# LLMGrid.ai

> LLMGrid — SaaS LLM Gateway with unified API, routing, observability, governance, and enterprise compliance

## Docs

- [Console Navigation](https://docs.llmgrid.ai/guides/administration/Navigation.md): Understand the LLMGrid console sidebar and where to find key features.
- [Sign in to LLMGrid](https://docs.llmgrid.ai/guides/administration/Signin.md): Access your LLMGrid workspace using email/password or supported SSO providers.
- [Agents](https://docs.llmgrid.ai/guides/administration/agents.md): Create, configure, and manage agents with skills, capabilities, and publishing controls.
- [AI Hub](https://docs.llmgrid.ai/guides/administration/aihub.md): Publish models, agents, and MCP servers to a public hub so developers can discover what is available.
- [API Playground](https://docs.llmgrid.ai/guides/administration/api-playground.md): Configure routing strategies, fallbacks, retries, and reliability behavior for model requests.
- [API Reference](https://docs.llmgrid.ai/guides/administration/api-reference.md): Reference documentation for using the OpenAI‑compatible proxy with LLMGrid.
- [Billing & Subscriptions](https://docs.llmgrid.ai/guides/administration/billing.md): Manage your subscription plan, billing preferences, and available add-ons.
- [Budgets](https://docs.llmgrid.ai/guides/administration/budgets.md): Create, manage, and assign budgets to control usage limits and request rates.
- [Caching](https://docs.llmgrid.ai/guides/administration/caching.md): Configure, monitor, and validate response caching to improve performance and efficiency.
- [Cost Tracking](https://docs.llmgrid.ai/guides/administration/cost-tracking.md): Configure cost calculations, apply provider discounts, and validate effective usage costs across the platform.
- [Usage Dashboard](https://docs.llmgrid.ai/guides/administration/dashboard.md): Detailed visibility into usage, cost, tokens, and activity across tenants, teams, keys, models, and agents.
- [FAQs](https://docs.llmgrid.ai/guides/administration/faqs.md): Frequently asked questions about LLMGrid features, usage, security, and operations.
- [Guardrails](https://docs.llmgrid.ai/guides/administration/guardrails.md): Configure, apply, and monitor guardrails to govern model inputs, outputs, and tool execution across the platform.
- [Request Logs](https://docs.llmgrid.ai/guides/administration/logs.md): Inspect, filter, and analyze individual API requests, responses, and execution details.
- [MCP Servers](https://docs.llmgrid.ai/guides/administration/mcpserver.md): Configure and manage MCP servers to enable tool-based interactions for models and agents.
- [Observability](https://docs.llmgrid.ai/guides/administration/observability.md): Monitor, analyze, and audit platform activity using logs, metrics, analytics, and alerts.
- [Organizations](https://docs.llmgrid.ai/guides/administration/organizations.md): Create and manage organizations to segment access, enforce budgets and limits, and govern model usage at scale.
- [Playground](https://docs.llmgrid.ai/guides/administration/playground.md): Interactively test models, routes, tools, guardrails, and data sources before production use.
- [Prompts](https://docs.llmgrid.ai/guides/administration/prompts.md): Create, version, test, and reuse prompts with template variables, tools, and model parameters.
- [Search Tools](https://docs.llmgrid.ai/guides/administration/search.md): Configure and manage search providers that can be used by models and agents for retrieval and grounding.
- [Security & Compliance](https://docs.llmgrid.ai/guides/administration/security-complience.md): Understand the security, compliance, and governance features available in LLMGrid and how they are managed.
- [Tag Management](https://docs.llmgrid.ai/guides/administration/tag-management.md): Create and manage tags to control model access, apply budgets, and support routing and cost attribution.
- [Teams](https://docs.llmgrid.ai/guides/administration/teams.md): Create and manage teams, control access to models, and apply budgets and limits at the team level.
- [Tenant Selection](https://docs.llmgrid.ai/guides/administration/tenent.md): LLMGrid supports a multi‑tenant model, where a single user account can belong to multiple tenants.
- [Router Settings](https://docs.llmgrid.ai/guides/administration/untitled-page-2.md): Configure routing strategies, fallbacks, retries, and reliability behavior for model requests.
- [Internal Users](https://docs.llmgrid.ai/guides/administration/users.md): Invite, manage, and govern internal users, roles, budgets, and key ownership across the tenant.
- [Vector Stores](https://docs.llmgrid.ai/guides/administration/vector.md): Create, manage, and test vector stores used for storing and retrieving embeddings in retrieval‑augmented workflows.
- [Virtual Keys](https://docs.llmgrid.ai/guides/administration/virtualkeys.md): Create, manage, and govern API keys with fine-grained controls for access, limits, routing, and logging.
- [cURL](https://docs.llmgrid.ai/guides/developer-docs/c-url.md)
- [LangChain](https://docs.llmgrid.ai/guides/developer-docs/lang-chain.md)
- [LlamaIndex](https://docs.llmgrid.ai/guides/developer-docs/llama-index.md)
- [Model Management](https://docs.llmgrid.ai/guides/developer-docs/modelmanagement.md): Add, configure, and operate models, credentials, routing, health checks, retries, aliases, and pricing metadata.
- [Node.js](https://docs.llmgrid.ai/guides/developer-docs/node-js.md)
- [Other popular platforms](https://docs.llmgrid.ai/guides/developer-docs/other-platforms.md)
- [Python](https://docs.llmgrid.ai/guides/developer-docs/python-sdk.md): The LLMGrid Python SDK uses a unified completion() interface with OpenAI-compatible parameters and a standardized response shape
- [LLMGrid SDK](https://docs.llmgrid.ai/guides/developer-docs/sdk.md): Use the LLMGrid SDK and OpenAI-compatible clients to call models through https://api.llmgrid.ai/v1 with consistent request/response formats.
- [LLMGrid Overview](https://docs.llmgrid.ai/index.md): A unified platform for routing, governing, and observing LLM usage across models, tools, and agents.
- [Quick Start Guide](https://docs.llmgrid.ai/quick-start.md): Get started with LLMGrid in minutes using the OpenAI‑compatible proxy and core governance features.

## OpenAPI Specs

- [openapi](https://docs.llmgrid.ai/api-reference/openapi.json)