From d0809694079a6b704c939e81d130c8c73c644c2c Mon Sep 17 00:00:00 2001
From: Robert Hirsch <dev@robert-hirsch.de>
Date: Mon, 29 Jul 2024 17:28:00 +0200
Subject: [PATCH 01/33] added llama3 prompt (#1962)

* added llama3 prompt

* more fixes to pass tests; changed type VectorStore -> BasePydanticVectorStore, see https://github.com/run-llama/llama_index/blob/main/CHANGELOG.md#2024-05-14

* fix: new llama3 prompt

---------

Co-authored-by: Javier Martinez <javiermartinezalvarez98@gmail.com>
---
 private_gpt/components/llm/prompt_helper.py | 72 ++++++++++++++++++++-
 private_gpt/settings/settings.py            |  5 +-
 pyproject.toml                              | 14 ++--
 tests/test_prompt_helper.py                 | 55 ++++++++++++++++
 4 files changed, 137 insertions(+), 9 deletions(-)

diff --git a/private_gpt/components/llm/prompt_helper.py b/private_gpt/components/llm/prompt_helper.py
index 7715820..b550020 100644
--- a/private_gpt/components/llm/prompt_helper.py
+++ b/private_gpt/components/llm/prompt_helper.py
@@ -138,6 +138,73 @@ class Llama2PromptStyle(AbstractPromptStyle):
         )
 
 
+class Llama3PromptStyle(AbstractPromptStyle):
+    r"""Template for Meta's Llama 3.1.
+
+    The format follows this structure:
+    <|begin_of_text|>
+    <|start_header_id|>system<|end_header_id|>
+
+    [System message content]<|eot_id|>
+    <|start_header_id|>user<|end_header_id|>
+
+    [User message content]<|eot_id|>
+    <|start_header_id|>assistant<|end_header_id|>
+
+    [Assistant message content]<|eot_id|>
+    ...
+    (Repeat for each message, including possible 'ipython' role)
+    """
+
+    BOS, EOS = "<|begin_of_text|>", "<|end_of_text|>"
+    B_INST, E_INST = "<|start_header_id|>", "<|end_header_id|>"
+    EOT = "<|eot_id|>"
+    B_SYS, E_SYS = "<|start_header_id|>system<|end_header_id|>", "<|eot_id|>"
+    ASSISTANT_INST = "<|start_header_id|>assistant<|end_header_id|>"
+    DEFAULT_SYSTEM_PROMPT = """\
+    You are a helpful, respectful and honest assistant. \
+    Always answer as helpfully as possible and follow ALL given instructions. \
+    Do not speculate or make up information. \
+    Do not reference any given instructions or context. \
+    """
+
+    def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
+        prompt = self.BOS
+        has_system_message = False
+
+        for i, message in enumerate(messages):
+            if not message or message.content is None:
+                continue
+            if message.role == MessageRole.SYSTEM:
+                prompt += f"{self.B_SYS}\n\n{message.content.strip()}{self.E_SYS}"
+                has_system_message = True
+            else:
+                role_header = f"{self.B_INST}{message.role.value}{self.E_INST}"
+                prompt += f"{role_header}\n\n{message.content.strip()}{self.EOT}"
+
+            # Add assistant header if the last message is not from the assistant
+            if i == len(messages) - 1 and message.role != MessageRole.ASSISTANT:
+                prompt += f"{self.ASSISTANT_INST}\n\n"
+
+        # Add default system prompt if no system message was provided
+        if not has_system_message:
+            prompt = (
+                f"{self.BOS}{self.B_SYS}\n\n{self.DEFAULT_SYSTEM_PROMPT}{self.E_SYS}"
+                + prompt[len(self.BOS) :]
+            )
+
+        # TODO: Implement tool handling logic
+
+        return prompt
+
+    def _completion_to_prompt(self, completion: str) -> str:
+        return (
+            f"{self.BOS}{self.B_SYS}\n\n{self.DEFAULT_SYSTEM_PROMPT}{self.E_SYS}"
+            f"{self.B_INST}user{self.E_INST}\n\n{completion.strip()}{self.EOT}"
+            f"{self.ASSISTANT_INST}\n\n"
+        )
+
+
 class TagPromptStyle(AbstractPromptStyle):
     """Tag prompt style (used by Vigogne) that uses the prompt style `<|ROLE|>`.
 
@@ -219,7 +286,8 @@ class ChatMLPromptStyle(AbstractPromptStyle):
 
 
 def get_prompt_style(
-    prompt_style: Literal["default", "llama2", "tag", "mistral", "chatml"] | None
+    prompt_style: Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"]
+    | None
 ) -> AbstractPromptStyle:
     """Get the prompt style to use from the given string.
 
@@ -230,6 +298,8 @@ def get_prompt_style(
         return DefaultPromptStyle()
     elif prompt_style == "llama2":
         return Llama2PromptStyle()
+    elif prompt_style == "llama3":
+        return Llama3PromptStyle()
     elif prompt_style == "tag":
         return TagPromptStyle()
     elif prompt_style == "mistral":
diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index 40b96ae..7ca6e05 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -111,12 +111,15 @@ class LLMSettings(BaseModel):
         0.1,
         description="The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual.",
     )
-    prompt_style: Literal["default", "llama2", "tag", "mistral", "chatml"] = Field(
+    prompt_style: Literal[
+        "default", "llama2", "llama3", "tag", "mistral", "chatml"
+    ] = Field(
         "llama2",
         description=(
             "The prompt style to use for the chat engine. "
             "If `default` - use the default prompt style from the llama_index. It should look like `role: message`.\n"
             "If `llama2` - use the llama2 prompt style from the llama_index. Based on `<s>`, `[INST]` and `<<SYS>>`.\n"
+            "If `llama3` - use the llama3 prompt style from the llama_index."
             "If `tag` - use the `tag` prompt style. It should look like `<|role|>: message`. \n"
             "If `mistral` - use the `mistral prompt style. It shoudl look like <s>[INST] {System Prompt} [/INST]</s>[INST] { UserInstructions } [/INST]"
             "`llama2` is the historic behaviour. `default` might work better with your custom models."
diff --git a/pyproject.toml b/pyproject.toml
index 1144c31..5c6429b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -124,7 +124,7 @@ target-version = ['py311']
 target-version = 'py311'
 
 # See all rules at https://beta.ruff.rs/docs/rules/
-select = [
+lint.select = [
     "E", # pycodestyle
     "W", # pycodestyle
     "F", # Pyflakes
@@ -141,7 +141,7 @@ select = [
     "RUF", # Ruff-specific rules
 ]
 
-ignore = [
+lint.ignore = [
     "E501", # "Line too long"
     # -> line length already regulated by black
     "PT011", # "pytest.raises() should specify expected exception"
@@ -159,24 +159,24 @@ ignore = [
     # -> "Missing docstring in public function too restrictive"
 ]
 
-[tool.ruff.pydocstyle]
+[tool.ruff.lint.pydocstyle]
 # Automatically disable rules that are incompatible with Google docstring convention
 convention = "google"
 
-[tool.ruff.pycodestyle]
+[tool.ruff.lint.pycodestyle]
 max-doc-length = 88
 
-[tool.ruff.flake8-tidy-imports]
+[tool.ruff.lint.flake8-tidy-imports]
 ban-relative-imports = "all"
 
-[tool.ruff.flake8-type-checking]
+[tool.ruff.lint.flake8-type-checking]
 strict = true
 runtime-evaluated-base-classes = ["pydantic.BaseModel"]
 # Pydantic needs to be able to evaluate types at runtime
 # see https://pypi.org/project/flake8-type-checking/ for flake8-type-checking documentation
 # see https://beta.ruff.rs/docs/settings/#flake8-type-checking-runtime-evaluated-base-classes for ruff documentation
 
-[tool.ruff.per-file-ignores]
+[tool.ruff.lint.per-file-ignores]
 # Allow missing docstrings for tests
 "tests/**/*.py" = ["D1"]
 
diff --git a/tests/test_prompt_helper.py b/tests/test_prompt_helper.py
index ef76437..ad9349c 100644
--- a/tests/test_prompt_helper.py
+++ b/tests/test_prompt_helper.py
@@ -5,6 +5,7 @@ from private_gpt.components.llm.prompt_helper import (
     ChatMLPromptStyle,
     DefaultPromptStyle,
     Llama2PromptStyle,
+    Llama3PromptStyle,
     MistralPromptStyle,
     TagPromptStyle,
     get_prompt_style,
@@ -139,3 +140,57 @@ def test_llama2_prompt_style_with_system_prompt():
     )
 
     assert prompt_style.messages_to_prompt(messages) == expected_prompt
+
+
+def test_llama3_prompt_style_format():
+    prompt_style = Llama3PromptStyle()
+    messages = [
+        ChatMessage(content="You are a helpful assistant", role=MessageRole.SYSTEM),
+        ChatMessage(content="Hello, how are you doing?", role=MessageRole.USER),
+    ]
+
+    expected_prompt = (
+        "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n"
+        "You are a helpful assistant<|eot_id|>"
+        "<|start_header_id|>user<|end_header_id|>\n\n"
+        "Hello, how are you doing?<|eot_id|>"
+        "<|start_header_id|>assistant<|end_header_id|>\n\n"
+    )
+
+    assert prompt_style.messages_to_prompt(messages) == expected_prompt
+
+
+def test_llama3_prompt_style_with_default_system():
+    prompt_style = Llama3PromptStyle()
+    messages = [
+        ChatMessage(content="Hello!", role=MessageRole.USER),
+    ]
+    expected = (
+        "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n"
+        f"{prompt_style.DEFAULT_SYSTEM_PROMPT}<|eot_id|>"
+        "<|start_header_id|>user<|end_header_id|>\n\nHello!<|eot_id|>"
+        "<|start_header_id|>assistant<|end_header_id|>\n\n"
+    )
+    assert prompt_style._messages_to_prompt(messages) == expected
+
+
+def test_llama3_prompt_style_with_assistant_response():
+    prompt_style = Llama3PromptStyle()
+    messages = [
+        ChatMessage(content="You are a helpful assistant", role=MessageRole.SYSTEM),
+        ChatMessage(content="What is the capital of France?", role=MessageRole.USER),
+        ChatMessage(
+            content="The capital of France is Paris.", role=MessageRole.ASSISTANT
+        ),
+    ]
+
+    expected_prompt = (
+        "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n"
+        "You are a helpful assistant<|eot_id|>"
+        "<|start_header_id|>user<|end_header_id|>\n\n"
+        "What is the capital of France?<|eot_id|>"
+        "<|start_header_id|>assistant<|end_header_id|>\n\n"
+        "The capital of France is Paris.<|eot_id|>"
+    )
+
+    assert prompt_style.messages_to_prompt(messages) == expected_prompt

From 65c5a1708b7ad9e2be34aaab0fe21510a45de7ba Mon Sep 17 00:00:00 2001
From: Quentin McGaw <quentin.mcgaw@gmail.com>
Date: Tue, 30 Jul 2024 17:59:38 +0200
Subject: [PATCH 02/33] chore(docker): dockerfiles improvements and fixes
 (#1792)

* `UID` and `GID` build arguments for `worker` user

* `POETRY_EXTRAS` build argument with default values

* Copy `Makefile` for `make ingest` command

* Do NOT copy markdown files
I doubt anyone reads a markdown file within a Docker image

* Fix PYTHONPATH value

* Set home directory to `/home/worker` when creating user

* Combine `ENV` instructions together

* Define environment variables with their defaults
- For documentation purposes
- Reflect defaults set in settings-docker.yml

* `PGPT_EMBEDDING_MODE` to define embedding mode

* Remove ineffective `python3 -m pipx ensurepath`

* Use `&&` instead of `;` to chain commands to detect failure better

* Add `--no-root` flag to poetry install commands

* Set PGPT_PROFILES to docker

* chore: remove envs

* chore: update to use ollama in docker-compose

* chore: don't copy makefile

* chore: don't copy fern

* fix: tiktoken cache

* fix: docker compose port

* fix: ffmpy dependency (#2020)

* fix: ffmpy dependency

* fix: block ffmpy to commit sha

* feat(llm): autopull ollama models (#2019)

* chore: update ollama (llm)

* feat: allow to autopull ollama models

* fix: mypy

* chore: install always ollama client

* refactor: check connection and pull ollama method to utils

* docs: update ollama config with autopulling info

...

* chore: autopull ollama models

* chore: add GID/UID comment

...

---------

Co-authored-by: Javier Martinez <javiermartinezalvarez98@gmail.com>
---
 Dockerfile.external  | 32 +++++++++++++++++++++-----------
 Dockerfile.local     | 30 ++++++++++++++++++++----------
 docker-compose.yaml  |  7 +++++--
 settings-docker.yaml |  3 ++-
 4 files changed, 48 insertions(+), 24 deletions(-)

diff --git a/Dockerfile.external b/Dockerfile.external
index 3e2530e..80ffde3 100644
--- a/Dockerfile.external
+++ b/Dockerfile.external
@@ -2,7 +2,6 @@ FROM python:3.11.6-slim-bookworm as base
 
 # Install poetry
 RUN pip install pipx
-RUN python3 -m pipx ensurepath
 RUN pipx install poetry
 ENV PATH="/root/.local/bin:$PATH"
 ENV PATH=".venv/bin/:$PATH"
@@ -14,27 +13,38 @@ FROM base as dependencies
 WORKDIR /home/worker/app
 COPY pyproject.toml poetry.lock ./
 
-RUN poetry install --extras "ui vector-stores-qdrant llms-ollama embeddings-ollama"
+ARG POETRY_EXTRAS="ui vector-stores-qdrant llms-ollama embeddings-ollama"
+RUN poetry install --no-root --extras "${POETRY_EXTRAS}"
 
 FROM base as app
-
 ENV PYTHONUNBUFFERED=1
 ENV PORT=8080
+ENV APP_ENV=prod
+ENV PYTHONPATH="$PYTHONPATH:/home/worker/app/private_gpt/"
 EXPOSE 8080
 
 # Prepare a non-root user
-RUN adduser --system worker
+# More info about how to configure UIDs and GIDs in Docker:
+# https://github.com/systemd/systemd/blob/main/docs/UIDS-GIDS.md
+
+# Define the User ID (UID) for the non-root user
+# UID 100 is chosen to avoid conflicts with existing system users
+ARG UID=100
+
+# Define the Group ID (GID) for the non-root user
+# GID 65534 is often used for the 'nogroup' or 'nobody' group
+ARG GID=65534
+
+RUN adduser --system --gid ${GID} --uid ${UID} --home /home/worker worker
 WORKDIR /home/worker/app
 
-RUN mkdir local_data; chown worker local_data
-RUN mkdir models; chown worker models
+RUN chown worker /home/worker/app
+RUN mkdir local_data && chown worker local_data
+RUN mkdir models && chown worker models
 COPY --chown=worker --from=dependencies /home/worker/app/.venv/ .venv
 COPY --chown=worker private_gpt/ private_gpt
-COPY --chown=worker fern/ fern
-COPY --chown=worker *.yaml *.md ./
+COPY --chown=worker *.yaml .
 COPY --chown=worker scripts/ scripts
 
-ENV PYTHONPATH="$PYTHONPATH:/private_gpt/"
-
 USER worker
-ENTRYPOINT python -m private_gpt
\ No newline at end of file
+ENTRYPOINT python -m private_gpt
diff --git a/Dockerfile.local b/Dockerfile.local
index 980a9b0..8ee9f1e 100644
--- a/Dockerfile.local
+++ b/Dockerfile.local
@@ -4,7 +4,6 @@ FROM python:3.11.6-slim-bookworm as base
 
 # Install poetry
 RUN pip install pipx
-RUN python3 -m pipx ensurepath
 RUN pipx install poetry
 ENV PATH="/root/.local/bin:$PATH"
 ENV PATH=".venv/bin/:$PATH"
@@ -24,28 +23,39 @@ FROM base as dependencies
 WORKDIR /home/worker/app
 COPY pyproject.toml poetry.lock ./
 
-RUN poetry install --extras "ui embeddings-huggingface llms-llama-cpp vector-stores-qdrant"
+ARG POETRY_EXTRAS="ui embeddings-huggingface llms-llama-cpp vector-stores-qdrant"
+RUN poetry install --no-root --extras "${POETRY_EXTRAS}"
 
 FROM base as app
 
 ENV PYTHONUNBUFFERED=1
 ENV PORT=8080
+ENV APP_ENV=prod
+ENV PYTHONPATH="$PYTHONPATH:/home/worker/app/private_gpt/"
 EXPOSE 8080
 
 # Prepare a non-root user
-RUN adduser --group worker
-RUN adduser --system --ingroup worker worker
+# More info about how to configure UIDs and GIDs in Docker:
+# https://github.com/systemd/systemd/blob/main/docs/UIDS-GIDS.md
+
+# Define the User ID (UID) for the non-root user
+# UID 100 is chosen to avoid conflicts with existing system users
+ARG UID=100
+
+# Define the Group ID (GID) for the non-root user
+# GID 65534 is often used for the 'nogroup' or 'nobody' group
+ARG GID=65534
+
+RUN adduser --system --gid ${GID} --uid ${UID} --home /home/worker worker
 WORKDIR /home/worker/app
 
-RUN mkdir local_data; chown worker local_data
-RUN mkdir models; chown worker models
+RUN chown worker /home/worker/app
+RUN mkdir local_data && chown worker local_data
+RUN mkdir models && chown worker models
 COPY --chown=worker --from=dependencies /home/worker/app/.venv/ .venv
 COPY --chown=worker private_gpt/ private_gpt
-COPY --chown=worker fern/ fern
-COPY --chown=worker *.yaml *.md ./
+COPY --chown=worker *.yaml ./
 COPY --chown=worker scripts/ scripts
 
-ENV PYTHONPATH="$PYTHONPATH:/private_gpt/"
-
 USER worker
 ENTRYPOINT python -m private_gpt
\ No newline at end of file
diff --git a/docker-compose.yaml b/docker-compose.yaml
index f12e1da..517af65 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -5,12 +5,15 @@ services:
     volumes:
       - ./local_data/:/home/worker/app/local_data
     ports:
-      - 8001:8080
+      - 8001:8001
     environment:
-      PORT: 8080
+      PORT: 8001
       PGPT_PROFILES: docker
       PGPT_MODE: ollama
+      PGPT_EMBED_MODE: ollama
   ollama:
     image: ollama/ollama:latest
+    ports:
+      - 11434:11434
     volumes:
       - ./models:/root/.ollama
diff --git a/settings-docker.yaml b/settings-docker.yaml
index d8037fa..59d5f16 100644
--- a/settings-docker.yaml
+++ b/settings-docker.yaml
@@ -6,7 +6,7 @@ llm:
   mode: ${PGPT_MODE:mock}
 
 embedding:
-  mode: ${PGPT_MODE:sagemaker}
+  mode: ${PGPT_EMBED_MODE:mock}
 
 llamacpp:
   llm_hf_repo_id: ${PGPT_HF_REPO_ID:TheBloke/Mistral-7B-Instruct-v0.1-GGUF}
@@ -30,6 +30,7 @@ ollama:
   repeat_last_n: ${PGPT_OLLAMA_REPEAT_LAST_N:64}
   repeat_penalty: ${PGPT_OLLAMA_REPEAT_PENALTY:1.2}
   request_timeout: ${PGPT_OLLAMA_REQUEST_TIMEOUT:600.0}
+  autopull_models: ${PGPT_OLLAMA_AUTOPULL_MODELS:true}
 
 ui:
   enabled: true

From 1020cd53288af71a17882781f392512568f1b846 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Wed, 31 Jul 2024 12:59:31 +0200
Subject: [PATCH 03/33] fix: light mode (#2025)

---
 private_gpt/ui/ui.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py
index 171b99c..d621bd2 100644
--- a/private_gpt/ui/ui.py
+++ b/private_gpt/ui/ui.py
@@ -317,7 +317,7 @@ class PrivateGptUi:
             "hr { margin-top: 1em; margin-bottom: 1em; border: 0; border-top: 1px solid #FFF; }"
             ".avatar-image { background-color: antiquewhite; border-radius: 2px; }"
             ".footer { text-align: center; margin-top: 20px; font-size: 14px; display: flex; align-items: center; justify-content: center; }"
-            ".footer-zylon-link { display:flex; margin-left: 5px; text-decoration: auto; color: #fff; }"
+            ".footer-zylon-link { display:flex; margin-left: 5px; text-decoration: auto; color: var(--body-text-color); }"
             ".footer-zylon-link:hover { color: #C7BAFF; }"
             ".footer-zylon-ico { height: 20px; margin-left: 5px; background-color: antiquewhite; border-radius: 2px; }",
         ) as blocks:

From e54a8fe0433252808d0a60f6a08a43c9f5a42f3b Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Wed, 31 Jul 2024 14:33:46 +0200
Subject: [PATCH 04/33] fix: prevent to ingest local files (by default) (#2010)

* feat: prevent to local ingestion (by default) and add white-list

* docs: add local ingestion warning

* docs: add missing comment

* fix: update exception error

* fix: black
---
 fern/docs/pages/manual/ingestion.mdx     |  8 +++
 private_gpt/settings/settings.py         | 25 ++++++++
 scripts/ingest_folder.py                 | 26 ++++++++-
 settings.yaml                            |  3 +
 tests/server/ingest/test_local_ingest.py | 74 ++++++++++++++++++++++++
 5 files changed, 133 insertions(+), 3 deletions(-)
 create mode 100644 tests/server/ingest/test_local_ingest.py

diff --git a/fern/docs/pages/manual/ingestion.mdx b/fern/docs/pages/manual/ingestion.mdx
index 9c7032a..9b10b95 100644
--- a/fern/docs/pages/manual/ingestion.mdx
+++ b/fern/docs/pages/manual/ingestion.mdx
@@ -8,6 +8,14 @@ The ingestion of documents can be done in different ways:
 
 ## Bulk Local Ingestion
 
+You will need to activate `data.local_ingestion.enabled` in your setting file to use this feature. Additionally,
+it is probably a good idea to set `data.local_ingestion.allow_ingest_from` to specify which folders are allowed to be ingested.
+
+<Callout intent = "warning">
+Be careful enabling this feature in a production environment, as it can be a security risk, as it allows users to
+ingest any local file with permissions.
+</Callout>
+
 When you are running PrivateGPT in a fully local setup, you can ingest a complete folder for convenience (containing
 pdf, text files, etc.)
 and optionally watch changes on it with the command:
diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index 7ca6e05..8ed7a5a 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -59,6 +59,27 @@ class AuthSettings(BaseModel):
     )
 
 
+class IngestionSettings(BaseModel):
+    """Ingestion configuration.
+
+    This configuration is used to control the ingestion of data into the system
+    using non-server methods. This is useful for local development and testing;
+    or to ingest in bulk from a folder.
+
+    Please note that this configuration is not secure and should be used in
+    a controlled environment only (setting right permissions, etc.).
+    """
+
+    enabled: bool = Field(
+        description="Flag indicating if local ingestion is enabled or not.",
+        default=False,
+    )
+    allow_ingest_from: list[str] = Field(
+        description="A list of folders that should be permitted to make ingest requests.",
+        default=[],
+    )
+
+
 class ServerSettings(BaseModel):
     env_name: str = Field(
         description="Name of the environment (prod, staging, local...)"
@@ -74,6 +95,10 @@ class ServerSettings(BaseModel):
 
 
 class DataSettings(BaseModel):
+    local_ingestion: IngestionSettings = Field(
+        description="Ingestion configuration",
+        default_factory=lambda: IngestionSettings(allow_ingest_from=["*"]),
+    )
     local_data_folder: str = Field(
         description="Path to local storage."
         "It will be treated as an absolute path if it starts with /"
diff --git a/scripts/ingest_folder.py b/scripts/ingest_folder.py
index ccda87c..b0b3a35 100755
--- a/scripts/ingest_folder.py
+++ b/scripts/ingest_folder.py
@@ -7,12 +7,13 @@ from pathlib import Path
 from private_gpt.di import global_injector
 from private_gpt.server.ingest.ingest_service import IngestService
 from private_gpt.server.ingest.ingest_watcher import IngestWatcher
+from private_gpt.settings.settings import Settings
 
 logger = logging.getLogger(__name__)
 
 
 class LocalIngestWorker:
-    def __init__(self, ingest_service: IngestService) -> None:
+    def __init__(self, ingest_service: IngestService, setting: Settings) -> None:
         self.ingest_service = ingest_service
 
         self.total_documents = 0
@@ -20,6 +21,24 @@ class LocalIngestWorker:
 
         self._files_under_root_folder: list[Path] = []
 
+        self.is_local_ingestion_enabled = setting.data.local_ingestion.enabled
+        self.allowed_local_folders = setting.data.local_ingestion.allow_ingest_from
+
+    def _validate_folder(self, folder_path: Path) -> None:
+        if not self.is_local_ingestion_enabled:
+            raise ValueError(
+                "Local ingestion is disabled."
+                "You can enable it in settings `ingestion.enabled`"
+            )
+
+        # Allow all folders if wildcard is present
+        if "*" in self.allowed_local_folders:
+            return
+
+        for allowed_folder in self.allowed_local_folders:
+            if not folder_path.is_relative_to(allowed_folder):
+                raise ValueError(f"Folder {folder_path} is not allowed for ingestion")
+
     def _find_all_files_in_folder(self, root_path: Path, ignored: list[str]) -> None:
         """Search all files under the root folder recursively.
 
@@ -28,6 +47,7 @@ class LocalIngestWorker:
         for file_path in root_path.iterdir():
             if file_path.is_file() and file_path.name not in ignored:
                 self.total_documents += 1
+                self._validate_folder(file_path)
                 self._files_under_root_folder.append(file_path)
             elif file_path.is_dir() and file_path.name not in ignored:
                 self._find_all_files_in_folder(file_path, ignored)
@@ -92,13 +112,13 @@ if args.log_file:
     logger.addHandler(file_handler)
 
 if __name__ == "__main__":
-
     root_path = Path(args.folder)
     if not root_path.exists():
         raise ValueError(f"Path {args.folder} does not exist")
 
     ingest_service = global_injector.get(IngestService)
-    worker = LocalIngestWorker(ingest_service)
+    settings = global_injector.get(Settings)
+    worker = LocalIngestWorker(ingest_service, settings)
     worker.ingest_folder(root_path, args.ignored)
 
     if args.ignored:
diff --git a/settings.yaml b/settings.yaml
index cd977a0..6f936dd 100644
--- a/settings.yaml
+++ b/settings.yaml
@@ -17,6 +17,9 @@ server:
     secret: "Basic c2VjcmV0OmtleQ=="
 
 data:
+  local_ingestion:
+    enabled: ${LOCAL_INGESTION_ENABLED:false}
+    allow_ingest_from: ["*"]
   local_data_folder: local_data/private_gpt
 
 ui:
diff --git a/tests/server/ingest/test_local_ingest.py b/tests/server/ingest/test_local_ingest.py
new file mode 100644
index 0000000..860000e
--- /dev/null
+++ b/tests/server/ingest/test_local_ingest.py
@@ -0,0 +1,74 @@
+import os
+import subprocess
+from pathlib import Path
+
+import pytest
+from fastapi.testclient import TestClient
+
+
+@pytest.fixture()
+def file_path() -> str:
+    return "test.txt"
+
+
+def create_test_file(file_path: str) -> None:
+    with open(file_path, "w") as f:
+        f.write("test")
+
+
+def clear_log_file(log_file_path: str) -> None:
+    if Path(log_file_path).exists():
+        os.remove(log_file_path)
+
+
+def read_log_file(log_file_path: str) -> str:
+    with open(log_file_path) as f:
+        return f.read()
+
+
+def init_structure(folder: str, file_path: str) -> None:
+    clear_log_file(file_path)
+    os.makedirs(folder, exist_ok=True)
+    create_test_file(f"{folder}/${file_path}")
+
+
+def test_ingest_one_file_in_allowed_folder(
+    file_path: str, test_client: TestClient
+) -> None:
+    allowed_folder = "local_data/tests/allowed_folder"
+    init_structure(allowed_folder, file_path)
+
+    test_env = os.environ.copy()
+    test_env["PGPT_PROFILES"] = "test"
+    test_env["LOCAL_INGESTION_ENABLED"] = "True"
+
+    result = subprocess.run(
+        ["python", "scripts/ingest_folder.py", allowed_folder],
+        capture_output=True,
+        text=True,
+        env=test_env,
+    )
+
+    assert result.returncode == 0, f"Script failed with error: {result.stderr}"
+    response_after = test_client.get("/v1/ingest/list")
+
+    count_ingest_after = len(response_after.json()["data"])
+    assert count_ingest_after > 0, "No documents were ingested"
+
+
+def test_ingest_disabled(file_path: str) -> None:
+    allowed_folder = "local_data/tests/allowed_folder"
+    init_structure(allowed_folder, file_path)
+
+    test_env = os.environ.copy()
+    test_env["PGPT_PROFILES"] = "test"
+    test_env["LOCAL_INGESTION_ENABLED"] = "False"
+
+    result = subprocess.run(
+        ["python", "scripts/ingest_folder.py", allowed_folder],
+        capture_output=True,
+        text=True,
+        env=test_env,
+    )
+
+    assert result.returncode != 0, f"Script failed with error: {result.stderr}"

From 9027d695c11fbb01e62424b855665de71d513417 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Wed, 31 Jul 2024 14:35:36 +0200
Subject: [PATCH 05/33] feat: make llama3.1 as default (#2022)

* feat: change ollama default model to llama3.1

* chore: bump versions

* feat: Change default model in local mode to llama3.1

* chore: make sure last poetry version is used

* fix: mypy

* fix: do not add BOS (with last llamacpp-python version)
---
 .../actions/install_dependencies/action.yml   |    2 +-
 Dockerfile.external                           |    3 +-
 Dockerfile.local                              |    3 +-
 fern/docs/pages/installation/installation.mdx |    9 +-
 .../pages/installation/troubleshooting.mdx    |    2 +-
 poetry.lock                                   | 4581 ++++++++---------
 private_gpt/components/llm/prompt_helper.py   |    7 +-
 private_gpt/launcher.py                       |    3 +-
 settings-docker.yaml                          |    6 +-
 settings-local.yaml                           |    8 +-
 settings-ollama-pg.yaml                       |    2 +-
 settings-ollama.yaml                          |    2 +-
 settings-vllm.yaml                            |    2 +-
 settings.yaml                                 |   10 +-
 tests/test_prompt_helper.py                   |    6 +-
 15 files changed, 2227 insertions(+), 2419 deletions(-)

diff --git a/.github/workflows/actions/install_dependencies/action.yml b/.github/workflows/actions/install_dependencies/action.yml
index 29234ee..0d70dca 100644
--- a/.github/workflows/actions/install_dependencies/action.yml
+++ b/.github/workflows/actions/install_dependencies/action.yml
@@ -8,7 +8,7 @@ inputs:
   poetry_version:
     required: true
     type: string
-    default: "1.5.1"
+    default: "1.8.3"
 
 runs:
   using: composite
diff --git a/Dockerfile.external b/Dockerfile.external
index 80ffde3..5a8b73a 100644
--- a/Dockerfile.external
+++ b/Dockerfile.external
@@ -2,7 +2,8 @@ FROM python:3.11.6-slim-bookworm as base
 
 # Install poetry
 RUN pip install pipx
-RUN pipx install poetry
+RUN python3 -m pipx ensurepath
+RUN pipx install poetry==1.8.3
 ENV PATH="/root/.local/bin:$PATH"
 ENV PATH=".venv/bin/:$PATH"
 
diff --git a/Dockerfile.local b/Dockerfile.local
index 8ee9f1e..fce9915 100644
--- a/Dockerfile.local
+++ b/Dockerfile.local
@@ -4,7 +4,8 @@ FROM python:3.11.6-slim-bookworm as base
 
 # Install poetry
 RUN pip install pipx
-RUN pipx install poetry
+RUN python3 -m pipx ensurepath
+RUN pipx install poetry==1.8.3
 ENV PATH="/root/.local/bin:$PATH"
 ENV PATH=".venv/bin/:$PATH"
 
diff --git a/fern/docs/pages/installation/installation.mdx b/fern/docs/pages/installation/installation.mdx
index c3d232a..f7457b3 100644
--- a/fern/docs/pages/installation/installation.mdx
+++ b/fern/docs/pages/installation/installation.mdx
@@ -28,6 +28,11 @@ pyenv local 3.11
 Install [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) for dependency management:
 Follow the instructions on the official Poetry website to install it.
 
+<Callout intent="warning">
+A bug exists in Poetry versions 1.7.0 and earlier. We strongly recommend upgrading to a tested version.
+To upgrade Poetry to latest tested version, run `poetry self update 1.8.3` after installing it.
+</Callout>
+
 ### 4. Optional: Install `make`
 To run various scripts, you need to install `make`. Follow the instructions for your operating system:
 #### macOS
@@ -135,14 +140,14 @@ Now, start Ollama service (it will start a local inference server, serving both
 ollama serve
 ```
 
-Install the models to be used, the default settings-ollama.yaml is configured to user mistral 7b LLM (~4GB) and nomic-embed-text Embeddings (~275MB)
+Install the models to be used, the default settings-ollama.yaml is configured to user llama3.1 8b LLM (~4GB) and nomic-embed-text Embeddings (~275MB)
 
 By default, PGPT will automatically pull models as needed. This behavior can be changed by modifying the `ollama.autopull_models` property.
 
 In any case, if you want to manually pull models, run the following commands:
 
