id stringlengths 14 15 | text stringlengths 44 2.47k | source stringlengths 61 181 |
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2b486410a692-0 | langchain.agents.agent_toolkits.sql.toolkit.SQLDatabaseToolkit¶
class langchain.agents.agent_toolkits.sql.toolkit.SQLDatabaseToolkit[source]¶
Bases: BaseToolkit
Toolkit for interacting with SQL databases.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.sql.toolkit.SQLDatabaseToolkit.html |
2b486410a692-1 | deep – set to True to make a deep copy of the model
Returns
new model instance
dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.sql.toolkit.SQLDatabaseToolkit.html |
2b486410a692-2 | classmethod parse_obj(obj: Any) → Model¶
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶
classmet... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.sql.toolkit.SQLDatabaseToolkit.html |
ef1f7aaa77c0-0 | langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser¶
class langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser[source]¶
Bases: AgentOutputParser
Parses ReAct-style LLM calls that have a single tool input in json format.
Expects output to be in on... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
ef1f7aaa77c0-1 | Default implementation of ainvoke, which calls invoke in a thread pool.
Subclasses should override this method if they can run asynchronously.
async aparse(text: str) → T¶
Parse a single string model output into some structure.
Parameters
text – String output of a language model.
Returns
Structured output.
async aparse... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
ef1f7aaa77c0-2 | step, and the final state of the run.
The jsonpatch ops can be applied in order to construct state.
async atransform(input: AsyncIterator[Input], config: Optional[RunnableConfig] = None, **kwargs: Optional[Any]) → AsyncIterator[Output]¶
Default implementation of atransform, which buffers input and calls astream.
Subcla... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
ef1f7aaa77c0-3 | the new model: you should trust this data
deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict¶
Return dictionary representation of output parser.
classmethod from_orm(obj: Any) → Model¶
get_format_instructions() → str[source]¶
Instructions on how the LLM output shou... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
ef1f7aaa77c0-4 | Return a new Runnable that maps a list of inputs to a list of outputs,
by calling invoke() with each input.
parse(text: str) → Union[AgentAction, AgentFinish][source]¶
Parse text into agent action/finish.
classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
ef1f7aaa77c0-5 | stream(input: Input, config: Optional[RunnableConfig] = None, **kwargs: Optional[Any]) → Iterator[Output]¶
Default implementation of stream, which calls invoke.
Subclasses should override this method if they support streaming output.
to_json() → Union[SerializedConstructor, SerializedNotImplemented]¶
to_json_not_implem... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
ef1f7aaa77c0-6 | property lc_attributes: Dict¶
List of attribute names that should be included in the serialized kwargs.
These attributes must be accepted by the constructor.
property lc_secrets: Dict[str, str]¶
A map of constructor argument names to secret ids.
For example,{“openai_api_key”: “OPENAI_API_KEY”}
property output_schema: T... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
395f5e502b28-0 | langchain.agents.agent_toolkits.json.base.create_json_agent¶ | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.json.base.create_json_agent.html |
395f5e502b28-1 | langchain.agents.agent_toolkits.json.base.create_json_agent(llm: BaseLanguageModel, toolkit: JsonToolkit, callback_manager: Optional[BaseCallbackManager] = None, prefix: str = 'You are an agent designed to interact with JSON.\nYour goal is to return a final answer by interacting with the JSON.\nYou have access to the f... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.json.base.create_json_agent.html |
395f5e502b28-2 | to see what keys exist at that path.\nDo not simply refer the user to the JSON or a section of the JSON, as this is not a valid answer. Keep digging until you find the answer and explicitly return it.\n', suffix: str = 'Begin!"\n\nQuestion: {input}\nThought: I should look at the keys that exist in data to see what I ha... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.json.base.create_json_agent.html |
395f5e502b28-3 | Construct a json agent from an LLM and tools.
