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feat(telemetry): payload v2 with feature usage counters and instance heartbeat

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Per-query events now carry event_type='query' and a features JSON object:
- tool_calls by source (native/plugin/mcp/skill) via ToolManager
- tool_call_rounds, kb usage (count/engine plugins/retrieved entries) via local-agent
- sandbox execs/errors via BoxService
- activated_skills and bound mcp_servers snapshots

New instance_heartbeat event (startup + daily) reports anonymous instance
profile: deploy platform, database/vdb kind, box backend/availability,
adapter type names, and resource counts. Respects space.disable_telemetry.

All collection helpers are defensive and never break the pipeline.
Verified: ruff, 37 telemetry unit tests (13 new), 504 box/provider/pipeline tests.
This commit is contained in:
RockChinQ
2026-06-12 08:11:43 -04:00
parent bca710dbd4
commit dd96da895c
10 changed files with 488 additions and 0 deletions
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src/langbot/pkg/provider/tools/toolmgr.py
+6
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@@ -97,13 +97,19 @@ class ToolManager:
return tools
async def execute_func_call(self, name: str, parameters: dict, query: pipeline_query.Query) -> typing.Any:
from langbot.pkg.telemetry import features as telemetry_features
if await self.native_tool_loader.has_tool(name):
telemetry_features.increment(query, 'tool_calls', 'native')
return await self.native_tool_loader.invoke_tool(name, parameters, query)
if await self.plugin_tool_loader.has_tool(name):
telemetry_features.increment(query, 'tool_calls', 'plugin')
return await self.plugin_tool_loader.invoke_tool(name, parameters, query)
if await self.mcp_tool_loader.has_tool(name):
telemetry_features.increment(query, 'tool_calls', 'mcp')
return await self.mcp_tool_loader.invoke_tool(name, parameters, query)
if await self.skill_tool_loader.has_tool(name):
telemetry_features.increment(query, 'tool_calls', 'skill')
return await self.skill_tool_loader.invoke_tool(name, parameters, query)
raise ValueError(f'未找到工具: {name}')