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Discover LM Studio via host/port scanning and native-API fingerprint (#1126)

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Scan port 1234 and any custom port from LM_STUDIO_URL, add the LM_STUDIO_URL host to the discovery sweep alongside the Ollama env vars, and tag each discovered endpoint with its provider by fingerprinting the native /api/v1/models response (entries carrying key + architecture). Documents LM_STUDIO_URL in .env.example.
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RosenTomov
2026-06-02 17:04:58 +03:00
committed by GitHub
parent c0c1ceb36d
commit 37356d8e3e
3 changed files with 229 additions and 13 deletions
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.env.example
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@@ -16,6 +16,10 @@ LLM_HOST=localhost
# when started with OLLAMA_HOST=0.0.0.0:11434.
# OLLAMA_BASE_URL=http://host.docker.internal:11434/v1
# Optional LM Studio URL. In Docker, host LM Studio is reachable here
# when LM Studio is set to serve on all interfaces (0.0.0.0).
# LM_STUDIO_URL=http://host.docker.internal:1234
# OpenAI API key (only needed if using OpenAI models).
# Do not commit real keys. Keep this commented until needed.
# OPENAI_API_KEY=your_openai_api_key_here