StakPak Chat Completions API
The Chat Completions API from StakPak — 2 operation(s) for chat completions.
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OpenAPI Specification
openapi: 3.2.0
info:
title: Stakpak Chat API
description: API for the Stakpak platform
license:
name: ''
version: 1.0.0
servers:
- url: https://apiv2.stakpak.dev
description: Production server
- url: http://localhost:4000
description: Local server
tags:
- name: Chat Completions
paths:
/v1/chat/completions:
post:
tags:
- Chat Completions
summary: OpenAI-compatible Chat Completion API
description: 'This endpoint provides OpenAI-compatible chat completions using stakai for inference.
Model format: `provider/model` (e.g., `anthropic/claude-sonnet-4-5-20250929`)
Supported providers:
- `anthropic`: Claude models
- `openai`: GPT models
- `google`: Gemini models
- `fireworks-ai`: DeepSeek, Qwen, GLM, MiniMax, ERNIE, Kimi models (via Fireworks.ai)
Headers:
- `Authorization`: Bearer token (required)'
operationId: chat_completion_handler
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/ChatCompletionRequest'
required: true
responses:
'200':
description: Chat completion response
'400':
description: ''
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIErrorResponse'
'401':
description: ''
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIErrorResponse'
'429':
description: ''
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIErrorResponse'
'500':
description: ''
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIErrorResponse'
security:
- Api Key: []
/v1/chat/requests/{request_id}/cancel:
post:
tags:
- Chat Completions
summary: Cancel a chat completion request
operationId: cancel_request_handler
parameters:
- name: request_id
in: path
description: Request ID to cancel
required: true
schema:
type: string
responses:
'200':
description: Request cancelled
'404':
description: ''
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIErrorResponse'
security:
- Api Key: []
components:
schemas:
FlowRef:
oneOf:
- type: object
required:
- owner_name
- flow_name
- version_id
- type
properties:
flow_name:
type: string
owner_name:
type: string
type:
type: string
enum:
- Version
version_id:
type: string
- type: object
required:
- owner_name
- flow_name
- tag_name
- type
properties:
flow_name:
type: string
owner_name:
type: string
tag_name:
type: string
type:
type: string
enum:
- Tag
ChatMessage:
type: object
required:
- role
properties:
completed_at:
type:
- integer
- 'null'
format: int64
description: Unix timestamp (ms) when assistant finished generating
content:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/MessageContent'
cost:
type:
- number
- 'null'
format: double
description: Cost in dollars for this message
created_at:
type:
- integer
- 'null'
format: int64
description: Unix timestamp (ms) when message was created/sent
finish_reason:
type:
- string
- 'null'
description: 'Why the model stopped: "stop", "tool_calls", "length", "error"'
id:
type:
- string
- 'null'
description: Unique message identifier
metadata:
description: Plugin extensibility - unstructured metadata
model:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/ModelInfo'
description: Model that generated this message (for assistant messages)
name:
type:
- string
- 'null'
role:
$ref: '#/components/schemas/Role'
tool_call_id:
type:
- string
- 'null'
tool_calls:
type:
- array
- 'null'
items:
$ref: '#/components/schemas/ToolCall'
usage:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/LLMTokenUsage'
FunctionCall:
type: object
required:
- name
- arguments
properties:
arguments:
type: string
name:
type: string
OpenAIErrorResponse:
type: object
description: OpenAI-compatible error response
required:
- error
properties:
error:
$ref: '#/components/schemas/OpenAIError'
ContentPart:
type: object
required:
- type
properties:
image_url:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/ImageUrl'
text:
type:
- string
- 'null'
type:
type: string
OpenAIError:
type: object
description: OpenAI error details
required:
- message
- type
properties:
code:
type:
- string
- 'null'
message:
type: string
param:
type:
- string
- 'null'
type:
type: string
LLMTokenUsage:
type: object
required:
- prompt_tokens
- completion_tokens
- total_tokens
properties:
completion_tokens:
type: integer
format: int32
minimum: 0
prompt_tokens:
type: integer
format: int32
minimum: 0
prompt_tokens_details:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/PromptTokensDetails'
total_tokens:
type: integer
format: int32
minimum: 0
FunctionDefinition:
type: object
required:
- name
- parameters
properties:
description:
type:
- string
- 'null'
name:
type: string
parameters: {}
Role:
type: string
enum:
- system
- developer
- user
- assistant
- tool
Tool:
type: object
required:
- type
- function
properties:
function:
$ref: '#/components/schemas/FunctionDefinition'
type:
type: string
MessageContent:
oneOf:
- type: string
- type: array
items:
$ref: '#/components/schemas/ContentPart'
StopSequence:
oneOf:
- type: string
- type: array
items:
type: string
FunctionChoice:
type: object
required:
- name
properties:
name:
type: string
ResponseFormat:
type: object
required:
- type
properties:
type:
type: string
ChatCompletionContext:
type: object
properties:
flow_ref:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/FlowRef'
scratchpad: {}
ToolCall:
type: object
required:
- id
- type
- function
properties:
function:
$ref: '#/components/schemas/FunctionCall'
id:
type: string
type:
type: string
PromptTokensDetails:
type: object
properties:
cache_read_input_tokens:
type: integer
format: int32
minimum: 0
cache_write_input_tokens:
type: integer
format: int32
minimum: 0
input_tokens:
type: integer
format: int32
minimum: 0
output_tokens:
type: integer
format: int32
minimum: 0
ChatCompletionRequest:
type: object
required:
- model
- messages
properties:
context:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/ChatCompletionContext'
frequency_penalty:
type:
- number
- 'null'
format: float
logit_bias: {}
logprobs:
type:
- boolean
- 'null'
max_tokens:
type:
- integer
- 'null'
format: int32
minimum: 0
messages:
type: array
items:
$ref: '#/components/schemas/ChatMessage'
model:
type: string
n:
type:
- integer
- 'null'
format: int32
minimum: 0
presence_penalty:
type:
- number
- 'null'
format: float
response_format:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/ResponseFormat'
seed:
type:
- integer
- 'null'
format: int64
stop:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/StopSequence'
stream:
type:
- boolean
- 'null'
temperature:
type:
- number
- 'null'
format: float
tool_choice:
oneOf:
- type: 'null'
- $ref: '#/components/schemas/ToolChoice'
tools:
type:
- array
- 'null'
items:
$ref: '#/components/schemas/Tool'
top_p:
type:
- number
- 'null'
format: float
user:
type:
- string
- 'null'
ToolChoice:
oneOf:
- type: string
enum:
- Auto
- type: string
enum:
- Required
- type: object
required:
- Object
properties:
Object:
$ref: '#/components/schemas/ToolChoiceObject'
ToolChoiceObject:
type: object
required:
- type
- function
properties:
function:
$ref: '#/components/schemas/FunctionChoice'
type:
type: string
ImageUrl:
type: object
required:
- url
properties:
detail:
type:
- string
- 'null'
url:
type: string
ModelInfo:
type: object
description: Model information for tracking which model generated a message
required:
- provider
- id
properties:
id:
type: string
description: Model identifier (e.g., "claude-sonnet-4-20250514", "gpt-4")
provider:
type: string
description: Provider name (e.g., "anthropic", "openai")
securitySchemes:
Api_Key:
type: http
scheme: bearer
bearerFormat: JWT
Token:
type: http
scheme: bearer
bearerFormat: JWT
cookie:
type: apiKey
in: cookie
name: .idToken