Files
linear-coding-agent/autonomous_agent_demo.py
David Blanc Brioir d2f7165120 Add Library RAG project and cleanup root directory
- Add complete Library RAG application (Flask + MCP server)
  - PDF processing pipeline with OCR and LLM extraction
  - Weaviate vector database integration (BGE-M3 embeddings)
  - Flask web interface with search and document management
  - MCP server for Claude Desktop integration
  - Comprehensive test suite (134 tests)

- Clean up root directory
  - Remove obsolete documentation files
  - Remove backup and temporary files
  - Update autonomous agent configuration

- Update prompts
  - Enhance initializer bis prompt with better instructions

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

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-30 11:57:12 +01:00

158 lines
5.1 KiB
Python

#!/usr/bin/env python3
"""
Autonomous Coding Agent Demo
============================
A minimal harness demonstrating long-running autonomous coding with Claude.
This script implements the two-agent pattern (initializer + coding agent) and
incorporates all the strategies from the long-running agents guide.
Example Usage:
python autonomous_agent_demo.py --project-dir ./claude_clone_demo
python autonomous_agent_demo.py --project-dir ./claude_clone_demo --max-iterations 5
"""
import argparse
import asyncio
import os
import sys
from pathlib import Path
# Fix Windows encoding issues with emojis and Unicode characters
if sys.platform == 'win32':
import io
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')
from dotenv import load_dotenv
from agent import run_autonomous_agent
# Load environment variables from .env file
load_dotenv()
# Configuration
# Using Claude Opus 4.5 as default for best coding and agentic performance
# See: https://www.anthropic.com/news/claude-opus-4-5
DEFAULT_MODEL = "claude-opus-4-5-20251101"
def parse_args() -> argparse.Namespace:
"""Parse command line arguments."""
parser = argparse.ArgumentParser(
description="Autonomous Coding Agent Demo - Long-running agent harness",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
# Start fresh project
python autonomous_agent_demo.py --project-dir ./claude_clone
# Use a specific model
python autonomous_agent_demo.py --project-dir ./claude_clone --model claude-sonnet-4-5-20250929
# Limit iterations for testing
python autonomous_agent_demo.py --project-dir ./claude_clone --max-iterations 5
# Continue existing project
python autonomous_agent_demo.py --project-dir ./claude_clone
# Add new specifications to existing project
python autonomous_agent_demo.py --project-dir ./claude_clone --new-spec app_spec_new1.txt
Configuration (.env file):
CLAUDE_CODE_OAUTH_TOKEN Claude Code OAuth token (required)
LINEAR_API_KEY Linear API key (required)
LINEAR_TEAM_ID Linear Team ID (optional)
""",
)
parser.add_argument(
"--project-dir",
type=Path,
default=Path("./autonomous_demo_project"),
help="Directory for the project (default: generations/autonomous_demo_project). Relative paths automatically placed in generations/ directory.",
)
parser.add_argument(
"--max-iterations",
type=int,
default=None,
help="Maximum number of agent iterations (default: unlimited)",
)
parser.add_argument(
"--model",
type=str,
default=DEFAULT_MODEL,
help=f"Claude model to use (default: {DEFAULT_MODEL})",
)
parser.add_argument(
"--new-spec",
type=str,
default=None,
help="Name of new specification file to add (e.g., 'app_spec_new1.txt'). Use this to add new features to an existing project.",
)
return parser.parse_args()
def main() -> None:
"""Main entry point."""
args = parse_args()
# Check for Claude Code OAuth token
if not os.environ.get("CLAUDE_CODE_OAUTH_TOKEN"):
print("Error: CLAUDE_CODE_OAUTH_TOKEN not found in .env file")
print("\n1. Run 'claude setup-token' after installing the Claude Code CLI")
print("2. Copy .env.example to .env")
print("3. Add your token to .env: CLAUDE_CODE_OAUTH_TOKEN='your-token-here'")
return
# Check for Linear API key
if not os.environ.get("LINEAR_API_KEY"):
print("Error: LINEAR_API_KEY not found in .env file")
print("\n1. Get your API key from: https://linear.app/YOUR-TEAM/settings/api")
print("2. Add it to .env: LINEAR_API_KEY='lin_api_xxxxxxxxxxxxx'")
return
# Automatically place projects in generations/ directory unless already specified
project_dir = args.project_dir
# Normalize path to handle ./generations/, .\generations\, etc.
normalized_parts = Path(project_dir).parts
has_generations = "generations" in normalized_parts
if not has_generations:
# Convert relative paths to be under generations/
if project_dir.is_absolute():
# If absolute path, use as-is
pass
else:
# Prepend generations/ to relative paths
project_dir = Path("generations") / project_dir
else:
# "generations" already in path, normalize and use as-is
project_dir = Path(*[p for p in normalized_parts if p != "."])
# Run the agent
try:
asyncio.run(
run_autonomous_agent(
project_dir=project_dir,
model=args.model,
max_iterations=args.max_iterations,
new_spec_filename=args.new_spec,
)
)
except KeyboardInterrupt:
print("\n\nInterrupted by user")
print("To resume, run the same command again")
except Exception as e:
print(f"\nFatal error: {e}")
raise
if __name__ == "__main__":
main()