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Files, tools, and events

Files in

Seed the workspace before a run starts. Text and binary both work:

ts
await agent.run({
  prompt: 'Read feedback.txt and create report.md.',
  files: [
    { path: 'feedback.txt', text: feedback },
    { path: 'assets/data.bin', bytes: new Uint8Array([...]) },
  ],
  schema,
});

Paths must be relative workspace paths; absolute paths, .. segments, backslashes, and drive letters are rejected before the run starts.

Files out

Created and modified files are returned on the result:

ts
const result = await agent.run({ prompt, schema });

for (const file of result.files) {
  file.path; // workspace-relative
  file.change; // 'create' | 'modify'
  file.bytes; // Uint8Array
}

const report = result.files.find(f => f.path === 'report.md');
const text = report ? new TextDecoder().decode(report.bytes) : undefined;

With a caller-owned sandbox you can also just read the workspace directly (sandbox.readTextFile(...)) after (or during) runs.

Host tools

Tools are functions the agent can call in your process, such as application lookups and internal APIs that the sandbox cannot reach:

ts
import { z } from 'zod';

const agent = createAgent({
  model,
  tools: {
    lookupCustomer: {
      description: 'Look up customer account details by customer id.',
      schema: z.object({ id: z.string() }),
      execute: ({ id }) => db.customers.find(id), // sync or async
    },
  },
});
  • schema accepts any Standard Schema validator. The input is validated before execute runs and typed from the schema.
  • The return value is serialized back to the model.
  • Reserved names (used by the runtime): read, write, edit, bash, grep, glob, ls, submitResult, fileChange. Registering one throws at createAgent time.

Multi-part and image results

Use toolContent() when a host tool needs to return real content blocks to the model, such as a rendered PDF page:

ts
import { createAgent, toolContent } from 'runcell';
import { z } from 'zod';

const agent = createAgent({
  model,
  tools: {
    renderPdfPage: {
      description: 'Render one page of a PDF for visual inspection.',
      schema: z.object({ page: z.number().int().positive() }),
      execute: async ({ page }) => {
        const png: Uint8Array = await renderPage(page);
        return toolContent([
          { type: 'text', text: `Rendered PDF page ${page}:` },
          { type: 'image', data: png, mediaType: 'image/png' },
        ]);
      },
    },
  },
});
Tool return valueWhat the model receives
toolContent([...])Verbatim text parts and real image blocks
A stringThe string verbatim, unchanged from ordinary tool results
Anything elseJSON.stringify text (values that serialize to undefined become 'null'), unchanged from ordinary tool results

toolContent() accepts a non-empty array of text and image parts. Image data may be a Uint8Array or a base64 string; a base64 string must be standard padded canonical base64 — no whitespace, no data: URL prefix, no base64url alphabet. Raw bytes are base64-encoded once; media types are matched case-insensitively, with image/jpg normalized to image/jpeg. Supported types are image/png, image/jpeg, image/gif, and image/webp, with a 5 MB decoded limit per image. Invalid input throws eagerly from toolContent().

The helper is an explicit opt-in. Returning a bare array that looks like content parts still follows the ordinary JSON-stringified path. Text-only toolContent([...]) is also valid. For these results, onToolResult and result tool projections expose the normalized, JSON-safe content array with base64 image data. Runcell does not pre-check whether a model supports vision; a provider rejection surfaces through onError like other model errors.

See the runnable examples/11-image-tool-results.ts with npm run example:11.

Events

Lifecycle callbacks support logging, UIs, and metrics. They are optional and best-effort: callback errors are swallowed and do not affect the run. Register callbacks at the agent level for every run or per run via agent.run({ ..., events }). If both are set, both fire.

ts
const agent = createAgent({
  model,
  events: {
    onText: delta => process.stdout.write(delta),
    onToolCall: call => log('tool call', call.name, call.input),
    onToolResult: result => log('tool result', result.name),
    onFileChange: file => log('changed', file.path, file.change),
    onRepair: info => log('repair attempt', info.attempt, info.reason),
    onFinish: info => log('turn finished', info.finishReason),
    onError: error => log('error', error),
  },
});
EventFires when
onTexta text delta streams from the model
onToolCallthe agent invokes one of your tools
onToolResultone of your tools returns
onFileChangethe agent creates/modifies a workspace file
onRepaira repair turn starts (structured runs only)
onFinisha turn completes, with its finish reason
onErrorthe run fails after the session starts; usage is attached before the callback and the same object rejects the run

Callback exceptions are swallowed. In particular, an exception from onError does not replace the enriched failure object used to reject the run.

Events fire for run() and stream() alike. For streaming text to a client, prefer agent.stream()'s textStream over onText; see Streaming.