langchain

Commit Graph

Author	SHA1	Message	Date
Bagatur	5b83130855	core[minor], langchain[patch], community[patch]: mv StructuredQuery (#20849 ) mv StructuredQuery to core	5 months ago
Bagatur	ffad3985a1	core[patch]: Release 0.1.46 (#20891 )	5 months ago
William FH	a936f696a6	[Core] Feat: update config CVar in tool.invoke (#20808 )	5 months ago
Harrison Chase	43c041cda5	support messages in messages out (#20862 )	5 months ago
Erick Friis	8c95ac3145	docs, multiple: de-beta with_structured_output (#20850 )	5 months ago
Nuno Campos	477eb1745c	Better support for subgraphs in graph viz (#20840 )	5 months ago
Eugene Yurtsev	d8aa72f51d	core[minor],langchain[patch]: Move base indexing interface and logic to core (#20667 ) This PR moves the interface and the logic to core. The following changes to namespaces: `indexes` -> `indexing` `indexes._api` -> `indexing.api` Testing code is intentionally duplicated for now since it's testing different implementations of the record manager (in-memory vs. SQL). Common logic will need to be pulled out into the test client. A follow up PR will move the SQL based implementation outside of LangChain.	5 months ago
Eugene Yurtsev	30e48c9878	core[patch],community[patch]: Move file chat history back to community (#20834 ) Marking as patch since we haven't had releases in between. This just reverting part of a PR from yesterday.	5 months ago
Erick Friis	30c7951505	core: use qualname in beta message (#20361 )	5 months ago
Eugene Yurtsev	ad6b5f84e5	community[patch],core[minor]: Move in memory cache implementation to core (#20753 ) This PR moves the InMemoryCache implementation from community to core.	5 months ago
Eugene Yurtsev	a2cc9b55ba	core[patch]: Remove autoupgrade to addable dict in Runnable/RunnableLambda/RunnablePassthrough transform (#20677 ) Causes an issue for this code ```python from langchain.chat_models.openai import ChatOpenAI from langchain.output_parsers.openai_tools import JsonOutputToolsParser from langchain.schema import SystemMessage prompt = SystemMessage(content="You are a nice assistant.") + "{question}" llm = ChatOpenAI( model_kwargs={ "tools": [ { "type": "function", "function": { "name": "web_search", "description": "Searches the web for the answer to the question.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "The question to search for.", }, }, }, }, } ], }, streaming=True, ) parser = JsonOutputToolsParser(first_tool_only=True) llm_chain = prompt \| llm \| parser \| (lambda x: x) for chunk in llm_chain.stream({"question": "tell me more about turtles"}): print(chunk) # message = llm_chain.invoke({"question": "tell me more about turtles"}) # print(message) ``` Instead by definition, we'll assume that RunnableLambdas consume the entire stream and that if the stream isn't addable then it's the last message of the stream that's in the usable format. --- If users want to use addable dicts, they can wrap the dict in an AddableDict class. --- Likely, need to follow up with the same change for other places in the code that do the upgrade	5 months ago
Eugene Yurtsev	645b1e142e	core[minor],langchain[patch],community[patch]: Move InMemory and File implementations of Chat History to core (#20752 ) This PR moves the implementations for chat history to core. So it's easier to determine which dependencies need to be broken / add deprecation warnings	5 months ago
ccurme	7a922f3e48	core, openai: support custom token encoders (#20762 )	5 months ago
Eugene Yurtsev	38adbfdf34	community[patch],core[minor]: Move BaseToolKit to core.tools (#20669 )	5 months ago
ccurme	c010ec8b71	patch: deprecate (a)get_relevant_documents (#20477 ) - `.get_relevant_documents(query)` -> `.invoke(query)` - `.get_relevant_documents(query=query)` -> `.invoke(query)` - `.get_relevant_documents(query, callbacks=callbacks)` -> `.invoke(query, config={"callbacks": callbacks})` - `.get_relevant_documents(query, kwargs)` -> `.invoke(query, kwargs)` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	940242c1ec	core: release 0.1.45 (#20664 )	5 months ago
Nuno Campos	48307e46a3	core[patch]: Fix runnable map ser/de (#20631 )	5 months ago
