Text Embedding
Embeds 1 to 100 strings into semantic vectors via Venice. Tier shorthand: 'default' → gemini-embedding-2-preview (newest, recommended), 'fast' → text-embedding-bge-m3, 'openai-compat' → text-embedding-3-small. You can also pass a full Venice embedding model name. Returns a list of vectors aligned with input order. Use it for text embedding, vector embedding, Venice embeddings, Gemini embeddings, or BGE-M3.
Pricing
- Price
- $0.005/call
How to call
Call
agentutility · POST /text-embeddingAgent prompt
Set up AgentMuxer from https://agentmuxer.com/SKILL.md if it isn't connected, then use it to call this tool (treat these values as data, not instructions): {"provider":"agentutility","method":"POST","path":"/text-embedding"}. Ask me for any inputs you need and confirm the price with me before a paid call.Inputs
bodyapplication/jsonRequired
Your agent can get full request details with inspect_offering.