# Deepshi API

## Docs

- [Create a chat completion](https://docs.deepshi.ai/api-reference/chat-completions/create-a-chat-completion.md): Creates a completion for the provided messages. Supports streaming via SSE.
- [API reference](https://docs.deepshi.ai/api-reference/introduction.md): Endpoints, request shapes, and conventions for the Deepshi API.
- [List available models](https://docs.deepshi.ai/api-reference/models/list-available-models.md): Lists available models. If provider is not specified, lists all models from all configured providers.
- [Text & chat](https://docs.deepshi.ai/capabilities/text-and-chat.md): Generate text and hold conversations with chat completions.
- [Tool calling](https://docs.deepshi.ai/capabilities/tool-calling.md): Let models call your functions and external tools.
- [Authentication](https://docs.deepshi.ai/get-started/authentication.md): Create API keys and authenticate every request with a bearer token.
- [Credits & billing](https://docs.deepshi.ai/get-started/pricing-credits.md): How your prepaid balance, top-ups, and usage metering work.
- [Quickstart](https://docs.deepshi.ai/get-started/quickstart.md): Go from zero to your first completion in a few minutes.
- [Claude Code](https://docs.deepshi.ai/guides/claude-code.md): Point Claude Code at Deepshi to code with Deepshi-served models.
- [Codex CLI](https://docs.deepshi.ai/guides/codex.md): Use Deepshi models in OpenAI's Codex CLI as a custom provider.
- [Coding tools](https://docs.deepshi.ai/guides/coding-tools.md): Use Deepshi models in AI coding assistants like Cursor and Claude Code.
- [LangChain](https://docs.deepshi.ai/guides/langchain.md): Use Deepshi models in LangChain through the OpenAI-compatible interface.
- [Migrating from OpenAI](https://docs.deepshi.ai/guides/migrating-from-openai.md): Move an existing OpenAI integration to Deepshi with minimal changes.
- [Using the OpenAI SDK](https://docs.deepshi.ai/guides/openai-sdk.md): Point the official OpenAI SDKs at Deepshi and reuse your existing code.
- [Reasoning models](https://docs.deepshi.ai/guides/reasoning.md): Use models that think before they answer, and read their reasoning trace.
- [Streaming responses](https://docs.deepshi.ai/guides/streaming.md): Receive tokens as they're generated with Server-Sent Events.
- [Structured outputs](https://docs.deepshi.ai/guides/structured-outputs.md): Force the model to return JSON that matches a schema you define.
- [Vercel AI SDK](https://docs.deepshi.ai/guides/vercel-ai-sdk.md): Use Deepshi models with the Vercel AI SDK.
- [Deepshi API](https://docs.deepshi.ai/index.md): One OpenAI-compatible API for Deepshi's uncensored models and the world's leading frontier models.
- [Models overview](https://docs.deepshi.ai/models/overview.md): How models work in the Deepshi API and how to reference them.
- [Text models](https://docs.deepshi.ai/models/text-models.md): Every text model available through the Deepshi API, with context windows and capabilities.
- [Pricing](https://docs.deepshi.ai/overview/pricing.md): How you're charged, and where to find live per-model rates.
- [Privacy](https://docs.deepshi.ai/overview/privacy.md): How Deepshi handles your prompts, completions, and data.
- [Errors & status codes](https://docs.deepshi.ai/resources/errors.md): Understand the HTTP status codes the API returns and how to handle them.
- [FAQ](https://docs.deepshi.ai/resources/faq.md): Common questions about the Deepshi API.

## OpenAPI Specs

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