pydantic_ai.models.cohere

Setup

For details on how to set up authentication with this model, see model configuration for Cohere.

LatestCohereModelNames module-attribute

LatestCohereModelNames = Literal[
    "c4ai-aya-expanse-32b",
    "c4ai-aya-expanse-8b",
    "command",
    "command-light",
    "command-light-nightly",
    "command-nightly",
    "command-r",
    "command-r-03-2024",
    "command-r-08-2024",
    "command-r-plus",
    "command-r-plus-04-2024",
    "command-r-plus-08-2024",
    "command-r7b-12-2024",
]

Latest Cohere models.

CohereModelName module-attribute

CohereModelName = Union[str, LatestCohereModelNames]

Possible Cohere model names.

Since Cohere supports a variety of date-stamped models, we explicitly list the latest models but allow any name in the type hints. See Cohere's docs for a list of all available models.

CohereModelSettings

Bases: ModelSettings

Settings used for a Cohere model request.

ALL FIELDS MUST BE cohere_ PREFIXED SO YOU CAN MERGE THEM WITH OTHER MODELS.

Source code in pydantic_ai_slim/pydantic_ai/models/cohere.py

class CohereModelSettings(ModelSettings):
    """Settings used for a Cohere model request.

    ALL FIELDS MUST BE `cohere_` PREFIXED SO YOU CAN MERGE THEM WITH OTHER MODELS.
    """

CohereModel dataclass

Bases: Model

A model that uses the Cohere API.

Internally, this uses the Cohere Python client to interact with the API.

Apart from __init__, all methods are private or match those of the base class.

Source code in pydantic_ai_slim/pydantic_ai/models/cohere.py

@dataclass(init=False)
class CohereModel(Model):
    """A model that uses the Cohere API.

    Internally, this uses the [Cohere Python client](
    https://github.com/cohere-ai/cohere-python) to interact with the API.

    Apart from `__init__`, all methods are private or match those of the base class.
    """

    client: AsyncClientV2 = field(repr=False)

    _model_name: CohereModelName = field(repr=False)
    _system: str = field(default='cohere', repr=False)

    def __init__(
        self,
        model_name: CohereModelName,
        *,
        provider: Literal['cohere'] | Provider[AsyncClientV2] = 'cohere',
    ):
        """Initialize an Cohere model.

        Args:
            model_name: The name of the Cohere model to use. List of model names
                available [here](https://docs.cohere.com/docs/models#command).
            provider: The provider to use for authentication and API access. Can be either the string
                'cohere' or an instance of `Provider[AsyncClientV2]`. If not provided, a new provider will be
                created using the other parameters.
        """
        self._model_name: CohereModelName = model_name

        if isinstance(provider, str):
            provider = infer_provider(provider)
        self.client = provider.client

    @property
    def base_url(self) -> str:
        client_wrapper = self.client._client_wrapper  # type: ignore
        return str(client_wrapper.get_base_url())

    async def request(
        self,
        messages: list[ModelMessage],
        model_settings: ModelSettings | None,
        model_request_parameters: ModelRequestParameters,
    ) -> tuple[ModelResponse, result.Usage]:
        check_allow_model_requests()
        response = await self._chat(messages, cast(CohereModelSettings, model_settings or {}), model_request_parameters)
        return self._process_response(response), _map_usage(response)

    @property
    def model_name(self) -> CohereModelName:
        """The model name."""
        return self._model_name

    @property
    def system(self) -> str:
        """The system / model provider."""
        return self._system

    async def _chat(
        self,
        messages: list[ModelMessage],
        model_settings: CohereModelSettings,
        model_request_parameters: ModelRequestParameters,
    ) -> ChatResponse:
        tools = self._get_tools(model_request_parameters)
        cohere_messages = list(chain(*(self._map_message(m) for m in messages)))
        try:
            return await self.client.chat(
                model=self._model_name,
                messages=cohere_messages,
                tools=tools or OMIT,
                max_tokens=model_settings.get('max_tokens', OMIT),
                temperature=model_settings.get('temperature', OMIT),
                p=model_settings.get('top_p', OMIT),
                seed=model_settings.get('seed', OMIT),
                presence_penalty=model_settings.get('presence_penalty', OMIT),
                frequency_penalty=model_settings.get('frequency_penalty', OMIT),
            )
        except ApiError as e:
            if (status_code := e.status_code) and status_code >= 400:
                raise ModelHTTPError(status_code=status_code, model_name=self.model_name, body=e.body) from e
            raise

