AsyncAPI 2.6 description of SUTRA's **chat completion streaming** surface. Two AI (Numeric) does not publish a WebSocket API for SUTRA. The only asynchronous / event-style transport documented at https://docs.two.ai/docs/getting-started and the SUTRA-V2 guide is **HTTP Server-Sent Events (SSE)** delivered over the same OpenAI-compatible REST endpoint (`POST /chat/completions`) when the request body sets `stream: true`. The docs instruct clients to send an `Accept: text/event-stream` header when streaming. SSE is a one-way, server-to-client HTTP streaming channel; it is **not** WebSocket. This AsyncAPI document models only the streamed events emitted by SUTRA's SSE response. The request body itself (model, messages, max_tokens, temperature, presence_penalty, stream) is modeled in the companion OpenAPI document at `openapi/sutra-ai-openapi.yml`.
Subscribe to streamed chat completion chunks (SSE).
Chat completion SSE stream. The client opens this channel by issuing `POST /chat/completions` with `Content-Type: application/json`, `Accept: text/event-stream`, and a JSON body containing `stream: true`. The server responds with `Content-Type: text/event-stream` and emits a sequence of `data:` lines, each carrying one JSON-serialized `chat.completion.chunk` object, followed by a final `data: [DONE]` line.
Messages
✉
ChatCompletionChunk
Streamed chat completion chunk
A single SSE `data:` event carrying one JSON `chat.completion.chunk` object. Many of these are emitted per request, in order.
✉
StreamDone
Stream terminator
The literal SSE event `data: [DONE]` that marks end of stream. Not JSON; the payload is the string `[DONE]`.
Servers
https
sutraapi.two.ai/v2
SUTRA's OpenAI-compatible REST base (also documented as api.numeric.tech/v2). Chat completion streaming is delivered as HTTP Server-Sent Events over this base when `stream: true` is set on the JSON request body. AsyncAPI 2.6 does not define a dedicated SSE protocol identifier; `https` is used here and the SSE transport is documented in `info.x-transport-notes` and on each channel.
asyncapi: '2.6.0'
id: 'urn:ai:two:sutra:v2:chat-completions:sse'
info:
title: SUTRA Chat Completions Streaming (HTTP + SSE)
version: '1.0.0'
description: |
AsyncAPI 2.6 description of SUTRA's **chat completion streaming** surface.
Two AI (Numeric) does not publish a WebSocket API for SUTRA. The only
asynchronous / event-style transport documented at
https://docs.two.ai/docs/getting-started and the SUTRA-V2 guide is **HTTP
Server-Sent Events (SSE)** delivered over the same OpenAI-compatible REST
endpoint (`POST /chat/completions`) when the request body sets
`stream: true`. The docs instruct clients to send an
`Accept: text/event-stream` header when streaming. SSE is a one-way,
server-to-client HTTP streaming channel; it is **not** WebSocket.
This AsyncAPI document models only the streamed events emitted by SUTRA's
SSE response. The request body itself (model, messages, max_tokens,
temperature, presence_penalty, stream) is modeled in the companion OpenAPI
document at `openapi/sutra-ai-openapi.yml`.
contact:
name: API Evangelist
email: kin@apievangelist.com
url: https://apievangelist.com
license:
name: API documentation - Two AI
url: https://www.two.ai
x-transport-notes:
transport: HTTP Server-Sent Events (SSE)
protocol: https
direction: server-to-client (one-way)
mediaType: text/event-stream
triggeredBy: 'POST https://api.two.ai/v2/chat/completions with request body { "stream": true }'
terminator: 'data: [DONE]'
notWebSocket: true
source: https://docs.two.ai/docs/getting-started
defaultContentType: text/event-stream
servers:
sutra:
url: api.two.ai/v2
protocol: https
description: |
SUTRA's OpenAI-compatible REST base (also documented as
api.numeric.tech/v2). Chat completion streaming is delivered as HTTP
Server-Sent Events over this base when `stream: true` is set on the JSON
request body. AsyncAPI 2.6 does not define a dedicated SSE protocol
identifier; `https` is used here and the SSE transport is documented in
`info.x-transport-notes` and on each channel.
security:
- bearerAuth: []
channels:
/chat/completions:
description: |
Chat completion SSE stream. The client opens this channel by issuing
`POST /chat/completions` with `Content-Type: application/json`,
`Accept: text/event-stream`, and a JSON body containing `stream: true`.
