id stringlengths 14 16 | text stringlengths 13 2.7k | source stringlengths 57 178 |
|---|---|---|
6bfcced260ee-9 | namespace is [“langchain”, “llms”, “openai”]
get_output_schema(config: Optional[RunnableConfig] = None) → Type[BaseModel]¶
Get a pydantic model that can be used to validate output to the runnable.
Runnables that leverage the configurable_fields and configurable_alternatives
methods will have a dynamic output schema tha... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.RLChain.html |
6bfcced260ee-10 | Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
classmethod lc_id() → List[str]¶
A unique identifier for this class for serialization purposes.
The unique identifier is a ... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.RLChain.html |
6bfcced260ee-11 | memory.
outputs – Dictionary of initial chain outputs.
return_only_outputs – Whether to only return the chain outputs. If False,
inputs are also added to the final outputs.
Returns
A dict of the final chain outputs.
run(*args: Any, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, tags:... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.RLChain.html |
6bfcced260ee-12 | context = "Weather report for Boise, Idaho on 07/03/23..."
chain.run(question=question, context=context)
# -> "The temperature in Boise is..."
save(file_path: Union[Path, str]) → None¶
Save the chain.
Expects Chain._chain_type property to be implemented and for memory to benull.
Parameters
file_path – Path to file to s... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.RLChain.html |
6bfcced260ee-13 | Updates the learned policy with the score provided.
Will raise an error if selection_scorer is set, and force_score=True was not provided during the method call
classmethod validate(value: Any) → Model¶
with_config(config: Optional[RunnableConfig] = None, **kwargs: Any) → Runnable[Input, Output]¶
Bind config to a Runna... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.RLChain.html |
6bfcced260ee-14 | added to the run.
with_retry(*, retry_if_exception_type: ~typing.Tuple[~typing.Type[BaseException], ...] = (<class 'Exception'>,), wait_exponential_jitter: bool = True, stop_after_attempt: int = 3) → Runnable[Input, Output]¶
Create a new Runnable that retries the original runnable on exceptions.
Parameters
retry_if_exc... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.RLChain.html |
6bfcced260ee-15 | For example,{“openai_api_key”: “OPENAI_API_KEY”}
property output_schema: Type[pydantic.main.BaseModel]¶
The type of output this runnable produces specified as a pydantic model. | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.RLChain.html |
1b186a0339cb-0 | langchain_experimental.rl_chain.base.EmbedAndKeep¶
langchain_experimental.rl_chain.base.EmbedAndKeep(anything: Any) → Any[source]¶ | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.EmbedAndKeep.html |
1d5ca4a23516-0 | langchain_experimental.rl_chain.base.embed¶
langchain_experimental.rl_chain.base.embed(to_embed: Union[str, _Embed, Dict, List[Union[str, _Embed]], List[Dict]], model: Any, namespace: Optional[str] = None) → List[Dict[str, Union[str, List[str]]]][source]¶
Embeds the actions or context using the SentenceTransformer mode... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.embed.html |
04257fc99cad-0 | langchain_experimental.rl_chain.base.Event¶
class langchain_experimental.rl_chain.base.Event(inputs: Dict[str, Any], selected: Optional[TSelected] = None)[source]¶
Attributes
inputs
selected
Methods
__init__(inputs[, selected])
__init__(inputs: Dict[str, Any], selected: Optional[TSelected] = None)[source]¶ | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.Event.html |
11ad6015ca22-0 | langchain_experimental.rl_chain.base.embed_string_type¶
langchain_experimental.rl_chain.base.embed_string_type(item: Union[str, _Embed], model: Any, namespace: Optional[str] = None) → Dict[str, Union[str, List[str]]][source]¶
Helper function to embed a string or an _Embed object. | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.embed_string_type.html |
a79f4e0f21c0-0 | langchain_experimental.rl_chain.base.SelectionScorer¶
class langchain_experimental.rl_chain.base.SelectionScorer[source]¶
Bases: Generic[TEvent], ABC, BaseModel
Abstract method to grade the chosen selection or the response of the llm
Create a new model by parsing and validating input data from keyword arguments.
