> ## Documentation Index > Fetch the complete documentation index at: https://evolink.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Grok All-Model API - Responses Quickstart > - Call xAI Grok text models using the OpenAI Responses API format (pick the model via the `model` parameter) - Reasoning + tool-use models; `grok-4.5` has a 500K-token context window - This endpoint unlocks xAI server-side tools: web search, X search, code execution, attachment search, and collections search (billed per successful call) - 💡 Need tools and all parameters? See the [full parameter documentation](./responses-reference) **BaseURL**: The default BaseURL is `https://direct.evolink.ai`, which has better support for text models and long-lived connections. `https://api.evolink.ai` is the primary endpoint for multimodal services and serves as a fallback address for text models. ## OpenAPI ````yaml en/api-manual/language-series/grok/responses/responses-quickstart.json POST /v1/responses openapi: 3.1.0 info: title: Grok All-Model API - Responses Quickstart description: >- A quickstart example for calling xAI Grok text models through the OpenAI-compatible Responses API, including server-side tools. license: name: MIT version: 1.0.0 servers: - url: https://direct.evolink.ai description: Production (recommended) - url: https://api.evolink.ai description: Alternative URL security: - bearerAuth: [] tags: - name: Responses description: OpenAI Responses API with xAI server-side tools paths: /v1/responses: post: tags: - Responses summary: Grok Quick Response (All Models) description: >- - Call xAI Grok text models using the OpenAI Responses API format (pick the model via the `model` parameter) - Reasoning + tool-use models; `grok-4.5` has a 500K-token context window - This endpoint unlocks xAI server-side tools: web search, X search, code execution, attachment search, and collections search (billed per successful call) - 💡 Need tools and all parameters? See the [full parameter documentation](./responses-reference) operationId: grokResponsesQuick requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ResponsesQuickRequest' responses: '200': description: Response generated successfully content: application/json: schema: $ref: '#/components/schemas/ResponsesResponse' '400': description: Invalid request parameters content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: error: code: 400 message: Invalid request parameters type: invalid_request_error '401': description: Unauthorized, invalid or expired token content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: error: code: 401 message: Invalid or expired token type: authentication_error '402': description: Insufficient quota, recharge required content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: error: code: 402 message: Insufficient quota type: insufficient_quota_error fallback_suggestion: https://evolink.ai/dashboard/billing '429': description: Rate limit exceeded content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: error: code: 429 message: Rate limit exceeded type: rate_limit_error fallback_suggestion: retry after 60 seconds '500': description: Internal server error content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: error: code: 500 message: Internal server error type: internal_server_error fallback_suggestion: try again later '503': description: Service temporarily unavailable content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: error: code: 503 message: Service temporarily unavailable type: service_unavailable_error fallback_suggestion: retry after 30 seconds components: schemas: ResponsesQuickRequest: type: object required: - model - input properties: model: type: string description: |- Model to call: | Model ID | Positioning | |---|---| | `grok-4.5` | xAI reasoning + tool-use model, 500K context window | enum: - grok-4.5 example: grok-4.5 input: type: string description: Input text for the model example: Explain what makes Grok 4.5 different in two sentences. ResponsesResponse: type: object properties: id: type: string description: Unique identifier for the response example: 55d44212-8d5e-90cc-975f-36d341ce21f5 object: type: string enum: - response description: Response type example: response status: type: string description: Response status enum: - completed - incomplete - failed example: completed model: type: string description: Model name actually used example: grok-4.5 created_at: type: integer description: Creation timestamp example: 1786538000 output: type: array description: >- Output items. Grok reasoning models typically return `reasoning` items (summarized thinking) followed by a `message` item with the final answer. items: $ref: '#/components/schemas/OutputItem' usage: $ref: '#/components/schemas/Usage' ErrorResponse: type: object properties: error: type: object properties: code: type: integer description: HTTP status error code message: type: string description: Error description type: type: string description: Error type param: type: string description: Related parameter name fallback_suggestion: type: string description: Suggestion when error occurs OutputItem: type: object properties: id: type: string description: Output item identifier type: type: string description: Output item type enum: - reasoning - message example: message status: type: string description: Output item status example: completed content: type: array description: Message content parts (`output_text`), present on `message` items items: type: object Usage: type: object description: >- Token usage statistics. Prompts of 200K tokens or more are billed at 2x for all token types. properties: input_tokens: type: integer description: Number of input tokens example: 1692 output_tokens: type: integer description: Number of output tokens (includes reasoning tokens) example: 54 total_tokens: type: integer description: Total number of tokens example: 1746 input_tokens_details: type: object description: Detailed input token information properties: cached_tokens: type: integer description: >- Number of cached prompt tokens hit (billed at the lower cached-input rate) example: 512 output_tokens_details: type: object description: Detailed output token information properties: reasoning_tokens: type: integer description: Number of reasoning tokens example: 35 securitySchemes: bearerAuth: type: http scheme: bearer description: >- ##All APIs require Bearer Token authentication## **Get API Key:** Visit [API Key Management Page](https://evolink.ai/dashboard/keys) to get your API Key **Add to request header:** ``` Authorization: Bearer YOUR_API_KEY ``` ````