langchain

Commit Graph

Author	SHA1	Message	Date
Moonsik Kang	a0281f5acb	Fixed typo: 'ouput' to 'output' in all documentation (#5272 ) # Fixed typo: 'ouput' to 'output' in all documentation In this instance, the typo 'ouput' was amended to 'output' in all occurrences within the documentation. There are no dependencies required for this change.	1 year ago
UmerHA	e257380deb	Typos (#4851 ) # Fixed typos (issues #4818 & #4668 & more typos) - At some places, it said `model = ChatOpenAI(model='gpt-3.5-turbo')` but should be `model = ChatOpenAI(model_name='gpt-3.5-turbo')` - Fixes some other typos Fixes #4818, #4668 ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot	1 year ago
Chandan Routray	e8d46bdd9b	Replaced `SQLDatabaseChain` deprecated direct initialisation with `from_llm` method (#4778 ) # Removed usage of deprecated methods Replaced `SQLDatabaseChain` deprecated direct initialisation with `from_llm` method ## Who can review? @hwchase17 @agola11 --------- Co-authored-by: imeckr <chandanroutray2012@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Prateek K. Keshari	61f9c52fc7	Update twitter-the-algorithm-analysis-deeplake.ipynb (#4812 ) Changed model to model_name	1 year ago
Leonid Ganeline	a6f3ec94bc	docs: added `additional_resources` folder (#4748 ) # docs: added `additional_resources` folder The additional resource files were inside the doc top-level folder, which polluted the top-level folder. - added the `additional_resources` folder and moved correspondent files to this folder; - fixed a broken link to the "Model comparison" page (model_laboratory notebook) - fixed a broken link to one of the YouTube videos (sorry, it is not directly related to this PR) ## Who can review? @dev2049	1 year ago
Zander Chase	d96f6a106b	Add Steamship Image Generation Tool (#4580 ) Co-authored-by: Enias Cailliau <enias@steamship.com>	1 year ago
mbchang	9fafe7b2b9	fix: remove unnecessary line of code (#4408 ) Removes unnecessary line of code in https://python.langchain.com/en/latest/use_cases/agent_simulations/two_agent_debate_tools.html	1 year ago
mbchang	f1401a6dff	new example: two agent debate with tools (#4024 )	1 year ago
PawelFaron	bb6d97c18c	Fixed the example code (#4117 ) Fixed the issue mentioned here: https://github.com/hwchase17/langchain/issues/3799#issuecomment-1534785861 Co-authored-by: Pawel Faron <ext-pawel.faron@vaisala.com>	1 year ago
Harrison Chase	087a4bd2b8	improve agent documentation (#4062 )	1 year ago
mbchang	cdea47491d	refactor: refactor dialogue examples (DialogueAgent, DialogueSimulator) (#4074 ) refactor dialogue examples to have same DialogueAgent and DialogueSimulator definitions	1 year ago
mbchang	f291fd7eed	docs: remove stdout from pip install (for gymnasium) (#3993 )	1 year ago
mbchang	3993166b5e	docs: remove stdout from pip install (#3945 )	1 year ago
liviuasnash1	6396a4ad8d	Fix documentation typos (#3870 ) Co-authored-by: Liviu Asnash <liviua@maximallearning.com>	1 year ago
mbchang	ffc87233a1	refactor GymnasiumAgent (#3927 ) refactor GymnasiumAgent (for single-agent environments) to be extensible to PettingZooAgent (multi-agent environments)	1 year ago
mbchang	81601d886c	new example: multi-agent simulations with environment (#3928 )	1 year ago
mbchang	3e1cb31f63	fix: add import for gymnasium (#3899 )	1 year ago
mbchang	adcad98bee	fix: fix filepath error in agent simulations docs (#3795 )	1 year ago
mbchang	4eefea0fe8	new example: single agent, simulated environment (openai gym) (#3758 ) For many applications of LLM agents, the environment is real (internet, database, REPL, etc). However, we can also define agents to interact in simulated environments like text-based games. This is an example of how to create a simple agent-environment interaction loop with [Gymnasium](https://github.com/Farama-Foundation/Gymnasium) (formerly [OpenAI Gym](https://github.com/openai/gym)).	1 year ago
Harrison Chase	c55ba43093	Harrison/vespa (#3761 ) Co-authored-by: Lester Solbakken <lesters@users.noreply.github.com>	1 year ago
mbchang	1da3ee1386	Multiagent authoritarian (#3686 ) This notebook showcases how to implement a multi-agent simulation where a privileged agent decides who to speak. This follows the polar opposite selection scheme as [multi-agent decentralized speaker selection](https://python.langchain.com/en/latest/use_cases/agent_simulations/multiagent_bidding.html). We show an example of this approach in the context of a fictitious simulation of a news network. This example will showcase how we can implement agents that - think before speaking - terminate the conversation	1 year ago
