langchain

Commit Graph

Author	SHA1	Message	Date
Matt Wells	1d861dc37a	MRKL output parser no longer breaks well formed queries (#5432 ) # Handles the edge scenario in which the action input is a well formed SQL query which ends with a quoted column There may be a cleaner option here (or indeed other edge scenarios) but this seems to robustly determine if the action input is likely to be a well formed SQL query in which we don't want to arbitrarily trim off `"` characters Fixes #5423 ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Agents / Tools / Toolkits - @vowelparrot	1 year ago
Deepak S V	5cd12102be	Improving Resilience of MRKL Agent (#5014 ) This is a highly optimized update to the pull request https://github.com/hwchase17/langchain/pull/3269 Summary: 1) Added ability to MRKL agent to self solve the ValueError(f"Could not parse LLM output: `{llm_output}`") error, whenever llm (especially gpt-3.5-turbo) does not follow the format of MRKL Agent, while returning "Action:" & "Action Input:". 2) The way I am solving this error is by responding back to the llm with the messages "Invalid Format: Missing 'Action:' after 'Thought:'" & "Invalid Format: Missing 'Action Input:' after 'Action:'" whenever Action: and Action Input: are not present in the llm output respectively. For a detailed explanation, look at the previous pull request. New Updates: 1) Since @hwchase17 , requested in the previous PR to communicate the self correction (error) message, using the OutputParserException, I have added new ability to the OutputParserException class to store the observation & previous llm_output in order to communicate it to the next Agent's prompt. This is done, without breaking/modifying any of the functionality OutputParserException previously performs (i.e. OutputParserException can be used in the same way as before, without passing any observation & previous llm_output too). --------- Co-authored-by: Deepak S V <svdeepak99@users.noreply.github.com>	1 year ago
Harrison Chase	88a3a56c1a	Add Spark SQL support (#4602 ) (#4956 ) # Add Spark SQL support * Add Spark SQL support. It can connect to Spark via building a local/remote SparkSession. * Include a notebook example I tried some complicated queries (window function, table joins), and the tool works well. Compared to the [Spark Dataframe agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/spark.html), this tool is able to generate queries across multiple tables. --------- # Your PR Title (What it does) <!-- Thank you for contributing to LangChain! Your PR will appear in our next release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. --> <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting <!-- If you're adding a new integration, include an integration test and an example notebook showing its use! --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Gengliang Wang <gengliang@apache.org> Co-authored-by: Mike W <62768671+skcoirz@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: UmerHA <40663591+UmerHA@users.noreply.github.com> Co-authored-by: 张城铭 <z@hyperf.io> Co-authored-by: assert <zhangchengming@kkguan.com> Co-authored-by: blob42 <spike@w530> Co-authored-by: Yuekai Zhang <zhangyuekai@foxmail.com> Co-authored-by: Richard He <he.yucheng@outlook.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Leonid Ganeline <leo.gan.57@gmail.com> Co-authored-by: Alexey Nominas <60900649+Chae4ek@users.noreply.github.com> Co-authored-by: elBarkey <elbarkey@gmail.com> Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com> Co-authored-by: Jeffrey D <1289344+verygoodsoftwarenotvirus@users.noreply.github.com> Co-authored-by: so2liu <yangliu35@outlook.com> Co-authored-by: Viswanadh Rayavarapu <44315599+vishwa-rn@users.noreply.github.com> Co-authored-by: Chakib Ben Ziane <contact@blob42.xyz> Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com> Co-authored-by: Daniel Chalef <daniel.chalef@private.org> Co-authored-by: Jari Bakken <jari.bakken@gmail.com> Co-authored-by: escafati <scafatieugenio@gmail.com>	1 year ago
Harrison Chase	fbfa49f2c1	agent serialization (#4642 )	1 year ago
Zander Chase	d969f43ed8	Load HuggingFace Tool (#4475 ) # Add option to `load_huggingface_tool` Expose a method to load a huggingface Tool from the HF hub --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	04475bea7d	Mv plan and execute to experimental (#4459 )	1 year ago
Harrison Chase	6b8d144ccc	Harrison/plan and solve (#4422 )	1 year ago
