Turbo models (#1249)

<!-- This is an auto-generated description by cubic. -->

## Summary by cubic
Adds “Dyad Turbo” models for Pro users and centralizes model/provider
constants. Pro users can pick fast, cost‑effective models directly from
the ModelPicker, with clearer labels and gating.

- **New Features**
- Added Dyad Turbo provider in ModelPicker with Qwen3 Coder and Kimi K2
(Pro only).
- Turbo options are hidden for non‑Pro users; “Pro only” badge shown
where applicable.
- “Smart Auto” label now applies only to the Auto model to avoid
confusion.

- **Refactors**
- Moved all model/provider constants into language_model_constants.ts
and updated imports (helpers, client, thinking utils).

<!-- End of auto-generated description by cubic. -->

src/components/ModelPicker.tsx

@@ -25,6 +25,7 @@ import { LocalModel } from "@/ipc/ipc_types";
 import { useLanguageModelProviders } from "@/hooks/useLanguageModelProviders";
 import { useSettings } from "@/hooks/useSettings";
 import { PriceBadge } from "@/components/PriceBadge";
+import { TURBO_MODELS } from "@/ipc/shared/language_model_constants";
 
 export function ModelPicker() {
   const { settings, updateSettings } = useSettings();
@@ -108,6 +109,13 @@ export function ModelPicker() {
   const autoModels =
     !loading && modelsByProviders && modelsByProviders["auto"]
       ? modelsByProviders["auto"].filter((model) => {
+          if (
+            settings &&
+            !isDyadProEnabled(settings) &&
+            model.apiName === "turbo"
+          ) {
+            return false;
+          }
           if (
             settings &&
             isDyadProEnabled(settings) &&
@@ -144,6 +152,9 @@ export function ModelPicker() {
     const provider = providers?.find((p) => p.id === providerId);
     return !(provider && provider.secondary);
   });
+  if (settings && isDyadProEnabled(settings)) {
+    primaryProviders.unshift(["auto", TURBO_MODELS]);
+  }
   const secondaryProviders = providerEntries.filter(([providerId, models]) => {
     if (models.length === 0) return false;
     const provider = providers?.find((p) => p.id === providerId);
@@ -220,7 +231,7 @@ export function ModelPicker() {
                         <div className="flex justify-between items-start w-full">
                           <span className="flex flex-col items-start">
                             <span>
-                              {isSmartAutoEnabled
+                              {isSmartAutoEnabled && model.apiName === "auto"
                                 ? "Smart Auto"
                                 : model.displayName}
                             </span>
@@ -228,7 +239,7 @@ export function ModelPicker() {
                           <div className="flex items-center gap-1.5">
                             {isSmartAutoEnabled && (
                               <span className="text-[10px] bg-gradient-to-r from-indigo-600 via-indigo-500 to-indigo-600 bg-[length:200%_100%] animate-[shimmer_5s_ease-in-out_infinite] text-white px-1.5 py-0.5 rounded-full font-medium">
-                                Dyad Pro
+                                Pro only
                               </span>
                             )}
                             {model.tag && (
@@ -241,7 +252,7 @@ export function ModelPicker() {
                       </DropdownMenuItem>
                     </TooltipTrigger>
                     <TooltipContent side="right">
-                      {isSmartAutoEnabled ? (
+                      {isSmartAutoEnabled && model.apiName === "auto" ? (
                         <p>
                           <strong>Smart Auto</strong> uses a cheaper model for
                           easier tasks
@@ -274,12 +285,16 @@ export function ModelPicker() {
                 return true;
               });
               const provider = providers?.find((p) => p.id === providerId);
+              const providerDisplayName =
+                provider?.id === "auto"
+                  ? "Dyad Turbo"
+                  : (provider?.name ?? providerId);
               return (
                 <DropdownMenuSub key={providerId}>
                   <DropdownMenuSubTrigger className="w-full font-normal">
                     <div className="flex flex-col items-start w-full">
                       <div className="flex items-center gap-2">
-                        <span>{provider?.name ?? providerId}</span>
+                        <span>{providerDisplayName}</span>
                         {provider?.type === "cloud" &&
                           !provider?.secondary &&
                           isDyadProEnabled(settings) && (
@@ -300,7 +315,7 @@ export function ModelPicker() {
                   </DropdownMenuSubTrigger>
                   <DropdownMenuSubContent className="w-56">
                     <DropdownMenuLabel>
-                      {(provider?.name ?? providerId) + " Models"}
+                      {providerDisplayName + " Models"}
                     </DropdownMenuLabel>
                     <DropdownMenuSeparator />
                     {models.map((model) => (

