langchain

Commit Graph

Author	SHA1	Message	Date
Dmitry Kankalovich	f92738a6f6	langchain[minor], community[minor], core[minor]: Async Cache support and AsyncRedisCache (#15817 ) * This PR adds async methods to the LLM cache. * Adds an implementation using Redis called AsyncRedisCache. * Adds a docker compose file at the /docker to help spin up docker * Updates redis tests to use a context manager so flushing always happens by default	7 months ago
Harrison Chase	19546081c6	templates: add gemini functions agent (#17141 ) Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Bagatur	aeb6b38901	docs: cleanup fleet integration (#17214 ) Causing search issues	7 months ago
Erick Friis	4153837502	google-genai[patch]: release 0.0.7 (#17193 )	7 months ago
Erick Friis	927ab77d6e	google-genai[patch]: no error for FunctionMessage (#17215 ) Both should eventually match this: https://github.com/langchain-ai/langchain/blob/master/libs/partners/google-vertexai/langchain_google_vertexai/chat_models.py#L179 But seems undocumented / can't find types in genai package	7 months ago
Erick Friis	2ecf318218	google-genai[patch]: match function call interface (#17213 ) should match vertex	7 months ago
Erick Friis	e17173c403	google-vertexai[patch]: function calling integration test (#17209 )	7 months ago
Erick Friis	52be84a603	google-vertexai[patch]: serializable citation metadata, release 0.0.4 (#17145 ) was breaking in langserve before	7 months ago
Nuno Campos	19ff81e74f	Fix stream events/log with some kinds of non addable output (#17205 ) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. 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, - 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` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	7 months ago
Bagatur	6f1403b9b6	community[patch]: Release 0.0.19 (#17207 ) Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	a13dc47a08	cli[patch]: copyright 2024 default (#17204 )	7 months ago
Bagatur	00757567ba	core[patch]: Release 0.1.21 (#17202 )	7 months ago
Bagatur	af74301ab9	core[patch], community[patch]: link extraction continue on failure (#17200 )	7 months ago
Henry	2281f00198	langchain: Standardize `output_parser.py` across all agent types for custom `FORMAT_INSTRUCTIONS` (#17168 ) - Description: This PR standardizes the `output_parser.py` file across all agent types to ensure a uniform parsing mechanism is implemented. It introduces a cohesive structure and common interface for output parsing, facilitating easier modifications and extensions by users. The standardized approach enhances maintainability and scalability of the codebase by providing a consistent pattern for output parsing, which can be easily understood and utilized across different agent types. This PR builds upon the foundation set by a previously merged PR, which focused exclusively on standardizing the `output_parser.py` for the `conversational_agent` ([PR #16945](https://github.com/langchain-ai/langchain/pull/16945)). With this new update, I extend the standardization efforts to encompass `output_parser.py` files across all agent types. This enhancement not only unifies the parsing mechanism across the board but also introduces the flexibility for users to incorporate custom `FORMAT_INSTRUCTIONS`. - Issue: https://github.com/langchain-ai/langchain/issues/10721 https://github.com/langchain-ai/langchain/issues/4044 - Dependencies: No new dependencies required for this change - Twitter handle: With my github user is enough. Thanks I hope you accept my PR.	7 months ago
Erick Friis	1cf5a5858f	remove pg_essay.txt (#17198 ) Added in #16159	7 months ago
Tomaz Bratanic	ecf8042a10	templates: Add neo4j semantic layer with ollama template (#17192 ) A template with JSON-based agent using Mixtral via Ollama. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	f87acf0340	infra: better conditional (#17197 )	7 months ago
Erick Friis	4ae91733aa	infra: fix core release (#17195 ) core doesn't have any min deps to test	7 months ago
Bagatur	78409634fe	core[patch]: Release 0.1.20 (#17194 )	7 months ago
Nuno Campos	65798289a4	core[minor]: Use batched tracing in sdk (#16305 ) Remove threadpool executor usage in langchain tracer, this is now handled by sdk	7 months ago
chyroc	f87b38a559	google-genai[minor]: support functions call (#15146 ) Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Tomaz Bratanic	302989a2b1	allow optional newline in the action responses of JSON Agent parser (#17186 ) Based on my experiments, the newline isn't always there, so we can make the regex slightly more robust by allowing an optional newline after the bacticks	7 months ago
William FH	9fa07076da	Add trace_as_chain_group metadata (#17187 )	7 months ago
