{ "name": "@cf/openai/gpt-oss-20b", "properties": [ { "property_id": "async_queue", "value": "true" }, { "property_id": "context_window", "value": "128000" }, { "property_id": "price", "value": [ { "unit": "per M input tokens", "price": 0.2, "currency": "USD" }, { "unit": "per M output tokens", "price": 0.3, "currency": "USD" } ] }, { "property_id": "function_calling", "value": "true" }, { "property_id": "reasoning", "value": "true" }, { "property_id": "reasoning_effort", "value": { "supported_efforts": [ "low", "medium", "high" ], "default_effort": "medium", "mandatory": true, "default_enabled": true } } ], "id": "188a4e1e-253e-46d0-9616-0bf8c149763f", "source": 1, "description": "OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases – gpt-oss-20b is for lower latency, and local or specialized use-cases.", "task": { "id": "c329a1f9-323d-4e91-b2aa-582dd4188d34", "name": "Text Generation", "description": "Family of generative text models, such as large language models (LLM), that can be adapted for a variety of natural language tasks." }, "created_at": "2025-08-05 10:49:53.265", "tags": [], "schema": { "input": { "oneOf": [ { "type": "object", "oneOf": [ { "title": "Prompt", "properties": { "prompt": { "type": "string", "minLength": 1, "description": "The input text prompt for the model to generate a response." }, "lora": { "type": "string", "description": "Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model." }, "response_format": { "title": "JSON Mode", "type": "object", "properties": { "type": { "type": "string", "enum": [ "json_object", "json_schema" ] }, "json_schema": {} } }, "raw": { "type": "boolean", "default": false, "description": "If true, a chat template is not applied and you must adhere to the specific model's expected formatting." }, "stream": { "type": "boolean", "default": false, "description": "If true, the response will be streamed back incrementally using SSE, Server Sent Events." }, "max_tokens": { "type": "integer", "default": 256, "description": "The maximum number of tokens to generate in the response." }, "temperature": { "type": "number", "default": 0.6, "minimum": 0, "maximum": 5, "description": "Controls the randomness of the output; higher values produce more random results." }, "top_p": { "type": "number", "minimum": 0.001, "maximum": 1, "description": "Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses." }, "top_k": { "type": "integer", "minimum": 1, "maximum": 50, "description": "Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises." }, "seed": { "type": "integer", "minimum": 1, "maximum": 9999999999, "description": "Random seed for reproducibility of the generation." }, "repetition_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Penalty for repeated tokens; higher values discourage repetition." }, "frequency_penalty": { "type": "number", "minimum": -2, "maximum": 2, "description": "Decreases the likelihood of the model repeating the same lines verbatim." }, "presence_penalty": { "type": "number", "minimum": -2, "maximum": 2, "description": "Increases the likelihood of the model introducing new topics." } }, "required": [ "prompt" ] }, { "title": "Messages", "properties": { "messages": { "type": "array", "description": "An array of message objects representing the conversation history.", "items": { "type": "object", "properties": { "role": { "type": "string", "description": "The role of the message sender (e.g., 'user', 'assistant', 'system', 'tool')." }, "content": { "oneOf": [ { "type": "string", "description": "The content of the message as a string." }, { "type": "array", "description": "Array of text content parts.", "items": { "type": "object", "properties": { "type": { "type": "string", "description": "Type of the content (text)" }, "text": { "type": "string", "description": "Text content" } } } } ] } }, "required": [ "role", "content" ] } }, "functions": { "type": "array", "items": { "type": "object", "properties": { "name": { "type": "string" }, "code": { "type": "string" } }, "required": [ "name", "code" ] } }, "tools": { "type": "array", "description": "A list of tools available for the assistant to use.", "items": { "type": "object", "oneOf": [ { "properties": { "name": { "type": "string", "description": "The name of the tool. More descriptive the better." }, "description": { "type": "string", "description": "A brief description of what the tool does." }, "parameters": { "type": "object", "description": "Schema defining the parameters accepted by the tool.", "properties": { "type": { "type": "string", "description": "The type of the parameters object (usually 'object')." }, "required": { "type": "array", "description": "List of required parameter names.", "items": { "type": "string" } }, "properties": { "type": "object", "description": "Definitions of each parameter.", "additionalProperties": { "type": "object", "properties": { "type": { "type": "string", "description": "The data type of the parameter." }, "description": { "type": "string", "description": "A description