a29ffeee4c
Added to OpenAI and Azure GPT-5.1: adaptive reasoning GPT-5.1-codex: advanced coding workflows GPT-5.1-codex-mini: compact and efficient <!-- This is an auto-generated description by cubic. --> --- ## Summary by cubic Added support for OpenAI and Azure GPT-5.1, including GPT-5.1 Codex and Codex Mini, for smarter conversations and better coding tasks. All models use a 400k context window, require temperature 1, and leave max output tokens unspecified to align with API behavior. <sup>Written for commit 9788541c88732aa7d522fc70bfb20f22c3544982. Summary will update automatically on new commits.</sup> <!-- End of auto-generated description by cubic. --> <!-- CURSOR_SUMMARY --> --- > [!NOTE] > Adds GPT-5.1, GPT-5.1 Codex, and Codex Mini to OpenAI and Azure model catalogs with 400k context and temperature 1 (max output tokens unspecified). > > - **Model registry updates (`src/ipc/shared/language_model_constants.ts`)**: > - **OpenAI**: > - Add `gpt-5.1`, `gpt-5.1-codex`, `gpt-5.1-codex-mini` (400k `contextWindow`, `temperature: 1`, `maxOutputTokens: undefined`). > - Keep existing `gpt-5`, `gpt-5-codex`, `gpt-5-mini`, `gpt-5-nano`, `o4-mini`. > - **Azure**: > - Add `gpt-5.1`, `gpt-5.1-codex`, `gpt-5.1-codex-mini` with matching settings (400k `contextWindow`, `temperature: 1`). > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 9788541c88732aa7d522fc70bfb20f22c3544982. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup> <!-- /CURSOR_SUMMARY --> --------- Co-authored-by: Will Chen <willchen90@gmail.com>
601 lines
17 KiB
TypeScript
601 lines
17 KiB
TypeScript
import { LanguageModel } from "../ipc_types";
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export const PROVIDERS_THAT_SUPPORT_THINKING: (keyof typeof MODEL_OPTIONS)[] = [
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"google",
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"vertex",
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"auto",
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];
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export interface ModelOption {
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name: string;
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displayName: string;
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description: string;
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dollarSigns?: number;
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temperature?: number;
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tag?: string;
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tagColor?: string;
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maxOutputTokens?: number;
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contextWindow?: number;
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}
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export const MODEL_OPTIONS: Record<string, ModelOption[]> = {
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openai: [
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// https://platform.openai.com/docs/models/gpt-5.1
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{
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name: "gpt-5.1",
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displayName: "GPT 5.1",
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description:
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"OpenAI's flagship model- smarter, faster, and more conversational",
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// Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
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maxOutputTokens: undefined,
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contextWindow: 400_000,
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// Requires temperature to be default value (1)
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temperature: 1,
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dollarSigns: 3,
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},
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// https://platform.openai.com/docs/models/gpt-5.1-codex
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{
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name: "gpt-5.1-codex",
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displayName: "GPT 5.1 Codex",
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description: "OpenAI's advanced coding workflows",
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// Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
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maxOutputTokens: undefined,
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contextWindow: 400_000,
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// Requires temperature to be default value (1)
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temperature: 1,
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dollarSigns: 3,
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},
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// https://platform.openai.com/docs/models/gpt-5.1-codex-mini
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{
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name: "gpt-5.1-codex-mini",
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displayName: "GPT 5.1 Codex Mini",
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description: "OpenAI's compact and efficient coding model",
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// Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
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maxOutputTokens: undefined,
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contextWindow: 400_000,
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// Requires temperature to be default value (1)
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temperature: 1,
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dollarSigns: 2,
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},
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// https://platform.openai.com/docs/models/gpt-5
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{
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name: "gpt-5",
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displayName: "GPT 5",
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description: "OpenAI's flagship model",
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// Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
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maxOutputTokens: undefined,
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contextWindow: 400_000,
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// Requires temperature to be default value (1)
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temperature: 1,
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dollarSigns: 3,
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},
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// https://platform.openai.com/docs/models/gpt-5-codex
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{
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name: "gpt-5-codex",
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displayName: "GPT 5 Codex",
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description: "OpenAI's flagship model optimized for coding",
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// Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
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maxOutputTokens: undefined,
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contextWindow: 400_000,
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// Requires temperature to be default value (1)
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temperature: 1,
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dollarSigns: 3,
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},
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// https://platform.openai.com/docs/models/gpt-5-mini
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{
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name: "gpt-5-mini",
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displayName: "GPT 5 Mini",
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description: "OpenAI's lightweight, but intelligent model",
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// Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
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maxOutputTokens: undefined,
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contextWindow: 400_000,
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// Requires temperature to be default value (1)
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temperature: 1,
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dollarSigns: 2,
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},
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// https://platform.openai.com/docs/models/gpt-5-nano
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{
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name: "gpt-5-nano",
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displayName: "GPT 5 Nano",
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description: "Fastest, most cost-efficient version of GPT-5",
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// Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
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maxOutputTokens: undefined,
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contextWindow: 400_000,
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// Requires temperature to be default value (1)
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temperature: 1,
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dollarSigns: 1,
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},
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// https://platform.openai.com/docs/models/o4-mini
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{
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name: "o4-mini",
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displayName: "o4 mini",
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description: "Reasoning model",
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// Technically the max output tokens is 100k, *however* if the user has a lot of input tokens,
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// then setting a high max output token will cause the request to fail because
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// the max output tokens is *included* in the context window limit.
