import type { ProviderAdapter, RunOpts, RunResult, AvailabilityCheck } from './types'; import { estimateCostUsd } from '../pricing'; import { execFileSync, spawnSync } from 'child_process'; import * as fs from 'fs'; import * as path from 'path'; import * as os from 'os'; /** * Gemini adapter — wraps the `gemini` CLI. * * Gemini CLI auth comes from either ~/.config/gemini/ or GOOGLE_API_KEY. Output * format is NDJSON with `message`/`tool_use`/`result` events when `--output-format * stream-json` is requested. This adapter uses a single-response form for simplicity * in benchmarks; richer streaming lives in gemini-session-runner.ts. */ export class GeminiAdapter implements ProviderAdapter { readonly name = 'gemini'; readonly family = 'gemini' as const; async available(): Promise { const res = spawnSync('sh', ['-c', 'command -v gemini'], { timeout: 2000 }); if (res.status !== 0) { return { ok: false, reason: 'gemini CLI not found on PATH. Install per https://github.com/google-gemini/gemini-cli' }; } const cfgDir = path.join(os.homedir(), '.config', 'gemini'); const hasCfg = fs.existsSync(cfgDir); const hasKey = !!process.env.GOOGLE_API_KEY; if (!hasCfg && !hasKey) { return { ok: false, reason: 'No Gemini auth found. Log in via `gemini login` or export GOOGLE_API_KEY.' }; } return { ok: true }; } async run(opts: RunOpts): Promise { const start = Date.now(); // Default to --yolo (non-interactive) and stream-json output so we can parse // tokens + tool calls. Callers can override via extraArgs. const args = ['-p', opts.prompt, '--output-format', 'stream-json', '--yolo']; if (opts.model) args.push('--model', opts.model); if (opts.extraArgs) args.push(...opts.extraArgs); try { const out = execFileSync('gemini', args, { cwd: opts.workdir, timeout: opts.timeoutMs, encoding: 'utf-8', maxBuffer: 32 * 1024 * 1024, }); const parsed = this.parseStreamJson(out); return { output: parsed.output, tokens: parsed.tokens, durationMs: Date.now() - start, toolCalls: parsed.toolCalls, modelUsed: parsed.modelUsed || opts.model || 'gemini-2.5-pro', }; } catch (err: unknown) { const durationMs = Date.now() - start; const e = err as { code?: string; stderr?: Buffer; signal?: string; message?: string }; const stderr = e.stderr?.toString() ?? ''; if (e.signal === 'SIGTERM' || e.code === 'ETIMEDOUT') { return this.emptyResult(durationMs, { code: 'timeout', reason: `exceeded ${opts.timeoutMs}ms` }, opts.model); } if (/unauthorized|auth|login|api key/i.test(stderr)) { return this.emptyResult(durationMs, { code: 'auth', reason: stderr.slice(0, 400) }, opts.model); } if (/rate[- ]?limit|429|quota/i.test(stderr)) { return this.emptyResult(durationMs, { code: 'rate_limit', reason: stderr.slice(0, 400) }, opts.model); } return this.emptyResult(durationMs, { code: 'unknown', reason: (e.message ?? stderr ?? 'unknown').slice(0, 400) }, opts.model); } } estimateCost(tokens: { input: number; output: number; cached?: number }, model?: string): number { return estimateCostUsd(tokens, model ?? 'gemini-2.5-pro'); } /** * Parse gemini NDJSON stream events: * init → session id (discarded here) * message { delta: true, text } → concat to output * tool_use { name } → increment toolCalls * result { usage: { input_token_count, output_token_count } } → tokens */ private parseStreamJson(raw: string): { output: string; tokens: { input: number; output: number }; toolCalls: number; modelUsed?: string } { let output = ''; let input = 0; let out = 0; let toolCalls = 0; let modelUsed: string | undefined; for (const line of raw.split('\n')) { const s = line.trim(); if (!s) continue; try { const obj = JSON.parse(s); if (obj.type === 'message' && typeof obj.text === 'string') { output += obj.text; } else if (obj.type === 'tool_use') { toolCalls += 1; } else if (obj.type === 'result') { const u = obj.usage ?? {}; input += u.input_token_count ?? u.prompt_tokens ?? 0; out += u.output_token_count ?? u.completion_tokens ?? 0; if (obj.model) modelUsed = obj.model; } } catch { // skip malformed lines } } return { output, tokens: { input, output: out }, toolCalls, modelUsed }; } private emptyResult(durationMs: number, error: RunResult['error'], model?: string): RunResult { return { output: '', tokens: { input: 0, output: 0 }, durationMs, toolCalls: 0, modelUsed: model ?? 'gemini-2.5-pro', error, }; } }