PREVIEW · COMING SOON

TERAVANO Developer API

Explore the planned API experience for integrating TERAVANO AI capabilities into business applications. The endpoints and responses below are illustrative examples and are not currently live.

Documentation preview

This page demonstrates TERAVANO's planned developer experience. No public API is currently available, and all URLs, credentials, payloads, and responses shown here are non-functional examples.

Overview

Build AI workflows with a clear, consistent interface

The planned TERAVANO API is designed for B2B software teams that need a straightforward way to add text generation, document intelligence, semantic search, and asynchronous AI workflows to their products.

RESTful designPredictable JSON requests and responses.
Secure by defaultAPI-key authentication and scoped access.
Operational visibilityRequest IDs, job states, and structured errors.
Quickstart · illustrative example

Make your first request

The following planned base URL and request are provided only to illustrate the intended integration pattern.

Planned base URLNot live
https://api.teravano.online/v1
cURLExample
curl https://api.teravano.online/v1/responses \
  -H "Authorization: Bearer $TERAVANO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "teravano-text-preview",
    "input": "Summarize the attached customer request."
  }'
Authentication · planned

Authenticate with an API key

When the API becomes available, requests are expected to use a project API key in the Authorization header. Never expose secret keys in browser or mobile client code.

Authorization: Bearer TERAVANO_API_KEY
POST/v1/responses

Generate a response

Illustrates a future endpoint for generating structured text from instructions and business context.

FieldTypeDescription
modelstringPreview model identifier.
inputstringThe instruction or source text.
metadataobjectOptional request metadata.
Example responseIllustrative
{
  "id": "resp_example_01",
  "status": "completed",
  "output_text": "The customer is requesting...",
  "request_id": "req_example_01"
}
POST/v1/embeddings

Create embeddings

Illustrates how text could be converted into vector representations for semantic search and retrieval workflows.

{
  "model": "teravano-embed-preview",
  "input": ["Product documentation", "Support knowledge base"]
}
GET/v1/jobs/{job_id}

Retrieve an asynchronous job

Illustrates a planned status endpoint for longer-running document or data-processing tasks.

{
  "id": "job_example_01",
  "status": "processing",
  "progress": 68
}
Errors · planned

Structured error responses

CodeStatusMeaning
invalid_request400The request could not be validated.
authentication_error401The API key is missing or invalid.
rate_limit_exceeded429The request rate is temporarily too high.
internal_error500An unexpected service error occurred.
Availability

Public access is not yet available

The TERAVANO Developer API is currently a product concept and documentation preview. To discuss a custom AI integration or receive future availability updates, contact our team.

support@teravano.online

Configuration

COLORS
CUSTOM CURSOR