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maxOutputTokens: 32_000,
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contextWindow: 200_000,
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temperature: 0,
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dollarSigns: 2,
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},
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],
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// https://docs.anthropic.com/en/docs/about-claude/models/all-models#model-comparison-table
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anthropic: [
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{
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name: "claude-sonnet-4-5-20250929",
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displayName: "Claude 4.5 Sonnet",
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description:
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"Anthropic's best model for coding (note: >200k tokens is very expensive!)",
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// Set to 32k since context window is 1M tokens
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maxOutputTokens: 32_000,
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contextWindow: 1_000_000,
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temperature: 0,
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dollarSigns: 5,
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},
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{
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name: "claude-sonnet-4-20250514",
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displayName: "Claude 4 Sonnet",
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description: "Excellent coder (note: >200k tokens is very expensive!)",
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// Set to 32k since context window is 1M tokens
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maxOutputTokens: 32_000,
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contextWindow: 1_000_000,
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temperature: 0,
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dollarSigns: 5,
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},
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{
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name: "claude-3-7-sonnet-latest",
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displayName: "Claude 3.7 Sonnet",
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description: "Excellent coder",
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// Technically the max output tokens is 64k, *however* if the user has a lot of input tokens,
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// then setting a high max output token will cause the request to fail because
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// the max output tokens is *included* in the context window limit, see:
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// https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#max-tokens-and-context-window-size-with-extended-thinking
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maxOutputTokens: 16_000,
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contextWindow: 200_000,
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temperature: 0,
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dollarSigns: 4,
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},
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{
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name: "claude-3-5-sonnet-20241022",
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displayName: "Claude 3.5 Sonnet",
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description: "Good coder, excellent at following instructions",
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maxOutputTokens: 8_000,
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contextWindow: 200_000,
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temperature: 0,
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dollarSigns: 4,
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},
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{
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name: "claude-3-5-haiku-20241022",
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displayName: "Claude 3.5 Haiku",
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description: "Lightweight coder",
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maxOutputTokens: 8_000,
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contextWindow: 200_000,
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temperature: 0,
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dollarSigns: 2,
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},
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],
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google: [
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// https://ai.google.dev/gemini-api/docs/models#gemini-2.5-pro-preview-03-25
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{
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name: "gemini-2.5-pro",
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displayName: "Gemini 2.5 Pro",
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description: "Google's Gemini 2.5 Pro model",
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// See Flash 2.5 comment below (go 1 below just to be safe, even though it seems OK now).
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maxOutputTokens: 65_536 - 1,
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// Gemini context window = input token + output token
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contextWindow: 1_048_576,
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temperature: 0,
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dollarSigns: 3,
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},
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// https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-preview
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{
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name: "gemini-flash-latest",
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displayName: "Gemini 2.5 Flash",
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description: "Google's Gemini 2.5 Flash model (free tier available)",
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// Weirdly for Vertex AI, the output token limit is *exclusive* of the stated limit.