 ```bash
-ollama pull mistral
+ollama pull llama3.1
 ollama pull nomic-embed-text
 ```
 
diff --git a/fern/docs/pages/installation/troubleshooting.mdx b/fern/docs/pages/installation/troubleshooting.mdx
index 586f002..50d87de 100644
--- a/fern/docs/pages/installation/troubleshooting.mdx
+++ b/fern/docs/pages/installation/troubleshooting.mdx
@@ -24,7 +24,7 @@ PrivateGPT uses the `AutoTokenizer` library to tokenize input text accurately. I
    In your `settings.yaml` file, specify the model you want to use:
    ```yaml
    llm:
-     tokenizer: mistralai/Mistral-7B-Instruct-v0.2
+     tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct
    ```
 2. **Set Access Token for Gated Models:**
    If you are using a gated model, ensure the `access_token` is set as mentioned in the previous section.
diff --git a/poetry.lock b/poetry.lock
index a7467be..24301f0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,87 +13,87 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.9.1"
+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "aiohttp-3.9.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72444d17777865734aa1a4d167794c34b63e5883abb90356a0364a28904e6c0"},
-    {file = "aiohttp-3.9.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9b05d5cbe9dafcdc733262c3a99ccf63d2f7ce02543620d2bd8db4d4f7a22f83"},
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+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:3fcb4046d2904378e3aeea1df51f697b0467f2aac55d232c87ba162709478c46"},
+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8cf142aa6c1a751fcb364158fd710b8a9be874b81889c2bd13aa8893197455e2"},
+    {file = "aiohttp-3.9.5-cp39-cp39-win32.whl", hash = "sha256:7b179eea70833c8dee51ec42f3b4097bd6370892fa93f510f76762105568cf09"},
+    {file = "aiohttp-3.9.5-cp39-cp39-win_amd64.whl", hash = "sha256:38d80498e2e169bc61418ff36170e0aad0cd268da8b38a17c4cf29d254a8b3f1"},
+    {file = "aiohttp-3.9.5.tar.gz", hash = "sha256:edea7d15772ceeb29db4aff55e482d4bcfb6ae160ce144f2682de02f6d693551"},
 ]
 
 [package.dependencies]
@@ -120,49 +120,26 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
-[[package]]
-name = "altair"
-version = "5.2.0"
-description = "Vega-Altair: A declarative statistical visualization library for Python."
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "altair-5.2.0-py3-none-any.whl", hash = "sha256:8c4888ad11db7c39f3f17aa7f4ea985775da389d79ac30a6c22856ab238df399"},
-    {file = "altair-5.2.0.tar.gz", hash = "sha256:2ad7f0c8010ebbc46319cc30febfb8e59ccf84969a201541c207bc3a4fa6cf81"},
-]
-
-[package.dependencies]
-jinja2 = "*"
-jsonschema = ">=3.0"
-numpy = "*"
-packaging = "*"
-pandas = ">=0.25"
-toolz = "*"
-
-[package.extras]
-dev = ["anywidget", "geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pyarrow (>=11)", "pytest", "pytest-cov", "ruff (>=0.1.3)", "types-jsonschema", "types-setuptools", "vega-datasets", "vegafusion[embed] (>=1.4.0)", "vl-convert-python (>=1.1.0)"]
-doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
-
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
-    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
 [[package]]
 name = "anyio"
-version = "3.7.1"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"},
-    {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
+    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
+    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
 ]
 
 [package.dependencies]
@@ -170,19 +147,19 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
-test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (<0.22)"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "asgiref"
-version = "3.7.2"
+version = "3.8.1"
 description = "ASGI specs, helper code, and adapters"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "asgiref-3.7.2-py3-none-any.whl", hash = "sha256:89b2ef2247e3b562a16eef663bc0e2e703ec6468e2fa8a5cd61cd449786d4f6e"},
-    {file = "asgiref-3.7.2.tar.gz", hash = "sha256:9e0ce3aa93a819ba5b45120216b23878cf6e8525eb3848653452b4192b92afed"},
+    {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
+    {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
 ]
 
 [package.extras]
@@ -258,31 +235,32 @@ test = ["flake8 (>=6.1,<7.0)", "uvloop (>=0.15.3)"]
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
-    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "azure-core"
-version = "1.30.1"
+version = "1.30.2"
 description = "Microsoft Azure Core Library for Python"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "azure-core-1.30.1.tar.gz", hash = "sha256:26273a254131f84269e8ea4464f3560c731f29c0c1f69ac99010845f239c1a8f"},
-    {file = "azure_core-1.30.1-py3-none-any.whl", hash = "sha256:7c5ee397e48f281ec4dd773d67a0a47a0962ed6fa833036057f9ea067f688e74"},
+    {file = "azure-core-1.30.2.tar.gz", hash = "sha256:a14dc210efcd608821aa472d9fb8e8d035d29b68993819147bc290a8ac224472"},
+    {file = "azure_core-1.30.2-py3-none-any.whl", hash = "sha256:cf019c1ca832e96274ae85abd3d9f752397194d9fea3b41487290562ac8abe4a"},
 ]
 
 [package.dependencies]
@@ -295,20 +273,21 @@ aio = ["aiohttp (>=3.0)"]
 
 [[package]]
 name = "azure-identity"
-version = "1.15.0"
+version = "1.17.1"
 description = "Microsoft Azure Identity Library for Python"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "azure-identity-1.15.0.tar.gz", hash = "sha256:4c28fc246b7f9265610eb5261d65931183d019a23d4b0e99357facb2e6c227c8"},
-    {file = "azure_identity-1.15.0-py3-none-any.whl", hash = "sha256:a14b1f01c7036f11f148f22cd8c16e05035293d714458d6b44ddf534d93eb912"},
+    {file = "azure-identity-1.17.1.tar.gz", hash = "sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea"},
+    {file = "azure_identity-1.17.1-py3-none-any.whl", hash = "sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382"},
 ]
 
 [package.dependencies]
-azure-core = ">=1.23.0,<2.0.0"
+azure-core = ">=1.23.0"
 cryptography = ">=2.5"
-msal = ">=1.24.0,<2.0.0"
-msal-extensions = ">=0.3.0,<2.0.0"
+msal = ">=1.24.0"
+msal-extensions = ">=0.3.0"
+typing-extensions = ">=4.0.0"
 
 [[package]]
 name = "backoff"
@@ -323,38 +302,38 @@ files = [
 
 [[package]]
 name = "bcrypt"
-version = "4.1.2"
+version = "4.2.0"
 description = "Modern password hashing for your software and your servers"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -417,17 +396,17 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.34.139"
+version = "1.34.149"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "boto3-1.34.149.tar.gz", hash = "sha256:f4e6489ba9dc7fb37d53e0e82dbc97f2cb0a4969ef3970e2c88b8f94023ae81a"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.139,<1.35.0"
+botocore = ">=1.34.149,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -436,13 +415,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.139"
+version = "1.34.149"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -455,46 +434,47 @@ crt = ["awscrt (==0.20.11)"]
 
 [[package]]
 name = "build"
-version = "1.0.3"
+version = "1.2.1"
 description = "A simple, correct Python build frontend"
 optional = true
-python-versions = ">= 3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "build-1.2.1.tar.gz", hash = "sha256:526263f4870c26f26c433545579475377b2b7588b6f1eac76a001e873ae3e19d"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "os_name == \"nt\""}
-packaging = ">=19.0"
+packaging = ">=19.1"
 pyproject_hooks = "*"
 
 [package.extras]
 docs = ["furo (>=2023.08.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"]
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-typing = ["importlib-metadata (>=5.1)", "mypy (>=1.5.0,<1.6.0)", "tomli", "typing-extensions (>=3.7.4.3)"]
+test = ["build[uv,virtualenv]", "filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0)", "setuptools (>=56.0.0)", "setuptools (>=56.0.0)", "setuptools (>=67.8.0)", "wheel (>=0.36.0)"]
+typing = ["build[uv]", "importlib-metadata (>=5.1)", "mypy (>=1.9.0,<1.10.0)", "tomli", "typing-extensions (>=3.7.4.3)"]
+uv = ["uv (>=0.1.18)"]
 virtualenv = ["virtualenv (>=20.0.35)"]
 
 [[package]]
 name = "cachetools"
-version = "5.3.2"
+version = "5.4.0"
 description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.7.4"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -673,36 +653,40 @@ files = [
 
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 name = "chroma-hnswlib"
-version = "0.7.3"
+version = "0.7.6"
 description = "Chromas fork of hnswlib"
 optional = true
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -710,25 +694,26 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.4.24"
+version = "0.5.5"
 description = "Chroma."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 bcrypt = ">=4.0.1"
 build = ">=1.0.3"
-chroma-hnswlib = "0.7.3"
+chroma-hnswlib = "0.7.6"
 fastapi = ">=0.95.2"
 grpcio = ">=1.58.0"
+httpx = ">=0.27.0"
 importlib-resources = "*"
 kubernetes = ">=28.1.0"
 mmh3 = ">=4.0.1"
-numpy = ">=1.22.5"
+numpy = ">=1.22.5,<2.0.0"
 onnxruntime = ">=1.14.1"
 opentelemetry-api = ">=1.2.0"
 opentelemetry-exporter-otlp-proto-grpc = ">=1.2.0"
@@ -737,11 +722,9 @@ opentelemetry-sdk = ">=1.2.0"
 orjson = ">=3.9.12"
 overrides = ">=7.3.1"
 posthog = ">=2.4.0"
-pulsar-client = ">=3.1.0"
 pydantic = ">=1.9"
 pypika = ">=0.48.9"
 PyYAML = ">=6.0.0"
-requests = ">=2.28"
 tenacity = ">=8.2.3"
 tokenizers = ">=0.13.2"
 tqdm = ">=4.65.0"
@@ -765,77 +748,77 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
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 python-versions = "~=3.8"
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 [package.dependencies]
@@ -883,126 +866,126 @@ cron = ["capturer (>=2.4)"]
 
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-doh = ["h2 (>=4.1.0)", "httpcore (>=0.17.3)", "httpx (>=0.24.1)"]
-doq = ["aioquic (>=0.9.20)"]
-idna = ["idna (>=2.1,<4.0)"]
-trio = ["trio (>=0.14,<0.23)"]
-wmi = ["wmi (>=1.5.1,<2.0.0)"]
+dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "mypy (>=1.8)", "pylint (>=3)", "pytest (>=7.4)", "pytest-cov (>=4.1.0)", "sphinx (>=7.2.0)", "twine (>=4.0.0)", "wheel (>=0.42.0)"]
+dnssec = ["cryptography (>=41)"]
+doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
+doq = ["aioquic (>=0.9.25)"]
+idna = ["idna (>=3.6)"]
+trio = ["trio (>=0.23)"]
+wmi = ["wmi (>=1.5.1)"]
 
 [[package]]
 name = "docx2txt"
@@ -1169,13 +1153,13 @@ files = [
 
 [[package]]
 name = "email-validator"
-version = "2.1.0.post1"
+version = "2.2.0"
 description = "A robust email address syntax and deliverability validation library."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1205,13 +1189,13 @@ tests = ["dj-database-url", "dj-email-url", "django-cache-url", "pytest"]
 
 [[package]]
 name = "fastapi"
-version = "0.111.0"
+version = "0.111.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1220,7 +1204,7 @@ fastapi-cli = ">=0.0.2"
 httpx = ">=0.23.0"
 itsdangerous = {version = ">=1.1.0", optional = true, markers = "extra == \"all\""}
 jinja2 = ">=2.11.2"
-orjson = ">=3.2.1"
+orjson = {version = ">=3.2.1", optional = true, markers = "extra == \"all\""}
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
 pydantic-extra-types = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
 pydantic-settings = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
@@ -1228,7 +1212,7 @@ python-multipart = ">=0.0.7"
 pyyaml = {version = ">=5.3.1", optional = true, markers = "extra == \"all\""}
 starlette = ">=0.37.2,<0.38.0"
 typing-extensions = ">=4.8.0"
-ujson = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0"
+ujson = {version = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0", optional = true, markers = "extra == \"all\""}
 uvicorn = {version = ">=0.12.0", extras = ["standard"]}
 
 [package.extras]
@@ -1263,92 +1247,92 @@ develop = false
 [package.source]
 type = "git"
 url = "https://github.com/EuDs63/ffmpy.git"
-reference = "HEAD"
+reference = "333a19ee4d21f32537c0508aa1942ef1aa7afe24"
 resolved_reference = "333a19ee4d21f32537c0508aa1942ef1aa7afe24"
 
 [[package]]
 name = "filelock"
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+version = "3.15.4"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
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+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
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 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
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 [package.extras]
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+all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
 graphite = ["lz4 (>=1.7.4.2)"]
-interpolatable = ["munkres", "scipy"]
-lxml = ["lxml (>=4.0,<5)"]
+interpolatable = ["munkres", "pycairo", "scipy"]
+lxml = ["lxml (>=4.0)"]
 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
 repacker = ["uharfbuzz (>=0.23.0)"]
@@ -1446,13 +1430,13 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2023.12.2"
+version = "2024.6.1"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1460,7 +1444,8 @@ abfs = ["adlfs"]
 adl = ["adlfs"]
 arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
-devel = ["pytest", "pytest-cov"]
+dev = ["pre-commit", "ruff"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
 dropbox = ["dropbox", "dropboxdrivefs", "requests"]
 full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
 fuse = ["fusepy"]
@@ -1470,13 +1455,16 @@ github = ["requests"]
 gs = ["gcsfs"]
 gui = ["panel"]
 hdfs = ["pyarrow (>=1)"]
-http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
 libarchive = ["libarchive-c"]
 oci = ["ocifs"]
 s3 = ["s3fs"]
 sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
+test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
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+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
 [[package]]
@@ -1523,13 +1511,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.136.0"
+version = "2.138.0"
 description = "Google API Client Library for Python"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1541,13 +1529,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.25.2"
+version = "2.32.0"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1602,38 +1590,38 @@ dev = ["Pillow", "absl-py", "black", "ipython", "nose2", "pandas", "pytype", "py
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.62.0"
+version = "1.63.2"
 description = "Common protobufs used in Google APIs"
 optional = true
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
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 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "gradio"
-version = "4.37.2"
+version = "4.39.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 aiofiles = ">=22.0,<24.0"
-altair = ">=4.2.0,<6.0"
+anyio = ">=3.0,<5.0"
 fastapi = "*"
 ffmpy = "*"
-gradio-client = "1.0.2"
+gradio-client = "1.1.1"
 httpx = ">=0.24.1"
 huggingface-hub = ">=0.19.3"
 importlib-resources = ">=1.3,<7.0"
@@ -1662,13 +1650,13 @@ oauth = ["authlib", "itsdangerous"]
 
 [[package]]
 name = "gradio-client"
-version = "1.0.2"
+version = "1.1.1"
 description = "Python library for easily interacting with trained machine learning models"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1681,222 +1669,214 @@ websockets = ">=10.0,<12.0"
 
 [[package]]
 name = "greenlet"
-version = "3.0.2"
+version = "3.0.3"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
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 [package.extras]
-docs = ["Sphinx"]
+docs = ["Sphinx", "furo"]
 test = ["objgraph", "psutil"]
 
 [[package]]
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 ]
 
 [package.dependencies]
-grpcio = ">=1.60.0"
+grpcio = ">=1.62.2"
 protobuf = ">=4.21.6,<5.0dev"
 setuptools = "*"
 
@@ -1939,13 +1919,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.2"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1956,7 +1936,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httplib2"
@@ -2047,13 +2027,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.23.4"
+version = "0.24.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -2068,17 +2048,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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 cli = ["InquirerPy (==0.3.4)"]
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 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["safetensors", "torch"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -2108,13 +2088,13 @@ files = [
 
 [[package]]
 name = "identify"
-version = "2.5.33"
+version = "2.6.0"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -2122,48 +2102,48 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.6"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
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-    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
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+    {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.11.0"
+version = "8.0.0"
 description = "Read metadata from Python packages"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
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+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
-version = "6.1.1"
+version = "6.4.0"
 description = "Read resources from Python packages"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_resources-6.1.1-py3-none-any.whl", hash = "sha256:e8bf90d8213b486f428c9c39714b920041cb02c184686a3dee24905aaa8105d6"},
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+    {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
+    {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
 ]
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff", "zipp (>=3.17)"]
+testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
 
 [[package]]
 name = "iniconfig"
@@ -2190,40 +2170,26 @@ files = [
 [package.extras]
 dev = ["black (==23.3.0)", "build (==0.10.0)", "check-manifest (==0.49)", "click (==8.1.3)", "coverage (==7.2.7)", "exceptiongroup (==1.1.1)", "iniconfig (==2.0.0)", "mypy (==1.4.1)", "mypy-extensions (==1.0.0)", "packaging (==23.1)", "pathspec (==0.11.1)", "platformdirs (==3.8.0)", "pluggy (==1.2.0)", "pyproject-hooks (==1.0.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "tomli (==2.0.1)", "typing-extensions (==4.7.0)"]
 
-[[package]]
-name = "intel-openmp"
-version = "2021.4.0"
-description = "Intel OpenMP* Runtime Library"
-optional = true
-python-versions = "*"
-files = [
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-    {file = "intel_openmp-2021.4.0-py2.py3-none-win32.whl", hash = "sha256:6e863d8fd3d7e8ef389d52cf97a50fe2afe1a19247e8c0d168ce021546f96fc9"},
-    {file = "intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl", hash = "sha256:eef4c8bcc8acefd7f5cd3b9384dbf73d59e2c99fc56545712ded913f43c4a94f"},
-]
-
 [[package]]
 name = "itsdangerous"
-version = "2.1.2"
+version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"},
-    {file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"},
+    {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"},
+    {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
 ]
 
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
-    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
+    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
 ]
 
 [package.dependencies]
@@ -2245,50 +2211,15 @@ files = [
 
 [[package]]
 name = "joblib"
-version = "1.3.2"
+version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
-    {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
-]
-
-[[package]]
-name = "jsonschema"
-version = "4.20.0"
-description = "An implementation of JSON Schema validation for Python"
-optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.20.0-py3-none-any.whl", hash = "sha256:ed6231f0429ecf966f5bc8dfef245998220549cbbcf140f913b7464c52c3b6b3"},
-    {file = "jsonschema-4.20.0.tar.gz", hash = "sha256:4f614fd46d8d61258610998997743ec5492a648b33cf478c1ddc23ed4598a5fa"},
+    {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
+    {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
 ]
 
-[package.dependencies]
-attrs = ">=22.2.0"
-jsonschema-specifications = ">=2023.03.6"
-referencing = ">=0.28.4"
-rpds-py = ">=0.7.1"
-
-[package.extras]
-format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
-
-[[package]]
-name = "jsonschema-specifications"
-version = "2023.11.2"
-description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "jsonschema_specifications-2023.11.2-py3-none-any.whl", hash = "sha256:e74ba7c0a65e8cb49dc26837d6cfe576557084a8b423ed16a420984228104f93"},
-    {file = "jsonschema_specifications-2023.11.2.tar.gz", hash = "sha256:9472fc4fea474cd74bea4a2b190daeccb5a9e4db2ea80efcf7a1b582fc9a81b8"},
-]
-
-[package.dependencies]
-referencing = ">=0.31.0"
-
 [[package]]
 name = "kiwisolver"
 version = "1.4.5"
@@ -2428,29 +2359,14 @@ websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
 [package.extras]
 adal = ["adal (>=1.0.2)"]
 
-[[package]]
-name = "llama-cloud"
-version = "0.0.6"
-description = ""
-optional = false
-python-versions = "<4,>=3.8"
-files = [
-    {file = "llama_cloud-0.0.6-py3-none-any.whl", hash = "sha256:0f07c8a865be632b543dec2bcad350a68a61f13413a7421b4b03de32c36f0194"},
-    {file = "llama_cloud-0.0.6.tar.gz", hash = "sha256:33b94cd119133dcb2899c9b69e8e1c36aec7bc7e80062c55c65f15618722e091"},
-]
-
-[package.dependencies]
-httpx = ">=0.20.0"
-pydantic = ">=1.10"
-
 [[package]]
 name = "llama-cpp-python"
-version = "0.2.53"
+version = "0.2.84"
 description = "Python bindings for the llama.cpp library"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "llama_cpp_python-0.2.53.tar.gz", hash = "sha256:f7ff8eda538ca6c80521a8bbf80d3ef4527ecb28f6d08fa9b3bb1f0cfc3b684e"},
+    {file = "llama_cpp_python-0.2.84.tar.gz", hash = "sha256:51bfd2918fe92060c895a9d64455e7f6370b34e5496edfeaa3f0c17439f155fe"},
 ]
 
 [package.dependencies]
@@ -2462,18 +2378,18 @@ typing-extensions = ">=4.5.0"
 [package.extras]
 all = ["llama_cpp_python[dev,server,test]"]
 dev = ["black (>=23.3.0)", "httpx (>=0.24.1)", "mkdocs (>=1.4.3)", "mkdocs-material (>=9.1.18)", "mkdocstrings[python] (>=0.22.0)", "pytest (>=7.4.0)", "twine (>=4.0.2)"]
-server = ["fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"]
+server = ["PyYAML (>=5.1)", "fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"]
 test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
 
 [[package]]
 name = "llama-index-core"
-version = "0.10.52.post1"
+version = "0.10.58"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_core-0.10.52.post1-py3-none-any.whl", hash = "sha256:df74890d4df65c5973b58a482487070fea9384cf5c53fcb708b3661bcca9c44c"},
-    {file = "llama_index_core-0.10.52.post1.tar.gz", hash = "sha256:48a2f4891eefed6909cc545784f224df315b1c3e5ca2cb587c4e8325d4a9e5ce"},
+    {file = "llama_index_core-0.10.58-py3-none-any.whl", hash = "sha256:2345d9b20e21d0ec00e9282fe88a5e4a0eba2e732e577d1b0348512e9181a74f"},
+    {file = "llama_index_core-0.10.58.tar.gz", hash = "sha256:f5730be1861a8fd0ef94e9f412a713132184b887b8a79347514efb672bf749fc"},
 ]
 
 [package.dependencies]
@@ -2483,7 +2399,6 @@ deprecated = ">=1.2.9.3"
 dirtyjson = ">=1.0.8,<2.0.0"
 fsspec = ">=2023.5.0"
 httpx = "*"
-llama-cloud = ">=0.0.6,<0.0.7"
 nest-asyncio = ">=1.5.8,<2.0.0"
 networkx = ">=3.0"
 nltk = ">=3.8.1,<4.0.0"
@@ -2503,13 +2418,13 @@ wrapt = "*"
 
 [[package]]
 name = "llama-index-embeddings-azure-openai"
-version = "0.1.10"
+version = "0.1.11"
 description = "llama-index embeddings azure openai integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_embeddings_azure_openai-0.1.10-py3-none-any.whl", hash = "sha256:b100b7338bdfb236ea445eab341c52db8945dac3642141134ec77302ac6fa405"},
-    {file = "llama_index_embeddings_azure_openai-0.1.10.tar.gz", hash = "sha256:e772268d064f082c2d276c26505a3c087973e766d3d411d0e12f14f38dd92eaa"},
+    {file = "llama_index_embeddings_azure_openai-0.1.11-py3-none-any.whl", hash = "sha256:afefe55ee69934528c569ddf71fb1e9ddf2992b6c344c4c9d72a03fa8c33cf40"},
+    {file = "llama_index_embeddings_azure_openai-0.1.11.tar.gz", hash = "sha256:40a4fd9a31ba74f071739d6c8405187b66e7f584ae2f64a30316c6c7b6a25325"},
 ]
 
 [package.dependencies]
@@ -2564,13 +2479,13 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-embeddings-openai"
-version = "0.1.10"
+version = "0.1.11"
 description = "llama-index embeddings openai integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_embeddings_openai-0.1.10-py3-none-any.whl", hash = "sha256:c3cfa83b537ded34d035fc172a945dd444c87fb58a89b02dfbf785b675f9f681"},
-    {file = "llama_index_embeddings_openai-0.1.10.tar.gz", hash = "sha256:1bc1fc9b46773a12870c5d3097d3735d7ca33805f12462a8e35ae8a6e5ce1cf6"},
+    {file = "llama_index_embeddings_openai-0.1.11-py3-none-any.whl", hash = "sha256:e20806fc4baff6b8f5274decf2c1ca7c5c737648e01865475ffada164e32e173"},
+    {file = "llama_index_embeddings_openai-0.1.11.tar.gz", hash = "sha256:6025e229e375201788a9b14d6ebe470329907576cba5f6b7b832c3d68f39db30"},
 ]
 
 [package.dependencies]
@@ -2578,13 +2493,13 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-llms-azure-openai"
-version = "0.1.8"
+version = "0.1.10"
 description = "llama-index llms azure openai integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_azure_openai-0.1.8-py3-none-any.whl", hash = "sha256:a906cac9e20d686de6b4930f1095c2bc3373e8ec758249f84109e49dd36983ab"},
-    {file = "llama_index_llms_azure_openai-0.1.8.tar.gz", hash = "sha256:bc6d8990322573dcf74c5962df07fbf39394a0c1cf53e024f70d4f468024e191"},
+    {file = "llama_index_llms_azure_openai-0.1.10-py3-none-any.whl", hash = "sha256:8666b095118ed9c5087dc2d91a83a826d4549ea4d442b9eef363e243207d3539"},
+    {file = "llama_index_llms_azure_openai-0.1.10.tar.gz", hash = "sha256:f1624c9bd7bf4458e98cca6f3b805eec06105fa951536ff24b098d913d2368bd"},
 ]
 
 [package.dependencies]
@@ -2640,17 +2555,17 @@ ollama = ">=0.3.0"
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.1.25"
+version = "0.1.27"
 description = "llama-index llms openai integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_openai-0.1.25-py3-none-any.whl", hash = "sha256:d1922ad2f2bb4697a6ee2f61793aeb2f5c5606302639559dd9bb0a1d6ab9e73f"},
-    {file = "llama_index_llms_openai-0.1.25.tar.gz", hash = "sha256:49750f71d58e762a597ce639a2ccb119195c47aefa8a48c55c77be8a5cec4bc5"},
+    {file = "llama_index_llms_openai-0.1.27-py3-none-any.whl", hash = "sha256:8da0e90d4a558667d2b9cf1b3f577a4cb7723b7680ed6d22027b0baf9cd5999e"},
+    {file = "llama_index_llms_openai-0.1.27.tar.gz", hash = "sha256:37c2d1159b56607d3a807d90260ee25b4f002086d6251c7272afbc53f2514603"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.24,<0.11.0"
+llama-index-core = ">=0.10.57,<0.11.0"
 
 [[package]]
 name = "llama-index-llms-openai-like"
@@ -2670,13 +2585,13 @@ transformers = ">=4.37.0,<5.0.0"
 
 [[package]]
 name = "llama-index-readers-file"
-version = "0.1.27"
+version = "0.1.31"
 description = "llama-index readers file integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_readers_file-0.1.27-py3-none-any.whl", hash = "sha256:8ead32dfbd328642c20ab8bd434a61c616b5a955642583a3bedbe454ed0b0dda"},
-    {file = "llama_index_readers_file-0.1.27.tar.gz", hash = "sha256:04c9bc3063a9409fcd877f77d9b2abfd502e072763aa6dd788e0c637418b8664"},
+    {file = "llama_index_readers_file-0.1.31-py3-none-any.whl", hash = "sha256:4f026988fce7daad50f000b4feba1a25bf564f4d80b13777c528ddd63ee833b4"},
+    {file = "llama_index_readers_file-0.1.31.tar.gz", hash = "sha256:067469d90292635937cdd7a00c35b73b0248946520b565dcbfed1c2d29566569"},
 ]
 
 [package.dependencies]
@@ -2764,13 +2679,13 @@ llama-index-core = ">=0.10.5,<0.11.0"
 
 [[package]]
 name = "llama-index-vector-stores-milvus"
-version = "0.1.20"
+version = "0.1.21"
 description = "llama-index vector_stores milvus integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_vector_stores_milvus-0.1.20-py3-none-any.whl", hash = "sha256:27a61fd237e67b648f36964c2e25275df4cb20dd740d111f0b75db477259ef5b"},
-    {file = "llama_index_vector_stores_milvus-0.1.20.tar.gz", hash = "sha256:461bccce036be7bb739e57eb3855f64557c506023febfc08f98899778d460602"},
+    {file = "llama_index_vector_stores_milvus-0.1.21-py3-none-any.whl", hash = "sha256:272047d5fec42a00fb44b3368f194b074888688195a12b46d9d94b25bb903377"},
+    {file = "llama_index_vector_stores_milvus-0.1.21.tar.gz", hash = "sha256:09467f730ebc4cdebfe8a5fc1b0ce49c5ed0ca4cf68b5826f64fc31535992da6"},
 ]
 
 [package.dependencies]
@@ -2779,13 +2694,13 @@ pymilvus = ">=2.3.6,<3.0.0"
 
 [[package]]
 name = "llama-index-vector-stores-postgres"
-version = "0.1.11"
+version = "0.1.12"
 description = "llama-index vector_stores postgres integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_vector_stores_postgres-0.1.11-py3-none-any.whl", hash = "sha256:a3856372579c541457dfde295858cb9d8719f588d559f55d57bc6174f93a8293"},
-    {file = "llama_index_vector_stores_postgres-0.1.11.tar.gz", hash = "sha256:ce23ff9549c5269bdccba638875b921faaa4a581cefb753e99f8365c82487a0e"},
+    {file = "llama_index_vector_stores_postgres-0.1.12-py3-none-any.whl", hash = "sha256:76e2818d954a4ecd1364c36d73106133bc9f6d6e2fc1298755ea3c74c5ce0a69"},
+    {file = "llama_index_vector_stores_postgres-0.1.12.tar.gz", hash = "sha256:87e9a30cb19fdf697e0c23aedb3554ba5ce46cdc0901192cf3c6a442740dee7f"},
 ]
 
 [package.dependencies]
@@ -2797,19 +2712,19 @@ sqlalchemy = {version = ">=1.4.49,<2.1", extras = ["asyncio"]}
 
 [[package]]
 name = "llama-index-vector-stores-qdrant"
-version = "0.2.10"
+version = "0.2.14"
 description = "llama-index vector_stores qdrant integration"
 optional = true
 python-versions = "<3.13,>=3.9"
 files = [
-    {file = "llama_index_vector_stores_qdrant-0.2.10-py3-none-any.whl", hash = "sha256:bd290bb1e7715984aca25e740da8b291c805746b1c97e9fa8e3fe061a06a608f"},
-    {file = "llama_index_vector_stores_qdrant-0.2.10.tar.gz", hash = "sha256:905519884eebb55410cda4ecb4a39a3365e429943bc9da9547fdb1c8f755b6df"},
+    {file = "llama_index_vector_stores_qdrant-0.2.14-py3-none-any.whl", hash = "sha256:ddf5d6ac85d93459dc1e578394de97f6eb5ecb56c584daec3cf6063f0d715cc0"},
+    {file = "llama_index_vector_stores_qdrant-0.2.14.tar.gz", hash = "sha256:fb0c3064d417b76341495a98705e404e2cb92b60a4bbe02eba1ba78bbbac9ca2"},
 ]
 
 [package.dependencies]
 grpcio = ">=1.60.0,<2.0.0"
 llama-index-core = ">=0.10.1,<0.11.0"
-qdrant-client = ">=1.7.1,<2.0.0"
+qdrant-client = ">=1.7.1"
 
 [[package]]
 name = "lz4"
@@ -2887,128 +2802,128 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
 [[package]]
 name = "markupsafe"
-version = "2.1.3"
+version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52"},
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 [[package]]
 name = "marshmallow"
-version = "3.20.1"
+version = "3.21.3"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 packaging = ">=17.0"
 
 [package.extras]
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-lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
+dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
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 tests = ["pytest", "pytz", "simplejson"]
 
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 name = "matplotlib"
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 description = "Python plotting package"
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 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
@@ -3016,12 +2931,15 @@ contourpy = ">=1.0.1"
 cycler = ">=0.10"
 fonttools = ">=4.22.0"
 kiwisolver = ">=1.3.1"
-numpy = ">=1.21,<2"
+numpy = ">=1.23"
 packaging = ">=20.0"
 pillow = ">=8"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
+[package.extras]
+dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -3066,95 +2984,93 @@ files = [
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 [package.extras]
@@ -3190,164 +3106,176 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "msal"
-version = "1.27.0"
+version = "1.30.0"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
 optional = true
-python-versions = ">=2.7"
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 ]
 
 [package.dependencies]
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 PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
 requests = ">=2.0.0,<3"
 
 [package.extras]
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 [[package]]
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-    {version = ">=1.6,<3", markers = "platform_system == \"Windows\""},
-]
+msal = ">=1.29,<2"
+portalocker = ">=1.4,<3"
 
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 ]
 
 [[package]]
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 [[package]]
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 description = "cuDNN runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
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 [package.dependencies]
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 description = "Nvidia JIT LTO Library"
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 python-versions = ">=3"
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 [[package]]
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 [[package]]
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 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
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 ]
 
 [package.dependencies]
 coloredlogs = "*"
 flatbuffers = "*"
-numpy = ">=1.21.6"
+numpy = ">=1.21.6,<2.0"
 packaging = "*"
 protobuf = "*"
 sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.5.0"
+version = "1.37.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -3708,74 +3638,69 @@ httpx = ">=0.23.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tqdm = ">4"
-typing-extensions = ">=4.5,<5"
+typing-extensions = ">=4.7,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.21.0"
+version = "1.26.0"
 description = "OpenTelemetry Python API"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<7.0"
+importlib-metadata = ">=6.0,<=8.0.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.21.0"
+version = "1.26.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "opentelemetry_exporter_otlp_proto_common-1.26.0-py3-none-any.whl", hash = "sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.26.0.tar.gz", hash = "sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92"},
 ]
 
 [package.dependencies]
-backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
-opentelemetry-proto = "1.21.0"
+opentelemetry-proto = "1.26.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.21.0"
+version = "1.26.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.21.0-py3-none-any.whl", hash = "sha256:ab37c63d6cb58d6506f76d71d07018eb1f561d83e642a8f5aa53dddf306087a4"},
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.21.0.tar.gz", hash = "sha256:a497c5611245a2d17d9aa1e1cbb7ab567843d53231dcc844a62cea9f0924ffa7"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.26.0-py3-none-any.whl", hash = "sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.26.0.tar.gz", hash = "sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae"},
 ]
 
 [package.dependencies]
-backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
 deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
 grpcio = ">=1.0.0,<2.0.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.21.0"
-opentelemetry-proto = "1.21.0"
-opentelemetry-sdk = ">=1.21.0,<1.22.0"
-
-[package.extras]
-test = ["pytest-grpc"]
+opentelemetry-exporter-otlp-proto-common = "1.26.0"
+opentelemetry-proto = "1.26.0"
+opentelemetry-sdk = ">=1.26.0,<1.27.0"
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.42b0"
+version = "0.47b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation-0.42b0-py3-none-any.whl", hash = "sha256:65ae54ddb90ca2d05d2d16bf6863173e7141eba1bbbf41fc9bbb02446adbe369"},
-    {file = "opentelemetry_instrumentation-0.42b0.tar.gz", hash = "sha256:6a653a1fed0f76eea32885321d77c750483e987eeefa4cbf219fc83559543198"},
+    {file = "opentelemetry_instrumentation-0.47b0-py3-none-any.whl", hash = "sha256:88974ee52b1db08fc298334b51c19d47e53099c33740e48c4f084bd1afd052d5"},
+    {file = "opentelemetry_instrumentation-0.47b0.tar.gz", hash = "sha256:96f9885e450c35e3f16a4f33145f2ebf620aea910c9fd74a392bbc0f807a350f"},
 ]
 
 [package.dependencies]
@@ -3785,57 +3710,55 @@ wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.42b0"
+version = "0.47b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_asgi-0.42b0-py3-none-any.whl", hash = "sha256:79b7278fb614aba1bf2211060960d3e8501c1d7d9314b857b30ad80ba34a2805"},
-    {file = "opentelemetry_instrumentation_asgi-0.42b0.tar.gz", hash = "sha256:da1d5dd4f172c44c6c100dae352e1fd0ae36dc4f266b3fed68ce9d5ab94c9146"},
+    {file = "opentelemetry_instrumentation_asgi-0.47b0-py3-none-any.whl", hash = "sha256:b798dc4957b3edc9dfecb47a4c05809036a4b762234c5071212fda39ead80ade"},
+    {file = "opentelemetry_instrumentation_asgi-0.47b0.tar.gz", hash = "sha256:e78b7822c1bca0511e5e9610ec484b8994a81670375e570c76f06f69af7c506a"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.42b0"
-opentelemetry-semantic-conventions = "0.42b0"
-opentelemetry-util-http = "0.42b0"
+opentelemetry-instrumentation = "0.47b0"
+opentelemetry-semantic-conventions = "0.47b0"
+opentelemetry-util-http = "0.47b0"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
-test = ["opentelemetry-instrumentation-asgi[instruments]", "opentelemetry-test-utils (==0.42b0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.42b0"
+version = "0.47b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_fastapi-0.42b0-py3-none-any.whl", hash = "sha256:d53a26c4859767d5ba67109038cabc7165d97a8a8b7654ccde4ce290036d1725"},
-    {file = "opentelemetry_instrumentation_fastapi-0.42b0.tar.gz", hash = "sha256:7181d4886e57182e93477c4b797a7cd5467820b93c238eeb3e7d27a563c176e8"},
+    {file = "opentelemetry_instrumentation_fastapi-0.47b0-py3-none-any.whl", hash = "sha256:5ac28dd401160b02e4f544a85a9e4f61a8cbe5b077ea0379d411615376a2bd21"},
+    {file = "opentelemetry_instrumentation_fastapi-0.47b0.tar.gz", hash = "sha256:0c7c10b5d971e99a420678ffd16c5b1ea4f0db3b31b62faf305fbb03b4ebee36"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.42b0"
-opentelemetry-instrumentation-asgi = "0.42b0"
-opentelemetry-semantic-conventions = "0.42b0"
-opentelemetry-util-http = "0.42b0"
+opentelemetry-instrumentation = "0.47b0"
+opentelemetry-instrumentation-asgi = "0.47b0"
+opentelemetry-semantic-conventions = "0.47b0"
+opentelemetry-util-http = "0.47b0"
 
 [package.extras]
-instruments = ["fastapi (>=0.58,<1.0)"]
-test = ["httpx (>=0.22,<1.0)", "opentelemetry-instrumentation-fastapi[instruments]", "opentelemetry-test-utils (==0.42b0)", "requests (>=2.23,<3.0)"]
+instruments = ["fastapi (>=0.58,<1.0)", "fastapi-slim (>=0.111.0,<0.112.0)"]
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.21.0"
+version = "1.26.0"
 description = "OpenTelemetry Python Proto"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_proto-1.21.0-py3-none-any.whl", hash = "sha256:32fc4248e83eebd80994e13963e683f25f3b443226336bb12b5b6d53638f50ba"},
-    {file = "opentelemetry_proto-1.21.0.tar.gz", hash = "sha256:7d5172c29ed1b525b5ecf4ebe758c7138a9224441b3cfe683d0a237c33b1941f"},
+    {file = "opentelemetry_proto-1.26.0-py3-none-any.whl", hash = "sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725"},
+    {file = "opentelemetry_proto-1.26.0.tar.gz", hash = "sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e"},
 ]
 
 [package.dependencies]
@@ -3843,186 +3766,196 @@ protobuf = ">=3.19,<5.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.21.0"
+version = "1.26.0"
 description = "OpenTelemetry Python SDK"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_sdk-1.21.0-py3-none-any.whl", hash = "sha256:9fe633243a8c655fedace3a0b89ccdfc654c0290ea2d8e839bd5db3131186f73"},
-    {file = "opentelemetry_sdk-1.21.0.tar.gz", hash = "sha256:3ec8cd3020328d6bc5c9991ccaf9ae820ccb6395a5648d9a95d3ec88275b8879"},
+    {file = "opentelemetry_sdk-1.26.0-py3-none-any.whl", hash = "sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897"},
+    {file = "opentelemetry_sdk-1.26.0.tar.gz", hash = "sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.21.0"
-opentelemetry-semantic-conventions = "0.42b0"
+opentelemetry-api = "1.26.0"
+opentelemetry-semantic-conventions = "0.47b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.42b0"
+version = "0.47b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_semantic_conventions-0.42b0-py3-none-any.whl", hash = "sha256:5cd719cbfec448af658860796c5d0fcea2fdf0945a2bed2363f42cb1ee39f526"},
-    {file = "opentelemetry_semantic_conventions-0.42b0.tar.gz", hash = "sha256:44ae67a0a3252a05072877857e5cc1242c98d4cf12870159f1a94bec800d38ec"},
+    {file = "opentelemetry_semantic_conventions-0.47b0-py3-none-any.whl", hash = "sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063"},
+    {file = "opentelemetry_semantic_conventions-0.47b0.tar.gz", hash = "sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e"},
 ]
 
+[package.dependencies]
+deprecated = ">=1.2.6"
+opentelemetry-api = "1.26.0"
+
 [[package]]
 name = "opentelemetry-util-http"
-version = "0.42b0"
+version = "0.47b0"
 description = "Web util for OpenTelemetry"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_util_http-0.42b0-py3-none-any.whl", hash = "sha256:764069ed2f7e9a98ed1a7a87111f838000484e388e81f467405933be4b0306c6"},
-    {file = "opentelemetry_util_http-0.42b0.tar.gz", hash = "sha256:665e7d372837811aa08cbb9102d4da862441d1c9b1795d649ef08386c8a3cbbd"},
+    {file = "opentelemetry_util_http-0.47b0-py3-none-any.whl", hash = "sha256:3d3215e09c4a723b12da6d0233a31395aeb2bb33a64d7b15a1500690ba250f19"},
+    {file = "opentelemetry_util_http-0.47b0.tar.gz", hash = "sha256:352a07664c18eef827eb8ddcbd64c64a7284a39dd1655e2f16f577eb046ccb32"},
 ]
 
 [[package]]
 name = "orjson"
-version = "3.9.15"
+version = "3.10.6"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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-numpy = {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""}
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 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
-tzdata = ">=2022.1"
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 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
-xml = ["lxml (>=4.8.0)"]
+xml = ["lxml (>=4.9.2)"]
 
 [[package]]
 name = "pathspec"
@@ -4147,28 +4080,29 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.1.0"
-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "4.2.2"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
+docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
+type = ["mypy (>=1.8)"]
 
 [[package]]
 name = "pluggy"
-version = "1.3.0"
+version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -4177,13 +4111,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "portalocker"
-version = "2.8.2"
+version = "2.10.1"
 description = "Wraps the portalocker recipe for easy usage"
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "portalocker-2.10.1-py3-none-any.whl", hash = "sha256:53a5984ebc86a025552264b459b46a2086e269b21823cb572f8f28ee759e45bf"},
+    {file = "portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f"},
 ]
 
 [package.dependencies]
@@ -4196,13 +4130,13 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
 
 [[package]]
 name = "posthog"
-version = "3.1.0"
+version = "3.5.0"
 description = "Integrate PostHog into any python application."
 optional = true
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -4254,22 +4188,22 @@ testing = ["google-api-core (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
-version = "4.25.1"
+version = "4.25.4"
 description = ""
 optional = true
 python-versions = ">=3.8"
 files = [
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 [[package]]
 name = "pydantic-settings"
-version = "2.1.0"
+version = "2.3.4"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic_settings-2.1.0-py3-none-any.whl", hash = "sha256:7621c0cb5d90d1140d2f0ef557bdf03573aac7035948109adf2574770b77605a"},
-    {file = "pydantic_settings-2.1.0.tar.gz", hash = "sha256:26b1492e0a24755626ac5e6d715e9077ab7ad4fb5f19a8b7ed7011d52f36141c"},
+    {file = "pydantic_settings-2.3.4-py3-none-any.whl", hash = "sha256:11ad8bacb68a045f00e4f862c7a718c8a9ec766aa8fd4c32e39a0594b207b53a"},
+    {file = "pydantic_settings-2.3.4.tar.gz", hash = "sha256:c5802e3d62b78e82522319bbc9b8f8ffb28ad1c988a99311d04f2a6051fca0a7"},
 ]
 
 [package.dependencies]
-pydantic = ">=2.3.0"
+pydantic = ">=2.7.0"
 python-dotenv = ">=0.21.0"
 
+[package.extras]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
+
 [[package]]
 name = "pydub"
 version = "0.25.1"
@@ -4617,17 +4497,16 @@ files = [
 
 [[package]]
 name = "pygments"
-version = "2.17.2"
+version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"},
-    {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"},
+    {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
+    {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
 ]
 
 [package.extras]
-plugins = ["importlib-metadata"]
 windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
@@ -4677,13 +4556,13 @@ model = ["milvus-model (>=0.1.0)"]
 
 [[package]]
 name = "pyparsing"
-version = "3.1.1"
+version = "3.1.2"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = true
 python-versions = ">=3.6.8"
 files = [
-    {file = "pyparsing-3.1.1-py3-none-any.whl", hash = "sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb"},
-    {file = "pyparsing-3.1.1.tar.gz", hash = "sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db"},
+    {file = "pyparsing-3.1.2-py3-none-any.whl", hash = "sha256:f9db75911801ed778fe61bb643079ff86601aca99fcae6345aa67292038fb742"},
+    {file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"},
 ]
 
 [package.extras]
@@ -4691,13 +4570,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "4.0.2"
+version = "4.3.1"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.6"
 files = [
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+    {file = "pypdf-4.3.1-py3-none-any.whl", hash = "sha256:64b31da97eda0771ef22edb1bfecd5deee4b72c3d1736b7df2689805076d6418"},
+    {file = "pypdf-4.3.1.tar.gz", hash = "sha256:b2f37fe9a3030aa97ca86067a56ba3f9d3565f9a791b305c7355d8392c30d91b"},
 ]
 
 [package.extras]
@@ -4719,13 +4598,13 @@ files = [
 
 [[package]]
 name = "pyproject-hooks"
-version = "1.0.0"
+version = "1.1.0"
 description = "Wrappers to call pyproject.toml-based build backend hooks."
 optional = true
 python-versions = ">=3.7"
 files = [
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+    {file = "pyproject_hooks-1.1.0-py3-none-any.whl", hash = "sha256:7ceeefe9aec63a1064c18d939bdc3adf2d8aa1988a510afec15151578b232aa2"},
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 ]
 
 [[package]]
@@ -4741,13 +4620,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "7.4.3"
+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
 ]
 
 [package.dependencies]
@@ -4761,13 +4640,13 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.21.1"
+version = "0.21.2"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
 ]
 
 [package.dependencies]
@@ -4797,13 +4676,13 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale
 
 [[package]]
 name = "python-dateutil"
-version = "2.8.2"
+version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -4811,13 +4690,13 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.0"
+version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -4839,13 +4718,13 @@ dev = ["atomicwrites (==1.4.1)", "attrs (==23.2.0)", "coverage (==7.4.1)", "hatc
 
 [[package]]
 name = "pytz"
-version = "2023.3.post1"
+version = "2024.1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
 ]
 
 [[package]]
@@ -4933,13 +4812,13 @@ files = [
 
 [[package]]
 name = "qdrant-client"
-version = "1.10.0"
+version = "1.10.1"
 description = "Client library for the Qdrant vector search engine"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4955,127 +4834,103 @@ urllib3 = ">=1.26.14,<3"
 fastembed = ["fastembed (==0.2.7)"]
 fastembed-gpu = ["fastembed-gpu (==0.2.7)"]
 
-[[package]]
-name = "referencing"
-version = "0.32.0"
-description = "JSON Referencing + Python"
-optional = true
-python-versions = ">=3.8"
-files = [
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-
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-attrs = ">=22.2.0"
-rpds-py = ">=0.7.0"
-
 [[package]]
 name = "regex"
-version = "2023.10.3"
+version = "2024.7.24"
 description = "Alternative regular expression module, to replace re."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 description = "Python HTTP for Humans."
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-python-versions = ">=3.7"
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 [package.dependencies]
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 [[package]]
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 [[package]]
 name = "rich"
-version = "13.7.0"
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 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
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 [package.extras]
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 [[package]]
 name = "semantic-version"
@@ -5534,19 +5288,19 @@ train = ["accelerate (>=0.20.3)", "datasets"]
 
 [[package]]
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 [[package]]
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@@ -5572,13 +5326,13 @@ files = [
 
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 [[package]]
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 typing-extensions = ">=4.6.0"
 
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-description = "Intel® oneAPI Threading Building Blocks (oneTBB)"
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 [package.extras]
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 [package.dependencies]
@@ -5939,57 +5684,45 @@ files = [
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-python-versions = ">=3.5"
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-]
-
 [[package]]
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 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = "*"
 jinja2 = "*"
-mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""}
 networkx = "*"
 nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
@@ -5997,22 +5730,22 @@ nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"
 nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.9.1)"]
+optree = ["optree (>=0.11.0)"]
 
 [[package]]
 name = "tqdm"
-version = "4.66.1"
+version = "4.66.4"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
+    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
 ]
 
 [package.dependencies]
@@ -6026,19 +5759,19 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.42.3"
+version = "4.43.3"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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-    {file = "transformers-4.42.3.tar.gz", hash = "sha256:7539873ff45809145265cbc94ea4619d2713c41ceaa277b692d8b0be3430f7eb"},
+    {file = "transformers-4.43.3-py3-none-any.whl", hash = "sha256:6552beada5d826c25ff9b79139d237ab9050c6ea96b73d7fd2f8a8ba23ee76a4"},
+    {file = "transformers-4.43.3.tar.gz", hash = "sha256:820c5b192bb1bf47250802901a8f0bf581e06b8fded89179d4ef08a1e903ee1c"},
 ]
 
 [package.dependencies]
 filelock = "*"
 huggingface-hub = ">=0.23.2,<1.0"
-numpy = ">=1.17,<2.0"
+numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = "!=2019.12.17"
@@ -6050,14 +5783,14 @@ tqdm = ">=4.27"
 [package.extras]
 accelerate = ["accelerate (>=0.21.0)"]
 agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
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+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 benchmark = ["optimum-benchmark (>=0.2.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
 deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
 deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
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 [[package]]
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 [[package]]
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+version = "0.30.3"
 description = "The lightning-fast ASGI server."
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 python-versions = ">=3.8"
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 [package.dependencies]
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 [[package]]
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 [[package]]
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 test = ["websockets"]
 
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 ]
 
 [package.dependencies]
diff --git a/private_gpt/components/llm/prompt_helper.py b/private_gpt/components/llm/prompt_helper.py
index b550020..0432e49 100644
--- a/private_gpt/components/llm/prompt_helper.py
+++ b/private_gpt/components/llm/prompt_helper.py
@@ -169,7 +169,7 @@ class Llama3PromptStyle(AbstractPromptStyle):
     """
 
     def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
-        prompt = self.BOS
+        prompt = ""
         has_system_message = False
 
         for i, message in enumerate(messages):
@@ -189,8 +189,7 @@ class Llama3PromptStyle(AbstractPromptStyle):
         # Add default system prompt if no system message was provided
         if not has_system_message:
             prompt = (
-                f"{self.BOS}{self.B_SYS}\n\n{self.DEFAULT_SYSTEM_PROMPT}{self.E_SYS}"
-                + prompt[len(self.BOS) :]
+                f"{self.B_SYS}\n\n{self.DEFAULT_SYSTEM_PROMPT}{self.E_SYS}" + prompt
             )
 
         # TODO: Implement tool handling logic
@@ -199,7 +198,7 @@ class Llama3PromptStyle(AbstractPromptStyle):
 
     def _completion_to_prompt(self, completion: str) -> str:
         return (
-            f"{self.BOS}{self.B_SYS}\n\n{self.DEFAULT_SYSTEM_PROMPT}{self.E_SYS}"
+            f"{self.B_SYS}\n\n{self.DEFAULT_SYSTEM_PROMPT}{self.E_SYS}"
             f"{self.B_INST}user{self.E_INST}\n\n{completion.strip()}{self.EOT}"
             f"{self.ASSISTANT_INST}\n\n"
         )
diff --git a/private_gpt/launcher.py b/private_gpt/launcher.py
index 43bd803..2245d56 100644
--- a/private_gpt/launcher.py
+++ b/private_gpt/launcher.py
@@ -37,7 +37,8 @@ def create_app(root_injector: Injector) -> FastAPI:
 
     # Add LlamaIndex simple observability
     global_handler = create_global_handler("simple")
-    LlamaIndexSettings.callback_manager = CallbackManager([global_handler])
+    if global_handler is not None:
+        LlamaIndexSettings.callback_manager = CallbackManager([global_handler])
 
     settings = root_injector.get(Settings)
     if settings.server.cors.enabled:
diff --git a/settings-docker.yaml b/settings-docker.yaml
