from textwrap import dedent
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.reasoning import ReasoningTools
"""Test function to verify reasoning_content is populated in RunOutput."""
print("\n=== Testing reasoning_content generation ===\n")
# Create an agent with ReasoningTools
agent = Agent(
model=OpenAIChat(id="gpt-5-mini"),
tools=[ReasoningTools(add_instructions=True)],
instructions=dedent("""\
You are an expert problem-solving assistant with strong analytical skills! 🧠
Use step-by-step reasoning to solve the problem.
\
"""),
)
# Test 1: Non-streaming mode
print("Running with stream=False...")
response = agent.run("What is the sum of the first 10 natural numbers?", stream=False)
# Check reasoning_content
if hasattr(response, "reasoning_content") and response.reasoning_content:
print("✅ reasoning_content FOUND in non-streaming response")
print(f" Length: {len(response.reasoning_content)} characters")
print("\n=== reasoning_content preview (non-streaming) ===")
preview = response.reasoning_content[:1000]
if len(response.reasoning_content) > 1000:
preview += "..."
print(preview)
else:
print("❌ reasoning_content NOT FOUND in non-streaming response")
# Process streaming responses to find the final one
print("\n\n=== Test 2: Processing stream to find final response ===\n")
# Create another fresh agent
streaming_agent_alt = Agent(
model=OpenAIChat(id="gpt-5-mini"),
tools=[ReasoningTools(add_instructions=True)],
instructions=dedent("""\
You are an expert problem-solving assistant with strong analytical skills! 🧠
Use step-by-step reasoning to solve the problem.
\
"""),
)
# Process streaming responses and look for the final RunOutput
final_response = None
for event in streaming_agent_alt.run(
"What is the value of 3! (factorial)?",
stream=True,
stream_intermediate_steps=True,
):
# The final event in the stream should be a RunOutput object
if hasattr(event, "reasoning_content"):
final_response = event
print("--- Checking reasoning_content from final stream event ---")
if (
final_response
and hasattr(final_response, "reasoning_content")
and final_response.reasoning_content
):
print("✅ reasoning_content FOUND in final stream event")
print(f" Length: {len(final_response.reasoning_content)} characters")
print("\n=== reasoning_content preview (final stream event) ===")
preview = final_response.reasoning_content[:1000]
if len(final_response.reasoning_content) > 1000:
preview += "..."
print(preview)
else:
print("❌ reasoning_content NOT FOUND in final stream event")
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Set your API key
export OPENAI_API_KEY=xxx
export ANTHROPIC_API_KEY=xxx
Install libraries
pip install -U openai anthropic agno
Run Example
python cookbook/reasoning/tools/capture_reasoning_content_reasoning_tools.py