Log10

aid: log10
name: Log10
description: >
  Log10 is an LLMOps platform that provides REST API and SDK capabilities for
  capturing, logging, and managing LLM completions across major providers such
  as OpenAI, Anthropic, Google Gemini, Mistral, and Meta Llama. The platform
  enables engineering teams to debug prompt chains, run automated evaluations,
  collect human and AI-generated feedback, and benchmark model outputs at scale.
  Log10 supports session-based tracing, tag-based filtering, and cost tracking
  to help organizations optimize accuracy and operational efficiency of their
  generative AI applications. Developers can integrate via a Python SDK, TypeScript
  SDK, or directly via the REST and GraphQL API using an API token and organization ID.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
url: https://raw.githubusercontent.com/api-evangelist/log10/refs/heads/main/apis.yml
created: 2026-06-13
modified: 2026-06-13
specificationVersion: "0.19"
tags:
  - LLM
  - Logging
  - Observability
  - Evaluation
  - Feedback
  - Debugging
  - LLMOps
  - Artificial Intelligence
  - Machine Learning
apis:
  - name: Log10 LLM Logging API
    description: >
      REST API for capturing LLM completions, managing sessions, applying tags,
      and retrieving logged request and response data across LLM provider calls.
    image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://docs.log10.io/observability/logs
    baseURL: https://log10.io
    tags:
      - Logging
      - Completions
      - Sessions
      - Tags
    properties:
      - type: Documentation
        url: https://docs.log10.io/observability/logs
      - type: OpenAPI
        url: openapi/log10-logging-openapi.yml
  - name: Log10 Feedback API
    description: >
      API for submitting human and automated feedback on LLM completions,
      defining feedback tasks with structured scales, and accessing AutoFeedback
      predictions via GraphQL using completion identifiers.
    image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://docs.log10.io/feedback/feedback
    baseURL: https://log10.io
    tags:
      - Feedback
      - Evaluation
      - AutoFeedback
      - GraphQL
    properties:
      - type: Documentation
        url: https://docs.log10.io/feedback/feedback
  - name: Log10 Evaluation API
    description: >
      API for running automated evaluations and benchmarking logged completions
      across multiple LLM providers, generating performance reports and accuracy
      insights to support model selection and prompt optimization workflows.
    image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://docs.log10.io/feedback/auto_feedback
    baseURL: https://log10.io
    tags:
      - Evaluation
      - Benchmarking
      - Model Comparison
      - Accuracy
    properties:
      - type: Documentation
        url: https://docs.log10.io/feedback/auto_feedback
common:
  - type: Website
    url: https://log10.io
  - type: Documentation
    url: https://docs.log10.io
  - type: GitHubOrg
    url: https://github.com/log10-io
  - type: LinkedIn
    url: https://www.linkedin.com/company/log10-io
  - type: Blog
    url: https://log10.io/news
  - type: Pricing
    url: https://log10.io/pricing
  - type: StatusPage
    url: https://trust.log10.io
  - type: X
    url: https://x.com/log10io
  - type: Plans
    url: plans/log10-plans-pricing.yml
  - type: RateLimits
    url: rate-limits/log10-rate-limits.yml
  - type: FinOps
    url: finops/log10-finops.yml
  - type: Vocabulary
    url: vocabulary/log10-vocabulary.yml
  - type: JSONLDContext
    url: json-ld/log10-context.jsonld
  - type: JSONSchema
    url: json-schema/completion.json
  - type: JSONSchema
    url: json-schema/feedback.json
  - type: JSONSchema
    url: json-schema/feedback-task.json
  - type: JSONSchema
    url: json-schema/session.json
  - type: Blogs
    url: blogs/blogs.json
maintainers:
  - FN: Kin Lane
    email: [email protected]