Raises... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.SelectionScorer.html |
a79f4e0f21c0-1 | 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... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.SelectionScorer.html |
a79f4e0f21c0-2 | classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶
classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) → unicode¶
abstract score_response(inputs: Dict[str, Any], llm_response: str, event: TEvent) → ... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.SelectionScorer.html |
1f857a3736a1-0 | langchain_experimental.rl_chain.base.Embedder¶
class langchain_experimental.rl_chain.base.Embedder(*args: Any, **kwargs: Any)[source]¶
Methods
__init__(*args, **kwargs)
format(event)
__init__(*args: Any, **kwargs: Any)[source]¶
abstract format(event: TEvent) → str[source]¶ | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.base.Embedder.html |
2ee58f334796-0 | langchain_experimental.rl_chain.pick_best_chain.PickBestEvent¶
class langchain_experimental.rl_chain.pick_best_chain.PickBestEvent(inputs: Dict[str, Any], to_select_from: Dict[str, Any], based_on: Dict[str, Any], selected: Optional[PickBestSelected] = None)[source]¶
Attributes
Methods
__init__(inputs, to_select_from, b... | lang/api.python.langchain.com/en/latest/rl_chain/langchain_experimental.rl_chain.pick_best_chain.PickBestEvent.html |
8f43f39ee656-0 | langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier¶
class langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier[source]¶
Bases: BaseTool
Tool that uses deberta-v3-base-injection to detect prompt injection attacks.... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
8f43f39ee656-1 | param return_direct: bool = False¶
Whether to return the tool’s output directly. Setting this to True means
that after the tool is called, the AgentExecutor will stop looping.
param tags: Optional[List[str]] = None¶
Optional list of tags associated with the tool. Defaults to None
These tags will be associated with each... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
8f43f39ee656-2 | 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[... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
8f43f39ee656-3 | 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... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
8f43f39ee656-4 | 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.extra = ‘allow’ was set since it adds all passed values... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
8f43f39ee656-5 | Get the namespace of the langchain object.
For example, if the class is langchain.llms.openai.OpenAI, then the
namespace is [“langchain”, “llms”, “openai”]
get_output_schema(config: Optional[RunnableConfig] = None) → Type[BaseModel]¶
Get a pydantic model that can be used to validate output to the runnable.
Runnables th... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
8f43f39ee656-6 | 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... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
8f43f39ee656-7 | run(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[str]] = None, metadata: Optional[Dict[str, Any]] = None, run_name: Optional[st... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
8f43f39ee656-8 | Bind config to a Runnable, returning a new Runnable.
with_fallbacks(fallbacks: Sequence[Runnable[Input, Output]], *, exceptions_to_handle: Tuple[Type[BaseException], ...] = (<class 'Exception'>,)) → RunnableWithFallbacksT[Input, Output]¶
Add fallbacks to a runnable, returning a new Runnable.
Parameters
fallbacks – A se... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
8f43f39ee656-9 | between retries
stop_after_attempt – The maximum number of attempts to make before giving up
Returns
A new Runnable that retries the original runnable on exceptions.
with_types(*, input_type: Optional[Type[Input]] = None, output_type: Optional[Type[Output]] = None) → Runnable[Input, Output]¶
Bind input and output types... | lang/api.python.langchain.com/en/latest/prompt_injection_identifier/langchain_experimental.prompt_injection_identifier.hugging_face_identifier.HuggingFaceInjectionIdentifier.html |
d735943224a0-0 | langchain.agents.output_parsers.self_ask.SelfAskOutputParser¶
class langchain.agents.output_parsers.self_ask.SelfAskOutputParser[source]¶
Bases: AgentOutputParser
Parses self-ask style LLM calls.
Expects output to be in one of two formats.
If the output signals that an action should be taken,
should be in the below for... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
d735943224a0-1 | 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_result(result: List[Generation], *, partial: bool = False) → T¶
Parse a... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
d735943224a0-2 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
d735943224a0-3 | 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.extra = ‘allow’ was set since it adds all passed values... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
d735943224a0-4 | Parameters
config – A config to use when generating the schema.
Returns
A pydantic model that can be used to validate input.
