mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-06-12 00:36:03 +00:00
feat(agent-runner): integrate AgentRunner Protocol v1 with plugin system
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>
This commit is contained in:
huanghuoguoguo
210
src/langbot/pkg/agent/runner/resource_builder.py
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210
src/langbot/pkg/agent/runner/resource_builder.py
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"""Agent resource builder for constructing authorized resources."""
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from __future__ import annotations
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import typing
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from ...core import app
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from .descriptor import AgentRunnerDescriptor
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from .context_builder import (
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AgentResources,
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ModelResource,
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ToolResource,
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KnowledgeBaseResource,
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StorageResource,
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)
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class AgentResourceBuilder:
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"""Builder for constructing AgentResources with permission filtering.
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Responsibilities:
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- Apply 3-layer permission filtering:
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1. Runner manifest declared permissions
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2. Pipeline extensions_preference (bound plugins/MCP servers)
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3. Runner instance config selected resources
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- Build models list from authorized models
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- Build tools list from bound plugins/MCP servers
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- Build knowledge_bases list from config
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- Build storage and files permissions summary
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Note: This only builds the resource declaration. The actual proxy actions
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in handler.py must still validate against ctx.resources at runtime.
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Resource field names match SDK v1 Protocol:
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- ModelResource: model_id, model_type, provider
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- ToolResource: tool_name, tool_type, description
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- KnowledgeBaseResource: kb_id, kb_name, kb_type
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- StorageResource: plugin_storage, workspace_storage
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"""
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ap: app.Application
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def __init__(self, ap: app.Application):
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self.ap = ap
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async def build_resources(
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self,
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query: typing.Any, # pipeline_query.Query
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descriptor: AgentRunnerDescriptor,
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) -> AgentResources:
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"""Build AgentResources from query and runner descriptor.
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Args:
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query: Pipeline query with pipeline_config and variables
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descriptor: Runner descriptor with permissions and capabilities
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Returns:
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AgentResources dict with filtered resource lists
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"""
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# Get bound plugins and MCP servers from query
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bound_plugins = query.variables.get('_pipeline_bound_plugins')
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bound_mcp_servers = query.variables.get('_pipeline_bound_mcp_servers')
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# Layer 1: Runner manifest permissions
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manifest_perms = descriptor.permissions
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# Layer 2: Pipeline extensions_preference (already in bound_plugins/MCP servers)
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# Layer 3: Runner instance config (from pipeline_config) - resolved via ConfigMigration
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from .config_migration import ConfigMigration
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runner_config = ConfigMigration.resolve_runner_config(query.pipeline_config, descriptor.id)
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# Build each resource category
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models = await self._build_models(manifest_perms, query)
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tools = await self._build_tools(manifest_perms, bound_plugins, bound_mcp_servers, query)
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knowledge_bases = await self._build_knowledge_bases(manifest_perms, runner_config, query)
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storage = self._build_storage(manifest_perms)
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return {
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'models': models,
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'tools': tools,
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'knowledge_bases': knowledge_bases,
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'files': [], # Files are populated at runtime
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'storage': storage,
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'platform_capabilities': {}, # Reserved for EBA
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}
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async def _build_models(
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self,
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manifest_perms: dict[str, list[str]],
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query: typing.Any,
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) -> list[ModelResource]:
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"""Build models list with SDK v1 field names."""
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models: list[ModelResource] = []
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# Check manifest permission
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model_perms = manifest_perms.get('models', [])
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if 'invoke' not in model_perms and 'stream' not in model_perms:
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return models
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# Get model from query (preproc already resolved this)
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model_uuid = getattr(query, 'use_llm_model_uuid', None)
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if not model_uuid:
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return models
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try:
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model = await self.ap.model_mgr.get_model_by_uuid(model_uuid)
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if model and model.model_entity:
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# Use SDK v1 field names: model_id, model_type, provider
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models.append({
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'model_id': model_uuid,
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'model_type': model.model_entity.model_type,
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'provider': model.provider_entity.name if hasattr(model, 'provider_entity') else None,
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})
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except Exception:
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pass
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# Add fallback models if present
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fallback_uuids = query.variables.get('_fallback_model_uuids', [])
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for fb_uuid in fallback_uuids:
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try:
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model = await self.ap.model_mgr.get_model_by_uuid(fb_uuid)
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if model and model.model_entity:
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models.append({
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'model_id': fb_uuid,
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'model_type': model.model_entity.model_type,
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'provider': model.provider_entity.name if hasattr(model, 'provider_entity') else None,
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})
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except Exception:
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pass
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return models
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async def _build_tools(
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self,
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manifest_perms: dict[str, list[str]],
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bound_plugins: list[str] | None,
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bound_mcp_servers: list[str] | None,
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query: typing.Any,
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) -> list[ToolResource]:
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"""Build tools list with SDK v1 field names."""
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tools: list[ToolResource] = []
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# Check manifest permission
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tool_perms = manifest_perms.get('tools', [])
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if 'list' not in tool_perms and 'call' not in tool_perms:
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return tools
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# Get tools from query (preproc already resolved this for local-agent)
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use_funcs = getattr(query, 'use_funcs', [])
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for tool in use_funcs:
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# Use SDK v1 field names: tool_name, tool_type, description
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tools.append({
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'tool_name': tool.name,
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'tool_type': None, # Tool type not available in current LLMTool
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'description': tool.description,
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})
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return tools
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async def _build_knowledge_bases(
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self,
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manifest_perms: dict[str, list[str]],
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runner_config: dict[str, typing.Any],
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query: typing.Any,
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) -> list[KnowledgeBaseResource]:
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"""Build knowledge bases list with SDK v1 field names."""
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kb_resources: list[KnowledgeBaseResource] = []
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# Check manifest permission
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kb_perms = manifest_perms.get('knowledge_bases', [])
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if 'list' not in kb_perms and 'retrieve' not in kb_perms:
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return kb_resources
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# Get knowledge base UUIDs from config
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kb_uuids = runner_config.get('knowledge-bases', [])
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if not kb_uuids:
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# Old single KB config
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old_kb_uuid = runner_config.get('knowledge-base', '')
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if old_kb_uuid and old_kb_uuid != '__none__':
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kb_uuids = [old_kb_uuid]
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# Also check query variables (may be modified by plugin PromptPreProcessing)
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kb_uuids_from_vars = query.variables.get('_knowledge_base_uuids', [])
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if kb_uuids_from_vars:
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kb_uuids = kb_uuids_from_vars
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for kb_uuid in kb_uuids:
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try:
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kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
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if kb:
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# Use SDK v1 field names: kb_id, kb_name, kb_type
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kb_resources.append({
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'kb_id': kb_uuid,
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'kb_name': kb.get_name(),
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'kb_type': kb.knowledge_base_entity.kb_type if hasattr(kb.knowledge_base_entity, 'kb_type') else None,
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})
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except Exception:
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pass
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return kb_resources
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def _build_storage(
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self,
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manifest_perms: dict[str, list[str]],
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) -> StorageResource:
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"""Build storage permissions with SDK v1 field names."""
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storage_perms = manifest_perms.get('storage', [])
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return {
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'plugin_storage': 'plugin' in storage_perms,
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'workspace_storage': 'workspace' in storage_perms,
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}
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