Merge langchain==0.2.6 to skypoint-langchain #14
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Following langchain-ai#22813, which added python 3.12 to CI, here we update numpy accordingly in partner packages.
…he python repl (langchain-ai#22860) This should make it obvious that a few of the agents in langchain experimental rely on the python REPL as a tool under the hood, and will force users to opt-in.
…ngchain-ai#22861) FAISS deserializer uses pickle module. Users have to opt-in to de-serialize.
…2863) Add script to check for pickle usage in community.
…hain-ai#22864) Minor update to newest version of security docs (content should be identical).
…m call (langchain-ai#22865) - previous behavior was for the inner astream to continue running with no interruption - also propagate break in core runnable methods
…ain-ai#22750) Should we even log a warning? At least for Anthropic, it's expected to get e.g. `text_block` followed by `text_delta`. @ccurme @baskaryan @efriis
…nScorer initialization (langchain-ai#22846) This PR addresses several lint errors in the core package of LangChain. Specifically, the following issues were fixed: 1.Unexpected keyword argument "required" for "Field" [call-arg] 2.tests/integration_tests/chains/test_cpal.py:263: error: Unexpected keyword argument "narrative_input" for "QueryModel" [call-arg]
…angchain-ai#22857) Quick update to `ImageCaptionLoader` documentation to reflect what's in code.
…#22873) **Description:** Update the NVIDIA Riva tool documentation to use NVIDIA NIM for the LLM. Show how to use NVIDIA NIMs and link to documentation for LangChain with NIM. --------- Co-authored-by: Hayden Wolff <[email protected]> Co-authored-by: Isaac Francisco <[email protected]>
From: langchain-ai#22290 --------- Co-authored-by: Eugene Yurtsev <[email protected]>
…ist (langchain-ai#22817) Some minor fixes in the documentation: - ElasticsearchCache initilization is now correct - List of integrations for ES updated
The `ReAct` is used all across LangChain but it is not referenced properly. Added references to the original paper.
…#22821) - **Description:** Implement ZhipuAIEmbeddings interface, include: - The `embed_query` method - The `embed_documents` method refer to [ZhipuAI Embedding-2](https://open.bigmodel.cn/dev/api#text_embedding) --------- Co-authored-by: Eugene Yurtsev <[email protected]>
…mple (langchain-ai#22833) Description: Adjusting the syntax for creating the vectorstore collection (in the case of automatic embedding computation) for the most idiomatic way to submit the stored secret name. Co-authored-by: Bagatur <[email protected]>
This PR adds the feature add Prem Template feature in ChatPremAI. Additionally it fixes a minor bug for API auth error when API passed through arguments.
…hain-ai#22764) ## Description Currently, the Qdrant integration relies on exceptions raised by [`get_collection` ](https://qdrant.tech/documentation/concepts/collections/#collection-info) to check if a collection exists. Using [`collection_exists`](https://qdrant.tech/documentation/concepts/collections/#check-collection-existence) is recommended to avoid missing any unhandled exceptions. This PR addresses this. ## Testing All integration and unit tests pass. No user-facing changes.
