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harrison/chat-chain
harrison/update-wandb
harrison/debug
harrison/qasper
harrison/dbpedia
harrison/changes
jeremy/guardrails
nc/guardrails-error-handling
harrison/guardrails
harrison/use-output-parsers
John-Church-guard
agent_evaluation
harrison/kor-chain
harrison/inference-api
ankush/callback-refactor
harrison/eval
harrison/audio
ankush/prompt-abstractions
harrison/memory-chat
harrison/indexes
ankush/partial-prompt-apply
harrison/sagemaker
harrison/datetime
harrison/openapiagent
harrison/paged-pdf
harrison/pswsl
ankush/example-runner
harrison/guards
scad/api-chain
harrison/prompt-bugs
harrison/sql-agent
harrison/pinecone-try-except
harrison/callback-updates
harrison/map-rerank
harrison/combine-docs-parse
harrison/azure-rfc
harrison/sequential_chain_from_prompts
harrison/agent-refactor
harrison/agent_intermediate_steps
harrison/agent_multi_inputs
harrison/promot-mrkl
harrison/fix_logging_api
harrison/use_output_parser
harrison/track_intermediate_steps
harrison/sql_error
harrison/logging_to_file
harrison/output_parser
harrison/flexible_model_args
harrison/agent-improvements
harrison/router_docs
harrison/docs
samantha/add_llm_to_example
harrison/reorg_smart_chains
mako-templates
harrison/save_metadatas
harrison/router
harrison/custom_pipeline
harrison/chain_pipeline
harrison/prompts_docs
harrison/attempt_citing_in_prompt
harrison/load_prompt
harrison/prompts_take_2
harrison/ape
harrison/prompt_examples
harrison/add_dependencies
langchain-ai21==0.1.4
langchain-ai21==0.1.5
langchain-ai21==0.1.6
langchain-ai21==0.1.7
langchain-airbyte==0.1.1
langchain-anthropic==0.1.12
langchain-anthropic==0.1.13
langchain-anthropic==0.1.14rc1
langchain-anthropic==0.1.14rc2
langchain-anthropic==0.1.15
langchain-anthropic==0.1.16
langchain-anthropic==0.1.17
langchain-anthropic==0.1.18
langchain-anthropic==0.1.19
langchain-anthropic==0.1.20
langchain-anthropic==0.1.21
langchain-anthropic==0.1.22
langchain-anthropic==0.1.23
langchain-anthropic==0.2.0
langchain-anthropic==0.2.0.dev0
langchain-anthropic==0.2.0.dev1
langchain-anthropic==0.2.1
langchain-azure-dynamic-sessions==0.1.0
langchain-azure-dynamic-sessions==0.1.0rc0
langchain-azure-dynamic-sessions==0.2.0
langchain-box==0.1.0
langchain-box==0.2.0
langchain-box==0.2.1
langchain-chroma==0.1.1
langchain-chroma==0.1.2
langchain-chroma==0.1.4
langchain-cli==0.0.22
langchain-cli==0.0.23
langchain-cli==0.0.24
langchain-cli==0.0.25
langchain-cli==0.0.26
langchain-cli==0.0.27
langchain-cli==0.0.28
langchain-cli==0.0.29
langchain-cli==0.0.30
langchain-cli==0.0.31
langchain-community==0.0.35
langchain-community==0.0.36
langchain-community==0.0.37
langchain-community==0.0.38
langchain-community==0.2.0
langchain-community==0.2.0rc1
langchain-community==0.2.1
langchain-community==0.2.10
langchain-community==0.2.11
langchain-community==0.2.12
langchain-community==0.2.13
langchain-community==0.2.14
langchain-community==0.2.15
langchain-community==0.2.16
langchain-community==0.2.17
langchain-community==0.2.2
langchain-community==0.2.3
langchain-community==0.2.4
langchain-community==0.2.5
langchain-community==0.2.6
langchain-community==0.2.7
langchain-community==0.2.9
langchain-community==0.3.0
langchain-community==0.3.0.dev1
langchain-community==0.3.0.dev2
langchain-community==0.3.1
langchain-core==0.1.47
langchain-core==0.1.48
langchain-core==0.1.50
langchain-core==0.1.51
langchain-core==0.1.52
langchain-core==0.2.0
langchain-core==0.2.0rc1
langchain-core==0.2.1
langchain-core==0.2.10
langchain-core==0.2.11
langchain-core==0.2.12
langchain-core==0.2.13
langchain-core==0.2.15
langchain-core==0.2.16
langchain-core==0.2.17
langchain-core==0.2.18
langchain-core==0.2.19
langchain-core==0.2.2
langchain-core==0.2.20
langchain-core==0.2.21
langchain-core==0.2.22
langchain-core==0.2.23
langchain-core==0.2.24
langchain-core==0.2.25
langchain-core==0.2.26
langchain-core==0.2.27
langchain-core==0.2.28
langchain-core==0.2.29