index 59d5f16..660d212 100644
--- a/settings-docker.yaml
+++ b/settings-docker.yaml
@@ -9,8 +9,8 @@ embedding:
   mode: ${PGPT_EMBED_MODE:mock}
 
 llamacpp:
-  llm_hf_repo_id: ${PGPT_HF_REPO_ID:TheBloke/Mistral-7B-Instruct-v0.1-GGUF}
-  llm_hf_model_file: ${PGPT_HF_MODEL_FILE:mistral-7b-instruct-v0.1.Q4_K_M.gguf}
+  llm_hf_repo_id: ${PGPT_HF_REPO_ID:lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF}
+  llm_hf_model_file: ${PGPT_HF_MODEL_FILE:Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf}
 
 huggingface:
   embedding_hf_model_name: ${PGPT_EMBEDDING_HF_MODEL_NAME:BAAI/bge-small-en-v1.5}
@@ -20,7 +20,7 @@ sagemaker:
   embedding_endpoint_name: ${PGPT_SAGEMAKER_EMBEDDING_ENDPOINT_NAME:}
 
 ollama:
-  llm_model: ${PGPT_OLLAMA_LLM_MODEL:mistral}
+  llm_model: ${PGPT_OLLAMA_LLM_MODEL:llama3.1}
   embedding_model: ${PGPT_OLLAMA_EMBEDDING_MODEL:nomic-embed-text}
   api_base: ${PGPT_OLLAMA_API_BASE:http://ollama:11434}
   embedding_api_base: ${PGPT_OLLAMA_EMBEDDING_API_BASE:http://ollama:11434}
diff --git a/settings-local.yaml b/settings-local.yaml
index 48eeb0e..596d7bc 100644
--- a/settings-local.yaml
+++ b/settings-local.yaml
@@ -7,12 +7,12 @@ llm:
   # Should be matching the selected model
   max_new_tokens: 512
   context_window: 3900
-  tokenizer: mistralai/Mistral-7B-Instruct-v0.2
-  prompt_style: "mistral"
+  tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct
+  prompt_style: "llama3"
 
 llamacpp:
-  llm_hf_repo_id: TheBloke/Mistral-7B-Instruct-v0.2-GGUF
-  llm_hf_model_file: mistral-7b-instruct-v0.2.Q4_K_M.gguf
+  llm_hf_repo_id: lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF
+  llm_hf_model_file: Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf
 
 embedding:
   mode: huggingface
diff --git a/settings-ollama-pg.yaml b/settings-ollama-pg.yaml
index b979824..e2104f1 100644
--- a/settings-ollama-pg.yaml
+++ b/settings-ollama-pg.yaml
@@ -14,7 +14,7 @@ embedding:
   embed_dim: 768
 
 ollama:
-  llm_model: mistral
+  llm_model: llama3.1
   embedding_model: nomic-embed-text
   api_base: http://localhost:11434
 
diff --git a/settings-ollama.yaml b/settings-ollama.yaml
index 13663dc..87d98a6 100644
--- a/settings-ollama.yaml
+++ b/settings-ollama.yaml
@@ -11,7 +11,7 @@ embedding:
   mode: ollama
 
 ollama:
-  llm_model: mistral
+  llm_model: llama3.1
   embedding_model: nomic-embed-text
   api_base: http://localhost:11434
   embedding_api_base: http://localhost:11434  # change if your embedding model runs on another ollama
diff --git a/settings-vllm.yaml b/settings-vllm.yaml
index 1bfab6b..db4ef75 100644
--- a/settings-vllm.yaml
+++ b/settings-vllm.yaml
@@ -4,7 +4,7 @@ server:
 llm:
   mode: openailike
   max_new_tokens: 512
-  tokenizer: mistralai/Mistral-7B-Instruct-v0.2
+  tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct
   temperature: 0.1
 
 embedding:
diff --git a/settings.yaml b/settings.yaml
index 6f936dd..7bd9a07 100644
--- a/settings.yaml
+++ b/settings.yaml
@@ -39,12 +39,12 @@ ui:
 
 llm:
   mode: llamacpp
-  prompt_style: "mistral"
+  prompt_style: "llama3"
   # Should be matching the selected model
   max_new_tokens: 512
   context_window: 3900
   # Select your tokenizer. Llama-index tokenizer is the default.
-  # tokenizer: mistralai/Mistral-7B-Instruct-v0.2
+  # tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct
   temperature: 0.1      # The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual. (Default: 0.1)
 
 rag:
@@ -65,8 +65,8 @@ clickhouse:
     database: embeddings
 
 llamacpp:
-  llm_hf_repo_id: TheBloke/Mistral-7B-Instruct-v0.2-GGUF
-  llm_hf_model_file: mistral-7b-instruct-v0.2.Q4_K_M.gguf
+  llm_hf_repo_id: lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF
+  llm_hf_model_file: Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf
   tfs_z: 1.0            # Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting
   top_k: 40             # Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40)
   top_p: 1.0            # Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9)
@@ -114,7 +114,7 @@ openai:
   embedding_api_key: ${OPENAI_API_KEY:}
 
 ollama:
-  llm_model: llama2
+  llm_model: llama3.1
   embedding_model: nomic-embed-text
   api_base: http://localhost:11434
   embedding_api_base: http://localhost:11434  # change if your embedding model runs on another ollama
diff --git a/tests/test_prompt_helper.py b/tests/test_prompt_helper.py
index ad9349c..c0653e2 100644
--- a/tests/test_prompt_helper.py
+++ b/tests/test_prompt_helper.py
@@ -150,7 +150,7 @@ def test_llama3_prompt_style_format():
     ]
 
     expected_prompt = (
-        "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n"
+        "<|start_header_id|>system<|end_header_id|>\n\n"
         "You are a helpful assistant<|eot_id|>"
         "<|start_header_id|>user<|end_header_id|>\n\n"
         "Hello, how are you doing?<|eot_id|>"
@@ -166,7 +166,7 @@ def test_llama3_prompt_style_with_default_system():
         ChatMessage(content="Hello!", role=MessageRole.USER),
     ]
     expected = (
-        "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n"
+        "<|start_header_id|>system<|end_header_id|>\n\n"
         f"{prompt_style.DEFAULT_SYSTEM_PROMPT}<|eot_id|>"
         "<|start_header_id|>user<|end_header_id|>\n\nHello!<|eot_id|>"
         "<|start_header_id|>assistant<|end_header_id|>\n\n"
@@ -185,7 +185,7 @@ def test_llama3_prompt_style_with_assistant_response():
     ]
 
     expected_prompt = (
-        "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n"
+        "<|start_header_id|>system<|end_header_id|>\n\n"
         "You are a helpful assistant<|eot_id|>"
         "<|start_header_id|>user<|end_header_id|>\n\n"
         "What is the capital of France?<|eot_id|>"

From 40638a18a5713d60fec8fe52796dcce66d88258c Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Wed, 31 Jul 2024 14:35:46 +0200
Subject: [PATCH 06/33] fix: unify embedding models (#2027)

* feat: unify embedding model to nomic

* docs: add embedding dimensions mismatch

* docs: fix fern
---
 .../pages/installation/troubleshooting.mdx    | 20 ++++++++++++++++++-
 settings-docker.yaml                          |  2 +-
 settings-local.yaml                           |  2 +-
 settings-vllm.yaml                            |  2 +-
 settings.yaml                                 |  4 ++--
 5 files changed, 24 insertions(+), 6 deletions(-)

diff --git a/fern/docs/pages/installation/troubleshooting.mdx b/fern/docs/pages/installation/troubleshooting.mdx
index 50d87de..dc99d6c 100644
--- a/fern/docs/pages/installation/troubleshooting.mdx
+++ b/fern/docs/pages/installation/troubleshooting.mdx
@@ -28,4 +28,22 @@ PrivateGPT uses the `AutoTokenizer` library to tokenize input text accurately. I
    ```
 2. **Set Access Token for Gated Models:**
    If you are using a gated model, ensure the `access_token` is set as mentioned in the previous section.
-This configuration ensures that PrivateGPT can download and use the correct tokenizer for the model you are working with.
\ No newline at end of file
+This configuration ensures that PrivateGPT can download and use the correct tokenizer for the model you are working with.
+
+# Embedding dimensions mismatch
+If you encounter an error message like `Embedding dimensions mismatch`, it is likely due to the embedding model and
+current vector dimension mismatch. To resolve this issue, ensure that the model and the input data have the same vector dimensions.
+
+By default, PrivateGPT uses `nomic-embed-text` embeddings, which have a vector dimension of 768.
+If you are using a different embedding model, ensure that the vector dimensions match the model's output.
+
+<Callout intent = "warning">
+In versions below to 0.6.0, the default embedding model was `BAAI/bge-small-en-v1.5` in `huggingface` setup.
+If you plan to reuse the old generated embeddings, you need to update the `settings.yaml` file to use the correct embedding model:
+```yaml
+huggingface:
+  embedding_hf_model_name: BAAI/bge-small-en-v1.5
+embedding:
+  embed_dim: 384
+```
+</Callout>
\ No newline at end of file
diff --git a/settings-docker.yaml b/settings-docker.yaml
index 660d212..e0dbed0 100644
--- a/settings-docker.yaml
+++ b/settings-docker.yaml
@@ -13,7 +13,7 @@ llamacpp:
   llm_hf_model_file: ${PGPT_HF_MODEL_FILE:Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf}
 
 huggingface:
-  embedding_hf_model_name: ${PGPT_EMBEDDING_HF_MODEL_NAME:BAAI/bge-small-en-v1.5}
+  embedding_hf_model_name: ${PGPT_EMBEDDING_HF_MODEL_NAME:nomic-ai/nomic-embed-text-v1.5}
 
 sagemaker:
   llm_endpoint_name: ${PGPT_SAGEMAKER_LLM_ENDPOINT_NAME:}
diff --git a/settings-local.yaml b/settings-local.yaml
index 596d7bc..b418ebc 100644
--- a/settings-local.yaml
+++ b/settings-local.yaml
@@ -18,7 +18,7 @@ embedding:
   mode: huggingface
 
 huggingface:
-  embedding_hf_model_name: BAAI/bge-small-en-v1.5
+  embedding_hf_model_name: nomic-ai/nomic-embed-text-v1.5
 
 vectorstore:
   database: qdrant
diff --git a/settings-vllm.yaml b/settings-vllm.yaml
index db4ef75..a8b1cf9 100644
--- a/settings-vllm.yaml
+++ b/settings-vllm.yaml
@@ -12,7 +12,7 @@ embedding:
   ingest_mode: simple
 
 huggingface:
-  embedding_hf_model_name: BAAI/bge-small-en-v1.5
+  embedding_hf_model_name: nomic-ai/nomic-embed-text-v1.5
 
 openai:
   api_base: http://localhost:8000/v1
diff --git a/settings.yaml b/settings.yaml
index 7bd9a07..2c68bd6 100644
--- a/settings.yaml
+++ b/settings.yaml
@@ -76,10 +76,10 @@ embedding:
   # Should be matching the value above in most cases
   mode: huggingface
   ingest_mode: simple
-  embed_dim: 384 # 384 is for BAAI/bge-small-en-v1.5
+  embed_dim: 768 # 768 is for nomic-ai/nomic-embed-text-v1.5
 
 huggingface:
-  embedding_hf_model_name: BAAI/bge-small-en-v1.5
+  embedding_hf_model_name: nomic-ai/nomic-embed-text-v1.5
   access_token: ${HF_TOKEN:}
 
 vectorstore:

From 8119842ae6f1f5ecfaf42b06fa0d1ffec675def4 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Wed, 31 Jul 2024 16:53:27 +0200
Subject: [PATCH 07/33] feat(recipe): add our first recipe  `Summarize` (#2028)

* feat: add summary recipe

* test: add summary tests

* docs: move all recipes docs

* docs: add recipes and summarize doc

* docs: update openapi reference

* refactor: split method in two method (summary)

* feat: add initial summarize ui

* feat: add mode explanation

* fix: mypy

* feat: allow to configure async property in summarize

* refactor: move modes to enum and update mode explanations

* docs: fix url

* docs: remove list-llm pages

* docs: remove double header

* fix: summary description
---
 fern/docs.yml                                 |  12 +-
 fern/docs/pages/recipes/list-llm.mdx          | 122 -------------
 fern/docs/pages/recipes/quickstart.mdx        |  23 +++
 fern/docs/pages/recipes/summarize.mdx         |  20 ++
 fern/openapi/openapi.json                     | 158 ++++++++++++++++
 private_gpt/launcher.py                       |   4 +-
 .../server/recipes/summarize/__init__.py      |   0
 .../recipes/summarize/summarize_router.py     |  86 +++++++++
 .../recipes/summarize/summarize_service.py    | 172 ++++++++++++++++++
 private_gpt/settings/settings.py              |  12 ++
 private_gpt/ui/ui.py                          | 113 ++++++++++--
 settings.yaml                                 |  10 +
 tests/server/recipes/test_summarize_router.py | 159 ++++++++++++++++
 13 files changed, 743 insertions(+), 148 deletions(-)
 delete mode 100644 fern/docs/pages/recipes/list-llm.mdx
 create mode 100644 fern/docs/pages/recipes/quickstart.mdx
 create mode 100644 fern/docs/pages/recipes/summarize.mdx
 create mode 100644 private_gpt/server/recipes/summarize/__init__.py
 create mode 100644 private_gpt/server/recipes/summarize/summarize_router.py
 create mode 100644 private_gpt/server/recipes/summarize/summarize_service.py
 create mode 100644 tests/server/recipes/test_summarize_router.py

diff --git a/fern/docs.yml b/fern/docs.yml
index 9dae934..e0a5c42 100644
--- a/fern/docs.yml
+++ b/fern/docs.yml
@@ -74,14 +74,16 @@ navigation:
             path: ./docs/pages/ui/gradio.mdx
           - page: Alternatives
             path: ./docs/pages/ui/alternatives.mdx
-  # Small code snippet or example of usage to help users
   - tab: recipes
     layout:
-      - section: Choice of LLM
+      - section: Getting started
         contents:
-          # TODO: add recipes
-          - page: List of LLMs
-            path: ./docs/pages/recipes/list-llm.mdx
+          - page: Quickstart
+            path: ./docs/pages/recipes/quickstart.mdx
+      - section: General use cases
+        contents:
+          - page: Summarize
+            path: ./docs/pages/recipes/summarize.mdx
   # More advanced usage of PrivateGPT, by API
   - tab: api-reference
     layout:
diff --git a/fern/docs/pages/recipes/list-llm.mdx b/fern/docs/pages/recipes/list-llm.mdx
deleted file mode 100644
index 103867a..0000000
--- a/fern/docs/pages/recipes/list-llm.mdx
+++ /dev/null
@@ -1,122 +0,0 @@
-# List of working LLM
-
-**Do you have any working combination of LLM and embeddings?**
-
-Please open a PR to add it to the list, and come on our Discord to tell us about it!
-
-## Prompt style
-
-LLMs might have been trained with different prompt styles.
-The prompt style is the way the prompt is written, and how the system message is injected in the prompt.
-
-For example, `llama2` looks like this:
-```text
-<s>[INST] <<SYS>>
-{{ system_prompt }}
-<</SYS>>
-
-{{ user_message }} [/INST]
-```
-
-While `default` (the `llama_index` default) looks like this:
-```text
-system: {{ system_prompt }}
-user: {{ user_message }}
-assistant: {{ assistant_message }}
-```
-
-The "`tag`" style looks like this:
-
-```text
-<|system|>: {{ system_prompt }}
-<|user|>: {{ user_message }}
-<|assistant|>: {{ assistant_message }}
-```
-
-The "`mistral`" style looks like this: 
-
-```text 
-<s>[INST] You are an AI assistant. [/INST]</s>[INST] Hello, how are you doing? [/INST]
-```
-
-The "`chatml`" style looks like this: 
-```text
-<|im_start|>system
-{{ system_prompt }}<|im_end|>
-<|im_start|>user"
-{{ user_message }}<|im_end|>
-<|im_start|>assistant
-{{ assistant_message }}
-```
-
-Some LLMs will not understand these prompt styles, and will not work (returning nothing).
-You can try to change the prompt style to `default` (or `tag`) in the settings, and it will
-change the way the messages are formatted to be passed to the LLM.
-
-## Example of configuration
-
-You might want to change the prompt depending on the language and model you are using.
-
-### English, with instructions
-
-`settings-en.yaml`:
-```yml
-local:
-  llm_hf_repo_id: TheBloke/Mistral-7B-Instruct-v0.1-GGUF
-  llm_hf_model_file: mistral-7b-instruct-v0.1.Q4_K_M.gguf
-  embedding_hf_model_name: BAAI/bge-small-en-v1.5
-  prompt_style: "llama2"
-```
-
-### French, with instructions
-
-`settings-fr.yaml`:
-```yml
-local:
-  llm_hf_repo_id: TheBloke/Vigogne-2-7B-Instruct-GGUF
-  llm_hf_model_file: vigogne-2-7b-instruct.Q4_K_M.gguf
-  embedding_hf_model_name: dangvantuan/sentence-camembert-base
-  prompt_style: "default"
-  # prompt_style: "tag" # also works
-  # The default system prompt is injected only when the `prompt_style` != default, and there are no system message in the discussion
-  # default_system_prompt: Vous êtes un assistant IA qui répond à la question posée à la fin en utilisant le contexte suivant. Si vous ne connaissez pas la réponse, dites simplement que vous ne savez pas, n'essayez pas d'inventer une réponse. Veuillez répondre exclusivement en français.
-```
-
-You might want to change the prompt as the one above might not directly answer your question.
-You can read online about how to write a good prompt, but in a nutshell, make it (extremely) directive.
-
-You can try and troubleshot your prompt by writing multiline requests in the UI, while
-writing your interaction with the model, for example:
-
-```text
-Tu es un programmeur senior qui programme en python et utilise le framework fastapi. Ecrit moi un serveur qui retourne "hello world".
-```
-
-Another example:
-```text
-Context: None
-Situation: tu es au milieu d'un champ.
-Tache: va a la rivière, en bas du champ.
-Décrit comment aller a la rivière.
-```
-
-### Optimised Models
-GodziLLa2-70B LLM (English, rank 2 on HuggingFace OpenLLM Leaderboard), bge large Embedding Model (rank 1 on HuggingFace MTEB Leaderboard)
-`settings-optimised.yaml`:
-```yml
-local:
-  llm_hf_repo_id: TheBloke/GodziLLa2-70B-GGUF
-  llm_hf_model_file: godzilla2-70b.Q4_K_M.gguf
-  embedding_hf_model_name: BAAI/bge-large-en
-  prompt_style: "llama2"
-```
-### German speaking model
-`settings-de.yaml`:
-```yml
-local:
-  llm_hf_repo_id: TheBloke/em_german_leo_mistral-GGUF
-  llm_hf_model_file:   em_german_leo_mistral.Q4_K_M.gguf
-  embedding_hf_model_name: T-Systems-onsite/german-roberta-sentence-transformer-v2
-  #llama, default or tag
-  prompt_style: "default"
-```
diff --git a/fern/docs/pages/recipes/quickstart.mdx b/fern/docs/pages/recipes/quickstart.mdx
new file mode 100644
index 0000000..a0f6c87
--- /dev/null
+++ b/fern/docs/pages/recipes/quickstart.mdx
@@ -0,0 +1,23 @@
+# Recipes
+
+Recipes are predefined use cases that help users solve very specific tasks using PrivateGPT.
+They provide a streamlined approach to achieve common goals with the platform, offering both a starting point and inspiration for further exploration.
+The main goal of Recipes is to empower the community to create and share solutions, expanding the capabilities of PrivateGPT.
+
+## How to Create a New Recipe
+
+1. **Identify the Task**: Define a specific task or problem that the Recipe will address.
+2. **Develop the Solution**: Create a clear and concise guide, including any necessary code snippets or configurations.
+3. **Submit a PR**: Fork the PrivateGPT repository, add your Recipe to the appropriate section, and submit a PR for review.
+
+We encourage you to be creative and think outside the box! Your contributions help shape the future of PrivateGPT.
+
+## Available Recipes
+
+<Cards>
+  <Card
+    title="Summarize"
+    icon="fa-solid fa-file-alt"
+    href="/recipes/general-use-cases/summarize"
+  />
+</Cards>
diff --git a/fern/docs/pages/recipes/summarize.mdx b/fern/docs/pages/recipes/summarize.mdx
new file mode 100644
index 0000000..99594bf
--- /dev/null
+++ b/fern/docs/pages/recipes/summarize.mdx
@@ -0,0 +1,20 @@
+The Summarize Recipe provides a method to extract concise summaries from ingested documents or texts using PrivateGPT.
+This tool is particularly useful for quickly understanding large volumes of information by distilling key points and main ideas.
+
+## Use Case
+
+The primary use case for the `Summarize` tool is to automate the summarization of lengthy documents,
+making it easier for users to grasp the essential information without reading through entire texts.
+This can be applied in various scenarios, such as summarizing research papers, news articles, or business reports.
+
+## Key Features
+
+1. **Ingestion-compatible**: The user provides the text to be summarized. The text can be directly inputted or retrieved from ingested documents within the system.
+2. **Customization**: The summary generation can be influenced by providing specific `instructions` or a `prompt`. These inputs guide the model on how to frame the summary, allowing for customization according to user needs.
+3. **Streaming Support**: The tool supports streaming, allowing for real-time summary generation, which can be particularly useful for handling large texts or providing immediate feedback.
+
+## Contributing
+
+If you have ideas for improving the Summarize or want to add new features, feel free to contribute!
+You can submit your enhancements via a pull request on our [GitHub repository](https://github.com/zylon-ai/private-gpt).
+
diff --git a/fern/openapi/openapi.json b/fern/openapi/openapi.json
index af1646f..c17c4d1 100644
--- a/fern/openapi/openapi.json
+++ b/fern/openapi/openapi.json
@@ -339,6 +339,48 @@
         }
       }
     },
+    "/v1/summarize": {
+      "post": {
+        "tags": [
+          "Recipes"
+        ],
+        "summary": "Summarize",
+        "description": "Given a text, the model will return a summary.\n\nOptionally include `instructions` to influence the way the summary is generated.\n\nIf `use_context`\nis set to `true`, the model will also use the content coming from the ingested\ndocuments in the summary. The documents being used can\nbe filtered by their metadata using the `context_filter`.\nIngested documents metadata can be found using `/ingest/list` endpoint.\nIf you want all ingested documents to be used, remove `context_filter` altogether.\n\nIf `prompt` is set, it will be used as the prompt for the summarization,\notherwise the default prompt will be used.\n\nWhen using `'stream': true`, the API will return data chunks following [OpenAI's\nstreaming model](https://platform.openai.com/docs/api-reference/chat/streaming):\n```\n{\"id\":\"12345\",\"object\":\"completion.chunk\",\"created\":1694268190,\n\"model\":\"private-gpt\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"Hello\"},\n\"finish_reason\":null}]}\n```",
+        "operationId": "summarize_v1_summarize_post",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/SummarizeBody"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/SummarizeResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/HTTPValidationError"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
     "/v1/embeddings": {
       "post": {
         "tags": [
@@ -500,6 +542,10 @@
       "Chunk": {
         "properties": {
           "object": {
+            "type": "string",
+            "enum": [
+              "context.chunk"
+            ],
             "const": "context.chunk",
             "title": "Object"
           },
@@ -612,10 +658,18 @@
       "ChunksResponse": {
         "properties": {
           "object": {
+            "type": "string",
+            "enum": [
+              "list"
+            ],
             "const": "list",
             "title": "Object"
           },
           "model": {
+            "type": "string",
+            "enum": [
+              "private-gpt"
+            ],
             "const": "private-gpt",
             "title": "Model"
           },
@@ -728,6 +782,10 @@
             "title": "Index"
           },
           "object": {
+            "type": "string",
+            "enum": [
+              "embedding"
+            ],
             "const": "embedding",
             "title": "Object"
           },
@@ -779,10 +837,18 @@
       "EmbeddingsResponse": {
         "properties": {
           "object": {
+            "type": "string",
+            "enum": [
+              "list"
+            ],
             "const": "list",
             "title": "Object"
           },
           "model": {
+            "type": "string",
+            "enum": [
+              "private-gpt"
+            ],
             "const": "private-gpt",
             "title": "Model"
           },
@@ -818,6 +884,10 @@
       "HealthResponse": {
         "properties": {
           "status": {
+            "type": "string",
+            "enum": [
+              "ok"
+            ],
             "const": "ok",
             "title": "Status",
             "default": "ok"
@@ -829,10 +899,18 @@
       "IngestResponse": {
         "properties": {
           "object": {
+            "type": "string",
+            "enum": [
+              "list"
+            ],
             "const": "list",
             "title": "Object"
           },
           "model": {
+            "type": "string",
+            "enum": [
+              "private-gpt"
+            ],
             "const": "private-gpt",
             "title": "Model"
           },
@@ -879,6 +957,10 @@
       "IngestedDoc": {
         "properties": {
           "object": {
+            "type": "string",
+            "enum": [
+              "ingest.document"
+            ],
             "const": "ingest.document",
             "title": "Object"
           },
@@ -1001,6 +1083,10 @@
             ]
           },
           "model": {
+            "type": "string",
+            "enum": [
+              "private-gpt"
+            ],
             "const": "private-gpt",
             "title": "Model"
           },
@@ -1074,6 +1160,78 @@
         "title": "OpenAIMessage",
         "description": "Inference result, with the source of the message.\n\nRole could be the assistant or system\n(providing a default response, not AI generated)."
       },
+      "SummarizeBody": {
+        "properties": {
+          "text": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Text"
+          },
+          "use_context": {
+            "type": "boolean",
+            "title": "Use Context",
+            "default": false
+          },
+          "context_filter": {
+            "anyOf": [
+              {
+                "$ref": "#/components/schemas/ContextFilter"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          },
+          "prompt": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Prompt"
+          },
+          "instructions": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Instructions"
+          },
+          "stream": {
+            "type": "boolean",
+            "title": "Stream",
+            "default": false
+          }
+        },
+        "type": "object",
+        "title": "SummarizeBody"
+      },
+      "SummarizeResponse": {
+        "properties": {
+          "summary": {
+            "type": "string",
+            "title": "Summary"
+          }
+        },
+        "type": "object",
+        "required": [
+          "summary"
+        ],
+        "title": "SummarizeResponse"
+      },
       "ValidationError": {
         "properties": {
           "loc": {
diff --git a/private_gpt/launcher.py b/private_gpt/launcher.py
index 2245d56..968baae 100644
--- a/private_gpt/launcher.py
+++ b/private_gpt/launcher.py
@@ -15,6 +15,7 @@ from private_gpt.server.completions.completions_router import completions_router
 from private_gpt.server.embeddings.embeddings_router import embeddings_router
 from private_gpt.server.health.health_router import health_router
 from private_gpt.server.ingest.ingest_router import ingest_router
+from private_gpt.server.recipes.summarize.summarize_router import summarize_router
 from private_gpt.settings.settings import Settings
 
 logger = logging.getLogger(__name__)
@@ -32,12 +33,13 @@ def create_app(root_injector: Injector) -> FastAPI:
     app.include_router(chat_router)
     app.include_router(chunks_router)
     app.include_router(ingest_router)
+    app.include_router(summarize_router)
     app.include_router(embeddings_router)
     app.include_router(health_router)
 
     # Add LlamaIndex simple observability
     global_handler = create_global_handler("simple")
-    if global_handler is not None:
+    if global_handler:
         LlamaIndexSettings.callback_manager = CallbackManager([global_handler])
 
     settings = root_injector.get(Settings)
diff --git a/private_gpt/server/recipes/summarize/__init__.py b/private_gpt/server/recipes/summarize/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/private_gpt/server/recipes/summarize/summarize_router.py b/private_gpt/server/recipes/summarize/summarize_router.py
new file mode 100644
index 0000000..c1770c3
--- /dev/null
+++ b/private_gpt/server/recipes/summarize/summarize_router.py
@@ -0,0 +1,86 @@
+from fastapi import APIRouter, Depends, Request
+from pydantic import BaseModel
+from starlette.responses import StreamingResponse
+
+from private_gpt.open_ai.extensions.context_filter import ContextFilter
+from private_gpt.open_ai.openai_models import (
+    to_openai_sse_stream,
+)
+from private_gpt.server.recipes.summarize.summarize_service import SummarizeService
+from private_gpt.server.utils.auth import authenticated
+
+summarize_router = APIRouter(prefix="/v1", dependencies=[Depends(authenticated)])
+
+
+class SummarizeBody(BaseModel):
+    text: str | None = None
+    use_context: bool = False
+    context_filter: ContextFilter | None = None
+    prompt: str | None = None
+    instructions: str | None = None
+    stream: bool = False
+
+
+class SummarizeResponse(BaseModel):
+    summary: str
+
+
+@summarize_router.post(
+    "/summarize",
+    response_model=None,
+    summary="Summarize",
+    responses={200: {"model": SummarizeResponse}},
+    tags=["Recipes"],
+)
+def summarize(
+    request: Request, body: SummarizeBody
+) -> SummarizeResponse | StreamingResponse:
+    """Given a text, the model will return a summary.
+
+    Optionally include `instructions` to influence the way the summary is generated.
+
+    If `use_context`
+    is set to `true`, the model will also use the content coming from the ingested
+    documents in the summary. The documents being used can
+    be filtered by their metadata using the `context_filter`.
+    Ingested documents metadata can be found using `/ingest/list` endpoint.
+    If you want all ingested documents to be used, remove `context_filter` altogether.
+
+    If `prompt` is set, it will be used as the prompt for the summarization,
+    otherwise the default prompt will be used.
+
+    When using `'stream': true`, the API will return data chunks following [OpenAI's
+    streaming model](https://platform.openai.com/docs/api-reference/chat/streaming):
+    ```
+    {"id":"12345","object":"completion.chunk","created":1694268190,
+    "model":"private-gpt","choices":[{"index":0,"delta":{"content":"Hello"},
+    "finish_reason":null}]}
+    ```
+    """
+    service: SummarizeService = request.state.injector.get(SummarizeService)
+
+    if body.stream:
+        completion_gen = service.stream_summarize(
+            text=body.text,
+            instructions=body.instructions,
+            use_context=body.use_context,
+            context_filter=body.context_filter,
+            prompt=body.prompt,
+        )
+        return StreamingResponse(
+            to_openai_sse_stream(
+                response_generator=completion_gen,
+            ),
+            media_type="text/event-stream",
+        )
+    else:
+        completion = service.summarize(
+            text=body.text,
+            instructions=body.instructions,
+            use_context=body.use_context,
+            context_filter=body.context_filter,
+            prompt=body.prompt,
+        )
+        return SummarizeResponse(
+            summary=completion,
+        )
diff --git a/private_gpt/server/recipes/summarize/summarize_service.py b/private_gpt/server/recipes/summarize/summarize_service.py
new file mode 100644
index 0000000..4bfd18f
--- /dev/null
+++ b/private_gpt/server/recipes/summarize/summarize_service.py
@@ -0,0 +1,172 @@
+from itertools import chain
+
+from injector import inject, singleton
+from llama_index.core import (
+    Document,
+    StorageContext,
+    SummaryIndex,
+)
+from llama_index.core.base.response.schema import Response, StreamingResponse
+from llama_index.core.node_parser import SentenceSplitter
+from llama_index.core.response_synthesizers import ResponseMode
+from llama_index.core.storage.docstore.types import RefDocInfo
+from llama_index.core.types import TokenGen
+
+from private_gpt.components.embedding.embedding_component import EmbeddingComponent
+from private_gpt.components.llm.llm_component import LLMComponent
+from private_gpt.components.node_store.node_store_component import NodeStoreComponent
+from private_gpt.components.vector_store.vector_store_component import (
+    VectorStoreComponent,
+)
+from private_gpt.open_ai.extensions.context_filter import ContextFilter
+from private_gpt.settings.settings import Settings
+
+DEFAULT_SUMMARIZE_PROMPT = (
+    "Provide a comprehensive summary of the provided context information. "
+    "The summary should cover all the key points and main ideas presented in "
+    "the original text, while also condensing the information into a concise "
+    "and easy-to-understand format. Please ensure that the summary includes "
+    "relevant details and examples that support the main ideas, while avoiding "
+    "any unnecessary information or repetition."
+)
+
+
+@singleton
+class SummarizeService:
+    @inject
+    def __init__(
+        self,
+        settings: Settings,
+        llm_component: LLMComponent,
+        node_store_component: NodeStoreComponent,
+        vector_store_component: VectorStoreComponent,
+        embedding_component: EmbeddingComponent,
+    ) -> None:
+        self.settings = settings
+        self.llm_component = llm_component
+        self.node_store_component = node_store_component
+        self.vector_store_component = vector_store_component
+        self.embedding_component = embedding_component
+        self.storage_context = StorageContext.from_defaults(
+            vector_store=vector_store_component.vector_store,
+            docstore=node_store_component.doc_store,
+            index_store=node_store_component.index_store,
+        )
+
+    @staticmethod
+    def _filter_ref_docs(
+        ref_docs: dict[str, RefDocInfo], context_filter: ContextFilter | None
+    ) -> list[RefDocInfo]:
+        if context_filter is None or not context_filter.docs_ids:
+            return list(ref_docs.values())
+
+        return [
+            ref_doc
+            for doc_id, ref_doc in ref_docs.items()
+            if doc_id in context_filter.docs_ids
+        ]
+
+    def _summarize(
+        self,
+        use_context: bool = False,
+        stream: bool = False,
+        text: str | None = None,
+        instructions: str | None = None,
+        context_filter: ContextFilter | None = None,
+        prompt: str | None = None,
+    ) -> str | TokenGen:
+
+        nodes_to_summarize = []
+
+        # Add text to summarize
+        if text:
+            text_documents = [Document(text=text)]
+            nodes_to_summarize += (
+                SentenceSplitter.from_defaults().get_nodes_from_documents(
+                    text_documents
+                )
+            )
+
+        # Add context documents to summarize
+        if use_context:
+            # 1. Recover all ref docs
+            ref_docs: dict[
+                str, RefDocInfo
+            ] | None = self.storage_context.docstore.get_all_ref_doc_info()
+            if ref_docs is None:
+                raise ValueError("No documents have been ingested yet.")
+
+            # 2. Filter documents based on context_filter (if provided)
+            filtered_ref_docs = self._filter_ref_docs(ref_docs, context_filter)
+
+            # 3. Get all nodes from the filtered documents
+            filtered_node_ids = chain.from_iterable(
+                [ref_doc.node_ids for ref_doc in filtered_ref_docs]
+            )
+            filtered_nodes = self.storage_context.docstore.get_nodes(
+                node_ids=list(filtered_node_ids),
+            )
+
+            nodes_to_summarize += filtered_nodes
+
+        # Create a SummaryIndex to summarize the nodes
+        summary_index = SummaryIndex(
+            nodes=nodes_to_summarize,
+            storage_context=StorageContext.from_defaults(),  # In memory SummaryIndex
+            show_progress=True,
+        )
+
+        # Make a tree summarization query
+        # above the set of all candidate nodes
+        query_engine = summary_index.as_query_engine(
+            llm=self.llm_component.llm,
+            response_mode=ResponseMode.TREE_SUMMARIZE,
+            streaming=stream,
+            use_async=self.settings.summarize.use_async,
+        )
+
+        prompt = prompt or DEFAULT_SUMMARIZE_PROMPT
+
+        summarize_query = prompt + "\n" + (instructions or "")
+
+        response = query_engine.query(summarize_query)
+        if isinstance(response, Response):
+            return response.response or ""
+        elif isinstance(response, StreamingResponse):
+            return response.response_gen
+        else:
+            raise TypeError(f"The result is not of a supported type: {type(response)}")
+
+    def summarize(
+        self,
+        use_context: bool = False,
+        text: str | None = None,
+        instructions: str | None = None,
+        context_filter: ContextFilter | None = None,
+        prompt: str | None = None,
+    ) -> str:
+        return self._summarize(
+            use_context=use_context,
+            stream=False,
+            text=text,
+            instructions=instructions,
+            context_filter=context_filter,
+            prompt=prompt,
+        )  # type: ignore
+
+    def stream_summarize(
+        self,
+        use_context: bool = False,
+        text: str | None = None,
+        instructions: str | None = None,
+        context_filter: ContextFilter | None = None,
+        prompt: str | None = None,
+    ) -> TokenGen:
+        return self._summarize(
+            use_context=use_context,
+            stream=True,
+            text=text,
+            instructions=instructions,
+            context_filter=context_filter,
+            prompt=prompt,
+        )  # type: ignore
diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index 8ed7a5a..c968f80 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -353,6 +353,10 @@ class UISettings(BaseModel):
     default_query_system_prompt: str = Field(
         None, description="The default system prompt to use for the query mode."
     )
+    default_summarization_system_prompt: str = Field(
+        None,
+        description="The default system prompt to use for the summarization mode.",
+    )
     delete_file_button_enabled: bool = Field(
         True, description="If the button to delete a file is enabled or not."
     )
@@ -388,6 +392,13 @@ class RagSettings(BaseModel):
     rerank: RerankSettings
 
 
+class SummarizeSettings(BaseModel):
+    use_async: bool = Field(
+        True,
+        description="If set to True, the summarization will be done asynchronously.",
+    )
+
+
 class ClickHouseSettings(BaseModel):
     host: str = Field(
         "localhost",
@@ -577,6 +588,7 @@ class Settings(BaseModel):
     vectorstore: VectorstoreSettings
     nodestore: NodeStoreSettings
     rag: RagSettings
+    summarize: SummarizeSettings
     qdrant: QdrantSettings | None = None
     postgres: PostgresSettings | None = None
     clickhouse: ClickHouseSettings | None = None
diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py
index d621bd2..0bf06d1 100644
--- a/private_gpt/ui/ui.py
+++ b/private_gpt/ui/ui.py
@@ -3,6 +3,7 @@ import base64
 import logging
 import time
 from collections.abc import Iterable
+from enum import Enum
 from pathlib import Path
 from typing import Any
 
@@ -11,6 +12,7 @@ from fastapi import FastAPI
 from gradio.themes.utils.colors import slate  # type: ignore
 from injector import inject, singleton
 from llama_index.core.llms import ChatMessage, ChatResponse, MessageRole
+from llama_index.core.types import TokenGen
 from pydantic import BaseModel
 
 from private_gpt.constants import PROJECT_ROOT_PATH
@@ -19,6 +21,7 @@ from private_gpt.open_ai.extensions.context_filter import ContextFilter
 from private_gpt.server.chat.chat_service import ChatService, CompletionGen
 from private_gpt.server.chunks.chunks_service import Chunk, ChunksService
 from private_gpt.server.ingest.ingest_service import IngestService
+from private_gpt.server.recipes.summarize.summarize_service import SummarizeService
 from private_gpt.settings.settings import settings
 from private_gpt.ui.images import logo_svg
 
@@ -32,7 +35,20 @@ UI_TAB_TITLE = "My Private GPT"
 
 SOURCES_SEPARATOR = "<hr>Sources: \n"
 
-MODES = ["Query Files", "Search Files", "LLM Chat (no context from files)"]
+
+class Modes(str, Enum):
+    RAG_MODE = "RAG"
+    SEARCH_MODE = "Search"
+    BASIC_CHAT_MODE = "Basic"
+    SUMMARIZE_MODE = "Summarize"
+
+
+MODES: list[Modes] = [
+    Modes.RAG_MODE,
+    Modes.SEARCH_MODE,
+    Modes.BASIC_CHAT_MODE,
+    Modes.SUMMARIZE_MODE,
+]
 
 
 class Source(BaseModel):
@@ -70,10 +86,12 @@ class PrivateGptUi:
         ingest_service: IngestService,
         chat_service: ChatService,
         chunks_service: ChunksService,
+        summarizeService: SummarizeService,
     ) -> None:
         self._ingest_service = ingest_service
         self._chat_service = chat_service
         self._chunks_service = chunks_service
+        self._summarize_service = summarizeService
 
         # Cache the UI blocks
         self._ui_block = None
@@ -84,7 +102,9 @@ class PrivateGptUi:
         self.mode = MODES[0]
         self._system_prompt = self._get_default_system_prompt(self.mode)
 
-    def _chat(self, message: str, history: list[list[str]], mode: str, *_: Any) -> Any:
+    def _chat(
+        self, message: str, history: list[list[str]], mode: Modes, *_: Any
+    ) -> Any:
         def yield_deltas(completion_gen: CompletionGen) -> Iterable[str]:
             full_response: str = ""
             stream = completion_gen.response
@@ -112,6 +132,12 @@ class PrivateGptUi:
                 full_response += sources_text
             yield full_response
 
+        def yield_tokens(token_gen: TokenGen) -> Iterable[str]:
+            full_response: str = ""
+            for token in token_gen:
+                full_response += str(token)
+                yield full_response
+
         def build_history() -> list[ChatMessage]:
             history_messages: list[ChatMessage] = []
 
@@ -143,8 +169,7 @@ class PrivateGptUi:
                 ),
             )
         match mode:
-            case "Query Files":
-
+            case Modes.RAG_MODE:
                 # Use only the selected file for the query
                 context_filter = None
                 if self._selected_filename is not None:
@@ -163,14 +188,14 @@ class PrivateGptUi:
                     context_filter=context_filter,
                 )
                 yield from yield_deltas(query_stream)
-            case "LLM Chat (no context from files)":
+            case Modes.BASIC_CHAT_MODE:
                 llm_stream = self._chat_service.stream_chat(
                     messages=all_messages,
                     use_context=False,
                 )
                 yield from yield_deltas(llm_stream)
 
-            case "Search Files":
+            case Modes.SEARCH_MODE:
                 response = self._chunks_service.retrieve_relevant(
                     text=message, limit=4, prev_next_chunks=0
                 )
@@ -183,37 +208,76 @@ class PrivateGptUi:
                     f"{source.text}"
                     for index, source in enumerate(sources, start=1)
                 )
+            case Modes.SUMMARIZE_MODE:
+                # Summarize the given message, optionally using selected files
+                context_filter = None
+                if self._selected_filename:
+                    docs_ids = []
+                    for ingested_document in self._ingest_service.list_ingested():
+                        if (
+                            ingested_document.doc_metadata["file_name"]
+                            == self._selected_filename
+                        ):
+                            docs_ids.append(ingested_document.doc_id)
+                    context_filter = ContextFilter(docs_ids=docs_ids)
+
+                summary_stream = self._summarize_service.stream_summarize(
+                    use_context=True,
+                    context_filter=context_filter,
+                    instructions=message,
+                )
+                yield from yield_tokens(summary_stream)
 
     # On initialization and on mode change, this function set the system prompt
     # to the default prompt based on the mode (and user settings).
     @staticmethod
-    def _get_default_system_prompt(mode: str) -> str:
+    def _get_default_system_prompt(mode: Modes) -> str:
         p = ""
         match mode:
             # For query chat mode, obtain default system prompt from settings
-            case "Query Files":
+            case Modes.RAG_MODE:
                 p = settings().ui.default_query_system_prompt
             # For chat mode, obtain default system prompt from settings
-            case "LLM Chat (no context from files)":
+            case Modes.BASIC_CHAT_MODE:
                 p = settings().ui.default_chat_system_prompt
+            # For summarization mode, obtain default system prompt from settings
+            case Modes.SUMMARIZE_MODE:
+                p = settings().ui.default_summarization_system_prompt
             # For any other mode, clear the system prompt
             case _:
                 p = ""
         return p
 
+    @staticmethod
+    def _get_default_mode_explanation(mode: Modes) -> str:
+        match mode:
+            case Modes.RAG_MODE:
+                return "Get contextualized answers from selected files."
+            case Modes.SEARCH_MODE:
+                return "Find relevant chunks of text in selected files."
+            case Modes.BASIC_CHAT_MODE:
+                return "Chat with the LLM using its training data. Files are ignored."
+            case Modes.SUMMARIZE_MODE:
+                return "Generate a summary of the selected files. Prompt to customize the result."
+            case _:
+                return ""
+
     def _set_system_prompt(self, system_prompt_input: str) -> None:
         logger.info(f"Setting system prompt to: {system_prompt_input}")
         self._system_prompt = system_prompt_input
 
-    def _set_current_mode(self, mode: str) -> Any:
+    def _set_explanatation_mode(self, explanation_mode: str) -> None:
+        self._explanation_mode = explanation_mode
+
+    def _set_current_mode(self, mode: Modes) -> Any:
         self.mode = mode
         self._set_system_prompt(self._get_default_system_prompt(mode))
-        # Update placeholder and allow interaction if default system prompt is set
-        if self._system_prompt:
-            return gr.update(placeholder=self._system_prompt, interactive=True)
-        # Update placeholder and disable interaction if no default system prompt is set
-        else:
-            return gr.update(placeholder=self._system_prompt, interactive=False)
+        self._set_explanatation_mode(self._get_default_mode_explanation(mode))
+        interactive = self._system_prompt is not None
+        return [
+            gr.update(placeholder=self._system_prompt, interactive=interactive),
+            gr.update(value=self._explanation_mode),
+        ]
 
     def _list_ingested_files(self) -> list[list[str]]:
         files = set()
@@ -326,10 +390,17 @@ class PrivateGptUi:
 
             with gr.Row(equal_height=False):
                 with gr.Column(scale=3):
+                    default_mode = MODES[0]
                     mode = gr.Radio(
-                        MODES,
+                        [mode.value for mode in MODES],
                         label="Mode",
-                        value="Query Files",
+                        value=default_mode,
+                    )
+                    explanation_mode = gr.Textbox(
+                        placeholder=self._get_default_mode_explanation(default_mode),
+                        show_label=False,
+                        max_lines=3,
+                        interactive=False,
                     )
                     upload_button = gr.components.UploadButton(
                         "Upload File(s)",
@@ -413,9 +484,11 @@ class PrivateGptUi:
                         interactive=True,
                         render=False,
                     )
-                    # When mode changes, set default system prompt
+                    # When mode changes, set default system prompt, and other stuffs
                     mode.change(
-                        self._set_current_mode, inputs=mode, outputs=system_prompt_input
+                        self._set_current_mode,
+                        inputs=mode,
+                        outputs=[system_prompt_input, explanation_mode],
                     )
                     # On blur, set system prompt to use in queries
                     system_prompt_input.blur(
diff --git a/settings.yaml b/settings.yaml
index 2c68bd6..a890733 100644
--- a/settings.yaml
+++ b/settings.yaml
@@ -34,6 +34,13 @@ ui:
     You can only answer questions about the provided context. 
     If you know the answer but it is not based in the provided context, don't provide 
     the answer, just state the answer is not in the context provided.
+  default_summarization_system_prompt: >
+    Provide a comprehensive summary of the provided context information. 
+    The summary should cover all the key points and main ideas presented in
+    the original text, while also condensing the information into a concise 
+    and easy-to-understand format. Please ensure that the summary includes
+    relevant details and examples that support the main ideas, while avoiding 
+    any unnecessary information or repetition.
   delete_file_button_enabled: true
   delete_all_files_button_enabled: true
 
@@ -57,6 +64,9 @@ rag:
     model: cross-encoder/ms-marco-MiniLM-L-2-v2
     top_n: 1
 
+summarize:
+  use_async: true
+
 clickhouse:
     host: localhost
     port: 8443
diff --git a/tests/server/recipes/test_summarize_router.py b/tests/server/recipes/test_summarize_router.py
new file mode 100644
index 0000000..8b647b0
--- /dev/null
+++ b/tests/server/recipes/test_summarize_router.py
@@ -0,0 +1,159 @@
+from fastapi.testclient import TestClient
+
+from private_gpt.server.recipes.summarize.summarize_router import (
+    SummarizeBody,
+    SummarizeResponse,
+)
+
+
+def test_summarize_route_produces_a_stream(test_client: TestClient) -> None:
+    body = SummarizeBody(
+        text="Test",
+        stream=True,
+    )
+    response = test_client.post("/v1/summarize", json=body.model_dump())
+
+    raw_events = response.text.split("\n\n")
+    events = [
+        item.removeprefix("data: ") for item in raw_events if item.startswith("data: ")
+    ]
+    assert response.status_code == 200
+    assert "text/event-stream" in response.headers["content-type"]
+    assert len(events) > 0
+    assert events[-1] == "[DONE]"
+
+
+def test_summarize_route_produces_a_single_value(test_client: TestClient) -> None:
+    body = SummarizeBody(
+        text="test",
+        stream=False,
+    )
+    response = test_client.post("/v1/summarize", json=body.model_dump())
+
+    # No asserts, if it validates it's good
+    SummarizeResponse.model_validate(response.json())
+    assert response.status_code == 200
+
+
+def test_summarize_with_document_context(test_client: TestClient) -> None:
+    # Ingest an document
+    ingest_response = test_client.post(
+        "/v1/ingest/text",
+        json={
+            "file_name": "file_name",
+            "text": "Lorem ipsum dolor sit amet",
+        },
+    )
+    assert ingest_response.status_code == 200
+    ingested_docs = ingest_response.json()["data"]
+    assert len(ingested_docs) == 1
+
+    body = SummarizeBody(
+        use_context=True,
+        context_filter={"docs_ids": [doc["doc_id"] for doc in ingested_docs]},
+        stream=False,
+    )
+    response = test_client.post("/v1/summarize", json=body.model_dump())
+
+    completion: SummarizeResponse = SummarizeResponse.model_validate(response.json())
+    assert response.status_code == 200
+    # We can check the content of the completion, because mock LLM used in tests
+    # always echoes the prompt. In the case of summary, the input context is passed.
+    assert completion.summary.find("Lorem ipsum dolor sit amet") != -1
+
+
+def test_summarize_with_non_existent_document_context_not_fails(
+    test_client: TestClient,
+) -> None:
+    body = SummarizeBody(
+        use_context=True,
+        context_filter={
+            "docs_ids": ["non-existent-doc-id"],
+        },
+        stream=False,
+    )
+
+    response = test_client.post("/v1/summarize", json=body.model_dump())
+
+    completion: SummarizeResponse = SummarizeResponse.model_validate(response.json())
+    assert response.status_code == 200
+    # We can check the content of the completion, because mock LLM used in tests
+    # always echoes the prompt. In the case of summary, the input context is passed.
+    assert completion.summary.find("Empty Response") != -1
+
+
+def test_summarize_with_metadata_and_document_context(test_client: TestClient) -> None:
+    docs = []
+
+    # Ingest a first document
+    document_1_content = "Content of document 1"
+    ingest_response = test_client.post(
+        "/v1/ingest/text",
+        json={
+            "file_name": "file_name_1",
+            "text": document_1_content,
+        },
+    )
+    assert ingest_response.status_code == 200
+    ingested_docs = ingest_response.json()["data"]
+    assert len(ingested_docs) == 1
+    docs += ingested_docs
+
+    # Ingest a second document
+    document_2_content = "Text of document 2"
+    ingest_response = test_client.post(
+        "/v1/ingest/text",
+        json={
+            "file_name": "file_name_2",
+            "text": document_2_content,
+        },
+    )
+    assert ingest_response.status_code == 200
+    ingested_docs = ingest_response.json()["data"]
+    assert len(ingested_docs) == 1
+    docs += ingested_docs
+
+    # Completions with the first document's id and the second document's metadata
+    body = SummarizeBody(
+        use_context=True,
+        context_filter={"docs_ids": [doc["doc_id"] for doc in docs]},
+        stream=False,
+    )
+    response = test_client.post("/v1/summarize", json=body.model_dump())
+
+    completion: SummarizeResponse = SummarizeResponse.model_validate(response.json())
+    assert response.status_code == 200
+    # Assert both documents are part of the used sources
+    # We can check the content of the completion, because mock LLM used in tests
+    # always echoes the prompt. In the case of summary, the input context is passed.
+    assert completion.summary.find(document_1_content) != -1
+    assert completion.summary.find(document_2_content) != -1
+
+
+def test_summarize_with_prompt(test_client: TestClient) -> None:
+    ingest_response = test_client.post(
+        "/v1/ingest/text",
+        json={
+            "file_name": "file_name",
+            "text": "Lorem ipsum dolor sit amet",
+        },
+    )
+    assert ingest_response.status_code == 200
+    ingested_docs = ingest_response.json()["data"]
+    assert len(ingested_docs) == 1
+
+    body = SummarizeBody(
+        use_context=True,
