Weights and Biases

aid: wandb
url: https://raw.githubusercontent.com/api-evangelist/wandb/refs/heads/main/apis.yml
name: Weights and Biases
kind: company
description: >-
  Weights and Biases (W&B) is an MLOps and AI developer platform covering the
  full lifecycle of model and LLM application development. W&B Models provides
  experiment tracking, hyperparameter sweeps, artifacts, model registry, and
  reports. W&B Weave provides LLM tracing, evaluation, cost tracking, guardrails,
  and prompt/playground tooling for production AI applications. Three CoreWeave-
  powered serverless capabilities sit alongside the core platform: Serverless
  Inference (OpenAI-compatible API for open-source foundation models),
  Serverless RL (post-training with ART/RULER), and Serverless Sandboxes
  (isolated code execution). The platform exposes a Python SDK, a public REST
  API, and a GraphQL API at api.wandb.ai, with CLI tooling and webhook
  integrations. W&B was acquired by CoreWeave in 2025.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- MLOps
- Experiment Tracking
- LLM Observability
- Model Registry
- AI Platform
- Evaluation
- Tracing
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.19'
apis:
- aid: wandb:graphql
  name: W&B GraphQL API
  description: >-
    Primary programmatic surface for W&B Models. The Python public API
    (wandb.Api) speaks GraphQL against api.wandb.ai to query and manage runs,
    projects, sweeps, artifacts, registries, reports, automations, slack and
    webhook integrations, and viewer/entity context.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - GraphQL
  - Runs
  - Artifacts
  - Sweeps
  - Model Registry
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/ref/python/public-api/api/
  - url: graphql/wandb-graphql.md
    type: GraphQL
- aid: wandb:rest
  name: W&B REST API
  description: >-
    REST endpoints exposed by the W&B platform for ingestion, artifact
    upload, file storage, and integration callbacks. Used internally by the
    wandb SDK and CLI, and available to customers for direct integration.
  humanURL: https://docs.wandb.ai/
  baseURL: https://api.wandb.ai
  tags:
  - REST
  - Ingestion
  - Artifacts
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/
- aid: wandb:weave
  name: W&B Weave (LLM Observability)
  description: >-
    LLM observability and evaluation platform providing tracing, output
    evaluation, cost estimation, prompt playground, guardrails, and a
    Python and TypeScript SDK. Traces and evaluations are persisted to the
    W&B backend and queryable via the Weave SDK.
  humanURL: https://weave-docs.wandb.ai/
  baseURL: https://api.wandb.ai
  tags:
  - LLM
  - Observability
  - Tracing
  - Evaluation
  - Guardrails
  properties:
  - type: Documentation
    url: https://weave-docs.wandb.ai/
  - type: Repository
    url: https://github.com/wandb/weave
- aid: wandb:python-sdk
  name: W&B Python SDK
  description: >-
    Official Python SDK (wandb) for logging runs, metrics, gradients, media,
    and artifacts; running sweeps; and interacting with the W&B public API.
    Apache-2.0 licensed.
  humanURL: https://docs.wandb.ai/ref/python/
  baseURL: https://github.com/wandb/wandb
  tags:
  - SDK
  - Python
  properties:
  - type: Repository
    url: https://github.com/wandb/wandb
  - type: Package
    url: https://pypi.org/project/wandb/
- aid: wandb:cli
  name: W&B CLI
  description: >-
    Command-line interface bundled with the wandb Python package for login,
    sweep orchestration, artifact management, and local agent execution.
  humanURL: https://docs.wandb.ai/ref/cli/
  baseURL: https://docs.wandb.ai/ref/cli/
  tags:
  - CLI
  - Sweeps
  - Agents
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/ref/cli/
- aid: wandb:serverless-inference
  name: W&B Serverless Inference (CoreWeave)
  description: >-
    OpenAI-compatible inference API for hosted open-source foundation models,
    running on CoreWeave GPU infrastructure with native Weave tracing and
    usage tracking.
  humanURL: https://docs.wandb.ai/guides/inference
  baseURL: https://api.inference.wandb.ai/v1
  tags:
  - Inference
  - OpenAI-Compatible
  - LLM
  - Serverless
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/guides/inference
- aid: wandb:webhook-automations
  name: W&B Webhook Automations
  description: >-
    Outbound webhook integrations driven by W&B automations. Customers
    register endpoints that W&B POSTs to when configured events fire
    (artifact created, alias added, run state changes, registry events).
  humanURL: https://docs.wandb.ai/guides/automations/
  baseURL: customer-configured
  tags:
  - Webhooks
  - Automations
  - Events
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/guides/automations/
common:
- type: LinkedIn
  url: https://www.linkedin.com/company/wandbai
- type: Website
  url: https://wandb.ai/
- type: Documentation
  url: https://docs.wandb.ai/
- type: GitHub
  url: https://github.com/wandb
- type: Weave
  url: https://weave-docs.wandb.ai/
- type: Pricing
  url: https://wandb.ai/site/pricing/
- type: Parent
  url: https://www.coreweave.com/
- type: Plans
  url: plans/wandb-plans-pricing.yml
- type: RateLimits
  url: rate-limits/wandb-rate-limits.yml
- type: FinOps
  url: finops/wandb-finops.yml
- type: LLMsTxt
  url: https://docs.wandb.ai/llms.txt
integrations:
- name: PyTorch
- name: TensorFlow
- name: Hugging Face
- name: Keras
- name: scikit-learn
- name: OpenAI
- name: Anthropic
- name: LangChain
- name: LlamaIndex
- name: Slack
- name: GitHub
- name: Kubernetes
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com