langchain-core==0.2.29rc1
langchain-core==0.2.2rc1
langchain-core==0.2.3
langchain-core==0.2.30
langchain-core==0.2.31
langchain-core==0.2.32
langchain-core==0.2.33
langchain-core==0.2.34
langchain-core==0.2.35
langchain-core==0.2.36
langchain-core==0.2.37
langchain-core==0.2.38
langchain-core==0.2.39
langchain-core==0.2.4
langchain-core==0.2.40
langchain-core==0.2.41
langchain-core==0.2.5
langchain-core==0.2.6
langchain-core==0.2.7
langchain-core==0.2.8
langchain-core==0.2.9
langchain-core==0.3.0
langchain-core==0.3.0.dev1
langchain-core==0.3.0.dev2
langchain-core==0.3.0.dev3
langchain-core==0.3.0.dev4
langchain-core==0.3.0.dev5
langchain-core==0.3.1
langchain-core==0.3.2
langchain-core==0.3.3
langchain-core==0.3.4
langchain-core==0.3.5
langchain-core==0.3.6
langchain-core==0.3.7
langchain-couchbase==0.0.1
langchain-couchbase==0.1.0
langchain-couchbase==0.1.1
langchain-exa==0.1.0
langchain-exa==0.2.0
langchain-experimental==0.0.58
langchain-experimental==0.0.59
langchain-experimental==0.0.60
langchain-experimental==0.0.61
langchain-experimental==0.0.62
langchain-experimental==0.0.63
langchain-experimental==0.0.64
langchain-experimental==0.0.65
langchain-experimental==0.3.0
langchain-experimental==0.3.0.dev1
langchain-experimental==0.3.1
langchain-fireworks==0.1.3
langchain-fireworks==0.1.4
langchain-fireworks==0.1.5
langchain-fireworks==0.1.6
langchain-fireworks==0.1.7
langchain-fireworks==0.2.0
langchain-fireworks==0.2.0.dev0
langchain-fireworks==0.2.0.dev1
langchain-fireworks==0.2.0.dev2
langchain-groq==0.1.10
langchain-groq==0.1.4
langchain-groq==0.1.5
langchain-groq==0.1.6
langchain-groq==0.1.8
langchain-groq==0.1.9
langchain-groq==0.2.0
langchain-groq==0.2.0.dev0
langchain-groq==0.2.0.dev1
langchain-huggingface==0.0.1
langchain-huggingface==0.0.2
langchain-huggingface==0.0.3
langchain-huggingface==0.1.0
langchain-huggingface==0.1.0.dev1
langchain-ibm==0.1.5
langchain-ibm==0.1.6
langchain-ibm==0.1.7
langchain-ibm==0.1.8
langchain-ibm==0.1.9
langchain-milvus==0.1.0
langchain-milvus==0.1.1
langchain-milvus==0.1.2
langchain-milvus==0.1.3
langchain-milvus==0.1.4
langchain-milvus==0.1.5
langchain-mistralai==0.1.10
langchain-mistralai==0.1.11
langchain-mistralai==0.1.12
langchain-mistralai==0.1.13
langchain-mistralai==0.1.6
langchain-mistralai==0.1.7
langchain-mistralai==0.1.8
langchain-mistralai==0.1.9
langchain-mistralai==0.2.0
langchain-mistralai==0.2.0.dev1
langchain-mongodb==0.1.4
langchain-mongodb==0.1.5
langchain-mongodb==0.1.6
langchain-mongodb==0.1.7
langchain-mongodb==0.1.8
langchain-mongodb==0.1.9
langchain-mongodb==0.2.0
langchain-mongodb==0.2.0.dev1
langchain-nomic==0.1.0
langchain-nomic==0.1.1
langchain-nomic==0.1.2
langchain-nomic==0.1.3
langchain-ollama==0.1.0
langchain-ollama==0.1.1
langchain-ollama==0.1.2
langchain-ollama==0.1.3
langchain-ollama==0.2.0
langchain-ollama==0.2.0.dev1
langchain-openai==0.1.10
langchain-openai==0.1.11
langchain-openai==0.1.12
langchain-openai==0.1.13
langchain-openai==0.1.14
langchain-openai==0.1.15
langchain-openai==0.1.16
langchain-openai==0.1.17
langchain-openai==0.1.19
langchain-openai==0.1.20
langchain-openai==0.1.21
langchain-openai==0.1.21rc1
langchain-openai==0.1.21rc2
langchain-openai==0.1.22
langchain-openai==0.1.23
langchain-openai==0.1.24
langchain-openai==0.1.25
langchain-openai==0.1.5
langchain-openai==0.1.6
langchain-openai==0.1.7
langchain-openai==0.1.8
langchain-openai==0.1.8rc1
langchain-openai==0.1.9
langchain-openai==0.2.0
langchain-openai==0.2.0.dev0
langchain-openai==0.2.0.dev1
langchain-openai==0.2.0.dev2
langchain-openai==0.2.1
langchain-pinecone==0.1.1
langchain-pinecone==0.1.2
langchain-pinecone==0.1.3
langchain-pinecone==0.2.0
langchain-pinecone==0.2.0.dev1
langchain-prompty==0.0.1
langchain-prompty==0.0.2
langchain-prompty==0.0.3
langchain-prompty==0.1.0
langchain-qdrant==0.0.1
langchain-qdrant==0.1.0
langchain-qdrant==0.1.1
langchain-qdrant==0.1.2
langchain-qdrant==0.1.3
langchain-qdrant==0.1.4
langchain-qdrant==0.2.0.dev1