Examples using create_json_agent¶
JSON | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.json.base.create_json_agent.html |
c66dc25aac77-0 | langchain.agents.agent_toolkits.conversational_retrieval.openai_functions.create_conversational_retrieval_agent¶
langchain.agents.agent_toolkits.conversational_retrieval.openai_functions.create_conversational_retrieval_agent(llm: BaseLanguageModel, tools: List[BaseTool], remember_intermediate_steps: bool = True, memory... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.conversational_retrieval.openai_functions.create_conversational_retrieval_agent.html |
b38602824960-0 | langchain.agents.agent_toolkits.openapi.planner.RequestsGetToolWithParsing¶
class langchain.agents.agent_toolkits.openapi.planner.RequestsGetToolWithParsing[source]¶
Bases: BaseRequestsTool, BaseTool
Requests GET tool with LLM-instructed extraction of truncated responses.
Create a new model by parsing and validating in... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsGetToolWithParsing.html |
b38602824960-1 | Optional metadata associated with the tool. Defaults to None
This metadata will be associated with each call to this tool,
and passed as arguments to the handlers defined in callbacks.
You can use these to eg identify a specific instance of a tool with its use case.
param name: str = 'requests_get'¶
Tool name.
param re... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsGetToolWithParsing.html |
b38602824960-2 | Subclasses should override this method if they can run asynchronously.
async arun(tool_input: Union[str, Dict], verbose: Optional[bool] = None, start_color: Optional[str] = 'green', color: Optional[str] = 'green', callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, *, tags: Optional[List[... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsGetToolWithParsing.html |
b38602824960-3 | Default implementation of atransform, which buffers input and calls astream.
Subclasses should override this method if they can start producing output while
input is still being generated.
batch(inputs: List[Input], config: Optional[Union[RunnableConfig, List[RunnableConfig]]] = None, *, return_exceptions: bool = False... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsGetToolWithParsing.html |
b38602824960-4 | deep – set to True to make a deep copy of the model
Returns
new model instance
dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsGetToolWithParsing.html |
b38602824960-5 | classmethod parse_obj(obj: Any) → Model¶
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
run(tool_input: Union[str, Dict], verbose: Optional[bool] = None, start_color: Optional[str] = 'green', color: Op... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsGetToolWithParsing.html |
b38602824960-6 | Bind config to a Runnable, returning a new Runnable.
with_fallbacks(fallbacks: ~typing.Sequence[~langchain.schema.runnable.base.Runnable[~langchain.schema.runnable.utils.Input, ~langchain.schema.runnable.utils.Output]], *, exceptions_to_handle: ~typing.Tuple[~typing.Type[BaseException], ...] = (<class 'Exception'>,)) →... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsGetToolWithParsing.html |
f7b318a7efab-0 | langchain.agents.agent.BaseMultiActionAgent¶
class langchain.agents.agent.BaseMultiActionAgent[source]¶
Bases: BaseModel
Base Multi Action Agent class.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
abstrac... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.BaseMultiActionAgent.html |
f7b318a7efab-1 | the new model: you should trust this data
deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict[source]¶
Return dictionary representation of agent.
classmethod from_orm(obj: Any) → Model¶
get_allowed_tools() → Optional[List[str]][source]¶
json(*, include: Optional[Uni... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.BaseMultiActionAgent.html |
f7b318a7efab-2 | Parameters
intermediate_steps – Steps the LLM has taken to date,
along with the observations.
callbacks – Callbacks to run.
**kwargs – User inputs.
Returns
Actions specifying what tool to use.
return_stopped_response(early_stopping_method: str, intermediate_steps: List[Tuple[AgentAction, str]], **kwargs: Any) → AgentFi... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.BaseMultiActionAgent.html |
87a18a68a61c-0 | langchain.agents.agent_types.AgentType¶
class langchain.agents.agent_types.AgentType(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]¶
Enumerator with the Agent types.
