Files
autocoder/agent.py
Auto 13128361b0 feat: add dedicated testing agents and enhanced parallel orchestration
Introduce a new testing agent architecture that runs regression tests
independently from coding agents, improving quality assurance in
parallel mode.

Key changes:

Testing Agent System:
- Add testing_prompt.template.md for dedicated testing agent role
- Add feature_mark_failing MCP tool for regression detection
- Add --agent-type flag to select initializer/coding/testing mode
- Remove regression testing from coding prompt (now handled by testing agents)

Parallel Orchestrator Enhancements:
- Add testing agent spawning with configurable ratio (--testing-agent-ratio)
- Add comprehensive debug logging system (DebugLog class)
- Improve database session management to prevent stale reads
- Add engine.dispose() calls to refresh connections after subprocess commits
- Fix f-string linting issues (remove unnecessary f-prefixes)

UI Improvements:
- Add testing agent mascot (Chip) to AgentAvatar
- Enhance AgentCard to display testing agent status
- Add testing agent ratio slider in SettingsModal
- Update WebSocket handling for testing agent updates
- Improve ActivityFeed to show testing agent activity

API & Server Updates:
- Add testing_agent_ratio to settings schema and endpoints
- Update process manager to support testing agent type
- Enhance WebSocket messages for agent_update events

Template Changes:
- Delete coding_prompt_yolo.template.md (consolidated into main prompt)
- Update initializer_prompt.template.md with improved structure
- Streamline coding_prompt.template.md workflow

