id stringlengths 14 15 | text stringlengths 44 2.47k | source stringlengths 61 181 |
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be3516a1fef1-5 | completion_with_retry(run_manager: Optional[CallbackManagerForLLMRun] = None, **kwargs: Any) → Any[source]¶
Use tenacity to retry the completion call.
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.litellm.ChatLiteLLM.html |
be3516a1fef1-6 | Top Level call
generate_prompt(prompts: List[PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → LLMResult¶
Pass a sequence of prompts to the model and return model generations.
This method should make use of batched calls f... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.litellm.ChatLiteLLM.html |
be3516a1fef1-7 | Parameters
text – The string input to tokenize.
Returns
The integer number of tokens in the text.
get_num_tokens_from_messages(messages: List[BaseMessage]) → int¶
Get the number of tokens in the messages.
Useful for checking if an input will fit in a model’s context window.
Parameters
messages – The message inputs to t... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.litellm.ChatLiteLLM.html |
be3516a1fef1-8 | The unique identifier is a list of strings that describes the path
to the object.
map() → Runnable[List[Input], List[Output]]¶
Return a new Runnable that maps a list of inputs to a list of outputs,
by calling invoke() with each input.
classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encod... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.litellm.ChatLiteLLM.html |
be3516a1fef1-9 | stop – Stop words to use when generating. Model output is cut off at the
first occurrence of any of these substrings.
**kwargs – Arbitrary additional keyword arguments. These are usually passed
to the model provider API call.
Returns
Top model prediction as a message.
classmethod schema(by_alias: bool = True, ref_templ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.litellm.ChatLiteLLM.html |
be3516a1fef1-10 | 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/chat_models/langchain.chat_models.litellm.ChatLiteLLM.html |
2e92c2b1cb19-0 | langchain.chat_models.anthropic.ChatAnthropic¶
class langchain.chat_models.anthropic.ChatAnthropic[source]¶
Bases: BaseChatModel, _AnthropicCommon
Anthropic chat large language models.
To use, you should have the anthropic python package installed, and the
environment variable ANTHROPIC_API_KEY set with your API key, o... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-1 | param model: str = 'claude-2' (alias 'model_name')¶
Model name to use.
param model_kwargs: Dict[str, Any] [Optional]¶
param streaming: bool = False¶
Whether to stream the results.
param tags: Optional[List[str]] = None¶
Tags to add to the run trace.
param temperature: Optional[float] = None¶
A non-negative float that t... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-2 | Top Level call
async agenerate_prompt(prompts: List[PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → LLMResult¶
Asynchronously pass a sequence of prompts and return model generations.
This method should make use of batche... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-3 | Asynchronously pass a string to the model and return a string prediction.
Use this method when calling pure text generation models and only the topcandidate generation is needed.
Parameters
text – String input to pass to the model.
stop – Stop words to use when generating. Model output is cut off at the
first occurrenc... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-4 | 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[Sequence[str]] = None, exclude_names: Optional[Sequence[... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-5 | 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... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-6 | Top Level call
generate_prompt(prompts: List[PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → LLMResult¶
Pass a sequence of prompts to the model and return model generations.
This method should make use of batched calls f... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-7 | Get the number of tokens in the messages.
Useful for checking if an input will fit in a model’s context window.
Parameters
messages – The message inputs to tokenize.
Returns
The sum of the number of tokens across the messages.
get_token_ids(text: str) → List[int]¶
Return the ordered ids of the tokens in a text.
Paramet... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-8 | Return a new Runnable that maps a list of inputs to a list of outputs,
by calling invoke() with each input.
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¶
cl... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-9 | to the model provider API call.
Returns
Top model prediction as a message.
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¶
stream(in... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
2e92c2b1cb19-10 | 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/chat_models/langchain.chat_models.anthropic.ChatAnthropic.html |
159bb05f27c2-0 | langchain.chat_models.konko.ChatKonko¶
class langchain.chat_models.konko.ChatKonko[source]¶
Bases: ChatOpenAI
ChatKonko Chat large language models API.
To use, you should have the konko python package installed, and the
environment variable KONKO_API_KEY and OPENAI_API_KEY set with your API key.
Any parameters that are... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-1 | Model name to use.
param n: int = 1¶
Number of chat completions to generate for each prompt.
param openai_api_base: Optional[str] = None¶
param openai_api_key: Optional[str] = None¶
Base URL path for API requests,
leave blank if not using a proxy or service emulator.
param openai_organization: Optional[str] = None¶
par... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-2 | param verbose: bool [Optional]¶
Whether to print out response text.