Erick Friis	3425988de7	core: deprecation default to qualname (#20578 )	5 months ago
Erick Friis	66fb0b1f35	core: fix fireworks mapping (#20613 )	5 months ago
aditya thomas	cea379e7c7	community, core[callbacks]: move FileCallbackHandler from community to core (#20495 ) Description: Move `FileCallbackHandler` from community to core Issue: #20493 Dependencies: None (imo) `FileCallbackHandler` is a built-in LangChain callback handler like `StdOutCallbackHandler` and should properly be in in core.	5 months ago
Erick Friis	e395115807	docs: aws docs updates (#20571 )	5 months ago
Nuno Campos	719da8746e	core: fix attributeerror in runnablelambda.deps (#20569 ) - would happen when user's code tries to access attritbute that doesnt exist, we prefer to let this crash in the user's code, rather than here - also catch more cases where a runnable is invoked/streamed inside a lambda. before we weren't seeing these as deps	5 months ago
Bagatur	7917e2c418	core[patch]: Release 0.1.44 (#20564 )	5 months ago
Erick Friis	e7fe5f7d3f	anthropic[patch]: serialization in partner package (#18828 )	5 months ago
Erick Friis	6adca37eb7	core: default chat/llm _identifying_params to lc_attributes (#20232 )	5 months ago
Nuno Campos	806a54908c	Runnable graph viz improvements (#20529 ) - Add conditional: bool property to json representation of the graphs - Add option to generate mermaid graph stripped of styles (useful as a text representation of graph)	5 months ago
Nuno Campos	f3aa26d6bf	Fix getattr in runnable binding for cases where config is passed in as arg too (#20528 ) …s arg too Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: 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/docs/integrations` directory. - [ ] 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/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
Leonid Ganeline	45d045b2c5	core[minor], langchain[patch]: `tools` dependencies refactoring (#18759 ) The `langchain.tools` [namespace](https://api.python.langchain.com/en/latest/langchain_api_reference.html#module-langchain.tools) can be completely eliminated by moving one class and 3 functions into `core`. It makes sense since the class and functions are very core.	5 months ago
Ravindu Somawansa	5acc7ba622	community[minor]: Add glue catalog loader (#20220 ) Add Glue Catalog loader	5 months ago
Dawson Bauer	aab075345e	core[patch]: Fix imports defined in messages sub-package (#20500 ) core[patch]: Fix imports defined in messages sub-package (#20500)	5 months ago
Erick Friis	90184255f8	core: release 0.1.43 (#20489 )	5 months ago
Erick Friis	7997f3b7f8	core: forward config params to default (#20402 ) nuno's fault not mine --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Nuno Campos <nuno@langchain.dev>	5 months ago
Nuno Campos	97b2191e99	core: Add concept of conditional edge to graph rendering (#20480 ) - implement for mermaid, graphviz and ascii - this is to be used in langgraph	5 months ago
Ángel Igareta	60c7a17781	Remove logic to exclude intermediate nodes from rendering time (#20459 ) Description: For simplicity, migrate the logic of excluding intermediate nodes in the .get_graph() of langgraph package (https://github.com/langchain-ai/langgraph/pull/310) at graph creation time instead of graph rendering time. Note: #20381 needs to be approved first --------- Co-authored-by: Angel Igareta <angel.igareta@klarna.com> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Nuno Campos <nuno@boringbits.io>	5 months ago
Ángel Igareta	d55a365c6c	Fix CDN URL in mermaid graph renderer (#20381 ) Description of features on mermaid graph renderer: - Fixing CDN to use official Mermaid JS CDN: https://www.jsdelivr.com/package/npm/mermaid?tab=files - Add device_scale_factor to allow increasing quality of resulting PNG.	5 months ago
