Feat/agent runner plugin#2210
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Phase 0 integration complete - verified minimal loop with local-agent stub runner. Changes: - Add AgentRunOrchestrator for plugin-based agent execution - Add AgentResultNormalizer for Protocol v1 result conversion - Add AgentRunnerDescriptor for runner ID parsing (plugin:author/name/runner) - Update chat handler to use new orchestrator instead of direct runner lookup - Add plugin handler methods for list_agent_runners and run_agent - Add connector methods for AgentRunner protocol forwarding - Update pipeline API to include runner options in metadata - Add integration docs and implementation plan Integration verified: - Runner: plugin:langbot/local-agent/default - Input: "你好" - Output: [stub] Echo: 你好 - Date: 2026-05-10 10:09 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Add pre-computed _authorized_ids (frozenset) at session registration for O(1) lookup - Refactor is_resource_allowed() from linear search to set membership check - Add thread-safe locking to get_session_registry() singleton - Cache _session_registry and _state_store references in orchestrator __init__ - Add asyncio.gather() for parallel resource building in AgentResourceBuilder - Create shared test fixtures in tests/unit_tests/agent/conftest.py - Update test files to import from shared conftest.py Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Add DEPRECATED docstring to all legacy runners in pkg/provider/runners/ - Mark migration target for each runner (local-agent, dify, n8n, coze, dashscope, langflow, tbox) - Add PROGRESS.md to track agent-runner-pluginization implementation status - Remove completed PHASE0_INTEGRATION_RECORD.md
…zation - Add invoke_rerank action handler in plugin handler - Validate rerank model access via run session - Cap documents at 64 for API limit - Return sorted results by relevance score
Add unified tool lookup method that searches both plugin and MCP loaders. Also add _get_tool method to MCPLoader for consistency with PluginToolLoader.
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This was referenced May 19, 2026
Add EventLog and Transcript persistence entities for storing auditable event facts and conversation history projection. Implement event-first AgentRunContext builder that produces Protocol v1 compliant context payloads with required fields: event, delivery, context (ContextAccess). Key changes: - EventLog ORM: auditable event records with indexes - Transcript ORM: conversation history projection with composite indexes - AgentRunContextBuilder: Protocol v1 payload with delivery, context, bootstrap - EventLogStore/TranscriptStore: async stores for fact sources - Host action handlers: HISTORY_PAGE, HISTORY_SEARCH, EVENT_GET, EVENT_PAGE - Context validation: build_context output validates via SDK AgentRunContext - Alembic migration for event_log and transcript tables - Alembic env.py imports all ORM models for autogenerate discovery Legacy compatibility: max-round messages go into bootstrap.messages and compatibility.legacy_messages, not top-level messages field.
- run_from_query() now delegates to run(event, binding) instead of maintaining a separate legacy execution path - Pipeline Query is converted to AgentEventEnvelope via PipelineCompatAdapter - Pipeline config is converted to AgentBinding with StatePolicy - bound_plugins authorization preserved from Pipeline - Legacy compatibility fields preserved: - query_id → context.runtime.query_id → session registry - prompt → context.compatibility.extra.prompt (not top-level) - params → context.compatibility.extra.params (with proper filtering) - max-round → bootstrap.messages and compatibility.legacy_messages - Pipeline path gains event-first host capabilities: - EventLog and Transcript writing - ArtifactStore registration - PersistentStateStore for state.updated - Removed legacy handlers: - _handle_artifact_created_query() (replaced by _handle_artifact_created) - _handle_state_updated() (replaced by _handle_state_updated_event) This change unifies the execution path while preserving backward compatibility for Pipeline-based runners. EventGateway is not implemented in this branch; only the event-first entry point is reserved.
| def mock_session_registry(self): | ||
| """Create a fresh session registry for testing.""" | ||
| # Reset global registry | ||
| import langbot.pkg.agent.runner.session_registry as reg |
| @pytest.fixture | ||
| def session_registry(self): | ||
| """Create a fresh session registry for testing.""" | ||
| import langbot.pkg.agent.runner.session_registry as reg |
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| from langbot.pkg.entity.persistence import ( | ||
| agent_runner_state, | ||
| apikey, | ||
| artifact, | ||
| bot, | ||
| bstorage, | ||
| event_log, | ||
| mcp, | ||
| metadata, | ||
| model, | ||
| monitoring, | ||
| pipeline, | ||
| plugin, | ||
| rag, | ||
| transcript, | ||
| user, | ||
| vector, | ||
| webhook, | ||
| ) |
| from sqlalchemy.orm import sessionmaker | ||
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| from ...entity.persistence.event_log import EventLog | ||
| from ...entity.persistence.transcript import Transcript |
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| from langbot_plugin.api.entities.builtin.agent_runner.event import ( | ||
| AgentEventContext, | ||
| ConversationContext, | ||
| ActorContext, | ||
| SubjectContext, | ||
| RawEventRef, | ||
| ) |
| ], | ||
| ) | ||
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| messages = [message async for message in orchestrator.run_from_query(query)] |
| "another_param": 123, | ||
| } | ||
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| messages = [message async for message in orchestrator.run_from_query(query)] |
| "_pipeline_bound_plugins": ["plugin1"], | ||
| } | ||
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| messages = [message async for message in orchestrator.run_from_query(query)] |
| "credential": "secret000", | ||
| } | ||
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| messages = [message async for message in orchestrator.run_from_query(query)] |
| "a_lambda": lambda x: x, # function is not JSON-serializable | ||
| } | ||
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| messages = [message async for message in orchestrator.run_from_query(query)] |
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状态 / Status
测试中，请勿合并。
该 PR 是 LangBot 侧 Agent Runner Plugin 联调入口，当前需要和 Plugin SDK PR 以及两个 runner 仓库一起测试。
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关联测试仓库 / Related Testing Repositories
当前测试重点 / Current Test Focus
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