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GoNext cloud API for async local LLM jobs and runs them against Ollama/OpenAI-compatible servers on this Mac","maintainers":[{"name":"tiens.nguyen","email":"tiennsloit@gmail.com"}],"readme":"# @tiens.nguyen/gonext-local-worker\nRun:\n  GONEXT_API_BASE=... GONEXT_WORKER_KEY=... npx -y --package @tiens.nguyen/gonext-local-worker gonext-local-worker\n\n## Agent chat mode\n\nSelect **Agent** (instead of Chat) under the composer in the web app. Your\nfree-form prompt is handed to a [smolagents](https://github.com/huggingface/smolagents)\nagent running on your local MLX/Ollama model. The agent can call tools (v1:\n`http_request`) and streams its thinking steps + final answer directly into the\nchat thread.\n\nRequires smolagents in the worker's Python environment:\n\n```sh\npip install smolagents certifi\n```\n\n- `certifi` supplies a trusted CA bundle so the agent's `http_request` tool can\n  verify HTTPS certificates on macOS (where Python's default bundle may be\n  missing). The worker falls back to the system bundle if certifi is absent.\n- Agent mode is blocked for cloud models (the API returns 400). Select a local\n  MLX or Ollama model first.\n- Tool steps appear in the collapsible reasoning (`<think>`) area; the final\n  answer is the message body — no new UI needed.\n\nThe agent script is `gonext_agent_chat.py` (reads `{messages, agentBaseURL,\nagentApiKey, agentModelId, tools, maxSteps}` on stdin; emits NDJSON\n`{\"type\":\"step\"/\"final\",\"text\":\"...\"}` lines on stdout).\n\n## API Check / HTTP probe (Tools & Agents modes)\n\nThe worker can run Postman-style HTTP probes queued from the web app\n(\"Tools\" = `tool_only`, \"Agents\" = `agentic`). The worker always performs the\nactual HTTP request itself (Node `fetch`, so TLS works), measures the\nstatus/latency/headers/body, and classifies it (2xx/3xx/4xx/5xx/timeout/\nnetwork_error).\n\n- **Tools (`tool_only`)** — no extra setup. The selected local model writes a\n  one-line health summary of the measured result.\n- **Agents (`agentic`)** — a smolagents agent (running on the selected local\n  model) produces the summary. Requires `pip install smolagents`.\n\n  The agent talks to your local MLX OpenAI-compatible server (no cloud calls).\n  The agent only summarizes; the worker's measurement stays the source of truth,\n  so if smolagents or the model is unavailable the probe still returns the\n  measured result with a note.\n\n### Env vars\n\n  GONEXT_PROBE_PYTHON   Python executable for smolagents scripts\n                        (default: GONEXT_MLX_LM_PYTHON or python3)\n","readmeFilename":"README.md"}