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

# Import traces from a JSONL upload

> Upload and parse a JSONL file.

Supports two formats:
1. Chat messages: {"messages": [{"role": "...", "content": "..."}]}
2. Instruction pairs: {"input": "...", "output": "..."}

Each line becomes a trace with source_type="manual".



## OpenAPI

````yaml /openapi.json post /api/v1/traces/import
openapi: 3.1.0
info:
  title: DecimalAI Platform
  description: Agent Dataset Lifecycle Platform — Backend API
  version: 0.1.0
servers: []
security:
  - BearerAuth: []
tags:
  - name: traces
    description: >-
      Ingest, search, and inspect agent execution traces. A trace is the atomic
      unit of the platform — every other feature (evaluation, compatibility
      scoring, dataset building) operates on traces. Each trace is auto-tagged
      with the manifest hash of the agent that produced it.
  - name: eval-scores
    description: >-
      Push, fetch, and aggregate per-trace evaluation scores. Scores carry
      source provenance (built-in, DeepEval, LangSmith, custom) and feed the
      unified decision engine, which produces a keep / repair / replay / drop
      verdict per trace.
  - name: skills
    description: >-
      Manage reusable instruction blocks (SKILL.md files) that modify agent
      behavior. Skills are first-class manifest components — changes to a skill
      appear in your regression-check impact reports. Use these endpoints to
      create, version, fork, and sync skills with your local SKILL.md files.
  - name: manifests
    description: >-
      Register and inspect manifest versions. A manifest is a snapshot of your
      agent's structural identity (tools, prompts, models, skills) at a point in
      time. The SDK registers manifests automatically; these endpoints expose
      the underlying records.
  - name: datasets
    description: >-
      Build versioned SFT/DPO training datasets from manifest-classified,
      eval-scored traces. Datasets are reproducible — each version locks the
      manifest and filter set used to build it. Export as JSONL, Parquet, or
      push to HuggingFace Hub.
  - name: replay
    description: >-
      Re-execute historical traces against a new manifest version. Replay is the
      deferred-future capability for behavioral verification of agent changes.
      The SDK creates a replay batch, your worker executes each task, then
      submits results back here for eval scoring.
  - name: registry
    description: >-
      Browse and install community skills from the public skills registry. Each
      registry skill carries a SkillScore — an evidence-tiered quality composite
      computed from real-world evals, benchmarks, and ratings across
      organizations. Installing creates a fork in your org — edits don't affect
      the public version.
  - name: agents
    description: >-
      List and inspect agents, plus their multi-agent topology (orchestrator →
      sub-agent edges discovered from traces). Agents are identified by a stable
      agent_name string set in your SDK init() call.
  - name: import
    description: >-
      Bulk-import historical traces from another observability platform or a
      JSONL backup. Useful for migrating from LangSmith / Braintrust / Langfuse.
      Duplicate trace IDs are silently skipped — re-running an import is safe.
paths:
  /api/v1/traces/import:
    post:
      tags:
        - import
      summary: Import traces from a JSONL upload
      description: |-
        Upload and parse a JSONL file.

        Supports two formats:
        1. Chat messages: {"messages": [{"role": "...", "content": "..."}]}
        2. Instruction pairs: {"input": "...", "output": "..."}

        Each line becomes a trace with source_type="manual".
      operationId: import_jsonl_api_v1_traces_import_post
      parameters:
        - name: Authorization
          in: header
          required: false
          schema:
            type: string
            title: Authorization
        - name: decimal_session
          in: cookie
          required: false
          schema:
            anyOf:
              - type: string
              - type: 'null'
            title: Decimal Session
      requestBody:
        required: true
        content:
          multipart/form-data:
            schema:
              $ref: '#/components/schemas/Body_import_jsonl_api_v1_traces_import_post'
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                type: object
                additionalProperties: true
                title: Response Import Jsonl Api V1 Traces Import Post
              example:
                status: ok
                imported_count: 100
                error_count: 2
                errors:
                  - 'line 45: missing agent_name'
                  - 'line 78: invalid span_type'
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      x-codeSamples:
        - lang: Bash
          label: CLI
          source: decimalai traces import traces.jsonl --format jsonl
components:
  schemas:
    Body_import_jsonl_api_v1_traces_import_post:
      properties:
        file:
          type: string
          contentMediaType: application/octet-stream
          title: File
        agent_name:
          anyOf:
            - type: string
            - type: 'null'
          title: Agent Name
      type: object
      required:
        - file
      title: Body_import_jsonl_api_v1_traces_import_post
    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
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      description: Enter your API key (e.g. dai_sk_test_key_001)

````