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956121de3995-0 | langchain.agents.agent_toolkits.openapi.planner.RequestsDeleteToolWithParsing¶
class langchain.agents.agent_toolkits.openapi.planner.RequestsDeleteToolWithParsing[source]¶
Bases: BaseRequestsTool, BaseTool
A tool that sends a DELETE request and parses the response.
Create a new model by parsing and validating input dat... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsDeleteToolWithParsing.html |
956121de3995-1 | 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_delete'¶
The name of the ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsDeleteToolWithParsing.html |
956121de3995-2 | 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.RequestsDeleteToolWithParsing.html |
956121de3995-3 | 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.RequestsDeleteToolWithParsing.html |
956121de3995-4 | 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.RequestsDeleteToolWithParsing.html |
956121de3995-5 | 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.RequestsDeleteToolWithParsing.html |
956121de3995-6 | 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.RequestsDeleteToolWithParsing.html |
610b946f07f2-0 | langchain.agents.mrkl.base.MRKLChain¶
class langchain.agents.mrkl.base.MRKLChain[source]¶
Bases: AgentExecutor
[Deprecated] Chain that implements the MRKL system.
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 mod... | https://api.python.langchain.com/en/latest/agents/langchain.agents.mrkl.base.MRKLChain.html |
610b946f07f2-1 | 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.mrkl.base.MRKLChain.html |
610b946f07f2-2 | 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.mrkl.base.MRKLChain.html |
610b946f07f2-3 | 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.mrkl.base.MRKLChain.html |
610b946f07f2-4 | 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.mrkl.base.MRKLChain.html |
610b946f07f2-5 | 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.mrkl.base.MRKLChain.html |
610b946f07f2-6 | 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.mrkl.base.MRKLChain.html |
610b946f07f2-7 | 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.mrkl.base.MRKLChain.html |
610b946f07f2-8 | classmethod is_lc_serializable() → bool¶
Is this class serializable?
iter(inputs: Any, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, *, include_run_info: bool = False, async_: bool = False) → AgentExecutorIterator¶
Enables iteration over steps taken to reach final output.
json(*, in... | https://api.python.langchain.com/en/latest/agents/langchain.agents.mrkl.base.MRKLChain.html |
610b946f07f2-9 | 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¶
prep_inputs(inputs: Union[Dict[str, Any], Any]) → Dict[str, str]¶
Validate and prepare chain inputs, including ad... | https://api.python.langchain.com/en/latest/agents/langchain.agents.mrkl.base.MRKLChain.html |
610b946f07f2-10 | sole positional argument.
callbacks – Callbacks to use for this chain run. These will be called in
addition to callbacks passed to the chain during construction, but only
these runtime callbacks will propagate to calls to other objects.
tags – List of string tags to pass to all callbacks. These will be passed in
additi... | https://api.python.langchain.com/en/latest/agents/langchain.agents.mrkl.base.MRKLChain.html |
610b946f07f2-11 | Subclasses should override this method if they support streaming output.
to_json() → Union[SerializedConstructor, SerializedNotImplemented]¶
to_json_not_implemented() → SerializedNotImplemented¶
transform(input: Iterator[Input], config: Optional[RunnableConfig] = None, **kwargs: Optional[Any]) → Iterator[Output]¶
Defau... | https://api.python.langchain.com/en/latest/agents/langchain.agents.mrkl.base.MRKLChain.html |
610b946f07f2-12 | 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: Type[pydantic.main.BaseModel]¶ | https://api.python.langchain.com/en/latest/agents/langchain.agents.mrkl.base.MRKLChain.html |
312b6ba763fd-0 | langchain.agents.agent_toolkits.powerbi.base.create_pbi_agent¶ | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.base.create_pbi_agent.html |
312b6ba763fd-1 | langchain.agents.agent_toolkits.powerbi.base.create_pbi_agent(llm: BaseLanguageModel, toolkit: Optional[PowerBIToolkit] = None, powerbi: Optional[PowerBIDataset] = None, callback_manager: Optional[BaseCallbackManager] = None, prefix: str = 'You are an agent designed to help users interact with a PowerBI Dataset.\n\nAge... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.base.create_pbi_agent.html |
312b6ba763fd-2 | Input: the input to the action\nObservation: the result of the action\n... (this Thought/Action/Action Input/Observation can repeat N times)\nThought: I now know the final answer\nFinal Answer: the final answer to the original input question', examples: Optional[str] = None, input_variables: Optional[List[str]] = None,... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.base.create_pbi_agent.html |
312b6ba763fd-3 | Construct a Power BI agent from an LLM and tools.