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maxOutputTokens: 65_536 - 1,
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// Gemini context window = input token + output token
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contextWindow: 1_048_576,
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temperature: 0,
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dollarSigns: 2,
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},
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],
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vertex: [
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// Vertex Gemini 2.5 Pro
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{
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name: "gemini-2.5-pro",
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displayName: "Gemini 2.5 Pro",
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description: "Vertex Gemini 2.5 Pro",
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maxOutputTokens: 65_536 - 1,
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contextWindow: 1_048_576,
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temperature: 0,
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},
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// Vertex Gemini 2.5 Flash
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{
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name: "gemini-flash-latest",
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displayName: "Gemini 2.5 Flash",
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description: "Vertex Gemini 2.5 Flash",
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maxOutputTokens: 65_536 - 1,
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contextWindow: 1_048_576,
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temperature: 0,
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},
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],
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openrouter: [
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{
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name: "qwen/qwen3-coder:free",
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displayName: "Qwen3 Coder (free)",
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description: "Use for free (data may be used for training)",
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maxOutputTokens: 32_000,
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contextWindow: 262_000,
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temperature: 0,
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dollarSigns: 0,
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},
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// https://openrouter.ai/deepseek/deepseek-chat-v3-0324:free
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{
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name: "deepseek/deepseek-chat-v3.1:free",
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displayName: "DeepSeek v3.1 (free)",
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description: "Use for free (data may be used for training)",
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maxOutputTokens: 32_000,
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contextWindow: 128_000,
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temperature: 0,
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dollarSigns: 0,
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},
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{
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name: "deepseek/deepseek-chat-v3-0324:free",
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displayName: "DeepSeek v3 (free)",
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description: "Use for free (data may be used for training)",
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maxOutputTokens: 32_000,
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contextWindow: 128_000,
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temperature: 0,
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dollarSigns: 0,
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},
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{
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name: "z-ai/glm-4.6",
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displayName: "GLM 4.6",
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description: "Z-AI's best coding model",
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maxOutputTokens: 32_000,
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contextWindow: 200_000,
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temperature: 0,
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dollarSigns: 2,
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},
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{
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name: "qwen/qwen3-coder",
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displayName: "Qwen3 Coder",
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description: "Qwen's best coding model",
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maxOutputTokens: 32_000,
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contextWindow: 262_000,
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temperature: 0,
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dollarSigns: 2,
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},
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{
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name: "deepseek/deepseek-chat-v3.1",
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displayName: "DeepSeek v3.1",
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description: "Strong cost-effective model with optional thinking",
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maxOutputTokens: 32_000,
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contextWindow: 128_000,
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temperature: 0,
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dollarSigns: 2,
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},
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// https://openrouter.ai/moonshotai/kimi-k2
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{
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name: "moonshotai/kimi-k2-0905",
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displayName: "Kimi K2",
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description: "Powerful cost-effective model (updated to 0905)",
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maxOutputTokens: 32_000,
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contextWindow: 256_000,
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temperature: 0,
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dollarSigns: 2,
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},
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],
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auto: [
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{
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name: "auto",
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displayName: "Auto",
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description: "Automatically selects the best model",
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tag: "Default",
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// These are below Gemini 2.5 Pro & Flash limits
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// which are the ones defaulted to for both regular auto
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// and smart auto.
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maxOutputTokens: 32_000,
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contextWindow: 1_000_000,
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temperature: 0,
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},
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{
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name: "free",
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displayName: "Free (OpenRouter)",
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description: "Selects from one of the free OpenRouter models",
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tag: "Free",
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// These are below Gemini 2.5 Pro & Flash limits
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// which are the ones defaulted to for both regular auto
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// and smart auto.