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”, “open... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
d735943224a0-5 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
d735943224a0-6 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
d735943224a0-7 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
d735943224a0-8 | added to the run.
with_retry(*, retry_if_exception_type: ~typing.Tuple[~typing.Type[BaseException], ...] = (<class 'Exception'>,), wait_exponential_jitter: bool = True, stop_after_attempt: int = 3) → Runnable[Input, Output]¶
Create a new Runnable that retries the original runnable on exceptions.
Parameters
retry_if_exc... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
d735943224a0-9 | property output_schema: Type[pydantic.main.BaseModel]¶
The type of output this runnable produces specified as a pydantic model. | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.self_ask.SelfAskOutputParser.html |
6afc2b6322b9-0 | langchain.agents.output_parsers.openai_tools.OpenAIToolAgentAction¶
class langchain.agents.output_parsers.openai_tools.OpenAIToolAgentAction[source]¶
Bases: AgentActionMessageLog
Override init to support instantiation by position for backward compat.
param log: str [Required]¶
Additional information to log about the ac... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolAgentAction.html |
6afc2b6322b9-1 | 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.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclu... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolAgentAction.html |
6afc2b6322b9-2 | classmethod is_lc_serializable() → bool¶
Return whether or not the class is 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 ... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolAgentAction.html |
6afc2b6322b9-3 | to_json_not_implemented() → SerializedNotImplemented¶
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 lc_attributes: Dict¶
List of attribute names that should be included in the seri... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolAgentAction.html |
40559f6609f4-0 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
40559f6609f4-1 | 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 ... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
40559f6609f4-2 | 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, **kwargs: Optional[Any]) → List[Output]¶
Default implementation runs invoke... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
40559f6609f4-3 | Default values are respected, but no other validation is performed.
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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
40559f6609f4-4 | For example, if the class is langchain.llms.openai.OpenAI, then the
namespace is [“langchain”, “llms”, “openai”]
get_output_schema(config: Optional[RunnableConfig] = None) → Type[BaseModel]¶
Get a pydantic model that can be used to validate output to the runnable.
Runnables that leverage the configurable_fields and con... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
40559f6609f4-5 | Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
classmethod lc_id() → List[str]¶
A unique identifier for this class for serialization purposes.
The unique identifier is a ... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
40559f6609f4-6 | The prompt is largely provided in the event the OutputParser wants
to retry or fix the output in some way, and needs information from
the prompt to do so.
Parameters
completion – String output of a language model.
prompt – Input PromptValue.
Returns
Structured output
classmethod schema(by_alias: bool = True, ref_templa... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
40559f6609f4-7 | Add fallbacks to a runnable, returning a new Runnable.
Parameters
fallbacks – A sequence of runnables to try if the original runnable fails.
exceptions_to_handle – A tuple of exception types to handle.
Returns
A new Runnable that will try the original runnable, and then each
fallback in order, upon failures.
with_liste... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
40559f6609f4-8 | Bind input and output types to a Runnable, returning a new Runnable.
property InputType: Any¶
The type of input this runnable accepts specified as a type annotation.
property OutputType: Type[langchain.schema.output_parser.T]¶
The type of output this runnable produces specified as a type annotation.
property config_spe... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_functions.OpenAIFunctionsAgentOutputParser.html |
f1f08eb2c0c8-0 | langchain.agents.output_parsers.json.JSONAgentOutputParser¶
class langchain.agents.output_parsers.json.JSONAgentOutputParser[source]¶
Bases: AgentOutputParser
Parses tool invocations and final answers in JSON format.
Expects output to be in one of two formats.
If the output signals that an action should be taken,
shoul... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f1f08eb2c0c8-1 | 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 ... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f1f08eb2c0c8-2 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f1f08eb2c0c8-3 | 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.extra = ‘allow’ was set since it adds all passed values... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f1f08eb2c0c8-4 | Parameters
config – A config to use when generating the schema.
Returns
A pydantic model that can be used to validate input.
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”, “open... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f1f08eb2c0c8-5 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f1f08eb2c0c8-6 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f1f08eb2c0c8-7 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f1f08eb2c0c8-8 | added to the run.
with_retry(*, retry_if_exception_type: ~typing.Tuple[~typing.Type[BaseException], ...] = (<class 'Exception'>,), wait_exponential_jitter: bool = True, stop_after_attempt: int = 3) → Runnable[Input, Output]¶
Create a new Runnable that retries the original runnable on exceptions.
