This commit is contained in:
lila 2026-07-06 13:09:30 +02:00
parent cc89f0c75c
commit afd28d934e
26 changed files with 2103 additions and 427 deletions

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import type { LlmAdapter } from "./types.js";
interface GeminiResponse {
candidates: Array<{ content: { parts: Array<{ text: string }> } }>;
usageMetadata: {
promptTokenCount: number;
candidatesTokenCount: number;
totalTokenCount: number;
};
}
export class GeminiAdapter implements LlmAdapter {
private apiKey: string;
private model: string;
constructor(apiKey: string, model: string) {
this.apiKey = apiKey;
this.model = model;
}
async call(
words: string[],
systemPrompt: string,
): Promise<{
content: string;
promptTokens: number;
completionTokens: number;
totalTokens: number;
promptTimeMs: number;
completionTimeMs: number;
promptTokensPerSecond: number;
completionTokensPerSecond: number;
}> {
const url = `https://generativelanguage.googleapis.com/v1beta/models/${this.model}:generateContent?key=${this.apiKey}`;
const payload = {
contents: [
{
role: "user",
parts: [
{ text: systemPrompt + "\n\nWords: " + JSON.stringify(words) },
],
},
],
generationConfig: {
temperature: 0.1,
topP: 0.9,
maxOutputTokens: Math.ceil(words.length * 250 * 1.2),
},
};
const startTime = Date.now();
const response = await fetch(url, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(payload),
});
const totalTimeMs = Date.now() - startTime;
if (!response.ok) {
throw new Error(`Gemini API responded with status: ${response.status}`);
}
const json = (await response.json()) as GeminiResponse;
const content = json.candidates[0]?.content?.parts[0]?.text;
if (!content) {
throw new Error("Gemini response content is empty");
}
const promptTokens = json.usageMetadata.promptTokenCount;
const completionTokens = json.usageMetadata.candidatesTokenCount;
const totalTokens = json.usageMetadata.totalTokenCount;
// Gemini doesn't provide timing breakdown, so we estimate
const promptTimeMs = totalTimeMs * 0.3; // rough estimate
const completionTimeMs = totalTimeMs * 0.7; // rough estimate
return {
content,
promptTokens,
completionTokens,
totalTokens,
promptTimeMs,
completionTimeMs,
promptTokensPerSecond: promptTokens / (promptTimeMs / 1000),
completionTokensPerSecond: completionTokens / (completionTimeMs / 1000),
};
}
}