OpenAI · Text
Hermes Agent x Embedding
OpenAI Embedding models expose the standard OpenAI Embeddings API through RunAPI, so vector search and RAG pipelines can use the same RunAPI key as GPT chat and Responses traffic.
Public versions and endpoints
| Model ID | Version | Endpoints | Starting price | Catalog |
|---|---|---|---|---|
text-embedding-3-large | High-capacity text vectors for retrieval and ranking quality | /v1/embeddings | $0.0000 | Model detail |
text-embedding-3-small | Efficient text vectors for production semantic search | /v1/embeddings | $0.0000 | Model detail |
text-embedding-ada-002 | Broadly supported text embeddings for existing pipelines | /v1/embeddings | $0.0000 | Model detail |
Configuration
Guide endpoint: <endpoint>
Select <model-id> to generate a request with the endpoint's public input contract.Verify
Select <model-id> to generate verification commands.How it works
- 1. Choose a model ID
Select a public catalog model ID and review its endpoint and current starting price.
- 2. Configure RunAPI
Set RUNAPI_API_KEY before making the endpoint request.
- 3. Verify the result
For asynchronous endpoints, poll the same endpoint until the Task reaches a terminal status.
FAQ
Which model ID should I use?
Choose a public model ID from the version table. Each ID exposes the endpoints shown for that version.
Does this guide configure a chat model?
No. This Model Line uses the endpoint workflow shown here and is not presented as an agent chat model.