+        context_filter={
+            "docs_ids": [doc["doc_id"] for doc in ingested_docs],
+        },
+        prompt="This is a custom summary prompt, 54321",
+        stream=False,
+    )
+    response = test_client.post("/v1/summarize", json=body.model_dump())
+
+    completion: SummarizeResponse = SummarizeResponse.model_validate(response.json())
+    assert response.status_code == 200
+    # We can check the content of the completion, because mock LLM used in tests
+    # always echoes the prompt. In the case of summary, the input context is passed.
+    assert completion.summary.find("This is a custom summary prompt, 54321") != -1

From 54659588b5b109a3dd17cca835e275240464d275 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Thu, 1 Aug 2024 09:43:30 +0200
Subject: [PATCH 08/33] fix: nomic embeddings (#2030)

* fix: allow to configure trust_remote_code

based on: https://github.com/zylon-ai/private-gpt/issues/1893#issuecomment-2118629391

* fix: nomic hf embeddings
---
 poetry.lock                                       | 15 +++++++++++++--
 .../components/embedding/embedding_component.py   |  1 +
 private_gpt/settings/settings.py                  |  4 ++++
 pyproject.toml                                    |  5 ++++-
 settings.yaml                                     |  3 +++
 5 files changed, 25 insertions(+), 3 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 24301f0..4d6d699 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1151,6 +1151,17 @@ files = [
     {file = "docx2txt-0.8.tar.gz", hash = "sha256:2c06d98d7cfe2d3947e5760a57d924e3ff07745b379c8737723922e7009236e5"},
 ]
 
+[[package]]
+name = "einops"
+version = "0.8.0"
+description = "A new flavour of deep learning operations"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "einops-0.8.0-py3-none-any.whl", hash = "sha256:9572fb63046264a862693b0a87088af3bdc8c068fde03de63453cbbde245465f"},
+    {file = "einops-0.8.0.tar.gz", hash = "sha256:63486517fed345712a8385c100cb279108d9d47e6ae59099b07657e983deae85"},
+]
+
 [[package]]
 name = "email-validator"
 version = "2.2.0"
@@ -6659,7 +6670,7 @@ cffi = ["cffi (>=1.11)"]
 [extras]
 embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
 embeddings-gemini = ["llama-index-embeddings-gemini"]
-embeddings-huggingface = ["llama-index-embeddings-huggingface"]
+embeddings-huggingface = ["einops", "llama-index-embeddings-huggingface"]
 embeddings-ollama = ["llama-index-embeddings-ollama", "ollama"]
 embeddings-openai = ["llama-index-embeddings-openai"]
 embeddings-sagemaker = ["boto3"]
@@ -6682,4 +6693,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "dce5b88d92bcfa047bf1e4c9fe2dbb9c63eb864d6bbca2340801ac0a2f02a8d4"
+content-hash = "25abbb45bc462dbf056b83c0925b505ad1232484a18e50f07c5e7f517dd84e6f"
diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py
index 89a577b..5d3e997 100644
--- a/private_gpt/components/embedding/embedding_component.py
+++ b/private_gpt/components/embedding/embedding_component.py
@@ -31,6 +31,7 @@ class EmbeddingComponent:
                 self.embedding_model = HuggingFaceEmbedding(
                     model_name=settings.huggingface.embedding_hf_model_name,
                     cache_folder=str(models_cache_path),
+                    trust_remote_code=settings.huggingface.trust_remote_code,
                 )
             case "sagemaker":
                 try:
diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index c968f80..4cf192a 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -189,6 +189,10 @@ class HuggingFaceSettings(BaseModel):
         None,
         description="Huggingface access token, required to download some models",
     )
+    trust_remote_code: bool = Field(
+        False,
+        description="If set to True, the code from the remote model will be trusted and executed.",
+    )
 
 
 class EmbeddingSettings(BaseModel):
diff --git a/pyproject.toml b/pyproject.toml
index 5c6429b..2ebe5f9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -65,6 +65,9 @@ google-generativeai = {version ="^0.5.4", optional = true}
 # Optional Ollama client
 ollama = {version ="^0.3.0", optional = true}
 
+# Optional HF Transformers
+einops = {version = "^0.8.0", optional = true}
+
 [tool.poetry.extras]
 ui = ["gradio", "ffmpy"]
 llms-llama-cpp = ["llama-index-llms-llama-cpp"]
@@ -75,7 +78,7 @@ llms-sagemaker = ["boto3"]
 llms-azopenai = ["llama-index-llms-azure-openai"]
 llms-gemini = ["llama-index-llms-gemini", "google-generativeai"]
 embeddings-ollama = ["llama-index-embeddings-ollama", "ollama"]
-embeddings-huggingface = ["llama-index-embeddings-huggingface"]
+embeddings-huggingface = ["llama-index-embeddings-huggingface", "einops"]
 embeddings-openai = ["llama-index-embeddings-openai"]
 embeddings-sagemaker = ["boto3"]
 embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
diff --git a/settings.yaml b/settings.yaml
index a890733..f030604 100644
--- a/settings.yaml
+++ b/settings.yaml
@@ -91,6 +91,9 @@ embedding:
 huggingface:
   embedding_hf_model_name: nomic-ai/nomic-embed-text-v1.5
   access_token: ${HF_TOKEN:}
+  # Warning: Enabling this option will allow the model to download and execute code from the internet.
+  # Nomic AI requires this option to be enabled to use the model, be aware if you are using a different model.
+  trust_remote_code: true
 
 vectorstore:
   database: qdrant

From 50b3027a24b0dd246ae077ec193248e052576dc4 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Thu, 1 Aug 2024 10:01:22 +0200
Subject: [PATCH 09/33] docs: update docs and capture (#2029)

* docs: update Readme

* style: refactor image

* docs: change important to tip
---
 README.md               |  22 +++++++++-------------
 fern/docs/assets/ui.png | Bin 216925 -> 157774 bytes
 2 files changed, 9 insertions(+), 13 deletions(-)

diff --git a/README.md b/README.md
index 44b0875..b59ea28 100644
--- a/README.md
+++ b/README.md
@@ -2,21 +2,21 @@
 
 [![Tests](https://github.com/zylon-ai/private-gpt/actions/workflows/tests.yml/badge.svg)](https://github.com/zylon-ai/private-gpt/actions/workflows/tests.yml?query=branch%3Amain)
 [![Website](https://img.shields.io/website?up_message=check%20it&down_message=down&url=https%3A%2F%2Fdocs.privategpt.dev%2F&label=Documentation)](https://docs.privategpt.dev/)
-
 [![Discord](https://img.shields.io/discord/1164200432894234644?logo=discord&label=PrivateGPT)](https://discord.gg/bK6mRVpErU)
 [![X (formerly Twitter) Follow](https://img.shields.io/twitter/follow/ZylonPrivateGPT)](https://twitter.com/ZylonPrivateGPT)
 
-
-> Install & usage docs: https://docs.privategpt.dev/
-> 
-> Join the community: [Twitter](https://twitter.com/ZylonPrivateGPT) & [Discord](https://discord.gg/bK6mRVpErU)
-
 ![Gradio UI](/fern/docs/assets/ui.png?raw=true)
 
 PrivateGPT is a production-ready AI project that allows you to ask questions about your documents using the power
 of Large Language Models (LLMs), even in scenarios without an Internet connection. 100% private, no data leaves your
 execution environment at any point.
 
+>[!TIP]
+> If you are looking for an **enterprise-ready, fully private AI workspace**
+> check out [Zylon's website](https://zylon.ai)  or [request a demo](https://cal.com/zylon/demo?source=pgpt-readme).
+> Crafted by the team behind PrivateGPT, Zylon is a best-in-class AI collaborative
+> workspace that can be easily deployed on-premise (data center, bare metal...) or in your private cloud (AWS, GCP, Azure...).
+
 The project provides an API offering all the primitives required to build private, context-aware AI applications.
 It follows and extends the [OpenAI API standard](https://openai.com/blog/openai-api),
 and supports both normal and streaming responses.
@@ -38,14 +38,10 @@ In addition to this, a working [Gradio UI](https://www.gradio.app/)
 client is provided to test the API, together with a set of useful tools such as bulk model
 download script, ingestion script, documents folder watch, etc.
 
-> 💡 If you are looking for an **enterprise-ready, fully private AI workspace**
-> check out [Zylon's website](https://zylon.ai)  or [request a demo](https://cal.com/zylon/demo?source=pgpt-readme).
-> Crafted by the team behind PrivateGPT, Zylon is a best-in-class AI collaborative
-> workspace that can be easily deployed on-premise (data center, bare metal...) or in your private cloud (AWS, GCP, Azure...).
-
 ## 🎞️ Overview
-DISCLAIMER: This README is not updated as frequently as the [documentation](https://docs.privategpt.dev/).
-Please check it out for the latest updates!
+>[!WARNING]
+>  This README is not updated as frequently as the [documentation](https://docs.privategpt.dev/).
+>  Please check it out for the latest updates!
 
 ### Motivation behind PrivateGPT
 Generative AI is a game changer for our society, but adoption in companies of all sizes and data-sensitive
diff --git a/fern/docs/assets/ui.png b/fern/docs/assets/ui.png
index 009427a515dfdbcd64ade1647002f9b9a43b2ef2..c62c6d28c00b80a2af49486b6dd9427725cb6065 100644
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zbP0MfFg>Nl6Yg3jUSW0pskyzNoeH(PqM@+2uvh>Uzc_S4<p8EI&s@&3At{m`QaFh~
zd}p0afzyJ=`!bi%Had`<!m5G^p3qRg)wUy<ySnKjXWPNRwH?^%rwe(epR1d5|Ex##
zF1<=5S;+Dc)~}Q`n97LqToS1jCNSUCi^QONmE7Cc1C3#)yF&GZNT6e+XSexzI8_VQ
z0g<fcQ%Nj`E2zKyHPx*pwp+a(3+0<C&$<NJ4ncFBfu=huEdmDu<5L5PMSq!83pTbW
z9ASbjr_C+rr%qu(+cyWcIoyY<neqN%80#lpYNqJ}CP|vtKmtOf6rb5{DMlM)s#<PX
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z2XorcXN2V*TvPHz6=?7Jx5>fLsR3Yh9UoeS(05Y)`WfH<>F=zlRwY!iGN;TX&B>*}
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From cf61bf780f8d122e4057d002abf03563bb45614a Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Thu, 1 Aug 2024 19:14:26 +0200
Subject: [PATCH 10/33] feat(llm): add progress bar when ollama is pulling
 models (#2031)

* fix: add ollama progress bar when pulling models

* feat: add ollama queue

* fix: mypy
---
 private_gpt/utils/ollama.py | 50 ++++++++++++++++++++++++++++++++++++-
 1 file changed, 49 insertions(+), 1 deletion(-)

diff --git a/private_gpt/utils/ollama.py b/private_gpt/utils/ollama.py
index 41c7ecc..9c75a87 100644
--- a/private_gpt/utils/ollama.py
+++ b/private_gpt/utils/ollama.py
@@ -1,4 +1,9 @@
 import logging
+from collections import deque
+from collections.abc import Iterator, Mapping
+from typing import Any
+
+from tqdm import tqdm  # type: ignore
 
 try:
     from ollama import Client  # type: ignore
@@ -19,12 +24,55 @@ def check_connection(client: Client) -> bool:
         return False
 
 
+def process_streaming(generator: Iterator[Mapping[str, Any]]) -> None:
+    progress_bars = {}
+    queue = deque()  # type: ignore
+
+    def create_progress_bar(dgt: str, total: int) -> Any:
+        return tqdm(
+            total=total, desc=f"Pulling model {dgt[7:17]}...", unit="B", unit_scale=True
+        )
+
+    current_digest = None
+
+    for chunk in generator:
+        digest = chunk.get("digest")
+        completed_size = chunk.get("completed", 0)
+        total_size = chunk.get("total")
+
+        if digest and total_size is not None:
+            if digest not in progress_bars and completed_size > 0:
+                progress_bars[digest] = create_progress_bar(digest, total=total_size)
+                if current_digest is None:
+                    current_digest = digest
+                else:
+                    queue.append(digest)
+
+            if digest in progress_bars:
+                progress_bar = progress_bars[digest]
+                progress = completed_size - progress_bar.n
+                if completed_size > 0 and total_size >= progress != progress_bar.n:
+                    if digest == current_digest:
+                        progress_bar.update(progress)
+                        if progress_bar.n >= total_size:
+                            progress_bar.close()
+                            current_digest = queue.popleft() if queue else None
+                    else:
+                        # Store progress for later update
+                        progress_bars[digest].total = total_size
+                        progress_bars[digest].n = completed_size
+
+    # Close any remaining progress bars at the end
+    for progress_bar in progress_bars.values():
+        progress_bar.close()
+
+
 def pull_model(client: Client, model_name: str, raise_error: bool = True) -> None:
     try:
         installed_models = [model["name"] for model in client.list().get("models", {})]
         if model_name not in installed_models:
             logger.info(f"Pulling model {model_name}. Please wait...")
-            client.pull(model_name)
+            process_streaming(client.pull(model_name, stream=True))
             logger.info(f"Model {model_name} pulled successfully")
     except Exception as e:
         logger.error(f"Failed to pull model {model_name}: {e!s}")

From e44a7f5773222ac3a04fc47f23d9a6feaa2a0770 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Fri, 2 Aug 2024 11:26:03 +0200
Subject: [PATCH 11/33] chore: bump version (#2033)

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 2ebe5f9..10e3c2b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "private-gpt"
-version = "0.5.0"
+version = "0.6.0"
 description = "Private GPT"
 authors = ["Zylon <hi@zylon.ai>"]
 

From 6674b46fead37b35621beefdb4fc05036591ccdf Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Fri, 2 Aug 2024 11:28:22 +0200
Subject: [PATCH 12/33] chore(main): release 0.6.0 (#1834)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
---
 CHANGELOG.md | 38 ++++++++++++++++++++++++++++++++++++++
 version.txt  |  2 +-
 2 files changed, 39 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 37e5dce..4a9bbed 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,43 @@
 # Changelog
 
+## [0.6.0](https://github.com/zylon-ai/private-gpt/compare/v0.5.0...v0.6.0) (2024-08-02)
+
+
+### Features
+
+* bump dependencies ([#1987](https://github.com/zylon-ai/private-gpt/issues/1987)) ([b687dc8](https://github.com/zylon-ai/private-gpt/commit/b687dc852413404c52d26dcb94536351a63b169d))
+* **docs:** add privategpt-ts sdk ([#1924](https://github.com/zylon-ai/private-gpt/issues/1924)) ([d13029a](https://github.com/zylon-ai/private-gpt/commit/d13029a046f6e19e8ee65bef3acd96365c738df2))
+* **docs:** Fix setup docu ([#1926](https://github.com/zylon-ai/private-gpt/issues/1926)) ([067a5f1](https://github.com/zylon-ai/private-gpt/commit/067a5f144ca6e605c99d7dbe9ca7d8207ac8808d))
+* **docs:** update doc for ipex-llm ([#1968](https://github.com/zylon-ai/private-gpt/issues/1968)) ([19a7c06](https://github.com/zylon-ai/private-gpt/commit/19a7c065ef7f42b37f289dd28ac945f7afc0e73a))
+* **docs:** update documentation and fix preview-docs ([#2000](https://github.com/zylon-ai/private-gpt/issues/2000)) ([4523a30](https://github.com/zylon-ai/private-gpt/commit/4523a30c8f004aac7a7ae224671e2c45ec0cb973))
+* **llm:** add progress bar when ollama is pulling models ([#2031](https://github.com/zylon-ai/private-gpt/issues/2031)) ([cf61bf7](https://github.com/zylon-ai/private-gpt/commit/cf61bf780f8d122e4057d002abf03563bb45614a))
+* **llm:** autopull ollama models ([#2019](https://github.com/zylon-ai/private-gpt/issues/2019)) ([20bad17](https://github.com/zylon-ai/private-gpt/commit/20bad17c9857809158e689e9671402136c1e3d84))
+* **llm:** Support for Google Gemini LLMs and Embeddings ([#1965](https://github.com/zylon-ai/private-gpt/issues/1965)) ([fc13368](https://github.com/zylon-ai/private-gpt/commit/fc13368bc72d1f4c27644677431420ed77731c03))
+* make llama3.1 as default ([#2022](https://github.com/zylon-ai/private-gpt/issues/2022)) ([9027d69](https://github.com/zylon-ai/private-gpt/commit/9027d695c11fbb01e62424b855665de71d513417))
+* prompt_style applied to all LLMs + extra LLM params. ([#1835](https://github.com/zylon-ai/private-gpt/issues/1835)) ([e21bf20](https://github.com/zylon-ai/private-gpt/commit/e21bf20c10938b24711d9f2c765997f44d7e02a9))
+* **recipe:** add our first recipe  `Summarize` ([#2028](https://github.com/zylon-ai/private-gpt/issues/2028)) ([8119842](https://github.com/zylon-ai/private-gpt/commit/8119842ae6f1f5ecfaf42b06fa0d1ffec675def4))
+* **vectordb:** Milvus vector db Integration ([#1996](https://github.com/zylon-ai/private-gpt/issues/1996)) ([43cc31f](https://github.com/zylon-ai/private-gpt/commit/43cc31f74015f8d8fcbf7a8ea7d7d9ecc66cf8c9))
+* **vectorstore:** Add clickhouse support as vectore store ([#1883](https://github.com/zylon-ai/private-gpt/issues/1883)) ([2612928](https://github.com/zylon-ai/private-gpt/commit/26129288394c7483e6fc0496a11dc35679528cc1))
+
+
+### Bug Fixes
+
+* "no such group" error in Dockerfile, added docx2txt and cryptography deps ([#1841](https://github.com/zylon-ai/private-gpt/issues/1841)) ([947e737](https://github.com/zylon-ai/private-gpt/commit/947e737f300adf621d2261d527192f36f3387f8e))
+* **config:** make tokenizer optional and include a troubleshooting doc ([#1998](https://github.com/zylon-ai/private-gpt/issues/1998)) ([01b7ccd](https://github.com/zylon-ai/private-gpt/commit/01b7ccd0648be032846647c9a184925d3682f612))
+* **docs:** Fix concepts.mdx referencing to installation page ([#1779](https://github.com/zylon-ai/private-gpt/issues/1779)) ([dde0224](https://github.com/zylon-ai/private-gpt/commit/dde02245bcd51a7ede7b6789c82ae217cac53d92))
+* **docs:** Update installation.mdx ([#1866](https://github.com/zylon-ai/private-gpt/issues/1866)) ([c1802e7](https://github.com/zylon-ai/private-gpt/commit/c1802e7cf0e56a2603213ec3b6a4af8fadb8a17a))
+* ffmpy dependency ([#2020](https://github.com/zylon-ai/private-gpt/issues/2020)) ([dabf556](https://github.com/zylon-ai/private-gpt/commit/dabf556dae9cb00fe0262270e5138d982585682e))
+* light mode ([#2025](https://github.com/zylon-ai/private-gpt/issues/2025)) ([1020cd5](https://github.com/zylon-ai/private-gpt/commit/1020cd53288af71a17882781f392512568f1b846))
+* **LLM:** mistral ignoring assistant messages ([#1954](https://github.com/zylon-ai/private-gpt/issues/1954)) ([c7212ac](https://github.com/zylon-ai/private-gpt/commit/c7212ac7cc891f9e3c713cc206ae9807c5dfdeb6))
+* **llm:** special tokens and leading space ([#1831](https://github.com/zylon-ai/private-gpt/issues/1831)) ([347be64](https://github.com/zylon-ai/private-gpt/commit/347be643f7929c56382a77c3f45f0867605e0e0a))
+* make embedding_api_base match api_base when on docker ([#1859](https://github.com/zylon-ai/private-gpt/issues/1859)) ([2a432bf](https://github.com/zylon-ai/private-gpt/commit/2a432bf9c5582a94eb4052b1e80cabdb118d298e))
+* nomic embeddings ([#2030](https://github.com/zylon-ai/private-gpt/issues/2030)) ([5465958](https://github.com/zylon-ai/private-gpt/commit/54659588b5b109a3dd17cca835e275240464d275))
+* prevent to ingest local files (by default) ([#2010](https://github.com/zylon-ai/private-gpt/issues/2010)) ([e54a8fe](https://github.com/zylon-ai/private-gpt/commit/e54a8fe0433252808d0a60f6a08a43c9f5a42f3b))
+* Replacing unsafe `eval()` with `json.loads()` ([#1890](https://github.com/zylon-ai/private-gpt/issues/1890)) ([9d0d614](https://github.com/zylon-ai/private-gpt/commit/9d0d614706581a8bfa57db45f62f84ab23d26f15))
+* **settings:** enable cors by default so it will work when using ts sdk (spa) ([#1925](https://github.com/zylon-ai/private-gpt/issues/1925)) ([966af47](https://github.com/zylon-ai/private-gpt/commit/966af4771dbe5cf3fdf554b5fdf8f732407859c4))
+* **ui:** gradio bug fixes ([#2021](https://github.com/zylon-ai/private-gpt/issues/2021)) ([d4375d0](https://github.com/zylon-ai/private-gpt/commit/d4375d078f18ba53562fd71651159f997fff865f))
+* unify embedding models ([#2027](https://github.com/zylon-ai/private-gpt/issues/2027)) ([40638a1](https://github.com/zylon-ai/private-gpt/commit/40638a18a5713d60fec8fe52796dcce66d88258c))
+
 ## [0.5.0](https://github.com/zylon-ai/private-gpt/compare/v0.4.0...v0.5.0) (2024-04-02)
 
 
diff --git a/version.txt b/version.txt
index 8f0916f..a918a2a 100644
--- a/version.txt
+++ b/version.txt
@@ -1 +1 @@
-0.5.0
+0.6.0

From dae0727a1b4abd35d2b0851fe30e0a4ed67e0fbb Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Mon, 5 Aug 2024 16:17:36 +0200
Subject: [PATCH 13/33] fix(deploy): improve Docker-Compose and quickstart on
 Docker (#2037)

* chore: update docker-compose with profiles

* docs: add quick start doc
---
 .docker/router.yml                        | 16 ++++
 docker-compose.yaml                       | 90 +++++++++++++++++++++--
 fern/docs.yml                             |  9 +++
 fern/docs/pages/quickstart/quickstart.mdx | 85 +++++++++++++++++++++
 4 files changed, 195 insertions(+), 5 deletions(-)
 create mode 100644 .docker/router.yml
 create mode 100644 fern/docs/pages/quickstart/quickstart.mdx

diff --git a/.docker/router.yml b/.docker/router.yml
new file mode 100644
index 0000000..3b55df9
--- /dev/null
+++ b/.docker/router.yml
@@ -0,0 +1,16 @@
+http:
+  services:
+    ollama:
+      loadBalancer:
+        healthCheck:
+          interval: 5s
+          path: /
+        servers:
+          - url: http://ollama-cpu:11434
+          - url: http://ollama-cuda:11434
+          - url: http://host.docker.internal:11434
+
+  routers:
+    ollama-router:
+      rule: "PathPrefix(`/`)"
+      service: ollama
\ No newline at end of file
diff --git a/docker-compose.yaml b/docker-compose.yaml
index 517af65..6391367 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -1,19 +1,99 @@
 services:
-  private-gpt:
+
+  #-----------------------------------
+  #---- Private-GPT services ---------
+  #-----------------------------------
+
+  # Private-GPT service for the Ollama CPU and GPU modes
+  # This service builds from an external Dockerfile and runs the Ollama mode.
+  private-gpt-ollama:
     build:
+      context: .
       dockerfile: Dockerfile.external
     volumes:
       - ./local_data/:/home/worker/app/local_data
     ports:
-      - 8001:8001
+      - "8001:8001"
     environment:
       PORT: 8001
       PGPT_PROFILES: docker
       PGPT_MODE: ollama
       PGPT_EMBED_MODE: ollama
-  ollama:
-    image: ollama/ollama:latest
+      PGPT_OLLAMA_API_BASE: http://ollama:11434
+    profiles:
+      - ""
+      - ollama
+      - ollama-cuda
+      - ollama-host
+
+  # Private-GPT service for the local mode
+  # This service builds from a local Dockerfile and runs the application in local mode.
+  private-gpt-local:
+    build:
+      context: .
+      dockerfile: Dockerfile.local
+    volumes:
+      - ./local_data/:/home/worker/app/local_data
+      - ./models/:/home/worker/app/models
+    entrypoint: sh -c ".venv/bin/python scripts/setup && .venv/bin/python -m private_gpt"
     ports:
-      - 11434:11434
+      - "8001:8001"
+    environment:
+      PORT: 8001
+      PGPT_PROFILES: local
+      HF_TOKEN: ${HF_TOKEN}
+    profiles:
+      - local
+
+  #-----------------------------------
+  #---- Ollama services --------------
+  #-----------------------------------
+
+  # Traefik reverse proxy for the Ollama service
+  # This will route requests to the Ollama service based on the profile.
+  ollama:
+    image: traefik:v2.10
+    ports:
+      - "11435:11434"
+      - "8081:8080"
+    command:
+      - "--providers.file.filename=/etc/router.yml"
+      - "--log.level=ERROR"
+      - "--api.insecure=true"
+      - "--providers.docker=true"
+      - "--providers.docker.exposedbydefault=false"
+      - "--entrypoints.web.address=:11434"
+    volumes:
+      - /var/run/docker.sock:/var/run/docker.sock:ro
+      - ./.docker/router.yml:/etc/router.yml:ro
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
+    profiles:
+      - ""
+      - ollama
+      - ollama-cuda
+      - ollama-host
+
+  # Ollama service for the CPU mode
+  ollama-cpu:
+    image: ollama/ollama:latest
     volumes:
       - ./models:/root/.ollama
+    profiles:
+      - ""
+      - ollama
+
+  # Ollama service for the CUDA mode
+  ollama-cuda:
+    image: ollama/ollama:latest
+    volumes:
+      - ./models:/root/.ollama
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    profiles:
+      - ollama-cuda
\ No newline at end of file
diff --git a/fern/docs.yml b/fern/docs.yml
index e0a5c42..d13822c 100644
--- a/fern/docs.yml
+++ b/fern/docs.yml
@@ -10,6 +10,9 @@ tabs:
   overview:
     display-name: Overview
     icon: "fa-solid fa-home"
+  quickstart:
+    display-name: Quickstart
+    icon: "fa-solid fa-rocket"
   installation:
     display-name: Installation
     icon: "fa-solid fa-download"
@@ -32,6 +35,12 @@ navigation:
         contents:
           - page: Introduction
             path: ./docs/pages/overview/welcome.mdx
+  - tab: quickstart
+    layout:
+      - section: Getting started
+        contents:
+          - page: Quickstart
+            path: ./docs/pages/quickstart/quickstart.mdx
   # How to install PrivateGPT, with FAQ and troubleshooting
   - tab: installation
     layout:
diff --git a/fern/docs/pages/quickstart/quickstart.mdx b/fern/docs/pages/quickstart/quickstart.mdx
new file mode 100644
index 0000000..702d8ed
--- /dev/null
+++ b/fern/docs/pages/quickstart/quickstart.mdx
@@ -0,0 +1,85 @@
+This guide provides a quick start for running different profiles of PrivateGPT using Docker Compose.
+The profiles cater to various environments, including Ollama setups (CPU, CUDA, MacOS) and fully Local setup.
+
+If you want to run PrivateGPT locally without Docker, refer to the [Local Installation Guide](/installation).
+
+#### Prerequisites
+- **Docker and Docker Compose:** Ensure both are installed on your system.
+[Installation Guide for Docker](https://docs.docker.com/get-docker/), [Installation Guide for Docker Compose](https://docs.docker.com/compose/install/).
+- **Clone PrivateGPT Repository:** Clone the PrivateGPT repository to your machine and navigate to the directory:
+  ```sh
+  git clone https://github.com/zylon-ai/private-gpt.git
+  cd private-gpt
+  ```
+
+---
+
+## Ollama Setups (Recommended)
+
+Ollama setups are recommended for their ease of use and optimized configurations. Ollama offers different profiles depending on your hardware capabilities and operating system.
+
+### 1. Default/Ollama CPU
+
+**Description:**
+This profile runs the Ollama service using CPU resources. It is the standard configuration for running Ollama-based Private-GPT services without GPU acceleration.
+
+**Run:**
+To start the services, use either of the following commands:
+```sh
+docker-compose up
+```
+or
+```sh
+docker-compose --profile ollama up
+```
+
+### 2. Ollama Nvidia CUDA
+
+**Description:**
+This profile leverages GPU acceleration with CUDA support, suitable for computationally intensive tasks that benefit from GPU resources.
+
+**Requirements:**
+- Ensure that your system has compatible GPU hardware and the necessary NVIDIA drivers installed. The installation process is detailed [here](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html).
+
+**Run:**
+To start the services with CUDA support, use:
+```sh
+docker-compose --profile ollama-cuda up
+```
+
+### 3. Ollama Host
+
+**Description:**
+This profile is designed for running PrivateGPT using Ollama installed on the host machine. This setup is particularly useful for MacOS users, as Docker does not yet support Metal GPU.
+
+**Requirements:**
+- Install Ollama on your machine by following the instructions at [ollama.ai](https://ollama.ai/).
+- Start the Ollama service with the command:
+```sh
+OLLAMA_HOST=0.0.0.0 ollama serve
+```
+
+**Run:**
+To start the services with the host configuration, use:
+```sh
+docker-compose --profile ollama-host up
+```
+
+---
+
+## Fully Local Setups
+
+### LlamaCPP + HuggingFace Embeddings
+
+**Description:**
+This profile runs the Private-GPT services locally using `llama-cpp` and Hugging Face models.
+
+**Requirements:**
+- **Hugging Face Token (HF_TOKEN):** Required for accessing Hugging Face models. Obtain your token following [this guide](/installation/getting-started/troubleshooting#downloading-gated-and-private-models).
+
+**Run:**
+Start the services with your Hugging Face token:
+```sh
+HF_TOKEN=<your_hf_token> docker-compose up --profile local
+```
+Replace `<your_hf_token>` with your actual Hugging Face token.
\ No newline at end of file

From 1d4c14d7a3c383c874b323d934be01afbaca899e Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Mon, 5 Aug 2024 16:18:34 +0200
Subject: [PATCH 14/33] fix(deploy): generate docker release when new version
 is released (#2038)

---
 .github/workflows/docker.yml           | 45 --------------
 .github/workflows/generate-release.yml | 83 ++++++++++++++++++++++++++
 2 files changed, 83 insertions(+), 45 deletions(-)
 delete mode 100644 .github/workflows/docker.yml
 create mode 100644 .github/workflows/generate-release.yml

diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml
deleted file mode 100644
index 259cf5d..0000000
--- a/.github/workflows/docker.yml
+++ /dev/null
@@ -1,45 +0,0 @@
-name: docker
-
-on:
-  release:
-    types: [ published ]
-  workflow_dispatch:
-
-env:
-  REGISTRY: ghcr.io
-  IMAGE_NAME: ${{ github.repository }}
-
-jobs:
-  build-and-push-image:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      packages: write
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-      - name: Log in to the Container registry
-        uses: docker/login-action@v3
-        with:
-          registry: ${{ env.REGISTRY }}
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-      - name: Extract metadata (tags, labels) for Docker
-        id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
-          tags: |
-            type=ref,event=branch
-            type=ref,event=pr
-            type=semver,pattern={{version}}
-            type=semver,pattern={{major}}.{{minor}}
-            type=sha
-      - name: Build and push Docker image
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          file: Dockerfile.external
-          push: true
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
diff --git a/.github/workflows/generate-release.yml b/.github/workflows/generate-release.yml
new file mode 100644
index 0000000..b84c3fa
--- /dev/null
+++ b/.github/workflows/generate-release.yml
@@ -0,0 +1,83 @@
+name: generate-release
+
+on:
+  release:
+    types: [ published ]
+  workflow_dispatch:
+
+env:
+  REGISTRY: docker.io
+  IMAGE_NAME: ${{ github.repository }}
+  platforms: linux/amd64,linux/arm64
+  DEFAULT_TYPE: "external"
+
+jobs:
+  build-and-push-image:
+    runs-on: ubuntu-latest
+
+    strategy:
+      matrix:
+        type: [ local, external ]
+
+    permissions:
+      contents: read
+      packages: write
+
+    outputs:
+      version: ${{ steps.version.outputs.version }}
+
+    steps:
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
+        with:
+          tool-cache: false
+          android: true
+          dotnet: true
+          haskell: true
+          large-packages: true
+          docker-images: false
+          swap-storage: true
+
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_PASSWORD }}
+
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=semver,pattern={{version}},enable=${{ matrix.type == env.DEFAULT_TYPE }}
+            type=semver,pattern={{version}}-${{ matrix.type }}
+            type=semver,pattern={{major}}.{{minor}},enable=${{ matrix.type == env.DEFAULT_TYPE }}
+            type=semver,pattern={{major}}.{{minor}}-${{ matrix.type }}
+            type=raw,value=latest,enable=${{ matrix.type == env.DEFAULT_TYPE }}
+            type=sha
+          flavor: |
+            latest=false
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: Dockerfile.${{ matrix.type }}
+          platforms: ${{ env.platforms }}
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+
+      - name: Version output
+        id: version
+        run: echo "version=${{ steps.meta.outputs.version }}" >> "$GITHUB_OUTPUT"
\ No newline at end of file

From 1c665f7900658144f62814b51f6e3434a6d7377f Mon Sep 17 00:00:00 2001
From: Liam Dowd <101684827+itsliamdowd@users.noreply.github.com>
Date: Mon, 5 Aug 2024 16:30:10 +0200
Subject: [PATCH 15/33] fix: Adding azopenai to model list (#2035)

Fixing the error I encountered while using the azopenai mode
---
 private_gpt/ui/ui.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py
index 0bf06d1..2c1dcd3 100644
--- a/private_gpt/ui/ui.py
+++ b/private_gpt/ui/ui.py
@@ -519,6 +519,7 @@ class PrivateGptUi:
                             "llamacpp": config_settings.llamacpp.llm_hf_model_file,
                             "openai": config_settings.openai.model,
                             "openailike": config_settings.openai.model,
+                            "azopenai": config_settings.azopenai.llm_model,
                             "sagemaker": config_settings.sagemaker.llm_endpoint_name,
                             "mock": llm_mode,
                             "ollama": config_settings.ollama.llm_model,

From f09f6dd2553077d4566dbe6b48a450e05c2f049e Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Mon, 5 Aug 2024 17:15:38 +0200
Subject: [PATCH 16/33] fix: add built image from DockerHub (#2042)

* chore: update docker-compose with profiles

* docs: add quick start doc

* chore: generate docker release when new version is released

* chore: add dockerhub image in docker-compose

* docs: update quickstart with local/remote images

* chore: update docker tag

* chore: refactor dockerfile names

* chore: update docker-compose names

* docs: update llamacpp naming

* fix: naming

* docs: fix llamacpp command
---
 .github/workflows/generate-release.yml      |  4 +-
 Dockerfile.local => Dockerfile.llamacpp-cpu |  0
 Dockerfile.external => Dockerfile.ollama    |  0
 docker-compose.yaml                         | 19 ++---
 fern/docs/pages/quickstart/quickstart.mdx   | 78 +++++++++++++--------
 5 files changed, 62 insertions(+), 39 deletions(-)
 rename Dockerfile.local => Dockerfile.llamacpp-cpu (100%)
 rename Dockerfile.external => Dockerfile.ollama (100%)

diff --git a/.github/workflows/generate-release.yml b/.github/workflows/generate-release.yml
index b84c3fa..82d08d0 100644
--- a/.github/workflows/generate-release.yml
+++ b/.github/workflows/generate-release.yml
@@ -9,7 +9,7 @@ env:
   REGISTRY: docker.io
   IMAGE_NAME: ${{ github.repository }}
   platforms: linux/amd64,linux/arm64
-  DEFAULT_TYPE: "external"
+  DEFAULT_TYPE: "ollama"
 
 jobs:
   build-and-push-image:
@@ -17,7 +17,7 @@ jobs:
 
     strategy:
       matrix:
-        type: [ local, external ]
+        type: [ llamacpp-cpu, ollama ]
 
     permissions:
       contents: read
diff --git a/Dockerfile.local b/Dockerfile.llamacpp-cpu
similarity index 100%
rename from Dockerfile.local
rename to Dockerfile.llamacpp-cpu
diff --git a/Dockerfile.external b/Dockerfile.ollama
similarity index 100%
rename from Dockerfile.external
rename to Dockerfile.ollama
diff --git a/docker-compose.yaml b/docker-compose.yaml
index 6391367..a5df464 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -7,9 +7,10 @@ services:
   # Private-GPT service for the Ollama CPU and GPU modes
   # This service builds from an external Dockerfile and runs the Ollama mode.
   private-gpt-ollama:
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-ollama
     build:
       context: .
-      dockerfile: Dockerfile.external
+      dockerfile: Dockerfile.ollama
     volumes:
       - ./local_data/:/home/worker/app/local_data
     ports:
@@ -20,18 +21,20 @@ services:
       PGPT_MODE: ollama
       PGPT_EMBED_MODE: ollama
       PGPT_OLLAMA_API_BASE: http://ollama:11434
+      HF_TOKEN: ${HF_TOKEN:-}
     profiles:
       - ""
-      - ollama
+      - ollama-cpu
       - ollama-cuda
-      - ollama-host
+      - ollama-api
 
   # Private-GPT service for the local mode
   # This service builds from a local Dockerfile and runs the application in local mode.
-  private-gpt-local:
+  private-gpt-llamacpp-cpu:
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-llamacpp-cpu
     build:
       context: .
-      dockerfile: Dockerfile.local
+      dockerfile: Dockerfile.llamacpp-cpu
     volumes:
       - ./local_data/:/home/worker/app/local_data
       - ./models/:/home/worker/app/models
@@ -43,7 +46,7 @@ services:
       PGPT_PROFILES: local
       HF_TOKEN: ${HF_TOKEN}
     profiles:
-      - local
+      - llamacpp-cpu
 
   #-----------------------------------
   #---- Ollama services --------------
@@ -70,9 +73,9 @@ services:
       - "host.docker.internal:host-gateway"
     profiles:
       - ""
-      - ollama
+      - ollama-cpu
       - ollama-cuda
-      - ollama-host
+      - ollama-api
 
   # Ollama service for the CPU mode
   ollama-cpu:
diff --git a/fern/docs/pages/quickstart/quickstart.mdx b/fern/docs/pages/quickstart/quickstart.mdx
index 702d8ed..09877ce 100644
--- a/fern/docs/pages/quickstart/quickstart.mdx
+++ b/fern/docs/pages/quickstart/quickstart.mdx
@@ -1,85 +1,105 @@
 This guide provides a quick start for running different profiles of PrivateGPT using Docker Compose.
-The profiles cater to various environments, including Ollama setups (CPU, CUDA, MacOS) and fully Local setup.
+The profiles cater to various environments, including Ollama setups (CPU, CUDA, MacOS), and a fully local setup.
+
+By default, Docker Compose will download pre-built images from a remote registry when starting the services. However, you have the option to build the images locally if needed. Details on building Docker image locally are provided at the end of this guide.
 
 If you want to run PrivateGPT locally without Docker, refer to the [Local Installation Guide](/installation).
 
-#### Prerequisites
+## Prerequisites
 - **Docker and Docker Compose:** Ensure both are installed on your system.
-[Installation Guide for Docker](https://docs.docker.com/get-docker/), [Installation Guide for Docker Compose](https://docs.docker.com/compose/install/).
+  [Installation Guide for Docker](https://docs.docker.com/get-docker/), [Installation Guide for Docker Compose](https://docs.docker.com/compose/install/).
 - **Clone PrivateGPT Repository:** Clone the PrivateGPT repository to your machine and navigate to the directory:
   ```sh
   git clone https://github.com/zylon-ai/private-gpt.git
   cd private-gpt
   ```
 
----
+## Setups
 
-## Ollama Setups (Recommended)
+### Ollama Setups (Recommended)
 
-Ollama setups are recommended for their ease of use and optimized configurations. Ollama offers different profiles depending on your hardware capabilities and operating system.
-
-### 1. Default/Ollama CPU
+#### 1. Default/Ollama CPU
 
 **Description:**
 This profile runs the Ollama service using CPU resources. It is the standard configuration for running Ollama-based Private-GPT services without GPU acceleration.
 
 **Run:**
-To start the services, use either of the following commands:
+To start the services using pre-built images, run:
 ```sh
 docker-compose up
 ```
-or
+or with a specific profile:
 ```sh
-docker-compose --profile ollama up
+docker-compose --profile ollama-cpu up
 ```
 
-### 2. Ollama Nvidia CUDA
+#### 2. Ollama Nvidia CUDA
 
 **Description:**
 This profile leverages GPU acceleration with CUDA support, suitable for computationally intensive tasks that benefit from GPU resources.
 
 **Requirements:**
-- Ensure that your system has compatible GPU hardware and the necessary NVIDIA drivers installed. The installation process is detailed [here](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html).
+Ensure that your system has compatible GPU hardware and the necessary NVIDIA drivers installed. The installation process is detailed [here](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html).
 
 **Run:**
-To start the services with CUDA support, use:
+To start the services with CUDA support using pre-built images, run:
 ```sh
 docker-compose --profile ollama-cuda up
 ```
 
-### 3. Ollama Host
+#### 3. Ollama External API
 
 **Description:**
 This profile is designed for running PrivateGPT using Ollama installed on the host machine. This setup is particularly useful for MacOS users, as Docker does not yet support Metal GPU.
 
 **Requirements:**
-- Install Ollama on your machine by following the instructions at [ollama.ai](https://ollama.ai/).
-- Start the Ollama service with the command:
+Install Ollama on your machine by following the instructions at [ollama.ai](https://ollama.ai/).
+
+**Run:**
+To start the Ollama service, use:
 ```sh
 OLLAMA_HOST=0.0.0.0 ollama serve
 ```
-
-**Run:**
-To start the services with the host configuration, use:
+To start the services with the host configuration using pre-built images, run:
 ```sh
-docker-compose --profile ollama-host up
+docker-compose --profile ollama-api up
 ```
 
----
+### Fully Local Setups
 
-## Fully Local Setups
-
-### LlamaCPP + HuggingFace Embeddings
+#### 1. LlamaCPP CPU
 
 **Description:**
 This profile runs the Private-GPT services locally using `llama-cpp` and Hugging Face models.
 
 **Requirements:**
-- **Hugging Face Token (HF_TOKEN):** Required for accessing Hugging Face models. Obtain your token following [this guide](/installation/getting-started/troubleshooting#downloading-gated-and-private-models).
+A **Hugging Face Token (HF_TOKEN)** is required for accessing Hugging Face models. Obtain your token following [this guide](/installation/getting-started/troubleshooting#downloading-gated-and-private-models).
 
 **Run:**
-Start the services with your Hugging Face token:
+Start the services with your Hugging Face token using pre-built images:
 ```sh
-HF_TOKEN=<your_hf_token> docker-compose up --profile local
+HF_TOKEN=<your_hf_token> docker-compose --profile llamacpp-cpu up
 ```
-Replace `<your_hf_token>` with your actual Hugging Face token.
\ No newline at end of file
+Replace `<your_hf_token>` with your actual Hugging Face token.
+
+## Building Locally
+
+If you prefer to build Docker images locally, which is useful when making changes to the codebase or the Dockerfiles, follow these steps:
+
+### Building Locally
+To build the Docker images locally, navigate to the cloned repository directory and run:
+```sh
+docker-compose build
+```
+This command compiles the necessary Docker images based on the current codebase and Dockerfile configurations.
+
+### Forcing a Rebuild with --build
+If you have made changes and need to ensure these changes are reflected in the Docker images, you can force a rebuild before starting the services:
+```sh
+docker-compose up --build
+```
+or with a specific profile:
+```sh
+docker-compose --profile <profile_name> up --build
+```
+Replace `<profile_name>` with the desired profile.
\ No newline at end of file

From ca2b8da69cd71c1654d2b219a1c4c4e01d1886ad Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 5 Aug 2024 17:17:34 +0200
Subject: [PATCH 17/33] chore(main): release 0.6.1 (#2041)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
---
 CHANGELOG.md | 10 ++++++++++
 version.txt  |  2 +-
 2 files changed, 11 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 4a9bbed..34362b0 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,15 @@
 # Changelog
 
+## [0.6.1](https://github.com/zylon-ai/private-gpt/compare/v0.6.0...v0.6.1) (2024-08-05)
+
+
+### Bug Fixes
+
+* add built image from DockerHub ([#2042](https://github.com/zylon-ai/private-gpt/issues/2042)) ([f09f6dd](https://github.com/zylon-ai/private-gpt/commit/f09f6dd2553077d4566dbe6b48a450e05c2f049e))
+* Adding azopenai to model list ([#2035](https://github.com/zylon-ai/private-gpt/issues/2035)) ([1c665f7](https://github.com/zylon-ai/private-gpt/commit/1c665f7900658144f62814b51f6e3434a6d7377f))
+* **deploy:** generate docker release when new version is released ([#2038](https://github.com/zylon-ai/private-gpt/issues/2038)) ([1d4c14d](https://github.com/zylon-ai/private-gpt/commit/1d4c14d7a3c383c874b323d934be01afbaca899e))
+* **deploy:** improve Docker-Compose and quickstart on Docker ([#2037](https://github.com/zylon-ai/private-gpt/issues/2037)) ([dae0727](https://github.com/zylon-ai/private-gpt/commit/dae0727a1b4abd35d2b0851fe30e0a4ed67e0fbb))
+
 ## [0.6.0](https://github.com/zylon-ai/private-gpt/compare/v0.5.0...v0.6.0) (2024-08-02)
 
 
diff --git a/version.txt b/version.txt
index a918a2a..ee6cdce 100644
--- a/version.txt
+++ b/version.txt
@@ -1 +1 @@
-0.6.0
+0.6.1

From b16abbefe49527ac038d235659854b98345d5387 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Wed, 7 Aug 2024 11:26:42 +0200
Subject: [PATCH 18/33] fix: update matplotlib to 3.9.1-post1 to fix win
 install

* chore: block matplotlib to fix installation in window machines

* chore: remove workaround, just update poetry.lock

* fix: update matplotlib to last version
---
 poetry.lock | 60 ++++++++++++++++++++++++++---------------------------
 1 file changed, 30 insertions(+), 30 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 4d6d699..2ff1186 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2901,40 +2901,40 @@ tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
 name = "matplotlib"
-version = "3.9.1"
+version = "3.9.1.post1"
 description = "Python plotting package"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "matplotlib-3.9.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:7ccd6270066feb9a9d8e0705aa027f1ff39f354c72a87efe8fa07632f30fc6bb"},
-    {file = "matplotlib-3.9.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:591d3a88903a30a6d23b040c1e44d1afdd0d778758d07110eb7596f811f31842"},
-    {file = "matplotlib-3.9.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd2a59ff4b83d33bca3b5ec58203cc65985367812cb8c257f3e101632be86d92"},
-    {file = "matplotlib-3.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fc001516ffcf1a221beb51198b194d9230199d6842c540108e4ce109ac05cc0"},
-    {file = "matplotlib-3.9.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:83c6a792f1465d174c86d06f3ae85a8fe36e6f5964633ae8106312ec0921fdf5"},
-    {file = "matplotlib-3.9.1-cp310-cp310-win_amd64.whl", hash = "sha256:421851f4f57350bcf0811edd754a708d2275533e84f52f6760b740766c6747a7"},
-    {file = "matplotlib-3.9.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:b3fce58971b465e01b5c538f9d44915640c20ec5ff31346e963c9e1cd66fa812"},
-    {file = "matplotlib-3.9.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a973c53ad0668c53e0ed76b27d2eeeae8799836fd0d0caaa4ecc66bf4e6676c0"},
-    {file = "matplotlib-3.9.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82cd5acf8f3ef43f7532c2f230249720f5dc5dd40ecafaf1c60ac8200d46d7eb"},
-    {file = "matplotlib-3.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab38a4f3772523179b2f772103d8030215b318fef6360cb40558f585bf3d017f"},
-    {file = "matplotlib-3.9.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:2315837485ca6188a4b632c5199900e28d33b481eb083663f6a44cfc8987ded3"},
-    {file = "matplotlib-3.9.1-cp311-cp311-win_amd64.whl", hash = "sha256:a0c977c5c382f6696caf0bd277ef4f936da7e2aa202ff66cad5f0ac1428ee15b"},
-    {file = "matplotlib-3.9.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:565d572efea2b94f264dd86ef27919515aa6d629252a169b42ce5f570db7f37b"},
-    {file = "matplotlib-3.9.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6d397fd8ccc64af2ec0af1f0efc3bacd745ebfb9d507f3f552e8adb689ed730a"},
-    {file = "matplotlib-3.9.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:26040c8f5121cd1ad712abffcd4b5222a8aec3a0fe40bc8542c94331deb8780d"},
-    {file = "matplotlib-3.9.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d12cb1837cffaac087ad6b44399d5e22b78c729de3cdae4629e252067b705e2b"},
-    {file = "matplotlib-3.9.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0e835c6988edc3d2d08794f73c323cc62483e13df0194719ecb0723b564e0b5c"},
-    {file = "matplotlib-3.9.1-cp312-cp312-win_amd64.whl", hash = "sha256:44a21d922f78ce40435cb35b43dd7d573cf2a30138d5c4b709d19f00e3907fd7"},
-    {file = "matplotlib-3.9.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:0c584210c755ae921283d21d01f03a49ef46d1afa184134dd0f95b0202ee6f03"},
-    {file = "matplotlib-3.9.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:11fed08f34fa682c2b792942f8902e7aefeed400da71f9e5816bea40a7ce28fe"},
-    {file = "matplotlib-3.9.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0000354e32efcfd86bda75729716b92f5c2edd5b947200be9881f0a671565c33"},
-    {file = "matplotlib-3.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4db17fea0ae3aceb8e9ac69c7e3051bae0b3d083bfec932240f9bf5d0197a049"},
-    {file = "matplotlib-3.9.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:208cbce658b72bf6a8e675058fbbf59f67814057ae78165d8a2f87c45b48d0ff"},
-    {file = "matplotlib-3.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:dc23f48ab630474264276be156d0d7710ac6c5a09648ccdf49fef9200d8cbe80"},
-    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:3fda72d4d472e2ccd1be0e9ccb6bf0d2eaf635e7f8f51d737ed7e465ac020cb3"},
-    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:84b3ba8429935a444f1fdc80ed930babbe06725bcf09fbeb5c8757a2cd74af04"},
-    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b918770bf3e07845408716e5bbda17eadfc3fcbd9307dc67f37d6cf834bb3d98"},
-    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:f1f2e5d29e9435c97ad4c36fb6668e89aee13d48c75893e25cef064675038ac9"},
-    {file = "matplotlib-3.9.1.tar.gz", hash = "sha256:de06b19b8db95dd33d0dc17c926c7c9ebed9f572074b6fac4f65068a6814d010"},
+    {file = "matplotlib-3.9.1.post1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3779ad3e8b72df22b8a622c5796bbcfabfa0069b835412e3c1dec8ee3de92d0c"},
+    {file = "matplotlib-3.9.1.post1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ec400340f8628e8e2260d679078d4e9b478699f386e5cc8094e80a1cb0039c7c"},
+    {file = "matplotlib-3.9.1.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82c18791b8862ea095081f745b81f896b011c5a5091678fb33204fef641476af"},
+    {file = "matplotlib-3.9.1.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:621a628389c09a6b9f609a238af8e66acecece1cfa12febc5fe4195114ba7446"},
+    {file = "matplotlib-3.9.1.post1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9a54734ca761ebb27cd4f0b6c2ede696ab6861052d7d7e7b8f7a6782665115f5"},
+    {file = "matplotlib-3.9.1.post1-cp310-cp310-win_amd64.whl", hash = "sha256:0721f93db92311bb514e446842e2b21c004541dcca0281afa495053e017c5458"},
+    {file = "matplotlib-3.9.1.post1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:b08b46058fe2a31ecb81ef6aa3611f41d871f6a8280e9057cb4016cb3d8e894a"},
+    {file = "matplotlib-3.9.1.post1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:22b344e84fcc574f561b5731f89a7625db8ef80cdbb0026a8ea855a33e3429d1"},
+    {file = "matplotlib-3.9.1.post1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b49fee26d64aefa9f061b575f0f7b5fc4663e51f87375c7239efa3d30d908fa"},
+    {file = "matplotlib-3.9.1.post1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89eb7e89e2b57856533c5c98f018aa3254fa3789fcd86d5f80077b9034a54c9a"},
+    {file = "matplotlib-3.9.1.post1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c06e742bade41fda6176d4c9c78c9ea016e176cd338e62a1686384cb1eb8de41"},
+    {file = "matplotlib-3.9.1.post1-cp311-cp311-win_amd64.whl", hash = "sha256:c44edab5b849e0fc1f1c9d6e13eaa35ef65925f7be45be891d9784709ad95561"},
+    {file = "matplotlib-3.9.1.post1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:bf28b09986aee06393e808e661c3466be9c21eff443c9bc881bce04bfbb0c500"},
+    {file = "matplotlib-3.9.1.post1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:92aeb8c439d4831510d8b9d5e39f31c16c7f37873879767c26b147cef61e54cd"},
+    {file = "matplotlib-3.9.1.post1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f15798b0691b45c80d3320358a88ce5a9d6f518b28575b3ea3ed31b4bd95d009"},
+    {file = "matplotlib-3.9.1.post1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d59fc6096da7b9c1df275f9afc3fef5cbf634c21df9e5f844cba3dd8deb1847d"},
+    {file = "matplotlib-3.9.1.post1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ab986817a32a70ce22302438691e7df4c6ee4a844d47289db9d583d873491e0b"},
+    {file = "matplotlib-3.9.1.post1-cp312-cp312-win_amd64.whl", hash = "sha256:0d78e7d2d86c4472da105d39aba9b754ed3dfeaeaa4ac7206b82706e0a5362fa"},
+    {file = "matplotlib-3.9.1.post1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:bd07eba6431b4dc9253cce6374a28c415e1d3a7dc9f8aba028ea7592f06fe172"},
+    {file = "matplotlib-3.9.1.post1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ca230cc4482010d646827bd2c6d140c98c361e769ae7d954ebf6fff2a226f5b1"},
+    {file = "matplotlib-3.9.1.post1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ace27c0fdeded399cbc43f22ffa76e0f0752358f5b33106ec7197534df08725a"},
+    {file = "matplotlib-3.9.1.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a4f3aeb7ba14c497dc6f021a076c48c2e5fbdf3da1e7264a5d649683e284a2f"},
+    {file = "matplotlib-3.9.1.post1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:23f96fbd4ff4cfa9b8a6b685a65e7eb3c2ced724a8d965995ec5c9c2b1f7daf5"},
+    {file = "matplotlib-3.9.1.post1-cp39-cp39-win_amd64.whl", hash = "sha256:2808b95452b4ffa14bfb7c7edffc5350743c31bda495f0d63d10fdd9bc69e895"},
+    {file = "matplotlib-3.9.1.post1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ffc91239f73b4179dec256b01299d46d0ffa9d27d98494bc1476a651b7821cbe"},
+    {file = "matplotlib-3.9.1.post1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:f965ebca9fd4feaaca45937c4849d92b70653057497181100fcd1e18161e5f29"},
+    {file = "matplotlib-3.9.1.post1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:801ee9323fd7b2da0d405aebbf98d1da77ea430bbbbbec6834c0b3af15e5db44"},
+    {file = "matplotlib-3.9.1.post1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:50113e9b43ceb285739f35d43db36aa752fb8154325b35d134ff6e177452f9ec"},
+    {file = "matplotlib-3.9.1.post1.tar.gz", hash = "sha256:c91e585c65092c975a44dc9d4239ba8c594ba3c193d7c478b6d178c4ef61f406"},
 ]
 
 [package.dependencies]

From 4ca6d0cb556be7a598f7d3e3b00d2a29214ee1e8 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Wed, 7 Aug 2024 12:16:03 +0200
Subject: [PATCH 19/33] fix: add numpy issue to troubleshooting (#2048)

* docs: add numpy issue to troubleshooting

* fix: troubleshooting link

...
---
 fern/docs/pages/installation/installation.mdx   | 10 ++++++----
 .../docs/pages/installation/troubleshooting.mdx | 17 ++++++++++++++++-
 2 files changed, 22 insertions(+), 5 deletions(-)

diff --git a/fern/docs/pages/installation/installation.mdx b/fern/docs/pages/installation/installation.mdx
index f7457b3..e7f80c8 100644
--- a/fern/docs/pages/installation/installation.mdx
+++ b/fern/docs/pages/installation/installation.mdx
@@ -307,11 +307,12 @@ If you have all required dependencies properly configured running the
 following powershell command should succeed.
 