Parameters
retry_if_exc... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f1f08eb2c0c8-9 | property output_schema: Type[pydantic.main.BaseModel]¶
The type of output this runnable produces specified as a pydantic model. | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.json.JSONAgentOutputParser.html |
f3ad796ad9ca-0 | langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser¶
class langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser[source]¶
Bases: AgentOutputParser
Parses ReAct-style LLM calls that have a single tool input.
Expects output to be in one of two formats.
If the output s... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
f3ad796ad9ca-1 | Parse a single string model output into some structure.
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 th... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
f3ad796ad9ca-2 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
f3ad796ad9ca-3 | 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.extra = ‘allow’ was set since it adds all passed values... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
f3ad796ad9ca-4 | Parameters
config – A config to use when generating the schema.
Returns
A pydantic model that can be used to validate input.
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”, “open... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
f3ad796ad9ca-5 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
f3ad796ad9ca-6 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
f3ad796ad9ca-7 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
f3ad796ad9ca-8 | added to the run.
with_retry(*, retry_if_exception_type: ~typing.Tuple[~typing.Type[BaseException], ...] = (<class 'Exception'>,), wait_exponential_jitter: bool = True, stop_after_attempt: int = 3) → Runnable[Input, Output]¶
Create a new Runnable that retries the original runnable on exceptions.
Parameters
retry_if_exc... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
f3ad796ad9ca-9 | property output_schema: Type[pydantic.main.BaseModel]¶
The type of output this runnable produces specified as a pydantic model. | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_single_input.ReActSingleInputOutputParser.html |
3339f048648b-0 | langchain.agents.output_parsers.openai_tools.parse_ai_message_to_openai_tool_action¶
langchain.agents.output_parsers.openai_tools.parse_ai_message_to_openai_tool_action(message: BaseMessage) → Union[List[AgentAction], AgentFinish][source]¶
Parse an AI message potentially containing tool_calls. | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.parse_ai_message_to_openai_tool_action.html |
fed50b40666d-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 ... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
fed50b40666d-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 ... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
fed50b40666d-2 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
fed50b40666d-3 | 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.extra = ‘allow’ was set since it adds all passed values... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
fed50b40666d-4 | Parameters
config – A config to use when generating the schema.
Returns
A pydantic model that can be used to validate input.
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”, “open... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
fed50b40666d-5 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
fed50b40666d-6 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
fed50b40666d-7 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
fed50b40666d-8 | added to the run.
with_retry(*, retry_if_exception_type: ~typing.Tuple[~typing.Type[BaseException], ...] = (<class 'Exception'>,), wait_exponential_jitter: bool = True, stop_after_attempt: int = 3) → Runnable[Input, Output]¶
Create a new Runnable that retries the original runnable on exceptions.
Parameters
retry_if_exc... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
fed50b40666d-9 | property output_schema: Type[pydantic.main.BaseModel]¶
The type of output this runnable produces specified as a pydantic model. | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.xml.XMLAgentOutputParser.html |
db4536a520c5-0 | langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser¶
class langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser[source]¶
Bases: MultiActionAgentOutputParser
Parses a message into agent actions/finish.
Is meant to be used with OpenAI models, as it relies on the specific
tool_ca... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser.html |
db4536a520c5-1 | 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 ... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser.html |
db4536a520c5-2 | 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, **kwargs: Optional[Any]) → List[Output]¶
Default implementation runs invoke... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser.html |
db4536a520c5-3 | Default values are respected, but no other validation is performed.
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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser.html |
db4536a520c5-4 | For example, if the class is langchain.llms.openai.OpenAI, then the
namespace is [“langchain”, “llms”, “openai”]
get_output_schema(config: Optional[RunnableConfig] = None) → Type[BaseModel]¶
Get a pydantic model that can be used to validate output to the runnable.
Runnables that leverage the configurable_fields and con... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser.html |
db4536a520c5-5 | Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
classmethod lc_id() → List[str]¶
A unique identifier for this class for serialization purposes.
The unique identifier is a ... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser.html |
db4536a520c5-6 | The prompt is largely provided in the event the OutputParser wants
to retry or fix the output in some way, and needs information from
the prompt to do so.