src/ipc/shared/language_model_constants.ts

@@ -0,0 +1,468 @@
+import { LanguageModel } from "../ipc_types";
+
+export const PROVIDERS_THAT_SUPPORT_THINKING: (keyof typeof MODEL_OPTIONS)[] = [
+  "google",
+  "vertex",
+  "auto",
+];
+
+export interface ModelOption {
+  name: string;
+  displayName: string;
+  description: string;
+  dollarSigns?: number;
+  temperature?: number;
+  tag?: string;
+  maxOutputTokens?: number;
+  contextWindow?: number;
+}
+
+export const MODEL_OPTIONS: Record<string, ModelOption[]> = {
+  openai: [
+    // https://platform.openai.com/docs/models/gpt-5
+    {
+      name: "gpt-5",
+      displayName: "GPT 5",
+      description: "OpenAI's flagship model",
+      // Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
+      maxOutputTokens: undefined,
+      contextWindow: 400_000,
+      // Requires temperature to be default value (1)
+      temperature: 1,
+      dollarSigns: 3,
+    },
+    // https://platform.openai.com/docs/models/gpt-5-mini
+    {
+      name: "gpt-5-mini",
+      displayName: "GPT 5 Mini",
+      description: "OpenAI's lightweight, but intelligent model",
+      // Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
+      maxOutputTokens: undefined,
+      contextWindow: 400_000,
+      // Requires temperature to be default value (1)
+      temperature: 1,
+      dollarSigns: 2,
+    },
+    // https://platform.openai.com/docs/models/gpt-5-nano
+    {
+      name: "gpt-5-nano",
+      displayName: "GPT 5 Nano",
+      description: "Fastest, most cost-efficient version of GPT-5",
+      // Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
+      maxOutputTokens: undefined,
+      contextWindow: 400_000,
+      // Requires temperature to be default value (1)
+      temperature: 1,
+      dollarSigns: 1,
+    },
+    // https://platform.openai.com/docs/models/o4-mini
+    {
+      name: "o4-mini",
+      displayName: "o4 mini",
+      description: "Reasoning model",
+      // Technically the max output tokens is 100k, *however* if the user has a lot of input tokens,
+      // then setting a high max output token will cause the request to fail because
+      // the max output tokens is *included* in the context window limit.
+      maxOutputTokens: 32_000,
+      contextWindow: 200_000,
+      temperature: 0,
+      dollarSigns: 2,
+    },
+  ],
+  // https://docs.anthropic.com/en/docs/about-claude/models/all-models#model-comparison-table
+  anthropic: [
+    {
+      name: "claude-sonnet-4-20250514",
+      displayName: "Claude 4 Sonnet",
+      description: "Excellent coder (note: >200k tokens is very expensive!)",
+      // See comment below for Claude 3.7 Sonnet for why we set this to 16k
+      maxOutputTokens: 16_000,
+      contextWindow: 1_000_000,
+      temperature: 0,
+      dollarSigns: 5,
+    },
+    {
+      name: "claude-3-7-sonnet-latest",
+      displayName: "Claude 3.7 Sonnet",
+      description: "Excellent coder",
+      // Technically the max output tokens is 64k, *however* if the user has a lot of input tokens,
+      // then setting a high max output token will cause the request to fail because
+      // the max output tokens is *included* in the context window limit, see:
+      // https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#max-tokens-and-context-window-size-with-extended-thinking
+      maxOutputTokens: 16_000,
+      contextWindow: 200_000,
+      temperature: 0,
+      dollarSigns: 4,
+    },
+    {
+      name: "claude-3-5-sonnet-20241022",
+      displayName: "Claude 3.5 Sonnet",
+      description: "Good coder, excellent at following instructions",
+      maxOutputTokens: 8_000,
+      contextWindow: 200_000,
+      temperature: 0,