langchain-robocorp==0.0.10
langchain-robocorp==0.0.10.post1
langchain-robocorp==0.0.6
langchain-robocorp==0.0.7
langchain-robocorp==0.0.8
langchain-robocorp==0.0.9
langchain-robocorp==0.0.9.post1
langchain-text-splitters==0.0.2
langchain-text-splitters==0.2.0
langchain-text-splitters==0.2.1
langchain-text-splitters==0.2.2
langchain-text-splitters==0.2.4
langchain-text-splitters==0.3.0
langchain-text-splitters==0.3.0.dev0
langchain-text-splitters==0.3.0.dev1
langchain-together==0.1.1
langchain-together==0.1.2
langchain-together==0.1.3
langchain-together==0.1.4
langchain-together==0.1.5
langchain-unstructured==0.1.0
langchain-unstructured==0.1.1
langchain-unstructured==0.1.2
langchain-unstructured==0.1.4
langchain-unstructured==0.1.5
langchain-upstage==0.1.4
langchain-upstage==0.1.5
langchain-voyageai==0.1.1
langchain-voyageai==0.1.2
langchain==0.1.17
langchain==0.1.19
langchain==0.1.20
langchain==0.2.0
langchain==0.2.0rc1
langchain==0.2.0rc2
langchain==0.2.1
langchain==0.2.10
langchain==0.2.11
langchain==0.2.12
langchain==0.2.13
langchain==0.2.14
langchain==0.2.15
langchain==0.2.16
langchain==0.2.2
langchain==0.2.3
langchain==0.2.4
langchain==0.2.5
langchain==0.2.6
langchain==0.2.7
langchain==0.2.8
langchain==0.2.9
langchain==0.3.0
langchain==0.3.0.dev1
langchain==0.3.0.dev2
langchain==0.3.1
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${ noResults }
6194 Commits (c660b0cf799e3ff48d9455ad5335efc9e1324e32)
Author | SHA1 | Message | Date |
---|---|---|---|
Leonid Ganeline |
15b32cfcd4
|
docs `OpenAI` platform page update (#14001)
Missed the OpenAI adapter reference in the OpenAI platform page - Added this reference |
10 months ago |
Burak Ömür |
0e462b72ef
|
Update openai/create_llm_result function to consider kwargs (#13815)
Replace this entire comment with: - **Description:** updates `create_llm_result` function within `openai.py` to consider latest `params`, - **Issue:** #8928 - **Dependencies:** -, - **Tag maintainer:** - - **Twitter handle:** [burkomr](https://twitter.com/burkomr) <!-- If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Burak Ömür <burakomur@retorio.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
10 months ago |
chyroc |
f97ab84c6b
|
Merge pull request #13907
* feat: mask api_key for jina |
10 months ago |
nhywieza |
9b86fb3fcb
|
secretStr for baichuan chat model api key (#13946)
Merge pull request #13946 * secretStr for baichuan chat model api key |
10 months ago |
卢靖轩 |
aff1dba252
|
Merge pull request #13945
* feat: mask api key for nlpcloud |
10 months ago |
Leonid Kuligin |
85bb3a418c
|
Switched VertexAI models from preview (#13657)
Replace this entire comment with: - **Description:** VertexAI models are now GA, moved away from using preview ones from the SDK - **Issue:** #13606 --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> |
10 months ago |
WaseemH |
a47f1da884
|
docs[patch]: RAG Cookbook example fix (#13914)
### Description:
Hey 👋🏽 this is a small docs example fix. Hoping it helps future developers who are working with Langchain.
### Problem:
Take a look at the original example code. You were not able to get the `dialogue_turn[0]` while it was a tuple.
Original code:
```python
def _format_chat_history(chat_history: List[Tuple]) -> str:
buffer = ""
for dialogue_turn in chat_history:
human = "Human: " + dialogue_turn[0]
ai = "Assistant: " + dialogue_turn[1]
buffer += "\n" + "\n".join([human, ai])
return buffer
```
In the original code you were getting this error:
```bash
human = "Human: " + dialogue_turn[0].content
~~~~~~~~~~~~~^^^
TypeError: 'HumanMessage' object is not subscriptable
```
### Solution:
The fix is to just for loop over the chat history and look to see if its a human or ai message and add it to the buffer.
|
10 months ago |
Erick Friis |
5eca1bd93f
|
Library Licenses (#13300)
Same change as #8403 but in other libs also updates (c) LangChain Inc. instead of @hwchase17 |
10 months ago |
Bagatur |
14799b139a
|