 ```powershell
-$env:CMAKE_ARGS='-DLLAMA_CUBLAS=on'; poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python
+$env:CMAKE_ARGS='-DLLAMA_CUBLAS=on'; poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python numpy==1.26.0
 ```
 
 If your installation was correct, you should see a message similar to the following next
-time you start the server `BLAS = 1`.
+time you start the server `BLAS = 1`. If there is some issue, please refer to the
+[troubleshooting](/installation/getting-started/troubleshooting#building-llama-cpp-with-nvidia-gpu-support) section.
 
 ```console
 llama_new_context_with_model: total VRAM used: 4857.93 MB (model: 4095.05 MB, context: 762.87 MB)
@@ -339,11 +340,12 @@ Some tips:
 After that running the following command in the repository will install llama.cpp with GPU support:
 
 ```bash
-CMAKE_ARGS='-DLLAMA_CUBLAS=on' poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python
+CMAKE_ARGS='-DLLAMA_CUBLAS=on' poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python numpy==1.26.0
 ```
 
 If your installation was correct, you should see a message similar to the following next
-time you start the server `BLAS = 1`.
+time you start the server `BLAS = 1`. If there is some issue, please refer to the
+[troubleshooting](/installation/getting-started/troubleshooting#building-llama-cpp-with-nvidia-gpu-support) section.
 
 ```
 llama_new_context_with_model: total VRAM used: 4857.93 MB (model: 4095.05 MB, context: 762.87 MB)
diff --git a/fern/docs/pages/installation/troubleshooting.mdx b/fern/docs/pages/installation/troubleshooting.mdx
index dc99d6c..0b72526 100644
--- a/fern/docs/pages/installation/troubleshooting.mdx
+++ b/fern/docs/pages/installation/troubleshooting.mdx
@@ -46,4 +46,19 @@ huggingface:
 embedding:
   embed_dim: 384
 ```
-</Callout>
\ No newline at end of file
+</Callout>
+
+# Building Llama-cpp with NVIDIA GPU support
+
+## Out-of-memory error
+
+If you encounter an out-of-memory error while running `llama-cpp` with CUDA, you can try the following steps to resolve the issue:
+1. **Set the next environment:**
+    ```bash
+    TOKENIZERS_PARALLELISM=true
+    ```
+2. **Run PrivateGPT:**
+    ```bash
+    poetry run python -m privategpt
+    ```
+Give thanks to [MarioRossiGithub](https://github.com/MarioRossiGithub) for providing the following solution.
\ No newline at end of file

From b1acf9dc2cbca2047cd0087f13254ff5cda6e570 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Wed, 7 Aug 2024 17:39:32 +0200
Subject: [PATCH 20/33] fix: publish image name (#2043)

---
 .github/workflows/generate-release.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/generate-release.yml b/.github/workflows/generate-release.yml
index 82d08d0..36a95ad 100644
--- a/.github/workflows/generate-release.yml
+++ b/.github/workflows/generate-release.yml
@@ -7,7 +7,7 @@ on:
 
 env:
   REGISTRY: docker.io
-  IMAGE_NAME: ${{ github.repository }}
+  IMAGE_NAME: zylonai/private-gpt
   platforms: linux/amd64,linux/arm64
   DEFAULT_TYPE: "ollama"
 

From 7fefe408b4267684c6e3c1a43c5dc2b73ec61fe4 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Thu, 8 Aug 2024 16:50:42 +0200
Subject: [PATCH 21/33] fix: auto-update version (#2052)

---
 .../.release-please-config.json               | 19 +++++++++++++++++++
 .../.release-please-manifest.json             |  3 +++
 .github/workflows/release-please.yml          |  7 ++++---
 docker-compose.yaml                           |  4 ++--
 4 files changed, 28 insertions(+), 5 deletions(-)
 create mode 100644 .github/release_please/.release-please-config.json
 create mode 100644 .github/release_please/.release-please-manifest.json

diff --git a/.github/release_please/.release-please-config.json b/.github/release_please/.release-please-config.json
new file mode 100644
index 0000000..97f3170
--- /dev/null
+++ b/.github/release_please/.release-please-config.json
@@ -0,0 +1,19 @@
+{
+    "$schema": "https://raw.githubusercontent.com/googleapis/release-please/main/schemas/config.json",
+    "release-type": "simple",
+    "version-file": "version.txt",
+    "extra-files": [
+      {
+        "type": "toml",
+        "path": "pyproject.toml",
+        "jsonpath": "$.tool.poetry.version"
+      },
+      {
+        "type": "generic",
+        "path": "docker-compose.yaml"
+      }
+    ],
+    "packages": {
+      ".": {}
+    }
+  }
\ No newline at end of file
diff --git a/.github/release_please/.release-please-manifest.json b/.github/release_please/.release-please-manifest.json
new file mode 100644
index 0000000..ac03171
--- /dev/null
+++ b/.github/release_please/.release-please-manifest.json
@@ -0,0 +1,3 @@
+{
+  ".": "0.6.1"
+}
\ No newline at end of file
diff --git a/.github/workflows/release-please.yml b/.github/workflows/release-please.yml
index b7b74e0..1e3f05c 100644
--- a/.github/workflows/release-please.yml
+++ b/.github/workflows/release-please.yml
@@ -13,7 +13,8 @@ jobs:
   release-please:
     runs-on: ubuntu-latest
     steps:
-      - uses: google-github-actions/release-please-action@v3
+      - uses: google-github-actions/release-please-action@v4
+        id: release
         with:
-          release-type: simple
-          version-file: version.txt
\ No newline at end of file
+          config-file: .github/release_please/.release-please-config.json
+          manifest-file: .github/release_please/.release-please-manifest.json
diff --git a/docker-compose.yaml b/docker-compose.yaml
index a5df464..1698605 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -7,7 +7,7 @@ services:
   # Private-GPT service for the Ollama CPU and GPU modes
   # This service builds from an external Dockerfile and runs the Ollama mode.
   private-gpt-ollama:
-    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-ollama
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-ollama  # x-release-please-version
     build:
       context: .
       dockerfile: Dockerfile.ollama
@@ -31,7 +31,7 @@ services:
   # Private-GPT service for the local mode
   # This service builds from a local Dockerfile and runs the application in local mode.
   private-gpt-llamacpp-cpu:
-    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-llamacpp-cpu
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-llamacpp-cpu # x-release-please-version
     build:
       context: .
       dockerfile: Dockerfile.llamacpp-cpu

From 22904ca8ad1b812f7e2e448432b3bca5941808ac Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 8 Aug 2024 18:16:41 +0200
Subject: [PATCH 22/33] chore(main): release 0.6.2 (#2049)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
---
 .github/release_please/.release-please-manifest.json |  2 +-
 CHANGELOG.md                                         | 10 ++++++++++
 docker-compose.yaml                                  |  4 ++--
 pyproject.toml                                       |  2 +-
 version.txt                                          |  2 +-
 5 files changed, 15 insertions(+), 5 deletions(-)

diff --git a/.github/release_please/.release-please-manifest.json b/.github/release_please/.release-please-manifest.json
index ac03171..e3778b2 100644
--- a/.github/release_please/.release-please-manifest.json
+++ b/.github/release_please/.release-please-manifest.json
@@ -1,3 +1,3 @@
 {
-  ".": "0.6.1"
+  ".": "0.6.2"
 }
\ No newline at end of file
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 34362b0..e37d341 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,15 @@
 # Changelog
 
+## [0.6.2](https://github.com/zylon-ai/private-gpt/compare/v0.6.1...v0.6.2) (2024-08-08)
+
+
+### Bug Fixes
+
+* add numpy issue to troubleshooting ([#2048](https://github.com/zylon-ai/private-gpt/issues/2048)) ([4ca6d0c](https://github.com/zylon-ai/private-gpt/commit/4ca6d0cb556be7a598f7d3e3b00d2a29214ee1e8))
+* auto-update version ([#2052](https://github.com/zylon-ai/private-gpt/issues/2052)) ([7fefe40](https://github.com/zylon-ai/private-gpt/commit/7fefe408b4267684c6e3c1a43c5dc2b73ec61fe4))
+* publish image name ([#2043](https://github.com/zylon-ai/private-gpt/issues/2043)) ([b1acf9d](https://github.com/zylon-ai/private-gpt/commit/b1acf9dc2cbca2047cd0087f13254ff5cda6e570))
+* update matplotlib to 3.9.1-post1 to fix win install ([b16abbe](https://github.com/zylon-ai/private-gpt/commit/b16abbefe49527ac038d235659854b98345d5387))
+
 ## [0.6.1](https://github.com/zylon-ai/private-gpt/compare/v0.6.0...v0.6.1) (2024-08-05)
 
 
diff --git a/docker-compose.yaml b/docker-compose.yaml
index 1698605..be0ee63 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -7,7 +7,7 @@ services:
   # Private-GPT service for the Ollama CPU and GPU modes
   # This service builds from an external Dockerfile and runs the Ollama mode.
   private-gpt-ollama:
-    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-ollama  # x-release-please-version
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.2}-ollama  # x-release-please-version
     build:
       context: .
       dockerfile: Dockerfile.ollama
@@ -31,7 +31,7 @@ services:
   # Private-GPT service for the local mode
   # This service builds from a local Dockerfile and runs the application in local mode.
   private-gpt-llamacpp-cpu:
-    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-llamacpp-cpu # x-release-please-version
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.2}-llamacpp-cpu # x-release-please-version
     build:
       context: .
       dockerfile: Dockerfile.llamacpp-cpu
diff --git a/pyproject.toml b/pyproject.toml
index 10e3c2b..f3912b1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "private-gpt"
-version = "0.6.0"
+version = "0.6.2"
 description = "Private GPT"
 authors = ["Zylon <hi@zylon.ai>"]
 
diff --git a/version.txt b/version.txt
index ee6cdce..b616048 100644
--- a/version.txt
+++ b/version.txt
@@ -1 +1 @@
-0.6.1
+0.6.2