+      dollarSigns: 4,
+    },
+    {
+      name: "claude-3-5-haiku-20241022",
+      displayName: "Claude 3.5 Haiku",
+      description: "Lightweight coder",
+      maxOutputTokens: 8_000,
+      contextWindow: 200_000,
+      temperature: 0,
+      dollarSigns: 2,
+    },
+  ],
+  google: [
+    // https://ai.google.dev/gemini-api/docs/models#gemini-2.5-pro-preview-03-25
+    {
+      name: "gemini-2.5-pro",
+      displayName: "Gemini 2.5 Pro",
+      description: "Google's Gemini 2.5 Pro model",
+      // See Flash 2.5 comment below (go 1 below just to be safe, even though it seems OK now).
+      maxOutputTokens: 65_536 - 1,
+      // Gemini context window = input token + output token
+      contextWindow: 1_048_576,
+      temperature: 0,
+      dollarSigns: 3,
+    },
+    // https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-preview
+    {
+      name: "gemini-2.5-flash",
+      displayName: "Gemini 2.5 Flash",
+      description: "Google's Gemini 2.5 Flash model (free tier available)",
+      // Weirdly for Vertex AI, the output token limit is *exclusive* of the stated limit.
+      maxOutputTokens: 65_536 - 1,
+      // Gemini context window = input token + output token
+      contextWindow: 1_048_576,
+      temperature: 0,
+      dollarSigns: 2,
+    },
+  ],
+  vertex: [
+    // Vertex Gemini 2.5 Pro
+    {
+      name: "gemini-2.5-pro",
+      displayName: "Gemini 2.5 Pro",
+      description: "Vertex Gemini 2.5 Pro",
+      maxOutputTokens: 65_536 - 1,
+      contextWindow: 1_048_576,
+      temperature: 0,
+    },
+    // Vertex Gemini 2.5 Flash
+    {
+      name: "gemini-2.5-flash",
+      displayName: "Gemini 2.5 Flash",
+      description: "Vertex Gemini 2.5 Flash",
+      maxOutputTokens: 65_536 - 1,
+      contextWindow: 1_048_576,
+      temperature: 0,
+    },
+  ],
+  openrouter: [
+    {
+      name: "qwen/qwen3-coder:free",
+      displayName: "Qwen3 Coder (free)",
+      description: "Use for free (data may be used for training)",
+      maxOutputTokens: 32_000,
+      contextWindow: 262_000,
+      temperature: 0,
+      dollarSigns: 0,
+    },
+    // https://openrouter.ai/deepseek/deepseek-chat-v3-0324:free
+    {
+      name: "deepseek/deepseek-chat-v3.1:free",
+      displayName: "DeepSeek v3.1 (free)",
+      description: "Use for free (data may be used for training)",
+      maxOutputTokens: 32_000,
+      contextWindow: 128_000,
+      temperature: 0,
+      dollarSigns: 0,
+    },
+    {
+      name: "deepseek/deepseek-chat-v3-0324:free",
+      displayName: "DeepSeek v3 (free)",
+      description: "Use for free (data may be used for training)",
+      maxOutputTokens: 32_000,
+      contextWindow: 128_000,
+      temperature: 0,
+      dollarSigns: 0,
+    },
+    {
+      name: "qwen/qwen3-coder",
+      displayName: "Qwen3 Coder",
+      description: "Qwen's best coding model",
+      maxOutputTokens: 32_000,
+      contextWindow: 262_000,
+      temperature: 0,
+      dollarSigns: 2,
+    },
+    {
+      name: "deepseek/deepseek-chat-v3.1",
+      displayName: "DeepSeek v3.1",
+      description: "Strong cost-effective model with optional thinking",
+      maxOutputTokens: 32_000,
+      contextWindow: 128_000,
+      temperature: 0,
+      dollarSigns: 2,
+    },
+    // https://openrouter.ai/moonshotai/kimi-k2
+    {
+      name: "moonshotai/kimi-k2-0905",
+      displayName: "Kimi K2",
+      description: "Powerful cost-effective model (updated to 0905)",
+      maxOutputTokens: 32_000,
+      contextWindow: 256_000,
+      temperature: 0,
+      dollarSigns: 2,
+    },
+  ],
+  auto: [
+    {
+      name: "auto",
+      displayName: "Auto",
+      description: "Automatically selects the best model",