ZERO_SHOT_REACT_DESCRIPTION = 'zero-shot-react-description'¶
REACT_DOCSTORE = 'react-docstore'¶
SELF_ASK_WIT... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_types.AgentType.html |
87a18a68a61c-1 | Gitlab
Bittensor
Amazon API Gateway
Debugging
LangSmith Walkthrough
Hugging Face Prompt Injection Identification
Comparing Chain Outputs
Agent Trajectory
Agents
Multi-modal outputs: Image & Text
Agent Debates with Tools
Set env var OPENAI_API_KEY or load from a .env file
SQL
Multiple callback handlers
Multi-Input Tools... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_types.AgentType.html |
7bba62c48fea-0 | langchain.agents.format_scratchpad.xml.format_xml¶
langchain.agents.format_scratchpad.xml.format_xml(intermediate_steps: List[Tuple[AgentAction, str]]) → str[source]¶ | https://api.python.langchain.com/en/latest/agents/langchain.agents.format_scratchpad.xml.format_xml.html |
09738d18c4a1-0 | langchain.agents.structured_chat.output_parser.StructuredChatOutputParser¶
class langchain.agents.structured_chat.output_parser.StructuredChatOutputParser[source]¶
Bases: AgentOutputParser
Output parser for the structured chat agent.
Create a new model by parsing and validating input data from keyword arguments.
Raises... | https://api.python.langchain.com/en/latest/agents/langchain.agents.structured_chat.output_parser.StructuredChatOutputParser.html |
09738d18c4a1-1 | Default implementation of astream, which calls ainvoke.
Subclasses should override this method if they support streaming output.
async astream_log(input: Any, config: Optional[RunnableConfig] = None, *, include_names: Optional[Sequence[str]] = None, include_types: Optional[Sequence[str]] = None, include_tags: Optional[... | https://api.python.langchain.com/en/latest/agents/langchain.agents.structured_chat.output_parser.StructuredChatOutputParser.html |
09738d18c4a1-2 | Bind arguments to a Runnable, returning a new Runnable.
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config... | https://api.python.langchain.com/en/latest/agents/langchain.agents.structured_chat.output_parser.StructuredChatOutputParser.html |
09738d18c4a1-3 | classmethod is_lc_serializable() → bool¶
Is this class serializable?
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defa... | https://api.python.langchain.com/en/latest/agents/langchain.agents.structured_chat.output_parser.StructuredChatOutputParser.html |
09738d18c4a1-4 | parse_result(result: List[Generation], *, partial: bool = False) → T¶
Parse a list of candidate model Generations into a specific format.
The return value is parsed from only the first Generation in the result, whichis assumed to be the highest-likelihood Generation.
Parameters
result – A list of Generations to be pars... | https://api.python.langchain.com/en/latest/agents/langchain.agents.structured_chat.output_parser.StructuredChatOutputParser.html |
09738d18c4a1-5 | input is still being generated.
classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
classmethod validate(value: Any) → Model¶
with_config(config: Optional[RunnableConfig] = None, **kwargs: Any) → Runnable[Input, Output]¶
Bind config to a... | https://api.python.langchain.com/en/latest/agents/langchain.agents.structured_chat.output_parser.StructuredChatOutputParser.html |
73f0e875d7e7-0 | langchain.agents.agent_iterator.AgentExecutorIterator¶
class langchain.agents.agent_iterator.AgentExecutorIterator(agent_executor: AgentExecutor, inputs: Any, callbacks: Callbacks = None, *, tags: Optional[list[str]] = None, include_run_info: bool = False, async_: bool = False)[source]¶
Iterator for AgentExecutor.
Init... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_iterator.AgentExecutorIterator.html |
73f0e875d7e7-1 | raise_stopiteration(output: Any) → NoReturn[source]¶
Raise a StopIteration exception with the given output.
reset() → None[source]¶
Reset the iterator to its initial state, clearing intermediate steps,
iterations, and time elapsed.
update_iterations() → None[source]¶
Increment the number of iterations and update the ti... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_iterator.AgentExecutorIterator.html |
625858e5118e-0 | langchain.agents.agent_toolkits.vectorstore.base.create_vectorstore_router_agent¶
langchain.agents.agent_toolkits.vectorstore.base.create_vectorstore_router_agent(llm: BaseLanguageModel, toolkit: VectorStoreRouterToolkit, callback_manager: Optional[BaseCallbackManager] = None, prefix: str = 'You are an agent designed t... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.vectorstore.base.create_vectorstore_router_agent.html |
a5688957ea1a-0 | langchain.agents.conversational_chat.output_parser.ConvoOutputParser¶
class langchain.agents.conversational_chat.output_parser.ConvoOutputParser[source]¶
Bases: AgentOutputParser
Output parser for the conversational agent.