of the expected parameter." } }, "required": [ "type", "description" ] } } }, "required": [ "type", "properties" ] } }, "required": [ "name", "description", "parameters" ] }, { "properties": { "type": { "type": "string", "description": "Specifies the type of tool (e.g., 'function')." }, "function": { "type": "object", "description": "Details of the function tool.", "properties": { "name": { "type": "string", "description": "The name of the function." }, "description": { "type": "string", "description": "A brief description of what the function does." }, "parameters": { "type": "object", "description": "Schema defining the parameters accepted by the function.", "properties": { "type": { "type": "string", "description": "The type of the parameters object (usually 'object')." }, "required": { "type": "array", "description": "List of required parameter names.", "items": { "type": "string" } }, "properties": { "type": "object", "description": "Definitions of each parameter.", "additionalProperties": { "type": "object", "properties": { "type": { "type": "string", "description": "The data type of the parameter." }, "description": { "type": "string", "description": "A description of the expected parameter." } }, "required": [ "type", "description" ] } } }, "required": [ "type", "properties" ] } }, "required": [ "name", "description", "parameters" ] } }, "required": [ "type", "function" ] } ] } }, "response_format": { "title": "JSON Mode", "type": "object", "properties": { "type": { "type": "string", "enum": [ "json_object", "json_schema" ] }, "json_schema": {} } }, "raw": { "type": "boolean", "default": false, "description": "If true, a chat template is not applied and you must adhere to the specific model's expected formatting." }, "stream": { "type": "boolean", "default": false, "description": "If true, the response will be streamed back incrementally using SSE, Server Sent Events." }, "max_tokens": { "type": "integer", "default": 256, "description": "The maximum number of tokens to generate in the response." }, "temperature": { "type": "number", "default": 0.6, "minimum": 0, "maximum": 5, "description": "Controls the randomness of the output; higher values produce more random results." }, "top_p": { "type": "number", "minimum": 0.001, "maximum": 1, "description": "Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses." }, "top_k": { "type": "integer", "minimum": 1, "maximum": 50, "description": "Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises." }, "seed": { "type": "integer", "minimum": 1, "maximum": 9999999999, "description": "Random seed for reproducibility of the generation." }, "repetition_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Penalty for repeated tokens; higher values discourage repetition." }, "frequency_penalty": { "type": "number", "minimum": -2, "maximum": 2, "description": "Decreases the likelihood of the model repeating the same lines verbatim." }, "presence_penalty": { "type": "number", "minimum": -2, "maximum": 2, "description": "Increases the likelihood of the model introducing new topics." } }, "required": [ "messages" ] } ] }, { "type": "object", "title": "Responses", "properties": { "input": { "anyOf": [ { "type": "string" }, { "items": {}, "type": "array" } ], "description": "Responses API Input messages. Refer to OpenAI Responses API docs to learn more about supported content types" }, "reasoning": { "type": "object", "properties": { "effort": { "type": "string", "enum": [ "low", "medium", "high" ], "description": "Reasoning effort. Supported levels: low, medium, high. Reasoning cannot be disabled.", "default": "medium" }, "summary": { "type": "string", "description": "A summary of the reasoning performed by the model. This can be useful for debugging and understanding the model's reasoning process. One of auto, concise, or detailed.", "enum": [ "auto", "concise", "detailed" ] } } } }, "required": [ "input" ] }, { "type": "object", "title": "Responses_Async", "properties": { "requests": { "type": "array", "items": { "type": "object", "properties": { "input": { "anyOf": [ { "type": "string" }, { "items": {}, "type": "array" } ], "description": "Responses API Input messages. Refer to OpenAI Responses API docs to learn more about supported content types" }, "reasoning": { "type": "object", "properties": { "effort": { "type": "string", "enum": [ "low", "medium", "high" ], "description": "Reasoning effort. Supported levels: low, medium, high. Reasoning cannot be disabled.", "default": "medium" }, "summary": { "type": "string", "description": "A summary of the reasoning performed by the model. This can be useful for debugging and understanding the model's reasoning process. One of auto, concise, or detailed.", "enum": [ "auto", "concise", "detailed" ] } } } }, "required": [ "input" ] } } }, "required": [ "requests" ] } ] }, "output": { "oneOf": [ { "type": "object", "contentType": "application/json" }, { "type": "string", "contentType": "text/event-stream", "format": "binary" } ] } }, "deprecated": false }