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POST
/
langchain
/
v1
/
embeddings
Error
A valid request URL is required to generate request examples
{
  "data": [
    {
      "index": 123,
      "object": "<string>",
      "embedding": "<string>"
    }
  ],
  "model": "<string>",
  "object": "<string>",
  "usage": {
    "prompt_tokens": 123,
    "prompt_tokens_details": {
      "text_tokens": 123,
      "audio_tokens": 123,
      "image_tokens": 123,
      "cached_read_tokens": 123,
      "cached_write_tokens": 123
    },
    "completion_tokens": 123,
    "completion_tokens_details": {
      "text_tokens": 123,
      "accepted_prediction_tokens": 123,
      "audio_tokens": 123,
      "citation_tokens": 123,
      "num_search_queries": 123,
      "reasoning_tokens": 123,
      "image_tokens": 123,
      "rejected_prediction_tokens": 123
    },
    "total_tokens": 123,
    "cost": {
      "input_tokens_cost": 123,
      "output_tokens_cost": 123,
      "reasoning_tokens_cost": 123,
      "citation_tokens_cost": 123,
      "search_queries_cost": 123,
      "request_cost": 123,
      "total_cost": 123
    }
  },
  "extra_fields": {
    "request_type": "<string>",
    "model_requested": "<string>",
    "model_deployment": "<string>",
    "latency": 123,
    "chunk_index": 123,
    "raw_request": {},
    "raw_response": {},
    "cache_debug": {
      "cache_hit": true,
      "cache_id": "<string>",
      "hit_type": "<string>",
      "requested_provider": "<string>",
      "requested_model": "<string>",
      "provider_used": "<string>",
      "model_used": "<string>",
      "input_tokens": 123,
      "threshold": 123,
      "similarity": 123
    }
  }
}

Documentation Index

Fetch the complete documentation index at: https://docs.getbifrost.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

Authorization
string
header
required

Bearer token authentication. Use your provider API key or Bifrost authentication token. Virtual keys (prefixed with sk-bf-) can also be passed here.

Body

application/json
model
string
required

Model identifier

Example:

"text-embedding-3-small"

input
required

Input text to embed

encoding_format
enum<string>
Available options:
float,
base64
dimensions
integer

Number of dimensions for the embedding

user
string
fallbacks
string[]

Response

Successful response

data
object[]
model
string
object
string
usage
object

Token usage information

extra_fields
object

Additional fields included in responses