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maxOutputTokens: 32_000,
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contextWindow: 128_000,
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temperature: 0,
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},
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{
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name: "turbo",
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displayName: "Turbo (Pro)",
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description: "Use very fast open-source frontier models",
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maxOutputTokens: 32_000,
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contextWindow: 256_000,
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temperature: 0,
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tag: "Fast",
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tagColor: "bg-rose-800 text-white",
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},
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{
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name: "value",
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displayName: "Super Value (Pro)",
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description: "Uses the most cost-effective models available",
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maxOutputTokens: 32_000,
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contextWindow: 256_000,
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temperature: 0,
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tag: "Budget",
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tagColor: "bg-emerald-700 text-white",
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},
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],
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azure: [
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{
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name: "gpt-5.1",
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displayName: "GPT-5.1",
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description: "Azure OpenAI GPT-5.1 model",
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// See OpenAI comment above
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// maxOutputTokens: 128_000,
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contextWindow: 400_000,
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temperature: 1,
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},
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{
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name: "gpt-5.1-codex",
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displayName: "GPT-5.1 Codex",
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description: "Azure OpenAI GPT-5.1 Codex model",
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// See OpenAI comment above
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// maxOutputTokens: 128_000,
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contextWindow: 400_000,
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temperature: 1,
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},
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{
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name: "gpt-5.1-codex-mini",
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displayName: "GPT-5.1 Codex Mini",
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description: "Azure OpenAI GPT-5.1 Codex Mini model",
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// See OpenAI comment above
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// maxOutputTokens: 128_000,
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contextWindow: 400_000,
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temperature: 1,
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},
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{
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name: "gpt-5-codex",
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displayName: "GPT-5 Codex",
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description: "Azure OpenAI GPT-5 Codex model",
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// See OpenAI comment above
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// maxOutputTokens: 128_000,
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contextWindow: 400_000,
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temperature: 1,
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},
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{
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name: "gpt-5",
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displayName: "GPT-5",
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description: "Azure OpenAI GPT-5 model with reasoning capabilities",
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// See OpenAI comment above
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// maxOutputTokens: 128_000,
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contextWindow: 400_000,
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temperature: 1,
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},
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{
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name: "gpt-5-mini",
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displayName: "GPT-5 Mini",
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description: "Azure OpenAI GPT-5 Mini model",
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// See OpenAI comment above
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// maxOutputTokens: 128_000,
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contextWindow: 400_000,
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temperature: 1,
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},
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{
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name: "gpt-5-nano",
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displayName: "GPT-5 Nano",
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description: "Azure OpenAI GPT-5 Nano model",
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// See OpenAI comment above
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// maxOutputTokens: 128_000,
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contextWindow: 400_000,
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temperature: 1,
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},
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{
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name: "gpt-5-chat",
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displayName: "GPT-5 Chat",
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description: "Azure OpenAI GPT-5 Chat model",
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// See OpenAI comment above
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// maxOutputTokens: 16_384,
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contextWindow: 128_000,
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temperature: 1,
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},
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],
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xai: [
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// https://docs.x.ai/docs/models
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{
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name: "grok-code-fast-1",
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displayName: "Grok Code Fast",