The server responds with `Content-Type: text/event-stream` and emits a
sequence of `data:` lines, each carrying one JSON-serialized
`chat.completion.chunk` object, followed by a final `data: [DONE]` line.
bindings:
http:
type: request
method: POST
bindingVersion: '0.3.0'
x-sse:
mediaType: text/event-stream
eventField: 'data'
terminator: '[DONE]'
subscribe:
operationId: streamChatCompletionChunks
summary: Subscribe to streamed chat completion chunks (SSE).
description: |
After `POST /chat/completions` is issued with `stream: true`, the
server emits an ordered sequence of SSE `data:` events. Each `data:`
line either carries a JSON-serialized `ChatCompletionChunk` or the
literal sentinel `[DONE]` marking end of stream.
bindings:
http:
type: response
bindingVersion: '0.3.0'
message:
oneOf:
- $ref: '#/components/messages/ChatCompletionChunk'
- $ref: '#/components/messages/StreamDone'
components:
securitySchemes:
bearerAuth:
type: http
scheme: bearer
bearerFormat: 'SUTRA API key'
description: |
SUTRA bearer token. Set the `Authorization: Bearer <YOUR_SUTRA_API_KEY>`
header on the `POST /chat/completions` request that opens the SSE
stream.
messages:
ChatCompletionChunk:
name: ChatCompletionChunk
title: Streamed chat completion chunk
summary: |
A single SSE `data:` event carrying one JSON `chat.completion.chunk`
object. Many of these are emitted per request, in order.
contentType: application/json
description: |
Sent as `data: {json}\n\n` on the SSE stream. The JSON object's
`object` field is always the literal string `chat.completion.chunk`.
Shape follows the OpenAI-compatible streaming response that SUTRA
implements.
payload:
$ref: '#/components/schemas/ChatCompletionChunk'
examples:
- name: openingChunk
summary: First chunk - establishes role
payload:
id: chatcmpl-abc123
object: chat.completion.chunk
created: 1750464000
model: sutra-v2
choices:
- index: 0
delta:
role: assistant
content: ''
finish_reason: null
- name: contentChunk
summary: Token delta
payload:
id: chatcmpl-abc123
object: chat.completion.chunk
created: 1750464000
model: sutra-v2
choices:
- index: 0
delta:
content: 'नमस्ते'
finish_reason: null
- name: finalChunk
summary: Final chunk - finish_reason set
payload:
id: chatcmpl-abc123
object: chat.completion.chunk
created: 1750464000
model: sutra-v2
choices:
- index: 0
delta: {}
finish_reason: stop
StreamDone:
name: StreamDone
title: Stream terminator
summary: |
The literal SSE event `data: [DONE]` that marks end of stream. Not
JSON; the payload is the string `[DONE]`.
contentType: text/plain
description: |
Clients must stop reading the stream when this sentinel is observed.
payload:
$ref: '#/components/schemas/StreamDoneSentinel'
examples:
- name: done
summary: End-of-stream sentinel
payload: '[DONE]'
schemas:
StreamDoneSentinel:
type: string
enum:
- '[DONE]'
description: |
End-of-stream sentinel. The full SSE line is `data: [DONE]`. The
payload value modeled here is the string literal `[DONE]`.
ChatCompletionChunk:
type: object
description: |
Represents a streamed chunk of a chat completion response (OpenAI
compatible).
required:
- choices
- created
- id
- model
- object
properties:
id:
type: string
description: A unique identifier for the chat completion. Each chunk has the same ID.
choices:
type: array
description: A list of chat completion choices.
items:
$ref: '#/components/schemas/ChatCompletionChunkChoice'
created:
type: integer
description: Unix timestamp (seconds) of when the chat completion was created.
model:
type: string
description: The model used to generate the completion (e.g. sutra-v2, sutra-r0).
object:
type: string
enum:
- chat.completion.chunk
description: The object type, which is always `chat.completion.chunk`.
ChatCompletionChunkChoice:
type: object
required:
- delta
- finish_reason
- index
properties:
index:
type: integer
description: The index of the choice in the list of choices.
delta:
$ref: '#/components/schemas/ChatCompletionStreamResponseDelta'
finish_reason:
type: string
nullable: true
enum:
- stop
- length
description: |
Reason the model stopped generating tokens. `stop` for natural
stop; `length` if `max_tokens` was reached. Null on all chunks
except the final chunk.
ChatCompletionStreamResponseDelta:
type: object
description: A chat completion delta generated by streamed model responses.
properties:
role:
type: string
enum:
- system
- user
- assistant
description: Role of the author of this message. Typically only emitted on the first chunk.
content:
type: string
nullable: true
description: The contents of the chunk message (token slice).