+      tag: "Default",
+      // These are below Gemini 2.5 Pro & Flash limits
+      // which are the ones defaulted to for both regular auto
+      // and smart auto.
+      maxOutputTokens: 32_000,
+      contextWindow: 1_000_000,
+      temperature: 0,
+    },
+    {
+      name: "free",
+      displayName: "Free (OpenRouter)",
+      description: "Selects from one of the free OpenRouter models",
+      tag: "Free",
+      // These are below Gemini 2.5 Pro & Flash limits
+      // which are the ones defaulted to for both regular auto
+      // and smart auto.
+      maxOutputTokens: 32_000,
+      contextWindow: 128_000,
+      temperature: 0,
+    },
+    {
+      name: "turbo",
+      displayName: "Turbo (Pro)",
+      description: "Use very fast open-source frontier models",
+      maxOutputTokens: 32_000,
+      contextWindow: 256_000,
+      temperature: 0,
+    },
+  ],
+  azure: [
+    {
+      name: "gpt-5",
+      displayName: "GPT-5",
+      description: "Azure OpenAI GPT-5 model with reasoning capabilities",
+      maxOutputTokens: 128_000,
+      contextWindow: 400_000,
+      temperature: 0,
+    },
+    {
+      name: "gpt-5-mini",
+      displayName: "GPT-5 Mini",
+      description: "Azure OpenAI GPT-5 Mini model",
+      maxOutputTokens: 128_000,
+      contextWindow: 400_000,
+      temperature: 0,
+    },
+    {
+      name: "gpt-5-nano",
+      displayName: "GPT-5 Nano",
+      description: "Azure OpenAI GPT-5 Nano model",
+      maxOutputTokens: 128_000,
+      contextWindow: 400_000,
+      temperature: 0,
+    },
+    {
+      name: "gpt-5-chat",
+      displayName: "GPT-5 Chat",
+      description: "Azure OpenAI GPT-5 Chat model",
+      maxOutputTokens: 16_384,
+      contextWindow: 128_000,
+      temperature: 0,
+    },
+  ],
+  xai: [
+    // https://docs.x.ai/docs/models
+    {
+      name: "grok-code-fast-1",
+      displayName: "Grok Code Fast",
+      description: "Fast coding model",
+      maxOutputTokens: 32_000,
+      contextWindow: 256_000,
+      temperature: 0,
+      dollarSigns: 1,
+    },
+    {
+      name: "grok-4",
+      displayName: "Grok 4",
+      description: "Most capable coding model",
+      maxOutputTokens: 32_000,
+      contextWindow: 256_000,
+      temperature: 0,
+      dollarSigns: 4,
+    },
+    {
+      name: "grok-3",
+      displayName: "Grok 3",
+      description: "Powerful coding model",
+      maxOutputTokens: 32_000,
+      contextWindow: 131_072,
+      temperature: 0,
+      dollarSigns: 4,
+    },
+  ],
+  bedrock: [
+    {
+      name: "us.anthropic.claude-sonnet-4-20250514-v1:0",
+      displayName: "Claude 4 Sonnet",
+      description: "Excellent coder (note: >200k tokens is very expensive!)",
+      maxOutputTokens: 16_000,
+      contextWindow: 1_000_000,
+      temperature: 0,
+    },
+    {
+      name: "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+      displayName: "Claude 3.7 Sonnet",
+      description: "Excellent coder",
+      maxOutputTokens: 16_000,
+      contextWindow: 200_000,
+      temperature: 0,
+    },
+    {
+      name: "us.anthropic.claude-3-5-sonnet-20241022-v2:0",
+      displayName: "Claude 3.5 Sonnet",
+      description: "Good coder, excellent at following instructions",
+      maxOutputTokens: 8_000,
+      contextWindow: 200_000,
+      temperature: 0,
+    },
+  ],
+};
+
+export const TURBO_MODELS: LanguageModel[] = [
+  {
+    apiName: "qwen3-coder:turbo",
+    displayName: "Qwen3 Coder",
+    description: "Qwen's best coding model (very fast)",
+    maxOutputTokens: 32_000,
+    contextWindow: 131_000,
+    temperature: 0,
+    dollarSigns: 2,
+    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,
+  },
+};