__call__(messages: List[BaseMessage], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → BaseMessage¶
Call self as a function.
async abatch(inputs: List[Input], config: ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-3 | Parameters
prompts – List of PromptValues. A PromptValue is an object that can be
converted to match the format of any language model (string for pure
text generation models and BaseMessages for chat models).
stop – Stop words to use when generating. Model output is cut off at the
first occurrence of any of these subst... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-4 | Asynchronously pass messages to the model and return a message prediction.
Use this method when calling chat models and only the topcandidate generation is needed.
Parameters
messages – A sequence of chat messages corresponding to a single model input.
stop – Stop words to use when generating. Model output is cut off a... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-5 | The jsonpatch ops can be applied in order to construct state.
async atransform(input: AsyncIterator[Input], config: Optional[RunnableConfig] = None, **kwargs: Optional[Any]) → AsyncIterator[Output]¶
Default implementation of atransform, which buffers input and calls astream.
Subclasses should override this method if th... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-6 | 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/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-7 | text generation models and BaseMessages for chat models).
stop – Stop words to use when generating. Model output is cut off at the
first occurrence of any of these substrings.
callbacks – Callbacks to pass through. Used for executing additional
functionality, such as logging or streaming, throughout generation.
**kwarg... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-8 | Get the tokens present in the text with tiktoken package.
invoke(input: Union[PromptValue, str, List[BaseMessage]], config: Optional[RunnableConfig] = None, *, stop: Optional[List[str]] = None, **kwargs: Any) → BaseMessageChunk¶
classmethod is_lc_serializable() → bool[source]¶
Return whether this model can be serialize... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-9 | 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¶
predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str¶
Pass a single string input to t... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-10 | stream(input: Union[PromptValue, str, List[BaseMessage]], config: Optional[RunnableConfig] = None, *, stop: Optional[List[str]] = None, **kwargs: Any) → Iterator[BaseMessageChunk]¶
Default implementation of stream, which calls invoke.
Subclasses should override this method if they support streaming output.
to_json() → ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
159bb05f27c2-11 | property InputType: TypeAlias¶
Get the input type for this runnable.
property OutputType: Any¶
Get the input type for this runnable.
property input_schema: Type[pydantic.main.BaseModel]¶
property lc_attributes: Dict¶
List of attribute names that should be included in the serialized kwargs.
These attributes must be acce... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.konko.ChatKonko.html |
043ad17f1326-0 | langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint¶
class langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint[source]¶
Bases: BaseChatModel
Baidu Qianfan chat models.
To use, you should have the qianfan python package installed, and
the environment variable qianfan_ak and qianfan_sk set with ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-1 | param model_kwargs: Dict[str, Any] [Optional]¶
param penalty_score: Optional[float] = 1¶
Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo.
In the case of other model, passing these params will not affect the result.
param qianfan_ak: Optional[str] = None¶
param qianfan_sk: Optional[str] = None¶
param reque... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-2 | Subclasses should override this method if they can batch more efficiently.
async agenerate(messages: List[List[BaseMessage]], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = Non... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-3 | async ainvoke(input: Union[PromptValue, str, List[BaseMessage]], config: Optional[RunnableConfig] = None, *, stop: Optional[List[str]] = None, **kwargs: Any) → BaseMessageChunk¶
Default implementation of ainvoke, which calls invoke in a thread pool.
Subclasses should override this method if they can run asynchronously.... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-4 | 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/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-5 | Bind arguments to a Runnable, returning a new Runnable.
call_as_llm(message: str, stop: Optional[List[str]] = None, **kwargs: Any) → str¶
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.
Defaul... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-6 | Top Level call
generate_prompt(prompts: List[PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → LLMResult¶
Pass a sequence of prompts to the model and return model generations.
This method should make use of batched calls f... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-7 | Parameters
text – The string input to tokenize.
Returns
The integer number of tokens in the text.
get_num_tokens_from_messages(messages: List[BaseMessage]) → int¶
Get the number of tokens in the messages.
Useful for checking if an input will fit in a model’s context window.
Parameters
messages – The message inputs to t... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-8 | The unique identifier is a list of strings that describes the path
to the object.
map() → Runnable[List[Input], List[Output]]¶
Return a new Runnable that maps a list of inputs to a list of outputs,
by calling invoke() with each input.
classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encod... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-9 | stop – Stop words to use when generating. Model output is cut off at the
first occurrence of any of these substrings.
