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llmo-api.yaml
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1746 lines (1706 loc) · 55.6 KB
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llmo-sheet-data:
parameters:
- $ref: './parameters.yaml#/siteId'
- name: dataSource
in: path
required: true
description: The data source identifier to fetch from the external endpoint
schema:
type: string
example: 'questions'
get:
tags:
- llmo
summary: Get LLMO sheet data
description: |
Retrieves data from the external LLMO data endpoint for a specific site.
This endpoint proxies data from the external HLX API based on the site's LLMO configuration.
operationId: getLlmoSheetData
responses:
'200':
description: LLMO sheet data retrieved successfully
content:
application/json:
schema:
type: object
description: The data returned from the external LLMO endpoint
additionalProperties: true
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
post:
tags:
- llmo
summary: Query LLMO sheet data with filters, exclusions, and grouping
description: |
Retrieves and processes data from the external LLMO data endpoint for a specific site with advanced querying capabilities.
This endpoint allows filtering data with case-insensitive exact matching, excluding specific fields from the response,
and grouping data by specified attributes. The endpoint fetches all available data (up to 1M records) to apply
the query operations effectively.
operationId: queryLlmoSheetData
requestBody:
required: false
content:
application/json:
schema:
$ref: './schemas.yaml#/LlmoSheetDataQuery'
responses:
'200':
description: LLMO sheet data queried and processed successfully
content:
application/json:
schema:
type: object
description: The processed data returned from the external LLMO endpoint after applying filters, exclusions, and grouping
additionalProperties: true
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-sheet-data-with-type:
parameters:
- $ref: './parameters.yaml#/siteId'
- name: sheetType
in: path
required: true
description: The sheet type identifier to fetch from the external endpoint
schema:
type: string
example: 'analytics'
- name: dataSource
in: path
required: true
description: The data source identifier to fetch from the external endpoint
schema:
type: string
example: 'questions'
get:
tags:
- llmo
summary: Get LLMO sheet data with sheet type
description: |
Retrieves data from the external LLMO data endpoint for a specific site with a specified sheet type.
This endpoint proxies data from the external HLX API based on the site's LLMO configuration.
The data is fetched from the path: {dataFolder}/{sheetType}/{dataSource}.json
operationId: getLlmoSheetDataWithType
responses:
'200':
description: LLMO sheet data retrieved successfully
content:
application/json:
schema:
type: object
description: The data returned from the external LLMO endpoint
additionalProperties: true
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
post:
tags:
- llmo
summary: Query LLMO sheet data with sheet type using filters, exclusions, and grouping
description: |
Retrieves and processes data from the external LLMO data endpoint for a specific site with a specified sheet type
and advanced querying capabilities. This endpoint allows filtering data with case-insensitive exact matching,
excluding specific fields from the response, and grouping data by specified attributes.
The data is fetched from the path: {dataFolder}/{sheetType}/{dataSource}.json
The endpoint fetches all available data (up to 1M records) to apply the query operations effectively.
operationId: queryLlmoSheetDataWithType
requestBody:
required: false
content:
application/json:
schema:
$ref: './schemas.yaml#/LlmoSheetDataQuery'
responses:
'200':
description: LLMO sheet data queried and processed successfully
content:
application/json:
schema:
type: object
description: The processed data returned from the external LLMO endpoint after applying filters, exclusions, and grouping
additionalProperties: true
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-sheet-data-with-type-and-week:
parameters:
- $ref: './parameters.yaml#/siteId'
- name: sheetType
in: path
required: true
description: The sheet type identifier to fetch from the external endpoint
schema:
type: string
example: 'analytics'
- name: week
in: path
required: true
description: The week identifier (e.g., w01, w02) to fetch time-series data
schema:
type: string
pattern: '^w\d{2}$'
example: 'w01'
- name: dataSource
in: path
required: true
description: The data source identifier to fetch from the external endpoint
schema:
type: string
example: 'questions'
get:
tags:
- llmo
summary: Get LLMO sheet data with sheet type and week
description: |
Retrieves data from the external LLMO data endpoint for a specific site with a specified sheet type and week.