src/ipc/shared/language_model_helpers.ts

@@ -5,443 +5,12 @@ import {
 } from "@/db/schema";
 import type { LanguageModelProvider, LanguageModel } from "@/ipc/ipc_types";
 import { eq } from "drizzle-orm";
-
+import {
-export const PROVIDERS_THAT_SUPPORT_THINKING: (keyof typeof MODEL_OPTIONS)[] = [
+  LOCAL_PROVIDERS,
-  "google",
+  CLOUD_PROVIDERS,
-  "vertex",
+  MODEL_OPTIONS,
-  "auto",
+  PROVIDER_TO_ENV_VAR,
-];
+} from "./language_model_constants";
-
-export interface ModelOption {
-  name: string;
-  displayName: string;
-  description: string;
-  dollarSigns?: number;
-  temperature?: number;
-  tag?: string;
-  maxOutputTokens?: number;
-  contextWindow?: number;
-}
-
-export const MODEL_OPTIONS: Record<string, ModelOption[]> = {
-  openai: [
-    // https://platform.openai.com/docs/models/gpt-5
-    {
-      name: "gpt-5",
-      displayName: "GPT 5",
-      description: "OpenAI's flagship model",
-      // Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
-      maxOutputTokens: undefined,
-      contextWindow: 400_000,
-      // Requires temperature to be default value (1)
-      temperature: 1,
-      dollarSigns: 3,
-    },
-    // https://platform.openai.com/docs/models/gpt-5-mini
-    {
-      name: "gpt-5-mini",
-      displayName: "GPT 5 Mini",
-      description: "OpenAI's lightweight, but intelligent model",
-      // Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
-      maxOutputTokens: undefined,
-      contextWindow: 400_000,
-      // Requires temperature to be default value (1)
-      temperature: 1,
-      dollarSigns: 2,
-    },
-    // https://platform.openai.com/docs/models/gpt-5-nano
-    {
-      name: "gpt-5-nano",
-      displayName: "GPT 5 Nano",
-      description: "Fastest, most cost-efficient version of GPT-5",
-      // Technically it's 128k but OpenAI errors if you set max_tokens instead of max_completion_tokens
-      maxOutputTokens: undefined,
-      contextWindow: 400_000,
-      // Requires temperature to be default value (1)
-      temperature: 1,
-      dollarSigns: 1,
-    },
-    // https://platform.openai.com/docs/models/o4-mini
-    {
-      name: "o4-mini",
-      displayName: "o4 mini",
-      description: "Reasoning model",
-      // Technically the max output tokens is 100k, *however* if the user has a lot of input tokens,
-      // then setting a high max output token will cause the request to fail because
-      // the max output tokens is *included* in the context window limit.
-      maxOutputTokens: 32_000,
-      contextWindow: 200_000,
-      temperature: 0,
-      dollarSigns: 2,
-    },
-  ],
-  // https://docs.anthropic.com/en/docs/about-claude/models/all-models#model-comparison-table
-  anthropic: [
-    {
-      name: "claude-sonnet-4-20250514",
-      displayName: "Claude 4 Sonnet",
-      description: "Excellent coder (note: >200k tokens is very expensive!)",
-      // See comment below for Claude 3.7 Sonnet for why we set this to 16k
-      maxOutputTokens: 16_000,
-      contextWindow: 1_000_000,
-      temperature: 0,
-      dollarSigns: 5,
-    },
-    {
-      name: "claude-3-7-sonnet-latest",
-      displayName: "Claude 3.7 Sonnet",
-      description: "Excellent coder",
-      // Technically the max output tokens is 64k, *however* if the user has a lot of input tokens,
-      // then setting a high max output token will cause the request to fail because
-      // the max output tokens is *included* in the context window limit, see:
-      // https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#max-tokens-and-context-window-size-with-extended-thinking
-      maxOutputTokens: 16_000,
-      contextWindow: 200_000,
-      temperature: 0,
-      dollarSigns: 4,
-    },
-    {
-      name: "claude-3-5-sonnet-20241022",
-      displayName: "Claude 3.5 Sonnet",
-      description: "Good coder, excellent at following instructions",
-      maxOutputTokens: 8_000,
-      contextWindow: 200_000,
-      temperature: 0,
-      dollarSigns: 4,
-    },
-    {
-      name: "claude-3-5-haiku-20241022",