mbchang	3b7d27d39e	new example: multiagent dialogue with decentralized speaker selection (#3629 ) This notebook showcases how to implement a multi-agent simulation without a fixed schedule for who speaks when. Instead the agents decide for themselves who speaks. We can implement this by having each agent bid to speak. Whichever agent's bid is the highest gets to speak. We will show how to do this in the example below that showcases a fictitious presidential debate.	1 year ago
Zander Chase	443a893ffd	Align names of search tools (#3620 ) Tools for Bing, DDG and Google weren't consistent even though the underlying implementations were. All three services now have the same tools and implementations to easily switch and experiment when building chains.	1 year ago
Harrison Chase	d880775e5d	Harrison/plugnplai (#3573 ) Co-authored-by: Eduardo Reis <edu.pontes@gmail.com>	1 year ago
CG80499	cfd34e268e	Add ReAct eval chain (#3161 ) - Adds GPT-4 eval chain for arbitrary agents using any set of tools - Adds notebook --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
mbchang	4bc209c6f7	example: multi player dnd (#3560 ) This notebook shows how the DialogueAgent and DialogueSimulator class make it easy to extend the [Two-Player Dungeons & Dragons example](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html) to multiple players. The main difference between simulating two players and multiple players is in revising the schedule for when each agent speaks To this end, we augment DialogueSimulator to take in a custom function that determines the schedule of which agent speaks. In the example below, each character speaks in round-robin fashion, with the storyteller interleaved between each player.	1 year ago
Filip Michalsky	49593a3e41	Notebook example: Context-Aware AI Sales Agent (#3547 ) I would like to contribute with a jupyter notebook example implementation of an AI Sales Agent using `langchain`. The bot understands the conversation stage (you can define your own stages fitting your needs) using two chains: 1. StageAnalyzerChain - takes context and LLM decides what part of sales conversation is one in 2. SalesConversationChain - generate next message Schema: https://images-genai.s3.us-east-1.amazonaws.com/architecture2.png my original repo: https://github.com/filip-michalsky/SalesGPT This example creates a sales person named Ted Lasso who is trying to sell you mattresses. Happy to update based on your feedback. Thanks, Filip https://twitter.com/FilipMichalsky	1 year ago
mbchang	628e93a9a0	docs: simplification of two agent d&d simulation (#3550 ) Simplifies the [Two Agent D&D](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html) example with a cleaner, simpler interface that is extensible for multiple agents. `DialogueAgent`: - `send()`: applies the chatmodel to the message history and returns the message string - `receive(name, message)`: adds the `message` spoken by `name` to message history The `DialogueSimulator` class takes a list of agents. At each step, it performs the following: 1. Select the next speaker 2. Calls the next speaker to send a message 3. Broadcasts the message to all other agents 4. Update the step counter. The selection of the next speaker can be implemented as any function, but in this case we simply loop through the agents.	1 year ago
mbchang	a08e9a3109	Docs: fix naming typo (#3532 )	1 year ago
mbchang	831ca61481	docs: two_player_dnd docs (#3528 )	1 year ago
mbchang	29f321046e	doc: add two player D&D game (#3476 ) In this notebook, we show how we can use concepts from [CAMEL](https://www.camel-ai.org/) to simulate a role-playing game with a protagonist and a dungeon master. To simulate this game, we create a `TwoAgentSimulator` class that coordinates the dialogue between the two agents.	1 year ago
Harrison Chase	bdb5f2f9fb	update notebook	1 year ago
mbchang	82845e3821	add meta-prompt to autonomous agents use cases (#3254 ) An implementation of [meta-prompt](https://noahgoodman.substack.com/p/meta-prompt-a-simple-self-improving), where the agent modifies its own instructions across episodes with a user. ![figure](https://substackcdn.com/image/fetch/f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F468217b9-96d9-47c0-a08b-dbf6b21b9f49_492x384.png)	1 year ago
