{ "$schema": "https://json-schema.org/draft/2020-12/schema", "$id": "https://raw.githubusercontent.com/api-evangelist/moonshot-ai/main/json-schema/moonshot-ai-moonshot-v1-chat-request-schema.json", "title": "moonshot-v1", "x-generated": "2026-10-13", "x-method": "derived", "x-generator": "derive-json-schema.py", "x-source": "openapi/moonshot-ai-chat-completions-api-openapi.yml#/components/schemas/MoonshotV1ChatRequest", "allOf": [ { "$ref": "#/$defs/ChatRequestBase" }, { "type": "object", "properties": { "model": { "type": "string", "description": "Model ID", "enum": [ "moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k", "moonshot-v1-auto", "moonshot-v1-8k-vision-preview", "moonshot-v1-32k-vision-preview", "moonshot-v1-128k-vision-preview" ], "default": "moonshot-v1-128k" }, "temperature": { "type": "number", "format": "float", "description": "The sampling temperature to use, ranging from 0 to 1. A higher value (e.g., 0.7) will make the output more random, while a lower value (e.g., 0.2) will make it more focused and deterministic. Default is 0.0.", "default": 0, "minimum": 0, "maximum": 1 }, "top_p": { "type": "number", "format": "float", "description": "Another sampling method, where the model considers the results of tokens with a cumulative probability mass of top_p. Thus, 0.1 means only considering the top 10% of tokens by probability mass. Generally, we suggest changing either this or the temperature, but not both at the same time. Default is 1.0.", "default": 1, "minimum": 0, "maximum": 1 }, "n": { "type": "integer", "description": "The number of results to generate for each input message. Default is 1, must not exceed 5. When the temperature is very close to 0, only 1 result can be returned.", "default": 1, "minimum": 1, "maximum": 5 }, "presence_penalty": { "type": "number", "format": "float", "description": "Presence penalty, a number between -2.0 and 2.0. A positive value will penalize new tokens based on whether they appear in the text, increasing the likelihood of the model discussing new topics", "default": 0, "minimum": -2, "maximum": 2 }, "frequency_penalty": { "type": "number", "format": "float", "description": "Frequency penalty, a number between -2.0 and 2.0. A positive value will penalize new tokens based on their existing frequency in the text, reducing the likelihood of the model repeating the same phrases verbatim", "default": 0, "minimum": -2, "maximum": 2 } }, "required": [ "model" ] } ], "$defs": { "ChatRequestBase": { "type": "object", "properties": { "messages": { "type": "array", "description": "A list of messages in the conversation so far. Each element has the format {\"role\": \"user\", \"content\": \"Hello\"}. role supports system, user, or assistant. content must not be empty. The content field can be a string or an array[object] (for multimodal input).", "items": { "$ref": "#/$defs/Message" } }, "max_tokens": { "type": "integer", "deprecated": true, "description": "Deprecated, please refer to max_completion_tokens" }, "max_completion_tokens": { "type": "integer", "description": "The maximum number of tokens to generate for the chat completion. If not specified, defaults to a reasonable integer such as 1024. If the result reaches the maximum number of tokens without ending, the finish reason will be \"length\"; otherwise, it will be \"stop\". This refers to the length of tokens you expect us to return, not the total length of input plus output. If input plus max_completion_tokens exceeds the model context window, the API returns invalid_request_error." }, "response_format": { "type": "object", "description": "Controls the model output format. Default is {\"type\": \"text\"} for plain text output. Set to {\"type\": \"json_object\"} to enable JSON mode, ensuring output is a valid JSON object (you must guide the model to output JSON in the prompt). Set to {\"type\": \"json_schema\"} to enable Structured Output, constraining output to match a specified JSON Schema (recommended, requires the json_schema field). If you encounter schema validation issues, please submit feedback at walle GitHub Issues (https://github.com/MoonshotAI/walle/issues).", "properties": { "type": { "type": "string", "enum": [ "text", "json_object", "json_schema" ], "description": "Output format type. text: default, plain text output; json_object: ensures output is a valid JSON object; json_schema: constrains output to match a specified JSON Schema (recommended, requires the json_schema field)" }, "json_schema": { "type": "object", "description": "Used when type is json_schema. Defines the JSON Schema that the output should conform to.", "properties": { "name": { "type": "string", "description": "Schema name for identification" }, "strict": { "type": "boolean", "default": true, "description": "Whether to strictly constrain output according to the schema. Defaults to true. When true, the schema must conform to the MFJS specification; non-conforming schemas will return errors or warnings. When false, only guarantees