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Release Notes

September 26, 2024
September 26, 2024
September 26, 2024
September 26, 2024

Refreshed Command R and R+ models now on Azure

You’ll recall that we released refreshed models of Command R and Command R+ in August.

Today, we’re pleased to announce that these models are available on the Azure cloud computing platform!

You can find more information about using Cohere’s Command models on Azure here.

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New Embed, Rerank, Chat, and Classify APIs

We’re excited to introduce improvements to our Chat, Classify, Embed, and Rerank APIs in a major version upgrade, making it easier and faster to build with Cohere. We are also releasing new versions of our Python, TypeScript, Java, and Go SDKs which feature cohere.ClientV2 for access to the new API.

New at a glance

  • V2 Chat, Classify, Embed, and Rerank: model is a required parameter
  • V2 Embed: embedding_types is a required parameter
  • V2 Chat: Message and chat history are combined in a single messages array
  • V2 Chat: Tools are defined in JSON schema
  • V2 Chat: Introduces tool_call_ids to match tool calls with tool results
  • V2 Chat: documents supports a list of strings or a list of objects with document metadata
  • V2 Chat streaming: Uses server-sent events

Other updates

We are simplifying the Chat API by removing support for the following parameters available in V1:

  • search_queries_only, which generates only a search query given a user’s message input. search_queries_only is not supported in the V2 Chat API today, but will be supported at a later date.
  • connectors, which enables users to register a data source with Cohere for RAG queries. To use the Chat V2 API with web search, see our migration guide for instructios to implement a web search tool.
  • conversation_id, used to manage chat history on behalf of the developer. This will not be supported in the V2 Chat API.
  • prompt_truncation, used to automatically rerank and remove documents if the query did not fit in the model’s context limit. This will not be supported in the V2 Chat API.
  • force_single_step, which forced the model to finish tool calling in one set of turns. This will not be supported in the V2 Chat API.
  • preamble, used for giving the model task, context, and style instructions. Use a system turn at the beginning of your messages array in V2.
  • citation_quality, for users to select between fast citations, accurate citations (slightly higher latency than fast), or citations off. In V2 Chat, we are introducing a top level citation_options parameter for all citation settings. citation_quality will be replaced by a mode parameter within citation_options.

See our Chat API migration guide for detailed instructions to update your implementation.

These APIs are in Beta and are subject to updates. We welcome feedback in our Discord channel.