aid: literalai
url: https://raw.githubusercontent.com/api-evangelist/literalai/refs/heads/main/apis.yml
name: Literal AI
kind: company
description: Literal AI is the collaborative observability, evaluation, and analytics
  platform for building production-grade LLM applications, from the Chainlit team.
  Its API is GraphQL (POST /api/graphql) consumed through Python and TypeScript SDKs,
  capturing threads, steps, generations, datasets, experiments, prompts, and scores,
  with an additional OpenTelemetry (OTLP) ingestion path for traces.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- AI
- LLM
- Observability
- Evaluation
- Monitoring
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.19'
apis:
- aid: literalai:threads-steps
  name: Literal AI Threads & Steps API
  tags:
  - Threads
  - Steps
  - Tracing
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.literalai.com/python-client/api-reference/api
  baseURL: https://cloud.getliteral.ai/api/graphql
  properties:
  - url: https://docs.literalai.com/observability/concepts
    type: Documentation
  - url: https://docs.literalai.com/python-client/api-reference/api
    type: APIReference
  - url: openapi/literalai-openapi.yml
    type: OpenAPI
  - url: graphql/literalai-graphql.md
    type: GraphQL
  description: Create, read, update, upsert, and delete conversation threads and the
    nested steps (runs, tools, retrievals, LLM calls) that trace an LLM application's
    execution, queried and mutated over GraphQL.
- aid: literalai:generations
  name: Literal AI Generations API
  tags:
  - Generations
  - LLM
  - Logging
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.literalai.com/python-client/api-reference/api
  baseURL: https://cloud.getliteral.ai/api/graphql
  properties:
  - url: https://docs.literalai.com/observability/concepts
    type: Documentation
  - url: https://docs.literalai.com/python-client/api-reference/api
    type: APIReference
  - url: openapi/literalai-openapi.yml
    type: OpenAPI
  - url: graphql/literalai-graphql.md
    type: GraphQL
  description: Log and paginate chat and completion generations - prompts, model,
    settings, token usage, and outputs - with filtering for analytics and evaluation.
- aid: literalai:datasets
  name: Literal AI Datasets API
  tags:
  - Datasets
  - Evaluation
  - Test Data
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.literalai.com/python-client/api-reference/api
  baseURL: https://cloud.getliteral.ai/api/graphql
  properties:
  - url: https://docs.literalai.com/evaluation/datasets
    type: Documentation
  - url: https://docs.literalai.com/python-client/api-reference/api
    type: APIReference
  - url: openapi/literalai-openapi.yml
    type: OpenAPI
  - url: graphql/literalai-graphql.md
    type: GraphQL
  description: Build and manage datasets and dataset items - curated from production
    steps or created manually - that serve as ground truth for evaluation and experiments.
- aid: literalai:experiments
  name: Literal AI Experiments API
  tags:
  - Experiments
  - Evaluation
  - Benchmarking
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.literalai.com/python-client/api-reference/api
  baseURL: https://cloud.getliteral.ai/api/graphql
  properties:
  - url: https://docs.literalai.com/evaluation/experiments
    type: Documentation
  - url: https://docs.literalai.com/python-client/api-reference/api
    type: APIReference
  - url: openapi/literalai-openapi.yml
    type: OpenAPI
  - url: graphql/literalai-graphql.md
    type: GraphQL
  description: Create dataset experiments and record per-item experiment runs with
    scores to benchmark prompt, model, and pipeline changes over time.
- aid: literalai:prompts
  name: Literal AI Prompts API
  tags:
  - Prompts
  - Versioning
  - Templates
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.literalai.com/python-client/api-reference/api
  baseURL: https://cloud.getliteral.ai/api/graphql
  properties:
  - url: https://docs.literalai.com/prompt-engineering/prompts
    type: Documentation
  - url: https://docs.literalai.com/python-client/api-reference/api
    type: APIReference
  - url: openapi/literalai-openapi.yml
    type: OpenAPI
  - url: graphql/literalai-graphql.md
    type: GraphQL
  description: Version, store, and retrieve prompt templates with their model settings,
    enabling collaborative prompt engineering and A/B testing against deployed apps.
- aid: literalai:scores
  name: Literal AI Scores API
  tags:
  - Scores
  - Feedback
  - Evaluation
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.literalai.com/python-client/api-reference/api
  baseURL: https://cloud.getliteral.ai/api/graphql
  properties:
  - url: https://docs.literalai.com/evaluation/scores
    type: Documentation
  - url: https://docs.literalai.com/python-client/api-reference/api
    type: APIReference
  - url: openapi/literalai-openapi.yml
    type: OpenAPI
  - url: graphql/literalai-graphql.md
    type: GraphQL
  description: Attach human, AI, and code-based scores to steps and generations -
    numeric, categorical, or boolean - for feedback collection and offline/online
    evaluation.
common:
- type: GitHubOrganization
  url: https://github.com/Chainlit
- type: LinkedIn
  url: https://www.linkedin.com/company/chainlit
- type: Website
  url: https://www.literalai.com
- type: Documentation
  url: https://docs.literalai.com
- type: Plans
  url: plans/literalai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/literalai-rate-limits.yml
- type: FinOps
  url: finops/literalai-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com