Microsoft Agent Framework technology due diligence

Discover and verify current technology claims.

What you’ll build

A Microsoft Agent Framework analyst that discovers current warehouse-robotics developments, verifies material company claims, labels uncertainty, and turns the evidence into a technology due-diligence memo.

Default brief: Find five recent developments, verify the strongest company claims, separate verified facts from vendor claims and analyst inference, and finish with adoption risks.

How the agent works

  1. Discover developments. News search gathers a focused set of recent warehouse-robotics signals.
  2. Verify material claims. Web search checks durable sources behind the most consequential company statements.
  3. Label the evidence. The agent separates facts, vendor claims, and inference before evaluating adoption risk.

Core agent setup

This excerpt keeps Microsoft Agent Framework’s client, instructions, and tools together. The full script also validates credentials and writes the resulting due-diligence memo.

agent = Agent(
    client=OpenAIChatClient(model=MODEL, api_key=api_key),
    name="technology_due_diligence_agent",
    instructions=(
        "Use live SerpApi tools, cross-check material claims, "
        "label uncertainty, and include direct source URLs."
    ),
    tools=[
        news_search(provider="microsoft-agent-framework"),
        web_search(
            provider="microsoft-agent-framework",
            allowed_engines=["google_light", "bing"],
        ),
    ],
)
report = str(await agent.run(PROMPT))

View the complete main.py →

Run the recipe

Set SERPAPI_API_KEY and OPENAI_API_KEY in the repository-root .env, then run:

uv run --isolated --no-project --with 'serpapi-search-tools[microsoft-agent-framework]' --with python-dotenv \
  cookbook/microsoft-agent-framework/main.py

Optional controls: OPENAI_MODEL, COOKBOOK_PROMPT, and COOKBOOK_OUTPUT_DIR.

One agent, two evidence passes: The framework controls tool use, while the instructions make discovery and verification separate responsibilities.

Inspect the result

The recipe writes cookbook-output/microsoft-agent-framework-due-diligence.md. Expect five current developments, cross-checked claims, explicit evidence labels, adoption risks, and direct source URLs.

Use COOKBOOK_PROMPT to apply the same diligence pattern to another technology or market.

SerpApi tools used

news_search discovers recent warehouse-robotics developments, and web_search checks durable sources behind the strongest company claims. This sequence helps the agent label verified facts, vendor statements, and analyst inference separately.

Framework pattern: The agent tool loop follows Microsoft Agent Framework’s Python tool-use example and uses SerpApi news and web tools.