This endpoint proxies data from the external HLX API based on the site's LLMO configuration.
The data is fetched from the path: {dataFolder}/{sheetType}/{week}/{dataSource}.json
This is useful for fetching time-series data organized by week.
operationId: getLlmoSheetDataWithTypeAndWeek
responses:
'200':
description: LLMO sheet data retrieved successfully
content:
application/json:
schema:
type: object
description: The data returned from the external LLMO endpoint
additionalProperties: true
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
post:
tags:
- llmo
summary: Query LLMO sheet data with sheet type and week using filters, exclusions, and grouping
description: |
Retrieves and processes data from the external LLMO data endpoint for a specific site with a specified sheet type,
week, and advanced querying capabilities. This endpoint allows filtering data with case-insensitive exact matching,
excluding specific fields from the response, and grouping data by specified attributes.
The data is fetched from the path: {dataFolder}/{sheetType}/{week}/{dataSource}.json
The endpoint fetches all available data (up to 1M records) to apply the query operations effectively.
This is useful for fetching and analyzing time-series data organized by week.
operationId: queryLlmoSheetDataWithTypeAndWeek
requestBody:
required: false
content:
application/json:
schema:
$ref: './schemas.yaml#/LlmoSheetDataQuery'
responses:
'200':
description: LLMO sheet data queried and processed successfully
content:
application/json:
schema:
type: object
description: The processed data returned from the external LLMO endpoint after applying filters, exclusions, and grouping
additionalProperties: true
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-data:
parameters:
- $ref: './parameters.yaml#/siteId'
- name: file
in: query
required: false
description: One or more file paths to fetch (comma-separated or multiple query params). Used for multi-file mode when no path parameters are provided.
schema:
type: string
example: 'analytics/questions.json,analytics/answers.json'
- name: filter.*
in: query
required: false
description: Filter results by field values (e.g., filter.status=active, filter.category=cat1). Multiple filters are ANDed together with case-insensitive exact matching.
schema:
type: string
- name: include
in: query
required: false
description: Comma-separated list of fields to include in the response
schema:
type: string
example: 'field1,field2,field3'
- name: sort
in: query
required: false
description: Sort results by field in ascending or descending order (format - field:asc or field:desc)
schema:
type: string
example: 'date:desc'
- name: sheets
in: query
required: false
description: Comma-separated list of sheet names to include (for multi-sheet data)
schema:
type: string
example: 'sheet1,sheet2'
- name: limit
in: query
required: false
description: Maximum number of records to return
schema:
type: integer
default: 10000000
- name: offset
in: query
required: false
description: Number of records to skip
schema:
type: integer
default: 0
- name: sheet
in: query
required: false
description: Specific sheet name to fetch from the data source
schema:
type: string
get:
tags:
- llmo
summary: Query LLMO data files with filters and sorting
description: |
Retrieves and processes data from the external LLMO data endpoint with advanced querying capabilities via URL parameters.
This endpoint supports two modes:
**Multi-file mode**: Use the `file` query parameter to fetch multiple files at once (up to 7 concurrent requests).
Each file is processed independently and returned in a results array.
**Single-file mode**: The endpoint will look for dataSource in the path and fetch that specific file.
Query parameters allow filtering, field inclusion, sorting, and sheet selection. This is an optimized
alternative to the POST endpoints that uses GET requests with URL parameters for caching and simplicity.
