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1242 lines (1160 loc) · 34.8 KB
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openapi: 3.1.0
info:
title: BitRouter API
version: 0.9.0
description: |
The BitRouter API is a modular LLM routing proxy that exposes multiple provider-compatible
API surfaces through a single gateway. Route requests to OpenAI, Anthropic, and Google
models using the native API format of each provider.
## Base URL
```
https://api.bitrouter.ai/v1
```
## Authentication
BitRouter uses the **x402** payment protocol for request authentication and billing.
Include a valid x402 signature with each request. See the
[x402 specification](https://www.x402.org/) for details.
## Multi-Protocol Routing
BitRouter accepts requests in the native format of each supported provider:
- **OpenAI** — `/v1/chat/completions`, `/v1/responses`
- **Anthropic** — `/v1/messages`
- **Google** — `/v1beta/models/{model}:generateContent`
The router resolves the requested model name to a configured upstream provider,
forwards the request, and returns the response in the same provider format.
servers:
- url: https://api.bitrouter.ai/v1
description: Production
tags:
- name: OpenAI Compatible
description: |
OpenAI-format endpoints. Drop-in compatible with the OpenAI API — accepts the same
request schema and returns the same response format.
- name: Anthropic Compatible
description: |
Anthropic-format endpoint. Drop-in compatible with the Anthropic Messages API.
- name: Google Compatible
description: |
Google Generative AI endpoint. Compatible with the Gemini `generateContent` API.
- name: Discovery
description: Model and route listing endpoints for inspecting the router's configuration.
- name: Admin
description: Runtime route management — create, list, and remove routes without restarting the server.
- name: Observability
description: Health checks and metrics.
components:
schemas:
Error:
type: object
properties:
error:
type: object
properties:
code:
type: string
description: Machine-readable error code.
message:
type: string
description: Human-readable error description.
required:
- message
# ── OpenAI Chat Completions ──────────────────────────────
ChatCompletionRequest:
type: object
required:
- model
- messages
properties:
model:
type: string
description: Model ID or route name to use for the completion.
example: gpt-4o
messages:
type: array
description: A list of messages comprising the conversation so far.
items:
$ref: "#/components/schemas/ChatMessage"
temperature:
type: number
description: Sampling temperature (0.0–2.0).
minimum: 0
maximum: 2
top_p:
type: number
description: Nucleus sampling parameter.
minimum: 0
maximum: 1
max_tokens:
type: integer
description: Maximum number of tokens to generate.
max_completion_tokens:
type: integer
description: Maximum number of completion tokens to generate.
stop:
type: array
items:
type: string
description: Sequences where the API will stop generating.
presence_penalty:
type: number
description: Presence penalty (-2.0 to 2.0).
frequency_penalty:
type: number
description: Frequency penalty (-2.0 to 2.0).
seed:
type: integer
description: Seed for deterministic sampling.
stream:
type: boolean
description: Whether to stream partial responses using SSE.
default: false
ChatMessage:
type: object
required:
- role
properties:
role:
type: string
enum:
- system
- user
- assistant
description: The role of the message author.
content:
oneOf:
- type: string
- type: array
items:
$ref: "#/components/schemas/ChatContentPart"
description: The content of the message — either a plain string or an array of content parts.
ChatContentPart:
type: object
required:
- type
- text
properties:
type:
type: string
enum:
- text
text:
type: string
ChatCompletionResponse:
type: object
properties:
id:
type: string
description: A unique identifier for the completion.
object:
type: string
enum:
- chat.completion
created:
type: integer
description: Unix timestamp (seconds) of when the completion was created.
model:
type: string
description: The model used for the completion.
choices:
type: array
items:
$ref: "#/components/schemas/ChatCompletionChoice"
usage:
$ref: "#/components/schemas/ChatCompletionUsage"
ChatCompletionChoice:
type: object
properties:
index:
type: integer
message:
type: object
properties:
role:
type: string
content:
type: string
nullable: true
finish_reason:
type: string
nullable: true
enum:
- stop
- length
ChatCompletionUsage:
type: object
properties:
prompt_tokens:
type: integer
completion_tokens:
type: integer
total_tokens:
type: integer
ChatCompletionChunk:
type: object
description: A single chunk in a streamed chat completion response (SSE `data` payload).
