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* Python: use local MCP server for hosted tools test and broaden image assertion The hosted tools integration test was hitting rate limits on the external learn.microsoft.com MCP server, causing persistent failures that retries couldn't recover from. Switch to the local MCP server already spun up in CI via LOCAL_MCP_URL, skipping when the env var isn't set. Also broaden the image description assertion to accept common synonyms (cottage, mansion, villa, etc.) instead of just "house", since the model legitimately uses varied vocabulary for the same image. * Address review feedback: validate LOCAL_MCP_URL scheme and use word boundaries - Skip hosted tools test when LOCAL_MCP_URL lacks http/https scheme, matching the pattern used in test_mcp.py. - Use regex word boundaries for image assertion to avoid false matches like "villain" matching "villa".
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Get Started with Microsoft Agent Framework Anthropic
Please install this package via pip:
pip install agent-framework-anthropic --pre
Anthropic Integration
The Anthropic integration enables communication with the Anthropic API, allowing your Agent Framework applications to leverage Anthropic's capabilities.
The package also includes Anthropic-hosted transport wrappers for:
- Azure AI Foundry via
AnthropicFoundryClient - Amazon Bedrock via
AnthropicBedrockClient - Google Vertex AI via
AnthropicVertexClient
Basic Usage Example
See the Anthropic agent examples which demonstrate:
- Connecting to a Anthropic endpoint with an agent
- Streaming and non-streaming responses