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-18 13:49:50 +02:00

318 lines
12 KiB
Python

"""
Agent Session Logic
===================
Core agent interaction functions for running autonomous coding sessions.
"""
import asyncio
import io
import re
import sys
from datetime import datetime, timedelta
from pathlib import Path
from typing import Optional
from zoneinfo import ZoneInfo
from claude_agent_sdk import ClaudeSDKClient
# Fix Windows console encoding for Unicode characters (emoji, etc.)
# Without this, print() crashes when Claude outputs emoji like ✅
if sys.platform == "win32":
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", errors="replace", line_buffering=True)
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding="utf-8", errors="replace", line_buffering=True)
from client import create_client
from progress import has_features, print_progress_summary, print_session_header
from prompts import (
copy_spec_to_project,
get_coding_prompt,
get_initializer_prompt,
get_single_feature_prompt,
get_testing_prompt,
)
# Configuration
AUTO_CONTINUE_DELAY_SECONDS = 3
async def run_agent_session(
client: ClaudeSDKClient,
message: str,
project_dir: Path,
) -> tuple[str, str]:
"""
Run a single agent session using Claude Agent SDK.
Args:
client: Claude SDK client
message: The prompt to send
project_dir: Project directory path
Returns:
(status, response_text) where status is:
- "continue" if agent should continue working
- "error" if an error occurred
"""
print("Sending prompt to Claude Agent SDK...\n")
try:
# Send the query
await client.query(message)
# Collect response text and show tool use
response_text = ""
async for msg in client.receive_response():
msg_type = type(msg).__name__
# Handle AssistantMessage (text and tool use)
if msg_type == "AssistantMessage" and hasattr(msg, "content"):
for block in msg.content:
block_type = type(block).__name__
if block_type == "TextBlock" and hasattr(block, "text"):
response_text += block.text
print(block.text, end="", flush=True)
elif block_type == "ToolUseBlock" and hasattr(block, "name"):
print(f"\n[Tool: {block.name}]", flush=True)
if hasattr(block, "input"):
input_str = str(block.input)
if len(input_str) > 200:
print(f" Input: {input_str[:200]}...", flush=True)
else:
print(f" Input: {input_str}", flush=True)
# Handle UserMessage (tool results)
elif msg_type == "UserMessage" and hasattr(msg, "content"):
for block in msg.content:
block_type = type(block).__name__
if block_type == "ToolResultBlock":
result_content = getattr(block, "content", "")
is_error = getattr(block, "is_error", False)
# Check if command was blocked by security hook
if "blocked" in str(result_content).lower():
print(f" [BLOCKED] {result_content}", flush=True)
elif is_error:
# Show errors (truncated)
error_str = str(result_content)[:500]
print(f" [Error] {error_str}", flush=True)
else:
# Tool succeeded - just show brief confirmation
print(" [Done]", flush=True)
print("\n" + "-" * 70 + "\n")
return "continue", response_text
except Exception as e:
print(f"Error during agent session: {e}")
return "error", str(e)
async def run_autonomous_agent(
project_dir: Path,
model: str,
max_iterations: Optional[int] = None,
yolo_mode: bool = False,
feature_id: Optional[int] = None,
agent_type: Optional[str] = None,
) -> None:
"""
Run the autonomous agent loop.
Args:
project_dir: Directory for the project
model: Claude model to use
max_iterations: Maximum number of iterations (None for unlimited)
yolo_mode: If True, skip browser testing in coding agent prompts
feature_id: If set, work only on this specific feature (used by orchestrator for coding agents)
agent_type: Type of agent: "initializer", "coding", "testing", or None (auto-detect)
"""
print("\n" + "=" * 70)
print(" AUTONOMOUS CODING AGENT")
print("=" * 70)
print(f"\nProject directory: {project_dir}")
print(f"Model: {model}")
if agent_type:
print(f"Agent type: {agent_type}")
if yolo_mode:
print("Mode: YOLO (testing agents disabled)")
if feature_id:
print(f"Feature assignment: #{feature_id}")
if max_iterations:
print(f"Max iterations: {max_iterations}")
else:
print("Max iterations: Unlimited (will run until completion)")
print()
# Create project directory
project_dir.mkdir(parents=True, exist_ok=True)
# Determine agent type if not explicitly set
if agent_type is None:
# Auto-detect based on whether we have features
# (This path is for legacy compatibility - orchestrator should always set agent_type)
is_first_run = not has_features(project_dir)
if is_first_run:
agent_type = "initializer"
else:
agent_type = "coding"
is_initializer = agent_type == "initializer"
if is_initializer:
print("Running as INITIALIZER agent")
print()
print("=" * 70)
print(" NOTE: Initialization takes 10-20+ minutes!")
print(" The agent is generating detailed test cases.")
print(" This may appear to hang - it's working. Watch for [Tool: ...] output.")
print("=" * 70)
print()
# Copy the app spec into the project directory for the agent to read
copy_spec_to_project(project_dir)
elif agent_type == "testing":
print("Running as TESTING agent (regression testing)")
print_progress_summary(project_dir)
else:
print("Running as CODING agent")
print_progress_summary(project_dir)
# Main loop
iteration = 0
while True:
iteration += 1
# Check max iterations
if max_iterations and iteration > max_iterations:
print(f"\nReached max iterations ({max_iterations})")
print("To continue, run the script again without --max-iterations")
break
# Print session header
print_session_header(iteration, is_initializer)
# Create client (fresh context)
# Pass agent_id for browser isolation in multi-agent scenarios
import os
if agent_type == "testing":
agent_id = f"testing-{os.getpid()}" # Unique ID for testing agents
elif feature_id:
agent_id = f"feature-{feature_id}"
else:
agent_id = None
client = create_client(project_dir, model, yolo_mode=yolo_mode, agent_id=agent_id)
# Choose prompt based on agent type
if agent_type == "initializer":
prompt = get_initializer_prompt(project_dir)
elif agent_type == "testing":
prompt = get_testing_prompt(project_dir)
elif feature_id:
# Single-feature mode (used by orchestrator for coding agents)
prompt = get_single_feature_prompt(feature_id, project_dir, yolo_mode)
else:
# General coding prompt (legacy path)
prompt = get_coding_prompt(project_dir)
# Run session with async context manager
# Wrap in try/except to handle MCP server startup failures gracefully
try:
async with client:
status, response = await run_agent_session(client, prompt, project_dir)
except Exception as e:
print(f"Client/MCP server error: {e}")
# Don't crash - return error status so the loop can retry
status, response = "error", str(e)
# Handle status
if status == "continue":
delay_seconds = AUTO_CONTINUE_DELAY_SECONDS
target_time_str = None
if "limit reached" in response.lower():
print("Claude Agent SDK indicated limit reached.")
# Try to parse reset time from response
match = re.search(
r"(?i)\bresets(?:\s+at)?\s+(\d+)(?::(\d+))?\s*(am|pm)\s*\(([^)]+)\)",
response,
)
if match:
hour = int(match.group(1))
minute = int(match.group(2)) if match.group(2) else 0
period = match.group(3).lower()
tz_name = match.group(4).strip()
# Convert to 24-hour format
if period == "pm" and hour != 12:
hour += 12
elif period == "am" and hour == 12:
hour = 0
try:
tz = ZoneInfo(tz_name)
now = datetime.now(tz)
target = now.replace(
hour=hour, minute=minute, second=0, microsecond=0
)
# If target time has already passed today, wait until tomorrow
if target <= now:
target += timedelta(days=1)
delta = target - now
delay_seconds = min(
delta.total_seconds(), 24 * 60 * 60
) # Clamp to 24 hours max
target_time_str = target.strftime("%B %d, %Y at %I:%M %p %Z")
except Exception as e:
print(f"Error parsing reset time: {e}, using default delay")
if target_time_str:
print(
f"\nClaude Code Limit Reached. Agent will auto-continue in {delay_seconds:.0f}s ({target_time_str})...",
flush=True,
)
else:
print(
f"\nAgent will auto-continue in {delay_seconds:.0f}s...", flush=True
)
sys.stdout.flush() # this should allow the pause to be displayed before sleeping
print_progress_summary(project_dir)
await asyncio.sleep(delay_seconds)
elif status == "error":
print("\nSession encountered an error")
print("Will retry with a fresh session...")
await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)
# Small delay between sessions
if max_iterations is None or iteration < max_iterations:
print("\nPreparing next session...\n")
await asyncio.sleep(1)
# Final summary
print("\n" + "=" * 70)
print(" SESSION COMPLETE")
print("=" * 70)
print(f"\nProject directory: {project_dir}")
print_progress_summary(project_dir)
# Print instructions for running the generated application
print("\n" + "-" * 70)
print(" TO RUN THE GENERATED APPLICATION:")
print("-" * 70)
print(f"\n cd {project_dir.resolve()}")
print(" ./init.sh # Run the setup script")
print(" # Or manually:")
print(" npm install && npm run dev")
print("\n Then open http://localhost:3000 (or check init.sh for the URL)")
print("-" * 70)
print("\nDone!")