> ## Documentation Index
> Fetch the complete documentation index at: https://docs.valiqor.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Upload Trace Endpoint

> Upload a trace and optionally generate eval_steps.

- **project_name**: Name of the project (resolved to project_id via auth org)
- **trace**: Complete trace JSON data
- **generate_eval_steps**: Whether to generate evaluation steps from trace



## OpenAPI

````yaml openapi.json post /api/v1/traces/upload
openapi: 3.1.0
info:
  title: Valiqor API
  description: >-
    The Valiqor API provides programmatic access to AI application testing,
    evaluation, failure analysis, and security auditing.


    ## Authentication


    All API requests require an API key passed as a Bearer token in the
    `Authorization` header:


    ```

    Authorization: Bearer vq-xxxxxxxxxxxxxxxxxxxx

    ```


    Get your API key from the [Valiqor Dashboard](https://app.valiqor.com) or
    via `valiqor login` CLI command.


    ## Base URL


    ```

    https://api.valiqor.com

    ```
  version: 2.0.0
  contact:
    name: Valiqor Support
    url: https://valiqor.com
    email: support@valiqor.com
servers:
  - url: https://api.valiqor.com
    description: Production
security: []
tags:
  - name: Authentication
    description: >-
      API key validation, user management, device authorization flow, and CLI
      authentication. All SDK requests require a valid API key passed as a
      Bearer token.
  - name: Evaluation
    description: >-
      Run quality evaluations on datasets or traces. Compute metrics like
      faithfulness, relevance, coherence, and more. Compare runs and track
      trends over time.
  - name: Security
    description: >-
      Security audits (S1-S23 safety categories) and red team simulations.
      Detect prompt injection, harmful content, data leakage, and other
      vulnerabilities.
  - name: Failure Analysis
    description: >-
      Analyze AI app failures with root cause detection, severity scoring, and
      actionable fix suggestions. Supports both trace-based (full) and
      dataset-based (minimal) analysis modes.
  - name: Tracing
    description: >-
      Upload and query execution traces from AI applications. Traces capture
      messages, spans, tool calls, retrievals, and LLM interactions for
      debugging and evaluation.
  - name: Scanner
    description: >-
      Upload code scans to detect AI app features, workflows, and prompts.
      Generates evaluation configurations automatically from your codebase.
  - name: Projects
    description: >-
      Create and manage projects. Projects are containers that organize
      evaluation runs, security audits, traces, and failure analysis results.
paths:
  /api/v1/traces/upload:
    post:
      tags:
        - Tracing
      summary: Upload Trace Endpoint
      description: >-
        Upload a trace and optionally generate eval_steps.


        - **project_name**: Name of the project (resolved to project_id via auth
        org)

        - **trace**: Complete trace JSON data

        - **generate_eval_steps**: Whether to generate evaluation steps from
        trace
      operationId: upload_trace_endpoint_api_v1_traces_upload
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/TraceUploadRequest'
        required: true
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TraceResponse'
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      security:
        - APIKeyAuth: []
components:
  schemas:
    TraceUploadRequest:
      properties:
        project_name:
          type: string
          title: Project Name
          description: Project name (resolved via auth)
        trace:
          additionalProperties: true
          type: object
          title: Trace
          description: Complete trace JSON
        generate_eval_steps:
          type: boolean
          title: Generate Eval Steps
          description: Whether to generate eval steps
          default: true
      type: object
      required:
        - project_name
        - trace
      title: TraceUploadRequest
      description: Request model for trace upload
    TraceResponse:
      properties:
        trace_id:
          type: string
          title: Trace Id
        status:
          type: string
          title: Status
        message:
          type: string
          title: Message
        eval_steps_count:
          type: integer
          title: Eval Steps Count
          default: 0
      type: object
      required:
        - trace_id
        - status
        - message
      title: TraceResponse
      description: Response model for trace operations
    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
      type: object
      required:
        - loc
        - msg
        - type
      title: ValidationError
  securitySchemes:
    APIKeyAuth:
      type: http
      scheme: bearer
      description: >-
        Valiqor API key. Pass as Bearer token: `Authorization: Bearer
        vq-xxxxxxxxxxxxxxxxxxxx`

````