Leonid Ganeline	5ceaf784f3	docs `Integraions/Components` menu reordered (#17151 ) This PR is opinionated. - Moved `Embedding models` item to place after `LLMs` and `Chat model`, so all items with models are together. - Renamed `Text embedding models` to `Embedding models`. Now, it is shorter and easier to read. `Text` is obvious from context. The same as the `Text LLMs` vs. `LLMs` (we also have multi-modal LLMs).	7 months ago
Leonid Ganeline	0af0fc5d25	docs `integraions/providers` nav fix (#17148 ) Issue: `Provides` page is presented as the index page (on the `Providers` item) and as the `Providers/Providers` item. The latter should not be in the menu. See the picture. ![image](https://github.com/langchain-ai/langchain/assets/2256422/6894023f-f13a-4f0d-8fe2-ed5b0ae2bdd2) This PR fixes this.	7 months ago
Leonid Ganeline	bf55279d39	docs: tutorials update (#17132 ) Added the course and the one-pager links	7 months ago
Erick Friis	f499a222de	infra: release min version debugging 2 (#17152 )	7 months ago
Erick Friis	deb02de051	infra: release min version debugging (#17150 )	7 months ago
Erick Friis	9710346095	infra: poetry run min versions 2 (#17149 )	7 months ago
Erick Friis	181a033226	infra: poetry run min versions (#17146 ) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. 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, - 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` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	7 months ago
Erick Friis	d397721a34	docs: format (#17143 )	7 months ago
Erick Friis	2187268208	infra: fix release (#17142 )	7 months ago
Erick Friis	3e58df43c2	mistralai[patch]: release 0.0.4 (#17139 )	7 months ago
Erick Friis	22b6a03a28	infra: read min versions (#17135 )	7 months ago
Erick Friis	f881a3330c	mistralai[patch]: 16k token batching logic embed (#17136 )	7 months ago
Arno Schutijzer	863f96b2e0	docs: fix typo in ollama notebook (#17127 ) - Description: typo fix in ollama notebook	7 months ago
Leonid Ganeline	42c812a549	API References sorted `Partner libs` menu (#17130 ) The `Partner libs` menu is not sorted. Now it is long enough, and items should be sorted to simplify a package search. - Sorted items in the `Partner libs` menu	7 months ago
Bagatur	226f376d59	community[patch]: Release 0.0.18 (#17129 ) Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	37062549f9	infra: update to cache v4 (#17126 ) stop using nodejs 16. Use 20 (stop deprecation annotation on all ci) Changelog: https://github.com/actions/cache?tab=readme-ov-file#whats-new	7 months ago
Erick Friis	980e30c361	nvidia-ai-endpoints[patch]: release 0.0.2 (#17125 )	7 months ago
Erick Friis	15bd1154a7	pinecone[patch]: integration test new namespace (#17121 )	7 months ago
Erick Friis	3ccffa5dcc	infra: add integration deps to partner lint (#17122 )	7 months ago
Mikhail Khludnev	14ff1438e6	nvidia-trt[patch]: propagate InferenceClientException to the caller. (#16936 ) - Description: before the change I've got 1. propagate InferenceClientException to the caller. 2. stop grpc receiver thread on exception ``` for token in result_queue: > result_str += token E TypeError: can only concatenate str (not "InferenceServerException") to str ../../langchain_nvidia_trt/llms.py:207: TypeError ``` And stream thread keeps running. after the change request thread stops correctly and caller got a root cause exception: ``` E tritonclient.utils.InferenceServerException: [request id: 4529729] expected number of inputs between 2 and 3 but got 10 inputs for model 'vllm_model' ../../langchain_nvidia_trt/llms.py:205: InferenceServerException ``` - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - Twitter handle: [t.me/mkhl_spb](https://t.me/mkhl_spb) I'm not sure about test coverage. Should I setup deep mocks or there's a kind of triton stub via testcontainers or so.	7 months ago
Erick Friis	6af912d7e0	infra: add pinecone secret (#17120 )	7 months ago
Junyoung Park	1ed73f1992	community[minor]: Add SelfQueryRetriever support to PGVector (#16991 ) - Description: Add SelfQueryRetriever support to PGVector - Issue: - - Dependencies: - - Twitter handle: - --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Bagatur	cd945e3a5b	core[patch]: Release 0.1.19 (#17117 )	7 months ago
Frank	ef082c77b1	community[minor]: add github file loader to load any github file content b… (#15305 ) ### Description support load any github file content based on file extension. Why not use [git loader](https://python.langchain.com/docs/integrations/document_loaders/git#load-existing-repository-from-disk) ? git loader clones the whole repo even only interested part of files, that's too heavy. This GithubFileLoader only downloads that you are interested files. ### Twitter handle my twitter: @shufanhaotop --------- Co-authored-by: Hao Fan <h_fan@apple.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
老阿張	ac662b3698	docs: Fix typo in amadeus.ipynb (#16916 ) Description: "enviornment should be environment"? 🤔 Issue: Typo Dependencies: Nope Twitter handle: laoazhang	7 months ago