From 89477ea9d3a83181b0222b732a81c71db9edf142 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Mon, 12 Aug 2024 08:23:16 +0200
Subject: [PATCH 23/33] fix: naming image and ollama-cpu (#2056)

---
 docker-compose.yaml | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/docker-compose.yaml b/docker-compose.yaml
index be0ee63..c2ef0f6 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -7,7 +7,7 @@ services:
   # Private-GPT service for the Ollama CPU and GPU modes
   # This service builds from an external Dockerfile and runs the Ollama mode.
   private-gpt-ollama:
-    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.2}-ollama  # x-release-please-version
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}:${PGPT_TAG:-0.6.2}-ollama  # x-release-please-version
     build:
       context: .
       dockerfile: Dockerfile.ollama
@@ -31,7 +31,7 @@ services:
   # Private-GPT service for the local mode
   # This service builds from a local Dockerfile and runs the application in local mode.
   private-gpt-llamacpp-cpu:
-    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.2}-llamacpp-cpu # x-release-please-version
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}:${PGPT_TAG:-0.6.2}-llamacpp-cpu # x-release-please-version
     build:
       context: .
       dockerfile: Dockerfile.llamacpp-cpu
@@ -57,7 +57,6 @@ services:
   ollama:
     image: traefik:v2.10
     ports:
-      - "11435:11434"
       - "8081:8080"
     command:
       - "--providers.file.filename=/etc/router.yml"
@@ -84,7 +83,7 @@ services:
       - ./models:/root/.ollama
     profiles:
       - ""
-      - ollama
+      - ollama-cpu
 
   # Ollama service for the CUDA mode
   ollama-cuda:

From 7603b3627d91aed1cce2e1ae407fec11ca1ad132 Mon Sep 17 00:00:00 2001
From: Artur Martins <arturmartins@gmail.com>
Date: Wed, 21 Aug 2024 09:39:58 +0100
Subject: [PATCH 24/33] fix: Rectify ffmpy poetry config; update version from
 0.3.2 to 0.4.0 (#2062)

* Fix: Rectify ffmpy 0.3.2 poetry config

* keep optional set to false for ffmpy

* Updating ffmpy to version 0.4.0

* Remove comment about a fix
---
 poetry.lock    | 22 ++++++++++------------
 pyproject.toml |  3 +--
 2 files changed, 11 insertions(+), 14 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 2ff1186..df76533 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1248,18 +1248,14 @@ standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
 
 [[package]]
 name = "ffmpy"
-version = "0.3.2"
-description = "A simple Python wrapper for ffmpeg"
+version = "0.4.0"
+description = "A simple Python wrapper for FFmpeg"
 optional = true
-python-versions = "*"
-files = []
-develop = false
-
-[package.source]
-type = "git"
-url = "https://github.com/EuDs63/ffmpy.git"
-reference = "333a19ee4d21f32537c0508aa1942ef1aa7afe24"
-resolved_reference = "333a19ee4d21f32537c0508aa1942ef1aa7afe24"
+python-versions = "<4.0.0,>=3.8.1"
+files = [
+    {file = "ffmpy-0.4.0-py3-none-any.whl", hash = "sha256:39c0f20c5b465e7f8d29a5191f3a7d7675a8c546d9d985de8921151cd9b59e14"},
+    {file = "ffmpy-0.4.0.tar.gz", hash = "sha256:131b57794e802ad555f579007497f7a3d0cab0583d37496c685b8acae4837b1d"},
+]
 
 [[package]]
 name = "filelock"
@@ -3854,6 +3850,8 @@ files = [
     {file = "orjson-3.10.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:960db0e31c4e52fa0fc3ecbaea5b2d3b58f379e32a95ae6b0ebeaa25b93dfd34"},
     {file = "orjson-3.10.6-cp312-none-win32.whl", hash = "sha256:a6ea7afb5b30b2317e0bee03c8d34c8181bc5a36f2afd4d0952f378972c4efd5"},
     {file = "orjson-3.10.6-cp312-none-win_amd64.whl", hash = "sha256:874ce88264b7e655dde4aeaacdc8fd772a7962faadfb41abe63e2a4861abc3dc"},
+    {file = "orjson-3.10.6-cp313-none-win32.whl", hash = "sha256:efdf2c5cde290ae6b83095f03119bdc00303d7a03b42b16c54517baa3c4ca3d0"},
+    {file = "orjson-3.10.6-cp313-none-win_amd64.whl", hash = "sha256:8e190fe7888e2e4392f52cafb9626113ba135ef53aacc65cd13109eb9746c43e"},
     {file = "orjson-3.10.6-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:66680eae4c4e7fc193d91cfc1353ad6d01b4801ae9b5314f17e11ba55e934183"},
     {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:caff75b425db5ef8e8f23af93c80f072f97b4fb3afd4af44482905c9f588da28"},
     {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3722fddb821b6036fd2a3c814f6bd9b57a89dc6337b9924ecd614ebce3271394"},
@@ -6693,4 +6691,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "25abbb45bc462dbf056b83c0925b505ad1232484a18e50f07c5e7f517dd84e6f"
+content-hash = "2eaa56bf185723ad028f5221675f1ee070bc70ba7d606ebe28dcfe276a3c9dca"
diff --git a/pyproject.toml b/pyproject.toml
index f3912b1..17a7c69 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -56,8 +56,7 @@ sentence-transformers = {version ="^3.0.1", optional = true}
 
 # Optional UI
 gradio = {version ="^4.37.2", optional = true}
-# Fix: https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/16289#issuecomment-2255106490
-ffmpy = {git = "https://github.com/EuDs63/ffmpy.git", rev = "333a19ee4d21f32537c0508aa1942ef1aa7afe24", optional = true}
+ffmpy = "0.4.0"
 
 # Optional Google Gemini dependency
 google-generativeai = {version ="^0.5.4", optional = true}

From 42628596b28efccaef9d1b39fa94e6d47ba397be Mon Sep 17 00:00:00 2001
From: Trivikram Kamat <16024985+trivikr@users.noreply.github.com>
Date: Sun, 8 Sep 2024 23:53:13 -0700
Subject: [PATCH 25/33] ci: bump actions/checkout to v4 (#2077)

---
 .github/workflows/tests.yml | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 6a450cb..ad8450d 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -14,7 +14,7 @@ jobs:
   setup:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v4
       - uses: ./.github/workflows/actions/install_dependencies
 
   checks:
@@ -28,7 +28,7 @@ jobs:
           - ruff
           - mypy
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v4
       - uses: ./.github/workflows/actions/install_dependencies
       - name: run ${{ matrix.quality-command }}
         run: make ${{ matrix.quality-command }}
@@ -38,7 +38,7 @@ jobs:
     runs-on: ubuntu-latest
     name: test
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v4
       - uses: ./.github/workflows/actions/install_dependencies
       - name: run test
         run: make test-coverage

From 77461b96cf2e18b88b592fff441206a49826db97 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Mon, 16 Sep 2024 16:43:05 +0200
Subject: [PATCH 26/33] feat: add retry connection to ollama (#2084)

* feat: add retry connection to ollama

When Ollama is running in the docker-compose, traefik is not ready sometimes to route the request, and it fails

* fix: mypy
---
 poetry.lock                 | 31 +++++++++++++++++++++++++++----
 private_gpt/utils/ollama.py | 19 +++++++++++++++++--
 private_gpt/utils/retry.py  | 31 +++++++++++++++++++++++++++++++
 pyproject.toml              |  1 +
 4 files changed, 76 insertions(+), 6 deletions(-)
 create mode 100644 private_gpt/utils/retry.py

diff --git a/poetry.lock b/poetry.lock
index df76533..8310e1e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1060,6 +1060,17 @@ files = [
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
+    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+]
+
 [[package]]
 name = "deprecated"
 version = "1.2.14"
@@ -1250,7 +1261,7 @@ standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
 name = "ffmpy"
 version = "0.4.0"
 description = "A simple Python wrapper for FFmpeg"
-optional = true
+optional = false
 python-versions = "<4.0.0,>=3.8.1"
 files = [
     {file = "ffmpy-0.4.0-py3-none-any.whl", hash = "sha256:39c0f20c5b465e7f8d29a5191f3a7d7675a8c546d9d985de8921151cd9b59e14"},
@@ -3850,8 +3861,6 @@ files = [
     {file = "orjson-3.10.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:960db0e31c4e52fa0fc3ecbaea5b2d3b58f379e32a95ae6b0ebeaa25b93dfd34"},
     {file = "orjson-3.10.6-cp312-none-win32.whl", hash = "sha256:a6ea7afb5b30b2317e0bee03c8d34c8181bc5a36f2afd4d0952f378972c4efd5"},
     {file = "orjson-3.10.6-cp312-none-win_amd64.whl", hash = "sha256:874ce88264b7e655dde4aeaacdc8fd772a7962faadfb41abe63e2a4861abc3dc"},
-    {file = "orjson-3.10.6-cp313-none-win32.whl", hash = "sha256:efdf2c5cde290ae6b83095f03119bdc00303d7a03b42b16c54517baa3c4ca3d0"},
-    {file = "orjson-3.10.6-cp313-none-win_amd64.whl", hash = "sha256:8e190fe7888e2e4392f52cafb9626113ba135ef53aacc65cd13109eb9746c43e"},
     {file = "orjson-3.10.6-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:66680eae4c4e7fc193d91cfc1353ad6d01b4801ae9b5314f17e11ba55e934183"},
     {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:caff75b425db5ef8e8f23af93c80f072f97b4fb3afd4af44482905c9f588da28"},
     {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3722fddb821b6036fd2a3c814f6bd9b57a89dc6337b9924ecd614ebce3271394"},
@@ -4970,6 +4979,20 @@ requests = ">=2.0.0"
 [package.extras]
 rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
+[[package]]
+name = "retry-async"
+version = "0.1.4"
+description = ""
+optional = false
+python-versions = ">=3.10,<4.0"
+files = [
+    {file = "retry_async-0.1.4-py3-none-any.whl", hash = "sha256:21b383c7bc52013478337b894f476c9f106485cfeeb5d449abe5f745be2da219"},
+    {file = "retry_async-0.1.4.tar.gz", hash = "sha256:8414d69b20920a1d700de34b68c0f972fa36a0158450a6f6abc5b45a241ac6b6"},
+]
+
+[package.dependencies]
+decorator = ">=5.1.1,<6.0.0"
+
 [[package]]
 name = "rich"
 version = "13.7.1"
@@ -6691,4 +6714,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "2eaa56bf185723ad028f5221675f1ee070bc70ba7d606ebe28dcfe276a3c9dca"
+content-hash = "45264d80672084e35ca0ea11b368a29001a3b9003822bddc67fb18489a8fe519"
diff --git a/private_gpt/utils/ollama.py b/private_gpt/utils/ollama.py
index 9c75a87..da9107b 100644
--- a/private_gpt/utils/ollama.py
+++ b/private_gpt/utils/ollama.py
@@ -3,10 +3,13 @@ from collections import deque
 from collections.abc import Iterator, Mapping
 from typing import Any
 
+from httpx import ConnectError
 from tqdm import tqdm  # type: ignore
 
+from private_gpt.utils.retry import retry
+
 try:
-    from ollama import Client  # type: ignore
+    from ollama import Client, ResponseError  # type: ignore
 except ImportError as e:
     raise ImportError(
         "Ollama dependencies not found, install with `poetry install --extras llms-ollama or embeddings-ollama`"
@@ -14,13 +17,25 @@ except ImportError as e:
 
 logger = logging.getLogger(__name__)
 
+_MAX_RETRIES = 5
+_JITTER = (3.0, 10.0)
 
+
+@retry(
+    is_async=False,
+    exceptions=(ConnectError, ResponseError),
+    tries=_MAX_RETRIES,
+    jitter=_JITTER,
+    logger=logger,
+)
 def check_connection(client: Client) -> bool:
     try:
         client.list()
         return True
+    except (ConnectError, ResponseError) as e:
+        raise e
     except Exception as e:
-        logger.error(f"Failed to connect to Ollama: {e!s}")
+        logger.error(f"Failed to connect to Ollama: {type(e).__name__}: {e!s}")
         return False
 
 
diff --git a/private_gpt/utils/retry.py b/private_gpt/utils/retry.py
new file mode 100644
index 0000000..614b680
--- /dev/null
+++ b/private_gpt/utils/retry.py
@@ -0,0 +1,31 @@
+import logging
+from collections.abc import Callable
+from typing import Any
+
+from retry_async import retry as retry_untyped  # type: ignore
+
+retry_logger = logging.getLogger(__name__)
+
+
+def retry(
+    exceptions: Any = Exception,
+    *,
+    is_async: bool = False,
+    tries: int = -1,
+    delay: float = 0,
+    max_delay: float | None = None,
+    backoff: float = 1,
+    jitter: float | tuple[float, float] = 0,
+    logger: logging.Logger = retry_logger,
+) -> Callable[..., Any]:
+    wrapped = retry_untyped(
+        exceptions=exceptions,
+        is_async=is_async,
+        tries=tries,
+        delay=delay,
+        max_delay=max_delay,
+        backoff=backoff,
+        jitter=jitter,
+        logger=logger,
+    )
+    return wrapped  # type: ignore
diff --git a/pyproject.toml b/pyproject.toml
index 17a7c69..da9fab8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -66,6 +66,7 @@ ollama = {version ="^0.3.0", optional = true}
 
 # Optional HF Transformers
 einops = {version = "^0.8.0", optional = true}
+retry-async = "^0.1.4"
 
 [tool.poetry.extras]
 ui = ["gradio", "ffmpy"]

From 8c12c6830b37851cccb3fea75faa820fce49284a Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Tue, 24 Sep 2024 08:30:58 +0200
Subject: [PATCH 27/33] fix: docker permissions (#2059)

* fix: missing depends_on

* chore: update copy permissions

* chore: update entrypoint

* Revert "chore: update entrypoint"

This reverts commit f73a36af2f3b8b385f99a84d0eb020899f3e0e80.

* Revert "chore: update copy permissions"

This reverts commit fabc3f66bba9bd066a3f67bcaf5f9bfb5f6e031b.

* style: fix docker warning

* fix: multiples fixes

* fix: user permissions writing local_data folder
---
 Dockerfile.llamacpp-cpu |  6 +++---
 Dockerfile.ollama       |  6 +++---
 docker-compose.yaml     | 12 ++++++++----
 3 files changed, 14 insertions(+), 10 deletions(-)

diff --git a/Dockerfile.llamacpp-cpu b/Dockerfile.llamacpp-cpu
index fce9915..feab165 100644
--- a/Dockerfile.llamacpp-cpu
+++ b/Dockerfile.llamacpp-cpu
@@ -1,6 +1,6 @@
 ### IMPORTANT, THIS IMAGE CAN ONLY BE RUN IN LINUX DOCKER
 ### You will run into a segfault in mac
-FROM python:3.11.6-slim-bookworm as base
+FROM python:3.11.6-slim-bookworm AS base
 
 # Install poetry
 RUN pip install pipx
@@ -20,14 +20,14 @@ RUN apt update && apt install -y \
 # https://python-poetry.org/docs/configuration/#virtualenvsin-project
 ENV POETRY_VIRTUALENVS_IN_PROJECT=true
 
-FROM base as dependencies
+FROM base AS dependencies
 WORKDIR /home/worker/app
 COPY pyproject.toml poetry.lock ./
 
 ARG POETRY_EXTRAS="ui embeddings-huggingface llms-llama-cpp vector-stores-qdrant"
 RUN poetry install --no-root --extras "${POETRY_EXTRAS}"
 
-FROM base as app
+FROM base AS app
 
 ENV PYTHONUNBUFFERED=1
 ENV PORT=8080
diff --git a/Dockerfile.ollama b/Dockerfile.ollama
index 5a8b73a..83fd129 100644
--- a/Dockerfile.ollama
+++ b/Dockerfile.ollama
@@ -1,4 +1,4 @@
-FROM python:3.11.6-slim-bookworm as base
+FROM python:3.11.6-slim-bookworm AS base
 
 # Install poetry
 RUN pip install pipx
@@ -10,14 +10,14 @@ ENV PATH=".venv/bin/:$PATH"
 # https://python-poetry.org/docs/configuration/#virtualenvsin-project
 ENV POETRY_VIRTUALENVS_IN_PROJECT=true
 
-FROM base as dependencies
+FROM base AS dependencies
 WORKDIR /home/worker/app
 COPY pyproject.toml poetry.lock ./
 
 ARG POETRY_EXTRAS="ui vector-stores-qdrant llms-ollama embeddings-ollama"
 RUN poetry install --no-root --extras "${POETRY_EXTRAS}"
 
-FROM base as app
+FROM base AS app
 ENV PYTHONUNBUFFERED=1
 ENV PORT=8080
 ENV APP_ENV=prod
diff --git a/docker-compose.yaml b/docker-compose.yaml
index c2ef0f6..2d6dff2 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -8,11 +8,12 @@ services:
   # This service builds from an external Dockerfile and runs the Ollama mode.
   private-gpt-ollama:
     image: ${PGPT_IMAGE:-zylonai/private-gpt}:${PGPT_TAG:-0.6.2}-ollama  # x-release-please-version
+    user: root
     build:
       context: .
       dockerfile: Dockerfile.ollama
     volumes:
-      - ./local_data/:/home/worker/app/local_data
+      - ./local_data:/home/worker/app/local_data
     ports:
       - "8001:8001"
     environment:
@@ -27,11 +28,14 @@ services:
       - ollama-cpu
       - ollama-cuda
       - ollama-api
+    depends_on:
+      - ollama
 
   # Private-GPT service for the local mode
   # This service builds from a local Dockerfile and runs the application in local mode.
   private-gpt-llamacpp-cpu:
     image: ${PGPT_IMAGE:-zylonai/private-gpt}:${PGPT_TAG:-0.6.2}-llamacpp-cpu # x-release-please-version
+    user: root
     build:
       context: .
       dockerfile: Dockerfile.llamacpp-cpu
@@ -44,7 +48,7 @@ services:
     environment:
       PORT: 8001
       PGPT_PROFILES: local
-      HF_TOKEN: ${HF_TOKEN}
+      HF_TOKEN: ${HF_TOKEN:-}
     profiles:
       - llamacpp-cpu
 
@@ -57,7 +61,7 @@ services:
   ollama:
     image: traefik:v2.10
     ports:
-      - "8081:8080"
+      - "11434:11434"
     command:
       - "--providers.file.filename=/etc/router.yml"
       - "--log.level=ERROR"
@@ -98,4 +102,4 @@ services:
               count: 1
               capabilities: [gpu]
     profiles:
-      - ollama-cuda
\ No newline at end of file
+      - ollama-cuda

From f9182b3a86d88af7c699b41b3a5f21401117acfc Mon Sep 17 00:00:00 2001
From: Liam Dowd <101684827+itsliamdowd@users.noreply.github.com>
Date: Tue, 24 Sep 2024 07:31:30 +0100
Subject: [PATCH 28/33] feat: Adding MistralAI mode (#2065)

* Adding MistralAI mode

* Update embedding_component.py

* Update ui.py

* Update settings.py

* Update embedding_component.py

* Update settings.py

* Update settings.py

* Update settings-mistral.yaml

* Update llm_component.py

* Update settings-mistral.yaml

* Update settings.py

* Update settings.py

* Update ui.py

* Update embedding_component.py

* Delete settings-mistral.yaml

---------

Co-authored-by: SkiingIsFun123 <101684827+SkiingIsFun123@users.noreply.github.com>
Co-authored-by: Javier Martinez <javiermartinezalvarez98@gmail.com>
---
 poetry.lock                                   | 50 ++++++++++++++++++-
 .../embedding/embedding_component.py          | 17 +++++++
 private_gpt/settings/settings.py              |  9 +++-
 pyproject.toml                                |  2 +
 4 files changed, 76 insertions(+), 2 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 8310e1e..25e0bbd 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2238,6 +2238,17 @@ files = [
     {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
 ]
 
+[[package]]
+name = "jsonpath-python"
+version = "1.0.6"
+description = "A more powerful JSONPath implementation in modern python"
+optional = true
+python-versions = ">=3.6"
+files = [
+    {file = "jsonpath-python-1.0.6.tar.gz", hash = "sha256:dd5be4a72d8a2995c3f583cf82bf3cd1a9544cfdabf2d22595b67aff07349666"},
+    {file = "jsonpath_python-1.0.6-py3-none-any.whl", hash = "sha256:1e3b78df579f5efc23565293612decee04214609208a2335884b3ee3f786b575"},
+]
+
 [[package]]
 name = "kiwisolver"
 version = "1.4.5"
@@ -2481,6 +2492,21 @@ huggingface-hub = {version = ">=0.19.0", extras = ["inference"]}
 llama-index-core = ">=0.10.1,<0.11.0"
 sentence-transformers = ">=2.6.1"
 
+[[package]]
+name = "llama-index-embeddings-mistralai"
+version = "0.1.6"
+description = "llama-index embeddings mistralai integration"
+optional = true
+python-versions = "<4.0,>=3.9"
+files = [
+    {file = "llama_index_embeddings_mistralai-0.1.6-py3-none-any.whl", hash = "sha256:d69d6fc0be8a1772aaf890bc036f2d575af46070b375a2649803c0eb9736ea1b"},
+    {file = "llama_index_embeddings_mistralai-0.1.6.tar.gz", hash = "sha256:7c9cbf974b1e7d14ded34d3eb749a0d1a379fb151ab75115cc1ffdd08a96a045"},
+]
+
+[package.dependencies]
+llama-index-core = ">=0.10.1,<0.11.0"
+mistralai = ">=1.0.0"
+
 [[package]]
 name = "llama-index-embeddings-ollama"
 version = "0.1.2"
@@ -3002,6 +3028,27 @@ files = [
     {file = "minijinja-2.0.1.tar.gz", hash = "sha256:e774beffebfb8a1ad17e638ef70917cf5e94593f79acb8a8fff7d983169f3a4e"},
 ]
 
+[[package]]
+name = "mistralai"
+version = "1.0.3"
+description = "Python Client SDK for the Mistral AI API."
+optional = true
+python-versions = "<4.0,>=3.8"
+files = [
+    {file = "mistralai-1.0.3-py3-none-any.whl", hash = "sha256:64af7c9192e64dc66b2da6d1c4d54a1324a881c21665a2f93d6b35d9de9f87c8"},
+    {file = "mistralai-1.0.3.tar.gz", hash = "sha256:84f1a217666c76fec9d477ae266399b813c3ac32a4a348d2ecd5fe1c039b0667"},
+]
+
+[package.dependencies]
+httpx = ">=0.27.0,<0.28.0"
+jsonpath-python = ">=1.0.6,<2.0.0"
+pydantic = ">=2.8.2,<2.9.0"
+python-dateutil = ">=2.9.0.post0,<3.0.0"
+typing-inspect = ">=0.9.0,<0.10.0"
+
+[package.extras]
+gcp = ["google-auth (==2.27.0)", "requests (>=2.32.3,<3.0.0)"]
+
 [[package]]
 name = "mmh3"
 version = "4.1.0"
@@ -6692,6 +6739,7 @@ cffi = ["cffi (>=1.11)"]
 embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
 embeddings-gemini = ["llama-index-embeddings-gemini"]
 embeddings-huggingface = ["einops", "llama-index-embeddings-huggingface"]
+embeddings-mistral = ["llama-index-embeddings-mistralai"]
 embeddings-ollama = ["llama-index-embeddings-ollama", "ollama"]
 embeddings-openai = ["llama-index-embeddings-openai"]
 embeddings-sagemaker = ["boto3"]
@@ -6714,4 +6762,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "45264d80672084e35ca0ea11b368a29001a3b9003822bddc67fb18489a8fe519"
+content-hash = "3fa6ef447847895b1a16b8b0422dd9e4fda1aaaadef3af71971eb412da89bf67"
diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py
index 5d3e997..b55cef8 100644
--- a/private_gpt/components/embedding/embedding_component.py
+++ b/private_gpt/components/embedding/embedding_component.py
@@ -144,6 +144,23 @@ class EmbeddingComponent:
                     api_key=settings.gemini.api_key,
                     model_name=settings.gemini.embedding_model,
                 )
+            case "mistralai":
+                try:
+                    from llama_index.embeddings.mistralai import (  # type: ignore
+                        MistralAIEmbedding,
+                    )
+                except ImportError as e:
+                    raise ImportError(
+                        "Mistral dependencies not found, install with `poetry install --extras embeddings-mistral`"
+                    ) from e
+
+                api_key = settings.openai.api_key
+                model = settings.openai.embedding_model
+
+                self.embedding_model = MistralAIEmbedding(
+                    api_key=api_key,
+                    model=model,
+                )
             case "mock":
                 # Not a random number, is the dimensionality used by
                 # the default embedding model
diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index 4cf192a..9b4238d 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -197,7 +197,14 @@ class HuggingFaceSettings(BaseModel):
 
 class EmbeddingSettings(BaseModel):
     mode: Literal[
-        "huggingface", "openai", "azopenai", "sagemaker", "ollama", "mock", "gemini"
+        "huggingface",
+        "openai",
+        "azopenai",
+        "sagemaker",
+        "ollama",
+        "mock",
+        "gemini",
+        "mistralai",
     ]
     ingest_mode: Literal["simple", "batch", "parallel", "pipeline"] = Field(
         "simple",
diff --git a/pyproject.toml b/pyproject.toml
index da9fab8..afbb83c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,6 +30,7 @@ llama-index-embeddings-huggingface = {version ="^0.2.2", optional = true}
 llama-index-embeddings-openai = {version ="^0.1.10", optional = true}
 llama-index-embeddings-azure-openai = {version ="^0.1.10", optional = true}
 llama-index-embeddings-gemini = {version ="^0.1.8", optional = true}
+llama-index-embeddings-mistralai = {version ="^0.1.6", optional = true}
 llama-index-vector-stores-qdrant = {version ="^0.2.10", optional = true}
 llama-index-vector-stores-milvus = {version ="^0.1.20", optional = true}
 llama-index-vector-stores-chroma = {version ="^0.1.10", optional = true}
@@ -83,6 +84,7 @@ embeddings-openai = ["llama-index-embeddings-openai"]
 embeddings-sagemaker = ["boto3"]
 embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
 embeddings-gemini = ["llama-index-embeddings-gemini"]
+embeddings-mistral = ["llama-index-embeddings-mistralai"]
 vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 vector-stores-clickhouse = ["llama-index-vector-stores-clickhouse", "clickhouse_connect"]
 vector-stores-chroma = ["llama-index-vector-stores-chroma"]

From fa3c30661d2ab04634361e20e7819365e3dd351a Mon Sep 17 00:00:00 2001
From: J <jdmb.dev@gmail.com>
Date: Tue, 24 Sep 2024 02:33:02 -0400
Subject: [PATCH 29/33] fix: Add default mode option to settings (#2078)

* Add default mode option to settings

* Revise default_mode to Literal (enum) and add to settings.yaml

* Revise to pass make check/test

* Default mode: RAG

---------

Co-authored-by: Jason <jason@sowinsight.solutions>
---
 private_gpt/settings/settings.py |  4 ++++
 private_gpt/ui/ui.py             |  9 ++++++---
 settings.yaml                    | 14 ++++++++------
 3 files changed, 18 insertions(+), 9 deletions(-)

diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index 9b4238d..abe5662 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -357,6 +357,10 @@ class AzureOpenAISettings(BaseModel):
 class UISettings(BaseModel):
     enabled: bool
     path: str
+    default_mode: Literal["RAG", "Search", "Basic", "Summarize"] = Field(
+        "RAG",
+        description="The default mode.",
+    )
     default_chat_system_prompt: str = Field(
         None,
         description="The default system prompt to use for the chat mode.",
diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py
index 2c1dcd3..04258ac 100644
--- a/private_gpt/ui/ui.py
+++ b/private_gpt/ui/ui.py
@@ -99,8 +99,11 @@ class PrivateGptUi:
         self._selected_filename = None
 
         # Initialize system prompt based on default mode
-        self.mode = MODES[0]
-        self._system_prompt = self._get_default_system_prompt(self.mode)
+        default_mode_map = {mode.value: mode for mode in Modes}
+        self._default_mode = default_mode_map.get(
+            settings().ui.default_mode, Modes.RAG_MODE
+        )
+        self._system_prompt = self._get_default_system_prompt(self._default_mode)
 
     def _chat(
         self, message: str, history: list[list[str]], mode: Modes, *_: Any
@@ -390,7 +393,7 @@ class PrivateGptUi:
 
             with gr.Row(equal_height=False):
                 with gr.Column(scale=3):
-                    default_mode = MODES[0]
+                    default_mode = self._default_mode
                     mode = gr.Radio(
                         [mode.value for mode in MODES],
                         label="Mode",
diff --git a/settings.yaml b/settings.yaml
index f030604..eda1af8 100644
--- a/settings.yaml
+++ b/settings.yaml
@@ -25,21 +25,23 @@ data:
 ui:
   enabled: true
   path: /
+  # "RAG", "Search", "Basic", or "Summarize"
+  default_mode: "RAG"
   default_chat_system_prompt: >
-    You are a helpful, respectful and honest assistant. 
+    You are a helpful, respectful and honest assistant.
     Always answer as helpfully as possible and follow ALL given instructions.
     Do not speculate or make up information.
     Do not reference any given instructions or context.
   default_query_system_prompt: >
-    You can only answer questions about the provided context. 
-    If you know the answer but it is not based in the provided context, don't provide 
+    You can only answer questions about the provided context.
+    If you know the answer but it is not based in the provided context, don't provide
     the answer, just state the answer is not in the context provided.
   default_summarization_system_prompt: >
-    Provide a comprehensive summary of the provided context information. 
+    Provide a comprehensive summary of the provided context information.
     The summary should cover all the key points and main ideas presented in
-    the original text, while also condensing the information into a concise 
+    the original text, while also condensing the information into a concise
     and easy-to-understand format. Please ensure that the summary includes
-    relevant details and examples that support the main ideas, while avoiding 
+    relevant details and examples that support the main ideas, while avoiding
     any unnecessary information or repetition.
   delete_file_button_enabled: true
   delete_all_files_button_enabled: true

From 5fbb402477c41e09f56a3e5adc32f316341772bf Mon Sep 17 00:00:00 2001
From: Dmitri Qiu <dmitrimeowsalot@gmail.com>
Date: Wed, 25 Sep 2024 13:00:03 +0300
Subject: [PATCH 30/33] fix: Sanitize null bytes before ingestion (#2090)

* Sanitize null bytes before ingestion

* Added comments
---
 private_gpt/components/ingest/ingest_helper.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/private_gpt/components/ingest/ingest_helper.py b/private_gpt/components/ingest/ingest_helper.py
index a110907..da62568 100644
--- a/private_gpt/components/ingest/ingest_helper.py
+++ b/private_gpt/components/ingest/ingest_helper.py
@@ -92,7 +92,13 @@ class IngestionHelper:
             return string_reader.load_data([file_data.read_text()])
 
         logger.debug("Specific reader found for extension=%s", extension)
-        return reader_cls().load_data(file_data)
+        documents = reader_cls().load_data(file_data)
+
+        # Sanitize NUL bytes in text which can't be stored in Postgres
+        for i in range(len(documents)):
+            documents[i].text = documents[i].text.replace("\u0000", "")
+
+        return documents
 
     @staticmethod
     def _exclude_metadata(documents: list[Document]) -> None:

From 5851b02378313f3dba315e0251cfd421af79dae6 Mon Sep 17 00:00:00 2001
From: Javier Martinez <javiermartinezalvarez98@gmail.com>
Date: Thu, 26 Sep 2024 16:29:52 +0200
Subject: [PATCH 31/33] feat: update llama-index + dependencies (#2092)

* chore: update libraries

* fix: mypy

* chore: more updates

* fix: mypy/black

* chore: fix docker warnings

* fix: mypy

* fix: black
---
 docker-compose.yaml                           |    6 +-
 poetry.lock                                   | 4997 +++++++++--------
 .../components/ingest/ingest_component.py     |    2 +-
 private_gpt/components/llm/llm_component.py   |    9 +-
 private_gpt/components/llm/prompt_helper.py   |    8 +-
 .../node_store/node_store_component.py        |    5 +-
 .../components/vector_store/batched_chroma.py |   17 +-
 private_gpt/server/chat/chat_service.py       |   15 +-
 .../recipes/summarize/summarize_service.py    |    6 +-
 private_gpt/settings/settings.py              |   26 +-
 private_gpt/ui/ui.py                          |    1 +
 pyproject.toml                                |   93 +-
 tests/fixtures/fast_api_test_client.py        |    2 +-
 tests/fixtures/ingest_helper.py               |    2 +-
 tests/fixtures/mock_injector.py               |    2 +-
 tests/server/ingest/test_local_ingest.py      |    2 +-
 16 files changed, 2773 insertions(+), 2420 deletions(-)

diff --git a/docker-compose.yaml b/docker-compose.yaml
index 2d6dff2..e1e8b88 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -61,7 +61,7 @@ services:
   ollama:
     image: traefik:v2.10
     ports:
-      - "11434:11434"
+      - "8080:8080"
     command:
       - "--providers.file.filename=/etc/router.yml"
       - "--log.level=ERROR"
@@ -83,6 +83,8 @@ services:
   # Ollama service for the CPU mode
   ollama-cpu:
     image: ollama/ollama:latest
+    ports:
+      - "11434:11434"
     volumes:
       - ./models:/root/.ollama
     profiles:
@@ -92,6 +94,8 @@ services:
   # Ollama service for the CUDA mode
   ollama-cuda:
     image: ollama/ollama:latest
+    ports:
+      - "11434:11434"
     volumes:
       - ./models:/root/.ollama
     deploy:
diff --git a/poetry.lock b/poetry.lock
index 25e0bbd..c595edc 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -11,100 +11,127 @@ files = [
     {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
 ]
 
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.0"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
+    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
+]
+
 [[package]]
 name = "aiohttp"
-version = "3.9.5"
+version = "3.10.6"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fcde4c397f673fdec23e6b05ebf8d4751314fa7c24f93334bf1f1364c1c69ac7"},
-    {file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d6b3f1fabe465e819aed2c421a6743d8debbde79b6a8600739300630a01bf2c"},
-    {file = "aiohttp-3.9.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ae79c1bc12c34082d92bf9422764f799aee4746fd7a392db46b7fd357d4a17a"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d3ebb9e1316ec74277d19c5f482f98cc65a73ccd5430540d6d11682cd857430"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84dabd95154f43a2ea80deffec9cb44d2e301e38a0c9d331cc4aa0166fe28ae3"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c8a02fbeca6f63cb1f0475c799679057fc9268b77075ab7cf3f1c600e81dd46b"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c26959ca7b75ff768e2776d8055bf9582a6267e24556bb7f7bd29e677932be72"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:714d4e5231fed4ba2762ed489b4aec07b2b9953cf4ee31e9871caac895a839c0"},
-    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e7a6a8354f1b62e15d48e04350f13e726fa08b62c3d7b8401c0a1314f02e3558"},
-    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c413016880e03e69d166efb5a1a95d40f83d5a3a648d16486592c49ffb76d0db"},
-    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:ff84aeb864e0fac81f676be9f4685f0527b660f1efdc40dcede3c251ef1e867f"},
-    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:ad7f2919d7dac062f24d6f5fe95d401597fbb015a25771f85e692d043c9d7832"},
-    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:702e2c7c187c1a498a4e2b03155d52658fdd6fda882d3d7fbb891a5cf108bb10"},
-    {file = "aiohttp-3.9.5-cp310-cp310-win32.whl", hash = "sha256:67c3119f5ddc7261d47163ed86d760ddf0e625cd6246b4ed852e82159617b5fb"},
-    {file = "aiohttp-3.9.5-cp310-cp310-win_amd64.whl", hash = "sha256:471f0ef53ccedec9995287f02caf0c068732f026455f07db3f01a46e49d76bbb"},
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 ]
 
 [package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+yarl = ">=1.12.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -133,13 +160,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -147,9 +174,9 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "asgiref"
@@ -235,32 +262,32 @@ test = ["flake8 (>=6.1,<7.0)", "uvloop (>=0.15.3)"]
 
 [[package]]
 name = "attrs"
-version = "23.2.0"
+version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
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-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
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-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
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+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "azure-core"
-version = "1.30.2"
+version = "1.31.0"
 description = "Microsoft Azure Core Library for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -273,20 +300,20 @@ aio = ["aiohttp (>=3.0)"]
 
 [[package]]
 name = "azure-identity"
-version = "1.17.1"
+version = "1.18.0"
 description = "Microsoft Azure Identity Library for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-azure-core = ">=1.23.0"
+azure-core = ">=1.31.0"
 cryptography = ">=2.5"
-msal = ">=1.24.0"
-msal-extensions = ">=0.3.0"
+msal = ">=1.30.0"
+msal-extensions = ">=1.2.0"
 typing-extensions = ">=4.0.0"
 
 [[package]]
@@ -363,50 +390,61 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "22.12.0"
+version = "24.8.0"
 description = "The uncompromising code formatter."
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-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 click = ">=8.0.0"
 mypy-extensions = ">=0.4.3"
+packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)"]
+d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.34.149"
+version = "1.35.27"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-botocore = ">=1.34.149,<1.35.0"
+botocore = ">=1.35.27,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -415,13 +453,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.149"
+version = "1.35.27"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -430,17 +468,17 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.20.11)"]
+crt = ["awscrt (==0.21.5)"]
 
 [[package]]
 name = "build"
-version = "1.2.1"
+version = "1.2.2"
 description = "A simple, correct Python build frontend"
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "build-1.2.2.tar.gz", hash = "sha256:119b2fb462adef986483438377a13b2f42064a2a3a4161f24a0cca698a07ac8c"},
 ]
 
 [package.dependencies]
@@ -457,85 +495,100 @@ virtualenv = ["virtualenv (>=20.0.35)"]
 
 [[package]]
 name = "cachetools"
-version = "5.4.0"
+version = "5.5.0"
 description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "certifi"
-version = "2024.7.4"
+version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
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 name = "cffi"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -694,13 +747,13 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.5.5"
+version = "0.5.9"
 description = "Chroma."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -713,7 +766,7 @@ httpx = ">=0.27.0"
 importlib-resources = "*"
 kubernetes = ">=28.1.0"
 mmh3 = ">=4.0.1"
-numpy = ">=1.22.5,<2.0.0"
+numpy = ">=1.22.5"
 onnxruntime = ">=1.14.1"
 opentelemetry-api = ">=1.2.0"
 opentelemetry-exporter-otlp-proto-grpc = ">=1.2.0"
@@ -725,6 +778,7 @@ posthog = ">=2.4.0"
 pydantic = ">=1.9"
 pypika = ">=0.48.9"
 PyYAML = ">=6.0.0"
+rich = ">=10.11.0"
 tenacity = ">=8.2.3"
 tokenizers = ">=0.13.2"
 tqdm = ">=4.65.0"
@@ -748,77 +802,77 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
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-version = "0.7.17"
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 description = "ClickHouse Database Core Driver for Python, Pandas, and Superset"
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 python-versions = "~=3.8"
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-optional = false
+optional = true
 python-versions = ">=3.6"
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
@@ -1162,6 +1257,16 @@ files = [
     {file = "docx2txt-0.8.tar.gz", hash = "sha256:2c06d98d7cfe2d3947e5760a57d924e3ff07745b379c8737723922e7009236e5"},
 ]
 
