fix(coding-agent): bundle OAuth flows in Bun binaries
This commit is contained in:
@@ -34,6 +34,10 @@
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"./bedrock-provider": {
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"types": "./dist/bedrock-provider.d.ts",
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"import": "./dist/bedrock-provider.js"
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},
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"./bun-oauth": {
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"types": "./dist/bun-oauth.d.ts",
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"import": "./dist/bun-oauth.js"
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}
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},
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"bin": {
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@@ -11,21 +11,46 @@ const importOAuthModule = (specifier: string): Promise<unknown> => {
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return import(runtimeSpecifier);
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};
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export const loadAnthropicOAuth = async (): Promise<OAuthAuth> =>
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((await importOAuthModule("./anthropic.ts")) as { anthropicOAuth: OAuthAuth }).anthropicOAuth;
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type OAuthFlowLoaders = {
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anthropic: () => OAuthAuth | Promise<OAuthAuth>;
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openaiCodex: () => OAuthAuth | Promise<OAuthAuth>;
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githubCopilot: () => OAuthAuth | Promise<OAuthAuth>;
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xai: () => OAuthAuth | Promise<OAuthAuth>;
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radius: (options: { name: string; gateway: string }) => OAuthAuth | Promise<OAuthAuth>;
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};
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export const loadOpenAICodexOAuth = async (): Promise<OAuthAuth> =>
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((await importOAuthModule("./openai-codex.ts")) as { openaiCodexOAuth: OAuthAuth }).openaiCodexOAuth;
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let bundledLoaders: OAuthFlowLoaders | undefined;
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export const loadGitHubCopilotOAuth = async (): Promise<OAuthAuth> =>
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((await importOAuthModule("./github-copilot.ts")) as { githubCopilotOAuth: OAuthAuth }).githubCopilotOAuth;
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/** Registers statically bundled OAuth flows for standalone Bun binaries. */
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export function registerBundledOAuthFlowLoaders(loaders: OAuthFlowLoaders): void {
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bundledLoaders = loaders;
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}
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export const loadXaiOAuth = async (): Promise<OAuthAuth> =>
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((await importOAuthModule("./xai.ts")) as { xaiOAuth: OAuthAuth }).xaiOAuth;
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export const loadAnthropicOAuth = async (): Promise<OAuthAuth> => {
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if (bundledLoaders) return bundledLoaders.anthropic();
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return ((await importOAuthModule("./anthropic.ts")) as { anthropicOAuth: OAuthAuth }).anthropicOAuth;
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};
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export const loadRadiusOAuth = async (options: { name: string; gateway: string }): Promise<OAuthAuth> =>
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(
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export const loadOpenAICodexOAuth = async (): Promise<OAuthAuth> => {
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if (bundledLoaders) return bundledLoaders.openaiCodex();
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return ((await importOAuthModule("./openai-codex.ts")) as { openaiCodexOAuth: OAuthAuth }).openaiCodexOAuth;
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};
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export const loadGitHubCopilotOAuth = async (): Promise<OAuthAuth> => {
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if (bundledLoaders) return bundledLoaders.githubCopilot();
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return ((await importOAuthModule("./github-copilot.ts")) as { githubCopilotOAuth: OAuthAuth }).githubCopilotOAuth;
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};
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export const loadXaiOAuth = async (): Promise<OAuthAuth> => {
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if (bundledLoaders) return bundledLoaders.xai();
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return ((await importOAuthModule("./xai.ts")) as { xaiOAuth: OAuthAuth }).xaiOAuth;
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};
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export const loadRadiusOAuth = async (options: { name: string; gateway: string }): Promise<OAuthAuth> => {
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if (bundledLoaders) return bundledLoaders.radius(options);
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return (
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(await importOAuthModule("./radius.ts")) as {
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createRadiusOAuth: (input: { name: string; gateway: string }) => OAuthAuth;
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}
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).createRadiusOAuth(options);
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};
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@@ -0,0 +1,17 @@
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import { anthropicOAuth } from "./auth/oauth/anthropic.ts";
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import { githubCopilotOAuth } from "./auth/oauth/github-copilot.ts";
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import { registerBundledOAuthFlowLoaders } from "./auth/oauth/load.ts";
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import { openaiCodexOAuth } from "./auth/oauth/openai-codex.ts";
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import { createRadiusOAuth } from "./auth/oauth/radius.ts";
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import { xaiOAuth } from "./auth/oauth/xai.ts";
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/** Register OAuth flows statically embedded in the standalone Bun binary. */
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export function registerBunOAuthFlows(): void {
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registerBundledOAuthFlowLoaders({
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anthropic: () => anthropicOAuth,
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openaiCodex: () => openaiCodexOAuth,
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githubCopilot: () => githubCopilotOAuth,
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xai: () => xaiOAuth,
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radius: createRadiusOAuth,
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});
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}
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@@ -40,6 +40,24 @@ export const KIMI_CODING_MODELS = {
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contextWindow: 262144,
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maxTokens: 32768,
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} satisfies Model<"anthropic-messages">,
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"kimi-for-coding-highspeed": {
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id: "kimi-for-coding-highspeed",
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name: "Kimi For Coding HighSpeed",
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api: "anthropic-messages",
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provider: "kimi-coding",
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baseUrl: "https://api.kimi.com/coding",
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headers: {"User-Agent":"KimiCLI/1.5"},
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reasoning: true,
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input: ["text", "image"],
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cost: {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 262144,
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maxTokens: 32768,
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} satisfies Model<"anthropic-messages">,
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"kimi-k2-thinking": {
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id: "kimi-k2-thinking",
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name: "Kimi K2 Thinking",
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@@ -385,7 +385,7 @@ export const OPENROUTER_MODELS = {
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cacheRead: 0.3,
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cacheWrite: 3.75,
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},
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contextWindow: 1000000,
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contextWindow: 200000,
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maxTokens: 64000,
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} satisfies Model<"openai-completions">,
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"anthropic/claude-sonnet-4.5": {
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@@ -652,13 +652,13 @@ export const OPENROUTER_MODELS = {
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.24,
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output: 0.9,
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input: 0.27,
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output: 1.12,
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cacheRead: 0.135,
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cacheWrite: 0,
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},
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contextWindow: 163840,
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maxTokens: 16384,
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maxTokens: 65536,
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} satisfies Model<"openai-completions">,
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"deepseek/deepseek-chat-v3.1": {
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id: "deepseek/deepseek-chat-v3.1",
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@@ -725,11 +725,11 @@ export const OPENROUTER_MODELS = {
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input: ["text"],
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cost: {
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input: 0.27,
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output: 0.95,
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cacheRead: 0.13,
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output: 1,
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cacheRead: 0.135,
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cacheWrite: 0,
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},
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contextWindow: 163840,
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contextWindow: 131072,
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maxTokens: 32768,
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} satisfies Model<"openai-completions">,
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"deepseek/deepseek-v3.2": {
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@@ -742,13 +742,13 @@ export const OPENROUTER_MODELS = {
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reasoning: true,
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input: ["text"],
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cost: {
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input: 0.2145,
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output: 0.32175,
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cacheRead: 0.02145,
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input: 0.269,
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output: 0.4,
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cacheRead: 0.1345,
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cacheWrite: 0,
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},
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contextWindow: 128000,
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maxTokens: 64000,
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contextWindow: 163840,
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maxTokens: 65536,
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} satisfies Model<"openai-completions">,
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"deepseek/deepseek-v3.2-exp": {
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id: "deepseek/deepseek-v3.2-exp",
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@@ -779,13 +779,13 @@ export const OPENROUTER_MODELS = {
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thinkingLevelMap: {"minimal":null,"low":null,"medium":null,"high":"high","max":null,"xhigh":"xhigh"},
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input: ["text"],
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cost: {
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input: 0.09,
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output: 0.18,
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cacheRead: 0.018,
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input: 0.098,
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output: 0.196,
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cacheRead: 0.02,
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cacheWrite: 0,
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},
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contextWindow: 1048576,
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maxTokens: 65536,
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contextWindow: 1048575,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"deepseek/deepseek-v4-pro": {
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id: "deepseek/deepseek-v4-pro",
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@@ -1051,12 +1051,12 @@ export const OPENROUTER_MODELS = {
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input: ["text", "image"],
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cost: {
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input: 0.08,
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output: 0.16,
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cacheRead: 0,
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output: 0.45,
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cacheRead: 0.04,
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cacheWrite: 0,
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},
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contextWindow: 131072,
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maxTokens: 16384,
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maxTokens: 131072,
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} satisfies Model<"openai-completions">,
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"google/gemma-4-26b-a4b-it": {
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id: "google/gemma-4-26b-a4b-it",
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@@ -1068,13 +1068,13 @@ export const OPENROUTER_MODELS = {
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reasoning: true,
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input: ["text", "image"],
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cost: {
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input: 0.06,
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output: 0.33,
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input: 0.1,
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output: 0.3,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 262144,
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maxTokens: 4096,
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contextWindow: 256000,
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maxTokens: 256000,
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} satisfies Model<"openai-completions">,
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"google/gemma-4-26b-a4b-it:free": {
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id: "google/gemma-4-26b-a4b-it:free",
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@@ -1104,13 +1104,13 @@ export const OPENROUTER_MODELS = {
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reasoning: true,
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input: ["text", "image"],
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cost: {
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input: 0.06,
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output: 0.35,
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cacheRead: 0,
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input: 0.22,
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output: 0.55,
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cacheRead: 0.12,
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cacheWrite: 0,
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},
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contextWindow: 262144,
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maxTokens: 8192,
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maxTokens: 262144,
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} satisfies Model<"openai-completions">,
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"google/gemma-4-31b-it:free": {
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id: "google/gemma-4-31b-it:free",
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@@ -1303,13 +1303,13 @@ export const OPENROUTER_MODELS = {
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.02,
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output: 0.03,
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cacheRead: 0,
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input: 0.05,
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output: 0.08,
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cacheRead: 0.025,
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cacheWrite: 0,
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},
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contextWindow: 131072,
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maxTokens: 16384,
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maxTokens: 131072,
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} satisfies Model<"openai-completions">,
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"meta-llama/llama-3.3-70b-instruct": {
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id: "meta-llama/llama-3.3-70b-instruct",
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@@ -1321,13 +1321,13 @@ export const OPENROUTER_MODELS = {
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.1,
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output: 0.32,
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input: 0.13,
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output: 0.4,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 131072,
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maxTokens: 16384,
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maxTokens: 128000,
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} satisfies Model<"openai-completions">,
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"meta-llama/llama-3.3-70b-instruct:free": {
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id: "meta-llama/llama-3.3-70b-instruct:free",
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@@ -1393,7 +1393,7 @@ export const OPENROUTER_MODELS = {
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reasoning: true,
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input: ["text"],
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cost: {
|
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input: 0.4,
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input: 0.55,
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output: 2.2,
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cacheRead: 0,
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cacheWrite: 0,
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@@ -1465,13 +1465,13 @@ export const OPENROUTER_MODELS = {
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reasoning: true,
|
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input: ["text"],
|
||||
cost: {
|
||||
input: 0.24,
|
||||
output: 0.96,
|
||||
cacheRead: 0,
|
||||
input: 0.3,
|
||||
output: 1.2,
|
||||
cacheRead: 0.06,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 196608,
|
||||
maxTokens: 196608,
|
||||
contextWindow: 204800,
|
||||
maxTokens: 131072,
|
||||
} satisfies Model<"openai-completions">,
|
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"minimax/minimax-m3": {
|
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id: "minimax/minimax-m3",
|
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@@ -1488,8 +1488,8 @@ export const OPENROUTER_MODELS = {
|
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cacheRead: 0.06,
|
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cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 1000000,
|
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maxTokens: 131072,
|
||||
contextWindow: 524288,
|
||||
maxTokens: 512000,
|
||||
} satisfies Model<"openai-completions">,
|
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"mistralai/codestral-2508": {
|
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id: "mistralai/codestral-2508",
|
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@@ -1700,12 +1700,12 @@ export const OPENROUTER_MODELS = {
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.02,
|
||||
output: 0.03,
|
||||
output: 0.04,
|
||||
cacheRead: 0,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 131072,
|
||||
maxTokens: 4096,
|
||||
maxTokens: 16384,
|
||||
} satisfies Model<"openai-completions">,
|
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"mistralai/mistral-saba": {
|
||||
id: "mistralai/mistral-saba",
|
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@@ -1753,13 +1753,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: false,
|
||||
input: ["text", "image"],
|
||||
cost: {
|
||||
input: 0.075,
|
||||
output: 0.2,
|
||||
cacheRead: 0,
|
||||
input: 0.1,
|
||||
output: 0.3,
|
||||
cacheRead: 0.01,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 128000,
|
||||
maxTokens: 16384,
|
||||
contextWindow: 131072,
|
||||
maxTokens: 4096,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"mistralai/mixtral-8x22b-instruct": {
|
||||
id: "mistralai/mixtral-8x22b-instruct",
|
||||
@@ -1845,11 +1845,11 @@ export const OPENROUTER_MODELS = {
|
||||
cost: {
|
||||
input: 0.6,
|
||||
output: 2.5,
|
||||
cacheRead: 0.15,
|
||||
cacheRead: 0,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
maxTokens: 100352,
|
||||
maxTokens: 262144,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"moonshotai/kimi-k2.5": {
|
||||
id: "moonshotai/kimi-k2.5",
|
||||
@@ -1879,13 +1879,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text", "image"],
|
||||
cost: {
|
||||
input: 0.66,
|
||||
output: 3.41,
|
||||
cacheRead: 0.15,
|
||||
input: 0.95,
|
||||
output: 4,
|
||||
cacheRead: 0.16,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
maxTokens: 262144,
|
||||
maxTokens: 4096,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"moonshotai/kimi-k2.7-code": {
|
||||
id: "moonshotai/kimi-k2.7-code",
|
||||
@@ -2023,12 +2023,12 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.08,
|
||||
output: 0.45,
|
||||
cacheRead: 0,
|
||||
input: 0.21,
|
||||
output: 0.455,
|
||||
cacheRead: 0.06,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
contextWindow: 1000000,
|
||||
maxTokens: 4096,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"nvidia/nemotron-3-super-120b-a12b:free": {
|
||||
@@ -2059,13 +2059,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.5,
|
||||
output: 2.2,
|
||||
cacheRead: 0.1,
|
||||
input: 0.6,
|
||||
output: 3.6,
|
||||
cacheRead: 0.2,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
maxTokens: 16384,
|
||||
contextWindow: 512288,
|
||||
maxTokens: 4096,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"nvidia/nemotron-3-ultra-550b-a55b:free": {
|
||||
id: "nvidia/nemotron-3-ultra-550b-a55b:free",
|
||||
@@ -2245,7 +2245,7 @@ export const OPENROUTER_MODELS = {
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 1047576,
|
||||
maxTokens: 4096,
|
||||
maxTokens: 32768,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"openai/gpt-4.1-mini": {
|
||||
id: "openai/gpt-4.1-mini",
|
||||
@@ -2295,7 +2295,7 @@ export const OPENROUTER_MODELS = {
|
||||
cost: {
|
||||
input: 2.5,
|
||||
output: 10,
|
||||
cacheRead: 0,
|
||||
cacheRead: 1.25,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 128000,
|
||||
@@ -2511,11 +2511,11 @@ export const OPENROUTER_MODELS = {
|
||||
cost: {
|
||||
input: 1.25,
|
||||
output: 10,
|
||||
cacheRead: 0.13,
|
||||
cacheRead: 0.125,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 128000,
|
||||
maxTokens: 32000,
|
||||
maxTokens: 16384,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"openai/gpt-5.1-codex": {
|
||||
id: "openai/gpt-5.1-codex",
|
||||
@@ -2529,7 +2529,7 @@ export const OPENROUTER_MODELS = {
|
||||
cost: {
|
||||
input: 1.25,
|
||||
output: 10,
|
||||
cacheRead: 0.13,
|
||||
cacheRead: 0.125,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 400000,
|
||||
@@ -2977,8 +2977,8 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.03,
|
||||
output: 0.15,
|
||||
input: 0.037,
|
||||
output: 0.17,
|
||||
cacheRead: 0,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
@@ -2995,13 +2995,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.029,
|
||||
output: 0.14,
|
||||
cacheRead: 0,
|
||||
input: 0.03,
|
||||
output: 0.13,
|
||||
cacheRead: 0.03,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 131072,
|
||||
maxTokens: 4096,
|
||||
maxTokens: 131072,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"openai/gpt-oss-20b:free": {
|
||||
id: "openai/gpt-oss-20b:free",
|
||||
@@ -3517,13 +3517,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: false,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.04815,
|
||||
output: 0.19305,
|
||||
input: 0.1,
|
||||
output: 0.3,
|
||||
cacheRead: 0,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 128000,
|
||||
maxTokens: 32000,
|
||||
contextWindow: 262144,
|
||||
maxTokens: 4096,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"qwen/qwen3-30b-a3b-thinking-2507": {
|
||||
id: "qwen/qwen3-30b-a3b-thinking-2507",
|
||||
@@ -3589,9 +3589,9 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: false,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.22,
|
||||
output: 1.8,
|
||||
cacheRead: 0,
|
||||
input: 0.3,
|
||||
output: 1,
|
||||
cacheRead: 0.1,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
@@ -3733,13 +3733,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: false,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.09,
|
||||
input: 0.1,
|
||||
output: 1.1,
|
||||
cacheRead: 0,
|
||||
cacheRead: 0.07,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
maxTokens: 16384,
|
||||
maxTokens: 262144,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"qwen/qwen3-next-80b-a3b-instruct:free": {
|
||||
id: "qwen/qwen3-next-80b-a3b-instruct:free",
|
||||
@@ -3787,13 +3787,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: false,
|
||||
input: ["text", "image"],
|
||||
cost: {
|
||||
input: 0.2,
|
||||
output: 0.88,
|
||||
cacheRead: 0.11,
|
||||
input: 0.21,
|
||||
output: 1.9,
|
||||
cacheRead: 0.1,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
maxTokens: 16384,
|
||||
contextWindow: 131072,
|
||||
maxTokens: 32768,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"qwen/qwen3-vl-235b-a22b-thinking": {
|
||||
id: "qwen/qwen3-vl-235b-a22b-thinking",
|
||||
@@ -3919,7 +3919,7 @@ export const OPENROUTER_MODELS = {
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
maxTokens: 262144,
|
||||
maxTokens: 65536,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"qwen/qwen3.5-27b": {
|
||||
id: "qwen/qwen3.5-27b",
|
||||
@@ -3951,11 +3951,11 @@ export const OPENROUTER_MODELS = {
|
||||
cost: {
|
||||
input: 0.14,
|
||||
output: 1,
|
||||
cacheRead: 0.05,
|
||||
cacheRead: 0,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
maxTokens: 81920,
|
||||
maxTokens: 262144,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"qwen/qwen3.5-397b-a17b": {
|
||||
id: "qwen/qwen3.5-397b-a17b",
|
||||
@@ -3967,13 +3967,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text", "image"],
|
||||
cost: {
|
||||
input: 0.385,
|
||||
output: 2.45,
|
||||
cacheRead: 0.111,
|
||||
input: 0.45,
|
||||
output: 3,
|
||||
cacheRead: 0.225,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 131072,
|
||||
maxTokens: 4096,
|
||||
contextWindow: 262144,
|
||||
maxTokens: 65536,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"qwen/qwen3.5-9b": {
|
||||
id: "qwen/qwen3.5-9b",
|
||||
@@ -4057,13 +4057,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text", "image"],
|
||||
cost: {
|
||||
input: 0.289,
|
||||
output: 2.4,
|
||||
input: 0.45,
|
||||
output: 2.7,
|
||||
cacheRead: 0,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 131072,
|
||||
maxTokens: 131072,
|
||||
contextWindow: 262144,
|
||||
maxTokens: 65536,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"qwen/qwen3.6-35b-a3b": {
|
||||
id: "qwen/qwen3.6-35b-a3b",
|
||||
@@ -4147,10 +4147,10 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 1.25,
|
||||
output: 3.75,
|
||||
cacheRead: 0.25,
|
||||
cacheWrite: 1.5625,
|
||||
input: 1.475,
|
||||
output: 4.425,
|
||||
cacheRead: 0.295,
|
||||
cacheWrite: 1.84375,
|
||||
},
|
||||
contextWindow: 1000000,
|
||||
maxTokens: 65536,
|
||||
@@ -4291,13 +4291,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.14,
|
||||
output: 0.58,
|
||||
cacheRead: 0.035,
|
||||
input: 0.2,
|
||||
output: 0.8,
|
||||
cacheRead: 0.05,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
maxTokens: 4096,
|
||||
maxTokens: 131072,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"tencent/hy3-preview": {
|
||||
id: "tencent/hy3-preview",
|
||||
@@ -4453,13 +4453,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text", "image"],
|
||||
cost: {
|
||||
input: 0.105,
|
||||
input: 0.14,
|
||||
output: 0.28,
|
||||
cacheRead: 0.028,
|
||||
cacheRead: 0.0028,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
maxTokens: 4096,
|
||||
contextWindow: 1048576,
|
||||
maxTokens: 131072,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"xiaomi/mimo-v2.5-pro": {
|
||||
id: "xiaomi/mimo-v2.5-pro",
|
||||
@@ -4543,13 +4543,13 @@ export const OPENROUTER_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.43,
|
||||
output: 1.75,
|
||||
cacheRead: 0.08,
|
||||
input: 0.5,
|
||||
output: 2,
|
||||
cacheRead: 0.1,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 198000,
|
||||
maxTokens: 16384,
|
||||
contextWindow: 202752,
|
||||
maxTokens: 131072,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"z-ai/glm-4.6v": {
|
||||
id: "z-ai/glm-4.6v",
|
||||
@@ -4620,8 +4620,8 @@ export const OPENROUTER_MODELS = {
|
||||
cacheRead: 0.119,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 198000,
|
||||
maxTokens: 128000,
|
||||
contextWindow: 202752,
|
||||
maxTokens: 202752,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"z-ai/glm-5-turbo": {
|
||||
id: "z-ai/glm-5-turbo",
|
||||
@@ -4638,7 +4638,7 @@ export const OPENROUTER_MODELS = {
|
||||
cacheRead: 0.24,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 262144,
|
||||
contextWindow: 202752,
|
||||
maxTokens: 131072,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"z-ai/glm-5.1": {
|
||||
@@ -4670,13 +4670,13 @@ export const OPENROUTER_MODELS = {
|
||||
thinkingLevelMap: {"xhigh":"xhigh"},
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.924,
|
||||
output: 2.904,
|
||||
cacheRead: 0.1716,
|
||||
input: 0.9464,
|
||||
output: 2.9744,
|
||||
cacheRead: 0.17576,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 1024000,
|
||||
maxTokens: 128000,
|
||||
contextWindow: 1048576,
|
||||
maxTokens: 131072,
|
||||
} satisfies Model<"openai-completions">,
|
||||
"z-ai/glm-5v-turbo": {
|
||||
id: "z-ai/glm-5v-turbo",
|
||||
|
||||
@@ -622,6 +622,25 @@ export const VERCEL_AI_GATEWAY_MODELS = {
|
||||
contextWindow: 1000000,
|
||||
maxTokens: 128000,
|
||||
} satisfies Model<"anthropic-messages">,
|
||||
"anthropic/claude-opus-4.7-fast": {
|
||||
id: "anthropic/claude-opus-4.7-fast",
|
||||
name: "Claude Opus 4.7 (Fast)",
|
||||
api: "anthropic-messages",
|
||||
provider: "vercel-ai-gateway",
|
||||
baseUrl: "https://ai-gateway.vercel.sh",
|
||||
compat: {"forceAdaptiveThinking":true,"supportsTemperature":false},
|
||||
reasoning: true,
|
||||
thinkingLevelMap: {"xhigh":"xhigh","max":"max"},
|
||||
input: ["text", "image"],
|
||||
cost: {
|
||||
input: 30,
|
||||
output: 150,
|
||||
cacheRead: 3,
|
||||
cacheWrite: 37.5,
|
||||
},
|
||||
contextWindow: 1000000,
|
||||
maxTokens: 128000,
|
||||
} satisfies Model<"anthropic-messages">,
|
||||
"anthropic/claude-opus-4.8": {
|
||||
id: "anthropic/claude-opus-4.8",
|
||||
name: "Claude Opus 4.8",
|
||||
@@ -641,6 +660,25 @@ export const VERCEL_AI_GATEWAY_MODELS = {
|
||||
contextWindow: 1000000,
|
||||
maxTokens: 128000,
|
||||
} satisfies Model<"anthropic-messages">,
|
||||
"anthropic/claude-opus-4.8-fast": {
|
||||
id: "anthropic/claude-opus-4.8-fast",
|
||||
name: "Claude Opus 4.8 (Fast)",
|
||||
api: "anthropic-messages",
|
||||
provider: "vercel-ai-gateway",
|
||||
baseUrl: "https://ai-gateway.vercel.sh",
|
||||
compat: {"forceAdaptiveThinking":true,"supportsTemperature":false},
|
||||
reasoning: true,
|
||||
thinkingLevelMap: {"xhigh":"xhigh","max":"max"},
|
||||
input: ["text", "image"],
|
||||
cost: {
|
||||
input: 10,
|
||||
output: 50,
|
||||
cacheRead: 1,
|
||||
cacheWrite: 12.5,
|
||||
},
|
||||
contextWindow: 1000000,
|
||||
maxTokens: 128000,
|
||||
} satisfies Model<"anthropic-messages">,
|
||||
"anthropic/claude-sonnet-4": {
|
||||
id: "anthropic/claude-sonnet-4",
|
||||
name: "Claude Sonnet 4",
|
||||
@@ -841,8 +879,8 @@ export const VERCEL_AI_GATEWAY_MODELS = {
|
||||
reasoning: true,
|
||||
input: ["text"],
|
||||
cost: {
|
||||
input: 0.21,
|
||||
output: 0.79,
|
||||
input: 0.25,
|
||||
output: 0.95,
|
||||
cacheRead: 0.13,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
@@ -2717,6 +2755,23 @@ export const VERCEL_AI_GATEWAY_MODELS = {
|
||||
contextWindow: 256000,
|
||||
maxTokens: 256000,
|
||||
} satisfies Model<"anthropic-messages">,
|
||||
"thinkingmachines/inkling": {
|
||||
id: "thinkingmachines/inkling",
|
||||
name: "Inkling",
|
||||
api: "anthropic-messages",
|
||||
provider: "vercel-ai-gateway",
|
||||
baseUrl: "https://ai-gateway.vercel.sh",
|
||||
reasoning: true,
|
||||
input: ["text", "image"],
|
||||
cost: {
|
||||
input: 1,
|
||||
output: 4.05,
|
||||
cacheRead: 0.17,
|
||||
cacheWrite: 0,
|
||||
},
|
||||
contextWindow: 256000,
|
||||
maxTokens: 256000,
|
||||
} satisfies Model<"anthropic-messages">,
|
||||
"xai/grok-4.1-fast-non-reasoning": {
|
||||
id: "xai/grok-4.1-fast-non-reasoning",
|
||||
name: "Grok 4.1 Fast Non-Reasoning",
|
||||
|
||||
@@ -38,6 +38,7 @@
|
||||
- Fixed inherited OpenAI Codex session IDs longer than 64 characters to meet the API limit ([#6630](https://github.com/earendil-works/pi-mono/issues/6630)).
|
||||
- Fixed inherited terminal output to normalize tab characters consistently ([#6697](https://github.com/earendil-works/pi-mono/pull/6697) by [@xz-dev](https://github.com/xz-dev)).
|
||||
- Fixed the Windows terminal title after checking npm packages ([#6629](https://github.com/earendil-works/pi-mono/issues/6629)).
|
||||
- Fixed Bun standalone binaries to bundle OAuth adapters for interactive logins.
|
||||
|
||||
## [0.80.7] - 2026-07-14
|
||||
|
||||
|
||||
@@ -1,9 +1,12 @@
|
||||
#!/usr/bin/env node
|
||||
import { registerBunOAuthFlows } from "@earendil-works/pi-ai/bun-oauth";
|
||||
import { APP_NAME } from "../config.ts";
|
||||
|
||||
process.title = APP_NAME;
|
||||
process.emitWarning = (() => {}) as typeof process.emitWarning;
|
||||
|
||||
registerBunOAuthFlows();
|
||||
|
||||
import { restoreSandboxEnv } from "./restore-sandbox-env.ts";
|
||||
|
||||
restoreSandboxEnv();
|
||||
|
||||
Reference in New Issue
Block a user