The Systemone API from LLM Gateway — 1 operation(s) for systemone.
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openapi: 3.2.0
info:
version: 1.0.0
title: LLM Gateway Systemone API
description: 'OpenAI-compatible LLM gateway: chat completions, embeddings, images, audio, video, moderation, OCR, rerank, web search and typed decisions across providers with one API key.'
servers:
- url: https://api.llmgateway.io
- url: http://localhost:4001
tags:
- name: Systemone
paths:
/v1/systemone:
post:
operationId: v1_systemone
summary: System One
description: Evaluate a state against named typed questions and get calibrated yes/no, choice and score answers back. TypeSafe-compatible API, serving TypeSafe models only. To be deprecated soon in favor of the OpenAI-compatible /v1/decisions, which serves every decision model.
security:
- bearerAuth: []
requestBody:
content:
application/json:
schema:
type: object
properties:
model:
type: string
description: ID of the decision model to use. Optionally prefixed with a provider (`typesafe/…`).
example: jev-1.13.0
state:
anyOf:
- type: string
- type: object
additionalProperties: {}
- type: array
items: {}
description: 'The content to evaluate: plain text, or structured data such as a chat log or record.'
example: Our production integration has been returning 500s for 3 days.
questions:
type: object
additionalProperties:
oneOf:
- type: object
properties:
type:
type: string
enum:
- noul
instructions:
anyOf:
- type: string
- type: object
additionalProperties: {}
- type: array
items: {}
description: What the model should decide. An object or array can hold the question in one field and the data it refers to in others.
example: Does this message convey urgency?
criteria:
type: object
properties:
'true':
anyOf:
- type: string
- type: object
additionalProperties: {}
- type: array
items: {}
'false':
anyOf:
- type: string
- type: object
additionalProperties: {}
- type: array
items: {}
description: Optional descriptions of what a yes and a no mean.
required:
- type
- instructions
- type: object
properties:
type:
type: string
enum:
- choice
instructions:
anyOf:
- type: string
- type: object
additionalProperties: {}
- type: array
items: {}
description: What the model should decide. An object or array can hold the question in one field and the data it refers to in others.
example: Does this message convey urgency?
criteria:
type: object
additionalProperties:
anyOf:
- type: string
- type: object
additionalProperties: {}
- type: array
items: {}
- {}
description: Option to rubric description. Use null for an option that needs no detail.
required:
- type
- instructions
- criteria
- type: object
properties:
type:
type: string
enum:
- score
instructions:
anyOf:
- type: string
- type: object
additionalProperties: {}
- type: array
items: {}
description: What the model should decide. An object or array can hold the question in one field and the data it refers to in others.
example: Does this message convey urgency?
criteria:
type: array
items:
anyOf:
- type: string
- type: object
additionalProperties: {}
- type: array
items: {}
minItems: 2
maxItems: 10
description: Ordered level descriptions, lowest first. Two to ten levels.
required:
- type
- instructions
- criteria
description: 'A typed question: `noul` (yes/no probability), `choice` (one option from a set) or `score` (rating across ordered levels).'
description: Questions keyed by an id you choose. Answers come back under the same ids.
required:
- model
- state
- questions
responses:
'200':
description: Typed answers for the submitted questions.
headers:
RateLimit-Policy:
schema:
type: string
description: Quota policy as an HTTP Structured Fields list, e.g. "requests";q=60;w=60.
RateLimit:
schema:
type: string
description: Available quota and reset delay, e.g. "requests";r=59;t=60.
RateLimit-Limit:
schema:
type: string
description: Request limit for the current window.
RateLimit-Remaining:
schema:
type: string
description: Requests remaining in the current window.
RateLimit-Reset:
schema:
type: string
description: Seconds until the current window resets.
content:
application/json:
schema:
type: object
properties:
model:
type: string
answers:
type: object
additionalProperties:
type: object
properties:
type:
type: string
enum:
- noul
- choice
- score
noul:
type: number
description: Yes/no answer from 0 (no) to 1 (yes), on a noul answer.
choice:
type: string
description: Highest-probability option, on a choice answer.
score:
type: number
description: Probability-weighted level, on a score answer. Can land between levels.
legend:
type: object
additionalProperties:
type: string
description: Level index to its description, on a score answer.
probabilities:
type: object
additionalProperties:
type: number
description: Probability per option or level; sums to 1.
confidence:
type: number
description: How certain the model is, derived from the probability distribution.
required:
- type
usage:
type: object
properties:
input_tokens:
type: integer
output_tokens:
type: integer
required:
- model
- answers
description: One typed answer per question, keyed by the question ids.
'400':
description: Invalid request body or parameters.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'401':
description: Missing or invalid API key.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'402':
description: Insufficient credits or plan limits reached.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'403':
description: Forbidden request or upstream response.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'404':
description: Unknown model or upstream not-found response.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'408':
description: Request timeout.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'410':
description: Archived or unavailable project.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'413':
description: Request too large.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'415':
description: Unsupported media type.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'429':
description: Rate limited. Response headers describe only LLMGateway-enforced limits; upstream provider headers are not forwarded. Honor Retry-After when present.
headers:
RateLimit-Policy:
schema:
type: string
description: Quota policy as an HTTP Structured Fields list, e.g. "requests";q=60;w=60.
RateLimit:
schema:
type: string
description: Available quota and reset delay, e.g. "requests";r=59;t=60.
RateLimit-Limit:
schema:
type: string
description: Request limit for the current window.
RateLimit-Remaining:
schema:
type: string
description: Requests remaining in the current window.
RateLimit-Reset:
schema:
type: string
description: Seconds until the current window resets.
Retry-After:
schema:
type: string
description: Seconds to wait before retrying.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'500':
description: Internal server error.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'502':
description: Failed to connect to the upstream provider.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'503':
description: Service unavailable upstream response.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'504':
description: Upstream provider timeout.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'529':
description: Gateway overloaded.
headers:
Retry-After:
schema:
type: string
description: Seconds to wait before retrying.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
tags:
- Systemone
components:
schemas:
OpenAIError:
type: object
properties:
error:
type: object
properties:
message:
type: string
type:
type: string
param:
type:
- string
- 'null'
code:
type:
- string
- 'null'
required:
- message
- type
- param
- code
required:
- error
description: OpenAI-compatible error object.
securitySchemes:
bearerAuth:
type: http
scheme: bearer
description: Bearer token authentication using API keys
externalDocs:
url: https://docs.llmgateway.io
description: LLMGateway Documentation