@tanstack/ai-code-mode/dist/esm/create-system-prompt.js

Code Mode for TanStack AI - LLM-driven code execution in secure sandboxes

import { toolsToBindings } from "./bindings/tool-to-binding.js";
import { generateTypeStubs } from "./type-generator/json-schema-to-ts.js";
function createCodeModeSystemPrompt(config) {
  const { tools } = config;
  const bindings = toolsToBindings(tools, "external_");
  const typeStubs = generateTypeStubs(bindings);
  const functionDocs = Object.entries(bindings).map(([name, binding]) => {
    const doc = `- \`${name}(input)\`: ${binding.description}`;
    return doc;
  }).join("\n");
  return `## Code Execution Tool

You have access to \`execute_typescript\` which runs TypeScript code in a sandboxed environment.

### When to Use

Use \`execute_typescript\` when you need to:
- Process data with loops, conditionals, or complex logic
- Make multiple API calls in parallel (Promise.all)
- Transform, filter, or aggregate data
- Perform calculations or data analysis

For simple operations, prefer calling tools directly.

### Available External APIs

Inside your TypeScript code, you can call these async functions:

${functionDocs}

### Type Definitions

\`\`\`typescript
${typeStubs}
\`\`\`

### Example

\`\`\`typescript
// Fetch weather for multiple cities in parallel
const cities = ["Tokyo", "Paris", "NYC"];
const results = await Promise.all(
  cities.map(city => external_fetchWeather({ location: city }))
);

// Find the warmest city
const warmest = results.reduce((prev, curr) => 
  curr.temperature > prev.temperature ? curr : prev
);

return { warmestCity: warmest.location, temperature: warmest.temperature };
\`\`\`

### Important Notes

- All \`external_*\` calls are async - always use \`await\`
- Return a value to pass results back to you
- Use \`console.log()\` for debugging (logs are captured)
- The sandbox is isolated - no network access or file system
- Each execution is independent (no shared state between calls)
`;
}
export {
  createCodeModeSystemPrompt
};
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