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1c0ae4b659
* Added shell tool * Fixed CI error * Add ShellTool support for OpenAI and Anthropic providers - Add shell_tool_call, shell_tool_result, and shell_command_output content types - Add ShellTool class and shell_tool decorator to core - Add get_hosted_shell_tool() to OpenAI Responses client - Handle shell_call and shell_call_output parsing in OpenAI (sync and streaming) - Map ShellTool to Anthropic bash tool API format - Parse bash_code_execution_tool_result as shell_tool_result in Anthropic - Add unit tests for all new functionality - Add sample scripts for hosted and local shell execution Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Addressed comments * Reverted ruff change * Fixed tests * Addressed comments --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
1c0ae4b659
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Anthropic Examples
This folder contains examples demonstrating how to use Anthropic's Claude models with the Agent Framework.
Anthropic Client Examples
| File | Description |
|---|---|
anthropic_basic.py |
Demonstrates how to setup a simple agent using the AnthropicClient, with both streaming and non-streaming responses. |
anthropic_advanced.py |
Shows advanced usage of the AnthropicClient, including hosted tools and thinking. |
anthropic_skills.py |
Illustrates how to use Anthropic-managed Skills with an agent, including the Code Interpreter tool and file generation and saving. |
anthropic_foundry.py |
Example of using Foundry's Anthropic integration with the Agent Framework. |
Claude Agent Examples
| File | Description |
|---|---|
anthropic_claude_basic.py |
Basic usage of ClaudeAgent with streaming, non-streaming, and custom tools. |
anthropic_claude_with_tools.py |
Using built-in tools (Read, Glob, Grep, etc.). |
anthropic_claude_with_shell.py |
Shell command execution with interactive permission handling. |
anthropic_claude_with_multiple_permissions.py |
Combining multiple tools (Bash, Read, Write) with permission prompts. |
anthropic_claude_with_url.py |
Fetching and processing web content with WebFetch. |
anthropic_claude_with_mcp.py |
Local (stdio) and remote (HTTP) MCP server configuration. |
anthropic_claude_with_session.py |
Session management, persistence, and resumption. |
Environment Variables
Anthropic Client
ANTHROPIC_API_KEY: Your Anthropic API key (get one from Anthropic Console)ANTHROPIC_CHAT_MODEL_ID: The Claude model to use (e.g.,claude-haiku-4-5,claude-sonnet-4-5-20250929)
Foundry
ANTHROPIC_FOUNDRY_API_KEY: Your Foundry Anthropic API keyANTHROPIC_FOUNDRY_ENDPOINT: The endpoint URL for your Foundry Anthropic resourceANTHROPIC_CHAT_MODEL_ID: The Claude model to use in Foundry (e.g.,claude-haiku-4-5)
Claude Agent
CLAUDE_AGENT_CLI_PATH: Path to the Claude Code CLI executableCLAUDE_AGENT_MODEL: Model to use (sonnet, opus, haiku)CLAUDE_AGENT_CWD: Working directory for Claude CLICLAUDE_AGENT_PERMISSION_MODE: Permission mode (default, acceptEdits, plan, bypassPermissions)CLAUDE_AGENT_MAX_TURNS: Maximum number of conversation turnsCLAUDE_AGENT_MAX_BUDGET_USD: Maximum budget in USD