Zander Chase	35c9e6ab40	Pass Callbacks through load_tools (#4298 ) - Update the load_tools method to properly accept `callbacks` arguments. - Add a deprecation warning when `callback_manager` is passed - Add two unit tests to check the deprecation warning is raised and to confirm the callback is passed through. Closes issue #4096	1 year ago
Zander Chase	2f087d63af	Fix Python RePL Tool (#4137 ) Filter out kwargs from inferred schema when determining if a tool is single input. Add a couple unit tests. Move tool unit tests to the tools dir	1 year ago
Mike Wang	67db495fcf	[agent] Add Spark Agent (#4020 ) - added support for spark through pyspark library. - added jupyter notebook as example.	1 year ago
Zander Chase	afa9d1292b	Re-Permit Partials in `Tool` (#4058 ) Resolved issue #4053 Now that StructuredTool is a separate class, this constraint is no longer needed. Added/updated a unit test	1 year ago
Zander Chase	c582f2e9e3	Add Structure Chat Agent (#3912 ) Create a new chat agent that is compatible with the Multi-input tools	1 year ago
Zander Chase	9b9b231e10	Update some Tools Docs (#3913 ) Haven't gotten to all of them, but this: - Updates some of the tools notebooks to actually instantiate a tool (many just show a 'utility' rather than a tool. More changes to come in separate PR) - Move the `Tool` and decorator definitions to `langchain/tools/base.py` (but still export from `langchain.agents`) - Add scene explain to the load_tools() function - Add unit tests for public apis for the langchain.tools and langchain.agents modules	1 year ago
Zander Chase	84ea17b786	Move Tool Validation (#3923 ) Move tool validation to each implementation of the Agent. Another alternative would be to adjust the `_validate_tools()` signature to accept the output parser (and format instructions) and add logic there. Something like `parser.outputs_structured_actions(format_instructions)` But don't think that's needed right now.	1 year ago
Ankush Gola	d3ec00b566	Callbacks Refactor [base] (#3256 ) Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com> Co-authored-by: Zander Chase <130414180+vowelparrot@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Mike Wang	512c24fc9c	[annotation improvement] Make AgentType->Class Conversion More Scalable (#3749 ) In the current solution, AgentType and AGENT_TO_CLASS are placed in two separate files and both manually maintained. This might cause inconsistency when we update either of them. — latest — based on the discussion with hwchase17, we don’t know how to further use the newly introduced AgentTypeConfig type, so it doesn’t make sense yet to add it. Instead, it’s better to move the dictionary to another file to keep the loading.py file clear. The consistency is a good point. Instead of asserting the consistency during linting, we added a unittest for consistency check. I think it works as auto unittest is triggered every time with clear failure notice. (well, force push is possible, but we all know what we are doing, so let’s show trust. :>) ~~This PR includes~~ - ~~Introduced AgentTypeConfig as the source of truth of all AgentType related meta data.~~ - ~~Each AgentTypeConfig is a annotated class type which can be used for annotation in other places.~~ - ~~Each AgentTypeConfig can be easily extended when we have more meta data needs.~~ - ~~Strong assertion to ensure AgentType and AGENT_TO_CLASS are always consistent.~~ - ~~Made AGENT_TO_CLASS automatically generated.~~ ~~Test Plan:~~ - ~~since this change is focusing on annotation, lint is the major test focus.~~ - ~~lint, format and test passed on local.~~	1 year ago
Zander Chase	da7b51455c	Dynamic tool -> single purpose (#3697 ) I think the logic of https://github.com/hwchase17/langchain/pull/3684#pullrequestreview-1405358565 is too confusing. I prefer this alternative because: - All `Tool()` implementations by default will be treated the same as before. No breaking changes. - Less reliance on pydantic magic - The decorator (which only is typed as returning a callable) can infer schema and generate a structured tool - Either way, the recommended way to create a custom tool is through inheriting from the base tool	1 year ago
Zander Chase	4654c58f72	Add validation on agent instantiation for multi-input tools (#3681 ) Tradeoffs here: - No lint-time checking for compatibility - Differs from JS package - The signature inference, etc. in the base tool isn't simple - The `args_schema` is optional Pros: - Forwards compatibility retained - Doesn't break backwards compatibility - User doesn't have to think about which class to subclass (single base tool or dynamic `Tool` interface regardless of input) - No need to change the load_tools, etc. interfaces Co-authored-by: Hasan Patel <mangafield@gmail.com>	1 year ago
