mastra-ai/mastra · error
No result received from agent execution on iteration ${itera
Error message
No result received from agent execution on iteration ${iterationCount} What it means
During each loop iteration, the workflow consumes the agent's structured-output stream and awaits stream.object; if the parsed result is falsy, this error declares that no structured result was produced for the current iteration. It guards downstream logic (task-status diffing, completion checks) from operating on a nonexistent result.
Source
Thrown at packages/agent-builder/src/workflows/workflow-builder/workflow-builder.ts:412
finalMessage = '';
}
if (chunk.type === 'tool-result') {
console.info(JSON.stringify(chunk, null, 2));
}
if (chunk.type === 'finish') {
console.info(chunk);
}
}
await stream.consumeStream();
finalResult = await stream.object;
console.info(`Iteration ${iterationCount} result:`, { finalResult });
if (!finalResult) {
throw new Error(`No result received from agent execution on iteration ${iterationCount}`);
}
const postIterationTaskStatus = await AgentBuilderDefaults.manageTaskList({ action: 'list' });
const postCompletedTasks = postIterationTaskStatus.tasks.filter(task => task.status === 'completed');
const postPendingTasks = postIterationTaskStatus.tasks.filter(task => task.status !== 'completed');
allTasksCompleted = postPendingTasks.length === 0;
console.info(
`After iteration ${iterationCount}: ${postCompletedTasks.length}/${expectedTaskIds.length} tasks completed in taskManager`,
);
// If agent needs clarification, break out and suspend
if (finalResult.status === 'needs_clarification' && finalResult.questions && finalResult.questions.length > 0) {
console.info(
`Agent needs clarification on iteration ${iterationCount}: ${finalResult.questions.length} questions`,
);
break;View on GitHub (pinned to 75dd419e61)
Solutions
- Retry the iteration/run — empty structured outputs are often transient model behavior
- Use a model that supports structured/object output reliably and check provider logs for refusals or truncation
- Validate the response schema is correct and not over-constrained (unsatisfiable schemas yield no valid object)
- Reduce input size or split tasks if the context window is being exceeded
- Add logging around stream.text/error before awaiting stream.object to capture what the model actually returned
Defensive patterns
Strategy: retry
Validate before calling
// before the run: confirm the model supports structured output and the schema compiles
export function assertStructuredOutputCapable(modelId: string, allowed: string[]) {
if (!allowed.includes(modelId)) throw new Error(`${modelId} may not support structured object output`);
} Type guard
export function hasResult(r: unknown): r is { status: string; [k: string]: unknown } {
return r != null && typeof r === 'object' && 'status' in r;
}
// after await stream.object: if (!hasResult(finalResult)) retry or fail fast Try / catch
let finalResult = await stream.object;
if (!finalResult) {
if (attempt < maxAttempts) { await sleep(backoff(attempt)); return retryIteration(); }
throw new Error(`No result received from agent execution on iteration ${iterationCount}`);
} Prevention
- Use models with reliable structured/object output support
- Keep the response schema satisfiable — avoid over-constrained fields
- Log stream.text/stream error before awaiting stream.object to see raw model output
- Watch for context-window overflow; trim inputs when refusals/empty outputs repeat
- Retry empty iterations with backoff before failing the run
When it happens
Trigger: The model stream ended without emitting a valid object matching the response schema: empty/refused completion, output failing schema validation so stream.object resolves to undefined, or the stream erroring/finishing early after consumeStream().
Common situations: Model refusing or returning empty output (content filter, overlong context), a model that does not reliably support structured output, malformed schema causing silent parse failure, or provider timeouts producing truncated streams.
Related errors
- No result received from agent execution
- Failed to initialize task manager: ${taskManagerResult.messa
- AGENT_GENERATE_LEGACY_STRUCTURED_OUTPUT_NOT_SUPPORTED
- AGENT_STREAM_V2_MODEL_NOT_SUPPORTED
- Sub-agent ${agent.id} returned a v1 model but does not imple
AI-assisted analysis of mastra-ai/mastra@75dd419e61 (2026-08-30).
Data as JSON: /api/errors/73eab9f4bdf7330b.
Report an issue: GitHub.