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openapi: "3.1.0"
info:
title: Vectorless API
description: |
Structure-preserving document retrieval API. Ingest documents, build
hierarchical trees, and query them using LLM-driven reasoning — no
embeddings, no chunks, no vectors.
version: "1.0.0"
license:
name: Apache-2.0
url: https://www.apache.org/licenses/LICENSE-2.0
servers:
- url: http://localhost:8080
description: Local development
- url: https://api.vectorless.dev
description: Managed SaaS
security:
- BearerAuth: []
tags:
- name: Documents
description: Document lifecycle — ingest, inspect, list, delete.
- name: Sections
description: Individual document sections.
- name: Query
description: Structure-aware retrieval.
- name: Health
description: Liveness and version.
paths:
/v1/health:
get:
tags: [Health]
summary: Liveness check
operationId: healthCheck
security: []
responses:
"200":
description: Server is healthy
content:
application/json:
schema:
type: object
properties:
status:
type: string
example: ok
/v1/version:
get:
tags: [Health]
summary: Build version
operationId: getVersion
security: []
responses:
"200":
description: Server build version
content:
application/json:
schema:
type: object
properties:
version:
type: string
example: "1.2.3"
/v1/documents:
get:
tags: [Documents]
summary: List documents
operationId: listDocuments
parameters:
- name: limit
in: query
schema:
type: integer
minimum: 1
maximum: 200
default: 50
- name: cursor
in: query
description: RFC 3339 timestamp from previous page's next_cursor
schema:
type: string
- name: status
in: query
schema:
type: string
enum: [pending, parsing, summarizing, ready, failed]
responses:
"200":
description: Paginated document list
content:
application/json:
schema:
type: object
properties:
items:
type: array
items:
$ref: "#/components/schemas/Document"
next_cursor:
type: string
post:
tags: [Documents]
summary: Ingest a document
operationId: createDocument
description: |
Upload a document for ingestion. Accepts multipart/form-data
(field: "file") or JSON body with content. Returns immediately
with a document_id in "pending" state. The ingest pipeline runs
asynchronously: parse → build tree → summarize sections.
requestBody:
required: true
content:
application/json:
schema:
type: object
required: [content]
properties:
filename:
type: string
example: report.md
content_type:
type: string
example: text/markdown
content:
type: string
multipart/form-data:
schema:
type: object
properties:
file:
type: string
format: binary
responses:
"202":
description: Document accepted for ingestion
content:
application/json:
schema:
type: object
properties:
document_id:
type: string
status:
type: string
example: pending
/v1/documents/{id}:
get:
tags: [Documents]
summary: Get document metadata
operationId: getDocument
parameters:
- $ref: "#/components/parameters/DocumentID"
responses:
"200":
description: Document metadata
content:
application/json:
schema:
$ref: "#/components/schemas/Document"
"404":
$ref: "#/components/responses/NotFound"
delete:
tags: [Documents]
summary: Delete a document
operationId: deleteDocument
parameters:
- $ref: "#/components/parameters/DocumentID"
responses:
"204":
description: Document deleted
"404":
$ref: "#/components/responses/NotFound"
/v1/documents/{id}/tree:
get:
tags: [Documents]
summary: Get document tree
operationId: getDocumentTree
description: |
Returns the compact hierarchical tree view of a document.
This is the structure the retrieval strategy feeds to the LLM.
parameters:
- $ref: "#/components/parameters/DocumentID"
responses:
"200":
description: Document tree
content:
application/json:
schema:
$ref: "#/components/schemas/DocumentTree"
"404":
$ref: "#/components/responses/NotFound"
/v1/sections/{id}:
get:
tags: [Sections]
summary: Get a section with full content
operationId: getSection
parameters:
- name: id
in: path
required: true
schema:
type: string
responses:
"200":
description: Section with content
content:
application/json:
schema:
$ref: "#/components/schemas/Section"
"404":
$ref: "#/components/responses/NotFound"
/v1/query:
post:
tags: [Query]
summary: Query a document
operationId: query
description: |
Runs the configured retrieval strategy (single-pass or
chunked-tree) against the document's tree. The LLM reasons
over the tree structure and returns the sections it judges
most relevant to the query.
requestBody:
required: true
content:
application/json:
schema:
$ref: "#/components/schemas/QueryRequest"
responses:
"200":
description: Retrieval result
content:
application/json:
schema:
$ref: "#/components/schemas/QueryResponse"
"404":
$ref: "#/components/responses/NotFound"
/v1/query/stream:
post:
tags: [Query]
summary: Streaming query (SSE)
operationId: queryStream
description: |
Streaming variant of the query endpoint. Returns Server-Sent
Events as sections are identified, before the full strategy
run completes. Each event is a JSON object.
requestBody:
required: true
content:
application/json:
schema:
$ref: "#/components/schemas/QueryRequest"
responses:
"200":
description: SSE event stream
content:
text/event-stream:
schema:
type: string
components:
securitySchemes:
BearerAuth:
type: http
scheme: bearer
description: Static API key for self-hosted deployments.
parameters:
DocumentID:
name: id
in: path
required: true
schema:
type: string
responses:
NotFound:
description: Resource not found
content:
application/json:
schema:
type: object
properties:
error:
type: string
example: document not found
schemas:
Document:
type: object
properties:
id:
type: string
title:
type: string
content_type:
type: string
status:
type: string
enum: [pending, parsing, summarizing, ready, failed]
byte_size:
type: integer
error_message:
type: string
metadata:
type: object
additionalProperties:
type: string
created_at:
type: string
format: date-time
updated_at:
type: string
format: date-time
DocumentTree:
type: object
properties:
document_id:
type: string
title:
type: string
sections:
type: array
items:
$ref: "#/components/schemas/SectionView"
SectionView:
type: object
properties:
id:
type: string
parent_id:
type: string
depth:
type: integer
title:
type: string
summary:
type: string
children:
type: array
items:
type: string
tokens:
type: integer
Section:
type: object
properties:
id:
type: string
document_id:
type: string
parent_id:
type: string
ordinal:
type: integer
depth:
type: integer
title:
type: string
summary:
type: string
token_count:
type: integer
metadata:
type: object
additionalProperties:
type: string
content:
type: string
description: Full section content from storage.
QueryRequest:
type: object
required: [document_id, query]
properties:
document_id:
type: string
query:
type: string
description: Natural-language query.
model:
type: string
description: Override the LLM model used for retrieval.
max_tokens:
type: integer
default: 100000
reserved_for_prompt:
type: integer
default: 4000
max_parallel_calls:
type: integer
default: 8
max_sections:
type: integer
description: Cap on returned sections. 0 = no cap.
QueryResponse:
type: object
properties:
document_id:
type: string
query:
type: string
strategy:
type: string
enum: [single-pass, chunked-tree]
model:
type: string
sections:
type: array
items:
$ref: "#/components/schemas/QuerySection"
elapsed_ms:
type: integer
QuerySection:
type: object
properties:
id:
type: string
parent_id:
type: string
title:
type: string
summary:
type: string
token_count:
type: integer
content:
type: string
description: Full section content from storage.