Create a new model by parsing and validating input data from keyword arguments.
Raises Validation... | https://api.python.langchain.com/en/latest/agents/langchain.agents.conversational_chat.output_parser.ConvoOutputParser.html |
a5688957ea1a-1 | Default implementation of astream, which calls ainvoke.
Subclasses should override this method if they support streaming output.
async astream_log(input: Any, config: Optional[RunnableConfig] = None, *, include_names: Optional[Sequence[str]] = None, include_types: Optional[Sequence[str]] = None, include_tags: Optional[... | https://api.python.langchain.com/en/latest/agents/langchain.agents.conversational_chat.output_parser.ConvoOutputParser.html |
a5688957ea1a-2 | Bind arguments to a Runnable, returning a new Runnable.
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config... | https://api.python.langchain.com/en/latest/agents/langchain.agents.conversational_chat.output_parser.ConvoOutputParser.html |
a5688957ea1a-3 | classmethod is_lc_serializable() → bool¶
Is this class serializable?
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defa... | https://api.python.langchain.com/en/latest/agents/langchain.agents.conversational_chat.output_parser.ConvoOutputParser.html |
a5688957ea1a-4 | parse_result(result: List[Generation], *, partial: bool = False) → T¶
Parse a list of candidate model Generations into a specific format.
The return value is parsed from only the first Generation in the result, whichis assumed to be the highest-likelihood Generation.
Parameters
result – A list of Generations to be pars... | https://api.python.langchain.com/en/latest/agents/langchain.agents.conversational_chat.output_parser.ConvoOutputParser.html |
a5688957ea1a-5 | input is still being generated.
classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
classmethod validate(value: Any) → Model¶
with_config(config: Optional[RunnableConfig] = None, **kwargs: Any) → Runnable[Input, Output]¶
Bind config to a... | https://api.python.langchain.com/en/latest/agents/langchain.agents.conversational_chat.output_parser.ConvoOutputParser.html |
06966e28c4ca-0 | langchain.agents.format_scratchpad.openai_functions.format_to_openai_functions¶
langchain.agents.format_scratchpad.openai_functions.format_to_openai_functions(intermediate_steps: Sequence[Tuple[AgentAction, str]]) → List[BaseMessage][source]¶
Format intermediate steps.
:param intermediate_steps: Steps the LLM has taken... | https://api.python.langchain.com/en/latest/agents/langchain.agents.format_scratchpad.openai_functions.format_to_openai_functions.html |
acd20818061b-0 | langchain.agents.agent_toolkits.xorbits.base.create_xorbits_agent¶
langchain.agents.agent_toolkits.xorbits.base.create_xorbits_agent(llm: BaseLLM, data: Any, callback_manager: Optional[BaseCallbackManager] = None, prefix: str = '', suffix: str = '', input_variables: Optional[List[str]] = None, verbose: bool = False, re... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.xorbits.base.create_xorbits_agent.html |
b138226deb0d-0 | langchain.agents.format_scratchpad.log_to_messages.format_log_to_messages¶
langchain.agents.format_scratchpad.log_to_messages.format_log_to_messages(intermediate_steps: List[Tuple[AgentAction, str]], template_tool_response: str = '{observation}') → List[BaseMessage][source]¶
Construct the scratchpad that lets the agent... | https://api.python.langchain.com/en/latest/agents/langchain.agents.format_scratchpad.log_to_messages.format_log_to_messages.html |
b8f010bc45dc-0 | langchain.agents.loading.load_agent_from_config¶
langchain.agents.loading.load_agent_from_config(config: dict, llm: Optional[BaseLanguageModel] = None, tools: Optional[List[Tool]] = None, **kwargs: Any) → Union[BaseSingleActionAgent, BaseMultiActionAgent][source]¶
Load agent from Config Dict.
