# Weights & Biases Documentation: English Products ## Products - [English / Products / W&B Models (164 pages)](https://docs.wandb.ai/_llms/en/products/w-and-b-models.md): Documentation for English / Products / W&B Models. - [English / Products / W&B Weave (144 pages)](https://docs.wandb.ai/_llms/en/products/w-and-b-weave.md): Documentation for English / Products / W&B Weave. ### Docs Home - [Build AI agents, applications, and models](https://docs.wandb.ai/index.md): Develop AI models and ship LLM applications with the W&B platform for experiment tracking, evaluation, and observability. #### Weights & Biases - [W&B Models](https://docs.wandb.ai/product-models.md) - [W&B Weave](https://docs.wandb.ai/product-weave.md) - [W&B HiveMind](https://docs.wandb.ai/hivemind.md): A shared dashboard for AI coding sessions. Track activity, spend, and outcomes across Claude Code, Cursor, Codex, Gemini CLI, and more with leaderboards, team views, and efficiency insights. ##### W&B ARIA - [Overview](https://docs.wandb.ai/aria/overview.md) - [Chat with ARIA](https://docs.wandb.ai/aria/chat.md) - [Use ARIA for autoresearch](https://docs.wandb.ai/aria/autoresearch.md): Learn how to use ARIA, W&B's AI Research and Iteration Agent, to analyze results and run experiments. - [Governance and security](https://docs.wandb.ai/aria/governance.md): Learn how W&B Admins can control how your organization's data is used by W&B's AI features like ARIA. #### Powered by CoreWeave - [Serverless Inference](https://docs.wandb.ai/product-inference.md) - [Serverless Training](https://docs.wandb.ai/product-serverless-training.md) - [Serverless Sandboxes](https://docs.wandb.ai/product-sandboxes.md) #### Platform Details ##### Configure W&B - [Manage bucket storage and costs](https://docs.wandb.ai/platform/hosting/managing-bucket-storage.md): Understand how W&B uses object storage, how deletion maps to bucket bytes, and how to reduce storage usage and costs. - [Configure environment variables](https://docs.wandb.ai/platform/hosting/env-vars.md): Configure a self-managed W&B Server installation using environment variables for database, storage, Redis, and IAM settings. ###### Settings - [Settings](https://docs.wandb.ai/platform/app/settings-page.md): Use the W&B Settings page to customize your individual user profile or team settings. - [Manage user settings](https://docs.wandb.ai/platform/app/settings-page/user-settings.md): Manage your profile information, account defaults, alerts, participation in beta products, GitHub integration, storage usage, account activation, and create teams in your user settings. - [Manage billing settings](https://docs.wandb.ai/platform/app/settings-page/billing-settings.md): View plan details, monitor usage, and configure usage and spending alerts for your W&B organization's billing. - [Manage email settings](https://docs.wandb.ai/platform/app/settings-page/emails.md): Add, delete, and manage email addresses and login methods in your W&B profile settings page. - [Team settings](https://docs.wandb.ai/platform/app/settings-page/teams.md): Collaborate with your colleagues, share results, and track all the experiments across your team. Manage team settings including members, alerts, and privacy. - [Manage secrets](https://docs.wandb.ai/platform/secrets.md): Overview of W&B secrets, how they work, and how to get started using them. - [Manage storage](https://docs.wandb.ai/platform/app/settings-page/storage.md): Manage W&B data storage consumption using reference artifacts, external buckets, and TTL deletion policies. ###### Identity and access management (IAM) - [Identity and access management (IAM)](https://docs.wandb.ai/platform/hosting/iam/org_team_struct.md): Understand the three IAM scopes in W&B (organizations, teams, and projects) and how they map to your company. - [Automate user and team management](https://docs.wandb.ai/platform/hosting/iam/automate_iam.md): Automate user and team management at scale in W&B using the SCIM API and the Python SDK API. - [Manage users, groups, and roles with SCIM](https://docs.wandb.ai/platform/hosting/iam/scim.md): Use the SCIM API to manage users, groups, and custom roles in a W&B organization with automated provisioning. - [Advanced IAM configuration](https://docs.wandb.ai/platform/hosting/iam/advanced_env_vars.md): Configure advanced IAM options for W&B with environment variables for