infra[patch]: add base deps and fix docs lint (#13998) | 10 months ago |
Théo LEBRUN |
926d4cfda7
|
Set default region from boto3 session for Bedrock (#13694)
- **Description:** Set default region from boto3 session for Bedrock - **Issue:** #13683 |
10 months ago |
Snow |
1a33e5b500
|
Repair Wikipedia document loader `load_max_docs` and improve test coverage. (#13769)
**Description:** Repair Wikipedia document loader `load_max_docs` and improve test coverage. **Issue:** The Wikipedia document loader was not respecting the `load_max_docs` paramater (not reported) and would always return a maximum of 10 documents. This is because the API wrapper (in `utilities/wikipedia.py`) wasn't passing `top_k_results` to the underlying [Wikipedia library](https://wikipedia.readthedocs.io/en/latest/code.html#module-wikipedia). By default this library returns 10 results. The default number of results for the document loader has been reduced from 100 to 25. This is because loading 100 results takes a very long time and is an inconvenient default. It should possibly be 10. In addition, the documentation for the loader reported that there was a hard limit (300) on the number of documents returned. In actuality 300 is the maximum Wikipedia query character length set by the API wrapper. Tests have been added for the document loader (previously missing) and to test the correct numbers of documents are being returned by each class, both by default, and when overridden. Also repaired is the `assert_docs` test which has been updated to correctly test for the default metadata (which includes `source` in recent releases). **Dependencies:** nil **Tag maintainer:** @leo-gan **Twitter handle:** @queenvictoria |
10 months ago |
Bob Lin |
04c4878306
|
Remove `python_repl` from _BASE_TOOLS (#13962)
### **Description:** Previously `python_repl` was a built-in tool, but now it has been moved to `langchain_experimental`. When I use `load_tools` I get an error: ```python In [1]: from langchain.agents import load_tools In [2]: load_tools(["python_repl"]) --------------------------------------------------------------------------- ImportError Traceback (most recent call last) Cell In[2], line 1 ----> 1 load_tools(["python_repl"]) File ~/workspace/langchain/libs/langchain/langchain/agents/load_tools.py:530, in load_tools(tool_names, llm, callbacks, **kwargs) 528 tool_names.extend(requests_method_tools) 529 elif name in _BASE_TOOLS: --> 530 tools.append(_BASE_TOOLS[name]()) 531 elif name in _LLM_TOOLS: 532 if llm is None: File ~/workspace/langchain/libs/langchain/langchain/agents/load_tools.py:84, in _get_python_repl() 83 def _get_python_repl() -> BaseTool: ---> 84 raise ImportError( 85 "This tool has been moved to langchain experiment. " 86 "This tool has access to a python REPL. " 87 "For best practices make sure to sandbox this tool. " 88 "Read https://github.com/langchain-ai/langchain/blob/master/SECURITY.md " 89 "To keep using this code as is, install langchain experimental and " 90 "update relevant imports replacing 'langchain' with 'langchain_experimental'" 91 ) ImportError: This tool has been moved to langchain experiment. This tool has access to a python REPL. For best practices make sure to sandbox this tool. Read https://github.com/langchain-ai/langchain/blob/master/SECURITY.md To keep using this code as is, install langchain experimental and update relevant imports replacing 'langchain' with 'langchain_experimental' ``` In this case, it will be very confusing. I think it is no longer a built-in tool now, so it can be removed from `_BASE_TOOLS` ### **Issue:** https://github.com/langchain-ai/langchain/issues/13858, https://github.com/langchain-ai/langchain/issues/13859, https://github.com/langchain-ai/langchain/issues/13856 ### **Twitter handle:** [lin_bob57617](https://twitter.com/lin_bob57617) |
10 months ago |
Leonid Ganeline |
52eee458bb
|
renamed `google_vertex_ai_vector_search` notebook (#13484)