**kwargs – Arbitrary additional keyword arguments. These are usually passed
to the model provider API call.
Returns
Top model prediction as a message.
classmethod schema(by_alias: bool = True, ref_templ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
043ad17f1326-10 | 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/chat_models/langchain.chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint.html |
fedcd40212aa-0 | langchain.chat_models.google_palm.ChatGooglePalm¶
class langchain.chat_models.google_palm.ChatGooglePalm[source]¶
Bases: BaseChatModel, BaseModel
Google PaLM Chat models API.
To use you must have the google.generativeai Python package installed and
either:
The GOOGLE_API_KEY` environment variable set with your API key,... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-1 | Must be positive.
param top_p: Optional[float] = None¶
Decode using nucleus sampling: consider the smallest set of tokens whose
probability sum is at least top_p. Must be in the closed interval [0.0, 1.0].
param verbose: bool [Optional]¶
Whether to print out response text.
__call__(messages: List[BaseMessage], stop: Op... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-2 | need more output from the model than just the top generated value,
are building chains that are agnostic to the underlying language modeltype (e.g., pure text completion models vs chat models).
Parameters
prompts – List of PromptValues. A PromptValue is an object that can be
converted to match the format of any languag... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-3 | to the model provider API call.
Returns
Top model prediction as a string.
async apredict_messages(messages: List[BaseMessage], *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → BaseMessage¶
Asynchronously pass messages to the model and return a message prediction.
Use this method when calling chat models and on... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-4 | 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: AsyncIterator[Input], config: Optional[RunnableConfig] = None, **kwargs: Optional[Any]) → AsyncIterator[Output]¶
Default im... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-5 | 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/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-6 | text generation models and BaseMessages for chat models).
stop – Stop words to use when generating. Model output is cut off at the
first occurrence of any of these substrings.
callbacks – Callbacks to pass through. Used for executing additional
functionality, such as logging or streaming, throughout generation.
**kwarg... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-7 | invoke(input: Union[PromptValue, str, List[BaseMessage]], config: Optional[RunnableConfig] = None, *, stop: Optional[List[str]] = None, **kwargs: Any) → BaseMessageChunk¶
classmethod is_lc_serializable() → bool¶
Is this class serializable?
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, ex... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-8 | predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str¶
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 m... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-9 | 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/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
fedcd40212aa-10 | property lc_attributes: Dict¶
List of attribute names that should be included in the serialized kwargs.
These attributes must be accepted by the constructor.
property lc_secrets: Dict[str, str]¶
A map of constructor argument names to secret ids.
For example,{“openai_api_key”: “OPENAI_API_KEY”}
property output_schema: T... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.ChatGooglePalm.html |
1447f85f7be3-0 | langchain.chat_models.fireworks.completion_with_retry¶
langchain.chat_models.fireworks.completion_with_retry(llm: ChatFireworks, *, run_manager: Optional[CallbackManagerForLLMRun] = None, **kwargs: Any) → Any[source]¶
Use tenacity to retry the completion call. | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.completion_with_retry.html |
1b3c98181cd4-0 | langchain.chat_models.fireworks.acompletion_with_retry¶
async langchain.chat_models.fireworks.acompletion_with_retry(llm: ChatFireworks, *, run_manager: Optional[AsyncCallbackManagerForLLMRun] = None, **kwargs: Any) → Any[source]¶
Use tenacity to retry the async completion call. | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.acompletion_with_retry.html |
160d2bf6bd75-0 | langchain.chat_models.openai.acompletion_with_retry¶
async langchain.chat_models.openai.acompletion_with_retry(llm: ChatOpenAI, run_manager: Optional[AsyncCallbackManagerForLLMRun] = None, **kwargs: Any) → Any[source]¶
Use tenacity to retry the async completion call. | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.openai.acompletion_with_retry.html |
58ce38b8cb19-0 | langchain.chat_models.fireworks.ChatFireworks¶
class langchain.chat_models.fireworks.ChatFireworks[source]¶
Bases: BaseChatModel
Fireworks Chat models.
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 c... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
58ce38b8cb19-1 | Subclasses should override this method if they can batch more efficiently.
async agenerate(messages: List[List[BaseMessage]], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = Non... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
58ce38b8cb19-2 | async ainvoke(input: Union[PromptValue, str, List[BaseMessage]], config: Optional[RunnableConfig] = None, *, stop: Optional[List[str]] = None, **kwargs: Any) → BaseMessageChunk¶
Default implementation of ainvoke, which calls invoke in a thread pool.
