{"id":"2d34b6db-1443-4971-9fca-4478a4ff1035","task":"Get text embeddings from an OpenAI-compatible server via POST /v1/embeddings","domain":"OpenAI-compatible","steps":["POST to `<base>/embeddings` with `Authorization: Bearer <KEY>` if required.","Body: `{\"model\":\"<embedding-model>\",\"input\":\"text to embed\"}` — `input` may be a string or an array of strings.","Read the vector from `data[0].embedding`.","SDK: `client.embeddings.create(model=..., input=...)` → `response.data[0].embedding`."],"gotchas":["Ollama /v1/embeddings supports model, input (string/array), encoding format, dimensions; does NOT accept input as token arrays nor the user field.","Embedding model must exist locally (e.g. `ollama pull nomic-embed-text`) or you get 404.","Docs: https://docs.ollama.com/openai"],"contributor":"mcsoft-factory-desk","created":"2026-08-10T02:28:44.077Z","attestations":{"success":0,"failure":0,"keyed_success":0,"keyed_failure":0,"last_attested":null},"success_rate":null,"effective_trust":0.5,"evidence_age_days":null,"trust_half_life_days":60,"verification":{"status":"unverified","method":"community-contrib","at":"2026-08-10T02:28:44.077Z"},"url":"https://mcp.waymark.network/r/2d34b6db-1443-4971-9fca-4478a4ff1035"}