Henry	eaeb8a5f71	langchain[patch]: `output_parser.py` in conversation_chat is customizable (#16945 ) Description: With this modification, users can customize the `FORMAT_INSTRUCTIONS` template, allowing them to create their own prompts As it is happening in [this](https://github.com/langchain-ai/langchain/issues/10721) issue, the `FORMAT_INSTRUCTIONS` is not customizable for the output parser, unless you create your own class `ConvoOutputParser`. To avoid this, a modification was done, creating a `format_instruction` variable that users can customize with ease after initialize the agent. For example: ``` agent = initialize_agent( agent = AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, tools = tools, llm = llm_agent, verbose = True, max_iterations = 3, early_stopping_method = 'generate', memory = b_w_memory, handle_parsing_errors = True, agent_kwargs={ 'system_message':PREFIX, 'human_message':SUFFIX, 'template_tool_response':TEMPLATE_TOOL_RESPONSE, } ) agent.agent.output_parser.format_instructions = "MY CUSTOM FORMAT INSTRUCTIONS" print(agent.agent.output_parser.get_format_instructions()) MY CUSTOM FORMAT INSTRUCTIONS ``` Other parameters like `system_message`, `human_message`, or `template_tool_response` are already customizable and with this PR, the last parameter `FORMAT_INSTRUCTIONS` in `langchain.agents.conversational_chat.prompt` can be modified. Issue: https://github.com/langchain-ai/langchain/issues/10721 Dependencies: No new dependencies required for this change Twitter handle: With my github user is enough. Thanks I hope you accept my PR. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Ryan Kraus	f027696b5f	community: Added new Utility runnables for NVIDIA Riva. (#15966 ) Please tag this issue with `nvidia_genai` - Description: Added new Runnables for integration NVIDIA Riva into LCEL chains for Automatic Speech Recognition (ASR) and Text To Speech (TTS). - Issue: N/A - Dependencies: To use these runnables, the NVIDIA Riva client libraries are required. It they are not installed, an error will be raised instructing how to install them. The Runnables can be safely imported without the riva client libraries. - Twitter handle: N/A All of the Riva Runnables are inside a single folder in the Utilities module. In this folder are four files: - common.py - Contains all code that is common to both TTS and ASR - stream.py - Contains a class representing an audio stream that allows the end user to put data into the stream like a queue. - asr.py - Contains the RivaASR runnable - tts.py - Contains the RivaTTS runnable The following Python function is an example of creating a chain that makes use of both of these Runnables: ```python def create( config: Configuration, audio_encoding: RivaAudioEncoding, sample_rate: int, audio_channels: int = 1, ) -> Runnable[ASRInputType, TTSOutputType]: """Create a new instance of the chain.""" _LOGGER.info("Instantiating the chain.") # create the riva asr client riva_asr = RivaASR( url=str(config.riva_asr.service.url), ssl_cert=config.riva_asr.service.ssl_cert, encoding=audio_encoding, audio_channel_count=audio_channels, sample_rate_hertz=sample_rate, profanity_filter=config.riva_asr.profanity_filter, enable_automatic_punctuation=config.riva_asr.enable_automatic_punctuation, language_code=config.riva_asr.language_code, ) # create the prompt template prompt = PromptTemplate.from_template("{user_input}") # model = ChatOpenAI() model = ChatNVIDIA(model="mixtral_8x7b") # type: ignore # create the riva tts client riva_tts = RivaTTS( url=str(config.riva_asr.service.url), ssl_cert=config.riva_asr.service.ssl_cert, output_directory=config.riva_tts.output_directory, language_code=config.riva_tts.language_code, voice_name=config.riva_tts.voice_name, ) # construct and return the chain return {"user_input": riva_asr} \| prompt \| model \| riva_tts # type: ignore ``` The following code is an example of creating a new audio stream for Riva: ```python input_stream = AudioStream(maxsize=1000) # Send bytes into the stream for chunk in audio_chunks: await input_stream.aput(chunk) input_stream.close() ``` The following code is an example of how to execute the chain with RivaASR and RivaTTS ```python output_stream = asyncio.Queue() while not input_stream.complete: async for chunk in chain.astream(input_stream): output_stream.put(chunk) ``` Everything should be async safe and thread safe. Audio data can be put into the input stream while the chain is running without interruptions. --------- Co-authored-by: Hayden Wolff <hwolff@nvidia.com> Co-authored-by: Hayden Wolff <hwolff@Haydens-Laptop.local> Co-authored-by: Hayden Wolff <haydenwolff99@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago

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