operationId: queryLlmoData
responses:
'200':
description: LLMO data queried and processed successfully
content:
application/json:
schema:
oneOf:
- type: object
description: Single file response with processed data
properties:
data:
type: object
description: The processed data
headers:
type: object
description: Response headers from upstream
- type: array
description: Multi-file response with array of results
items:
type: object
properties:
path:
type: string
description: The file path that was fetched
status:
type: string
enum: [success, error]
description: The status of the fetch operation
data:
type: object
description: The processed data (only present if status is success)
error:
type: string
description: Error message (only present if status is error)
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-data-with-datasource:
parameters:
- $ref: './parameters.yaml#/siteId'
- name: dataSource
in: path
required: true
description: The data source identifier to fetch from the external endpoint
schema:
type: string
example: 'questions.json'
- name: filter.*
in: query
required: false
description: Filter results by field values (e.g., filter.status=active)
schema:
type: string
- name: include
in: query
required: false
description: Comma-separated list of fields to include in the response
schema:
type: string
- name: sort
in: query
required: false
description: Sort results by field (format - field:asc or field:desc)
schema:
type: string
- name: sheets
in: query
required: false
description: Comma-separated list of sheet names to include
schema:
type: string
- name: limit
in: query
required: false
description: Maximum number of records to return
schema:
type: integer
- name: offset
in: query
required: false
description: Number of records to skip
schema:
type: integer
- name: sheet
in: query
required: false
description: Specific sheet name to fetch from the data source
schema:
type: string
get:
tags:
- llmo
summary: Query LLMO data for a specific data source
description: |
Retrieves and processes data from a specific data source file with query parameters for filtering,
field inclusion, sorting, and sheet selection. The data is fetched from {dataFolder}/{dataSource}.
operationId: queryLlmoDataWithSource
responses:
'200':
description: LLMO data queried successfully
content:
application/json:
schema:
type: object
properties:
data:
type: object
description: The processed data
headers:
type: object
description: Response headers
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-data-with-type:
parameters:
- $ref: './parameters.yaml#/siteId'
- name: sheetType
in: path
required: true
description: The sheet type identifier
schema:
type: string
example: 'analytics'
- name: dataSource
in: path
required: true
description: The data source identifier to fetch from the external endpoint
schema:
type: string
example: 'questions.json'
- name: filter.*
in: query
required: false
description: Filter results by field values
schema:
type: string
- name: include
in: query
required: false
description: Comma-separated list of fields to include
schema:
type: string
- name: sort
in: query
required: false
description: Sort results by field
schema:
type: string
- name: sheets
in: query
required: false
description: Comma-separated list of sheet names to include
schema:
type: string
- name: limit
in: query
required: false
description: Maximum number of records to return
schema:
type: integer
- name: offset
in: query
required: false
description: Number of records to skip
schema:
type: integer
- name: sheet
in: query
required: false
description: Specific sheet name to fetch
schema:
type: string
get:
tags:
- llmo
summary: Query LLMO data with sheet type
description: |
Retrieves and processes data with a specified sheet type. The data is fetched from
{dataFolder}/{sheetType}/{dataSource}. Supports query parameters for filtering, sorting, and field selection.
operationId: queryLlmoDataWithType
responses:
'200':
description: LLMO data queried successfully
content:
application/json:
schema:
type: object
properties:
data:
type: object
headers:
type: object
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-data-with-type-and-week:
parameters:
- $ref: './parameters.yaml#/siteId'
- name: sheetType
in: path
required: true
description: The sheet type identifier
schema:
type: string
example: 'analytics'
- name: week
in: path
required: true
description: The week identifier (e.g., w01, w02)
schema:
type: string
pattern: '^w\d{2}$'
example: 'w01'
- name: dataSource
in: path
required: true
description: The data source identifier
schema:
type: string
example: 'questions.json'
- name: filter.*
in: query
required: false
description: Filter results by field values
schema:
type: string
- name: include
in: query
required: false
description: Comma-separated list of fields to include
schema:
type: string
- name: sort
in: query
required: false
description: Sort results by field
schema:
type: string
- name: sheets
in: query
required: false
description: Comma-separated list of sheet names to include
schema:
type: string
- name: limit
in: query
required: false
description: Maximum number of records to return
schema:
type: integer
- name: offset
in: query
required: false
description: Number of records to skip
schema:
type: integer
- name: sheet
in: query
required: false
description: Specific sheet name to fetch
schema:
type: string
get:
tags:
- llmo
summary: Query LLMO data with sheet type and week
description: |
Retrieves and processes time-series data with a specified sheet type and week. The data is fetched from
{dataFolder}/{sheetType}/{week}/{dataSource}. Supports query parameters for filtering, sorting, and field selection.