properties:
id:
type: string
object:
type: string
enum:
- chat.completion.chunk
created:
type: integer
model:
type: string
choices:
type: array
items:
$ref: "#/components/schemas/ChatCompletionChunkChoice"
usage:
$ref: "#/components/schemas/ChatCompletionUsage"
ChatCompletionChunkChoice:
type: object
properties:
index:
type: integer
delta:
type: object
properties:
role:
type: string
content:
type: string
finish_reason:
type: string
nullable: true
# ── OpenAI Responses API ─────────────────────────────────
ResponsesRequest:
type: object
required:
- model
- input
properties:
model:
type: string
description: Model ID or route name.
example: gpt-4o
input:
oneOf:
- type: string
- type: array
items:
$ref: "#/components/schemas/ResponsesInputMessage"
description: A text string or an array of input messages.
temperature:
type: number
description: Sampling temperature.
top_p:
type: number
description: Nucleus sampling parameter.
max_output_tokens:
type: integer
description: Maximum number of output tokens.
stream:
type: boolean
description: Whether to stream the response using SSE.
default: false
ResponsesInputMessage:
type: object
required:
- role
properties:
role:
type: string
enum:
- user
- assistant
- system
content:
oneOf:
- type: string
- type: array
items:
$ref: "#/components/schemas/ResponsesInputContentPart"
description: Message content — a string or array of content parts.
ResponsesInputContentPart:
type: object
required:
- type
- text
properties:
type:
type: string
enum:
- input_text
text:
type: string
ResponsesResponse:
type: object
properties:
id:
type: string
object:
type: string
enum:
- response
created_at:
type: integer
description: Unix timestamp (seconds).
model:
type: string
output:
type: array
items:
$ref: "#/components/schemas/ResponsesOutputItem"
usage:
$ref: "#/components/schemas/ResponsesUsage"
status:
type: string
enum:
- completed
ResponsesOutputItem:
type: object
properties:
id:
type: string
type:
type: string
enum:
- message
role:
type: string
content:
type: array
items:
$ref: "#/components/schemas/ResponsesOutputContent"
status:
type: string
ResponsesOutputContent:
type: object
properties:
type:
type: string
enum:
- output_text
text:
type: string
ResponsesUsage:
type: object
properties:
input_tokens:
type: integer
output_tokens:
type: integer
total_tokens:
type: integer
ResponsesStreamEvent:
type: object
description: A single event in a streamed Responses API response (SSE `data` payload).
properties:
type:
type: string
description: Event type (e.g. `response.output_text.delta`, `response.completed`).
item_id:
type: string
output_index:
type: integer
content_index:
type: integer
delta:
type: string
# ── Anthropic Messages ───────────────────────────────────
MessagesRequest:
type: object
required:
- model
- messages
- max_tokens
properties:
model:
type: string
description: Model ID or route name.
example: claude-sonnet-4-20250514
messages:
type: array
description: Input messages.
items:
$ref: "#/components/schemas/AnthropicMessage"
max_tokens:
type: integer
description: The maximum number of tokens to generate before stopping.
system:
type: string
description: System prompt.
temperature:
type: number
description: Sampling temperature (0.0–1.0).
minimum: 0
maximum: 1
top_p:
type: number
description: Nucleus sampling parameter.
top_k:
type: integer
description: Top-K sampling parameter.
stop_sequences:
type: array
items:
type: string
description: Custom stop sequences.
stream:
type: boolean
description: Whether to stream the response using SSE.
default: false
AnthropicMessage:
type: object
required:
- role
properties:
role:
type: string
enum:
- user
- assistant
content:
oneOf:
- type: string
- type: array
items:
$ref: "#/components/schemas/AnthropicContentBlock"
description: Message content — a string or array of content blocks.
AnthropicContentBlock:
type: object
required:
- type
- text
properties:
type:
type: string
enum:
- text
text:
type: string
MessagesResponse:
type: object
properties:
id:
type: string
type:
type: string
enum:
- message
role:
type: string
enum:
- assistant
content:
type: array
items:
$ref: "#/components/schemas/MessagesResponseContent"
model:
type: string
stop_reason:
type: string
nullable: true
enum:
- end_turn
- max_tokens
- stop_sequence
stop_sequence:
type: string
nullable: true
usage:
$ref: "#/components/schemas/MessagesUsage"
MessagesResponseContent:
type: object
properties:
type:
type: string
enum:
- text
text:
type: string
MessagesUsage:
type: object
properties:
input_tokens:
type: integer
output_tokens:
type: integer
MessagesStreamEvent:
type: object
description: A single event in a streamed Anthropic Messages response (SSE `data` payload).
