id stringlengths 14 16 | text stringlengths 13 2.7k | source stringlengths 57 178 |
|---|---|---|
80af13ff513b-6 | 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/llms/langchain.llms.gpt4all.GPT4All.html |
80af13ff513b-7 | classmethod from_orm(obj: Any) → Model¶
generate(prompts: List[str], stop: Optional[List[str]] = None, callbacks: Union[List[BaseCallbackHandler], BaseCallbackManager, None, List[Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]]]] = None, *, tags: Optional[Union[List[str], List[List[str]]]] = None, metada... | lang/api.python.langchain.com/en/latest/llms/langchain.llms.gpt4all.GPT4All.html |
80af13ff513b-8 | functionality, such as logging or streaming, throughout generation.
**kwargs – Arbitrary additional keyword arguments. These are usually passed
to the model provider API call.
Returns
An LLMResult, which contains a list of candidate Generations for each inputprompt and additional model provider-specific output.
get_inp... | lang/api.python.langchain.com/en/latest/llms/langchain.llms.gpt4all.GPT4All.html |
80af13ff513b-9 | 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 that depends on which
configuration the runnable is invoked with.
This method allows to get an output schema for a specific co... | lang/api.python.langchain.com/en/latest/llms/langchain.llms.gpt4all.GPT4All.html |
80af13ff513b-10 | 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/llms/langchain.llms.gpt4all.GPT4All.html |
80af13ff513b-11 | Pass a single string input to the model and return a string prediction.
Use this method when passing in raw text. If you want to pass in specifictypes of chat messages, use predict_messages.
Parameters
text – String input to pass to the model.
stop – Stop words to use when generating. Model output is cut off at the
fir... | lang/api.python.langchain.com/en/latest/llms/langchain.llms.gpt4all.GPT4All.html |
80af13ff513b-12 | stream(input: Union[PromptValue, str, List[BaseMessage]], config: Optional[RunnableConfig] = None, *, stop: Optional[List[str]] = None, **kwargs: Any) → Iterator[str]¶
Default implementation of stream, which calls invoke.
Subclasses should override this method if they support streaming output.
to_json() → Union[Seriali... | lang/api.python.langchain.com/en/latest/llms/langchain.llms.gpt4all.GPT4All.html |
80af13ff513b-13 | fallback in order, upon failures.
with_listeners(*, on_start: Optional[Listener] = None, on_end: Optional[Listener] = None, on_error: Optional[Listener] = None) → Runnable[Input, Output]¶
Bind lifecycle listeners to a Runnable, returning a new Runnable.
on_start: Called before the runnable starts running, with the Run ... | lang/api.python.langchain.com/en/latest/llms/langchain.llms.gpt4all.GPT4All.html |
80af13ff513b-14 | property config_specs: List[langchain.schema.runnable.utils.ConfigurableFieldSpec]¶
List configurable fields for this runnable.
property input_schema: Type[pydantic.main.BaseModel]¶
The type of input this runnable accepts specified as a pydantic model.
property lc_attributes: Dict¶
List of attribute names that should b... | lang/api.python.langchain.com/en/latest/llms/langchain.llms.gpt4all.GPT4All.html |
23e3e3edbba9-0 | langchain.llms.bedrock.LLMInputOutputAdapter¶
class langchain.llms.bedrock.LLMInputOutputAdapter[source]¶
Adapter class to prepare the inputs from Langchain to a format
that LLM model expects.
It also provides helper function to extract
the generated text from the model response.
Attributes
provider_to_output_key_map
M... | lang/api.python.langchain.com/en/latest/llms/langchain.llms.bedrock.LLMInputOutputAdapter.html |
e74707f2ebbe-0 | langchain.llms.gradient_ai.TrainResult¶
class langchain.llms.gradient_ai.TrainResult[source]¶
Train result.
loss: float¶ | lang/api.python.langchain.com/en/latest/llms/langchain.llms.gradient_ai.TrainResult.html |
5c81f3a01aad-0 | langchain_experimental.graph_transformers.diffbot.NodesList¶
class langchain_experimental.graph_transformers.diffbot.NodesList[source]¶
Manages a list of nodes with associated properties.
nodes¶
Stores nodes as keys and their properties as values.
Each key is a tuple where the first element is the
node ID and the secon... | lang/api.python.langchain.com/en/latest/graph_transformers/langchain_experimental.graph_transformers.diffbot.NodesList.html |
99b2056ba95d-0 | langchain_experimental.graph_transformers.diffbot.SimplifiedSchema¶
class langchain_experimental.graph_transformers.diffbot.SimplifiedSchema[source]¶
Provides functionality for working with a simplified schema mapping.
schema¶
A dictionary containing the mapping to simplified schema types.