Examples using create_pbi_agent¶
PowerBI Dataset | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.base.create_pbi_agent.html |
9f73ec256615-0 | langchain.agents.agent_toolkits.gmail.toolkit.GmailToolkit¶
class langchain.agents.agent_toolkits.gmail.toolkit.GmailToolkit[source]¶
Bases: BaseToolkit
Toolkit for interacting with Gmail.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.gmail.toolkit.GmailToolkit.html |
9f73ec256615-1 | 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.gmail.toolkit.GmailToolkit.html |
9f73ec256615-2 | 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.gmail.toolkit.GmailToolkit.html |
33b0410576a9-0 | langchain.agents.agent_toolkits.file_management.toolkit.FileManagementToolkit¶
class langchain.agents.agent_toolkits.file_management.toolkit.FileManagementToolkit[source]¶
Bases: BaseToolkit
Toolkit for interacting with a Local Files.
Create a new model by parsing and validating input data from keyword arguments.
Raise... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.file_management.toolkit.FileManagementToolkit.html |
33b0410576a9-1 | 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.file_management.toolkit.FileManagementToolkit.html |
33b0410576a9-2 | 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.file_management.toolkit.FileManagementToolkit.html |
95eb161f00da-0 | langchain.agents.openai_functions_multi_agent.base.OpenAIMultiFunctionsAgent¶
class langchain.agents.openai_functions_multi_agent.base.OpenAIMultiFunctionsAgent[source]¶
Bases: BaseMultiActionAgent
An Agent driven by OpenAIs function powered API.
Parameters
llm – This should be an instance of ChatOpenAI, specifically a... | https://api.python.langchain.com/en/latest/agents/langchain.agents.openai_functions_multi_agent.base.OpenAIMultiFunctionsAgent.html |
95eb161f00da-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_multi_agent.base.OpenAIMultiFunctionsAgent.html |
95eb161f00da-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_multi_agent.base.OpenAIMultiFunctionsAgent.html |
95eb161f00da-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¶
Return response when agent has been stopped due to max iterations.
save(file_path: Union[Path, str]) → None¶
Save the a... | https://api.python.langchain.com/en/latest/agents/langchain.agents.openai_functions_multi_agent.base.OpenAIMultiFunctionsAgent.html |
05bb4bf108cc-0 | langchain.agents.react.base.ReActDocstoreAgent¶
class langchain.agents.react.base.ReActDocstoreAgent[source]¶
Bases: Agent
Agent for the ReAct 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 a valid model.
param all... | https://api.python.langchain.com/en/latest/agents/langchain.agents.react.base.ReActDocstoreAgent.html |
05bb4bf108cc-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.ReActDocstoreAgent.html |
05bb4bf108cc-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.ReActDocstoreAgent.html |
05bb4bf108cc-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.ReActDocstoreAgent.html |
89b2c7d96db1-0 | langchain.agents.mrkl.output_parser.MRKLOutputParser¶
class langchain.agents.mrkl.output_parser.MRKLOutputParser[source]¶
Bases: AgentOutputParser
MRKL Output parser for the chat agent.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be par... | https://api.python.langchain.com/en/latest/agents/langchain.agents.mrkl.output_parser.MRKLOutputParser.html |
89b2c7d96db1-1 | 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.mrkl.output_parser.MRKLOutputParser.html |
89b2c7d96db1-2 | 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.mrkl.output_parser.MRKLOutputParser.html |
89b2c7d96db1-3 | 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.mrkl.output_parser.MRKLOutputParser.html |
89b2c7d96db1-4 | 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.mrkl.output_parser.MRKLOutputParser.html |
89b2c7d96db1-5 | 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.mrkl.output_parser.MRKLOutputParser.html |
12410f85bb1a-0 | langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser¶
class langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser[source]¶
Bases: AgentOutputParser
Parses a message into agent action/finish.