-      displayName: "Claude 3.5 Haiku",
-      description: "Lightweight coder",
-      maxOutputTokens: 8_000,
-      contextWindow: 200_000,
-      temperature: 0,
-      dollarSigns: 2,
-    },
-  ],
-  google: [
-    // https://ai.google.dev/gemini-api/docs/models#gemini-2.5-pro-preview-03-25
-    {
-      name: "gemini-2.5-pro",
-      displayName: "Gemini 2.5 Pro",
-      description: "Google's Gemini 2.5 Pro model",
-      // See Flash 2.5 comment below (go 1 below just to be safe, even though it seems OK now).
-      maxOutputTokens: 65_536 - 1,
-      // Gemini context window = input token + output token
-      contextWindow: 1_048_576,
-      temperature: 0,
-      dollarSigns: 3,
-    },
-    // https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-preview
-    {
-      name: "gemini-2.5-flash",
-      displayName: "Gemini 2.5 Flash",
-      description: "Google's Gemini 2.5 Flash model (free tier available)",
-      // Weirdly for Vertex AI, the output token limit is *exclusive* of the stated limit.
-      maxOutputTokens: 65_536 - 1,
-      // Gemini context window = input token + output token
-      contextWindow: 1_048_576,
-      temperature: 0,
-      dollarSigns: 2,
-    },
-  ],
-  vertex: [
-    // Vertex Gemini 2.5 Pro
-    {
-      name: "gemini-2.5-pro",
-      displayName: "Gemini 2.5 Pro",
-      description: "Vertex Gemini 2.5 Pro",
-      maxOutputTokens: 65_536 - 1,
-      contextWindow: 1_048_576,
-      temperature: 0,
-    },
-    // Vertex Gemini 2.5 Flash
-    {
-      name: "gemini-2.5-flash",
-      displayName: "Gemini 2.5 Flash",
-      description: "Vertex Gemini 2.5 Flash",
-      maxOutputTokens: 65_536 - 1,
-      contextWindow: 1_048_576,
-      temperature: 0,
-    },
-  ],
-  openrouter: [
-    {
-      name: "qwen/qwen3-coder:free",
-      displayName: "Qwen3 Coder (free)",
-      description: "Use for free (data may be used for training)",
-      maxOutputTokens: 32_000,
-      contextWindow: 262_000,
-      temperature: 0,
-      dollarSigns: 0,
-    },
-    // https://openrouter.ai/deepseek/deepseek-chat-v3-0324:free
-    {
-      name: "deepseek/deepseek-chat-v3.1:free",
-      displayName: "DeepSeek v3.1 (free)",
-      description: "Use for free (data may be used for training)",
-      maxOutputTokens: 32_000,
-      contextWindow: 128_000,
-      temperature: 0,
-      dollarSigns: 0,
-    },
-    {
-      name: "deepseek/deepseek-chat-v3-0324:free",
-      displayName: "DeepSeek v3 (free)",
-      description: "Use for free (data may be used for training)",
-      maxOutputTokens: 32_000,
-      contextWindow: 128_000,
-      temperature: 0,
-      dollarSigns: 0,
-    },
-    {
-      name: "qwen/qwen3-coder",
-      displayName: "Qwen3 Coder",
-      description: "Qwen's best coding model",
-      maxOutputTokens: 32_000,
-      contextWindow: 262_000,
-      temperature: 0,
-      dollarSigns: 2,
-    },
-    {
-      name: "deepseek/deepseek-chat-v3.1",
-      displayName: "DeepSeek v3.1",
-      description: "Strong cost-effective model with optional thinking",
-      maxOutputTokens: 32_000,
-      contextWindow: 128_000,
-      temperature: 0,
-      dollarSigns: 2,
-    },
-    // https://openrouter.ai/moonshotai/kimi-k2
-    {
-      name: "moonshotai/kimi-k2-0905",
-      displayName: "Kimi K2",
-      description: "Powerful cost-effective model (updated to 0905)",
-      maxOutputTokens: 32_000,
-      contextWindow: 256_000,
-      temperature: 0,
-      dollarSigns: 2,
-    },
-  ],
-  auto: [
-    {
-      name: "auto",
-      displayName: "Auto",
-      description: "Automatically selects the best model",
-      tag: "Default",
-      // These are below Gemini 2.5 Pro & Flash limits
-      // which are the ones defaulted to for both regular auto
-      // and smart auto.
-      maxOutputTokens: 32_000,
-      contextWindow: 1_000_000,
-      temperature: 0,
-    },
-    {
-      name: "free",
-      displayName: "Free (OpenRouter)",
-      description: "Selects from one of the free OpenRouter models",
-      tag: "Free",