properties:
type:
type: string
description: "Event type: `message_start`, `content_block_delta`, `message_delta`, `message_stop`."
index:
type: integer
delta:
$ref: "#/components/schemas/MessagesStreamDelta"
message:
$ref: "#/components/schemas/MessagesStreamMessage"
MessagesStreamDelta:
type: object
properties:
type:
type: string
text:
type: string
stop_reason:
type: string
MessagesStreamMessage:
type: object
properties:
id:
type: string
model:
type: string
role:
type: string
# ── Google Generative AI ─────────────────────────────────
GenerateContentRequest:
type: object
required:
- model
- contents
properties:
model:
type: string
description: Model ID or route name.
example: gemini-2.0-flash
contents:
type: array
description: The conversation contents.
items:
$ref: "#/components/schemas/GoogleContent"
systemInstruction:
$ref: "#/components/schemas/GoogleSystemInstruction"
generationConfig:
$ref: "#/components/schemas/GoogleGenerationConfig"
stream:
type: boolean
description: Whether to stream the response.
default: false
GoogleContent:
type: object
required:
- role
properties:
role:
type: string
enum:
- user
- model
parts:
type: array
items:
$ref: "#/components/schemas/GooglePart"
GoogleSystemInstruction:
type: object
properties:
parts:
type: array
items:
$ref: "#/components/schemas/GooglePart"
GooglePart:
type: object
properties:
text:
type: string
GoogleGenerationConfig:
type: object
properties:
temperature:
type: number
topP:
type: number
topK:
type: integer
maxOutputTokens:
type: integer
stopSequences:
type: array
items:
type: string
GenerateContentResponse:
type: object
properties:
candidates:
type: array
items:
$ref: "#/components/schemas/GenerateContentCandidate"
usageMetadata:
$ref: "#/components/schemas/GenerateContentUsageMetadata"
modelVersion:
type: string
GenerateContentCandidate:
type: object
properties:
content:
type: object
properties:
role:
type: string
parts:
type: array
items:
$ref: "#/components/schemas/GooglePart"
finishReason:
type: string
index:
type: integer
GenerateContentUsageMetadata:
type: object
properties:
promptTokenCount:
type: integer
candidatesTokenCount:
type: integer
totalTokenCount:
type: integer
GenerateContentStreamChunk:
type: object
description: A single chunk in a streamed Google GenerateContent response.
properties:
candidates:
type: array
items:
type: object
properties:
content:
type: object
properties:
role:
type: string
parts:
type: array
items:
$ref: "#/components/schemas/GooglePart"
finishReason:
type: string
nullable: true
index:
type: integer
usageMetadata:
$ref: "#/components/schemas/GenerateContentUsageMetadata"
modelVersion:
type: string
# ── Discovery ────────────────────────────────────────────
ModelResponse:
type: object
properties:
id:
type: string
description: The upstream model ID.
example: gpt-4o
provider:
type: string
description: The provider that offers this model.
example: openai
name:
type: string
description: Human-readable display name.
description:
type: string
description: Brief description of the model's capabilities.
max_input_tokens:
type: integer
description: Maximum input context window in tokens.
max_output_tokens:
type: integer
description: Maximum number of output tokens.
input_modalities:
type: array
items:
type: string
description: "Input modalities the model accepts (e.g. `text`, `image`)."
output_modalities:
type: array
items:
type: string
description: Output modalities the model can produce.
RouteEntry:
type: object
properties:
model:
type: string
description: The virtual model/route name.
example: default
provider:
type: string
description: The provider this route maps to.
example: openai
protocol:
type: string
description: "The API protocol (`openai`, `anthropic`, `google`)."
example: openai
# ── Admin ────────────────────────────────────────────────
DynamicRoute:
type: object
required:
- model
- endpoints
properties:
model:
type: string
description: The virtual model name to create or update.
example: research
strategy:
type: string
description: Routing strategy across endpoints.
enum:
- priority
- load_balance
default: priority
endpoints:
type: array
minItems: 1
description: One or more upstream endpoints to route to.
items:
$ref: "#/components/schemas/RouteEndpoint"
RouteEndpoint:
type: object
required:
- provider
- model_id
properties:
provider:
type: string
description: Provider name (must exist in config or built-ins).
example: openai
model_id:
type: string
description: The upstream model ID to send to this provider.
example: gpt-4o
AdminRouteListEntry:
type: object
properties:
model:
type: string
description: The virtual model/route name.
strategy:
type: string
nullable: true
description: "Routing strategy (`priority` or `load_balance`). Null for config-defined routes."