The `integrations/vectorstores/matchingengine.ipynb` example has the "Google Vertex AI Vector Search" title. This place this Title in the wrong order in the ToC (it is sorted by the file name). - Renamed `integrations/vectorstores/matchingengine.ipynb` into `integrations/vectorstores/google_vertex_ai_vector_search.ipynb`. - Updated a correspondent comment in docstring - Rerouted old URL to a new URL --------- Co-authored-by: Erick Friis <erick@langchain.dev> |
10 months ago |
Leonid Ganeline |
f5326cfb4e
|
docs[patch]: link to LangSmith docs (#13740)
It happens that there is no link to the LangSmith Docs from the LangChain Docs. Added this link |
10 months ago |
Leonid Ganeline |
bf5787f58b
|
experimental[patch]: fixed namespace bug (#13585)
It was : `from langchain.schema.prompts import BasePromptTemplate` but because of the breaking change in the ns, it is now `from langchain.schema.prompt_template import BasePromptTemplate` This bug prevents building the API Reference for the langchain_experimental |
10 months ago |
Leonid Ganeline |
1ab8a14742
|
docs[patch]: top menu (#13748)
Addressed this issue with the top menu: It allocates too much space. If the screen is small, then the top menu items are split into two lines and look unreadable. Another issue is with several top menu items: "Chat our docs" and "Also by LangChain". They are compound of several words which also hurts readability. The top menu items should be 1-word size. Updates: - "Chat our docs" -> "Chat" (the meaning is clean after clicking/opening the item) - "Also by LangChain" -> "🦜️🔗" - "🦜️🔗" moved before "Chat" item. This new item is partially copied from the first left item, the "🦜️🔗 LangChain". This design (with two 🦜️🔗 elements, visually splits the top menu into two parts. The first item in each part holds the 🦜️🔗 symbols and, when we click the second 🦜️🔗 item, it opens the drop-down menu. So, we've got two visually similar parts, which visually split the top menu on the right side: the LangChain Docs (and Doc-related items) and the lift side: other LangChain.ai (company) products/docs. |
10 months ago |
Bob Lin |
41b3968d39
|
docs[patch]: Update CONTRIBUTING.md doc (#13965)
- **Description:** The new demo notebook should be placed in [docs/docs/modules](https://github.com/langchain-ai/langchain/tree/master/docs/docs/modules) - **Twitter handle:** lin_bob57617 --------- Co-authored-by: Bagatur <baskaryan@gmail.com> |
10 months ago |
Taqi Jaffri |
144710ad9a
|
langchain[minor]: Updated DocugamiLoader, includes breaking changes (#13265)
There are the following main changes in this PR: 1. Rewrite of the DocugamiLoader to not do any XML parsing of the DGML format internally, and instead use the `dgml-utils` library we are separately working on. This is a very lightweight dependency. 2. Added MMR search type as an option to multi-vector retriever, similar to other retrievers. MMR is especially useful when using Docugami for RAG since we deal with large sets of documents within which a few might be duplicates and straight similarity based search doesn't give great results in many cases. We are @docugami on twitter, and I am @tjaffri --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com> |
10 months ago |
Bagatur |
a20e8f8bb0
|
experimental[patch]: release 0.0.43 (#13570) | 10 months ago |
juan-calvo-datatonic |
6137894008
|
templates[minor]: Add rag google sensitive data protection template (#13921)
This is a template demonstrating how to utilize Google Sensitive Data Protection in conjunction with ChatVertexAI(). Tagging you @efriis as you reviewed my last template. :) Thanks! Proof of successful execution: ![image](https://github.com/langchain-ai/langchain/assets/82172964/e4d678aa-85c8-482b-b09d-81fe7e912dd4) --------- Co-authored-by: Erick Friis <erick@langchain.dev> |
10 months ago |
Erick Friis |
8b9dc5e6d3
|
langchain[patch]: contributing test guide update (#13993) | 10 months ago |
Bagatur |
95a472a85f
|