Parameters
config – Config... | https://api.python.langchain.com/en/latest/agents/langchain.agents.loading.load_agent_from_config.html |
924d645025b7-0 | langchain.agents.openai_functions_agent.base.OpenAIFunctionsAgent¶
class langchain.agents.openai_functions_agent.base.OpenAIFunctionsAgent[source]¶
Bases: BaseSingleActionAgent
An Agent driven by OpenAIs function powered API.
Parameters
llm – This should be an instance of ChatOpenAI, specifically a model
that supports ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.openai_functions_agent.base.OpenAIFunctionsAgent.html |
924d645025b7-1 | Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶
Duplicate a model, optionally... | https://api.python.langchain.com/en/latest/agents/langchain.agents.openai_functions_agent.base.OpenAIFunctionsAgent.html |
924d645025b7-2 | Construct an agent from an LLM and tools.
classmethod from_orm(obj: Any) → Model¶
get_allowed_tools() → List[str][source]¶
Get allowed tools.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_d... | https://api.python.langchain.com/en/latest/agents/langchain.agents.openai_functions_agent.base.OpenAIFunctionsAgent.html |
924d645025b7-3 | **kwargs – User inputs.
Returns
Action specifying what tool to use.
return_stopped_response(early_stopping_method: str, intermediate_steps: List[Tuple[AgentAction, str]], **kwargs: Any) → AgentFinish[source]¶
Return response when agent has been stopped due to max iterations.
save(file_path: Union[Path, str]) → None¶
Sa... | https://api.python.langchain.com/en/latest/agents/langchain.agents.openai_functions_agent.base.OpenAIFunctionsAgent.html |
a64c9d8dd117-0 | langchain.agents.agent_toolkits.gitlab.toolkit.GitLabToolkit¶
class langchain.agents.agent_toolkits.gitlab.toolkit.GitLabToolkit[source]¶
Bases: BaseToolkit
GitLab Toolkit.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.gitlab.toolkit.GitLabToolkit.html |
a64c9d8dd117-1 | deep – set to True to make a deep copy of the model
Returns
new model instance
dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.gitlab.toolkit.GitLabToolkit.html |
a64c9d8dd117-2 | classmethod parse_obj(obj: Any) → Model¶
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶
classmet... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.gitlab.toolkit.GitLabToolkit.html |
b1f57de9c416-0 | langchain.agents.agent_toolkits.spark.base.create_spark_dataframe_agent¶
langchain.agents.agent_toolkits.spark.base.create_spark_dataframe_agent(llm: BaseLLM, df: Any, callback_manager: Optional[BaseCallbackManager] = None, prefix: str = '\nYou are working with a spark dataframe in Python. The name of the dataframe is ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.spark.base.create_spark_dataframe_agent.html |
305702afdf27-0 | langchain.agents.react.base.ReActTextWorldAgent¶
class langchain.agents.react.base.ReActTextWorldAgent[source]¶
Bases: ReActDocstoreAgent
Agent for the ReAct TextWorld chain.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActTextWorldAgent.html |
305702afdf27-1 | Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creating
the new model: you should trust this data
deep – set to True to make a deep co... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActTextWorldAgent.html |
305702afdf27-2 | classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
classmethod parse_obj(obj: Any) → Model¶
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActTextWorldAgent.html |
305702afdf27-3 | classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
classmethod validate(value: Any) → Model¶
property llm_prefix: str¶
Prefix to append the LLM call with.
property observation_prefix: str¶
Prefix to append the observation with.
property... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActTextWorldAgent.html |
7ffbcaa5cff7-0 | langchain.agents.agent.BaseSingleActionAgent¶
class langchain.agents.agent.BaseSingleActionAgent[source]¶
Bases: BaseModel
Base Single Action Agent class.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
abst... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.BaseSingleActionAgent.html |
7ffbcaa5cff7-1 | the new model: you should trust this data
deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict[source]¶
Return dictionary representation of agent.
classmethod from_llm_and_tools(llm: BaseLanguageModel, tools: Sequence[BaseTool], callback_manager: Optional[BaseCallbac... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.BaseSingleActionAgent.html |
7ffbcaa5cff7-2 | abstract plan(intermediate_steps: List[Tuple[AgentAction, str]], callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → Union[AgentAction, AgentFinish][source]¶
Given input, decided what to do.