endpoints:
type: array
items:
$ref: "#/components/schemas/RouteEndpoint"
source:
type: string
description: "Where this route was defined: `config` or `dynamic`."
enum:
- config
- dynamic
# ── Observability ────────────────────────────────────────
MetricsSnapshot:
type: object
properties:
uptime_seconds:
type: integer
description: Seconds since the metrics collector was created.
routes:
type: object
description: Per-route aggregate metrics keyed by route name.
additionalProperties:
$ref: "#/components/schemas/RouteSnapshot"
RouteSnapshot:
type: object
properties:
total_requests:
type: integer
total_errors:
type: integer
error_rate:
type: number
latency_p50_ms:
type: integer
latency_p99_ms:
type: integer
avg_input_tokens:
type: integer
avg_output_tokens:
type: integer
last_used:
type: integer
description: Unix timestamp (seconds) of the last request on this route.
by_endpoint:
type: object
description: Per-endpoint breakdown within this route.
additionalProperties:
$ref: "#/components/schemas/EndpointSnapshot"
EndpointSnapshot:
type: object
properties:
total_requests:
type: integer
total_errors:
type: integer
latency_p50_ms:
type: integer
latency_p99_ms:
type: integer
paths:
# ── OpenAI Compatible ──────────────────────────────────────
/chat/completions:
post:
operationId: createChatCompletion
summary: Create chat completion
description: |
Creates a chat completion for the given messages. This endpoint is a drop-in
replacement for the OpenAI Chat Completions API — it accepts the same request
schema and returns the same response format, including `usage` with token counts.
The router resolves the requested model to an upstream provider, forwards the
request, and returns the response. Supports both synchronous and streaming modes.
When `stream: true`, the response is sent as Server-Sent Events (SSE) where each
`data` line contains a `ChatCompletionChunk` JSON object. The stream ends with
`data: [DONE]`.
tags:
- OpenAI Compatible
requestBody:
required: true
content:
application/json:
schema:
$ref: "#/components/schemas/ChatCompletionRequest"
responses:
"200":
description: Chat completion response (non-streaming).
content:
application/json:
schema:
$ref: "#/components/schemas/ChatCompletionResponse"
text/event-stream:
schema:
$ref: "#/components/schemas/ChatCompletionChunk"
"400":
description: Bad request — invalid model or malformed request body.
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
"404":
description: No route found for the requested model.
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
/responses:
post:
operationId: createResponse
summary: Create response
description: |
Creates a model response using the OpenAI Responses API format. Accepts either a
plain text string or a structured array of input messages.
When `stream: true`, the response is sent as Server-Sent Events (SSE) where each
`data` line contains a `ResponsesStreamEvent` JSON object.
tags:
- OpenAI Compatible
requestBody:
required: true
content:
application/json:
schema:
$ref: "#/components/schemas/ResponsesRequest"
responses:
"200":
description: Response (non-streaming).
content:
application/json:
schema:
$ref: "#/components/schemas/ResponsesResponse"
text/event-stream:
schema:
$ref: "#/components/schemas/ResponsesStreamEvent"
"400":
description: Bad request.
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
"404":
description: No route found for the requested model.
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
# ── Anthropic Compatible ───────────────────────────────────
/messages:
post:
operationId: createMessage
summary: Create message
description: |
Creates a message using the Anthropic Messages API format. Accepts the same
request schema as the Anthropic API and returns the same response format.
When `stream: true`, the response is sent as Server-Sent Events (SSE). Each event
has a `type` field indicating the event kind (`message_start`, `content_block_delta`,
`message_delta`, `message_stop`).
tags:
- Anthropic Compatible
requestBody:
required: true
content:
application/json:
schema:
$ref: "#/components/schemas/MessagesRequest"
responses:
"200":
description: Messages response (non-streaming).
content:
application/json:
schema:
$ref: "#/components/schemas/MessagesResponse"
text/event-stream:
schema:
$ref: "#/components/schemas/MessagesStreamEvent"
"400":
description: Bad request.
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
"404":
description: No route found for the requested model.
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
# ── Google Compatible ──────────────────────────────────────
/v1beta/models/{model}:generateContent:
post:
operationId: generateContent
summary: Generate content
description: |
Generates content using the Google Generative AI API format. Compatible with
the Gemini `generateContent` endpoint.
When `stream: true`, the response is sent as newline-delimited JSON where each
line contains a `GenerateContentStreamChunk` object.