OpenClaw AI Tutorials

import openclaw

# Create a research agent with web search capability
agent = openclaw.Agent(
    provider="openai",
    model="gpt-4o-mini",
    tools=["web_search", "fetch_url"],
    max_iterations=15,
    system_prompt="""
        You are a research assistant. When given a topic:
        1. Search for the 3 most recent and relevant sources.
        2. Read each source using fetch_url.
        3. Write a 500-word summary with key findings.
        4. List all sources with URLs.
        Format: Markdown with H2 sections.
    """
)

# Run the agent
result = agent.run("What are the latest developments in AI regulation in the EU?")
print(result.output)

# Save the report
with open("eu-ai-regulation-report.md", "w") as f:
    f.write(result.output)

print(f"Done in {result.elapsed_seconds:.1f}s using {result.tokens_used['total']} tokens")

from flask import Flask, request
import openclaw, hmac, hashlib, os

app = Flask(__name__)
client = openclaw.Client()

@app.post("/webhook/github")
def github_pr_webhook():
    # Verify GitHub HMAC signature
    sig = request.headers.get("X-Hub-Signature-256", "")
    secret = os.environ["GITHUB_WEBHOOK_SECRET"].encode()
    expected = "sha256=" + hmac.new(secret, request.data, hashlib.sha256).hexdigest()
    if not hmac.compare_digest(expected, sig):
        return "Forbidden", 403

    event = request.json
    if event.get("action") not in ("opened", "synchronize"):
        return "OK", 200

    pr = event["pull_request"]
    diff_url = pr["diff_url"]
    pr_number = pr["number"]

    # Trigger OpenClaw code review agent
    run = client.agents.run(
        "agnt_code_reviewer",
        input=f"Review the pull request diff at {diff_url}. "
              f"List bugs, security issues, and style improvements.",
    )
    result = run.wait()

    # Post review comment back to GitHub
    post_pr_comment(pr["html_url"], pr_number, result.output)
    return "OK", 200