docs[patch]: install local core (#13990) | 10 months ago |
Bagatur |
d8fe987ef5
|
langchain[patch]: release 0.0.342 (#13992) | 10 months ago |
Bagatur |
61ec71064a
|
docs[patch]: update stack diagram (#13902) | 10 months ago |
david qiu |
9fb6805be4
|
langchain[minor]: Add retriever for Knowledge Bases for Amazon Bedrock (#13980)
- **Description:** Adds a retriever implementation for [Knowledge Bases
for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/), a
new service announced at AWS re:Invent, shortly before this PR was
opened. This depends on the `bedrock-agent-runtime` service, which will
be included in a future version of `boto3` and of `botocore`. We will
open a follow-up PR documenting the minimum required versions of `boto3`
and `botocore` after that information is available.
- **Issue:** N/A
- **Dependencies:** `boto3>=1.33.2, botocore>=1.33.2`
- **Tag maintainer:** @baskaryan
- **Twitter handles:** `@pjain7` `@dead_letter_q`
This PR includes a documentation notebook under
`docs/docs/integrations/retrievers`, which I (@dlqqq) have verified
independently.
EDIT: `bedrock-agent-runtime` service is now included in
`boto3>=1.33.2`:
|
10 months ago |
Bagatur |
1aed2d1f08
|
core[patch]: release 0.0.7 (#13989) | 10 months ago |
David Duong |
eb67f07e32
|
Track RunnableAssign as a separate run trace (#13972)
Addressing incorrect order being sent to callbacks / tracers, due to the nature of threading --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> |
10 months ago |
Nuno Campos |
0f255bb6c4
|
In Runnable.stream_log build up final_output from adding output chunks (#12781)
Add arg to omit streamed_output list, in cases where final_output is enough this saves bandwidth <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> |
10 months ago |
Nuno Campos |
970fe23feb
|
Fixes for opengpts release (#13960) | 10 months ago |
David Duong |
947daaf833
|
Exclude Bedrock client and credentials_profile_name fields from serialisation (#13603) | 10 months ago |
Bagatur |
48fbc5513d
|
infra[patch], langchain[patch]: fix test deps and upper bound langchain dep on core(#13984) | 10 months ago |
Stefano Lottini |
1fd724293b
|
Astra DB vector store, move constructor docstring to class docstring (#13784)
This PR rearranges the docstring for the `AstraDB` vector store class so as to have all useful information in the _class_ docstring for ease of reading. (incidentally, due to an oversight, the docstring that was in the constructor ended up buried below some lines of code, thereby disappearing altogether from accessibility. Apologies.) |
10 months ago |
Johannes Foulds |
fc40bd4cdb
|
AnthropicFunctions function_call compatibility (#13901)
- **Description:** Updates to `AnthropicFunctions` to be compatible with the OpenAI `function_call` functionality. - **Issue:** The functionality to indicate `auto`, `none` and a forced function_call was not completely implemented in the existing code. - **Dependencies:** None - **Tag maintainer:** @baskaryan , and any of the other maintainers if needed. - **Twitter handle:** None I have specifically tested this functionality via AWS Bedrock with the Claude-2 and Claude-Instant models. |
10 months ago |
Varun |
14cc907d35
|
Update the stable docs link (#13798)
- **Description:** Point to the stable version of documentation, - **Twitter handle:** varunzxzx |
10 months ago |
mengjincn |
05ea4fd37d
|
fix merge None value and non None value error (#13703)
<!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> |
10 months ago |
Amélie |
d2cad53ec0
|
Fix broken link on Meilisearch vector-store documentation (#13604)
- **Description:** dead link replacement
- **Issue:** no open issue
**Note:**
Hi langchain team,
Sorry to open a PR for this concern but we realized that one of the
links present in the documentation booklet was broken 😄
|
10 months ago |
Ali Orozgani |
32d794f5a3
|
iMessage loader: implement message content extraction from attributed… (#13634)
