Codag Internal API

openapi: 3.2.0
info:
  title: infra-logs templater Activate Internal API
  description: Token compression for log streams. POST raw logs, get back templates or capsules.
  version: 0.1.0
servers:
- url: https://api.codag.ai
  description: Base URL declared by the provider in apis.yml (roadmap#122).
tags:
- name: Internal
paths:
  /internal/notifications/run:
    post:
      summary: Internal Notifications Run
      description: 'Secret-gated trigger for the email engine (spike alerts + weekly digest).

        Wire a daily cron to POST here with `X-Cron-Secret`. `dry_run` defaults True

        (computes and returns what it *would* send, emails nobody).'
      operationId: internal_notifications_run_internal_notifications_run_post
      parameters:
      - name: kind
        in: query
        required: false
        schema:
          type: string
          default: all
          title: Kind
      - name: dry_run
        in: query
        required: false
        schema:
          type: boolean
          default: true
          title: Dry Run
      - name: org_id
        in: query
        required: false
        schema:
          anyOf:
          - type: string
          - type: 'null'
          title: Org Id
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                type: object
                additionalProperties: true
                title: Response Internal Notifications Run Internal Notifications Run Post
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      tags:
      - Internal
  /internal/training-pairs/export:
    get:
      summary: Export Training Pairs
      description: 'Secret-gated JSONL export of the frontier distillation corpus

        (`frontier_training_pairs`). A scheduled job snapshots this to the

        `codag-training-data` Modal volume so the LoRA v4 corpus is not captive

        to the prod database. Cursor via `since_id`; rows are append-only.'
      operationId: export_training_pairs_internal_training_pairs_export_get
      parameters:
      - name: since_id
        in: query
        required: false
        schema:
          type: integer
          default: 0
          title: Since Id
      - name: limit
        in: query
        required: false
        schema:
          type: integer
          default: 50000
          title: Limit
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema: {}
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      tags:
      - Internal
components:
  schemas:
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError
    ValidationError:
      properties:
        loc:
          items:
            anyOf:
            - type: string
            - type: integer
          type: array
          title: Location
        msg:
          type: string
          title: Message
        type:
          type: string
          title: Error Type
        input:
          title: Input
        ctx:
          type: object
          title: Context
      type: object
      required:
      - loc
      - msg
      - type
      title: ValidationError