.Net: feat: Add Anthropic Connector for Claude models #13419
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Adds a new connector for Anthropic's Claude models with full feature parity to other SK connectors: Features: - Chat completion (streaming and non-streaming) - Auto function calling with proper text and usage aggregation - Tool/function definitions and invocation - Multi-modal support (images) - Prompt execution settings (temperature, top_p, max_tokens, etc.) - Auto function invocation filters - Telemetry and activity tracing Key implementation details: - Text content generated before tool calls is preserved across iterations - Token usage (InputTokens, OutputTokens, TotalTokens) is aggregated across all function calling iterations - All exit points (normal completion, filter termination, max iterations) correctly apply aggregated values - Defensive validation for API response edge cases Includes comprehensive unit tests (157 tests) covering: - Chat completion scenarios - Function calling with filters - Streaming behavior - Text and usage aggregation - Error handling
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Motivation and Context
This PR adds a native Anthropic connector for Semantic Kernel, enabling direct integration with Claude models.
Why is this change required?
What problem does it solve?
What scenario does it contribute to?
Description
This PR introduces a complete Anthropic connector with full feature parity to other SK connectors.
Implementation approach:
Anthropic.SDKNuGet package)IAutoFunctionInvocationFilter)Supported Prompt Execution Settings:
ModelId,MaxTokens,Temperature,TopP,TopKStopSequences,SystemPromptFunctionChoiceBehavior(Auto, Required, None)Testing:
The connector includes 157 unit tests covering chat completion, function calling with filters, streaming, multi-modal content, error handling, and settings serialization.
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