FlowX tested by Argusic Runner

What the test found

After mounting a mock pydaograph and a mock LLM endpoint, this container installs FlowX from the checkout, its 623-test suite passes, and the SDK, stdio MCP server and A2A HTTP server build a 4-node workflow whose generated FastAPI service returns HTTP 200 on GET / and serves /api/run-step end to end.

No real LLM key was available. Test depth tier2 because both third-party boundaries were mocks: pydaograph (C++ pybind11) was replaced by a pure-Python stand-in because Python headers cannot be installed without root, so native-engine behavior beyond the API used here (multi-threading, GRegion/GCondition execution, C++ internals) is unproven; the LLM was a schema-correct OpenAI-compatible mock whose node/template payloads came from the repo's own prompts and template. Repo changes: README.md, packages/a2a/flowx_a2a/server.py, packages/core/flowx_core/builder_services.py, packages/core/flowx_core/tools/agent_builder_tools.py, packages/mcp/flowx_mcp/server.py plus their tests; template-only pins (fastapi<0.162, mcp<2) are needed for a clean dependency resolution. No git commit made.

Argusic installed FlowX in 38 minutes and launched it; verification reached Verified with mock services. 8 of 8 recorded errors were worked through (see the timeline below).

Runs with mocksall runs of FlowX

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.