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graphx v0.6.0 — describe it, and it builds it

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@mtecnic mtecnic released this 23 Jul 05:55
· 15 commits to main since this release
v0.6.0
2661903

The payoff release: point graphx at your local LLM by URL, describe a workflow in plain English, and it builds and runs it — offline, on your hardware.

✨ New in v0.6.0

Point at any endpoint

graphx providers --add http://192.168.1.50:8000    # probe a URL, auto-discover its model

Type an IP/URL for any OpenAI-compatible server (vLLM / llama.cpp / Ollama / LM Studio / gateway) — graphx probes it, confirms it's live, and discovers the model name. Also a TUI AddEndpointScreen.

Natural-language workflow builder

graphx generate "fetch a URL, summarize it with the local model, save to a file"
graphx edit myflow.yaml "add a Slack alert when the agent fails"

Turns a description into a valid, runnable workflow using the full node + connector set, and applies natural-language edits to existing ones. In the TUI, press g.

  • Grounded by the validator — the model's output is checked by the same validator graphx run uses; errors are fed back for a bounded repair loop. Always either valid or clearly flagged for a quick fix.
  • Two engines — oneshot (default; emit + repair, reliable on small local models) and --agentic (builder tools, step by step).
  • Verified live on a local vLLM: generate produced a valid workflow in ~2.8k tokens that ran end to end; edit inserted a human gate.

From v0.5

Pregel-style engine (loops, checkpointing, resume) · 12 node types · resilience (retries, fallbacks, budgets, dead-letters) · secret:// credentials that never leak · 12 credential-wired connectors · LAN model discovery · templates · OpenAPI scaffolding · Textual TUI · FastAPI + SSE server.

224 tests, ruff-clean, Python 3.12+.

Install

pip install -e ".[tui,mcp,server]"
graphx tui
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