{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/3"}],"enrichment":{"capability":"Connects Agent Framework applications to Anthropic's API, providing client implementations for direct Anthropic endpoints and hosted transports via Microsoft Foundry, Amazon Bedrock, and Google Vertex AI.","skillfed_tags":["agent-framework","anthropic-integration","multi-cloud-transport"],"use_cases":["Build multi-provider agent applications that can switch between direct Anthropic and hosted transports without changing core logic.","Implement agents with prompt caching to reduce latency and costs on repeated or similar requests to Anthropic.","Route agent workloads through Amazon Bedrock or Google Vertex AI for compliance, latency, or organizational requirements.","Stream agent responses for real-time interaction while maintaining structured system prompts with cache control.","Integrate Anthropic models into existing Microsoft Agent Framework deployments."],"what_it_does":"This package bridges Microsoft's Agent Framework with Anthropic's API, letting you build agent applications that call Anthropic models. It provides a unified client interface (AnthropicClient) for direct Anthropic endpoints and three hosted transport wrappers\u2014AnthropicFoundryClient, AnthropicBedrockClient, and AnthropicVertexClient\u2014that route requests through Microsoft Foundry, Amazon Bedrock, and Google Vertex AI respectively.\n\nThe package supports both streaming and non-streaming responses, and includes structured system block support for Anthropic's prompt caching feature with cache control metadata. It depends on agent-framework-core for the framework scaffolding and anthropic for API communication. The package is in beta and requires Python 3.10 or later.","worth_installing":"Yes, if you are building agents with Microsoft Agent Framework and want to use Anthropic models. The package is actively maintained, has low install friction, carries a permissive MIT license, and offers both direct and multi-cloud transport options. Be aware it is in beta\u2014test thoroughly before production use."},"id":"agent-framework-anthropic","links":{"html":"https://skillfed.io/packages/agent-framework-anthropic","md":"https://skillfed.io/packages/agent-framework-anthropic.md","pypi":"https://pypi.org/project/agent-framework-anthropic/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-30","license_spdx":null,"license_treatment":"permissive","name":"agent-framework-anthropic","python_support":"supports_current","summary":"Anthropic integration for Microsoft Agent Framework."},"popularity":{"monthly_downloads":543188,"position":6085,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0b260730"}