+[[package]]
+name = "durationpy"
+version = "0.7"
+description = "Module for converting between datetime.timedelta and Go's Duration strings."
+optional = true
+python-versions = "*"
+files = [
+    {file = "durationpy-0.7.tar.gz", hash = "sha256:8447c43df4f1a0b434e70c15a38d77f5c9bd17284bfc1ff1d430f233d5083732"},
+]
+
 [[package]]
 name = "einops"
 version = "0.8.0"
@@ -1209,59 +1314,75 @@ django = ["dj-database-url", "dj-email-url", "django-cache-url"]
 lint = ["flake8 (==4.0.1)", "flake8-bugbear (==21.9.2)", "mypy (==0.910)", "pre-commit (>=2.4,<3.0)"]
 tests = ["dj-database-url", "dj-email-url", "django-cache-url", "pytest"]
 
+[[package]]
+name = "eval-type-backport"
+version = "0.2.0"
+description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "eval_type_backport-0.2.0-py3-none-any.whl", hash = "sha256:ac2f73d30d40c5a30a80b8739a789d6bb5e49fdffa66d7912667e2015d9c9933"},
+    {file = "eval_type_backport-0.2.0.tar.gz", hash = "sha256:68796cfbc7371ebf923f03bdf7bef415f3ec098aeced24e054b253a0e78f7b37"},
+]
+
+[package.extras]
+tests = ["pytest"]
+
 [[package]]
 name = "fastapi"
-version = "0.111.1"
+version = "0.115.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.111.1-py3-none-any.whl", hash = "sha256:4f51cfa25d72f9fbc3280832e84b32494cf186f50158d364a8765aabf22587bf"},
-    {file = "fastapi-0.111.1.tar.gz", hash = "sha256:ddd1ac34cb1f76c2e2d7f8545a4bcb5463bce4834e81abf0b189e0c359ab2413"},
+    {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"},
+    {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"},
 ]
 
 [package.dependencies]
-email_validator = ">=2.0.0"
-fastapi-cli = ">=0.0.2"
-httpx = ">=0.23.0"
+email-validator = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
+fastapi-cli = {version = ">=0.0.5", extras = ["standard"], optional = true, markers = "extra == \"all\""}
+httpx = {version = ">=0.23.0", optional = true, markers = "extra == \"all\""}
 itsdangerous = {version = ">=1.1.0", optional = true, markers = "extra == \"all\""}
-jinja2 = ">=2.11.2"
+jinja2 = {version = ">=2.11.2", optional = true, markers = "extra == \"all\""}
 orjson = {version = ">=3.2.1", optional = true, markers = "extra == \"all\""}
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
 pydantic-extra-types = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
 pydantic-settings = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
-python-multipart = ">=0.0.7"
+python-multipart = {version = ">=0.0.7", optional = true, markers = "extra == \"all\""}
 pyyaml = {version = ">=5.3.1", optional = true, markers = "extra == \"all\""}
-starlette = ">=0.37.2,<0.38.0"
+starlette = ">=0.37.2,<0.39.0"
 typing-extensions = ">=4.8.0"
 ujson = {version = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0", optional = true, markers = "extra == \"all\""}
-uvicorn = {version = ">=0.12.0", extras = ["standard"]}
+uvicorn = {version = ">=0.12.0", extras = ["standard"], optional = true, markers = "extra == \"all\""}
 
 [package.extras]
-all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "fastapi-cli"
-version = "0.0.4"
+version = "0.0.5"
 description = "Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi_cli-0.0.4-py3-none-any.whl", hash = "sha256:a2552f3a7ae64058cdbb530be6fa6dbfc975dc165e4fa66d224c3d396e25e809"},
-    {file = "fastapi_cli-0.0.4.tar.gz", hash = "sha256:e2e9ffaffc1f7767f488d6da34b6f5a377751c996f397902eb6abb99a67bde32"},
+    {file = "fastapi_cli-0.0.5-py3-none-any.whl", hash = "sha256:e94d847524648c748a5350673546bbf9bcaeb086b33c24f2e82e021436866a46"},
+    {file = "fastapi_cli-0.0.5.tar.gz", hash = "sha256:d30e1239c6f46fcb95e606f02cdda59a1e2fa778a54b64686b3ff27f6211ff9f"},
 ]
 
 [package.dependencies]
 typer = ">=0.12.3"
+uvicorn = {version = ">=0.15.0", extras = ["standard"]}
 
 [package.extras]
-standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
+standard = ["uvicorn[standard] (>=0.15.0)"]
 
 [[package]]
 name = "ffmpy"
 version = "0.4.0"
 description = "A simple Python wrapper for FFmpeg"
-optional = false
+optional = true
 python-versions = "<4.0.0,>=3.8.1"
 files = [
     {file = "ffmpy-0.4.0-py3-none-any.whl", hash = "sha256:39c0f20c5b465e7f8d29a5191f3a7d7675a8c546d9d985de8921151cd9b59e14"},
@@ -1270,19 +1391,19 @@ files = [
 
 [[package]]
 name = "filelock"
-version = "3.15.4"
+version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
-    {file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
+    {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
+    {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
-typing = ["typing-extensions (>=4.8)"]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
+typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "flatbuffers"
@@ -1297,53 +1418,59 @@ files = [
 
 [[package]]
 name = "fonttools"
-version = "4.53.1"
+version = "4.54.1"
 description = "Tools to manipulate font files"
 optional = true
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -1448,13 +1575,13 @@ files = [
 
 [[package]]
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+version = "2024.9.0"
 description = "File-system specification"
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 python-versions = ">=3.8"
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@@ -1504,13 +1631,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
 
 [[package]]
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+version = "2.20.0"
 description = "Google API client core library"
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 python-versions = ">=3.7"
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@@ -1529,13 +1656,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.138.0"
+version = "2.147.0"
 description = "Google API Client Library for Python"
 optional = true
 python-versions = ">=3.7"
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 [package.dependencies]
@@ -1547,13 +1674,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
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-version = "2.32.0"
+version = "2.35.0"
 description = "Google Authentication Library"
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 python-versions = ">=3.7"
 files = [
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 [package.extras]
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-enterprise-cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"]
+enterprise-cert = ["cryptography", "pyopenssl"]
 pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
@@ -1608,13 +1735,13 @@ dev = ["Pillow", "absl-py", "black", "ipython", "nose2", "pandas", "pytype", "py
 
 [[package]]
 name = "googleapis-common-protos"
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 description = "Common protobufs used in Google APIs"
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 python-versions = ">=3.7"
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 [package.dependencies]
@@ -1625,21 +1752,21 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "gradio"
-version = "4.39.0"
+version = "4.44.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = true
 python-versions = ">=3.8"
 files = [
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 httpx = ">=0.24.1"
 huggingface-hub = ">=0.19.3"
 importlib-resources = ">=1.3,<7.0"
@@ -1668,13 +1795,13 @@ oauth = ["authlib", "itsdangerous"]
 
 [[package]]
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-version = "1.1.1"
+version = "1.3.0"
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 python-versions = ">=3.8"
 files = [
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 huggingface-hub = ">=0.19.3"
 packaging = "*"
 typing-extensions = ">=4.0,<5.0"
-websockets = ">=10.0,<12.0"
+websockets = ">=10.0,<13.0"
 
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 [package.extras]
@@ -1758,143 +1900,137 @@ test = ["objgraph", "psutil"]
 
 [[package]]
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 ]
 
 [package.dependencies]
-grpcio = ">=1.62.2"
+grpcio = ">=1.62.3"
 protobuf = ">=4.21.6,<5.0dev"
 setuptools = "*"
 
@@ -2020,13 +2156,13 @@ test = ["Cython (>=0.29.24,<0.30.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2042,16 +2178,17 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.24.3"
+version = "0.25.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -2106,13 +2243,13 @@ files = [
 
 [[package]]
 name = "identify"
-version = "2.6.0"
+version = "2.6.1"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -2120,24 +2257,27 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.7"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
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 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "importlib-metadata"
-version = "8.0.0"
+version = "8.4.0"
 description = "Read metadata from Python packages"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2150,18 +2290,22 @@ test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "p
 
 [[package]]
 name = "importlib-resources"
-version = "6.4.0"
+version = "6.4.5"
 description = "Read resources from Python packages"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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-testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
+type = ["pytest-mypy"]
 
 [[package]]
 name = "iniconfig"
@@ -2176,17 +2320,17 @@ files = [
 
 [[package]]
 name = "injector"
-version = "0.21.0"
+version = "0.22.0"
 description = "Injector - Python dependency injection framework, inspired by Guice"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "injector-0.22.0-py2.py3-none-any.whl", hash = "sha256:74379ccef3b893bc7d0b7d504c255b5160c5a55e97dc7bdcc73cb33cc7dce3a1"},
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 ]
 
 [package.extras]
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+dev = ["black (==24.3.0)", "build (==1.0.3)", "check-manifest (==0.49)", "click (==8.1.7)", "coverage[toml] (==7.3.2)", "exceptiongroup (==1.2.0)", "importlib-metadata (==7.0.0)", "iniconfig (==2.0.0)", "mypy (==1.7.1)", "mypy-extensions (==1.0.0)", "packaging (==23.2)", "pathspec (==0.12.1)", "platformdirs (==4.1.0)", "pluggy (==1.3.0)", "pyproject-hooks (==1.0.0)", "pytest (==7.4.3)", "pytest-cov (==4.1.0)", "tomli (==2.0.1)", "typing-extensions (==4.9.0)", "zipp (==3.17.0)"]
 
 [[package]]
 name = "itsdangerous"
@@ -2216,6 +2360,76 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "jiter"
+version = "0.5.0"
+description = "Fast iterable JSON parser."
+optional = true
+python-versions = ">=3.8"
+files = [
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+    {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:801fa7802e5cfabe3ab0c81a34c323a319b097dfb5004be950482d882f3d7225"},
+    {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:0c6c43471bc764fad4bc99c5c2d6d16a676b1abf844ca7c8702bdae92df01ee0"},
+    {file = "kiwisolver-1.4.7.tar.gz", hash = "sha256:9893ff81bd7107f7b685d3017cc6583daadb4fc26e4a888350df530e41980a60"},
 ]
 
 [[package]]
 name = "kubernetes"
-version = "30.1.0"
+version = "31.0.0"
 description = "Kubernetes python client"
 optional = true
 python-versions = ">=3.6"
 files = [
-    {file = "kubernetes-30.1.0-py2.py3-none-any.whl", hash = "sha256:e212e8b7579031dd2e512168b617373bc1e03888d41ac4e04039240a292d478d"},
-    {file = "kubernetes-30.1.0.tar.gz", hash = "sha256:41e4c77af9f28e7a6c314e3bd06a8c6229ddd787cad684e0ab9f69b498e98ebc"},
+    {file = "kubernetes-31.0.0-py2.py3-none-any.whl", hash = "sha256:bf141e2d380c8520eada8b351f4e319ffee9636328c137aa432bc486ca1200e1"},
+    {file = "kubernetes-31.0.0.tar.gz", hash = "sha256:28945de906c8c259c1ebe62703b56a03b714049372196f854105afe4e6d014c0"},
 ]
 
 [package.dependencies]
 certifi = ">=14.05.14"
+durationpy = ">=0.7"
 google-auth = ">=1.0.1"
 oauthlib = ">=3.2.2"
 python-dateutil = ">=2.5.3"
@@ -2390,12 +2615,12 @@ adal = ["adal (>=1.0.2)"]
 
 [[package]]
 name = "llama-cpp-python"
-version = "0.2.84"
+version = "0.2.90"
 description = "Python bindings for the llama.cpp library"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "llama_cpp_python-0.2.84.tar.gz", hash = "sha256:51bfd2918fe92060c895a9d64455e7f6370b34e5496edfeaa3f0c17439f155fe"},
+    {file = "llama_cpp_python-0.2.90.tar.gz", hash = "sha256:419b041c62dbdb9f7e67883a6ef2f247d583d08417058776be0bff05b4ec9e3d"},
 ]
 
 [package.dependencies]
@@ -2408,17 +2633,17 @@ typing-extensions = ">=4.5.0"
 all = ["llama_cpp_python[dev,server,test]"]
 dev = ["black (>=23.3.0)", "httpx (>=0.24.1)", "mkdocs (>=1.4.3)", "mkdocs-material (>=9.1.18)", "mkdocstrings[python] (>=0.22.0)", "pytest (>=7.4.0)", "twine (>=4.0.2)"]
 server = ["PyYAML (>=5.1)", "fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"]
-test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
+test = ["fastapi (>=0.100.0)", "httpx (>=0.24.1)", "pydantic-settings (>=2.0.1)", "pytest (>=7.4.0)", "scipy (>=1.10)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)"]
 
 [[package]]
 name = "llama-index-core"
-version = "0.10.58"
+version = "0.11.13.post1"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_core-0.10.58-py3-none-any.whl", hash = "sha256:2345d9b20e21d0ec00e9282fe88a5e4a0eba2e732e577d1b0348512e9181a74f"},
-    {file = "llama_index_core-0.10.58.tar.gz", hash = "sha256:f5730be1861a8fd0ef94e9f412a713132184b887b8a79347514efb672bf749fc"},
+    {file = "llama_index_core-0.11.13.post1-py3-none-any.whl", hash = "sha256:b71021ac86644898e723098a38bfc5f5b98bccb89e194854610b94ce6e3caeec"},
+    {file = "llama_index_core-0.11.13.post1.tar.gz", hash = "sha256:2f2041cc176398f71be449e5aadcad261236fcbfdde9deb7d396512aecb3428a"},
 ]
 
 [package.dependencies]
@@ -2430,11 +2655,10 @@ fsspec = ">=2023.5.0"
 httpx = "*"
 nest-asyncio = ">=1.5.8,<2.0.0"
 networkx = ">=3.0"
-nltk = ">=3.8.1,<4.0.0"
+nltk = ">3.8.1"
 numpy = "<2.0.0"
-openai = ">=1.1.0"
-pandas = "*"
 pillow = ">=9.0.0"
+pydantic = ">=2.7.0,<3.0.0"
 PyYAML = ">=6.0.1"
 requests = ">=2.31.0"
 SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
@@ -2447,200 +2671,205 @@ wrapt = "*"
 
 [[package]]
 name = "llama-index-embeddings-azure-openai"
-version = "0.1.11"
+version = "0.2.5"
 description = "llama-index embeddings azure openai integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_embeddings_azure_openai-0.1.11-py3-none-any.whl", hash = "sha256:afefe55ee69934528c569ddf71fb1e9ddf2992b6c344c4c9d72a03fa8c33cf40"},
-    {file = "llama_index_embeddings_azure_openai-0.1.11.tar.gz", hash = "sha256:40a4fd9a31ba74f071739d6c8405187b66e7f584ae2f64a30316c6c7b6a25325"},
+    {file = "llama_index_embeddings_azure_openai-0.2.5-py3-none-any.whl", hash = "sha256:e3384002618d027c3d188134e7fe09ffb16029202db6b3e6955a9f1f6d591a3e"},
+    {file = "llama_index_embeddings_azure_openai-0.2.5.tar.gz", hash = "sha256:d8b2e3134c2b3510214f2260e6c17be18396d0c765f3edd6c3ffe6109528aed0"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.11.post1,<0.11.0"
-llama-index-embeddings-openai = ">=0.1.3,<0.2.0"
-llama-index-llms-azure-openai = ">=0.1.3,<0.2.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+llama-index-embeddings-openai = ">=0.2.3,<0.3.0"
+llama-index-llms-azure-openai = ">=0.2.0,<0.3.0"
 
 [[package]]
 name = "llama-index-embeddings-gemini"
-version = "0.1.8"
+version = "0.2.0"
 description = "llama-index embeddings gemini integration"
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_embeddings_gemini-0.1.8-py3-none-any.whl", hash = "sha256:b0afd99706cec2cf2f0c5e1f70675170777e82e96a7459f231da07c79408b469"},
-    {file = "llama_index_embeddings_gemini-0.1.8.tar.gz", hash = "sha256:ad02b23ea667c95607da1e534d5579de461895d1944560115a3601ac16f87793"},
+    {file = "llama_index_embeddings_gemini-0.2.0-py3-none-any.whl", hash = "sha256:89a784d3e3c8eebd57d653750efc70d15354aa447b29f86911f7ac14beaa7abb"},
+    {file = "llama_index_embeddings_gemini-0.2.0.tar.gz", hash = "sha256:edfb6ef8687c02bf7ecab16452576502f51f56d030fb1ceb9b2ceaafb4de41d7"},
 ]
 
 [package.dependencies]
 google-generativeai = ">=0.5.2,<0.6.0"
-llama-index-core = ">=0.10.11.post1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 
 [[package]]
 name = "llama-index-embeddings-huggingface"
-version = "0.2.2"
+version = "0.3.1"
 description = "llama-index embeddings huggingface integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_embeddings_huggingface-0.2.2-py3-none-any.whl", hash = "sha256:3445b1c7823cdb45622f90e79f2540db870ea55b226ec7538be963d340f43240"},
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+    {file = "llama_index_embeddings_huggingface-0.3.1-py3-none-any.whl", hash = "sha256:71708240b1aec183c80f20d531b39a75d0cce774586e11bb0798f3ecb270749c"},
+    {file = "llama_index_embeddings_huggingface-0.3.1.tar.gz", hash = "sha256:7aef6324a19576e6b95bfe927c3bd4fc1c5725edce9f26b4e5d2eefa27c02fdb"},
 ]
 
 [package.dependencies]
 huggingface-hub = {version = ">=0.19.0", extras = ["inference"]}
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 sentence-transformers = ">=2.6.1"
 
 [[package]]
 name = "llama-index-embeddings-mistralai"
-version = "0.1.6"
+version = "0.2.0"
 description = "llama-index embeddings mistralai integration"
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_embeddings_mistralai-0.1.6-py3-none-any.whl", hash = "sha256:d69d6fc0be8a1772aaf890bc036f2d575af46070b375a2649803c0eb9736ea1b"},
-    {file = "llama_index_embeddings_mistralai-0.1.6.tar.gz", hash = "sha256:7c9cbf974b1e7d14ded34d3eb749a0d1a379fb151ab75115cc1ffdd08a96a045"},
+    {file = "llama_index_embeddings_mistralai-0.2.0-py3-none-any.whl", hash = "sha256:e753209edb29d535c09bd2ecdc960350e62f80574a1eedf44a6479a7c4453cca"},
+    {file = "llama_index_embeddings_mistralai-0.2.0.tar.gz", hash = "sha256:c334b6ae5a0a6656ff36271070ae714b10c3b00489daa8fc0fd4f07f6ccc49bc"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 mistralai = ">=1.0.0"
 
 [[package]]
 name = "llama-index-embeddings-ollama"
-version = "0.1.2"
+version = "0.3.1"
 description = "llama-index embeddings ollama integration"
 optional = true
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "llama_index_embeddings_ollama-0.3.1-py3-none-any.whl", hash = "sha256:b869ce7e9f8e67aa7d81336e90d25d3ea1fca91c68dce8922b2d4b9c06c5acef"},
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 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+ollama = ">=0.3.1,<0.4.0"
 
 [[package]]
 name = "llama-index-embeddings-openai"
-version = "0.1.11"
+version = "0.2.5"
 description = "llama-index embeddings openai integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_embeddings_openai-0.1.11-py3-none-any.whl", hash = "sha256:e20806fc4baff6b8f5274decf2c1ca7c5c737648e01865475ffada164e32e173"},
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+    {file = "llama_index_embeddings_openai-0.2.5-py3-none-any.whl", hash = "sha256:823c8311e556349ba19dda408a64a314fa3dafe0e5759709c54d33a0269aa6ba"},
+    {file = "llama_index_embeddings_openai-0.2.5.tar.gz", hash = "sha256:0047dd71d747068645ed728c29312aa91b65bbe4c6142180034c64dfc5c6f6e8"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+openai = ">=1.1.0"
 
 [[package]]
 name = "llama-index-llms-azure-openai"
-version = "0.1.10"
+version = "0.2.1"
 description = "llama-index llms azure openai integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_azure_openai-0.1.10-py3-none-any.whl", hash = "sha256:8666b095118ed9c5087dc2d91a83a826d4549ea4d442b9eef363e243207d3539"},
-    {file = "llama_index_llms_azure_openai-0.1.10.tar.gz", hash = "sha256:f1624c9bd7bf4458e98cca6f3b805eec06105fa951536ff24b098d913d2368bd"},
+    {file = "llama_index_llms_azure_openai-0.2.1-py3-none-any.whl", hash = "sha256:263d4345d2f50a91bd753172b2edee0452a692553bda138b3da81bb8536d9e78"},
+    {file = "llama_index_llms_azure_openai-0.2.1.tar.gz", hash = "sha256:18270461da3752711051cc30be527c8a4bda3b2734e950966d06eab775a05705"},
 ]
 
 [package.dependencies]
 azure-identity = ">=1.15.0,<2.0.0"
 httpx = "*"
-llama-index-core = ">=0.10.11.post1,<0.11.0"
-llama-index-llms-openai = ">=0.1.1,<0.2.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+llama-index-llms-openai = ">=0.2.1,<0.3.0"
 
 [[package]]
 name = "llama-index-llms-gemini"
-version = "0.1.11"
+version = "0.3.5"
 description = "llama-index llms gemini integration"
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_llms_gemini-0.1.11-py3-none-any.whl", hash = "sha256:0031853d938875ba2975c2c92c40d6ac18b6dde1f0103cdee10bfc87d128fb34"},
+    {file = "llama_index_llms_gemini-0.3.5-py3-none-any.whl", hash = "sha256:67c8aacc47a895547acc577f670d7dcfe6a5a9e24460c8d7f81bc62504a8ed64"},
+    {file = "llama_index_llms_gemini-0.3.5.tar.gz", hash = "sha256:e6c62216845700263f4f47da8a664d265a8925dd894b627719c74423a8cc5685"},
 ]
 
 [package.dependencies]
 google-generativeai = ">=0.5.2,<0.6.0"
-llama-index-core = ">=0.10.11.post1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 pillow = ">=10.2.0,<11.0.0"
 
 [[package]]
 name = "llama-index-llms-llama-cpp"
-version = "0.1.4"
+version = "0.2.2"
 description = "llama-index llms llama cpp integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_llama_cpp-0.1.4-py3-none-any.whl", hash = "sha256:63f7754a83d2b645a0d88741260c4cedf8b1fb2a0fdae2b82ad499e9fb3c104f"},
-    {file = "llama_index_llms_llama_cpp-0.1.4.tar.gz", hash = "sha256:8c044bc8ef0d25fbe4c85228097c609920a89b08cd71e9d58668d6ad570bd0e5"},
+    {file = "llama_index_llms_llama_cpp-0.2.2-py3-none-any.whl", hash = "sha256:4b9187a18d27bafffff1ad3dcd33771ebd6a0ffd8f10fb5e83d22e80558a54c4"},
+    {file = "llama_index_llms_llama_cpp-0.2.2.tar.gz", hash = "sha256:b9b973cbd263b98e50cd131865a56f264ab9356c37dd7c37cc31c53f517b466c"},
 ]
 
 [package.dependencies]
 llama-cpp-python = ">=0.2.32,<0.3.0"
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 
 [[package]]
 name = "llama-index-llms-ollama"
-version = "0.2.2"
+version = "0.3.2"
 description = "llama-index llms ollama integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
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-    {file = "llama_index_llms_ollama-0.2.2.tar.gz", hash = "sha256:0c7f192cb8b768707bd5154b97e2a41284732d62070eb76190dee125e95245ea"},
+    {file = "llama_index_llms_ollama-0.3.2-py3-none-any.whl", hash = "sha256:4c27940bb1e4e69ed41342ee7026b2d6f49803ef84bff21dc11d162753d5d908"},
+    {file = "llama_index_llms_ollama-0.3.2.tar.gz", hash = "sha256:b745bd6b7bd900423d22db4b21ccdafd6c23be31bfd02f237706a17a308f8a9c"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 ollama = ">=0.3.0"
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.1.27"
+version = "0.2.9"
 description = "llama-index llms openai integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "llama_index_llms_openai-0.2.9-py3-none-any.whl", hash = "sha256:5f36e8cbca2c3c657380c711bd3974fe7e2344d3b6a8dde6c263e56868d01e27"},
+    {file = "llama_index_llms_openai-0.2.9.tar.gz", hash = "sha256:56376f39e3a40253b5c4fb90d0fb6af093f21bb2935925615f0c28a28d028187"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.57,<0.11.0"
+llama-index-core = ">=0.11.7,<0.12.0"
+openai = ">=1.40.0,<2.0.0"
 
 [[package]]
 name = "llama-index-llms-openai-like"
-version = "0.1.3"
+version = "0.2.0"
 description = "llama-index llms openai like integration"
 optional = true
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_openai_like-0.1.3-py3-none-any.whl", hash = "sha256:0cf2c56f027c5e1f17c7fc606ad2b991f61daa75a88ba35bb5ea97de9766d4d3"},
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+    {file = "llama_index_llms_openai_like-0.2.0-py3-none-any.whl", hash = "sha256:2bb6737f0191b2edc20079952ee7f17b42092fc314c786b252a94ad604439496"},
+    {file = "llama_index_llms_openai_like-0.2.0.tar.gz", hash = "sha256:d04eebf1365a769979e7b0debc5ddd5cb1cbc7ca175f2796001bd43cb831ecdc"},
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 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
-llama-index-llms-openai = ">=0.1.1,<0.2.0"
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+llama-index-llms-openai = ">=0.2.0,<0.3.0"
 transformers = ">=4.37.0,<5.0.0"
 
 [[package]]
 name = "llama-index-readers-file"
-version = "0.1.31"
+version = "0.2.2"
 description = "llama-index readers file integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_readers_file-0.1.31-py3-none-any.whl", hash = "sha256:4f026988fce7daad50f000b4feba1a25bf564f4d80b13777c528ddd63ee833b4"},
-    {file = "llama_index_readers_file-0.1.31.tar.gz", hash = "sha256:067469d90292635937cdd7a00c35b73b0248946520b565dcbfed1c2d29566569"},
+    {file = "llama_index_readers_file-0.2.2-py3-none-any.whl", hash = "sha256:ffec878771c1e7575afb742887561059bcca77b97a81c1c1be310ebb73f10f46"},
+    {file = "llama_index_readers_file-0.2.2.tar.gz", hash = "sha256:48459f90960b863737147b66ed83afec9ce8984f8eda2561b6d2500214365db2"},
 ]
 
 [package.dependencies]
 beautifulsoup4 = ">=4.12.3,<5.0.0"
-llama-index-core = ">=0.10.37.post1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+pandas = "*"
 pypdf = ">=4.0.1,<5.0.0"
 striprtf = ">=0.0.26,<0.0.27"
 
@@ -2649,125 +2878,125 @@ pymupdf = ["pymupdf (>=1.23.21,<2.0.0)"]
 
 [[package]]
 name = "llama-index-storage-docstore-postgres"
-version = "0.1.3"
+version = "0.2.0"
 description = "llama-index docstore postgres integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_storage_docstore_postgres-0.1.3-py3-none-any.whl", hash = "sha256:6115dff062caebfce936a2b4224ac86ad35a168048cd6d49b6e0b9e7349d2146"},
-    {file = "llama_index_storage_docstore_postgres-0.1.3.tar.gz", hash = "sha256:91e926df7119844801b127860067fae5c0964b18140f05e89cb65a984450bacc"},
+    {file = "llama_index_storage_docstore_postgres-0.2.0-py3-none-any.whl", hash = "sha256:93d163bb55746c749f6525feadacaa6b61812382fdce4e6a7a0509f2d0f17ff9"},
+    {file = "llama_index_storage_docstore_postgres-0.2.0.tar.gz", hash = "sha256:cfe7b4c1e23f8acd5b41b08902c94980839e2dfc55fe36f31eec315298260636"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
-llama-index-storage-kvstore-postgres = ">=0.1.2,<0.2.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+llama-index-storage-kvstore-postgres = ">=0.2.0,<0.3.0"
 
 [[package]]
 name = "llama-index-storage-index-store-postgres"
-version = "0.1.4"
+version = "0.3.0"
 description = "llama-index index_store postgres integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_storage_index_store_postgres-0.1.4-py3-none-any.whl", hash = "sha256:dd346571221c9f38c8e383df5a0399cdaad63d34ab590ea24193c860e93b51f6"},
-    {file = "llama_index_storage_index_store_postgres-0.1.4.tar.gz", hash = "sha256:93055c1a1650c4aaec68757ffb9c376d8547f428fd796299575dc364ad08dc92"},
+    {file = "llama_index_storage_index_store_postgres-0.3.0-py3-none-any.whl", hash = "sha256:bfac1e6f7ef5c65858385cf47a517d9df5609ac75ae577f08bf334d26df5267e"},
+    {file = "llama_index_storage_index_store_postgres-0.3.0.tar.gz", hash = "sha256:3a2726e353edc7edbb452ed6f5c7655a548eda95427e5557290f2bab13c33241"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
-llama-index-storage-kvstore-postgres = ">=0.1.2,<0.2.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+llama-index-storage-kvstore-postgres = ">=0.2.0,<0.3.0"
 
 [[package]]
 name = "llama-index-storage-kvstore-postgres"
-version = "0.1.2"
+version = "0.2.0"
 description = "llama-index kvstore postgres integration"
 optional = true
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_storage_kvstore_postgres-0.1.2-py3-none-any.whl", hash = "sha256:6b507ebd6f5c538b30322ead031a91f5111597bb6b29927f1a30db5e13b8f2bc"},
-    {file = "llama_index_storage_kvstore_postgres-0.1.2.tar.gz", hash = "sha256:cf5b84f00b9f78c26a6a89e1ec40dbc7023a3e7615f7da39414fda2196ddedb7"},
+    {file = "llama_index_storage_kvstore_postgres-0.2.0-py3-none-any.whl", hash = "sha256:ff1164c410b58252e91c67e5511c42a10c0428ccbc780c95d8522fa5463ebffe"},
+    {file = "llama_index_storage_kvstore_postgres-0.2.0.tar.gz", hash = "sha256:eb534dd7318f7d519bb9d7d7ecbc72a9d9b34be1d8c9591b309e7284d01695fa"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 
 [[package]]
 name = "llama-index-vector-stores-chroma"
-version = "0.1.10"
+version = "0.2.0"
 description = "llama-index vector_stores chroma integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_vector_stores_chroma-0.1.10-py3-none-any.whl", hash = "sha256:18859272ec8d3ed20bae7e4a9bc18feb4233e8be2a725d33626f283ac41d1475"},
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+    {file = "llama_index_vector_stores_chroma-0.2.0-py3-none-any.whl", hash = "sha256:3e5bdd037d7c047a12ca5c9776f7d59d2a26f591bb755d924e2e97c3b77e79f8"},
+    {file = "llama_index_vector_stores_chroma-0.2.0.tar.gz", hash = "sha256:9fa7c63605c1e296e179ad5ee504f40a8fec56777caf72f9fa9542bade54d94c"},
 ]
 
 [package.dependencies]
 chromadb = ">=0.4.0,<0.6.0"
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 
 [[package]]
 name = "llama-index-vector-stores-clickhouse"
-version = "0.1.3"
+version = "0.3.1"
 description = "llama-index vector_stores clickhouse integration"
 optional = true
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "llama_index_vector_stores_clickhouse-0.3.1-py3-none-any.whl", hash = "sha256:38d49bd7e1cc900e4f98e7571678866d1c583b973ebafe15e4b6f2dad37ab147"},
+    {file = "llama_index_vector_stores_clickhouse-0.3.1.tar.gz", hash = "sha256:419e6b55d582e8c86aa68c9c24a86bdb289105ec9c6593ac12ec893c622e49f6"},
 ]
 
 [package.dependencies]
 clickhouse-connect = ">=0.7.0,<0.8.0"
-llama-index-core = ">=0.10.5,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 
 [[package]]
 name = "llama-index-vector-stores-milvus"
-version = "0.1.21"
+version = "0.2.4"
 description = "llama-index vector_stores milvus integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_vector_stores_milvus-0.1.21-py3-none-any.whl", hash = "sha256:272047d5fec42a00fb44b3368f194b074888688195a12b46d9d94b25bb903377"},
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+    {file = "llama_index_vector_stores_milvus-0.2.4-py3-none-any.whl", hash = "sha256:301cccc4768ed4d996b4d175960d941d31a9fbc4ac367b5aca0116a1ce937e47"},
+    {file = "llama_index_vector_stores_milvus-0.2.4.tar.gz", hash = "sha256:8da6484d6c611f5890b3969d68235b757992def328b16e8479d02dca7c084a53"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 pymilvus = ">=2.3.6,<3.0.0"
 
 [[package]]
 name = "llama-index-vector-stores-postgres"
-version = "0.1.12"
+version = "0.2.5"
 description = "llama-index vector_stores postgres integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_vector_stores_postgres-0.1.12-py3-none-any.whl", hash = "sha256:76e2818d954a4ecd1364c36d73106133bc9f6d6e2fc1298755ea3c74c5ce0a69"},
-    {file = "llama_index_vector_stores_postgres-0.1.12.tar.gz", hash = "sha256:87e9a30cb19fdf697e0c23aedb3554ba5ce46cdc0901192cf3c6a442740dee7f"},
+    {file = "llama_index_vector_stores_postgres-0.2.5-py3-none-any.whl", hash = "sha256:e0676f28c2f0505c3ee142b539669f8c6e55506e22c9b5e7abb1914a4811717f"},
+    {file = "llama_index_vector_stores_postgres-0.2.5.tar.gz", hash = "sha256:24b272808b2494133d07798e7903fc7eee98b87a35d38aef24a363f3778041ce"},
 ]
 
 [package.dependencies]
 asyncpg = ">=0.29.0,<0.30.0"
-llama-index-core = ">=0.10.20,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 pgvector = ">=0.2.4,<0.3.0"
 psycopg2-binary = ">=2.9.9,<3.0.0"
 sqlalchemy = {version = ">=1.4.49,<2.1", extras = ["asyncio"]}
 
 [[package]]
 name = "llama-index-vector-stores-qdrant"
-version = "0.2.14"
+version = "0.3.0"
 description = "llama-index vector_stores qdrant integration"
 optional = true
 python-versions = "<3.13,>=3.9"
 files = [
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+    {file = "llama_index_vector_stores_qdrant-0.3.0-py3-none-any.whl", hash = "sha256:6b437d679744524bfd26cfe5716cb7b877a7c94f91c51aaa4ff601a1a9205318"},
+    {file = "llama_index_vector_stores_qdrant-0.3.0.tar.gz", hash = "sha256:99663ceb0c92dda55df9c06163ca42be7eb0f3a67401d5ab8ce973f7ced683a2"},
 ]
 
 [package.dependencies]
 grpcio = ">=1.60.0,<2.0.0"
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 qdrant-client = ">=1.7.1"
 
 [[package]]
@@ -2915,13 +3144,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.21.3"
+version = "3.22.0"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2929,45 +3158,56 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
+docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.0.2)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
 name = "matplotlib"
-version = "3.9.1.post1"
+version = "3.9.2"
 description = "Python plotting package"
 optional = true
 python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -2997,15 +3237,15 @@ files = [
 
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 name = "milvus-lite"
-version = "2.4.8"
+version = "2.4.10"
 description = "A lightweight version of Milvus wrapped with Python."
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -3013,37 +3253,38 @@ tqdm = "*"
 
 [[package]]
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-version = "2.0.1"
+version = "2.2.0"
 description = "An experimental Python binding of the Rust MiniJinja template engine."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "mistralai"
-version = "1.0.3"
+version = "1.1.0"
 description = "Python Client SDK for the Mistral AI API."
 optional = true
 python-versions = "<4.0,>=3.8"
 files = [
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 ]
 
 [package.dependencies]
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 httpx = ">=0.27.0,<0.28.0"
 jsonpath-python = ">=1.0.6,<2.0.0"
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-python-dateutil = ">=2.9.0.post0,<3.0.0"
+pydantic = ">=2.9.0,<3.0.0"
+python-dateutil = "2.8.2"
 typing-inspect = ">=0.9.0,<0.10.0"
 
 [package.extras]
@@ -3051,95 +3292,116 @@ gcp = ["google-auth (==2.27.0)", "requests (>=2.32.3,<3.0.0)"]
 
 [[package]]
 name = "mmh3"
-version = "4.1.0"
+version = "5.0.1"
 description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
 optional = true
-python-versions = "*"
+python-versions = ">=3.8"
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 [package.extras]
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+type = ["mypy (==1.11.2)"]
 
 [[package]]
 name = "monotonic"
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 requests = ">=2.0.0,<3"
 
 [package.extras]
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 [[package]]
 name = "msal-extensions"
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 ]
 
 [package.dependencies]
 coloredlogs = "*"
 flatbuffers = "*"
-numpy = ">=1.21.6,<2.0"
+numpy = ">=1.21.6"
 packaging = "*"
 protobuf = "*"
 sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.37.1"
+version = "1.48.0"
 description = "The official Python library for the openai API"
-optional = false
+optional = true
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.37.1-py3-none-any.whl", hash = "sha256:9a6adda0d6ae8fce02d235c5671c399cfa40d6a281b3628914c7ebf244888ee3"},
-    {file = "openai-1.37.1.tar.gz", hash = "sha256:faf87206785a6b5d9e34555d6a3242482a6852bc802e453e2a891f68ee04ce55"},
+    {file = "openai-1.48.0-py3-none-any.whl", hash = "sha256:7c4af223f0bf615ce4a12453729952c9a8b04ffe8c78aa77981b12fd970149cf"},
+    {file = "openai-1.48.0.tar.gz", hash = "sha256:1d3b69ea62c287c4885a6f3ce840768564cd5f52c60ac5f890fef80d43cc4799"},
 ]
 
 [package.dependencies]
 anyio = ">=3.5.0,<5"
 distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
+jiter = ">=0.4.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tqdm = ">4"
-typing-extensions = ">=4.7,<5"
+typing-extensions = ">=4.11,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.26.0"
+version = "1.27.0"
 description = "OpenTelemetry Python API"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_api-1.26.0-py3-none-any.whl", hash = "sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064"},
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+    {file = "opentelemetry_api-1.27.0-py3-none-any.whl", hash = "sha256:953d5871815e7c30c81b56d910c707588000fff7a3ca1c73e6531911d53065e7"},
+    {file = "opentelemetry_api-1.27.0.tar.gz", hash = "sha256:ed673583eaa5f81b5ce5e86ef7cdaf622f88ef65f0b9aab40b843dcae5bef342"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<=8.0.0"
+importlib-metadata = ">=6.0,<=8.4.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.26.0"
+version = "1.27.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_common-1.26.0-py3-none-any.whl", hash = "sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71"},
-    {file = "opentelemetry_exporter_otlp_proto_common-1.26.0.tar.gz", hash = "sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.27.0-py3-none-any.whl", hash = "sha256:675db7fffcb60946f3a5c43e17d1168a3307a94a930ecf8d2ea1f286f3d4f79a"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.27.0.tar.gz", hash = "sha256:159d27cf49f359e3798c4c3eb8da6ef4020e292571bd8c5604a2a573231dd5c8"},
 ]
 
 [package.dependencies]
-opentelemetry-proto = "1.26.0"
+opentelemetry-proto = "1.27.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.26.0"
+version = "1.27.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.26.0-py3-none-any.whl", hash = "sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280"},
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.26.0.tar.gz", hash = "sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.27.0-py3-none-any.whl", hash = "sha256:56b5bbd5d61aab05e300d9d62a6b3c134827bbd28d0b12f2649c2da368006c9e"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.27.0.tar.gz", hash = "sha256:af6f72f76bcf425dfb5ad11c1a6d6eca2863b91e63575f89bb7b4b55099d968f"},
 ]
 
 [package.dependencies]
@@ -3753,19 +4018,19 @@ deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
 grpcio = ">=1.0.0,<2.0.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.26.0"
-opentelemetry-proto = "1.26.0"
-opentelemetry-sdk = ">=1.26.0,<1.27.0"
+opentelemetry-exporter-otlp-proto-common = "1.27.0"
+opentelemetry-proto = "1.27.0"
+opentelemetry-sdk = ">=1.27.0,<1.28.0"
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.47b0"
+version = "0.48b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation-0.47b0-py3-none-any.whl", hash = "sha256:88974ee52b1db08fc298334b51c19d47e53099c33740e48c4f084bd1afd052d5"},
-    {file = "opentelemetry_instrumentation-0.47b0.tar.gz", hash = "sha256:96f9885e450c35e3f16a4f33145f2ebf620aea910c9fd74a392bbc0f807a350f"},
+    {file = "opentelemetry_instrumentation-0.48b0-py3-none-any.whl", hash = "sha256:a69750dc4ba6a5c3eb67986a337185a25b739966d80479befe37b546fc870b44"},
+    {file = "opentelemetry_instrumentation-0.48b0.tar.gz", hash = "sha256:94929685d906380743a71c3970f76b5f07476eea1834abd5dd9d17abfe23cc35"},
 ]
 