Is meant to be used with OpenAI models, as it relies on the specific
fun... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
12410f85bb1a-1 | 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 parsed. The Generations are assumed
to be different candidate outputs for ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
12410f85bb1a-2 | input is still being generated.
batch(inputs: List[Input], config: Optional[Union[RunnableConfig, List[RunnableConfig]]] = None, *, return_exceptions: bool = False, **kwargs: Optional[Any]) → List[Output]¶
Default implementation of batch, which calls invoke N times.
Subclasses should override this method if they can ba... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
12410f85bb1a-3 | get_format_instructions() → str¶
Instructions on how the LLM output should be formatted.
classmethod get_lc_namespace() → List[str]¶
Get the namespace of the langchain object.
For example, if the class is langchain.llms.openai.OpenAI, then the
namespace is [“langchain”, “llms”, “openai”]
invoke(input: Union[str, BaseMe... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
12410f85bb1a-4 | Parse text into agent action/finish.
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 = No... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
12410f85bb1a-5 | 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_implemented() → SerializedNotImplemented¶
transform(input: Iterator[Input], config: Optional[RunnableConfig] = No... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
12410f85bb1a-6 | 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: Type[pydantic.main.BaseModel]¶ | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
2235de8089a8-0 | langchain.agents.agent_toolkits.powerbi.toolkit.PowerBIToolkit¶
class langchain.agents.agent_toolkits.powerbi.toolkit.PowerBIToolkit[source]¶
Bases: BaseToolkit
Toolkit for interacting with Power BI dataset.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the in... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.toolkit.PowerBIToolkit.html |
2235de8089a8-1 | 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(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[boo... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.toolkit.PowerBIToolkit.html |
2235de8089a8-2 | 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.powerbi.toolkit.PowerBIToolkit.html |
77b147722b92-0 | langchain.agents.agent_toolkits.zapier.toolkit.ZapierToolkit¶
class langchain.agents.agent_toolkits.zapier.toolkit.ZapierToolkit[source]¶
Bases: BaseToolkit
Zapier 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.zapier.toolkit.ZapierToolkit.html |
77b147722b92-1 | 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.zapier.toolkit.ZapierToolkit.html |
77b147722b92-2 | 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.zapier.toolkit.ZapierToolkit.html |
a826b1af6a7a-0 | langchain.agents.agent_toolkits.openapi.toolkit.RequestsToolkit¶
class langchain.agents.agent_toolkits.openapi.toolkit.RequestsToolkit[source]¶
Bases: BaseToolkit
Toolkit for making REST requests.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data ca... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.toolkit.RequestsToolkit.html |
a826b1af6a7a-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.openapi.toolkit.RequestsToolkit.html |
a826b1af6a7a-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.openapi.toolkit.RequestsToolkit.html |
d6a0879de9e4-0 | langchain.agents.agent_toolkits.playwright.toolkit.PlayWrightBrowserToolkit¶
class langchain.agents.agent_toolkits.playwright.toolkit.PlayWrightBrowserToolkit[source]¶
Bases: BaseToolkit
Toolkit for PlayWright browser tools.
Create a new model by parsing and validating input data from keyword arguments.
Raises Validati... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.playwright.toolkit.PlayWrightBrowserToolkit.html |
d6a0879de9e4-1 | 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.playwright.toolkit.PlayWrightBrowserToolkit.html |
d6a0879de9e4-2 | 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.playwright.toolkit.PlayWrightBrowserToolkit.html |
215185af5d5e-0 | langchain.agents.agent.LLMSingleActionAgent¶
class langchain.agents.agent.LLMSingleActionAgent[source]¶
Bases: BaseSingleActionAgent
Base class for single action agents.
