Files
autocoder/agent.py
Auto 85f6940a54 feat: add concurrent agents with dependency system and delightful UI
Major feature implementation for parallel agent execution with dependency-aware
scheduling and an engaging multi-agent UI experience.

Backend Changes:
- Add parallel_orchestrator.py for concurrent feature processing
- Add api/dependency_resolver.py with cycle detection (Kahn's algorithm + DFS)
- Add atomic feature_claim_next() with retry limit and exponential backoff
- Fix circular dependency check arguments in 4 locations
- Add AgentTracker class for parsing agent output and emitting updates
- Add browser isolation with --isolated flag for Playwright MCP
- Extend WebSocket protocol with agent_update messages and log attribution
- Add WSAgentUpdateMessage schema with agent states and mascot names
- Fix WSProgressMessage to include in_progress field

New UI Components:
- AgentMissionControl: Dashboard showing active agents with collapsible activity
- AgentCard: Individual agent status with avatar and thought bubble
- AgentAvatar: SVG mascots (Spark, Fizz, Octo, Hoot, Buzz) with animations
- ActivityFeed: Recent activity stream with stable keys (no flickering)
- CelebrationOverlay: Confetti animation with click/Escape dismiss
- DependencyGraph: Interactive node graph visualization with dagre layout
- DependencyBadge: Visual indicator for feature dependencies
- ViewToggle: Switch between Kanban and Graph views
- KeyboardShortcutsHelp: Help overlay accessible via ? key

UI/UX Improvements:
- Celebration queue system to handle rapid success messages
- Accessibility attributes on AgentAvatar (role, aria-label, aria-live)
- Collapsible Recent Activity section with persisted preference
- Agent count display in header
- Keyboard shortcut G to toggle Kanban/Graph view
- Real-time thought bubbles and state animations

Bug Fixes:
- Fix circular dependency validation (swapped source/target arguments)
- Add MAX_CLAIM_RETRIES=10 to prevent stack overflow under contention
- Fix THOUGHT_PATTERNS to match actual [Tool: name] format
- Fix ActivityFeed key prop to prevent re-renders on new items
- Add featureId/agentIndex to log messages for proper attribution

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-17 12:59:42 +02:00

297 lines
11 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_coding_prompt_yolo,
get_initializer_prompt,
get_single_feature_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,
) -> 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 and use YOLO prompt
feature_id: If set, work only on this specific feature (used by parallel orchestrator)
"""
print("\n" + "=" * 70)
print(" AUTONOMOUS CODING AGENT DEMO")
print("=" * 70)
print(f"\nProject directory: {project_dir}")
print(f"Model: {model}")
if yolo_mode:
print("Mode: YOLO (testing disabled)")
else:
print("Mode: Standard (full testing)")
if feature_id:
print(f"Single-feature mode: Feature #{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)
# Check if this is a fresh start or continuation
# Uses has_features() which checks if the database actually has features,
# not just if the file exists (empty db should still trigger initializer)
is_first_run = not has_features(project_dir)
if is_first_run:
print("Fresh start - will use initializer agent")
print()
print("=" * 70)
print(" NOTE: First session takes 10-20+ minutes!")
print(" The agent is generating 200 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)
else:
print("Continuing existing project")
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_first_run)
# Create client (fresh context)
# In single-feature mode, pass agent_id for browser isolation
agent_id = f"feature-{feature_id}" if feature_id else None
client = create_client(project_dir, model, yolo_mode=yolo_mode, agent_id=agent_id)
# Choose prompt based on session type
# Pass project_dir to enable project-specific prompts
if is_first_run:
prompt = get_initializer_prompt(project_dir)
is_first_run = False # Only use initializer once
elif feature_id:
# Single-feature mode (used by parallel orchestrator)
prompt = get_single_feature_prompt(feature_id, project_dir, yolo_mode)
else:
# Use YOLO prompt if in YOLO mode
if yolo_mode:
prompt = get_coding_prompt_yolo(project_dir)
else:
prompt = get_coding_prompt(project_dir)
# Run session with async context manager
async with client:
status, response = await run_agent_session(client, prompt, project_dir)
# 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!")