the output is a valid JSON object without enforcing internal structure." }, "schema": { "type": "object", "description": "The JSON Schema object defining the structure the output should conform to. Must conform to MFJS (Moonshot Flavored JSON Schema) specification. You can use the walle CLI tool to validate: go install github.com/moonshotai/walle/cmd/walle@latest && walle -schema 'your_schema' -level strict", "additionalProperties": true } }, "required": [ "name", "schema" ] } } }, "stop": { "oneOf": [ { "type": "string" }, { "type": "array", "items": { "type": "string" }, "maxItems": 5 } ], "default": null, "description": "Stop words, which will halt the output when a full match is found. The matched words themselves will not be output. A maximum of 5 strings is allowed, and each string must not exceed 32 bytes" }, "stream": { "type": "boolean", "default": false, "description": "Whether to return the response in a streaming fashion. Default is false." }, "stream_options": { "type": "object", "description": "Options for streaming responses", "properties": { "include_usage": { "type": "boolean", "default": false, "description": "If set, an additional chunk will be streamed before the data: [DONE] message. The usage field on this chunk shows the token usage statistics for the entire request, and the choices field will always be an empty array. All other chunks will also include a usage field, but with a null value. NOTE: If the stream is interrupted, you may not receive the final usage chunk which contains the total token usage for the request" } } }, "tools": { "type": "array", "description": "A list of tools the model may call", "items": { "$ref": "#/$defs/ToolDefinition" }, "maxItems": 128 }, "prompt_cache_key": { "type": "string", "default": null, "description": "Used to cache responses for similar requests to optimize cache hit rates. For Coding Agents, this is typically a session id or task id representing a single session; if the session is exited and later resumed, this value should remain the same. For Kimi Code Plan, this field is required to improve cache hit rates. For other agents involving multi-turn conversations, it is also recommended to implement this field" }, "safety_identifier": { "type": "string", "description": "A stable identifier used to help detect users of your application that may be violating usage policies. The ID should be a string that uniquely identifies each user. It is recommended to hash the username or email address to avoid sending any identifying information" } }, "required": [ "messages" ] }, "Message": { "type": "object", "properties": { "role": { "type": "string", "enum": [ "system", "user", "assistant" ], "description": "The role of the message sender" }, "content": { "oneOf": [ { "type": "string" }, { "type": "array", "items": { "oneOf": [ { "title": "text", "type": "object", "properties": { "type": { "type": "string", "enum": [ "text" ] }, "text": { "type": "string" } }, "required": [ "type", "text" ] }, { "title": "image_url", "type": "object", "properties": { "type": { "type": "string", "enum": [ "image_url" ] }, "image_url": { "oneOf": [ { "type": "object", "properties": { "url": { "type": "string" } }, "required": [ "url" ] }, { "type": "string" } ] } }, "required": [ "type", "image_url" ] }, { "title": "video_url", "type": "object", "properties": { "type": { "type": "string", "enum": [ "video_url" ] }, "video_url": { "oneOf": [ { "type": "object", "properties": { "url": { "type": "string" } }, "required": [ "url" ] }, { "type": "string" } ] } }, "required": [ "type", "video_url" ] } ] } } ], "description": "The content of the message. Can be a plain text string, or an array of objects with text/image_url/video_url types (for multimodal input)" }, "name": { "type": "string", "default": null, "description": "Optional name for the message sender" }, "partial": { "type": "boolean", "default": false, "description": "Enable Partial Mode by setting this to true in the last assistant message" } }, "required": [ "role", "content" ] }, "ToolDefinition": { "type": "object", "properties": { "type": { "type": "string", "enum": [ "function" ] }, "function": { "type": "object", "properties": { "name": { "type": "string", "description": "Function name. Must follow the regex: ^[a-zA-Z_][a-zA-Z0-9-_]{2,63}$", "pattern": "^[a-zA-Z_][a-zA-Z0-9-_]{2,63}$" }, "description": { "type": "string", "description": "Description of what the function does" }, "parameters": { "type": "object", "description": "Function parameters as JSON Schema. Must conform to the MFJS (Moonshot Flavored JSON Schema) specification", "additionalProperties": true }, "strict": { "type": "boolean", "default": true, "description": "Whether to strictly constrain tool call arguments according to the parameters schema. Defaults to true. When false, only guarantees the output is a valid JSON object without enforcing internal structure." } }, "required": [ "name", "parameters" ] } }, "required": [ "type", "function" ] } } }