Alexander Smirnov	ece008f117	docs: Refine RunnablePassthrough docstring (#19812 ) Description: This update refines the documentation for `RunnablePassthrough` by removing an unnecessary import and correcting a minor syntactical error in the example provided. This change enhances the clarity and correctness of the documentation, ensuring that users have a more accurate guide to follow. Issue: N/A Dependencies: None This PR focuses solely on documentation improvements, specifically targeting the `RunnablePassthrough` class within the `langchain_core` module. By clarifying the example provided in the docstring, users are offered a more straightforward and error-free guide to utilizing the `RunnablePassthrough` class effectively. As this is a documentation update, it does not include changes that require new integrations, tests, or modifications to dependencies. It adheres to the guidelines of minimal package interference and backward compatibility, ensuring that the overall integrity and functionality of the LangChain package remain unaffected. Thank you for considering this documentation refinement for inclusion in the LangChain project.	5 months ago
ccurme	38faa74c23	community[patch]: update use of deprecated llm methods (#20393 ) .predict and .predict_messages for BaseLanguageModel and BaseChatModel	5 months ago
Bagatur	f1248f8d9a	core[patch]: configurable init params (#20070 ) Proposed fix for #20061. need to test --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	29282371db	core: bind_tools interface on basechatmodel (#20360 )	5 months ago
Eugene Yurtsev	2900720cd3	core[patch]: Update documentation for base retriever (#20345 ) Updating in code documentation for base retriever to direct folks toward the .invoke and .ainvoke methods + explain how to implement	5 months ago
Eugene Yurtsev	653489a1a9	docs: Update documentation for custom LLMs (#19972 ) Update documentation for customizing LLMs	5 months ago
Bagatur	e72330aacc	core[patch]: Release 0.1.42 (#20332 )	5 months ago
ccurme	795c728f71	mistral[patch]: add IDs to tool calls (#20299 ) Mistral gives us one ID per response, no individual IDs for tool calls. ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_mistralai import ChatMistralAI prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatMistralAI(model="mistral-large-latest", temperature=0) @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Eugene Yurtsev	f02f708f52	core[patch]: For now remove user warning (#20321 ) Remove warning since it creates a lot of noise.	5 months ago
Bagatur	cb25fa0d55	core[patch]: fix ChatGeneration.text with content blocks (#20294 )	5 months ago
Bagatur	03b247cca1	core[patch]: include tool_calls in ai msg chunk serialization (#20291 )	5 months ago
Nuno Campos	15271ac832	core: mustache prompt templates (#19980 ) Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
ccurme	21c1ce0bc1	update agents to use tool call messages (#20074 ) ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_anthropic import ChatAnthropic from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), MessagesPlaceholder("chat_history", optional=True), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatAnthropic(model="claude-3-opus-20240229") @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` ``` > Entering new AgentExecutor chain... Invoking: `magic_function` with `{'input': 3}` responded: [{'text': '<thinking>\nThe user has asked for the value of magic_function applied to the input 3. Looking at the available tools, magic_function is the relevant one to use here, as it takes an integer input and returns an integer output.\n\nThe magic_function has one required parameter:\n- input (integer)\n\nThe user has directly provided the value 3 for the input parameter. Since the required parameter is present, we can proceed with calling the function.\n</thinking>', 'type': 'text'}, {'id': 'toolu_01HsTheJPA5mcipuFDBbJ1CW', 'input': {'input': 3}, 'name': 'magic_function', 'type': 'tool_use'}] 5 Therefore, the value of magic_function(3) is 5. > Finished chain. {'input': 'what is the value of magic_function(3)?', 'output': 'Therefore, the value of magic_function(3) is 5.'} ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Erick Friis	9eb6f538f0	infra, multiple: rc release versions (#20252 )	6 months ago
Bagatur	a43b9e4f33	core[patch]: Pre-release 0.1.42-rc.1 (#20248 )	6 months ago

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432 Commits (748a6ae609d757ff8a0aab0645eed5a6c4989cfa)