Files
beads/examples/python-agent/agent.py
Steve Yegge 83ae110508 refactor: Remove legacy MCP Agent Mail integration (bd-6gd)
Remove the external MCP Agent Mail server integration that required
running a separate HTTP server and configuring environment variables.

The native `bd mail` system (stored as git-synced issues) remains
unchanged and is the recommended approach for inter-agent messaging.

Files removed:
- cmd/bd/message.go - Legacy `bd message` command
- integrations/beads-mcp/src/beads_mcp/mail.py, mail_tools.py
- lib/beads_mail_adapter.py - Python adapter library
- examples/go-agent/ - Agent Mail-focused example
- examples/python-agent/agent_with_mail.py, AGENT_MAIL_EXAMPLE.md
- docs/AGENT_MAIL*.md, docs/adr/002-agent-mail-integration.md
- tests/integration/test_agent_race.py, test_mail_failures.py, etc.
- tests/benchmarks/ - Agent Mail benchmarks

Updated documentation to remove Agent Mail references while keeping
native `bd mail` documentation intact.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17 23:14:23 -08:00

151 lines
4.7 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Simple AI agent workflow using bd (Beads issue tracker).
This demonstrates how an agent can:
1. Find ready work
2. Claim and execute tasks
3. Discover new issues during work
4. Link discoveries back to parent tasks
5. Complete work and move on
"""
import json
import subprocess
import sys
from typing import Optional
class BeadsAgent:
"""Simple agent that manages tasks using bd."""
def __init__(self):
self.current_task = None
def run_bd(self, *args) -> dict:
"""Run bd command and parse JSON output."""
cmd = ["bd"] + list(args) + ["--json"]
result = subprocess.run(cmd, capture_output=True, text=True, check=True)
if result.stdout.strip():
return json.loads(result.stdout)
return {}
def find_ready_work(self) -> Optional[dict]:
"""Find the highest priority ready work."""
ready = self.run_bd("ready", "--limit", "1")
if isinstance(ready, list) and len(ready) > 0:
return ready[0]
return None
def claim_task(self, issue_id: str) -> dict:
"""Claim a task by setting status to in_progress."""
print(f"📋 Claiming task: {issue_id}")
result = self.run_bd("update", issue_id, "--status", "in_progress")
return result
def create_issue(self, title: str, description: str = "",
priority: int = 2, issue_type: str = "task") -> dict:
"""Create a new issue."""
print(f"✨ Creating issue: {title}")
args = ["create", title, "-p", str(priority), "-t", issue_type]
if description:
args.extend(["-d", description])
return self.run_bd(*args)
def link_discovery(self, discovered_id: str, parent_id: str):
"""Link a discovered issue back to its parent."""
print(f"🔗 Linking {discovered_id} ← discovered-from ← {parent_id}")
subprocess.run(
["bd", "dep", "add", discovered_id, parent_id, "--type", "discovered-from"],
check=True
)
def complete_task(self, issue_id: str, reason: str = "Completed"):
"""Mark task as complete."""
print(f"✅ Completing task: {issue_id} - {reason}")
result = self.run_bd("close", issue_id, "--reason", reason)
return result
def simulate_work(self, issue: dict) -> bool:
"""Simulate doing work on an issue.
In a real agent, this would call an LLM, execute code, etc.
Returns True if work discovered new issues.
"""
issue_id = issue["id"]
title = issue["title"]
print(f"\n🤖 Working on: {title} ({issue_id})")
print(f" Priority: {issue['priority']}, Type: {issue['issue_type']}")
# Simulate discovering a bug while working
if "implement" in title.lower() or "add" in title.lower():
print("\n💡 Discovered: Missing test coverage for this feature")
new_issue = self.create_issue(
f"Add tests for {title}",
description=f"While implementing {issue_id}, noticed missing tests",
priority=1,
issue_type="task"
)
self.link_discovery(new_issue["id"], issue_id)
return True
return False
def run_once(self) -> bool:
"""Execute one work cycle. Returns True if work was found."""
# Find ready work
issue = self.find_ready_work()
if not issue:
print("📭 No ready work found.")
return False
# Claim the task
self.claim_task(issue["id"])
# Do the work (simulated)
discovered_new_work = self.simulate_work(issue)
# Complete the task
self.complete_task(issue["id"], "Implemented successfully")
if discovered_new_work:
print("\n🔄 New work discovered and linked. Running another cycle...")
return True
def run(self, max_iterations: int = 10):
"""Run the agent for multiple iterations."""
print("🚀 Beads Agent starting...\n")
for i in range(max_iterations):
print(f"\n{'='*60}")
print(f"Iteration {i+1}/{max_iterations}")
print(f"{'='*60}")
if not self.run_once():
break
print("\n✨ Agent finished!")
def main():
"""Main entry point."""
try:
agent = BeadsAgent()
agent.run()
except subprocess.CalledProcessError as e:
print(f"Error running bd: {e}", file=sys.stderr)
print(f"Make sure bd is installed: go install github.com/steveyegge/beads/cmd/bd@latest")
sys.exit(1)
except KeyboardInterrupt:
print("\n\n👋 Agent interrupted by user")
sys.exit(0)
if __name__ == "__main__":
main()