Type
Dict
Initializes the sch... | lang/api.python.langchain.com/en/latest/graph_transformers/langchain_experimental.graph_transformers.diffbot.SimplifiedSchema.html |
ce0aa7fae373-0 | langchain_experimental.graph_transformers.diffbot.DiffbotGraphTransformer¶
class langchain_experimental.graph_transformers.diffbot.DiffbotGraphTransformer(diffbot_api_key: Optional[str] = None, fact_confidence_threshold: float = 0.7, include_qualifiers: bool = True, include_evidence: bool = True, simplified_schema: boo... | lang/api.python.langchain.com/en/latest/graph_transformers/langchain_experimental.graph_transformers.diffbot.DiffbotGraphTransformer.html |
ce0aa7fae373-1 | nlp_request(text)
Make an API request to the Diffbot NLP endpoint.
process_response(payload, document)
Transform the Diffbot NLP response into a GraphDocument.
__init__(diffbot_api_key: Optional[str] = None, fact_confidence_threshold: float = 0.7, include_qualifiers: bool = True, include_evidence: bool = True, simplifi... | lang/api.python.langchain.com/en/latest/graph_transformers/langchain_experimental.graph_transformers.diffbot.DiffbotGraphTransformer.html |
ce0aa7fae373-2 | document (Document) – The original document.
Returns
The transformed document as a graph.
Return type
GraphDocument | lang/api.python.langchain.com/en/latest/graph_transformers/langchain_experimental.graph_transformers.diffbot.DiffbotGraphTransformer.html |
508ed3ea8828-0 | langchain_experimental.graph_transformers.diffbot.format_property_key¶
langchain_experimental.graph_transformers.diffbot.format_property_key(s: str) → str[source]¶ | lang/api.python.langchain.com/en/latest/graph_transformers/langchain_experimental.graph_transformers.diffbot.format_property_key.html |
a5be391302b0-0 | langchain_experimental.generative_agents.memory.GenerativeAgentMemory¶
class langchain_experimental.generative_agents.memory.GenerativeAgentMemory[source]¶
Bases: BaseMemory
Memory for the generative agent.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the inp... | lang/api.python.langchain.com/en/latest/generative_agents/langchain_experimental.generative_agents.memory.GenerativeAgentMemory.html |
a5be391302b0-1 | Add an observations or memories to the agent’s memory.
add_memory(memory_content: str, now: Optional[datetime] = None) → List[str][source]¶
Add an observation or memory to the agent’s memory.
chain(prompt: PromptTemplate) → LLMChain[source]¶
clear() → None[source]¶
Clear memory contents.
classmethod construct(_fields_s... | lang/api.python.langchain.com/en/latest/generative_agents/langchain_experimental.generative_agents.memory.GenerativeAgentMemory.html |
a5be391302b0-2 | Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
fetch_memories(observation: str, now: Optional[datetime] = None) → List[Document][source]¶
Fetch related memories.
format_memories_detail(relevant_memories: List[Document]) → str[source]¶
format_memories_simple(... | lang/api.python.langchain.com/en/latest/generative_agents/langchain_experimental.generative_agents.memory.GenerativeAgentMemory.html |
a5be391302b0-3 | Return key-value pairs given the text input to the chain.
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], *, conte... | lang/api.python.langchain.com/en/latest/generative_agents/langchain_experimental.generative_agents.memory.GenerativeAgentMemory.html |
62b4d8483fa0-0 | langchain_experimental.generative_agents.generative_agent.GenerativeAgent¶
class langchain_experimental.generative_agents.generative_agent.GenerativeAgent[source]¶
Bases: BaseModel
An Agent as a character with memory and innate characteristics.
Create a new model by parsing and validating input data from keyword argume... | lang/api.python.langchain.com/en/latest/generative_agents/langchain_experimental.generative_agents.generative_agent.GenerativeAgent.html |
62b4d8483fa0-1 | 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/generative_agents/langchain_experimental.generative_agents.generative_agent.GenerativeAgent.html |
62b4d8483fa0-2 | Return a full header of the agent’s status, summary, and current time.
get_summary(force_refresh: bool = False, now: Optional[datetime] = None) → str[source]¶
Return a descriptive summary of the agent.
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntSt... | lang/api.python.langchain.com/en/latest/generative_agents/langchain_experimental.generative_agents.generative_agent.GenerativeAgent.html |
62b4d8483fa0-3 | 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¶ | lang/api.python.langchain.com/en/latest/generative_agents/langchain_experimental.generative_agents.generative_agent.GenerativeAgent.html |
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