Mindaugas Sharskus	a4d85f7fd5	[Fix #3365 ]: Changed regex to cover new line before action serious (#3367 ) Fix for: [Changed regex to cover new line before action serious.](https://github.com/hwchase17/langchain/issues/3365) --- This PR fixes the issue where `ValueError: Could not parse LLM output:` was thrown on seems to be valid input. Changed regex to cover new lines before action serious (after the keywords "Action:" and "Action Input:"). regex101: https://regex101.com/r/CXl1kB/1 --------- Co-authored-by: msarskus <msarskus@cisco.com>	1 year ago
Zander Chase	49122a96e7	Structured Tool Bugfixes (#3324 ) - Proactively raise error if a tool subclasses BaseTool, defines its own schema, but fails to add the type-hints - fix the auto-inferred schema of the decorator to strip the unneeded virtual kwargs from the schema dict Helps avoid silent instances of #3297	1 year ago
Zander Chase	90ef705ced	Update Tool Input (#3103 ) - Remove dynamic model creation in the `args()` property. _Only infer for the decorator (and add an argument to NOT infer if someone wishes to only pass as a string)_ - Update the validation example to make it less likely to be misinterpreted as a "safe" way to run a repl There is one example of "Multi-argument tools" in the custom_tools.ipynb from yesterday, but we could add more. The output parsing for the base MRKL agent hasn't been adapted to handle structured args at this point in time --------- 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	db968284f8	tools refactor (#2961 ) Co-authored-by: vowelparrot <130414180+vowelparrot@users.noreply.github.com>	1 year ago
Harrison Chase	e12e00df12	use output parsers in agents (#2987 )	1 year ago
Harrison Chase	705596b46a	Harrison/fix create sql agent (#2870 ) Co-authored-by: Timothé Pearce <timothe.pearce@gmail.com>	1 year ago
Zach Jones	13d1df2140	Feature: AgentExecutor execution time limit (#2399 ) `AgentExecutor` already has support for limiting the number of iterations. But the amount of time taken for each iteration can vary quite a bit, so it is difficult to place limits on the execution time. This PR adds a new field `max_execution_time` to the `AgentExecutor` model. When called asynchronously, the agent loop is wrapped in an `asyncio.timeout()` context which triggers the early stopping response if the time limit is reached. When called synchronously, the agent loop checks for both the max_iteration limit and the time limit after each iteration. When used asynchronously `max_execution_time` gives really tight control over the max time for an execution chain. When used synchronously, the chain can unfortunately exceed max_execution_time, but it still gives more control than trying to estimate the number of max_iterations needed to cap the execution time. --------- Co-authored-by: Zachary Jones <zjones@zetaglobal.com>	1 year ago
leo-gan	fd69cc7e42	Removed duplicate BaseModel dependencies (#2471 ) Removed duplicate BaseModel dependencies in class inheritances. Also, sorted imports by `isort`.	1 year ago
Harrison Chase	c7b083ab56	bump version to 131 (#2391 )	1 year ago
Shrined	10dab053b4	Add Enum for agent types (#2321 ) This pull request adds an enum class for the various types of agents used in the project, located in the `agent_types.py` file. Currently, the project is using hardcoded strings for the initialization of these agents, which can lead to errors and make the code harder to maintain. With the introduction of the new enums, the code will be more readable and less error-prone. The new enum members include: - ZERO_SHOT_REACT_DESCRIPTION - REACT_DOCSTORE - SELF_ASK_WITH_SEARCH - CONVERSATIONAL_REACT_DESCRIPTION - CHAT_ZERO_SHOT_REACT_DESCRIPTION - CHAT_CONVERSATIONAL_REACT_DESCRIPTION In this PR, I have also replaced the hardcoded strings with the appropriate enum members throughout the codebase, ensuring a smooth transition to the new approach.	1 year ago
Harrison Chase	5c907d9998	Harrison/base agent without docs (#2166 )	1 year ago
Harrison Chase	f5a4bf0ce4	remove prep (#2136 ) agents should be stateless or async stuff may not work	1 year ago
Harrison Chase	9e74df2404	Fix issue#1645: Parse llm_output even there's newline (#2092 ) (#2099 ) Fix issue#1645: Parse either whitespace or newline after 'Action Input:' in llm_output in mrkl agent. Unittests added accordingly. Co-authored-by: ₿ingnan.ΞTH <brillliantz@outlook.com>	1 year ago
