Test Log — 25_agentos_tools

Tested 2026-07-27 on branch feat/agentos-tools (tip 567cbdaa0 plus the review-fix pass: schedule error redaction, page-scoped history summary, span-stats paging tiebreak, performance eval run times) with .venvs/demo/bin/python and OPENAI_API_KEY set.

platform_ops_agent.py

Status: PASS

Test mode: LIVE

Description: Constructs a worker agent and an ops agent sharing one SqliteDb, with tracing enabled on the AgentOS. Runs the worker twice (calculator tool calls), then verifies through AgentOSTools directly: get_run_activity reports 2 traces for research-worker with duration aggregates, get_tool_activity lists the calculator tools and model calls, get_platform_metrics reports the session with token totals. Finally the ops agent answers a platform-summary question.

Result: Self-verification passed: 2 worker traces at 3,440.5 ms average with 0 errors, tools add/multiply visible, 1 session with 1,561 total tokens at mid-demo. The ops agent produced a grounded summary: a per-agent run table (research-worker, 2 runs, 1 session, 3,440.5 ms avg, 3,798.0 ms max, 0 errors), one endpoint-level trace reported separately from component-attributed traces, tool and model-call telemetry repeating the "p95_duration_ms is not available on this database backend" note, token usage (1,508 input / 53 output / 1,561 total), model mix (gpt-5.5: 2 runs) — and it closed with "The platform does not report monetary cost, only token totals" instead of estimating a spend figure.

Validation

Run activity, tool activity and platform metrics all read back real traced data; the demo's built-in assertions (at least 2 worker traces, at least 1 agent session) passed.
Truncation and backend-capability notes surface in the payloads and the agent repeats them instead of overstating; asked about spend, it gives token totals and says cost is not tracked.
No sensitive payloads (span attributes, tool arguments) appear in any output.
Reading the same database after the demo shows the ops agent's own run in the platform data (sessions rise to 2, model mix to 3 runs): the toolkit observes the OS it runs on, including itself.