 [package.dependencies]
@@ -3775,55 +4040,55 @@ wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.47b0"
+version = "0.48b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_asgi-0.47b0-py3-none-any.whl", hash = "sha256:b798dc4957b3edc9dfecb47a4c05809036a4b762234c5071212fda39ead80ade"},
-    {file = "opentelemetry_instrumentation_asgi-0.47b0.tar.gz", hash = "sha256:e78b7822c1bca0511e5e9610ec484b8994a81670375e570c76f06f69af7c506a"},
+    {file = "opentelemetry_instrumentation_asgi-0.48b0-py3-none-any.whl", hash = "sha256:ddb1b5fc800ae66e85a4e2eca4d9ecd66367a8c7b556169d9e7b57e10676e44d"},
+    {file = "opentelemetry_instrumentation_asgi-0.48b0.tar.gz", hash = "sha256:04c32174b23c7fa72ddfe192dad874954968a6a924608079af9952964ecdf785"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.47b0"
-opentelemetry-semantic-conventions = "0.47b0"
-opentelemetry-util-http = "0.47b0"
+opentelemetry-instrumentation = "0.48b0"
+opentelemetry-semantic-conventions = "0.48b0"
+opentelemetry-util-http = "0.48b0"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.47b0"
+version = "0.48b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_fastapi-0.47b0-py3-none-any.whl", hash = "sha256:5ac28dd401160b02e4f544a85a9e4f61a8cbe5b077ea0379d411615376a2bd21"},
-    {file = "opentelemetry_instrumentation_fastapi-0.47b0.tar.gz", hash = "sha256:0c7c10b5d971e99a420678ffd16c5b1ea4f0db3b31b62faf305fbb03b4ebee36"},
+    {file = "opentelemetry_instrumentation_fastapi-0.48b0-py3-none-any.whl", hash = "sha256:afeb820a59e139d3e5d96619600f11ce0187658b8ae9e3480857dd790bc024f2"},
+    {file = "opentelemetry_instrumentation_fastapi-0.48b0.tar.gz", hash = "sha256:21a72563ea412c0b535815aeed75fc580240f1f02ebc72381cfab672648637a2"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.47b0"
-opentelemetry-instrumentation-asgi = "0.47b0"
-opentelemetry-semantic-conventions = "0.47b0"
-opentelemetry-util-http = "0.47b0"
+opentelemetry-instrumentation = "0.48b0"
+opentelemetry-instrumentation-asgi = "0.48b0"
+opentelemetry-semantic-conventions = "0.48b0"
+opentelemetry-util-http = "0.48b0"
 
 [package.extras]
-instruments = ["fastapi (>=0.58,<1.0)", "fastapi-slim (>=0.111.0,<0.112.0)"]
+instruments = ["fastapi (>=0.58,<1.0)"]
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.26.0"
+version = "1.27.0"
 description = "OpenTelemetry Python Proto"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_proto-1.26.0-py3-none-any.whl", hash = "sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725"},
-    {file = "opentelemetry_proto-1.26.0.tar.gz", hash = "sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e"},
+    {file = "opentelemetry_proto-1.27.0-py3-none-any.whl", hash = "sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace"},
+    {file = "opentelemetry_proto-1.27.0.tar.gz", hash = "sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6"},
 ]
 
 [package.dependencies]
@@ -3831,104 +4096,110 @@ protobuf = ">=3.19,<5.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.26.0"
+version = "1.27.0"
 description = "OpenTelemetry Python SDK"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_sdk-1.26.0-py3-none-any.whl", hash = "sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897"},
-    {file = "opentelemetry_sdk-1.26.0.tar.gz", hash = "sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85"},
+    {file = "opentelemetry_sdk-1.27.0-py3-none-any.whl", hash = "sha256:365f5e32f920faf0fd9e14fdfd92c086e317eaa5f860edba9cdc17a380d9197d"},
+    {file = "opentelemetry_sdk-1.27.0.tar.gz", hash = "sha256:d525017dea0ccce9ba4e0245100ec46ecdc043f2d7b8315d56b19aff0904fa6f"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.26.0"
-opentelemetry-semantic-conventions = "0.47b0"
+opentelemetry-api = "1.27.0"
+opentelemetry-semantic-conventions = "0.48b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.47b0"
+version = "0.48b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_semantic_conventions-0.47b0-py3-none-any.whl", hash = "sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063"},
-    {file = "opentelemetry_semantic_conventions-0.47b0.tar.gz", hash = "sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e"},
+    {file = "opentelemetry_semantic_conventions-0.48b0-py3-none-any.whl", hash = "sha256:a0de9f45c413a8669788a38569c7e0a11ce6ce97861a628cca785deecdc32a1f"},
+    {file = "opentelemetry_semantic_conventions-0.48b0.tar.gz", hash = "sha256:12d74983783b6878162208be57c9effcb89dc88691c64992d70bb89dc00daa1a"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-opentelemetry-api = "1.26.0"
+opentelemetry-api = "1.27.0"
 
 [[package]]
 name = "opentelemetry-util-http"
-version = "0.47b0"
+version = "0.48b0"
 description = "Web util for OpenTelemetry"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_util_http-0.47b0-py3-none-any.whl", hash = "sha256:3d3215e09c4a723b12da6d0233a31395aeb2bb33a64d7b15a1500690ba250f19"},
-    {file = "opentelemetry_util_http-0.47b0.tar.gz", hash = "sha256:352a07664c18eef827eb8ddcbd64c64a7284a39dd1655e2f16f577eb046ccb32"},
+    {file = "opentelemetry_util_http-0.48b0-py3-none-any.whl", hash = "sha256:76f598af93aab50328d2a69c786beaedc8b6a7770f7a818cc307eb353debfffb"},
+    {file = "opentelemetry_util_http-0.48b0.tar.gz", hash = "sha256:60312015153580cc20f322e5cdc3d3ecad80a71743235bdb77716e742814623c"},
 ]
 
 [[package]]
 name = "orjson"
-version = "3.10.6"
+version = "3.10.7"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -4145,19 +4429,19 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
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 python-versions = ">=3.8"
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-type = ["mypy (>=1.8)"]
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+type = ["mypy (>=1.11.2)"]
 
 [[package]]
 name = "pluggy"
@@ -4195,13 +4479,13 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
 
 [[package]]
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 python-versions = "*"
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 [package.dependencies]
@@ -4214,17 +4498,17 @@ six = ">=1.5"
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-test = ["coverage", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"]
+test = ["coverage", "django", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"]
 
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-python-versions = ">=3.7"
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 [package.dependencies]
@@ -4253,22 +4537,22 @@ testing = ["google-api-core (>=1.31.5)"]
 
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+version = "4.25.5"
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 [[package]]
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 [[package]]
 name = "pyasn1-modules"
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 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 typing-extensions = {version = ">=4.6.1", markers = "python_version < \"3.13\""}
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
+timezone = ["tzdata"]
 
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 ]
 
 [package.dependencies]
@@ -4532,13 +4817,13 @@ semver = ["semver (>=3.0.2)"]
 
 [[package]]
 name = "pydantic-settings"
-version = "2.3.4"
+version = "2.5.2"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic_settings-2.3.4-py3-none-any.whl", hash = "sha256:11ad8bacb68a045f00e4f862c7a718c8a9ec766aa8fd4c32e39a0594b207b53a"},
-    {file = "pydantic_settings-2.3.4.tar.gz", hash = "sha256:c5802e3d62b78e82522319bbc9b8f8ffb28ad1c988a99311d04f2a6051fca0a7"},
+    {file = "pydantic_settings-2.5.2-py3-none-any.whl", hash = "sha256:2c912e55fd5794a59bf8c832b9de832dcfdf4778d79ff79b708744eed499a907"},
+    {file = "pydantic_settings-2.5.2.tar.gz", hash = "sha256:f90b139682bee4d2065273d5185d71d37ea46cfe57e1b5ae184fc6a0b2484ca0"},
 ]
 
 [package.dependencies]
@@ -4546,6 +4831,7 @@ pydantic = ">=2.7.0"
 python-dotenv = ">=0.21.0"
 
 [package.extras]
+azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
 toml = ["tomli (>=2.0.1)"]
 yaml = ["pyyaml (>=6.0.1)"]
 
@@ -4576,13 +4862,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pyjwt"
-version = "2.8.0"
+version = "2.9.0"
 description = "JSON Web Token implementation in Python"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "PyJWT-2.8.0-py3-none-any.whl", hash = "sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320"},
-    {file = "PyJWT-2.8.0.tar.gz", hash = "sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de"},
+    {file = "PyJWT-2.9.0-py3-none-any.whl", hash = "sha256:3b02fb0f44517787776cf48f2ae25d8e14f300e6d7545a4315cee571a415e850"},
+    {file = "pyjwt-2.9.0.tar.gz", hash = "sha256:7e1e5b56cc735432a7369cbfa0efe50fa113ebecdc04ae6922deba8b84582d0c"},
 ]
 
 [package.dependencies]
@@ -4590,28 +4876,28 @@ cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"cryp
 
 [package.extras]
 crypto = ["cryptography (>=3.4.0)"]
-dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
-docs = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
+dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx", "sphinx-rtd-theme", "zope.interface"]
+docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"]
 tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pymilvus"
-version = "2.4.4"
+version = "2.4.7"
 description = "Python Sdk for Milvus"
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "pymilvus-2.4.7.tar.gz", hash = "sha256:9ef460b940782a42e1b7b8ae0da03d8cc02d9d80044d13f4b689a7c935ec7aa7"},
 ]
 
 [package.dependencies]
 environs = "<=9.5.0"
-grpcio = ">=1.49.1,<=1.63.0"
+grpcio = ">=1.49.1"
 milvus-lite = {version = ">=2.4.0,<2.5.0", markers = "sys_platform != \"win32\""}
 pandas = ">=1.2.4"
 protobuf = ">=3.20.0"
-setuptools = ">=67"
+setuptools = ">69"
 ujson = ">=2.0.0"
 
 [package.extras]
@@ -4621,13 +4907,13 @@ model = ["milvus-model (>=0.1.0)"]
 
 [[package]]
 name = "pyparsing"
-version = "3.1.2"
+version = "3.1.4"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = true
 python-versions = ">=3.6.8"
 files = [
-    {file = "pyparsing-3.1.2-py3-none-any.whl", hash = "sha256:f9db75911801ed778fe61bb643079ff86601aca99fcae6345aa67292038fb742"},
-    {file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"},
+    {file = "pyparsing-3.1.4-py3-none-any.whl", hash = "sha256:a6a7ee4235a3f944aa1fa2249307708f893fe5717dc603503c6c7969c070fb7c"},
+    {file = "pyparsing-3.1.4.tar.gz", hash = "sha256:f86ec8d1a83f11977c9a6ea7598e8c27fc5cddfa5b07ea2241edbbde1d7bc032"},
 ]
 
 [package.extras]
@@ -4674,62 +4960,65 @@ files = [
 
 [[package]]
 name = "pyreadline3"
-version = "3.4.1"
+version = "3.5.4"
 description = "A python implementation of GNU readline."
 optional = true
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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-    {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
+    {file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"},
+    {file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"},
 ]
 
+[package.extras]
+dev = ["build", "flake8", "mypy", "pytest", "twine"]
+
 [[package]]
 name = "pytest"
-version = "7.4.4"
+version = "8.3.3"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
-    {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
+    {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
+    {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=0.12,<2.0"
+pluggy = ">=1.5,<2"
 
 [package.extras]
-testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.21.2"
+version = "0.24.0"
 description = "Pytest support for asyncio"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
-    {file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
+    {file = "pytest_asyncio-0.24.0-py3-none-any.whl", hash = "sha256:a811296ed596b69bf0b6f3dc40f83bcaf341b155a269052d82efa2b25ac7037b"},
+    {file = "pytest_asyncio-0.24.0.tar.gz", hash = "sha256:d081d828e576d85f875399194281e92bf8a68d60d72d1a2faf2feddb6c46b276"},
 ]
 
 [package.dependencies]
-pytest = ">=7.0.0"
+pytest = ">=8.2,<9"
 
 [package.extras]
 docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
-testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
+testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-cov"
-version = "3.0.0"
+version = "5.0.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-cov-3.0.0.tar.gz", hash = "sha256:e7f0f5b1617d2210a2cabc266dfe2f4c75a8d32fb89eafb7ad9d06f6d076d470"},
-    {file = "pytest_cov-3.0.0-py3-none-any.whl", hash = "sha256:578d5d15ac4a25e5f961c938b85a05b09fdaae9deef3bb6de9a6e766622ca7a6"},
+    {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
+    {file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
 ]
 
 [package.dependencies]
@@ -4737,17 +5026,17 @@ coverage = {version = ">=5.2.1", extras = ["toml"]}
 pytest = ">=4.6"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "python-dateutil"
-version = "2.9.0.post0"
+version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
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 ]
 
 [[package]]
 name = "qdrant-client"
-version = "1.10.1"
+version = "1.11.3"
 description = "Client library for the Qdrant vector search engine"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4896,95 +5184,110 @@ pydantic = ">=1.10.8"
 urllib3 = ">=1.26.14,<3"
 
 [package.extras]
-fastembed = ["fastembed (==0.2.7)"]
-fastembed-gpu = ["fastembed-gpu (==0.2.7)"]
+fastembed = ["fastembed (==0.3.6)"]
+fastembed-gpu = ["fastembed-gpu (==0.3.6)"]
 
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 [[package]]
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 [package.dependencies]
@@ -5322,8 +5643,8 @@ numpy = ">=1.23.5,<2.3"
 
 [package.extras]
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+doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.13.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<=7.3.7)", "sphinx-design (>=0.4.0)"]
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 [[package]]
 name = "semantic-version"
@@ -5342,44 +5663,47 @@ doc = ["Sphinx", "sphinx-rtd-theme"]
 
 [[package]]
 name = "sentence-transformers"
-version = "3.0.1"
-description = "Multilingual text embeddings"
+version = "3.1.1"
+description = "State-of-the-Art Text Embeddings"
 optional = true
-python-versions = ">=3.8.0"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 Pillow = "*"
 scikit-learn = "*"
 scipy = "*"
 torch = ">=1.11.0"
 tqdm = "*"
-transformers = ">=4.34.0,<5.0.0"
+transformers = ">=4.38.0,<5.0.0"
 
 [package.extras]
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+dev = ["accelerate (>=0.20.3)", "datasets", "pre-commit", "pytest", "pytest-cov"]
 train = ["accelerate (>=0.20.3)", "datasets"]
 
 [[package]]
 name = "setuptools"
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+version = "75.1.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
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 [[package]]
 name = "shellingham"
@@ -5416,71 +5740,71 @@ files = [
 
 [[package]]
 name = "soupsieve"
-version = "2.5"
+version = "2.6"
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 python-versions = ">=3.8"
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 [[package]]
 name = "sqlalchemy"
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+version = "2.0.35"
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 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -5808,6 +6132,7 @@ nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"
 nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+setuptools = "*"
 sympy = "*"
 triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
 typing-extensions = ">=4.8.0"
@@ -5818,13 +6143,13 @@ optree = ["optree (>=0.11.0)"]
 
 [[package]]
 name = "tqdm"
-version = "4.66.4"
+version = "4.66.5"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -5838,13 +6163,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.43.3"
+version = "4.45.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -5856,21 +6181,21 @@ pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
-tokenizers = ">=0.19,<0.20"
+tokenizers = ">=0.20,<0.21"
 tqdm = ">=4.27"
 
 [package.extras]
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 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -5881,26 +6206,27 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
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 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
-ruff = ["ruff (==0.4.4)"]
+ruff = ["ruff (==0.5.1)"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
 serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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 timm = ["timm (<=0.9.16)"]
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-torch = ["accelerate (>=0.21.0)", "torch"]
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 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -5933,13 +6259,13 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "typer"
-version = "0.12.3"
+version = "0.12.5"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -5950,13 +6276,13 @@ typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "types-pyyaml"
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 description = "Typing stubs for PyYAML"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -5987,13 +6313,13 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "tzdata"
-version = "2024.1"
+version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
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 ]
 
 [[package]]
@@ -6096,13 +6422,13 @@ files = [
 
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 description = "HTTP library with thread-safe connection pooling, file post, and more."
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 python-versions = ">=3.8"
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 [package.extras]
@@ -6113,13 +6439,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.30.3"
+version = "0.30.6"
 description = "The lightning-fast ASGI server."
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -6138,42 +6464,42 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
 
 [[package]]
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 [package.extras]
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 ]
 
 [package.dependencies]
@@ -6349,81 +6686,83 @@ test = ["websockets"]
 
 [[package]]
 name = "websockets"
-version = "11.0.3"
+version = "12.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
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+    {file = "yarl-1.12.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:838dde2cb570cfbb4cab8a876a0974e8b90973ea40b3ac27a79b8a74c8a2db15"},
+    {file = "yarl-1.12.1-cp39-cp39-win32.whl", hash = "sha256:eacbcf30efaca7dc5cb264228ffecdb95fdb1e715b1ec937c0ce6b734161e0c8"},
+    {file = "yarl-1.12.1-cp39-cp39-win_amd64.whl", hash = "sha256:76a59d1b63de859398bc7764c860a769499511463c1232155061fe0147f13e01"},
+    {file = "yarl-1.12.1-py3-none-any.whl", hash = "sha256:dc3192a81ecd5ff954cecd690327badd5a84d00b877e1573f7c9097ce13e5bfb"},
+    {file = "yarl-1.12.1.tar.gz", hash = "sha256:5b860055199aec8d6fe4dcee3c5196ce506ca198a50aab0059ffd26e8e815828"},
 ]
 
 [package.dependencies]
@@ -6610,18 +6951,22 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.19.2"
+version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
-    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
+    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
+    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
 ]
 
 [package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
 
 [[package]]
 name = "zstandard"
@@ -6740,13 +7085,13 @@ embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
 embeddings-gemini = ["llama-index-embeddings-gemini"]
 embeddings-huggingface = ["einops", "llama-index-embeddings-huggingface"]
 embeddings-mistral = ["llama-index-embeddings-mistralai"]
-embeddings-ollama = ["llama-index-embeddings-ollama", "ollama"]
+embeddings-ollama = ["llama-index-embeddings-ollama"]
 embeddings-openai = ["llama-index-embeddings-openai"]
 embeddings-sagemaker = ["boto3"]
 llms-azopenai = ["llama-index-llms-azure-openai"]
-llms-gemini = ["google-generativeai", "llama-index-llms-gemini"]
+llms-gemini = ["llama-index-llms-gemini"]
 llms-llama-cpp = ["llama-index-llms-llama-cpp"]
-llms-ollama = ["llama-index-llms-ollama", "ollama"]
+llms-ollama = ["llama-index-llms-ollama"]
 llms-openai = ["llama-index-llms-openai"]
 llms-openai-like = ["llama-index-llms-openai-like"]
 llms-sagemaker = ["boto3"]
@@ -6762,4 +7107,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "3fa6ef447847895b1a16b8b0422dd9e4fda1aaaadef3af71971eb412da89bf67"
+content-hash = "16e3be4521aa64c936ee8fb841655f15090b71cf8faaeed7e73a4bcdf3fbdea2"
diff --git a/private_gpt/components/ingest/ingest_component.py b/private_gpt/components/ingest/ingest_component.py
index 5ed0395..77db970 100644
--- a/private_gpt/components/ingest/ingest_component.py
+++ b/private_gpt/components/ingest/ingest_component.py
@@ -403,7 +403,7 @@ class PipelineIngestComponent(BaseIngestComponentWithIndex):
                 self.transformations,
                 show_progress=self.show_progress,
             )
-            self.node_q.put(("process", file_name, documents, nodes))
+            self.node_q.put(("process", file_name, documents, list(nodes)))
         finally:
             self.doc_semaphore.release()
             self.doc_q.task_done()  # unblock Q joins
diff --git a/private_gpt/components/llm/llm_component.py b/private_gpt/components/llm/llm_component.py
index e3a0281..eb752e5 100644
--- a/private_gpt/components/llm/llm_component.py
+++ b/private_gpt/components/llm/llm_component.py
@@ -120,7 +120,6 @@ class LLMComponent:
                     api_version="",
                     temperature=settings.llm.temperature,
                     context_window=settings.llm.context_window,
-                    max_new_tokens=settings.llm.max_new_tokens,
                     messages_to_prompt=prompt_style.messages_to_prompt,
                     completion_to_prompt=prompt_style.completion_to_prompt,
                     tokenizer=settings.llm.tokenizer,
@@ -184,10 +183,10 @@ class LLMComponent:
 
                         return wrapper
 
-                    Ollama.chat = add_keep_alive(Ollama.chat)
-                    Ollama.stream_chat = add_keep_alive(Ollama.stream_chat)
-                    Ollama.complete = add_keep_alive(Ollama.complete)
-                    Ollama.stream_complete = add_keep_alive(Ollama.stream_complete)
+                    Ollama.chat = add_keep_alive(Ollama.chat)  # type: ignore
+                    Ollama.stream_chat = add_keep_alive(Ollama.stream_chat)  # type: ignore
+                    Ollama.complete = add_keep_alive(Ollama.complete)  # type: ignore
+                    Ollama.stream_complete = add_keep_alive(Ollama.stream_complete)  # type: ignore
 
                 self.llm = llm
 
diff --git a/private_gpt/components/llm/prompt_helper.py b/private_gpt/components/llm/prompt_helper.py
index 0432e49..5875411 100644
--- a/private_gpt/components/llm/prompt_helper.py
+++ b/private_gpt/components/llm/prompt_helper.py
@@ -40,7 +40,8 @@ class AbstractPromptStyle(abc.ABC):
         logger.debug("Got for messages='%s' the prompt='%s'", messages, prompt)
         return prompt
 
-    def completion_to_prompt(self, completion: str) -> str:
+    def completion_to_prompt(self, prompt: str) -> str:
+        completion = prompt  # Fix: Llama-index parameter has to be named as prompt
         prompt = self._completion_to_prompt(completion)
         logger.debug("Got for completion='%s' the prompt='%s'", completion, prompt)
         return prompt
@@ -285,8 +286,9 @@ class ChatMLPromptStyle(AbstractPromptStyle):
 
 
 def get_prompt_style(
-    prompt_style: Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"]
-    | None
+    prompt_style: (
+        Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"] | None
+    )
 ) -> AbstractPromptStyle:
     """Get the prompt style to use from the given string.
 
diff --git a/private_gpt/components/node_store/node_store_component.py b/private_gpt/components/node_store/node_store_component.py
index f81ce70..5cd0afb 100644
--- a/private_gpt/components/node_store/node_store_component.py
+++ b/private_gpt/components/node_store/node_store_component.py
@@ -38,10 +38,10 @@ class NodeStoreComponent:
 
             case "postgres":
                 try:
-                    from llama_index.core.storage.docstore.postgres_docstore import (
+                    from llama_index.storage.docstore.postgres import (  # type: ignore
                         PostgresDocumentStore,
                     )
-                    from llama_index.core.storage.index_store.postgres_index_store import (
+                    from llama_index.storage.index_store.postgres import (  # type: ignore
                         PostgresIndexStore,
                     )
                 except ImportError:
@@ -55,6 +55,7 @@ class NodeStoreComponent:
                 self.index_store = PostgresIndexStore.from_params(
                     **settings.postgres.model_dump(exclude_none=True)
                 )
+
                 self.doc_store = PostgresDocumentStore.from_params(
                     **settings.postgres.model_dump(exclude_none=True)
                 )
diff --git a/private_gpt/components/vector_store/batched_chroma.py b/private_gpt/components/vector_store/batched_chroma.py
index 4f9ea25..54dd049 100644
--- a/private_gpt/components/vector_store/batched_chroma.py
+++ b/private_gpt/components/vector_store/batched_chroma.py
@@ -1,14 +1,17 @@
-from collections.abc import Generator
-from typing import Any
+from collections.abc import Generator, Sequence
+from typing import TYPE_CHECKING, Any
 
 from llama_index.core.schema import BaseNode, MetadataMode
 from llama_index.core.vector_stores.utils import node_to_metadata_dict
 from llama_index.vector_stores.chroma import ChromaVectorStore  # type: ignore
 
+if TYPE_CHECKING:
+    from collections.abc import Mapping
+
 
 def chunk_list(
-    lst: list[BaseNode], max_chunk_size: int
-) -> Generator[list[BaseNode], None, None]:
+    lst: Sequence[BaseNode], max_chunk_size: int
+) -> Generator[Sequence[BaseNode], None, None]:
     """Yield successive max_chunk_size-sized chunks from lst.
 
     Args:
@@ -60,7 +63,7 @@ class BatchedChromaVectorStore(ChromaVectorStore):  # type: ignore
         )
         self.chroma_client = chroma_client
 
-    def add(self, nodes: list[BaseNode], **add_kwargs: Any) -> list[str]:
+    def add(self, nodes: Sequence[BaseNode], **add_kwargs: Any) -> list[str]:
         """Add nodes to index, batching the insertion to avoid issues.
 
         Args:
@@ -78,8 +81,8 @@ class BatchedChromaVectorStore(ChromaVectorStore):  # type: ignore
 
         all_ids = []
         for node_chunk in node_chunks:
-            embeddings = []
-            metadatas = []
+            embeddings: list[Sequence[float]] = []
+            metadatas: list[Mapping[str, Any]] = []
             ids = []
             documents = []
             for node in node_chunk:
diff --git a/private_gpt/server/chat/chat_service.py b/private_gpt/server/chat/chat_service.py
index ae8cf00..efa4a19 100644
--- a/private_gpt/server/chat/chat_service.py
+++ b/private_gpt/server/chat/chat_service.py
@@ -1,4 +1,5 @@
 from dataclasses import dataclass
+from typing import TYPE_CHECKING
 
 from injector import inject, singleton
 from llama_index.core.chat_engine import ContextChatEngine, SimpleChatEngine
@@ -26,6 +27,9 @@ from private_gpt.open_ai.extensions.context_filter import ContextFilter
 from private_gpt.server.chunks.chunks_service import Chunk
 from private_gpt.settings.settings import Settings
 
+if TYPE_CHECKING:
+    from llama_index.core.postprocessor.types import BaseNodePostprocessor
+
 
 class Completion(BaseModel):
     response: str
@@ -114,12 +118,15 @@ class ChatService:
                 context_filter=context_filter,
                 similarity_top_k=self.settings.rag.similarity_top_k,
             )
-            node_postprocessors = [
+            node_postprocessors: list[BaseNodePostprocessor] = [
                 MetadataReplacementPostProcessor(target_metadata_key="window"),
-                SimilarityPostprocessor(
-                    similarity_cutoff=settings.rag.similarity_value
-                ),
             ]
+            if settings.rag.similarity_value:
+                node_postprocessors.append(
+                    SimilarityPostprocessor(
+                        similarity_cutoff=settings.rag.similarity_value
+                    )
+                )
 
             if settings.rag.rerank.enabled:
                 rerank_postprocessor = SentenceTransformerRerank(
diff --git a/private_gpt/server/recipes/summarize/summarize_service.py b/private_gpt/server/recipes/summarize/summarize_service.py
index 4bfd18f..d19657c 100644
--- a/private_gpt/server/recipes/summarize/summarize_service.py
+++ b/private_gpt/server/recipes/summarize/summarize_service.py
@@ -90,9 +90,9 @@ class SummarizeService:
         # Add context documents to summarize
         if use_context:
             # 1. Recover all ref docs
-            ref_docs: dict[
-                str, RefDocInfo
-            ] | None = self.storage_context.docstore.get_all_ref_doc_info()
+            ref_docs: dict[str, RefDocInfo] | None = (
+                self.storage_context.docstore.get_all_ref_doc_info()
+            )
             if ref_docs is None:
                 raise ValueError("No documents have been ingested yet.")
 
diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index abe5662..0589f13 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -136,19 +136,19 @@ class LLMSettings(BaseModel):
         0.1,
         description="The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual.",
     )
-    prompt_style: Literal[
-        "default", "llama2", "llama3", "tag", "mistral", "chatml"
-    ] = Field(
-        "llama2",
-        description=(
-            "The prompt style to use for the chat engine. "
-            "If `default` - use the default prompt style from the llama_index. It should look like `role: message`.\n"
-            "If `llama2` - use the llama2 prompt style from the llama_index. Based on `<s>`, `[INST]` and `<<SYS>>`.\n"
-            "If `llama3` - use the llama3 prompt style from the llama_index."
-            "If `tag` - use the `tag` prompt style. It should look like `<|role|>: message`. \n"
-            "If `mistral` - use the `mistral prompt style. It shoudl look like <s>[INST] {System Prompt} [/INST]</s>[INST] { UserInstructions } [/INST]"
-            "`llama2` is the historic behaviour. `default` might work better with your custom models."
-        ),
+    prompt_style: Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"] = (
+        Field(
+            "llama2",
+            description=(
+                "The prompt style to use for the chat engine. "
+                "If `default` - use the default prompt style from the llama_index. It should look like `role: message`.\n"
+                "If `llama2` - use the llama2 prompt style from the llama_index. Based on `<s>`, `[INST]` and `<<SYS>>`.\n"
+                "If `llama3` - use the llama3 prompt style from the llama_index."
+                "If `tag` - use the `tag` prompt style. It should look like `<|role|>: message`. \n"
+                "If `mistral` - use the `mistral prompt style. It shoudl look like <s>[INST] {System Prompt} [/INST]</s>[INST] { UserInstructions } [/INST]"
+                "`llama2` is the historic behaviour. `default` might work better with your custom models."
+            ),
+        )
     )
 
 
diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py
index 04258ac..abdfb0c 100644
--- a/private_gpt/ui/ui.py
+++ b/private_gpt/ui/ui.py
@@ -1,4 +1,5 @@
 """This file should be imported if and only if you want to run the UI locally."""
+
 import base64
 import logging
 import time
diff --git a/pyproject.toml b/pyproject.toml
index afbb83c..ca355c1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,63 +7,54 @@ authors = ["Zylon <hi@zylon.ai>"]
 [tool.poetry.dependencies]
 python = ">=3.11,<3.12"
 # PrivateGPT
-fastapi = { extras = ["all"], version = "^0.111.0" }
-python-multipart = "^0.0.9"
-injector = "^0.21.0"
-pyyaml = "^6.0.1"
+fastapi = { extras = ["all"], version = "^0.115.0" }
+python-multipart = "^0.0.10"
+injector = "^0.22.0"
+pyyaml = "^6.0.2"
 watchdog = "^4.0.1"
-transformers = "^4.42.3"
+transformers = "^4.44.2"
 docx2txt = "^0.8"
 cryptography = "^3.1"
 # LlamaIndex core libs
-llama-index-core = "^0.10.52"
-llama-index-readers-file = "^0.1.27"
+llama-index-core = ">=0.11.2,<0.12.0"
+llama-index-readers-file = "*"
 # Optional LlamaIndex integration libs
-llama-index-llms-llama-cpp = {version = "^0.1.4", optional = true}
-llama-index-llms-openai = {version = "^0.1.25", optional = true}
-llama-index-llms-openai-like = {version ="^0.1.3", optional = true}
-llama-index-llms-ollama = {version ="^0.2.2", optional = true}
-llama-index-llms-azure-openai = {version ="^0.1.8", optional = true}
-llama-index-llms-gemini = {version ="^0.1.11", optional = true}
-llama-index-embeddings-ollama = {version ="^0.1.2", optional = true}
-llama-index-embeddings-huggingface = {version ="^0.2.2", optional = true}
-llama-index-embeddings-openai = {version ="^0.1.10", optional = true}
-llama-index-embeddings-azure-openai = {version ="^0.1.10", optional = true}
-llama-index-embeddings-gemini = {version ="^0.1.8", optional = true}
-llama-index-embeddings-mistralai = {version ="^0.1.6", optional = true}
-llama-index-vector-stores-qdrant = {version ="^0.2.10", optional = true}
-llama-index-vector-stores-milvus = {version ="^0.1.20", optional = true}
-llama-index-vector-stores-chroma = {version ="^0.1.10", optional = true}
-llama-index-vector-stores-postgres = {version ="^0.1.11", optional = true}
-llama-index-vector-stores-clickhouse = {version ="^0.1.3", optional = true}
-llama-index-storage-docstore-postgres = {version ="^0.1.3", optional = true}
-llama-index-storage-index-store-postgres = {version ="^0.1.4", optional = true}
+llama-index-llms-llama-cpp = {version = "*", optional = true}
+llama-index-llms-openai = {version ="*", optional = true}
+llama-index-llms-openai-like = {version ="*", optional = true}
+llama-index-llms-ollama = {version ="*", optional = true}
+llama-index-llms-azure-openai = {version ="*", optional = true}
+llama-index-llms-gemini = {version ="*", optional = true}
+llama-index-embeddings-ollama = {version ="*", optional = true}
+llama-index-embeddings-huggingface = {version ="*", optional = true}
+llama-index-embeddings-openai = {version ="*", optional = true}
+llama-index-embeddings-azure-openai = {version ="*", optional = true}
+llama-index-embeddings-gemini = {version ="*", optional = true}
+llama-index-embeddings-mistralai = {version ="*", optional = true}
+llama-index-vector-stores-qdrant = {version ="*", optional = true}
+llama-index-vector-stores-milvus = {version ="*", optional = true}
+llama-index-vector-stores-chroma = {version ="*", optional = true}
+llama-index-vector-stores-postgres = {version ="*", optional = true}
+llama-index-vector-stores-clickhouse = {version ="*", optional = true}
+llama-index-storage-docstore-postgres = {version ="*", optional = true}
+llama-index-storage-index-store-postgres = {version ="*", optional = true}
 # Postgres
 psycopg2-binary = {version ="^2.9.9", optional = true}
 asyncpg = {version="^0.29.0", optional = true}
 
 # ClickHouse
-clickhouse-connect = {version = "^0.7.15", optional = true}
+clickhouse-connect = {version = "^0.7.19", optional = true}
 
 # Optional Sagemaker dependency
-boto3 = {version ="^1.34.139", optional = true}
-
-# Optional Qdrant client
-qdrant-client = {version ="^1.9.0", optional = true}
+boto3 = {version ="^1.35.26", optional = true}
 
 # Optional Reranker dependencies
-torch = {version ="^2.3.1", optional = true}
-sentence-transformers = {version ="^3.0.1", optional = true}
+torch = {version ="^2.4.1", optional = true}
+sentence-transformers = {version ="^3.1.1", optional = true}
 
 # Optional UI
-gradio = {version ="^4.37.2", optional = true}
-ffmpy = "0.4.0"
-
-# Optional Google Gemini dependency
-google-generativeai = {version ="^0.5.4", optional = true}
-
-# Optional Ollama client
-ollama = {version ="^0.3.0", optional = true}
+gradio = {version ="^4.44.0", optional = true}
+ffmpy = {version ="^0.4.0", optional = true}
 
 # Optional HF Transformers
 einops = {version = "^0.8.0", optional = true}
@@ -74,11 +65,11 @@ ui = ["gradio", "ffmpy"]
 llms-llama-cpp = ["llama-index-llms-llama-cpp"]
 llms-openai = ["llama-index-llms-openai"]
 llms-openai-like = ["llama-index-llms-openai-like"]
-llms-ollama = ["llama-index-llms-ollama", "ollama"]
+llms-ollama = ["llama-index-llms-ollama"]
 llms-sagemaker = ["boto3"]
 llms-azopenai = ["llama-index-llms-azure-openai"]
-llms-gemini = ["llama-index-llms-gemini", "google-generativeai"]
-embeddings-ollama = ["llama-index-embeddings-ollama", "ollama"]
+llms-gemini = ["llama-index-llms-gemini"]
+embeddings-ollama = ["llama-index-embeddings-ollama"]
 embeddings-huggingface = ["llama-index-embeddings-huggingface", "einops"]
 embeddings-openai = ["llama-index-embeddings-openai"]
 embeddings-sagemaker = ["boto3"]
@@ -94,14 +85,14 @@ storage-nodestore-postgres = ["llama-index-storage-docstore-postgres","llama-ind
 rerank-sentence-transformers = ["torch", "sentence-transformers"]
 
 [tool.poetry.group.dev.dependencies]
-black = "^22"
-mypy = "^1.2"
-pre-commit = "^2"
-pytest = "^7"
-pytest-cov = "^3"
+black = "^24"
+mypy = "^1.11"
+pre-commit = "^3"
+pytest = "^8"
+pytest-cov = "^5"
 ruff = "^0"
-pytest-asyncio = "^0.21.1"
-types-pyyaml = "^6.0.12.12"
+pytest-asyncio = "^0.24.0"
+types-pyyaml = "^6.0.12.20240917"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
diff --git a/tests/fixtures/fast_api_test_client.py b/tests/fixtures/fast_api_test_client.py
index 77d6037..1752541 100644
--- a/tests/fixtures/fast_api_test_client.py
+++ b/tests/fixtures/fast_api_test_client.py
@@ -5,7 +5,7 @@ from private_gpt.launcher import create_app
 from tests.fixtures.mock_injector import MockInjector
 
 
-@pytest.fixture()
+@pytest.fixture
 def test_client(request: pytest.FixtureRequest, injector: MockInjector) -> TestClient:
     if request is not None and hasattr(request, "param"):
         injector.bind_settings(request.param or {})
diff --git a/tests/fixtures/ingest_helper.py b/tests/fixtures/ingest_helper.py
index 25515f4..0d49d41 100644
--- a/tests/fixtures/ingest_helper.py
+++ b/tests/fixtures/ingest_helper.py
@@ -19,6 +19,6 @@ class IngestHelper:
         return ingest_result
 
 
-@pytest.fixture()
+@pytest.fixture
 def ingest_helper(test_client: TestClient) -> IngestHelper:
     return IngestHelper(test_client)
diff --git a/tests/fixtures/mock_injector.py b/tests/fixtures/mock_injector.py
index 5769b33..6f90fc2 100644
--- a/tests/fixtures/mock_injector.py
+++ b/tests/fixtures/mock_injector.py
@@ -37,6 +37,6 @@ class MockInjector:
         return self.test_injector.get(interface)
 
 
-@pytest.fixture()
+@pytest.fixture
 def injector() -> MockInjector:
     return MockInjector()
diff --git a/tests/server/ingest/test_local_ingest.py b/tests/server/ingest/test_local_ingest.py
index 860000e..9c6cba6 100644
--- a/tests/server/ingest/test_local_ingest.py
+++ b/tests/server/ingest/test_local_ingest.py
@@ -6,7 +6,7 @@ import pytest
 from fastapi.testclient import TestClient
 
 
-@pytest.fixture()
+@pytest.fixture
 def file_path() -> str:
     return "test.txt"
 

From 940bdd49af14d9c1e7fd4af54f12648b5fc1f9c0 Mon Sep 17 00:00:00 2001
From: meng-hui <meng-hui@users.noreply.github.com>
Date: Thu, 17 Oct 2024 18:44:28 +0800
Subject: [PATCH 32/33] fix: 503 when private gpt gets ollama service (#2104)

When running private gpt with external ollama API, ollama service
returns 503 on startup because ollama service (traefik) might not be
ready.

- Add healthcheck to ollama service to test for connection to external
ollama
- private-gpt-ollama service depends on ollama being service_healthy

Co-authored-by: Koh Meng Hui <kohmh@duck.com>
---
 docker-compose.yaml | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/docker-compose.yaml b/docker-compose.yaml
index e1e8b88..d81286d 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -29,7 +29,8 @@ services:
       - ollama-cuda
       - ollama-api
     depends_on:
-      - ollama
+      ollama:
+        condition: service_healthy
 
   # Private-GPT service for the local mode
   # This service builds from a local Dockerfile and runs the application in local mode.
@@ -60,6 +61,12 @@ services:
   # This will route requests to the Ollama service based on the profile.
   ollama:
     image: traefik:v2.10
+    healthcheck:
+      test: ["CMD", "sh", "-c", "wget -q --spider http://ollama:11434 || exit 1"]
+      interval: 10s
+      retries: 3
+      start_period: 5s
+      timeout: 5s
     ports:
       - "8080:8080"
     command:

From b7ee43788d1ffcc53ff0117541c7292cf2a127c5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Iv=C3=A1n=20Mart=C3=ADnez?= <ivanmartit@gmail.com>
Date: Wed, 13 Nov 2024 20:29:56 +0100
Subject: [PATCH 33/33] Update README.md

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index b59ea28..4afb2e4 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,6 @@
-# 🔒 PrivateGPT 📑
+# PrivateGPT 
+
+<a href="https://trendshift.io/repositories/2601" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2601" alt="imartinez%2FprivateGPT | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
 [![Tests](https://github.com/zylon-ai/private-gpt/actions/workflows/tests.yml/badge.svg)](https://github.com/zylon-ai/private-gpt/actions/workflows/tests.yml?query=branch%3Amain)
 [![Website](https://img.shields.io/website?up_message=check%20it&down_message=down&url=https%3A%2F%2Fdocs.privategpt.dev%2F&label=Documentation)](https://docs.privategpt.dev/)