Davit Buniatyan	2c0023393b	Deep Lake mini upgrades (#3375 ) Improvements * set default num_workers for ingestion to 0 * upgraded notebooks for avoiding dataset creation ambiguity * added `force_delete_dataset_by_path` * bumped deeplake to 3.3.0 * creds arg passing to deeplake object that would allow custom S3 Notes * please double check if poetry is not messed up (thanks!) Asks * Would be great to create a shared slack channel for quick questions --------- Co-authored-by: Davit Buniatyan <d@activeloop.ai>	1 year ago
Zander Chase	738ee56b86	Move Generative Agent definition to Experimental (#3245 ) Extending @BeautyyuYanli 's #3220 to move from the notebook --------- Co-authored-by: BeautyyuYanli <beautyyuyanli@gmail.com>	1 year ago
Zander Chase	73bc70b4fa	Update marathon notebook (#3408 ) Fixes #3404	1 year ago
Harrison Chase	8191c6b81a	Harrison/voice assistant (#3347 ) Co-authored-by: Jaden <jaden.lorenc@gmail.com>	1 year ago
Harrison Chase	5ef2d1e2a1	add to docs	1 year ago
Harrison Chase	2dbb5261b5	wikibase agent	1 year ago
Zander Chase	74342ab209	Update the marathon notebook (#3183 ) There were some steps that didn't make sense. Update now. This time it produced a nice markdown formatted table too	1 year ago
Harrison Chase	99b1983461	add example	1 year ago
Zander Chase	89c63cf8a6	Add Marathon Notebook (#3163 ) Add an example using autogpt to get the boston marathon winning times Add a web browser + summarization tool in the notebook	1 year ago
Quentin Pleplé	126d7f11dd	Fix notebook example (#3142 ) The following calls were throwing an exception: `575b717d10/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb`?short_path=4b3386c#L192 `575b717d10/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb`?short_path=4b3386c#L239 Exception: ``` --------------------------------------------------------------------------- ValidationError Traceback (most recent call last) Cell In[14], line 1 ----> 1 chain_sota = RetrievalQA.from_chain_type(llm=OpenAI(temperature=0), chain_type="stuff", retriever=vectorstore_sota, input_key="question") File ~/github/langchain/venv/lib/python3.9/site-packages/langchain/chains/retrieval_qa/base.py:89, in BaseRetrievalQA.from_chain_type(cls, llm, chain_type, chain_type_kwargs, kwargs) 85 _chain_type_kwargs = chain_type_kwargs or {} 86 combine_documents_chain = load_qa_chain( 87 llm, chain_type=chain_type, _chain_type_kwargs 88 ) ---> 89 return cls(combine_documents_chain=combine_documents_chain, *kwargs) File ~/github/langchain/venv/lib/python3.9/site-packages/pydantic/main.py:341, in pydantic.main.BaseModel.__init__() ValidationError: 1 validation error for RetrievalQA retriever instance of BaseRetriever expected (type=type_error.arbitrary_type; expected_arbitrary_type=BaseRetriever) ``` The vectorstores had to be converted to retrievers: `vectorstore_sota.as_retriever()` and `vectorstore_pg.as_retriever()`. The PR also: - adds the file `paul_graham_essay.txt` referenced by this notebook - adds to gitignore .pkl and *.bin files that are generated by this notebook Interestingly enough, the performance of the prediction greatly increased (new version of langchain or ne version of OpenAI models since the last run of the notebook): from 19/33 correct to 28/33 correct!	1 year ago
Harrison Chase	b7dc04c086	fix links	1 year ago
Harrison Chase	364257d967	agent docs fixes (#3128 )	1 year ago
Zander Chase	f329196cf4	Agents 4 18 (#3122 ) Creating an experimental agents folder, containing BabyAGI, AutoGPT, and later, other examples --------- Co-authored-by: Rahul Behal <rahulbehal01@hotmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	aad0a498ac	Harrison/output error (#3094 ) Co-authored-by: yummydum <sumita@nowcast.co.jp>	1 year ago
Harrison Chase	eee2f23a79	Harrison/qa eg (#3052 ) Co-authored-by: Sukhpal Saini <bdcorps@users.noreply.github.com>	1 year ago
vowelparrot	2356447323	Update Characters notebook (#3019 ) - Most important - fixes the relevance_fn name in the notebook to align with the docs - Updates comments for the summary: <img width="787" alt="image" src="https://user-images.githubusercontent.com/130414180/232520616-2a99e8c3-a821-40c2-a0d5-3f3ea196c9bb.png"> - The new conversation is a bit better, still unfortunate they try to schedule a followup. - Rm the max dialogue turns argument to the conversation function	1 year ago
Harrison Chase	e54f1b69ca	add notebook	1 year ago

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102 Commits (c1807d84086c92d1aea2eb7be181204e72ae10d0)