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 va... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.LLMSingleActionAgent.html |
215185af5d5e-1 | Duplicate a model, optionally choose which fields to include, exclude and change.
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 creat... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.LLMSingleActionAgent.html |
215185af5d5e-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¶
plan(intermediate_steps: List[Tuple[AgentAction, str]], callbacks: Optional[Union[List[BaseCallbackHandler], Base... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.LLMSingleActionAgent.html |
215185af5d5e-3 | property input_keys: List[str]¶
Return the input keys.
Returns
List of input keys.
property return_values: List[str]¶
Return values of the agent.
Examples using LLMSingleActionAgent¶
Plug-and-Plai
Wikibase Agent
SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base
Custom Agent with PlugIn Retrieval
Cust... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent.LLMSingleActionAgent.html |
391025b673df-0 | langchain.agents.agent_toolkits.openapi.planner.RequestsPatchToolWithParsing¶
class langchain.agents.agent_toolkits.openapi.planner.RequestsPatchToolWithParsing[source]¶
Bases: BaseRequestsTool, BaseTool
Requests PATCH tool with LLM-instructed extraction of truncated responses.
Create a new model by parsing and validat... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsPatchToolWithParsing.html |
391025b673df-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_patch'¶
Tool name.
param ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.planner.RequestsPatchToolWithParsing.html |
391025b673df-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.RequestsPatchToolWithParsing.html |
391025b673df-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.RequestsPatchToolWithParsing.html |
391025b673df-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.RequestsPatchToolWithParsing.html |
391025b673df-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.RequestsPatchToolWithParsing.html |
391025b673df-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.RequestsPatchToolWithParsing.html |
868ae08549f1-0 | langchain.agents.agent_toolkits.office365.toolkit.O365Toolkit¶
class langchain.agents.agent_toolkits.office365.toolkit.O365Toolkit[source]¶
Bases: BaseToolkit
Toolkit for interacting with Office 365.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.office365.toolkit.O365Toolkit.html |
868ae08549f1-1 | 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.office365.toolkit.O365Toolkit.html |
868ae08549f1-2 | 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.office365.toolkit.O365Toolkit.html |
0ec1ab408adb-0 | langchain.agents.utils.validate_tools_single_input¶
langchain.agents.utils.validate_tools_single_input(class_name: str, tools: Sequence[BaseTool]) → None[source]¶
Validate tools for single input. | https://api.python.langchain.com/en/latest/agents/langchain.agents.utils.validate_tools_single_input.html |
ff10d84bba50-0 | langchain.agents.load_tools.get_all_tool_names¶
langchain.agents.load_tools.get_all_tool_names() → List[str][source]¶
Get a list of all possible tool names. | https://api.python.langchain.com/en/latest/agents/langchain.agents.load_tools.get_all_tool_names.html |
a279558f1c66-0 | langchain.agents.agent_toolkits.openapi.toolkit.OpenAPIToolkit¶
class langchain.agents.agent_toolkits.openapi.toolkit.OpenAPIToolkit[source]¶
Bases: BaseToolkit
Toolkit for interacting with an OpenAPI API.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the inpu... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.openapi.toolkit.OpenAPIToolkit.html |
a279558f1c66-1 | 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.openapi.toolkit.OpenAPIToolkit.html |
a279558f1c66-2 | 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.openapi.toolkit.OpenAPIToolkit.html |
f4890c872461-0 | langchain.agents.agent_toolkits.powerbi.chat_base.create_pbi_chat_agent¶ | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.chat_base.create_pbi_chat_agent.html |
f4890c872461-1 | langchain.agents.agent_toolkits.powerbi.chat_base.create_pbi_chat_agent(llm: BaseChatModel, toolkit: Optional[PowerBIToolkit] = None, powerbi: Optional[PowerBIDataset] = None, callback_manager: Optional[BaseCallbackManager] = None, output_parser: Optional[AgentOutputParser] = None, prefix: str = 'Assistant is a large l... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.chat_base.create_pbi_chat_agent.html |
f4890c872461-2 | blob with a single action, and NOTHING else):\n\n{{{{input}}}}\n", examples: Optional[str] = None, input_variables: Optional[List[str]] = None, memory: Optional[BaseChatMemory] = None, top_k: int = 10, verbose: bool = False, agent_executor_kwargs: Optional[Dict[str, Any]] = None, **kwargs: Dict[str, Any]) → AgentExecut... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.chat_base.create_pbi_chat_agent.html |
f4890c872461-3 | Construct a Power BI agent from a Chat LLM and tools.