Parameters
intermediate_steps – Steps the LLM has taken to date,
along with obser... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.BaseSingleActionAgent.html |
bc816386332d-0 | langchain.agents.schema.AgentScratchPadChatPromptTemplate¶
class langchain.agents.schema.AgentScratchPadChatPromptTemplate[source]¶
Bases: ChatPromptTemplate
Chat prompt template for the agent scratchpad.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input... | https://api.python.langchain.com/en/latest/agents/langchain.agents.schema.AgentScratchPadChatPromptTemplate.html |
bc816386332d-1 | Default implementation of astream, which calls ainvoke.
Subclasses should override this method if they support streaming output.
async astream_log(input: Any, config: Optional[RunnableConfig] = None, *, include_names: Optional[Sequence[str]] = None, include_types: Optional[Sequence[str]] = None, include_tags: Optional[... | https://api.python.langchain.com/en/latest/agents/langchain.agents.schema.AgentScratchPadChatPromptTemplate.html |
bc816386332d-2 | Bind arguments to a Runnable, returning a new Runnable.
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config... | https://api.python.langchain.com/en/latest/agents/langchain.agents.schema.AgentScratchPadChatPromptTemplate.html |
bc816386332d-3 | Format the chat template into a list of finalized messages.
Parameters
**kwargs – keyword arguments to use for filling in template variables
in all the template messages in this chat template.
Returns
list of formatted messages
format_prompt(**kwargs: Any) → PromptValue¶
Format prompt. Should return a PromptValue.
:par... | https://api.python.langchain.com/en/latest/agents/langchain.agents.schema.AgentScratchPadChatPromptTemplate.html |
bc816386332d-4 | classmethod from_role_strings(string_messages: List[Tuple[str, str]]) → ChatPromptTemplate¶
[Deprecated] Create a chat prompt template from a list of (role, template) tuples.
Parameters
string_messages – list of (role, template) tuples.
string_messages – list of (role, template) tuples.
Returns
a chat prompt template[... | https://api.python.langchain.com/en/latest/agents/langchain.agents.schema.AgentScratchPadChatPromptTemplate.html |
bc816386332d-5 | namespace is [“langchain”, “llms”, “openai”]
invoke(input: Dict, config: langchain.schema.runnable.config.RunnableConfig | None = None) → PromptValue¶
classmethod is_lc_serializable() → bool¶
Return whether this class is serializable.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude... | https://api.python.langchain.com/en/latest/agents/langchain.agents.schema.AgentScratchPadChatPromptTemplate.html |
bc816386332d-6 | partial(**kwargs: Union[str, Callable[[], str]]) → ChatPromptTemplate¶
Get a new ChatPromptTemplate with some input variables already filled in.
Parameters
**kwargs – keyword arguments to use for filling in template variables. Ought
to be a subset of the input variables.
Returns
A new ChatPromptTemplate.
Example
from l... | https://api.python.langchain.com/en/latest/agents/langchain.agents.schema.AgentScratchPadChatPromptTemplate.html |
bc816386332d-7 | Default implementation of transform, which buffers input and then calls stream.
Subclasses should override this method if they can start producing output while
input is still being generated.
classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and lo... | https://api.python.langchain.com/en/latest/agents/langchain.agents.schema.AgentScratchPadChatPromptTemplate.html |
03f2a07d53f9-0 | langchain.agents.agent.AgentOutputParser¶
class langchain.agents.agent.AgentOutputParser[source]¶
Bases: BaseOutputParser
Base class for parsing agent output into agent action/finish.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parse... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentOutputParser.html |
03f2a07d53f9-1 | Default implementation of astream, which calls ainvoke.
Subclasses should override this method if they support streaming output.
async astream_log(input: Any, config: Optional[RunnableConfig] = None, *, include_names: Optional[Sequence[str]] = None, include_types: Optional[Sequence[str]] = None, include_tags: Optional[... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentOutputParser.html |
03f2a07d53f9-2 | Bind arguments to a Runnable, returning a new Runnable.
