Back to Agno

Test Log: 24_showcase

cookbook/05_agent_os/24_showcase/TEST_LOG.md

3.0.03.1 KB
Original Source

Test Log: 24_showcase

Tested on 2026-07-24 against Agno source commit 45bfff9f2aa6ec11b7386c3cd3bf6d1141d005dc, and demo.py re-tested on 2026-08-24 after its eval persistence check moved from accuracy_evaluation.eval_id to result.run_id.

The lesson was loaded from the rewrite worktree and exercised with the demo Python environment, PostgreSQL with pgvector on port 5532, gpt-5.5, and claude-sonnet-4-6.

_agents.py

Status: PASS

Test mode: LIVE (support module — no __main__; its objects were imported and driven by a test harness)

Description: Loaded the current AgentOS introduction into the Agno Documentation knowledge base, searched pgvector, then ran Agno Assist and Sage with their configured models and tools.

Result: The knowledge search returned 2 document chunks. Agno Assist run 9ba0f654-3d9e-439a-8401-4d6534b46edf called search_knowledge_base, identified Agents, Teams, and Workflows, and cited https://docs.agno.com/agent-os/introduction.md. Sage run db9591cc-3f19-4531-89c8-48c1114c6e06 called get_current_stock_price and search_news, then returned dated NVIDIA market data with a linked news source.


_teams.py

Status: PASS

Test mode: LIVE (support module — no __main__; its objects were imported and driven by a test harness)

Description: Ran the Finance Team in broadcast mode with a current NVDA and AMD comparison that required both registered members and live financial data.

Result: Team run a4f62211-5d17-43ee-911f-817eb60be176 completed with member responses from Sage and Market Analyst. Both members retrieved the two current prices, and the gpt-5.5 Team leader reconciled their results into a sourced table with timing caveats.


demo.py

Status: PASS

Test mode: LIVE

Description: Re-tested 2026-08-24 on SHOWCASE_PORT=17879 after the eval persistence check moved to result.run_id: prepared knowledge, ran the real accuracy evaluation, and exercised authentication and the eval endpoints.

Result: AccuracyEval da6e8c87-0250-40d3-aec3-2c8398810a51 scored 10/10 with the claude-sonnet-4-6 judge, and the persistence assertion read its row back by result.run_id. Anonymous GET /config returned 401, authenticated 200, and the eval list returned three stored runs, each under its own id. The server shut down cleanly with no remaining listener. The 2026-07-24 pass on 17877 covered more surface: AccuracyEval 0a7df9c3-aecc-4ee5-bc2e-fa7165bb234a at 10/10, persistence via eval 47325c0e-73c5-4477-87e7-38dc4f5323ce, discovery returning exactly agno-assist, sage, and finance-team, Agent run 46f18a31-9a8e-4db5-810b-c63e14275ec0 after a knowledge search, and trace f43d8d4a65e4c0218fc6f84ef9df77a2 with 4 spans.


Validation

  • Recursive pattern validation checked exactly 3 Python files with 0 violations.
  • Targeted Ruff format and check, Python compilation, inventory parity, local Markdown links, legacy deletion, and git diff --check passed.
  • PostgreSQL and pgvector remained running for the shared cookbook test environment; no showcase server process or listener remained.