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[package.dependencies] diff --git a/pyproject.toml b/pyproject.toml index 39f806a18..d368156a8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,7 +3,7 @@ name = "cohere" [tool.poetry] name = "cohere" -version = "5.18.0" +version = "5.19.0" description = "" readme = "README.md" authors = [] diff --git a/src/cohere/base_client.py b/src/cohere/base_client.py index 8351d43f0..dfde1c2a4 100644 --- a/src/cohere/base_client.py +++ b/src/cohere/base_client.py @@ -268,9 +268,8 @@ def chat_stream( Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments citation_quality : typing.Optional[ChatStreamRequestCitationQuality] - Defaults to `"accurate"`. - - Dictates the approach taken to generating citations as part of the RAG flow by allowing the user to specify whether they want `"accurate"` results, `"fast"` results or no results. + Defaults to `"enabled"`. + Citations are enabled by default for models that support it, but can be turned off by setting `"type": "disabled"`. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments @@ -406,7 +405,8 @@ def chat_stream( token="YOUR_TOKEN", ) response = client.chat_stream( - message="hello world!", + model="command-a-03-2025", + message="hello!", ) for chunk in response: yield chunk @@ -568,9 +568,8 @@ def chat( Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments citation_quality : typing.Optional[ChatRequestCitationQuality] - Defaults to `"accurate"`. - - Dictates the approach taken to generating citations as part of the RAG flow by allowing the user to specify whether they want `"accurate"` results, `"fast"` results or no results. + Defaults to `"enabled"`. + Citations are enabled by default for models that support it, but can be turned off by setting `"type": "disabled"`. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments @@ -699,27 +698,15 @@ def chat( Examples -------- - from cohere import ChatbotMessage, ChatConnector, Client, UserMessage + from cohere import Client client = Client( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) client.chat( - chat_history=[ - UserMessage( - message="Who discovered gravity?", - ), - ChatbotMessage( - message="The man who is widely credited with discovering gravity is Sir Isaac Newton", - ), - ], - message="What year was he born?", - connectors=[ - ChatConnector( - id="web-search", - ) - ], + model="command-a-03-2025", + message="Tell me about LLMs", ) """ _response = self._raw_client.chat( @@ -1073,7 +1060,7 @@ def embed( images : typing.Optional[typing.Sequence[str]] An array of image data URIs for the model to embed. Maximum number of images per call is `1`. - The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB. + The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg`, `image/png`, `image/webp`, or `image/gif` format and has a maximum size of 5MB. Images are only supported with Embed v3.0 and newer models. @@ -1724,9 +1711,8 @@ async def chat_stream( Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments citation_quality : typing.Optional[ChatStreamRequestCitationQuality] - Defaults to `"accurate"`. - - Dictates the approach taken to generating citations as part of the RAG flow by allowing the user to specify whether they want `"accurate"` results, `"fast"` results or no results. + Defaults to `"enabled"`. + Citations are enabled by default for models that support it, but can be turned off by setting `"type": "disabled"`. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments @@ -1867,7 +1853,8 @@ async def chat_stream( async def main() -> None: response = await client.chat_stream( - message="hello world!", + model="command-a-03-2025", + message="hello!", ) async for chunk in response: yield chunk @@ -2033,9 +2020,8 @@ async def chat( Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments citation_quality : typing.Optional[ChatRequestCitationQuality] - Defaults to `"accurate"`. - - Dictates the approach taken to generating citations as part of the RAG flow by allowing the user to specify whether they want `"accurate"` results, `"fast"` results or no results. + Defaults to `"enabled"`. + Citations are enabled by default for models that support it, but can be turned off by setting `"type": "disabled"`. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments @@ -2166,7 +2152,7 @@ async def chat( -------- import asyncio - from cohere import AsyncClient, ChatbotMessage, ChatConnector, UserMessage + from cohere import AsyncClient client = AsyncClient( client_name="YOUR_CLIENT_NAME", @@ -2176,20 +2162,8 @@ async def chat( async def main() -> None: await client.chat( - chat_history=[ - UserMessage( - message="Who discovered gravity?", - ), - ChatbotMessage( - message="The man who is widely credited with discovering gravity is Sir Isaac Newton", - ), - ], - message="What year was he born?", - connectors=[ - ChatConnector( - id="web-search", - ) - ], + model="command-a-03-2025", + message="Tell me about LLMs", ) @@ -2563,7 +2537,7 @@ async def embed( images : typing.Optional[typing.Sequence[str]] An array of image data URIs for the model to embed. Maximum number of images per call is `1`. - The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB. + The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg`, `image/png`, `image/webp`, or `image/gif` format and has a maximum size of 5MB. Images are only supported with Embed v3.0 and newer models. diff --git a/src/cohere/core/client_wrapper.py b/src/cohere/core/client_wrapper.py index 14a982f4b..fbc163f4f 100644 --- a/src/cohere/core/client_wrapper.py +++ b/src/cohere/core/client_wrapper.py @@ -22,10 +22,10 @@ def __init__( def get_headers(self) -> typing.Dict[str, str]: headers: typing.Dict[str, str] = { - "User-Agent": "cohere/5.18.0", + "User-Agent": "cohere/5.19.0", "X-Fern-Language": "Python", "X-Fern-SDK-Name": "cohere", - "X-Fern-SDK-Version": "5.18.0", + "X-Fern-SDK-Version": "5.19.0", } if self._client_name is not None: headers["X-Client-Name"] = self._client_name diff --git a/src/cohere/datasets/client.py b/src/cohere/datasets/client.py index ae9d46395..e00e404d8 100644 --- a/src/cohere/datasets/client.py +++ b/src/cohere/datasets/client.py @@ -120,7 +120,7 @@ def create( The name of the uploaded dataset. type : DatasetType - The dataset type, which is used to validate the data. Valid types are `embed-input`, `reranker-finetune-input`, `single-label-classification-finetune-input`, `chat-finetune-input`, and `multi-label-classification-finetune-input`. + The dataset type, which is used to validate the data. The only valid type is `embed-input` used in conjunction with the Embed Jobs API. data : core.File See core.File for more documentation @@ -384,7 +384,7 @@ async def create( The name of the uploaded dataset. type : DatasetType - The dataset type, which is used to validate the data. Valid types are `embed-input`, `reranker-finetune-input`, `single-label-classification-finetune-input`, `chat-finetune-input`, and `multi-label-classification-finetune-input`. + The dataset type, which is used to validate the data. The only valid type is `embed-input` used in conjunction with the Embed Jobs API. data : core.File See core.File for more documentation diff --git a/src/cohere/datasets/raw_client.py b/src/cohere/datasets/raw_client.py index 48ca90f87..c148178fb 100644 --- a/src/cohere/datasets/raw_client.py +++ b/src/cohere/datasets/raw_client.py @@ -265,7 +265,7 @@ def create( The name of the uploaded dataset. type : DatasetType - The dataset type, which is used to validate the data. Valid types are `embed-input`, `reranker-finetune-input`, `single-label-classification-finetune-input`, `chat-finetune-input`, and `multi-label-classification-finetune-input`. + The dataset type, which is used to validate the data. The only valid type is `embed-input` used in conjunction with the Embed Jobs API. data : core.File See core.File for more documentation @@ -1207,7 +1207,7 @@ async def create( The name of the uploaded dataset. type : DatasetType - The dataset type, which is used to validate the data. Valid types are `embed-input`, `reranker-finetune-input`, `single-label-classification-finetune-input`, `chat-finetune-input`, and `multi-label-classification-finetune-input`. + The dataset type, which is used to validate the data. The only valid type is `embed-input` used in conjunction with the Embed Jobs API. data : core.File See core.File for more documentation diff --git a/src/cohere/models/client.py b/src/cohere/models/client.py index 90dff69c2..61bd15f60 100644 --- a/src/cohere/models/client.py +++ b/src/cohere/models/client.py @@ -66,7 +66,7 @@ def list( request_options: typing.Optional[RequestOptions] = None, ) -> ListModelsResponse: """ - Returns a list of models available for use. The list contains models from Cohere as well as your fine-tuned models. + Returns a list of models available for use. Parameters ---------- @@ -175,7 +175,7 @@ async def list( request_options: typing.Optional[RequestOptions] = None, ) -> ListModelsResponse: """ - Returns a list of models available for use. The list contains