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentOutputParser.html |
03f2a07d53f9-3 | classmethod is_lc_serializable() → bool¶
Is this class serializable?
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defa... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentOutputParser.html |
03f2a07d53f9-4 | parse_result(result: List[Generation], *, partial: bool = False) → T¶
Parse a list of candidate model Generations into a specific format.
The return value is parsed from only the first Generation in the result, whichis assumed to be the highest-likelihood Generation.
Parameters
result – A list of Generations to be pars... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentOutputParser.html |
03f2a07d53f9-5 | input is still being generated.
classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
classmethod validate(value: Any) → Model¶
with_config(config: Optional[RunnableConfig] = None, **kwargs: Any) → Runnable[Input, Output]¶
Bind config to a... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentOutputParser.html |
703f704021e6-0 | langchain.agents.agent.AgentExecutor¶
class langchain.agents.agent.AgentExecutor[source]¶
Bases: Chain
Agent that is using tools.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
param agent: Union[BaseSingle... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-1 | If a callable function, the function will be called with the exception
as an argument, and the result of that function will be passed to the agentas an observation.
param max_execution_time: Optional[float] = None¶
The maximum amount of wall clock time to spend in the execution
loop.
param max_iterations: Optional[int]... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-2 | The valid tools the agent can call.
param trim_intermediate_steps: Union[int, Callable[[List[Tuple[AgentAction, str]]], List[Tuple[AgentAction, str]]]] = -1¶
param verbose: bool [Optional]¶
Whether or not run in verbose mode. In verbose mode, some intermediate logs
will be printed to the console. Defaults to langchain.... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-3 | to False.
Returns
A dict of named outputs. Should contain all outputs specified inChain.output_keys.
async abatch(inputs: List[Input], config: Optional[Union[RunnableConfig, List[RunnableConfig]]] = None, *, return_exceptions: bool = False, **kwargs: Optional[Any]) → List[Output]¶
Default implementation of abatch, whic... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-4 | metadata – Optional metadata associated with the chain. Defaults to None
include_run_info – Whether to include run info in the response. Defaults
to False.
Returns
A dict of named outputs. Should contain all outputs specified inChain.output_keys.
async ainvoke(input: Dict[str, Any], config: Optional[RunnableConfig] = N... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-5 | these runtime tags will propagate to calls to other objects.
**kwargs – If the chain expects multiple inputs, they can be passed in
directly as keyword arguments.
Returns
The chain output.
Example
# Suppose we have a single-input chain that takes a 'question' string:
await chain.arun("What's the temperature in Boise, I... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-6 | step, and the final state of the run.
The jsonpatch ops can be applied in order to construct state.
async atransform(input: AsyncIterator[Input], config: Optional[RunnableConfig] = None, **kwargs: Optional[Any]) → AsyncIterator[Output]¶
Default implementation of atransform, which buffers input and calls astream.
Subcla... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-7 | the new model: you should trust this data
deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict¶
Dictionary representation of chain.
Expects Chain._chain_type property to be implemented and for memory to benull.
Parameters
**kwargs – Keyword arguments passed to defaul... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-8 | Enables iteration over steps taken to reach final output.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-9 | Validate and prepare chain inputs, including adding inputs from memory.
Parameters
inputs – Dictionary of raw inputs, or single input if chain expects
only one param. Should contain all inputs specified in
Chain.input_keys except for inputs that will be set by the chain’s
memory.
Returns
A dictionary of all inputs, inc... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-10 | addition to tags passed to the chain during construction, but only
these runtime tags will propagate to calls to other objects.
**kwargs – If the chain expects multiple inputs, they can be passed in
directly as keyword arguments.
Returns
The chain output.
Example
# Suppose we have a single-input chain that takes a 'que... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-11 | Default implementation of transform, which buffers input and then calls stream.
