What is the primary purpose of the Teams Anthropic Patterns skill?

It provides standardized implementation patterns for integrating Anthropic's Claude models into Microsoft Teams applications using the Teams.ai framework.

Which runtime is recommended for these integration patterns?

The skill is specifically optimized for Bun (>= 1.2.21), though the TypeScript patterns are applicable to other environments using Teams.ai and the Anthropic SDK.

How does it handle system messages for Anthropic?

It provides a pattern for extracting system messages from the Teams.ai conversation array and placing them into Anthropic's dedicated top-level system parameter to prevent API errors.

Why use this skill instead of standard Anthropic SDK calls?

This skill ensures compatibility with the Teams.ai Memory API and handles specific message transformations required for Anthropic's API to work seamlessly within Teams environments.

Does this skill support function calling and tool use?

Yes, it includes patterns for mapping Teams.ai function handlers to Anthropic Tool Use blocks, including mandatory function_id management and recursive execution.

Teams Anthropic Integration Patterns

Name: Teams Anthropic Integration Patterns
Author: youdotcom-oss

byyoudotcom-oss

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Herramientas de Colaboración

Integrates Anthropic SDK with the Microsoft Teams.ai framework using standardized patterns for memory, streaming, and function calling.

Acerca de

This skill provides a comprehensive set of development patterns and best practices for developers building Microsoft Teams applications powered by Anthropic's Claude models. It bridges the gap between the Teams.ai framework and the Anthropic SDK, offering specific guidance on handling the Memory API, implementing robust function-calling architectures, and managing streaming responses. It is essential for ensuring type safety, correct message transformation, and efficient interaction between Teams.ai's state management and Anthropic's unique API requirements, specifically optimized for the Bun runtime.

Características Principales

Optimized Anthropic Streaming integration using the specialized messages.stream() method
7 GitHub stars
Strict TypeScript type assertions for safe Anthropic content block handling
Standardized Teams.ai Memory API implementation using push() and values() patterns
Automated System Message extraction and transformation for Anthropic API compliance
Advanced Function Calling support with automatic function_id correlation and handler access

Casos de Uso

Building AI-powered collaboration bots for Microsoft Teams using Claude models
Developing high-performance AI applications using Bun and the You.com DX Toolkit
Implementing complex tool-use and multi-turn conversations within the Teams.ai ecosystem

Acerca de

Características Principales

Optimized Anthropic Streaming integration using the specialized messages.stream() method
7 GitHub stars
Strict TypeScript type assertions for safe Anthropic content block handling
Standardized Teams.ai Memory API implementation using push() and values() patterns
Automated System Message extraction and transformation for Anthropic API compliance
Advanced Function Calling support with automatic function_id correlation and handler access

Casos de Uso

Building AI-powered collaboration bots for Microsoft Teams using Claude models
Developing high-performance AI applications using Bun and the You.com DX Toolkit
Implementing complex tool-use and multi-turn conversations within the Teams.ai ecosystem