{"record":{"id":"957d132dc7387891","repo":"sgl-project/sglang","slug":"embed-override-token-id-requires-embed-overrides-t","errorCode":null,"errorMessage":"embed_override_token_id requires embed_overrides to be provided","messagePattern":"embed_override_token_id requires embed_overrides to be provided","errorType":"validation","errorClass":"ValueError","httpStatus":400,"severity":"error","filePath":"python/sglang/srt/entrypoints/openai/serving_embedding.py","lineNumber":165,"sourceCode":"            # Other types (should not happen but handle gracefully)\n            prompt_kwargs = {\"input_ids\": prompt}\n\n        # Resolve LoRA adapter from model parameter or explicit lora_path\n        lora_path = self._resolve_lora_path(request.model, request.lora_path)\n\n        # Validate pairing: both or neither must be provided\n        if (\n            request.embed_overrides is not None\n            and request.embed_override_token_id is None\n        ):\n            raise ValueError(\n                \"embed_override_token_id is required when embed_overrides is provided\"\n            )\n        if (\n            request.embed_override_token_id is not None\n            and request.embed_overrides is None\n        ):\n            raise ValueError(\n                \"embed_override_token_id requires embed_overrides to be provided\"\n            )\n\n        # Convert float lists to tensors; position resolution is deferred\n        # to the tokenizer manager (after tokenization for text inputs).\n        embed_overrides = convert_embeds_to_tensors(request.embed_overrides)\n\n        adapted_request = EmbeddingReqInput(\n            **prompt_kwargs,\n            rid=request.rid,\n            priority=request.priority,\n            routing_key=self.extract_routing_key(raw_request),\n            dimensions=request.dimensions,\n            lora_path=lora_path,\n            embed_override_token_id=request.embed_override_token_id,\n            embed_overrides=embed_overrides,\n        )\n","sourceCodeStart":147,"sourceCodeEnd":183,"githubUrl":"https://github.com/sgl-project/sglang/blob/0132848349585cfe6aae51c4941cbae872505f8a/python/sglang/srt/entrypoints/openai/serving_embedding.py#L147-L183","documentation":"Mirror of the pairing check: the request supplied embed_override_token_id but no embed_overrides list. SGLang requires both or neither, since a token id alone has nothing to attach.","triggerScenarios":"POST /v1/embeddings with embed_override_token_id set and embed_overrides None.","commonSituations":"Leftover token id field after removing overrides; client defaults injecting the id unconditionally.","solutions":["Provide embed_overrides when setting embed_override_token_id","Remove embed_override_token_id if overrides aren't needed"],"exampleFix":"# before\nEmbeddingReqInput(input=\"x\", embed_override_token_id=128000)\n# after\nEmbeddingReqInput(input=\"x\")  # or add embed_overrides=[...]","handlingStrategy":"validation","validationCode":"if req.embed_override_token_id is not None: assert req.embed_overrides is not None","typeGuard":"def overrides_paired(req) -> bool:\n    return (req.embed_overrides is None) == (req.embed_override_token_id is None)","tryCatchPattern":null,"preventionTips":["Remove stale token ids when dropping overrides","Centralize override request building"],"tags":["embeddings","request-validation"],"backgroundTag":"missing-required-parameter","analyzedSha":"0132848349585cfe6aae51c4941cbae872505f8a","analyzedAt":"2026-08-28T05:10:05.995Z","schemaVersion":2},"datasetVersion":"2026-08-28T06:17:29.519Z"}