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https://github.com/microsoft/agent-framework.git
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Python: [BREAKING]: Introducing Options as TypedDict and Generic (#3140)
* WIP typeddict for options * updated all clients and ChatAgents * updated everything * added ADR * fix mypy * proper typevar imports * fixed import * fixed other imports * slight update in the sample * updated from feedback * fixes * fixed missing covariants and test fixes * fixed typing * updated anthropic thinking config * ruff fixes * fixed int tests * fix tests and mypy * updated integration tests * updated docstring and test fix * improved options handling in obser * mypy fix * updated a host of integration tests * fix tests * bedrock fix
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@@ -3,7 +3,7 @@
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import asyncio
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from agent_framework import HostedMCPTool, HostedWebSearchTool, TextReasoningContent, UsageContent
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from agent_framework.anthropic import AnthropicClient
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from agent_framework.anthropic import AnthropicChatOptions, AnthropicClient
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"""
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Anthropic Chat Agent Example
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@@ -15,9 +15,9 @@ This sample demonstrates using Anthropic with:
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"""
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async def streaming_example() -> None:
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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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agent = AnthropicClient().create_agent(
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agent = AnthropicClient[AnthropicChatOptions]().create_agent(
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name="DocsAgent",
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instructions="You are a helpful agent for both Microsoft docs questions and general questions.",
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tools=[
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@@ -27,10 +27,12 @@ async def streaming_example() -> None:
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),
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HostedWebSearchTool(),
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],
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# anthropic needs a value for the max_tokens parameter
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# we set it to 1024, but you can override like this:
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max_tokens=20000,
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additional_chat_options={"thinking": {"type": "enabled", "budget_tokens": 10000}},
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default_options={
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# anthropic needs a value for the max_tokens parameter
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# we set it to 1024, but you can override like this:
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"max_tokens": 20000,
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"thinking": {"type": "enabled", "budget_tokens": 10000},
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},
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)
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query = "Can you compare Python decorators with C# attributes?"
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@@ -48,11 +50,5 @@ async def streaming_example() -> None:
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print("\n")
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async def main() -> None:
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print("=== Anthropic Example ===")
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await streaming_example()
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if __name__ == "__main__":
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asyncio.run(main())
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@@ -38,10 +38,12 @@ async def main() -> None:
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),
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HostedWebSearchTool(),
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],
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# anthropic needs a value for the max_tokens parameter
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# we set it to 1024, but you can override like this:
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max_tokens=20000,
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additional_chat_options={"thinking": {"type": "enabled", "budget_tokens": 10000}},
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default_options={
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# anthropic needs a value for the max_tokens parameter
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# we set it to 1024, but you can override like this:
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"max_tokens": 20000,
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"thinking": {"type": "enabled", "budget_tokens": 10000},
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},
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)
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query = "Can you compare Python decorators with C# attributes?"
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@@ -5,7 +5,7 @@ import logging
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from pathlib import Path
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from agent_framework import HostedCodeInterpreterTool, HostedFileContent
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from agent_framework.anthropic import AnthropicClient
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from agent_framework.anthropic import AnthropicChatOptions, AnthropicClient
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logger = logging.getLogger(__name__)
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"""
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@@ -22,7 +22,7 @@ This sample demonstrates using Anthropic with:
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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(additional_beta_flags=["skills-2025-10-02"])
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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"])
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@@ -35,8 +35,8 @@ async def main() -> None:
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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=HostedCodeInterpreterTool(),
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max_tokens=20000,
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additional_chat_options={
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default_options={
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"max_tokens": 20000,
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"thinking": {"type": "enabled", "budget_tokens": 10000},
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"container": {"skills": [{"type": "anthropic", "skill_id": "pptx", "version": "latest"}]},
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},
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