models from Cohere as well as your fine-tuned models. + Returns a list of models available for use. Parameters ---------- diff --git a/src/cohere/models/raw_client.py b/src/cohere/models/raw_client.py index 8ad6eecbc..2dcaf2d21 100644 --- a/src/cohere/models/raw_client.py +++ b/src/cohere/models/raw_client.py @@ -210,7 +210,7 @@ def list( request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[ListModelsResponse]: """ - Returns a list of models available for use. The list contains models from Cohere as well as your fine-tuned models. + Returns a list of models available for use. Parameters ---------- @@ -578,7 +578,7 @@ async def list( request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[ListModelsResponse]: """ - Returns a list of models available for use. The list contains models from Cohere as well as your fine-tuned models. + Returns a list of models available for use. Parameters ---------- diff --git a/src/cohere/raw_base_client.py b/src/cohere/raw_base_client.py index 5801031e4..5f2cd4455 100644 --- a/src/cohere/raw_base_client.py +++ b/src/cohere/raw_base_client.py @@ -196,9 +196,8 @@ def chat_stream( Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments citation_quality : typing.Optional[ChatStreamRequestCitationQuality] - Defaults to `"accurate"`. - - Dictates the approach taken to generating citations as part of the RAG flow by allowing the user to specify whether they want `"accurate"` results, `"fast"` results or no results. + Defaults to `"enabled"`. + Citations are enabled by default for models that support it, but can be turned off by setting `"type": "disabled"`. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments @@ -663,9 +662,8 @@ def chat( Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments citation_quality : typing.Optional[ChatRequestCitationQuality] - Defaults to `"accurate"`. - - Dictates the approach taken to generating citations as part of the RAG flow by allowing the user to specify whether they want `"accurate"` results, `"fast"` results or no results. + Defaults to `"enabled"`. + Citations are enabled by default for models that support it, but can be turned off by setting `"type": "disabled"`. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments @@ -1607,7 +1605,7 @@ def embed( images : typing.Optional[typing.Sequence[str]] An array of image data URIs for the model to embed. Maximum number of images per call is `1`. - The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB. + The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg`, `image/png`, `image/webp`, or `image/gif` format and has a maximum size of 5MB. Images are only supported with Embed v3.0 and newer models. @@ -3111,9 +3109,8 @@ async def chat_stream( Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments citation_quality : typing.Optional[ChatStreamRequestCitationQuality] - Defaults to `"accurate"`. - - Dictates the approach taken to generating citations as part of the RAG flow by allowing the user to specify whether they want `"accurate"` results, `"fast"` results or no results. + Defaults to `"enabled"`. + Citations are enabled by default for models that support it, but can be turned off by setting `"type": "disabled"`. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments @@ -3578,9 +3575,8 @@ async def chat( Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments citation_quality : typing.Optional[ChatRequestCitationQuality] - Defaults to `"accurate"`. - - Dictates the approach taken to generating citations as part of the RAG flow by allowing the user to specify whether they want `"accurate"` results, `"fast"` results or no results. + Defaults to `"enabled"`. + Citations are enabled by default for models that support it, but can be turned off by setting `"type": "disabled"`. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments @@ -4522,7 +4518,7 @@ async def embed( images : typing.Optional[typing.Sequence[str]] An array of image data URIs for the model to embed. Maximum number of images per call is `1`. - The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB. + The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg`, `image/png`, `image/webp`, or `image/gif` format and has a maximum size of 5MB. Images are only supported with Embed v3.0 and newer models. diff --git a/src/cohere/types/api_meta.py b/src/cohere/types/api_meta.py index d5d77b262..7ed9b71fb 100644 --- a/src/cohere/types/api_meta.py +++ b/src/cohere/types/api_meta.py @@ -14,6 +14,11 @@ class ApiMeta(UncheckedBaseModel): api_version: typing.Optional[ApiMetaApiVersion] = None billed_units: typing.Optional[ApiMetaBilledUnits] = None tokens: typing.Optional[ApiMetaTokens] = None + cached_tokens: typing.Optional[float] = pydantic.Field(default=None) + """ + The number of prompt tokens that hit the inference cache. + """ + warnings: typing.Optional[typing.List[str]] = None if IS_PYDANTIC_V2: diff --git a/src/cohere/types/chat_request_citation_quality.py b/src/cohere/types/chat_request_citation_quality.py index cbe9777d2..089cee925 100644 --- a/src/cohere/types/chat_request_citation_quality.py +++ b/src/cohere/types/chat_request_citation_quality.py @@ -2,4 +2,4 @@ import typing -ChatRequestCitationQuality = typing.Union[typing.Literal["fast", "accurate", "off"], typing.Any] +ChatRequestCitationQuality = typing.Union[typing.Literal["ENABLED", "DISABLED", "FAST", "ACCURATE", "OFF"], typing.Any] diff --git a/src/cohere/types/chat_stream_request_citation_quality.py b/src/cohere/types/chat_stream_request_citation_quality.py index 23880dda0..4650b8556 100644 --- a/src/cohere/types/chat_stream_request_citation_quality.py +++ b/src/cohere/types/chat_stream_request_citation_quality.py @@ -2,4 +2,6 @@ import typing -ChatStreamRequestCitationQuality = typing.Union[typing.Literal["fast", "accurate", "off"], typing.Any] +ChatStreamRequestCitationQuality = typing.Union[ + typing.Literal["ENABLED", "DISABLED", "FAST", "ACCURATE", "OFF"], typing.Any +] diff --git a/src/cohere/types/citation_options.py b/src/cohere/types/citation_options.py index ef78155f1..aa5e3deee 100644 --- a/src/cohere/types/citation_options.py +++ b/src/cohere/types/citation_options.py @@ -15,10 +15,8 @@ class CitationOptions(UncheckedBaseModel): mode: typing.Optional[CitationOptionsMode] = pydantic.Field(default=None) """ - Defaults to `"accurate"`. - Dictates the approach taken to generating citations as part of the RAG flow by allowing the user to specify whether they want `"accurate"` results, `"fast"` results or no results. - - **Note**: `command-r7b-12-2024` and `command-a-03-2025` only support `"fast"` and `"off"` modes. The default is `"fast"`. + Defaults to `"enabled"`. + Citations are enabled by default for models that support it, but can be turned off by setting `"type": "disabled"`. """ if IS_PYDANTIC_V2: diff --git a/src/cohere/types/citation_options_mode.py b/src/cohere/types/citation_options_mode.py index ddfdf67f2..b159696c9 100644 --- a/src/cohere/types/citation_options_mode.py +++ b/src/cohere/types/citation_options_mode.py @@ -2,4 +2,4 @@ import typing -CitationOptionsMode = typing.Union[typing.Literal["FAST", "ACCURATE", "OFF"], typing.Any] +CitationOptionsMode = typing.Union[typing.Literal["ENABLED", "DISABLED", "FAST", "ACCURATE", "OFF"], typing.Any] diff --git a/src/cohere/types/dataset_type.py b/src/cohere/types/dataset_type.py index b9e0c1441..c4dc6e44b 100644 --- a/src/cohere/types/dataset_type.py +++ b/src/cohere/types/dataset_type.py @@ -12,6 +12,10 @@ "single-label-classification-finetune-input", "chat-finetune-input", "multi-label-classification-finetune-input", + "batch-chat-input", + "batch-openai-chat-input", + "batch-embed-v2-input", + "batch-chat-v2-input", ], typing.Any, ] diff --git a/src/cohere/types/get_model_response.py b/src/cohere/types/get_model_response.py index 3344af1b4..3f148a087 100644 --- a/src/cohere/types/get_model_response.py +++ b/src/cohere/types/get_model_response.py @@ -43,11 +43,6 @@ class GetModelResponse(UncheckedBaseModel): Public URL to the tokenizer's configuration file. """ - supports_vision: typing.Optional[bool] = pydantic.Field(default=None) - """ - Whether the model supports image inputs or not. - """ - default_endpoints: typing.Optional[typing.List[CompatibleEndpoint]] = pydantic.Field(default=None) """ The API endpoints that the model is default to. diff --git a/src/cohere/types/usage.py b/src/cohere/types/usage.py index 2c5cdd603..0b04dcfc6 100644 --- a/src/cohere/types/usage.py +++ b/src/cohere/types/usage.py @@ -5,13 +5,13 @@ import pydantic from ..core.pydantic_utilities import IS_PYDANTIC_V2 from ..core.unchecked_base_model import UncheckedBaseModel -from .usage_billed_units import UsageBilledUnits -from .usage_tokens import UsageTokens class Usage(UncheckedBaseModel): - billed_units: typing.Optional[UsageBilledUnits] = None - tokens: typing.Optional[UsageTokens] = None + cached_tokens: typing.Optional[float] = pydantic.Field(default=None) + """ + The number of prompt tokens that hit the inference cache. + """ if IS_PYDANTIC_V2: model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow") # type: ignore # Pydantic v2 diff --git a/src/cohere/v2/client.py b/src/cohere/v2/client.py index a19d78e27..09e4e3a64 100644 --- a/src/cohere/v2/client.py +++ b/src/cohere/v2/client.py @@ -76,7 +76,7 @@ def chat_stream( Parameters ---------- model : str - The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model. + The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models). messages : ChatMessages @@ -175,10 +175,10 @@ def chat_stream( token="YOUR_TOKEN", ) response = client.v2.chat_stream( - model="command-r", + model="command-a-03-2025", messages=[ UserChatMessageV2( - content="Hello!", + content="Tell me about LLMs", ) ], ) @@ -241,7 +241,7 @@ def chat( Parameters ---------- model : str - The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model. + The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models). messages : ChatMessages @@ -406,7 +406,7 @@ def embed( images : typing.Optional[typing.Sequence[str]] An array of image data URIs for the model to embed. Maximum number of images per call is `1`. - The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB. + The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg`, `image/png`, `image/webp`, or `image/gif` format and has a maximum size of 5MB. Image embeddings are supported with Embed v3.0 and newer models. @@ -596,7 +596,7 @@ async def chat_stream( Parameters ---------- model : str - The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model. + The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models). messages : ChatMessages @@ -700,10 +700,10 @@ async def chat_stream( async def main() -> None: response = await client.v2.chat_stream( - model="command-r", + model="command-a-03-2025", messages=[ UserChatMessageV2( - content="Hello!", + content="Tell me about LLMs", ) ], ) @@ -770,7 +770,7 @@ async def chat( Parameters ---------- model : str - The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model. + The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models). messages : ChatMessages @@ -943,7 +943,7 @@ async def embed( images : typing.Optional[typing.Sequence[str]] An array of image data URIs for the model to embed. Maximum number of images per call is `1`. - The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB. + The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg`, `image/png`, `image/webp`, or `image/gif` format and has a maximum size of 5MB. Image embeddings are supported with Embed v3.0 and newer models. diff --git a/src/cohere/v2/raw_client.py b/src/cohere/v2/raw_client.py index 630d5d3d9..6c210484c 100644 --- a/src/cohere/v2/raw_client.py +++ b/src/cohere/v2/raw_client.py @@ -85,7 +85,7 @@ def chat_stream( Parameters ---------- model : str - The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model. + The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models). messages : ChatMessages @@ -415,7 +415,7 @@ def chat( Parameters ---------- model : str - The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model. + The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models). messages : ChatMessages @@ -729,7 +729,7 @@ def embed( images : typing.Optional[typing.Sequence[str]] An array of image data URIs for the model to embed. Maximum number of images per call is `1`. - The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB. + The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg`, `image/png`, `image/webp`, or `image/gif` format and has a maximum size of 5MB. Image embeddings are supported with Embed v3.0 and newer models. @@ -1181,7 +1181,7 @@ async def chat_stream( Parameters ---------- model : str - The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model. + The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models). messages : ChatMessages @@ -1511,7 +1511,7 @@ async def chat( Parameters ---------- model : str - The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/v2/docs/chat-fine-tuning) model. + The name of a compatible [Cohere model](https://docs.cohere.com/v2/docs/models). messages : ChatMessages @@ -1825,7 +1825,7 @@ async def embed( images : typing.Optional[typing.Sequence[str]] An array of image data URIs for the model to embed. Maximum number of images per call is `1`. - The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg` or `image/png` format and has a maximum size of 5MB. + The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg`, `image/png`, `image/webp`, or `image/gif` format and has a maximum size of 5MB. Image embeddings are supported with Embed v3.0 and newer models.