SSO, session length, OIDC, and LDAP settings. ###### Authentication - [Configure SSO with LDAP](https://docs.wandb.ai/platform/hosting/iam/ldap.md): Configure LDAP-based SSO authentication for W&B Server including connection parameters and environment variables. - [Configure SSO with OIDC](https://docs.wandb.ai/platform/hosting/iam/sso.md): Configure SSO using OpenID Connect with identity providers like Okta, Azure AD, and AWS Cognito for W&B instances. - [Use federated identities with SDK](https://docs.wandb.ai/platform/hosting/iam/identity_federation.md): Use identity federation with JSON Web Tokens (JWTs) to authenticate with the W&B SDK and CLI without API keys. - [Manage API keys](https://docs.wandb.ai/platform/hosting/iam/api-keys.md): Find, create, and delete W&B API keys, and restrict how members of your organization create and use them. - [Use service accounts to automate workflows](https://docs.wandb.ai/platform/hosting/iam/service-accounts.md): Manage automated or non-interactive workflows using org and team scoped service accounts ###### Access management - [Access management](https://docs.wandb.ai/platform/hosting/iam/access-management-intro.md): Manage users, teams, roles, and project visibility as an organization or team admin in W&B. - [Manage your organization](https://docs.wandb.ai/platform/hosting/iam/access-management/manage-organization.md): Manage users, teams, roles, seats, and billing within a W&B organization as an organization admin. - [Manage access control for projects](https://docs.wandb.ai/platform/hosting/iam/access-management/restricted-projects.md): Manage project access using visibility scopes and project-level roles ###### Data security - [Bring your own bucket (BYOB)](https://docs.wandb.ai/platform/hosting/data-security/secure-storage-connector.md): Store W&B artifacts and data in your own cloud storage buckets using the Bring Your Own Bucket (BYOB) feature. - [Access BYOB using pre-signed URLs](https://docs.wandb.ai/platform/hosting/data-security/presigned-urls.md): Understand how W&B uses pre-signed URLs for blob storage access, including team-level access control and audit logging. - [Configure IP allowlisting for Dedicated Cloud](https://docs.wandb.ai/platform/hosting/data-security/ip-allowlisting.md): Restrict access to a W&B Dedicated Cloud instance to authorized IP addresses using IP allowlisting. - [Configure private connectivity to Dedicated Cloud](https://docs.wandb.ai/platform/hosting/data-security/private-connectivity.md): Connect to a W&B Dedicated Cloud instance over a private network using AWS PrivateLink, GCP, or Azure Private Link. - [Data encryption in Dedicated Cloud](https://docs.wandb.ai/platform/hosting/data-security/data-encryption.md): Learn how W&B encrypts data in Dedicated Cloud using cloud-native keys and the customer-managed encryption key policy. ##### Monitoring & Usage - [Track user activity with audit logs](https://docs.wandb.ai/platform/hosting/monitoring-usage/audit-logging.md): Access, fetch, and analyze W&B audit logs across deployment types, including the log schema and tracked actions. - [Configure Slack alerts](https://docs.wandb.ai/platform/hosting/monitoring-usage/slack-alerts.md): Create and configure a Slack application to receive W&B Server alerts, notifications, and monitoring updates. - [View organization activity](https://docs.wandb.ai/platform/hosting/monitoring-usage/org_dashboard.md): View user status, activity, and usage trends in the W&B organization dashboard across deployment types. - [W&B Mobile App (iOS)](https://docs.wandb.ai/platform/hosting/monitoring-usage/mobile-app.md): Track training runs, review console logs, view line plots and system metrics, and explore W&B Models projects from your iPhone or iPad. ##### Deployment Options - [Deployment options overview](https://docs.wandb.ai/platform/hosting.md): Compare W&B deployment options including Multi-tenant Cloud, Dedicated Cloud, and Self-Managed installations. - [Multi-tenant Cloud](https://docs.wandb.ai/platform/hosting/hosting-options/multi_tenant_cloud.md): Learn about W&B Multi-tenant Cloud, a fully managed deployment on Google Cloud with built-in compliance and data security. ###### Dedicated Cloud - [Dedicated Cloud](https://docs.wandb.ai/platform/hosting/hosting-options/dedicated-cloud.md): Learn about W&B Dedicated Cloud deployment features including