If you supply only a toolkit and no Power BI dataset, the same LLM is used for both. | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.powerbi.chat_base.create_pbi_chat_agent.html |
27ea8d1a0334-0 | langchain.agents.agent_toolkits.base.BaseToolkit¶
class langchain.agents.agent_toolkits.base.BaseToolkit[source]¶
Bases: BaseModel, ABC
Base Toolkit representing a collection of related tools.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.base.BaseToolkit.html |
27ea8d1a0334-1 | Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
classmethod from_orm(obj: Any) → Model¶
abstract get_tools() → List[BaseTool][source]¶
Get the tools in the toolkit.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optiona... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.base.BaseToolkit.html |
27ea8d1a0334-2 | Try to update ForwardRefs on fields based on this Model, globalns and localns.
classmethod validate(value: Any) → Model¶ | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.base.BaseToolkit.html |
dcc5b5f61bdb-0 | langchain.agents.agent_toolkits.azure_cognitive_services.AzureCognitiveServicesToolkit¶
class langchain.agents.agent_toolkits.azure_cognitive_services.AzureCognitiveServicesToolkit[source]¶
Bases: BaseToolkit
Toolkit for Azure Cognitive Services.
Create a new model by parsing and validating input data from keyword argu... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.azure_cognitive_services.AzureCognitiveServicesToolkit.html |
dcc5b5f61bdb-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.azure_cognitive_services.AzureCognitiveServicesToolkit.html |
dcc5b5f61bdb-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.azure_cognitive_services.AzureCognitiveServicesToolkit.html |
2f8d15034dd6-0 | langchain.agents.agent_toolkits.conversational_retrieval.tool.create_retriever_tool¶
langchain.agents.agent_toolkits.conversational_retrieval.tool.create_retriever_tool(retriever: BaseRetriever, name: str, description: str) → Tool[source]¶
Create a tool to do retrieval of documents.
Parameters
retriever – The retriever... | https://api.python.langchain.com/en/latest/agents/langchain.agents.agent_toolkits.conversational_retrieval.tool.create_retriever_tool.html |
95ad828b17e1-0 | langchain.agents.output_parsers.xml.XMLAgentOutputParser¶
class langchain.agents.output_parsers.xml.XMLAgentOutputParser[source]¶
Bases: AgentOutputParser
Parses tool invocations and final answers in XML format.
Expects output to be in one of two formats.
If the output signals that an action should be taken,
should be ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
95ad828b17e1-1 | Parameters
text – String output of a language model.
Returns
Structured output.
async aparse_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 ... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
95ad828b17e1-2 | 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.output_parsers.xml.XMLAgentOutputParser.html |
95ad828b17e1-3 | Return dictionary representation of output parser.
classmethod from_orm(obj: Any) → Model¶
get_format_instructions() → str[source]¶
Instructions on how the LLM output should be formatted.
classmethod get_lc_namespace() → List[str]¶
Get the namespace of the langchain object.
For example, if the class is langchain.llms.o... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
95ad828b17e1-4 | Parse text into agent action/finish.
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 = No... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
95ad828b17e1-5 | 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_implemented() → SerializedNotImplemented¶
transform(input: Iterator[Input], config: Optional[RunnableConfig] = No... | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
95ad828b17e1-6 | 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: Type[pydantic.main.BaseModel]¶ | https://api.python.langchain.com/en/latest/agents/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
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