conf/models/lmstudio.json

{
  "name": "lmstudio",
  "url_suffix": {
    "chat": "chat/completions",
    "models": "models",
    "embedding": "embeddings"
  },
  "class": "local"
}
Go: implement provider: lm-studio (#14586) ### What problem does this PR solve? implement `lm-studio` provider ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring 2026-05-06 19:23:11 +08:00			`{`
			`"name": "lmstudio",`
			`"url_suffix": {`
			`"chat": "chat/completions",`
Go: implement Encode (embeddings) in LM Studio driver (#14694) ### What problem does this PR solve? The LM Studio Go driver shipped with a stub \`Encode\` method that returned \`no such method\`, even though LM Studio is one of the most common local LLM runners on macOS and Windows and exposes an OpenAI-compatible embeddings endpoint at \`/v1/embeddings\`. LM Studio users routinely load local embedding models such as \`nomic-ai/nomic-embed-text-v1.5\`, \`mixedbread-ai/mxbai-embed-large-v1\`, or \`BAAI/bge-m3\`. They run on the same \`/v1\` namespace as chat. The existing \`ListModels\` already discovers them, but because \`Encode\` was a stub, a tenant who picked one of these models in the Go layer could not actually run an embedding call. This finishes the local-LLM trio: Ollama Encode (#14664) and vLLM Encode (#14688) are already in flight, both using the same OpenAI-compatible \`/embeddings\` shape. ### What this PR includes - \`conf/models/lmstudio.json\`: add \`\"embedding\": \"embeddings\"\` under \`url_suffix\` so the driver can build the URL from config. - \`internal/entity/models/lmstudio.go\`: replace the \`Encode\` stub with a real implementation. Adds a small local response type that matches the OpenAI-compatible shape. No factory change. No interface change. ### How the driver works - Validate the model name. The API key is optional for local LM Studio, so the Authorization header is only set when both \`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern the recently merged CheckConnection PR (#14614) uses. - Resolve the region with a default fallback. Return a clear "missing base URL" error when the user has not configured the local access address yet. - Use a per-call \`context.WithTimeout(30s)\` and \`http.NewRequestWithContext\`, the same pattern the merged Aliyun Encode (#14647) and the in-flight Ollama Encode (#14664) and vLLM Encode (#14688) use. - Send \`{model, input: [texts]}\` in one request. - Parse \`data[].embedding\` and copy each slice into a \`[][]float64\` indexed by \`data[].index\`, so the output order matches the input order. - Handle both \`float64\` and \`float32\` element types. - Empty input returns \`[][]float64{}\` with no HTTP call. - Length mismatch between input and result, out-of-range index, and any missing slot all return clear errors instead of silent zero vectors. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### How was this tested? - \`go build ./internal/entity/models/...\` in a clean go 1.25 image returns exit 0. - The full method set on \`LmStudioModel\` still matches the \`ModelDriver\` interface. - Pattern parity with the merged Aliyun Encode (#14647), the in-flight Ollama Encode (#14664) and vLLM Encode (#14688), and the existing SiliconFlow Encode. Closes #14693 2026-05-11 06:55:57 +02:00			`"models": "models",`
			`"embedding": "embeddings"`
Go: implement provider: lm-studio (#14586) ### What problem does this PR solve? implement `lm-studio` provider ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring 2026-05-06 19:23:11 +08:00			`},`
			`"class": "local"`
			`}`