compliance, data security, IAM, and maintenance policies. - [Rate limits](https://docs.wandb.ai/platform/hosting/hosting-options/dedicated-cloud/rate-limits.md): Default rate limits on Dedicated Cloud and how to request changes - [Supported Dedicated Cloud regions](https://docs.wandb.ai/platform/hosting/hosting-options/dedicated-cloud/regions.md): View all supported AWS, Google Cloud, and Azure regions available for W&B Dedicated Cloud instances. - [Export data from Dedicated Cloud](https://docs.wandb.ai/platform/hosting/hosting-options/dedicated-cloud/export-data.md): Export runs, metrics, artifacts, and reports from a W&B Dedicated Cloud instance using the Python SDK API. ###### Self-Managed - [W&B Self-Managed deployment overview](https://docs.wandb.ai/platform/hosting/hosting-options/self-managed.md): Deploy W&B Self-Managed on cloud or on-premises infrastructure - [Reference architecture](https://docs.wandb.ai/platform/hosting/self-managed/ref-arch.md): Review the reference architecture for self-managed W&B deployments covering Kubernetes, MySQL, object storage, and networking. - [Self-Managed infrastructure requirements](https://docs.wandb.ai/platform/hosting/self-managed/requirements.md): Infrastructure and software requirements for W&B Self-Managed deployments - [Rate limits](https://docs.wandb.ai/platform/hosting/self-managed/rate-limits.md): Optional rate limits on Self-Managed instances for stability - [Deploy W&B with Kubernetes Operator](https://docs.wandb.ai/platform/hosting/self-managed/operator.md): Deploy W&B Platform with Kubernetes Operator on cloud or on-premises - [Deploy on Air-Gapped Kubernetes](https://docs.wandb.ai/platform/hosting/self-managed/on-premises-deployments/kubernetes-airgapped.md): Deploy W&B Platform in air-gapped and disconnected Kubernetes environments - [Update W&B license and version](https://docs.wandb.ai/platform/hosting/server-upgrade-process.md): Guide for updating W&B version and license across different installation methods. - [Disable automatic updates for W&B Server](https://docs.wandb.ai/platform/hosting/self-managed/disable-automatic-app-version-updates.md): Learn how to disable automatic updates for W&B Server. #### Resources - [W&B Pricing](https://docs.wandb.ai/pricing.md) - [W&B Tutorials & Blog](https://docs.wandb.ai/blog.md) - [W&B YouTube Courses](https://docs.wandb.ai/courses.md) - [W&B Platform Security](https://docs.wandb.ai/security.md) ### Serverless Inference - [Serverless Inference](https://docs.wandb.ai/inference.md): Access open-source foundation models through W&B Weave and an OpenAI-compatible API - [Prerequisites](https://docs.wandb.ai/inference/prerequisites.md): Set up your environment, API key, and dependencies before using the Serverless Inference service through the API or UI. - [Available models](https://docs.wandb.ai/inference/models.md): Browse the foundation models available through Serverless Inference - [Model lifecycle](https://docs.wandb.ai/inference/lifecycle.md): Learn about Serverless Inference model lifecycle and retirement - [Use Serverless LoRA Inference](https://docs.wandb.ai/inference/lora.md): Bring your own custom LoRA for serving fine-tuned models on Serverless Inference. - [Usage information and limits](https://docs.wandb.ai/inference/usage-limits.md): Understand pricing, usage limits, and account restrictions for Serverless Inference - [Usage examples](https://docs.wandb.ai/inference/examples.md): Learn how to use Serverless Inference with practical code examples - [UI guide](https://docs.wandb.ai/inference/ui-guide.md): Access Serverless Inference models through the web interface - [Support: Inference](https://docs.wandb.ai/inference/support-inference.md) #### Response Settings - [Enable JSON mode](https://docs.wandb.ai/inference/response-settings/json-mode.md): Configure JSON mode in Serverless Inference to get structured JSON output from model responses for easier parsing. - [View reasoning information](https://docs.wandb.ai/inference/response-settings/reasoning.md): How to return and view reasoning in your Serverless Inference responses - [Enable streaming responses](https://docs.wandb.ai/inference/response-settings/streaming.md): Enable streaming output with Serverless Inference to receive model responses incrementally. - [Prefix caching](https://docs.wandb.ai/inference/response-settings/prefix-caching.md): Reduce