operationId: queryLlmoDataWithTypeAndWeek
responses:
'200':
description: LLMO data queried successfully
content:
application/json:
schema:
type: object
properties:
data:
type: object
headers:
type: object
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-global-sheet-data:
parameters:
- $ref: './parameters.yaml#/siteId'
- name: configName
in: path
required: true
description: The data source identifier to fetch from the external endpoint
schema:
type: string
example: 'questions'
get:
tags:
- llmo
summary: Get LLMO global sheet data
description: |
Retrieves data from the external LLMO global data endpoint for a specific site.
This endpoint proxies data from the external HLX API using the global 'llmo-global' folder,
independent of the site's LLMO configuration dataFolder.
operationId: getLlmoGlobalSheetData
responses:
'200':
description: LLMO global sheet data retrieved successfully
content:
application/json:
schema:
type: object
description: The data returned from the external LLMO endpoint
additionalProperties: true
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-config:
parameters:
- $ref: './parameters.yaml#/siteId'
- $ref: './parameters.yaml#/llmoConfigVersion'
get:
tags:
- llmo
summary: Get LLMO configuration
description: |
Retrieves the LLMO (Large Language Model Optimizer) configuration for a specific site.
This endpoint retrieves the configuration directly from S3 storage. The configuration
includes entities (categories, topics, aiTopics), brand aliases, and competitor information.
Categories may include optional URLs for content matching.
If a version parameter is provided, the specific version of the configuration will be
retrieved. If the version does not exist, a 404 error will be returned. If no version
is provided, the latest version will be returned, or a default configuration if none
exists.
operationId: getLlmoConfig
responses:
'200':
description: LLMO configuration retrieved successfully
content:
application/json:
schema:
type: object
properties:
config:
$ref: './schemas.yaml#/LlmoConfig'
version:
oneOf:
- type: string
example: "abc123def456"
- type: "null"
description: The S3 object version ID of the configuration, or null if default configuration is returned
required:
- config
- version
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'404':
$ref: './responses.yaml#/404-configuration-not-found-with-version'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
post:
tags:
- llmo
summary: Update LLMO configuration
description: |
Updates the LLMO (Large Language Model Optimizer) configuration for a specific site.
This operation completely overwrites the existing configuration with the provided payload.
The payload is validated against the LLMO configuration schema before being stored in S3.
The configuration must include entities, brands, and competitors sections.
Categories can optionally include URLs that can be either exact URLs or URL prefixes
(ending with /*) to match against specific content areas.
operationId: postLlmoConfig
requestBody:
required: true
content:
application/json:
schema:
$ref: './schemas.yaml#/LlmoConfig'
responses:
'200':
description: LLMO configuration updated successfully
content:
application/json:
schema:
type: object
properties:
version:
type: string
description: The S3 object version ID of the updated configuration
example: "abc123def456"
required:
- version
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-onboard:
post:
tags:
- llmo
summary: Onboard new customer to LLMO
description: |
Onboards a net new customer to LLMO (Large Language Model Optimizer).
This endpoint handles the complete onboarding process including organization validation,
site creation/validation, LLMO configuration setup, and initial analysis trigger.
The IMS Organization ID is automatically extracted from the user's JWT token (sub property).
