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Docs: update Anthropic list of supported models

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Christian Tzolov
2024-07-03 11:07:42 +02:00
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spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/anthropic-chat-functions.adoc
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= Anthropic Function Calling
TIP: Starting of Jul 1th, 2024, streaming function calling and Tool use is supporetd.
You can register custom Java functions with the `AnthropicChatModel` and have the Anthropic models intelligently choose to output a JSON object containing arguments to call one or many of the registered functions.
This allows you to connect the LLM capabilities with external tools and APIs.
The `claude-3-opus`, `claude-3-sonnet` and `claude-3-haiku` link:https://docs.anthropic.com/claude/docs/tool-use#tool-use-best-practices-and-limitations[models are trained to detect when a function should be called] and to respond with JSON that adheres to the function signature.
The `claude-3-5-sonnet-20240620`, `claude-3-opus`, `claude-3-sonnet` and `claude-3-haiku` link:https://docs.anthropic.com/claude/docs/tool-use#tool-use-best-practices-and-limitations[models are trained to detect when a function should be called] and to respond with JSON that adheres to the function signature.
The Anthropic API does not call the function directly; instead, the model generates JSON that you can use to call the function in your code and return the result back to the model to complete the conversation.
NOTE: As of April 4th, 2024, streaming is not yet supported for function calling and Tool use is not yet available on third-party platforms like Vertex AI or AWS Bedrock, but is coming soon.
Spring AI provides flexible and user-friendly ways to register and call custom functions.
In general, the custom functions need to provide a function `name`, `description`, and the function call `signature` (as JSON schema) to let the model know what arguments the function expects.
The `description` helps the model to understand when to call the function.