ava-whatsapp-agent-course tested by Argusic Runner

What the test found

uv sync installs all dependencies, 30 Python source files compile, LangGraph workflow graph compiles with 9 nodes, FastAPI WhatsApp webhook answers GET verification with HTTP 200, Chainlit chat interface starts on port 8000 and serves HTTP 200, mock API keys produce 401 when POSTing messages as expected since real Groq/ElevenLabs/Together/Qdrant credentials are required for end-to-end operation

Project is a course companion (Ava WhatsApp agent). No unit tests exist in the repo. All real behavior depends on Groq, ElevenLabs, Together AI, and Qdrant Cloud API keys. The app's structural integrity is verified: imports, graph compilation, edge routing, schedule generation, and server startup all pass. The POST /whatsapp_response endpoint correctly routes through the LangGraph pipeline and returns 500 with the expected 401 from Groq when mock keys are used.

Argusic installed ava-whatsapp-agent-course in 17.4 minutes and launched it; verification reached Verified with mock services. 6 of 6 recorded errors were worked through (see the timeline below).

Runs with mocksall runs of ava-whatsapp-agent-course

This summary is drawn from the agent's recorded report for this run. Every figure traces to the log and recording above; nothing here is authored.