-      // These are below Gemini 2.5 Pro & Flash limits
-      // which are the ones defaulted to for both regular auto
-      // and smart auto.
-      maxOutputTokens: 32_000,
-      contextWindow: 128_000,
-      temperature: 0,
-    },
-  ],
-  azure: [
-    {
-      name: "gpt-5",
-      displayName: "GPT-5",
-      description: "Azure OpenAI GPT-5 model with reasoning capabilities",
-      maxOutputTokens: 128_000,
-      contextWindow: 400_000,
-      temperature: 0,
-    },
-    {
-      name: "gpt-5-mini",
-      displayName: "GPT-5 Mini",
-      description: "Azure OpenAI GPT-5 Mini model",
-      maxOutputTokens: 128_000,
-      contextWindow: 400_000,
-      temperature: 0,
-    },
-    {
-      name: "gpt-5-nano",
-      displayName: "GPT-5 Nano",
-      description: "Azure OpenAI GPT-5 Nano model",
-      maxOutputTokens: 128_000,
-      contextWindow: 400_000,
-      temperature: 0,
-    },
-    {
-      name: "gpt-5-chat",
-      displayName: "GPT-5 Chat",
-      description: "Azure OpenAI GPT-5 Chat model",
-      maxOutputTokens: 16_384,
-      contextWindow: 128_000,
-      temperature: 0,
-    },
-  ],
-  xai: [
-    // https://docs.x.ai/docs/models
-    {
-      name: "grok-code-fast-1",
-      displayName: "Grok Code Fast",
-      description: "Fast coding model",
-      maxOutputTokens: 32_000,
-      contextWindow: 256_000,
-      temperature: 0,
-      dollarSigns: 1,
-    },
-    {
-      name: "grok-4",
-      displayName: "Grok 4",
-      description: "Most capable coding model",
-      maxOutputTokens: 32_000,
-      contextWindow: 256_000,
-      temperature: 0,
-      dollarSigns: 4,
-    },
-    {
-      name: "grok-3",
-      displayName: "Grok 3",
-      description: "Powerful coding model",
-      maxOutputTokens: 32_000,
-      contextWindow: 131_072,
-      temperature: 0,
-      dollarSigns: 4,
-    },
-  ],
-  bedrock: [
-    {
-      name: "us.anthropic.claude-sonnet-4-20250514-v1:0",
-      displayName: "Claude 4 Sonnet",
-      description: "Excellent coder (note: >200k tokens is very expensive!)",
-      maxOutputTokens: 16_000,
-      contextWindow: 1_000_000,
-      temperature: 0,
-    },
-    {
-      name: "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
-      displayName: "Claude 3.7 Sonnet",
-      description: "Excellent coder",
-      maxOutputTokens: 16_000,
-      contextWindow: 200_000,
-      temperature: 0,
-    },
-    {
-      name: "us.anthropic.claude-3-5-sonnet-20241022-v2:0",
-      displayName: "Claude 3.5 Sonnet",
-      description: "Good coder, excellent at following instructions",
-      maxOutputTokens: 8_000,
-      contextWindow: 200_000,
-      temperature: 0,
-    },
-  ],
-};
-
-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,
-  },
-};
-
-const LOCAL_PROVIDERS: Record<
-  string,
-  {
-    displayName: string;
-    hasFreeTier: boolean;
-  }
-> = {
-  ollama: {
-    displayName: "Ollama",
-    hasFreeTier: true,
-  },
-  lmstudio: {
-    displayName: "LM Studio",
-    hasFreeTier: true,
-  },
-};
-
 /**
  * Fetches language model providers from both the database (custom) and hardcoded constants (cloud),
  * merging them with custom providers taking precedence.

src/ipc/utils/get_model_client.ts

@@ -15,10 +15,8 @@ import type {
 } from "../../lib/schemas";
 import { getEnvVar } from "./read_env";
 import log from "electron-log";
-import {
+import { FREE_OPENROUTER_MODEL_NAMES } from "../shared/language_model_constants";
-  FREE_OPENROUTER_MODEL_NAMES,
+import { getLanguageModelProviders } from "../shared/language_model_helpers";
-  getLanguageModelProviders,
-} from "../shared/language_model_helpers";
 import { LanguageModelProvider } from "../ipc_types";
 import { createDyadEngine } from "./llm_engine_provider";
 

src/ipc/utils/thinking_utils.ts

@@ -1,4 +1,4 @@
-import { PROVIDERS_THAT_SUPPORT_THINKING } from "../shared/language_model_helpers";
+import { PROVIDERS_THAT_SUPPORT_THINKING } from "../shared/language_model_constants";
 import type { UserSettings } from "../../lib/schemas";
 
 function getThinkingBudgetTokens(