Subclasses should override this method if they can run asynchronously.... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
58ce38b8cb19-3 | 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/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
58ce38b8cb19-4 | Bind arguments to a Runnable, returning a new Runnable.
call_as_llm(message: str, stop: Optional[List[str]] = None, **kwargs: Any) → str¶
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.
Defaul... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
58ce38b8cb19-5 | Top Level call
generate_prompt(prompts: List[PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → LLMResult¶
Pass a sequence of prompts to the model and return model generations.
This method should make use of batched calls f... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
58ce38b8cb19-6 | Parameters
text – The string input to tokenize.
Returns
The integer number of tokens in the text.
get_num_tokens_from_messages(messages: List[BaseMessage]) → int¶
Get the number of tokens in the messages.
Useful for checking if an input will fit in a model’s context window.
Parameters
messages – The message inputs to t... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
58ce38b8cb19-7 | The unique identifier is a list of strings that describes the path
to the object.
map() → Runnable[List[Input], List[Output]]¶
Return a new Runnable that maps a list of inputs to a list of outputs,
by calling invoke() with each input.
classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encod... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
58ce38b8cb19-8 | stop – Stop words to use when generating. Model output is cut off at the
first occurrence of any of these substrings.
**kwargs – Arbitrary additional keyword arguments. These are usually passed
to the model provider API call.
Returns
Top model prediction as a message.
classmethod schema(by_alias: bool = True, ref_templ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
58ce38b8cb19-9 | 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/chat_models/langchain.chat_models.fireworks.ChatFireworks.html |
12c19eb8911d-0 | langchain.chat_models.google_palm.achat_with_retry¶
async langchain.chat_models.google_palm.achat_with_retry(llm: ChatGooglePalm, **kwargs: Any) → Any[source]¶
Use tenacity to retry the async completion call. | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.google_palm.achat_with_retry.html |
1d98a0213b68-0 | langchain.chat_models.vertexai.ChatVertexAI¶
class langchain.chat_models.vertexai.ChatVertexAI[source]¶
Bases: _VertexAICommon, BaseChatModel
Vertex AI Chat large language models API.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parse... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-1 | Sampling temperature, it controls the degree of randomness in token selection.
param top_k: int = 40¶
How the model selects tokens for output, the next token is selected from
param top_p: float = 0.95¶
Tokens are selected from most probable to least until the sum of their
param verbose: bool [Optional]¶
Whether to prin... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-2 | API.
Use this method when you want to:
take advantage of batched calls,
need more output from the model than just the top generated value,
are building chains that are agnostic to the underlying language modeltype (e.g., pure text completion models vs chat models).
Parameters
prompts – List of PromptValues. A PromptVal... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-3 | **kwargs – Arbitrary additional keyword arguments. These are usually passed
to the model provider API call.
Returns
Top model prediction as a string.
async apredict_messages(messages: List[BaseMessage], *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → BaseMessage¶
Asynchronously pass messages to the model and ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-4 | 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: AsyncIterator[Input], config: Optional[RunnableConfig] = None, *... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-5 | 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/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-6 | text generation models and BaseMessages for chat models).
stop – Stop words to use when generating. Model output is cut off at the
first occurrence of any of these substrings.
callbacks – Callbacks to pass through. Used for executing additional
functionality, such as logging or streaming, throughout generation.
**kwarg... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-7 | invoke(input: Union[PromptValue, str, List[BaseMessage]], config: Optional[RunnableConfig] = None, *, stop: Optional[List[str]] = None, **kwargs: Any) → BaseMessageChunk¶
classmethod is_lc_serializable() → bool¶
Is this class serializable?
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, ex... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-8 | predict(text: str, *, stop: Optional[Sequence[str]] = None, **kwargs: Any) → str¶
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 m... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-9 | 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/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
1d98a0213b68-10 | property is_codey_model: bool¶
property lc_attributes: Dict¶
List of attribute names that should be included in the serialized kwargs.
These attributes must be accepted by the constructor.
property lc_secrets: Dict[str, str]¶
A map of constructor argument names to secret ids.