    def _process_response(self, response: ChatResponse) -> ModelResponse:
        """Process a non-streamed response, and prepare a message to return."""
        parts: list[ModelResponsePart] = []
        if response.message.content is not None and len(response.message.content) > 0:
            # While Cohere's API returns a list, it only does that for future proofing
            # and currently only one item is being returned.
            choice = response.message.content[0]
            parts.append(TextPart(choice.text))
        for c in response.message.tool_calls or []:
            if c.function and c.function.name and c.function.arguments:
                parts.append(
                    ToolCallPart(
                        tool_name=c.function.name,
                        args=c.function.arguments,
                        tool_call_id=c.id or _generate_tool_call_id(),
                    )
                )
        return ModelResponse(parts=parts, model_name=self._model_name)

    def _map_message(self, message: ModelMessage) -> Iterable[ChatMessageV2]:
        """Just maps a `pydantic_ai.Message` to a `cohere.ChatMessageV2`."""
        if isinstance(message, ModelRequest):
            yield from self._map_user_message(message)
        elif isinstance(message, ModelResponse):
            texts: list[str] = []
            tool_calls: list[ToolCallV2] = []
            for item in message.parts:
                if isinstance(item, TextPart):
                    texts.append(item.content)
                elif isinstance(item, ToolCallPart):
                    tool_calls.append(self._map_tool_call(item))
                else:
                    assert_never(item)
            message_param = AssistantChatMessageV2(role='assistant')
            if texts:
                message_param.content = [TextAssistantMessageContentItem(text='\n\n'.join(texts))]
            if tool_calls:
                message_param.tool_calls = tool_calls
            yield message_param
        else:
            assert_never(message)

    def _get_tools(self, model_request_parameters: ModelRequestParameters) -> list[ToolV2]:
        tools = [self._map_tool_definition(r) for r in model_request_parameters.function_tools]
        if model_request_parameters.result_tools:
            tools += [self._map_tool_definition(r) for r in model_request_parameters.result_tools]
        return tools

    @staticmethod
    def _map_tool_call(t: ToolCallPart) -> ToolCallV2:
        return ToolCallV2(
            id=_guard_tool_call_id(t=t),
            type='function',
            function=ToolCallV2Function(
                name=t.tool_name,
                arguments=t.args_as_json_str(),
            ),
        )

    @staticmethod
    def _map_tool_definition(f: ToolDefinition) -> ToolV2:
        return ToolV2(
            type='function',
            function=ToolV2Function(
                name=f.name,
                description=f.description,
                parameters=f.parameters_json_schema,
            ),
        )

    @classmethod
    def _map_user_message(cls, message: ModelRequest) -> Iterable[ChatMessageV2]:
        for part in message.parts:
            if isinstance(part, SystemPromptPart):
                yield SystemChatMessageV2(role='system', content=part.content)
            elif isinstance(part, UserPromptPart):
                if isinstance(part.content, str):
                    yield UserChatMessageV2(role='user', content=part.content)
                else:
                    raise RuntimeError('Cohere does not yet support multi-modal inputs.')
            elif isinstance(part, ToolReturnPart):
                yield ToolChatMessageV2(
                    role='tool',
                    tool_call_id=_guard_tool_call_id(t=part),
                    content=part.model_response_str(),
                )
            elif isinstance(part, RetryPromptPart):
                if part.tool_name is None:
                    yield UserChatMessageV2(role='user', content=part.model_response())
                else:
                    yield ToolChatMessageV2(
                        role='tool',
                        tool_call_id=_guard_tool_call_id(t=part),
                        content=part.model_response(),
                    )
            else:
                assert_never(part)

__init__

__init__(
    model_name: CohereModelName,
    *,
    provider: (
        Literal["cohere"] | Provider[AsyncClientV2]
    ) = "cohere"
)

Initialize an Cohere model.

Parameters:

Name	Type	Description	Default
model_name	CohereModelName	The name of the Cohere model to use. List of model names available here.	required
provider	Literal['cohere'] | Provider[AsyncClientV2]	The provider to use for authentication and API access. Can be either the string 'cohere' or an instance of Provider[AsyncClientV2]. If not provided, a new provider will be created using the other parameters.	'cohere'

Source code in pydantic_ai_slim/pydantic_ai/models/cohere.py

def __init__(
    self,
    model_name: CohereModelName,
    *,
    provider: Literal['cohere'] | Provider[AsyncClientV2] = 'cohere',
):
    """Initialize an Cohere model.

    Args:
        model_name: The name of the Cohere model to use. List of model names
            available [here](https://docs.cohere.com/docs/models#command).
        provider: The provider to use for authentication and API access. Can be either the string
            'cohere' or an instance of `Provider[AsyncClientV2]`. If not provided, a new provider will be
            created using the other parameters.
    """
    self._model_name: CohereModelName = model_name

    if isinstance(provider, str):
        provider = infer_provider(provider)
    self.client = provider.client

model_name property

model_name: CohereModelName

The model name.

system property

system: str

The system / model provider.