litellm - 💡(How to fix) Fix EmbeddingResponse(**response_json) fails with `must be a mapping, not list` when using openai_like/lm_studio provider with llama.cpp server [2 pull requests]

File "litellm/llms/openai_like/embedding/handler.py", line 75, in aembedding
    return EmbeddingResponse(**response_json)
TypeError: litellm.types.utils.EmbeddingResponse() argument after ** must be a mapping, not list

---

File "litellm/llms/openai/openai.py", line 1269, in aembedding
    stringified_response = response.model_dump()
AttributeError: 'list' object has no attribute 'model_dump'

---

docker run ghcr.io/ggml-org/llama.cpp:server-vulkan \
  --embeddings --host 0.0.0.0 --port 8080 \
  --hf-repo nomic-ai/nomic-embed-text-v2-moe-GGUF \
  --hf-file nomic-embed-text-v2-moe.Q4_K_M.gguf

---

model_list:
  - model_name: my-embeddings
    litellm_params:
      model: lm_studio/nomic-embed-text-v2-moe
      api_base: http://llamacpp-server:8080
      api_key: dummy

---

curl -X POST http://localhost:4000/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <master_key>" \
  -d '{"model": "my-embeddings", "input": ["hello world"]}'

---

curl -X POST http://localhost:8080/v1/embeddings \
  -H "Content-Type: application/json" \
  -d '{"input": ["hello world"], "model": "nomic-embed-text-v2-moe"}'

---

{
  "model": "nomic-embed-text-v2-moe",
  "object": "list",
  "usage": { "prompt_tokens": 5, "total_tokens": 5 },
  "data": [
    {
      "object": "embedding",
      "embedding": [0.01502, -0.03024, ...],
      "index": 0
    }
  ]
}