Parameters
completion – String output of a language model.
prompt – Input PromptValue.
Returns
Structured output
classmethod schema(by_alias: bool = True, ref_templa... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser.html |
db4536a520c5-7 | Add fallbacks to a runnable, returning a new Runnable.
Parameters
fallbacks – A sequence of runnables to try if the original runnable fails.
exceptions_to_handle – A tuple of exception types to handle.
Returns
A new Runnable that will try the original runnable, and then each
fallback in order, upon failures.
with_liste... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser.html |
db4536a520c5-8 | Bind input and output types to a Runnable, returning a new Runnable.
property InputType: Any¶
The type of input this runnable accepts specified as a type annotation.
property OutputType: Type[langchain.schema.output_parser.T]¶
The type of output this runnable produces specified as a type annotation.
property config_spe... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.openai_tools.OpenAIToolsAgentOutputParser.html |
b318815982c0-0 | 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... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
b318815982c0-1 | Default implementation of ainvoke, calls invoke from a thread.
The default implementation allows usage of async code even if
the runnable did not implement a native async version of invoke.
Subclasses should override this method if they can run asynchronously.
async aparse(text: str) → T¶
Parse a single string model ou... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
b318815982c0-2 | This includes all inner runs of LLMs, Retrievers, Tools, etc.
Output is streamed as Log objects, which include a list of
jsonpatch ops that describe how the state of the run has changed in each
step, and the final state of the run.
The jsonpatch ops can be applied in order to construct state.
async atransform(input: As... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
b318815982c0-3 | Returns
A pydantic model that can be used to validate config.
configurable_alternatives(which: ConfigurableField, default_key: str = 'default', **kwargs: Union[Runnable[Input, Output], Callable[[], Runnable[Input, Output]]]) → RunnableSerializable[Input, Output]¶
configurable_fields(**kwargs: Union[ConfigurableField, C... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
b318815982c0-4 | Instructions on how the LLM output should be formatted.
get_input_schema(config: Optional[RunnableConfig] = None) → Type[BaseModel]¶
Get a pydantic model that can be used to validate input to the runnable.
Runnables that leverage the configurable_fields and configurable_alternatives
methods will have a dynamic input sc... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
b318815982c0-5 | purposes, ‘max_concurrency’ for controlling how much work to do
in parallel, and other keys. Please refer to the RunnableConfig
for more details.
Returns
The output of the runnable.
classmethod is_lc_serializable() → bool¶
Is this class serializable?
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]]... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
b318815982c0-6 | 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¶
parse_result(result: List[Generation], *, partial: bool = False) → T¶
Parse a list of candidate model Generations... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
b318815982c0-7 | to_json_not_implemented() → SerializedNotImplemented¶
transform(input: Iterator[Input], config: Optional[RunnableConfig] = None, **kwargs: Optional[Any]) → Iterator[Output]¶
Default implementation of transform, which buffers input and then calls stream.
Subclasses should override this method if they can start producing... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
b318815982c0-8 | The Run object contains information about the run, including its id,
type, input, output, error, start_time, end_time, and any tags or metadata
added to the run.
with_retry(*, retry_if_exception_type: ~typing.Tuple[~typing.Type[BaseException], ...] = (<class 'Exception'>,), wait_exponential_jitter: bool = True, stop_af... | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
b318815982c0-9 | A map of constructor argument names to secret ids.
For example,{“openai_api_key”: “OPENAI_API_KEY”}
property output_schema: Type[pydantic.main.BaseModel]¶
The type of output this runnable produces specified as a pydantic model. | lang/api.python.langchain.com/en/latest/agents.output_parsers/langchain.agents.output_parsers.react_json_single_input.ReActJsonSingleInputOutputParser.html |
d77c10d6ec3d-0 | langchain.schema.callbacks.manager.trace_as_chain_group¶
langchain.schema.callbacks.manager.trace_as_chain_group(group_name: str, callback_manager: Optional[CallbackManager] = None, *, inputs: Optional[Dict[str, Any]] = None, project_name: Optional[str] = None, example_id: Optional[Union[str, UUID]] = None, run_id: Opt... | lang/api.python.langchain.com/en/latest/schema/langchain.schema.callbacks.manager.trace_as_chain_group.html |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.