- 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
- AgentMessage: message model with sender/recipient/topic/payload/correlation_id
- MessageBus Protocol: publish/subscribe/unsubscribe/request/broadcast/health_check
- InMemoryMessageBus: asyncio.Queue-based implementation for testing
- RedisMessageBus: Redis Streams (XADD/XREADGROUP) implementation with
consumer groups, message acknowledgment, and dead letter queue
- create_message_bus() factory with graceful Redis→InMemory fallback
- Request-response pattern via correlation_id + asyncio.Future
- 13 new tests, all passing
- AskHumanTool: Human-in-the-Loop tool for Chat mode, pushes questions
via WebSocket callback and waits for user reply via asyncio.Future
- Token streaming: execute_stream() now uses chat_stream() instead of
chat(), yielding token-type ReActEvents for each StreamChunk
- _build_response_from_stream() static method constructs LLMResponse
from accumulated stream data
- Export AskHumanTool from tools/__init__.py
- 12 new tests (7 AskHumanTool + 5 token streaming), all passing
Add HeadroomRetrieveTool that allows LLM to retrieve original
uncompressed data from CCR cache via Function Calling. Auto-registered
when HeadroomCompressor is active and available.
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 HeadroomCompressor implementing CompressionStrategy Protocol with
content-type routing (JSON→SmartCrusher, code→CodeCompressor), CCR
reversible compression cache, and graceful degradation when headroom-ai
is not installed.
Add runtime-checkable CompressionStrategy Protocol with compress(),
compress_tool_result(), and is_available() methods. Add compress_tool_result
and is_available to existing ContextCompressor. Add create_compressor()
factory function with headroom/summary provider routing and ImportError
fallback.
Add telemetry module with tracing (agent/tool/llm/pipeline_step spans),
metrics (5 histograms/counters), and setup with optional OTLP exporters.
Uses no-op pattern when opentelemetry not installed. GenAI Semantic
Conventions for LLM spans. Integrated into ReactEngine, LLMGateway,
ToolBase, and FastAPI app.
Add StepRetryPolicy with jitter-based exponential backoff, SagaOrchestrator
with LIFO compensation pattern, integrate retry_policy and compensate
fields into PipelineStage/PipelineStep schema, add GEO pipeline
compensation definitions for all 7 steps.
Add PipelineStateMemory/Redis/PG backends, PipelineStateManager with
Redis Sorted Set hot state + PostgreSQL JSONB cold persistence.
Integrated into PipelineEngine with state persistence calls at each
step transition.
Add WebCrawlTool (Crawl4AI wrapper with graceful degradation),
SchemaExtractTool (extruct-based Schema.org extraction), and
SchemaGenerateTool (JSON-LD generation with optional pydantic-schemaorg
validation). All tools work without optional dependencies.
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.
Add StdioTransport class supporting stdio JSON-RPC over subprocess
stdin/stdout with asyncio.create_subprocess_exec, pending futures
for request/response matching, and stderr forwarding.
- Added _acquire_status_lock with timeout (30s) to prevent deadlocks
- Added _release_status_lock for safe lock release
- Added config_version tracking on BaseAgent
- Config hot-reload now increments version and propagates to agents
- Audit logging with config version in _on_config_change
- WenxinProvider: Baidu ERNIE via Qianfan v2 OpenAI-compatible API, AK/SK token auth
- DoubaoProvider: ByteDance Doubao via Volcengine Ark API
- YuanbaoProvider: Tencent Hunyuan via OpenAI-compatible API with enhancement mode
- All inherit from OpenAICompatibleProvider for retry/circuit breaker support
- 16 tests passing
- EpisodeModel ORM model with pgvector embedding support
- create_episodic_session_factory for async PostgreSQL sessions
- Server app.py now resolves session_factory from database_url config
- Graceful fallback when database_url not configured
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