For example,{“openai_api_key”: “OPENAI_API_... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.vertexai.ChatVertexAI.html |
54930cf3d17f-0 | langchain.chat_models.litellm.ChatLiteLLMException¶
class langchain.chat_models.litellm.ChatLiteLLMException[source]¶
Error with the LiteLLM I/O library | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.litellm.ChatLiteLLMException.html |
1a165ea7d290-0 | langchain.chat_models.fake.FakeListChatModel¶
class langchain.chat_models.fake.FakeListChatModel[source]¶
Bases: SimpleChatModel
Fake ChatModel for testing purposes.
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 ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
1a165ea7d290-1 | Subclasses should override this method if they can batch more efficiently.
async agenerate(messages: List[List[BaseMessage]], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = Non... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
1a165ea7d290-2 | async ainvoke(input: Union[PromptValue, str, List[BaseMessage]], config: Optional[RunnableConfig] = None, *, stop: Optional[List[str]] = None, **kwargs: Any) → BaseMessageChunk¶
Default implementation of ainvoke, which calls invoke in a thread pool.
Subclasses should override this method if they can run asynchronously.... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
1a165ea7d290-3 | 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/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
1a165ea7d290-4 | Bind arguments to a Runnable, returning a new Runnable.
call_as_llm(message: str, stop: Optional[List[str]] = None, **kwargs: Any) → str¶
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.
Defaul... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
1a165ea7d290-5 | Top Level call
generate_prompt(prompts: List[PromptValue], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → LLMResult¶
Pass a sequence of prompts to the model and return model generations.
This method should make use of batched calls f... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
1a165ea7d290-6 | Parameters
text – The string input to tokenize.
Returns
The integer number of tokens in the text.
get_num_tokens_from_messages(messages: List[BaseMessage]) → int¶
Get the number of tokens in the messages.
Useful for checking if an input will fit in a model’s context window.
Parameters
messages – The message inputs to t... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
1a165ea7d290-7 | The unique identifier is a list of strings that describes the path
to the object.
map() → Runnable[List[Input], List[Output]]¶
Return a new Runnable that maps a list of inputs to a list of outputs,
by calling invoke() with each input.
classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encod... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
1a165ea7d290-8 | stop – Stop words to use when generating. Model output is cut off at the
first occurrence of any of these substrings.
**kwargs – Arbitrary additional keyword arguments. These are usually passed
to the model provider API call.
Returns
Top model prediction as a message.
classmethod schema(by_alias: bool = True, ref_templ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
1a165ea7d290-9 | 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/chat_models/langchain.chat_models.fake.FakeListChatModel.html |
fed50144c6c8-0 | langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway¶
class langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway[source]¶
Bases: BaseChatModel
MLflow AI Gateway chat models API.
To use, you should have the mlflow[gateway] python package installed.
For more information, see https://mlflow.org/docs/latest/g... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-1 | Call self as a function.
async abatch(inputs: List[Input], config: Optional[Union[RunnableConfig, List[RunnableConfig]]] = None, *, return_exceptions: bool = False, **kwargs: Optional[Any]) → List[Output]¶
Default implementation of abatch, which calls ainvoke N times.
Subclasses should override this method if they can ... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-2 | callbacks – Callbacks to pass through. Used for executing additional
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 ea... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-3 | first occurrence of any of these substrings.
**kwargs – Arbitrary additional keyword arguments. These are usually passed
to the model provider API call.
Returns
Top model prediction as a message.
async astream(input: Union[PromptValue, str, List[BaseMessage]], config: Optional[RunnableConfig] = None, *, stop: Optional[... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-4 | 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/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-5 | classmethod from_orm(obj: Any) → Model¶
generate(messages: List[List[BaseMessage]], stop: Optional[List[str]] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, *, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = None, run_name: Optional[str] = None, **kwarg... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-6 | 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_num_tokens(text: str) → int¶
Get the number of tokens present in the text.
Useful for checking if an input will fit in a model’s context window.
Parameters
text... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-7 | 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/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-8 | 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... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-9 | 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/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
fed50144c6c8-10 | 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/chat_models/langchain.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway.html |
72f9d2848d57-0 | langchain.chat_models.javelin_ai_gateway.ChatParams¶
class langchain.chat_models.javelin_ai_gateway.ChatParams[source]¶
Bases: BaseModel
Parameters for the Javelin AI Gateway LLM.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to... | https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.javelin_ai_gateway.ChatParams.html |
72f9d2848d57-1 | 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/chat_models/langchain.chat_models.javelin_ai_gateway.ChatParams.html |
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