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POST/v1/responses

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POST/v1/responses
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Requests use the API key you enter and follow standard API billing.

GPT-6.1 Sol

Request ID gpt-6.1-sol

Protocols

Authentication

Requests require an API key from API key management. For JSON requests, set Content-Type: application/json.

  • Authorization: Bearer YOUR_API_KEY

Request parameters

POST /v1/responses

FieldTypeRequiredDescription
modelstringRequiredSet the model ID to gpt-6.1-sol.
inputstring / object[]RequiredInput text or an ordered array of input items. Message items use role and content.
instructionsstringOptionalInstructions describing the task and output requirements.
max_output_tokensintegerOptionalCaps output tokens. The accepted limit depends on the model and endpoint.
streambooleanOptionaltrue requests an SSE stream. false requests a JSON response. Available modes depend on the endpoint.
storebooleanConditionalWhere supported, false requests that the response not be retained for later retrieval.
text.formatobjectConditionalSet text.format for structured output, for example type: json_schema. Use only on endpoints that support the format.
temperaturenumberConditionalControls sampling randomness. Accepted values and whether the field takes effect depend on the model and endpoint.
top_pnumberConditionalLimits sampling candidates by cumulative probability. Use when the model and endpoint support it.
reasoning.effortstringConditionalRequested reasoning effort. Available levels and whether reasoning can be disabled depend on the model and endpoint.
toolsobject[]ConditionalTool definitions available to the model. Tool types and parameter formats depend on the protocol and endpoint.
tool_choicestring / objectConditionalControls tool selection. Use a forced or named choice only when the selected endpoint supports it.

POST /v1/responses/compact

FieldTypeRequiredDescription
modelstringRequiredSet the model ID to gpt-6.1-sol.
inputstring / object[]RequiredContext to compact. Send text or the conversation input items in their original order. Accepted formats depend on the endpoint.

POST /v1/chat/completions

FieldTypeRequiredDescription
modelstringRequiredSet the model ID to gpt-6.1-sol.
messagesobject[]RequiredSend messages in conversation order. Each message has a role and content.
messages[].contentstring / object[]ConditionalThe message body. Use plain text or an array of content blocks defined by the protocol.
streambooleanOptionaltrue requests an SSE stream. false requests a JSON response. Available modes depend on the endpoint.
max_completion_tokensintegerConditionalCaps generated tokens, including reasoning tokens where applicable. Use on endpoints that accept this field.
max_tokensintegerConditionalCompatibility field for the output token limit. Choose this field or max_completion_tokens according to the endpoint.
temperaturenumberConditionalControls sampling randomness. Accepted values and whether the field takes effect depend on the model and endpoint.
top_pnumberConditionalLimits sampling candidates by cumulative probability. Use when the model and endpoint support it.
response_formatobjectConditionalFor structured output, use type: json_object, or use type: json_schema with json_schema when the endpoint supports schemas.
reasoning_effortstringConditionalRequested reasoning effort. Available levels and whether reasoning can be disabled depend on the model and endpoint.
toolsobject[]ConditionalTool definitions available to the model. Tool types and parameter formats depend on the protocol and endpoint.
tool_choicestring / objectConditionalControls tool selection. Use a forced or named choice only when the selected endpoint supports it.

Request examples

Set your API key in the local ICODEEASY_API_KEY environment variable and choose an endpoint that accepts direct HTTP calls. For endpoints that require a specific client, follow that client’s setup guide.

OpenAI Responses

bash
curl -N -sS 'https://api.icodeeasy.cc/v1/responses' \
  -H "Authorization: Bearer $ICODEEASY_API_KEY" \
  -H 'Content-Type: application/json' \
  --data '{
  "model": "gpt-6.1-sol",
  "instructions": "You are a helpful assistant.",
  "input": [
    {
      "type": "message",
      "role": "user",
      "content": [
        {
          "type": "input_text",
          "text": "Explain how a rainbow forms in one sentence."
        }
      ]
    }
  ],
  "stream": true,
  "store": false
}'

Responses Compact

bash
curl -sS 'https://api.icodeeasy.cc/v1/responses/compact' \
  -H "Authorization: Bearer $ICODEEASY_API_KEY" \
  -H 'Content-Type: application/json' \
  --data '{
  "model": "gpt-6.1-sol",
  "input": "Explain how a rainbow forms in one sentence."
}'

Chat Completions

bash
curl -sS 'https://api.icodeeasy.cc/v1/chat/completions' \
  -H "Authorization: Bearer $ICODEEASY_API_KEY" \
  -H 'Content-Type: application/json' \
  --data '{
  "model": "gpt-6.1-sol",
  "messages": [
    {
      "role": "user",
      "content": "Explain how a rainbow forms in one sentence."
    }
  ],
  "stream": false
}'

Read the response

  • OpenAI Responses · In a stream, append the delta fields of response.output_text.delta events and handle completion and failure events. SSE
  • Chat Completions · Read text from choices[].message.content. In an SSE stream, incremental output appears in choices[].delta. JSON · SSE

Full integration guide

Capabilities and limits

  • streaming · Supported
  • tool_calling · Supported
  • image_input · Not published
  • video_input · Not supported

Compatibility aliases and retired redirects

  • gpt-6-sol, gpt-6-luna, gpt-5.6-terra, gpt-5.6-luna, gpt-5.6-sol, gpt-5.6-sol-272k → gpt-6.1-sol (Retired redirect)
  • gpt-6, gpt-5.6, gpt-5, gpt-5.1, gpt-5-mini, gpt-5.4, gpt-5.4-mini → gpt-6.1-sol (Alias)

Model Capability Catalog · View pricing

Related guides

Codex Setup

Install Codex CLI, store the API key in auth.json, configure the I Code Easy provider and Base URL, and start a first Codex session.

OpenAI Responses

Send input using the OpenAI Responses format. This page shows HTTP streaming. See the related guide for Codex client setup.

Codex config.toml: File Location, Settings & Examples

Find ~/.codex/config.toml, set the default model and reasoning effort, configure an API provider, and fix ignored settings or 401/429 errors.

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