- **Description:** We are adding functionality to extract message content from the `attributedBody` field of the database, in case the content is not in the `text` field. - **Issue:** Closes #13326 and #10680 - **Dependencies:** None. - **Tag maintainer:** @eyurtsev, @hwchase17 --------- Co-authored-by: onotate <johnp.pham@mail.utoronto.ca> |
10 months ago |
William FH |
e5256bcb69
|
[Evals] Add Project Tags (#13982)
Add them to project extra |
10 months ago |
Rihards Gravis |
9e017ff6ba
|
docs[patch]: Reduce largest static image file size (#13508)
- **Description:** Reduce image asset file size used in documentation by running them via lossless image optimization ([tinypng](https://www.npmjs.com/package/tinypng-cli) was used in this case). Images wider than 1916px (the maximum width of an image displayed in documentation) where downsized. - **Issue:** No issue is created for this, but the large image file assets caused slow documentation load times - **Dependencies:** No dependencies affected |
10 months ago |
Nuno Campos |
e0bcc98436
|
infra[patch]: Use langchain core in-tree as a dev dependency (#13957)
Using the published version means master is broken for contributors whenever we make changes in one lib that depend on the other. |
10 months ago |
unifyh |
2703a1b061
|
Fix `MarkdownHeaderTextSplitter` not recognizing tilde-fenced code blocks (#13511)
- **Description:** Previously `MarkdownHeaderTextSplitter` did not consider tilde-fenced code blocks (https://spec.commonmark.org/0.30/#fenced-code-blocks). This PR fixes that. ````md # Bug caused by previous implementation: ~~~py foo() # This is a comment that would be considered header bar() ~~~ ```` - **Tag maintainer:** @baskaryan |
10 months ago |
Leonid Ganeline |
7929b26017
|
office365 toolkit bug fixes (#13618)
Several bug fixes: - emails: instead of `bcc` the `cc` is used. - errors in the truncation descriptions - no truncation of the `message_search` Several updates: - generalized UTC format - truncation limit can be changed now in _call() |
10 months ago |
William FH |
60309341bd
|
Eval Error Key (#13974) | 10 months ago |
Erick Friis |
f9bef600f1
|
RELEASE: core 0.0.7 (#13973) | 10 months ago |
Nicolas Bondoux |
e17edc4d0b
|
RunnableLambda: create afunc instance from func when not provided (#13408)
Fixes #13407. This workaround consists in letting the RunnableLambda create its self.afunc from its self.func when self.afunc is not provided; the change has no dependency. <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Nuno Campos <nuno@langchain.dev> |
10 months ago |
Nuno Campos |
391f200eaa
|
Implement stream() and astream() for agents (#12783)
``` ---- chunk 1 {'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]} ---- chunk 2 {'messages': [FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”")]} ---- chunk 3 {'actions': [AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]} ---- chunk 4 {'messages': [FunctionMessage(content='25 years', name='Search')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years')]} ---- chunk 5 {'actions': [AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]} ---- chunk 6 {'messages': [FunctionMessage(content='Answer: 3.991298452658078', name='Calculator')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]} ---- chunk 7 {'messages': [AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")], 'output': "Leonardo DiCaprio's current girlfriend is the Italian model " 'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 ' 'power is approximately 3.99.'} ---- final {'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}}), FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search'), AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}}), FunctionMessage(content='25 years', name='Search'), AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}}), FunctionMessage(content='Answer: 3.991298452658078', name='Calculator'), AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")], 'output': "Leonardo DiCaprio's current girlfriend is the Italian model " 'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 ' 'power is approximately 3.99.', 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”"), AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years'), AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]} ``` |
