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154 lines (137 loc) · 4.22 KB
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import { google } from '@ai-sdk/google';
import { stepCountIs, streamText, tool } from 'ai';
import { z } from 'zod';
async function main() {
const result = streamText({
model: google('gemini-3.1-flash-lite-preview'),
abortSignal: AbortSignal.timeout(120_000),
stopWhen: stepCountIs(5),
tools: {
get_weather: tool({
description: 'Get the current weather for a given city.',
inputSchema: z.object({ city: z.string() }),
execute: async ({ city }) => ({
city,
tempC: city === 'Paris' ? 21 : city === 'Tokyo' ? 24 : 19,
conditions: 'sunny',
}),
}),
},
prompt:
'Use the get_weather tool to check the weather in Paris, Tokyo, and New York. Make exactly three get_weather tool calls in parallel in the same assistant step before you summarize.',
});
for await (const _ of result.textStream) {
// drain
}
const finalText = await result.text;
const warnings = await result.warnings;
const steps = await result.steps;
console.log('WARNINGS:');
console.log(JSON.stringify(warnings, null, 2));
console.log('\nFINAL TEXT:');
console.log(finalText);
console.log('\nTOOL-CALL PARTS:');
let toolCallCount = 0;
let signedToolCallCount = 0;
let unsignedToolCallCount = 0;
let toolResultCount = 0;
let multiStepRoundtrip = false;
for (const [stepIndex, step] of steps.entries()) {
const stepToolCallCount = step.content.filter(
part => part.type === 'tool-call',
).length;
const stepToolResultCount = step.content.filter(
part => part.type === 'tool-result',
).length;
if (stepToolCallCount >= 3 && stepToolResultCount >= 3) {
multiStepRoundtrip =
multiStepRoundtrip ||
steps
.slice(stepIndex + 1)
.some(laterStep =>
laterStep.content.some(
part => part.type === 'text' && part.text.trim().length > 0,
),
);
}
for (const part of step.content) {
if (part.type === 'tool-result') {
toolResultCount++;
continue;
}
if (part.type !== 'tool-call') {
continue;
}
toolCallCount++;
const thoughtSignature =
(
part.providerMetadata as
| { vertex?: { thoughtSignature?: unknown } }
| null
| undefined
)?.vertex?.thoughtSignature ??
(
part.providerMetadata as
| { google?: { thoughtSignature?: unknown } }
| null
| undefined
)?.google?.thoughtSignature ??
(
part.providerMetadata as
| { googleVertex?: { thoughtSignature?: unknown } }
| null
| undefined
)?.googleVertex?.thoughtSignature;
if (thoughtSignature == null) {
unsignedToolCallCount++;
} else {
signedToolCallCount++;
}
console.log(
[
`step[${stepIndex}]`,
`tool-call=${part.toolName}`,
`thoughtSignature=${thoughtSignature == null ? 'ABSENT' : 'PRESENT'}`,
`providerMetadata=${JSON.stringify(part.providerMetadata ?? null)}`,
].join(' '),
);
}
}
const warningText = JSON.stringify(warnings);
const fixed =
toolCallCount >= 3 &&
toolResultCount >= 3 &&
signedToolCallCount >= 1 &&
unsignedToolCallCount >= 2 &&
multiStepRoundtrip &&
!warningText.includes('skip_thought_signature_validator');
console.log('\nSUMMARY:');
console.log(
JSON.stringify(
{
stepCount: steps.length,
toolCallCount,
toolResultCount,
signedToolCallCount,
unsignedToolCallCount,
finalTextPresent: finalText.trim().length > 0,
multiStepRoundtrip,
hasSkipThoughtSignatureValidatorWarning: warningText.includes(
'skip_thought_signature_validator',
),
fixed,
},
null,
2,
),
);
if (!fixed) {
throw new Error(
'Expected a Gemini 3 multi-step roundtrip with at least three parallel tool calls, matching tool results, one signed call, at least two unsigned calls, final text, and no skip_thought_signature_validator warning.',
);
}
}
main().catch(error => {
console.error(error);
process.exitCode = 1;
});