Core no longer assembles a whole trace locally. Every workflow node is uploaded
the moment it completes as its own `execution_node` record, and each execution
closes with exactly one `execution_chain` record; all records of one execution
carry the same `event_id`, so Space groups them back into a single chain.
- every execution starts at an inbound event: event-less Pipeline lanes and
WebUI/API debug runs synthesize their virtual inbound event at the boundary
and are marked debug=true, so a Runner is never a trace origin
- sampling is decided once per event from a stable hash of the event id (the
previous `int(id[:8], 16)` raised on every `platform:`-prefixed id and so
dropped every successful inbound-event chain) and is reported on each record
as sample{mode,denominator}; the default mode is now `all`
- the local trace buffer, the 120s TTL, the per-process trace cap and the shared
open-node mirror are gone, which also removes the truncated-chain upload and
the re-buffered-closed-trace leak they caused
- a broken chain is always uploaded, and its reason falls back to the first
failed node so the chain explains itself
- flush keeps records until the sender accepts them and counts what it drops;
telemetry health replaces the unused send-task queue
- heartbeat reports bound Agent / plugin-processor / event-binding counts
- bound Pipeline and Agent resources (plugins, MCP servers, knowledge bases,
tools with their Host source, skills, models and the Runner schema selectors
that picked them) are reported on the chain record
- failure text is bounded and redacted instead of passing exception text through
- the dead per-query feature counters and their call sites are removed
Wire contract: schema 2 (`execution_node` / `execution_chain`).
Every host step now opens a stage scope, so observations recorded inside it (including cross-task plugin/RPC calls resolved through the execution registry) carry the owning step as parent; the pipeline lane records its own pipeline/run node so acks and replies issued outside the runner still hang off a node.
Execution telemetry already reported window counters. This adds one bounded,
content-free chain per inbound platform event, so a single event can be
followed from its source platform through routing and processing to the
platform API calls it caused.
- telemetry/trace.py: ContextVar trace identity with route and run scopes, and
a 32-stage bound per chain.
- telemetry/execution.py: keeps at most 64 chains for 120s, decides sampling
from the observed outcome, and sends one payload per chain keyed by
query_id = trace_id, so Space fetches a chain by primary identity. Window
counters are unchanged and remain the source of coverage statistics.
- botmgr / pipelinemgr / orchestrator: bind the trace at the ingress boundary,
scope routing identity per dispatch, and attach the run identity, so nested
lanes (event -> route -> pipeline/runner -> platform API) reuse one chain. A
run reached without an ingress (WebUI debug, service API) owns its own chain.
- space.execution_trace selects off | failures | sampled | all (default
sampled: failures, WebUI debug runs and every N-th success).
Chains carry only code-defined identifiers (adapter and runner types, route
identity as type:uuid, run id); never message content, tool arguments or
platform user identifiers.
Preserve the published timezone-less schema and epoch API contract across run lifecycle, deadlines, leases, heartbeat registry, events, transcripts and retention cutoffs. Exercise the real Host journal with asyncpg under a non-superuser role on metadata and published-migration schemas; 32 PostgreSQL regressions fail before the fix and pass after it.
* fix(runner): align SDK pin and workspace-aware integration fixtures
* fix(ci): format sources and resolve current migration head
* test(persistence): align standalone migration fixtures with current models
* test(web): align smoke fixtures with current processor UI
---------
Co-authored-by: dadachann <[email protected]>
Expose skill tools (activate/register_skill/native exec) like native tools
instead of gating them behind the skill_authoring capability:
- toolmgr.get_all_tools drops include_skill_authoring; SkillToolLoader
self-gates on sandbox + skill_mgr
- preproc drops the include_skill_authoring branch; pipeline-bound skills
and the skills resource gate on skill_mgr presence
Persist activated skills into host.activated_skills conversation state so
they survive across runs (host writes at activate; last-write-wins); drop
the dead restore_activated_skills helper.
Prefill ToolResource.parameters host-side (tool_mgr.get_tool_schema) so
runners build LLM tools without per-tool get_tool_detail round-trips.
Align agent-runner-pluginization design docs to the all-tool model.
RockChinQ