10 months ago |
Michael Feil |
686162670e
|
langchain[minor]: Adding `infinity` embedding integration. (#13928)
This adds integation to https://github.com/michaelfeil/infinity. Users requested it in https://github.com/michaelfeil/infinity/issues/36 @saatvikshah Follows my implementation of gradient.ai. Feedback 1: Well done - I love your CI / repo / poetry setup - I adapted a lot in https://github.com/michaelfeil/infinity. Feedback 2: Not so good: The openai integration contains to much reverse engineering - in general projects such as michaelfeil/infinity and huggingface/text-embeddings-inference are compatible to the `pip install openai` package. Reverse engineering like this one is really hindering the use for me: |
10 months ago |
Bagatur |
10a6e7cbb6
|
langchain[patch], core[patch]: Make common utils public (#13932)
- rename `langchain_core.chat_models.base._generate_from_stream` -> `generate_from_stream` - rename `langchain_core.chat_models.base._agenerate_from_stream` -> `agenerate_from_stream` - export `langchain_core.utils.utils.build_extra_kwargs` from `langchain_core.utils` |
10 months ago |
Oleksandr Yaremchuk |
c0277d06e8
|
experimental[patch] Update prompt injection model (#13930)
- **Description:** Existing model used for Prompt Injection is quite outdated but we fine-tuned and open-source a new model based on the same model deberta-v3-base from Microsoft - [laiyer/deberta-v3-base-prompt-injection](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection). It supports more up-to-date injections and less prone to false-positives. - **Dependencies:** No - **Tag maintainer:** - - **Twitter handle:** @alex_yaremchuk --------- Co-authored-by: Bagatur <baskaryan@gmail.com> |
10 months ago |
Bob Lin |
e6ebde9688
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experimental[patch]: Add experimental.agent imports (#13839)
- **Description:** The experimental package needs to be compatible with the usage of importing agents For example, if i use `from langchain.agents import create_pandas_dataframe_agent`, running the program will prompt the following information: ``` Traceback (most recent call last): File "/Users/dongwm/test/main.py", line 1, in <module> from langchain.agents import create_pandas_dataframe_agent File "/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain/agents/__init__.py", line 87, in __getattr__ raise ImportError( ImportError: create_pandas_dataframe_agent has been moved to langchain experimental. See https://github.com/langchain-ai/langchain/discussions/11680 for more information. Please update your import statement from: `langchain.agents.create_pandas_dataframe_agent` to `langchain_experimental.agents.create_pandas_dataframe_agent`. ``` But when I changed to `from langchain_experimental.agents import create_pandas_dataframe_agent`, it was actually wrong: ```python Traceback (most recent call last): File "/Users/dongwm/test/main.py", line 2, in <module> from langchain_experimental.agents import create_pandas_dataframe_agent ImportError: cannot import name 'create_pandas_dataframe_agent' from 'langchain_experimental.agents' (/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain_experimental/agents/__init__.py) ``` I should use `from langchain_experimental.agents.agent_toolkits import create_pandas_dataframe_agent`. In order to solve the problem and make it compatible, I added additional import code to the langchain_experimental package. Now it can be like this Used `from langchain_experimental.agents import create_pandas_dataframe_agent` - **Twitter handle:** [lin_bob57617](https://twitter.com/lin_bob57617) |
10 months ago |