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description: "Fast coding model",
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maxOutputTokens: 32_000,
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contextWindow: 256_000,
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temperature: 0,
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dollarSigns: 1,
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},
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{
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name: "grok-4",
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displayName: "Grok 4",
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description: "Most capable coding model",
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maxOutputTokens: 32_000,
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contextWindow: 256_000,
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temperature: 0,
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dollarSigns: 4,
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},
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{
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name: "grok-3",
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displayName: "Grok 3",
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description: "Powerful coding model",
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maxOutputTokens: 32_000,
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contextWindow: 131_072,
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temperature: 0,
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dollarSigns: 4,
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},
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],
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bedrock: [
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{
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name: "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
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displayName: "Claude 4.5 Sonnet",
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description:
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"Anthropic's best model for coding (note: >200k tokens is very expensive!)",
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maxOutputTokens: 32_000,
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contextWindow: 1_000_000,
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temperature: 0,
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},
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{
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name: "us.anthropic.claude-sonnet-4-20250514-v1:0",
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displayName: "Claude 4 Sonnet",
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description: "Excellent coder (note: >200k tokens is very expensive!)",
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maxOutputTokens: 32_000,
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contextWindow: 1_000_000,
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temperature: 0,
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},
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{
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name: "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
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displayName: "Claude 3.7 Sonnet",
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description: "Excellent coder",
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maxOutputTokens: 16_000,
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contextWindow: 200_000,
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temperature: 0,
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},
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{
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name: "us.anthropic.claude-3-5-sonnet-20241022-v2:0",
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displayName: "Claude 3.5 Sonnet",
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description: "Good coder, excellent at following instructions",
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maxOutputTokens: 8_000,
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contextWindow: 200_000,
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temperature: 0,
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},
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],
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|
};
|
|
|
|
export const TURBO_MODELS: LanguageModel[] = [
|
|
{
|
|
apiName: "glm-4.6:turbo",
|
|
displayName: "GLM 4.6",
|
|
description: "Strong coding model (very fast)",
|
|
maxOutputTokens: 32_000,
|
|
contextWindow: 131_000,
|
|
temperature: 0,
|
|
dollarSigns: 3,
|
|
type: "cloud",
|
|
},
|
|
{
|
|
apiName: "kimi-k2:turbo",
|
|
displayName: "Kimi K2",
|
|
description: "Kimi 0905 update (fast)",
|
|
maxOutputTokens: 16_000,
|
|
contextWindow: 256_000,
|
|
temperature: 0,
|
|
dollarSigns: 2,
|
|
type: "cloud",
|
|
},
|
|
];
|
|
|
|
export const FREE_OPENROUTER_MODEL_NAMES = MODEL_OPTIONS.openrouter
|
|
.filter((model) => model.name.endsWith(":free"))
|
|
.map((model) => model.name);
|
|
|
|
export const PROVIDER_TO_ENV_VAR: Record<string, string> = {
|
|
openai: "OPENAI_API_KEY",
|
|
anthropic: "ANTHROPIC_API_KEY",
|
|
google: "GEMINI_API_KEY",
|
|
openrouter: "OPENROUTER_API_KEY",
|
|
azure: "AZURE_API_KEY",
|
|
xai: "XAI_API_KEY",
|
|
bedrock: "AWS_BEARER_TOKEN_BEDROCK",
|
|
};
|
|
|
|
export const CLOUD_PROVIDERS: Record<
|
|
string,
|
|
{
|
|
displayName: string;
|
|
hasFreeTier?: boolean;
|
|
websiteUrl?: string;
|
|
gatewayPrefix: string;
|
|
secondary?: boolean;
|
|
}
|
|
> = {
|
|
openai: {
|
|
displayName: "OpenAI",
|
|
hasFreeTier: false,
|
|
websiteUrl: "https://platform.openai.com/api-keys",
|
|
gatewayPrefix: "",
|
|
},
|
|
anthropic: {
|
|
displayName: "Anthropic",
|
|
hasFreeTier: false,
|
|
websiteUrl: "https://console.anthropic.com/settings/keys",
|
|
gatewayPrefix: "anthropic/",
|
|
},
|
|
google: {
|
|
displayName: "Google",
|
|
hasFreeTier: true,
|
|
websiteUrl: "https://aistudio.google.com/app/apikey",
|
|
gatewayPrefix: "gemini/",
|
|
},
|
|
vertex: {
|
|
displayName: "Google Vertex AI",
|
|
hasFreeTier: false,
|
|
websiteUrl: "https://console.cloud.google.com/vertex-ai",
|
|
// Use the same gateway prefix as Google Gemini for Dyad Pro compatibility.
|
|
gatewayPrefix: "gemini/",
|
|
secondary: true,
|
|
},
|
|
openrouter: {
|
|
displayName: "OpenRouter",
|
|
hasFreeTier: true,
|
|
websiteUrl: "https://openrouter.ai/settings/keys",
|
|
gatewayPrefix: "openrouter/",
|
|
},
|
|
auto: {
|
|
displayName: "Dyad",
|
|
websiteUrl: "https://academy.dyad.sh/settings",
|
|
gatewayPrefix: "dyad/",
|
|
},
|
|
azure: {
|
|
displayName: "Azure OpenAI",
|
|
hasFreeTier: false,
|
|
websiteUrl: "https://portal.azure.com/",
|
|
gatewayPrefix: "",
|
|
secondary: true,
|
|
},
|
|
xai: {
|
|
displayName: "xAI",
|
|
hasFreeTier: false,
|
|
websiteUrl: "https://console.x.ai/",
|
|
gatewayPrefix: "xai/",
|
|
secondary: true,
|
|
},
|
|
bedrock: {
|
|
displayName: "AWS Bedrock",
|
|
hasFreeTier: false,
|
|
websiteUrl: "https://console.aws.amazon.com/bedrock/",
|
|
gatewayPrefix: "bedrock/",
|
|
secondary: true,
|
|
},
|
|
};
|
|
|
|
export const LOCAL_PROVIDERS: Record<
|
|
string,
|
|
{
|
|
displayName: string;
|
|
hasFreeTier: boolean;
|
|
}
|
|
> = {
|
|
ollama: {
|
|
displayName: "Ollama",
|
|
hasFreeTier: true,
|
|
},
|
|
lmstudio: {
|
|
displayName: "LM Studio",
|
|
hasFreeTier: true,
|
|
},
|
|
};
|