> ## 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. # GPT All-Model API - Responses Quickstart > - Call GPT series text models using the OpenAI Responses format (select the specific model via the `model` parameter) - Reasoning + tool-calling models, supporting mixed text and image input - This API supports server-side tools: web search, code execution, and file search - Multi-turn conversations can be chained with `previous_response_id`, with no need to re-upload the history - 💡 Need tools and the full parameter set? See the [full parameter reference](./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/gpt/responses/responses-quickstart.json POST /v1/responses openapi: 3.1.0 info: title: GPT All-Model API - Responses Quickstart description: >- Quickstart examples for calling GPT series text models through the OpenAI-compatible Responses API (server-side tools are provided on this API). 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 server-side tools paths: /v1/responses: post: tags: - Responses summary: GPT Quick Response (All Models) description: >- - Call GPT series text models using the OpenAI Responses format (select the specific model via the `model` parameter) - Reasoning + tool-calling models, supporting mixed text and image input - This API supports server-side tools: web search, code execution, and file search - Multi-turn conversations can be chained with `previous_response_id`, with no need to re-upload the history - 💡 Need tools and the full parameter set? See the [full parameter reference](./responses-reference) operationId: gptResponsesQuickstart 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 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 | Context window | Positioning | |---|---|---| | `gpt-5.6-sol` | 1,050,000 | GPT-5.6 family, frontier reasoning | | `gpt-5.6-terra` | 1,050,000 | GPT-5.6 family, balanced production | | `gpt-5.6-luna` | 1,050,000 | GPT-5.6 family, high throughput and cost control | | `gpt-5.5` | 400,000 | General-purpose reasoning model | | `gpt-5.4` | 128,000 | General-purpose reasoning model | | `gpt-5.2` | 400,000 | General-purpose reasoning model | | `gpt-5.1` | 400,000 | General-purpose reasoning model | enum: - gpt-5.6-sol - gpt-5.6-terra - gpt-5.6-luna - gpt-5.5 - gpt-5.4 - gpt-5.2 - gpt-5.1 example: gpt-5.6-sol input: description: >- Model input: a plain string, or an array of input items. For the full multimodal and tool-result syntax, see the [full parameter reference](./responses-reference). ```json "input": [ { "role": "user", "content": [ { "type": "input_text", "text": "What is in this image?" }, { "type": "input_image", "image_url": "https://example.com/photo.png" } ] } ] ``` oneOf: - type: string - type: array items: type: object example: Explain quantum entanglement in one sentence. ResponsesResponse: type: object properties: id: type: string description: >- Unique ID of this response, which can be used as `previous_response_id` for the next turn example: resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5 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: Actual model name used example: gpt-5.6-sol created_at: type: integer description: Creation timestamp example: 1786705221 output: type: array description: >- Output items in generation order: the `reasoning` item (reasoning summary), tool call items, and finally the `message` item containing `output_text` content. 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 - web_search_call - code_interpreter_call - file_search_call - function_call 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. Prompt caching applies automatically, and cached input tokens are billed at the lower cached rate. properties: input_tokens: type: integer description: Number of input tokens example: 18 output_tokens: type: integer description: Number of output tokens (includes reasoning tokens) example: 42 total_tokens: type: integer description: Total number of tokens example: 60 input_tokens_details: type: object description: Detailed input token information properties: cached_tokens: type: integer description: Number of tokens served from cache example: 0 output_tokens_details: type: object description: Detailed output token information properties: reasoning_tokens: type: integer description: Number of reasoning tokens example: 16 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 ``` ````