Files
gstack/test/helpers/providers/gemini.ts
T
Garry Tan 614354fc41 feat: multi-provider model benchmark (boil the ocean)
Adds the full spec Codex asked for: real provider adapters with auth
detection, normalized RunResult, pricing tables, tool compatibility
maps, parallel execution with error isolation, and table/JSON/markdown
output. Judge stays on Anthropic SDK as the single stable source of
quality scoring, gated behind --judge.

Codex flagged the original plan as massively under-scoped — the
existing runner is Claude-only and the judge is Anthropic-only. You
can't benchmark GPT or Gemini without real provider infrastructure.
This commit ships it.

New architecture:

  test/helpers/providers/types.ts       ProviderAdapter interface
  test/helpers/providers/claude.ts      wraps `claude -p --output-format json`
  test/helpers/providers/gpt.ts         wraps `codex exec --json`
  test/helpers/providers/gemini.ts      wraps `gemini -p --output-format stream-json --yolo`
  test/helpers/pricing.ts               per-model USD cost tables (quarterly)
  test/helpers/tool-map.ts              which tools each CLI exposes
  test/helpers/benchmark-runner.ts      orchestrator (Promise.allSettled)
  test/helpers/benchmark-judge.ts       Anthropic SDK quality scorer
  bin/gstack-model-benchmark            CLI entry
  test/benchmark-runner.test.ts         9 unit tests (cost math, formatters, tool-map)

Per-provider error isolation:
  - auth → record reason, don't abort batch
  - timeout → record reason, don't abort batch
  - rate_limit → record reason, don't abort batch
  - binary_missing → record in available() check, skip if --skip-unavailable

Pricing correction: cached input tokens are disjoint from uncached
input tokens (Anthropic/OpenAI report them separately). Original
math subtracted them, producing negative costs. Now adds cached at
the 10% discount alongside the full uncached input cost.

CLI:
  gstack-model-benchmark --prompt "..." --models claude,gpt,gemini
  gstack-model-benchmark ./prompt.txt --output json --judge
  gstack-model-benchmark ./prompt.txt --models claude --timeout-ms 60000

Output formats: table (default), json, markdown. Each shows model,
latency, in→out tokens, cost, quality (when --judge used), tool calls,
and any errors.

Known limitations for v1:
- Claude adapter approximates toolCalls as num_turns (stream-json
  would give exact counts; v2 can upgrade).
- Live E2E tests (test/providers.e2e.test.ts) not included — they
  require CI secrets for all three providers. Unit tests cover the
  shape and math.
- Provider CLIs sometimes return non-JSON error text to stdout; the
  parsers fall back to treating raw output as plain text in that case.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-17 06:16:42 +08:00

124 lines
4.8 KiB
TypeScript

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<AvailabilityCheck> {
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<RunResult> {
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,
};
}
}