Files
autocoder/server/services/chat_constants.py
Auto 94e0b05cb1 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- 13 files deleted (~2,679 lines): unused UI components, debug logs, outdated docs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>
2026-02-01 13:16:24 +02:00

58 lines
2.2 KiB
Python

"""
Chat Session Constants
======================
Shared constants for all chat session types (assistant, spec, expand).
The canonical ``API_ENV_VARS`` list lives in ``env_constants.py`` at the
project root and is re-exported here for convenience so that existing
imports (``from .chat_constants import API_ENV_VARS``) continue to work.
"""
import sys
from pathlib import Path
from typing import AsyncGenerator
# -------------------------------------------------------------------
# Root directory of the autocoder project (repository root).
# Used throughout the server package whenever the repo root is needed.
# -------------------------------------------------------------------
ROOT_DIR = Path(__file__).parent.parent.parent
# Ensure the project root is on sys.path so we can import env_constants
# from the root-level module without requiring a package install.
_root_str = str(ROOT_DIR)
if _root_str not in sys.path:
sys.path.insert(0, _root_str)
# -------------------------------------------------------------------
# Environment variables forwarded to Claude CLI subprocesses.
# Single source of truth lives in env_constants.py at the project root.
# Re-exported here so existing ``from .chat_constants import API_ENV_VARS``
# imports continue to work unchanged.
# -------------------------------------------------------------------
from env_constants import API_ENV_VARS # noqa: E402, F401
async def make_multimodal_message(content_blocks: list[dict]) -> AsyncGenerator[dict, None]:
"""Yield a single multimodal user message in Claude Agent SDK format.
The Claude Agent SDK's ``query()`` method accepts either a plain string
or an ``AsyncIterable[dict]`` for custom message formats. This helper
wraps a list of content blocks (text and/or images) in the expected
envelope.
Args:
content_blocks: List of content-block dicts, e.g.
``[{"type": "text", "text": "..."}, {"type": "image", ...}]``.
Yields:
A single dict representing the user message.
"""
yield {
"type": "user",
"message": {"role": "user", "content": content_blocks},
"parent_tool_use_id": None,
"session_id": "default",
}