operationId: onboardCustomer
requestBody:
required: true
content:
application/json:
schema:
type: object
properties:
domain:
type: string
format: hostname
description: The domain name to onboard (without protocol)
example: "example.com"
brandName:
type: string
description: The brand name for the site
example: "Example Brand"
required:
- domain
- brandName
responses:
'200':
description: LLMO onboarding initiated successfully
content:
application/json:
schema:
type: object
properties:
message:
type: string
description: Success message
example: "LLMO onboarding initiated successfully"
domain:
type: string
format: hostname
description: The domain name
example: "example.com"
brandName:
type: string
description: The brand name
example: "Example Brand"
imsOrgId:
type: string
description: The IMS Organization ID
example: "1234567890ABCDEF@AdobeOrg"
organizationId:
type: string
format: uuid
description: The organization ID (created or existing)
example: "123e4567-e89b-12d3-a456-426614174000"
siteId:
type: string
format: uuid
description: The created or existing site ID
example: "987fcdeb-51a2-43d1-9f12-345678901234"
status:
type: string
enum: ["initiated", "in_progress", "completed", "failed"]
description: The onboarding status
example: "initiated"
createdAt:
type: string
format: date-time
description: The timestamp when onboarding was initiated
example: "2025-01-15T10:30:00Z"
required:
- message
- domain
- brandName
- imsOrgId
- status
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'403':
$ref: './responses.yaml#/403'
'500':
$ref: './responses.yaml#/500'
security: []
llmo-offboard:
parameters:
- $ref: './parameters.yaml#/siteId'
post:
tags:
- llmo
summary: Offboard customer from LLMO
description: |
Offboards a customer from LLMO (Large Language Model Optimizer).
This endpoint handles disabling audits and cleaning up LLMO configuration for a site.
The site must have LLMO enabled and the user must have appropriate permissions.
operationId: offboardCustomer
responses:
'200':
description: LLMO offboarding completed successfully
content:
application/json:
schema:
type: object
properties:
message:
type: string
description: Success message
example: "LLMO offboarding completed successfully"
siteId:
type: string
format: uuid
description: The site ID that was offboarded
example: "987fcdeb-51a2-43d1-9f12-345678901234"
baseURL:
type: string
format: uri
description: The site's base URL
example: "https://example.com"
status:
type: string
enum: ["completed", "failed"]
description: The offboarding status
example: "completed"
completedAt:
type: string
format: date-time
description: The timestamp when offboarding was completed
example: "2025-01-15T10:30:00Z"
required:
- message
- siteId
- status
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'403':
$ref: './responses.yaml#/403'
'404':
$ref: './responses.yaml#/404'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-questions:
parameters:
- $ref: './parameters.yaml#/siteId'
get:
tags:
- llmo
summary: Get LLMO questions
description: |
Retrieves all LLMO questions (both human and AI) for a specific site.
Returns an object with Human and AI question arrays.
operationId: getLlmoQuestions
responses:
'200':
description: LLMO questions retrieved successfully
content:
application/json:
schema:
$ref: './schemas.yaml#/LlmoQuestions'
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
post:
tags:
- llmo
summary: Add LLMO questions
description: |
Adds new questions to the LLMO configuration for a specific site.
Questions can be added to both Human and AI categories.
operationId: addLlmoQuestion
requestBody:
required: true
content:
application/json:
schema:
$ref: './schemas.yaml#/LlmoQuestionsInput'
responses:
'200':
description: LLMO questions added successfully
content:
application/json:
schema:
$ref: './schemas.yaml#/LlmoQuestions'
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
llmo-question:
parameters:
- $ref: './parameters.yaml#/siteId'
- name: questionKey
in: path
required: true
description: The unique key of the question to modify
schema:
type: string
format: uuid
example: '123e4567-e89b-12d3-a456-426614174000'
delete:
tags:
- llmo
summary: Remove LLMO question
description: |
Removes a specific question from the LLMO configuration by its unique key.
The question can be from either Human or AI categories.
operationId: removeLlmoQuestion
responses:
'200':
description: LLMO question removed successfully
content:
application/json:
schema:
$ref: './schemas.yaml#/LlmoQuestions'
'400':
$ref: './responses.yaml#/400'
'401':
$ref: './responses.yaml#/401'
'500':
$ref: './responses.yaml#/500'
security:
- api_key: [ ]
patch:
tags:
- llmo
summary: Update LLMO question
description: |
Updates a specific question in the LLMO configuration by its unique key.
The question can be from either Human or AI categories.
operationId: patchLlmoQuestion
requestBody:
required: true
content:
application/json:
schema: