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@@ -15,8 +15,9 @@ export namespace Config {
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outputCached: z.number(),
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}),
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contextWindow: z.number(),
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maxTokens: z.number(),
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maxTokens: z.number().optional(),
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attachment: z.boolean(),
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reasoning: z.boolean().optional(),
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});
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export type Model = z.output<typeof Model>;
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@@ -7,7 +7,10 @@ export namespace BunProc {
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cmd: string[],
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options?: Bun.SpawnOptions.OptionsObject<any, any, any>,
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) {
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const root = path.resolve(process.cwd(), process.argv0);
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const root =
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process.argv0 !== "bun"
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? path.resolve(process.cwd(), process.argv0)
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: process.argv0;
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log.info("running", {
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cmd: [root, ...cmd],
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options,
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@@ -94,6 +94,7 @@ cli
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const providers = await LLM.providers();
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const providerID = Object.keys(providers)[0];
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const modelID = Object.keys(providers[providerID].info.models!)[0];
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console.log("using", providerID, modelID);
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const result = await Session.chat({
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sessionID: session.id,
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providerID,
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@@ -35,10 +35,45 @@ export namespace LLM {
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},
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},
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},
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openai: {
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models: {
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"codex-mini-latest": {
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name: "Codex Mini",
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cost: {
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input: 1.5 / 1_000_000,
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inputCached: 0.375 / 1_000_000,
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output: 6.0 / 1_000_000,
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outputCached: 0.0 / 1_000_000,
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},
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contextWindow: 200000,
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maxTokens: 100000,
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attachment: true,
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reasoning: true,
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},
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},
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},
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google: {
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models: {
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"gemini-2.5-pro-preview-03-25": {
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name: "Gemini 2.5 Pro",
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cost: {
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input: 1.25 / 1_000_000,
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inputCached: 0 / 1_000_000,
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output: 10 / 1_000_000,
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outputCached: 0 / 1_000_000,
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},
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contextWindow: 1000000,
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maxTokens: 50000,
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attachment: true,
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},
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},
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},
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};
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const AUTODETECT: Record<string, string[]> = {
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anthropic: ["ANTHROPIC_API_KEY"],
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openai: ["OPENAI_API_KEY"],
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google: ["GOOGLE_GENERATIVE_AI_API_KEY"],
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};
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const state = App.state("llm", async (app) => {
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