latency for repeated prompts with prefix caching, and isolate cache reuse with cache_salt when needed. - [Enable structured output](https://docs.wandb.ai/inference/response-settings/structured-output.md): How to configure structured output in Serverless Inference responses - [Call tools](https://docs.wandb.ai/inference/response-settings/tool-calling.md): Use function and tool calling with Serverless Inference to let models invoke external tools and APIs during generation. #### Tutorials - [Cline with Serverless Inference](https://docs.wandb.ai/inference/tutorials/integration-cline.md): Learn how to configure the Cline coding agent to use Serverless Inference. - [Creating a fine-tuned LoRA](https://docs.wandb.ai/inference/tutorials/creating-lora.md): Learn how to create a fine-tuned LoRA to use with Serverless Inference. #### API Reference - [API Reference](https://docs.wandb.ai/inference/ref-link-api.md) ### Serverless Training - [Serverless Training](https://docs.wandb.ai/serverless-training.md): Post-train and fine-tune LLMs on managed serverless infrastructure with Serverless RL and Serverless SFT. - [Prerequisites](https://docs.wandb.ai/serverless-training/prerequisites.md): Set up your environment for Serverless Training by creating an account, generating an API key, and configuring a project. - [Available models](https://docs.wandb.ai/serverless-training/available-models.md): Browse the foundation models available for training with Serverless Training, including supported model variants and capabilities. - [Usage information and limits](https://docs.wandb.ai/serverless-training/usage-limits.md): Understand pricing, usage limits, and account restrictions for W&B Serverless Training #### Serverless RL - [How to use Serverless RL](https://docs.wandb.ai/serverless-training/usage.md): Post-train models with Serverless RL using OpenPipe's ART framework and the Serverless Training API for reinforcement learning. - [Use your trained models](https://docs.wandb.ai/serverless-training/use-trained-models.md): Make inference requests to the models you've trained #### Serverless SFT - [Serverless SFT](https://docs.wandb.ai/serverless-training/sft.md): Learn how to fine-tune models using supervised fine-tuning (SFT) on W&B - [How to use Serverless SFT](https://docs.wandb.ai/serverless-training/sft/usage.md): Fine-tune models with Serverless SFT using OpenPipe's ART framework and the Serverless Training API for supervised learning. #### API Reference - [API Reference](https://docs.wandb.ai/serverless-training/ref-link-api.md) ### Serverless Sandboxes - [Serverless Sandboxes](https://docs.wandb.ai/sandboxes.md): On-demand, isolated compute environments that you can create, use, and discard from Python with W&B Serverless Sandboxes. - [Sandbox lifecycle](https://docs.wandb.ai/sandboxes/lifecycle.md): Learn about the lifecycle of a Serverless Sandbox, including its states, how to wait for state changes, and how to stop a sandbox. - [Create sandboxes](https://docs.wandb.ai/sandboxes/create-sandbox.md): Create W&B Serverless Sandboxes that run code in isolated containers with their own filesystem, network, and process space. - [Run commands in a sandbox](https://docs.wandb.ai/sandboxes/run-commands.md): Learn how to run commands in a sandbox environment and read output and exit codes. - [File operations](https://docs.wandb.ai/sandboxes/file-access.md): Learn how to read, write, and mount files in Serverless Sandboxes. - [Secrets](https://docs.wandb.ai/sandboxes/secrets.md): Learn how to manage secrets in Serverless Sandboxes. - [Tutorial: Train a PyTorch model](https://docs.wandb.ai/sandboxes/mltrain-in-sandbox-tutorial.md): Learn how to train a PyTorch model in a Serverless Sandbox environment with this step-by-step tutorial. - [Tutorial: Invoke an agent in a sandbox](https://docs.wandb.ai/sandboxes/invoke-agent-sandbox-tutorial.md): Learn how to invoke an OpenAI agent within a Serverless Sandbox environment #### API Reference - [Core](https://docs.wandb.ai/sandboxes/ref-link-core.md) - [Types](https://docs.wandb.ai/sandboxes/ref-link-types.md) - [Configuration](https://docs.wandb.ai/sandboxes/ref-link-configuration.md) - [Discovery](https://docs.wandb.ai/sandboxes/ref-link-discovery.md) - [Exceptions](https://docs.wandb.ai/sandboxes/ref-link-exceptions.md) - [Utilities](https://docs.wandb.ai/sandboxes/ref-link-util.md)