Subclasses should override this method if they can start producing output while
input is still being generated.
classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and lo... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
703f704021e6-12 | Examples using AgentExecutor¶
Metaphor Search
LLMonitor
Jina
PowerBI Dataset
SQL Database
JSON
Bittensor
Conversational Retrieval Agent
Agents
BabyAGI with Tools
Plug-and-Plai
Wikibase Agent
SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base
Custom Agent with PlugIn Retrieval
Set env var OPENAI_API_KE... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.AgentExecutor.html |
32e6072409d1-0 | langchain.agents.agent_toolkits.pandas.base.create_pandas_dataframe_agent¶
langchain.agents.agent_toolkits.pandas.base.create_pandas_dataframe_agent(llm: BaseLanguageModel, df: Any, agent_type: AgentType = AgentType.ZERO_SHOT_REACT_DESCRIPTION, callback_manager: Optional[BaseCallbackManager] = None, prefix: Optional[st... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.pandas.base.create_pandas_dataframe_agent.html |
7a947c6d9114-0 | langchain.agents.react.base.ReActChain¶
class langchain.agents.react.base.ReActChain[source]¶
Bases: AgentExecutor
[Deprecated] Chain that implements the ReAct paper.
Initialize with the LLM and a docstore.
param agent: Union[BaseSingleActionAgent, BaseMultiActionAgent] [Required]¶
The agent to run for creating a plan ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
7a947c6d9114-1 | param max_execution_time: Optional[float] = None¶
The maximum amount of wall clock time to spend in the execution
loop.
param max_iterations: Optional[int] = 15¶
The maximum number of steps to take before ending the execution
loop.
Setting to ‘None’ could lead to an infinite loop.
param memory: Optional[BaseMemory] = N... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
7a947c6d9114-2 | param verbose: bool [Optional]¶
Whether or not run in verbose mode. In verbose mode, some intermediate logs
will be printed to the console. Defaults to langchain.verbose value.
__call__(inputs: Union[Dict[str, Any], Any], return_only_outputs: bool = False, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallba... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
7a947c6d9114-3 | Returns
A dict of named outputs. Should contain all outputs specified inChain.output_keys.
async abatch(inputs: List[Input], config: Optional[Union[RunnableConfig, List[RunnableConfig]]] = None, *, return_exceptions: bool = False, **kwargs: Optional[Any]) → List[Output]¶
Default implementation of abatch, which calls ai... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
7a947c6d9114-4 | include_run_info – Whether to include run info in the response. Defaults
to False.
Returns
A dict of named outputs. Should contain all outputs specified inChain.output_keys.
async ainvoke(input: Dict[str, Any], config: Optional[RunnableConfig] = None, **kwargs: Any) → Dict[str, Any]¶
Default implementation of ainvoke, ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
7a947c6d9114-5 | directly as keyword arguments.
Returns
The chain output.
Example
# Suppose we have a single-input chain that takes a 'question' string:
await chain.arun("What's the temperature in Boise, Idaho?")
# -> "The temperature in Boise is..."
# Suppose we have a multi-input chain that takes a 'question' string
# and 'context' s... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
7a947c6d9114-6 | The jsonpatch ops can be applied in order to construct state.
async atransform(input: AsyncIterator[Input], config: Optional[RunnableConfig] = None, **kwargs: Optional[Any]) → AsyncIterator[Output]¶
Default implementation of atransform, which buffers input and calls astream.
Subclasses should override this method if th... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
7a947c6d9114-7 | the new model: you should trust this data
deep – set to True to make a deep copy of the model
Returns
new model instance
dict(**kwargs: Any) → Dict¶
Dictionary representation of chain.
Expects Chain._chain_type property to be implemented and for memory to benull.
Parameters
**kwargs – Keyword arguments passed to defaul... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
7a947c6d9114-8 | Enables iteration over steps taken to reach final output.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
7a947c6d9114-9 | Validate and prepare chain inputs, including adding inputs from memory.
Parameters
inputs – Dictionary of raw inputs, or single input if chain expects
only one param. Should contain all inputs specified in
Chain.input_keys except for inputs that will be set by the chain’s
memory.
Returns
A dictionary of all inputs, inc... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActChain.html |
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