Updated ChatGroq doc string as per issue https://github.com/langchain-ai/langchain/issues/22296:"langchain_groq: updated docstring for ChatGroq in langchain_groq to match that of the description (in the appendix) provided in issue langchain-ai#22296. " Issue: This PR is in response to issue langchain-ai#22296, and more specifically the ChatGroq model. In particular, this PR updates the docstring for langchain/libs/partners/groq/langchain_groq/chat_model.py by adding the following sections: Instantiate, Invoke, Stream, Async, Tool calling, Structured Output, and Response metadata. I used the template from the Anthropic implementation and referenced the Appendix of the original issue post. I also noted that: `usage_metadata `returns none for all ChatGroq models I tested; there is no mention of image input in the ChatGroq documentation; unlike that of ChatHuggingFace, `.stream(messages)` for ChatGroq returned blocks of output. --------- Co-authored-by: lucast2021 <[email protected]> Co-authored-by: Bagatur <[email protected]>
…angchain-ai#22721) Anthropic tool results can contain image data, which are typically represented with content blocks having `"type": "image"`. Currently, these content blocks are passed as-is as human/user messages to Anthropic, which raises BadRequestError as it expects a tool_result block to follow a tool_use. Here we update ChatAnthropic to nest the content blocks inside a tool_result content block. Example: ```python import base64 import httpx from langchain_anthropic import ChatAnthropic from langchain_core.messages import AIMessage, HumanMessage, ToolMessage from langchain_core.pydantic_v1 import BaseModel, Field # Fetch image image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" image_data = base64.b64encode(httpx.get(image_url).content).decode("utf-8") class FetchImage(BaseModel): should_fetch: bool = Field(..., description="Whether an image is requested.") llm = ChatAnthropic(model="claude-3-sonnet-20240229").bind_tools([FetchImage]) messages = [ HumanMessage(content="Could you summon a beautiful image please?"), AIMessage( content=[ { "type": "tool_use", "id": "toolu_01Rn6Qvj5m7955x9m9Pfxbcx", "name": "FetchImage", "input": {"should_fetch": True}, }, ], tool_calls=[ { "name": "FetchImage", "args": {"should_fetch": True}, "id": "toolu_01Rn6Qvj5m7955x9m9Pfxbcx", }, ], ), ToolMessage( name="FetchImage", content=[ { "type": "image", "source": { "type": "base64", "media_type": "image/jpeg", "data": image_data, }, }, ], tool_call_id="toolu_01Rn6Qvj5m7955x9m9Pfxbcx", ), ] llm.invoke(messages) ``` Trace: https://smith.langchain.com/public/d27e4fc1-a96d-41e1-9f52-54f5004122db/r
Co-authored-by: Bagatur <[email protected]>
- **PR title**: [community] add chat model llamacpp
- **PR message**:
- **Description:** This PR introduces a new chat model integration with
llamacpp_python, designed to work similarly to the existing ChatOpenAI
model.
+ Work well with instructed chat, chain and function/tool calling.
+ Work with LangGraph (persistent memory, tool calling), will update
soon
- **Dependencies:** This change requires the llamacpp_python library to
be installed.
@baskaryan
---------
Co-authored-by: Bagatur <[email protected]>
Co-authored-by: Bagatur <[email protected]>
…n-ai#22888) [Fixed typo](docs: Fix typo in tutorial about structured data extraction)
…ore, langchain, and langchain-text-splitters
bing_search_url is an endpoint to requests bing search resource and is normally invariant to users, we can give it the default value to simply the uesages of this utility/tool
* core: runnables: special handling GeneratorExit because no error
Description: Fix a typo Issue: n/a Dependencies: None Twitter handle:
…angchain-ai#20746) - **Description:** Added providers page for Pebblo and docs for PebbloRetrievalQA - **Issue:** NA - **Dependencies:** None - **Unit tests**: NA
Pydantic allows empty strings: ``` from langchain.pydantic_v1 import Field, BaseModel class Property(BaseModel): """A single property consisting of key and value""" key: str = Field(..., description="key") value: str = Field(..., description="value") x = Property(key="", value="") ``` Which can produce errors downstream. We simply ignore those records
…rsers (langchain-ai#23305) These currently read off AIMessage.tool_calls, and only fall back to OpenAI parsing if tool calls aren't populated. Importing these from `openai_tools` (e.g., in our [tool calling docs](https://python.langchain.com/v0.2/docs/how_to/tool_calling/#tool-calls)) can lead to confusion. After landing, would need to release core and update docs.
…nit files (langchain-ai#23415) Thank you for contributing to LangChain! - [x] **PR title**: "community: update docs and add tool to init.py" - [x] **PR message**: - **Description:** Fixed some errors and comments in the docs and added our ZenGuardTool and additional classes to init.py for easy access when importing - **Question:** when will you update the langchain-community package in pypi to make our tool available? - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Thank you for review! --------- Co-authored-by: Baur <[email protected]>
- rerun to remove warnings following langchain-ai#23363 - `raise` -> `return`
…chain into users/arunraja/skypoint-langchain-0.2.0
arunraja1
changed the title
aviskypoint
approved these changes
Jun 27, 2024
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Merge langchain==0.2.6 to skypoint-langchain #14