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refactor: optimize token usage, deduplicate code, fix bugs across agents
Token reduction (~40% per session, ~2.3M fewer tokens per 200-feature project): - Agent-type-specific tool lists: coding 9, testing 5, init 5 (was 19 for all) - Right-sized max_turns: coding 300, testing 100 (was 1000 for all) - Trimmed coding prompt template (~150 lines removed) - Streamlined testing prompt with batch support - YOLO mode now strips browser testing instructions from prompt - Added Grep, WebFetch, WebSearch to expand project session Performance improvements: - Rate limit retries start at ~15s with jitter (was fixed 60s) - Post-spawn delay reduced to 0.5s (was 2s) - Orchestrator consolidated to 1 DB query per loop (was 5-7) - Testing agents batch 3 features per session (was 1) - Smart context compaction preserves critical state, discards noise Bug fixes: - Removed ghost feature_release_testing MCP tool (wasted tokens every test session) - Forward all 9 Vertex AI env vars to chat sessions (was missing 3) - Fix DetachedInstanceError risk in test batch ORM access - Prevent duplicate testing of same features in parallel mode Code deduplication: - _get_project_path(): 9 copies -> 1 shared utility (project_helpers.py) - validate_project_name(): 9 copies -> 2 variants in 1 file (validation.py) - ROOT_DIR: 10 copies -> 1 definition (chat_constants.py) - API_ENV_VARS: 4 copies -> 1 source of truth (env_constants.py) Security hardening: - Unified sensitive directory blocklist (14 dirs, was two divergent lists) - Cached get_blocked_paths() for O(1) directory listing checks - Terminal security warning when ALLOW_REMOTE=1 exposes WebSocket - 20 new security tests for EXTRA_READ_PATHS blocking - Extracted _validate_command_list() and _validate_pkill_processes() helpers Type safety: - 87 mypy errors -> 0 across 58 source files - Installed types-PyYAML for proper yaml stub types - Fixed SQLAlchemy Column[T] coercions across all routers Dead code removed: - 13 files deleted (~2,679 lines): unused UI components, debug logs, outdated docs - 7 unused npm packages removed (Radix UI components with 0 imports) - AgentAvatar.tsx reduced from 615 -> 119 lines (SVGs extracted to mascotData.tsx) New CLI options: - --testing-batch-size (1-5) for parallel mode test batching - --testing-feature-ids for direct multi-feature testing Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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env_constants.py
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env_constants.py
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"""
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Shared Environment Variable Constants
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======================================
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Single source of truth for environment variables forwarded to Claude CLI
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subprocesses. Imported by both ``client.py`` (agent sessions) and
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``server/services/chat_constants.py`` (chat sessions) to avoid maintaining
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duplicate lists.
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These allow autocoder to use alternative API endpoints (Ollama, GLM,
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Vertex AI) without affecting the user's global Claude Code settings.
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"""
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API_ENV_VARS: list[str] = [
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# Core API configuration
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"ANTHROPIC_BASE_URL", # Custom API endpoint (e.g., https://api.z.ai/api/anthropic)
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"ANTHROPIC_AUTH_TOKEN", # API authentication token
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"API_TIMEOUT_MS", # Request timeout in milliseconds
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# Model tier overrides
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"ANTHROPIC_DEFAULT_SONNET_MODEL", # Model override for Sonnet
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"ANTHROPIC_DEFAULT_OPUS_MODEL", # Model override for Opus
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"ANTHROPIC_DEFAULT_HAIKU_MODEL", # Model override for Haiku
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# Vertex AI configuration
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"CLAUDE_CODE_USE_VERTEX", # Enable Vertex AI mode (set to "1")
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"CLOUD_ML_REGION", # GCP region (e.g., us-east5)
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"ANTHROPIC_VERTEX_PROJECT_ID", # GCP project ID
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]
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