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https://github.com/microsoft/agent-framework.git
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chetantoshniwal
47d82911c0
* Fix server_tool_use input_json_delta handling and improve Anthropic samples - Fix: Skip input_json_delta for server_tool_use content blocks in AnthropicClient streaming. Server-managed tools (e.g., skills with code interpreter) were producing Content.from_function_call(name='') entries that caused Anthropic API 400 errors on subsequent turns. - Samples: Add dotenv loading and environment variable documentation to Anthropic Claude samples (MCP, permissions, session, shell, tools, URL, skills). * Add regression test for server_tool_use + input_json_delta skip behavior Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/7c68dcb2-b577-4e36-b423-664b8fe3ac1d Co-authored-by: chetantoshniwal <255221507+chetantoshniwal@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: chetantoshniwal <255221507+chetantoshniwal@users.noreply.github.com>
98 lines
3.8 KiB
Python
98 lines
3.8 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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import logging
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from pathlib import Path
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from agent_framework import Agent, Content
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from agent_framework.anthropic import AnthropicChatOptions, AnthropicClient
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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logger = logging.getLogger(__name__)
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"""
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Anthropic Skills Agent Example
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This sample demonstrates using Anthropic with:
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- Listing and using Anthropic-managed Skills.
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- One approach to add additional beta flags.
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You can also set additonal_chat_options with "additional_beta_flags" per request.
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- Creating an agent with the Code Interpreter tool and a Skill.
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- Catching and downloading generated files from the agent.
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Environment variables:
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- ANTHROPIC_API_KEY: Your Anthropic API key
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- ANTHROPIC_CHAT_MODEL_ID: The Anthropic model to use, such as "claude-sonnet-4-5-20250929"
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"""
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async def main() -> None:
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"""Example of streaming response (get results as they are generated)."""
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client = AnthropicClient[AnthropicChatOptions](additional_beta_flags=["skills-2025-10-02"])
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# List Anthropic-managed Skills
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skills = await client.anthropic_client.beta.skills.list(source="anthropic", betas=["skills-2025-10-02"]) # type: ignore
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for skill in skills.data:
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print(f"{skill.source}: {skill.id} (version: {skill.latest_version})")
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# Create a agent with the pptx skill enabled
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# Skills also need the code interpreter tool to function
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agent = Agent(
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client=client,
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name="DocsAgent",
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instructions="You are a helpful agent for creating powerpoint presentations.",
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tools=client.get_code_interpreter_tool(),
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default_options={
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"max_tokens": 4096,
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"thinking": {"type": "enabled", "budget_tokens": 2000},
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"container": {"skills": [{"type": "anthropic", "skill_id": "pptx", "version": "latest"}]},
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},
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)
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print(
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"The agent output will use the following colors:\n"
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"\033[0mUser: (default)\033[0m\n"
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"\033[0mAgent: (default)\033[0m\n"
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"\033[32mAgent Reasoning: (green)\033[0m\n"
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"\033[34mUsage: (blue)\033[0m\n"
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)
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query = "Create a simple presentation with 2 slides about Python programming"
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print(f"User: {query}")
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print("Agent: ", end="", flush=True)
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files: list[Content] = []
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async for chunk in agent.run(query, stream=True):
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for content in chunk.contents:
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match content.type:
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case "text":
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print(content.text, end="", flush=True)
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case "text_reasoning":
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print(f"\033[32m{content.text}\033[0m", end="", flush=True)
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case "usage":
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print(f"\n\033[34m[Usage so far: {content.usage_details}]\033[0m\n", end="", flush=True)
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case "hosted_file":
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# Catch generated files
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files.append(content)
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case _:
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logger.debug("Unhandled content type: %s", content.type)
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pass
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print("\n")
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if files:
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# Save to a new file (will be in the folder where you are running this script)
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# When running this sample multiple times, the files will be overritten
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# Since I'm using the pptx skill, the files will be PowerPoint presentations
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print("Generated files:")
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for idx, file in enumerate(files):
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file_content = await client.anthropic_client.beta.files.download( # type: ignore
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file_id=file.file_id, betas=["files-api-2025-04-14"]
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)
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with open(Path(__file__).parent / f"python_programming-{idx}.pptx", "wb") as f:
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await file_content.write_to_file(f.name)
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print(f"File {idx}: python_programming-{idx}.pptx saved to disk.")
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if __name__ == "__main__":
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asyncio.run(main())
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