blob42	b7f392fdd6	[agent_executor] convenience func: lookup tool by name (#2001 ) A quick convenience function to lookup a tool by name Co-authored-by: blob42 <spike@w530>	1 year ago
Harrison Chase	aed9f9febe	Harrison/return intermediate (#1633 ) Co-authored-by: Mario Kostelac <mario@intercom.io>	2 years ago
Harrison Chase	b7708bbec6	rfc: callback changes (#1165 ) conceptually, no reason a tool should know what an "agent action" is unless any objections, can change in all callback handlers	2 years ago
Ankush Gola	7b5e160d28	Make Tools own model, add ToolKit Concept (#1095 ) Follow-up of @hinthornw's PR: - Migrate the Tool abstraction to a separate file (`BaseTool`). - `Tool` implementation of `BaseTool` takes in function and coroutine to more easily maintain backwards compatibility - Add a Toolkit abstraction that can own the generation of tools around a shared concept or state --------- Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Francisco Ingham <fpingham@gmail.com> Co-authored-by: Dhruv Anand <105786647+dhruv-anand-aintech@users.noreply.github.com> Co-authored-by: cragwolfe <cragcw@gmail.com> Co-authored-by: Anton Troynikov <atroyn@users.noreply.github.com> Co-authored-by: Oliver Klingefjord <oliver@klingefjord.com> Co-authored-by: William Fu-Hinthorn <whinthorn@Williams-MBP-3.attlocal.net> Co-authored-by: Bruno Bornsztein <bruno.bornsztein@gmail.com>	2 years ago
Jason Liu	54f9e4287f	Pass kwargs from initialize_agent into agent classmethod (#799 ) # Problem I noticed that in order to change the prefix of the prompt in the `zero-shot-react-description` agent we had to dig around to subset strings deep into the agent's attributes. It requires the user to inspect a long chain of attributes and classes. `initialize_agent -> AgentExecutor -> Agent -> LLMChain -> Prompt from Agent.create_prompt` ``` python agent = initialize_agent( tools=tools, llm=fake_llm, agent="zero-shot-react-description" ) prompt_str = agent.agent.llm_chain.prompt.template new_prompt_str = change_prefix(prompt_str) agent.agent.llm_chain.prompt.template = new_prompt_str ``` # Implemented Solution `initialize_agent` accepts `*kwargs` but passes it to `AgentExecutor` but not `ZeroShotAgent`, by simply giving the kwargs to the agent class methods we can support changing the prefix and suffix for one agent while allowing future agents to take advantage of `initialize_agent`. ``` agent = initialize_agent( tools=tools, llm=fake_llm, agent="zero-shot-react-description", agent_kwargs={"prefix": prefix, "suffix": suffix} ) ``` To be fair, this was before finding docs around custom agents here: https://langchain.readthedocs.io/en/latest/modules/agents/examples/custom_agent.html?highlight=custom%20#custom-llmchain but i find that my use case just needed to change the prefix a little. # Changes Pass kwargs to Agent class method * Added a test to check suffix and prefix --------- Co-authored-by: Jason Liu <jason@jxnl.coA>	2 years ago
Harrison Chase	1ad7973cc6	Harrison/tool decorator (#790 ) Co-authored-by: Jason Liu <jxnl@users.noreply.github.com> Co-authored-by: Jason Liu <jason@jxnl.coA>	2 years ago
Amos Ng	6ad360bdef	Suggestions for better debugging (#765 ) Please feel free to disregard any changes you disagree with	2 years ago
Harrison Chase	a2eeaf3d43	strip whitespace (#680 )	2 years ago
Harrison Chase	1ac3319e45	simplify parsing of the final answer (#621 )	2 years ago
Harrison Chase	4974f49bb7	add return_direct flag to tool (#537 ) adds a return_direct flag to tools, which just returns the tool output as the final output	2 years ago
Harrison Chase	9e04c34e20	Add BaseCallbackHandler and CallbackManager (#478 ) Co-authored-by: Ankush Gola <9536492+agola11@users.noreply.github.com>	2 years ago
Harrison Chase	d0f194de73	add logic for agent stopping (#420 )	2 years ago
Harrison Chase	ee3b8e89b3	better parsing of agent output (#418 )	2 years ago
Harrison Chase	cf98f219f9	Harrison/tools exp (#372 )	2 years ago
Harrison Chase	78b31e5966	Harrison/cache (#343 )	2 years ago
Harrison Chase	9bb7195085	Harrison/llm saving (#331 ) Co-authored-by: Akash Samant <70665700+asamant21@users.noreply.github.com>	2 years ago
John McDonnell	68666d6a22	Gracefully degrade when model asks for nonexistent tool (#268 ) Not yet tested, but very simple change, assumption is that we're cool with just producing a generic output when tool is not found	2 years ago
Harrison Chase	6eab5254e5	add docs for custom agents (#196 )	2 years ago

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51 Commits (1f11f806413837b2f41046c46b8963b8e0ae6b5f)