agent/agent-framework
1
0
Fork 0
mirror of https://github.com/microsoft/agent-framework.git synced 2026-06-16 21:04:09 +08:00
Code Issues Packages Projects Releases Wiki Activity

Python: [BREAKING] parameter naming and other fixes (#1255)

Browse Source 
* parameter naming and other fixes

* fix test

* fix azure openai responses decorator ordering

* fix test

* fix mypy

* fixes in options handling

* fix tests

* final fixes

* exclude macos tests

* fix model param
This commit is contained in:
Eduard van Valkenburg
2025-10-07 23:18:48 +02:00
committed by GitHub
Unverified
parent 1a81ed202e
commit 76900f0eab
22 changed files with 327 additions and 378 deletions
Download Patch File Download Diff File Expand all files Collapse all files
python/samples/getting_started/agents/openai/openai_responses_client_reasoning.py
+42 -16
View File
@@ -2,41 +2,66 @@
import asyncio
from agent_framework import HostedCodeInterpreterTool, TextContent, TextReasoningContent, UsageContent
from agent_framework.openai import OpenAIResponsesClient
"""
OpenAI Responses Client Reasoning Example
This sample demonstrates advanced reasoning capabilities using OpenAI's o1 models,
This sample demonstrates advanced reasoning capabilities using OpenAI's gpt-5 models,
showing step-by-step reasoning process visualization and complex problem-solving.
This uses the additional_chat_options parameter to enable reasoning with high effort and detailed summaries.
You can also set these options at the run level, since they are api and/or provider specific, you will need to lookup
the correct values for your provider, since these are passed through as-is.
In this case they are here: https://platform.openai.com/docs/api-reference/responses/create#responses-create-reasoning
"""
agent = OpenAIResponsesClient(model_id="gpt-5").create_agent(
name="MathHelper",
instructions="You are a personal math tutor. When asked a math question, "
"reason over how best to approach the problem and share your thought process.",
additional_chat_options={"reasoning": {"effort": "high", "summary": "detailed"}},
)
async def reasoning_example() -> None:
"""Example of reasoning response (get results as they are generated)."""
print("=== Reasoning Example ===")
print("\033[92m=== Reasoning Example ===\033[0m")
agent = OpenAIResponsesClient(model_id="gpt-5").create_agent(
name="MathHelper",
instructions="You are a personal math tutor. When asked a math question, "
"write and run code using the python tool to answer the question.",
tools=HostedCodeInterpreterTool(),
reasoning={"effort": "high", "summary": "detailed"},
)
query = "I need to solve the equation 3x + 11 = 14 and I need to prove the pythagorean theorem. Can you help me?"
print(f"User: {query}")
print(f"{agent.name}: ", end="", flush=True)
response = await agent.run(query)
for msg in response.messages:
if msg.contents:
for content in msg.contents:
if content.type == "text_reasoning":
print(f"\033[94m{content.text}\033[0m", end="", flush=True)
elif content.type == "text":
print(content.text, end="", flush=True)
print("\n")
if response.usage_details:
print(f"Usage: {response.usage_details}")
query = "I need to solve the equation 3x + 11 = 14. Can you help me?"
async def streaming_reasoning_example() -> None:
"""Example of reasoning response (get results as they are generated)."""
print("\033[92m=== Streaming Reasoning Example ===\033[0m")
query = "I need to solve the equation 3x + 11 = 14 and I need to prove the pythagorean theorem. Can you help me?"
print(f"User: {query}")
print(f"{agent.name}: ", end="", flush=True)
usage = None
async for chunk in agent.run_stream(query):
if chunk.contents:
for content in chunk.contents:
if isinstance(content, TextReasoningContent):
print(f"\033[97m{content.text}\033[0m", end="", flush=True)
elif isinstance(content, TextContent):
if content.type == "text_reasoning":
print(f"\033[94m{content.text}\033[0m", end="", flush=True)
elif content.type == "text":
print(content.text, end="", flush=True)
elif isinstance(content, UsageContent):
elif content.type == "usage":
usage = content
print("\n")
if usage:
@@ -44,9 +69,10 @@ async def reasoning_example() -> None:
async def main() -> None:
print("=== Basic OpenAI Responses Reasoning Agent Example ===")
print("\033[92m=== Basic OpenAI Responses Reasoning Agent Example ===\033[0m")
await reasoning_example()
await streaming_reasoning_example()
if __name__ == "__main__":