- docker-compose.yaml: production mode uses expose (container-only) for
Redis/PostgreSQL instead of ports (host-mapped)
- docker-compose.dev.yml: dev override maps Redis 6381 and PostgreSQL 5435
to avoid conflicts with other projects (pms-redis 6379, geo_redis 6380,
geo_db 5433)
- config.py: fix empty env var handling — only skip .env override when
os.environ[key] is non-empty; load .env, .env.dev, .env.local in sequence
- scripts/dev-start.sh: manage agentkit-specific Docker containers
- .gitignore: add .env.dev and .env.local (contain API keys)
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Code review fixes for Wave 1:
- W1: ServerConfig.from_dict now wires prompt_cache/streaming/verification sections
from YAML to constructor (previously these params existed but were never read)
- W3: Tool._validate_input filters _-prefixed kwargs (e.g. _skip_dangerous_check)
before jsonschema.validate, preventing additionalProperties:false schemas from
rejecting internal control parameters
- N3: ReActResult.status docstring now lists "empty_fallback" and "verify_failed"
Added test test_internal_kwargs_underscore_prefixed_skipped_by_validation for W3.
- Settings API: reverse-resolve env vars to preserve ${VAR} refs in yaml,
write new API keys to .env instead of agentkit.yaml, extract env_key
from existing ${VAR} reference when updating providers
- Onboarding: merge-update instead of overwrite when config exists,
use config_arg to determine output path, .env merge instead of overwrite
- Unified templates: bailian-coding provider name, full model_aliases,
docker-compose with postgres, expanded .env.example
- Optional ruamel.yaml for comment/format preservation in Settings API
- clients.yaml: add _deep_resolve for ${VAR} env var references
- All CLI commands use load_config_with_dotenv() consistently
- Tests: mock find_config_path and CWD auto-discovery to avoid env leaks
- Add HeuristicClassifier to replace LLM quick_classify with zero-cost
local heuristic (keyword/length/code-pattern scoring), gated by
router.classifier config (default: heuristic)
- Add parallel tool execution in ReActEngine via asyncio.gather for
multiple independent tool_calls, gated by parallel_tools param
- Add AsyncWriteQueue for non-blocking session persistence with WAL
buffer, gated by async_writes param on SessionManager
- Add httpx.Limits connection pool config to all LLM providers
- Add router config section to ServerConfig and agentkit.yaml
- All optimizations have config switches for safe rollback
Phase B:
- U1: CostAwareRouter with 3-layer routing (rule/LLM/capability matching)
- U6: OrganizationContext with agent profiles and capability-based discovery
- U7: AlignmentGuard with constraint injection and cascade detection
Phase C:
- U8: Soul dynamic evolution with version tracking and reflection-triggered updates
- U9: Auction mechanism as optional advanced routing mode
- U10: Server integration + end-to-end integration tests
250 new tests passing across all units.
- Enhanced chat CLI with adaptive mode and session management
- Added pipeline reflection and schema extensions
- Upgraded BaiduSearch and WebSearch tools with advanced capabilities
- Expanded server routes for skills and chat
- Added session store enhancements
- New chat module and pipeline reflection support
- Orchestrator accepts optional message_bus parameter; workers publish
task.progress messages via MessageBus after each subtask execution
- AgentPool accepts optional message_bus; auto-registers agents on
create and auto-unregisters on remove
- app.py initializes MessageBus from config and injects into AgentPool
- ServerConfig adds bus configuration field
- 5 new tests, all passing
Add compression config to ServerConfig (following telemetry pattern),
create compressor in create_app, pass through AgentPool to
ConfigDrivenAgent, and inject into ReActEngine.execute() calls.
Add MCPServerConfig dataclass with stdio/streamable_http/sse transport
validation, MCPManager for declarative YAML-driven MCP server lifecycle
(start_all/stop_all), tool discovery and registration. Integrated
into FastAPI lifespan startup/shutdown.
chiguyong
Fischer