Significant-Gravitas/AutoGPT · error · HTTPException
Otto API request failed: {error_text}
Error message
Otto API request failed: {error_text} What it means
Raised inside OttoService.ask when the upstream Otto API answers with a non-200 status; the proxy forwards that same status code to the client with the upstream error body embedded in the detail. It reflects an upstream rejection (4xx/5xx from Otto itself), not a transport failure.
Source
Thrown at autogpt_platform/backend/backend/api/features/otto/service.py:115
"message_id": request.message_id,
}
if graph_data:
payload["graph_data"] = graph_data.model_dump()
logger.info(f"Sending request to Otto API for user {user_id}")
logger.debug(f"Request payload: {payload}")
async with session.post(
OTTO_API_URL,
json=payload,
headers=headers,
timeout=aiohttp.ClientTimeout(total=60),
) as response:
if response.status != 200:
error_text = await response.text()
logger.error(f"Otto API error: {error_text}")
raise HTTPException(
status_code=response.status,
detail=f"Otto API request failed: {error_text}",
)
data = await response.json()
logger.info(
f"Successfully received response from Otto API for user {user_id}"
)
return ApiResponse(**data)
except aiohttp.ClientError as e:
logger.error(f"Connection error to Otto API: {str(e)}")
raise HTTPException(
status_code=503, detail="Failed to connect to Otto service"
)
except asyncio.TimeoutError:
logger.error("Timeout error connecting to Otto API after 60 seconds")
raise HTTPException(View on GitHub (pinned to 9c8bb5550f)
Solutions
- Read the error_text in the detail and backend logs — it is Otto's own error message and pinpoints the cause.
- If 400: compare the request payload schema against the Otto API version deployed; fix payload construction.
- If 401/403/429: fix Otto-side credentials or back off and retry respecting rate limits.
- Pin/align the Otto API version with the backend release so the contract matches.
Example fix
// before — raw upstream body forwarded to clients
raise HTTPException(status_code=response.status, detail=f"Otto API request failed: {error_text}")
// after — sanitize and log the body, return a stable message
logger.error(f"Otto API {response.status}: {error_text}")
raise HTTPException(status_code=502, detail="Otto upstream request failed") Defensive patterns
Strategy: fallback
Validate before calling
// Validate the chat payload shape before sending through the proxy
if (!req?.message || typeof req.message !== 'string') throw new TypeError('invalid ChatRequest'); Type guard
function isChatRequest(o: unknown): o is ChatRequest {
return !!o && typeof (o as ChatRequest).message === 'string';
} Try / catch
try { return await otto.ask(req); }
catch (e) {
if ([400, 429].includes(e.status)) { /* fix payload / back off */ }
else if (e.status >= 500) { return fallbackAnswer; } // degraded mode
else throw e;
} Prevention
- Pin the Otto API version deployed alongside the backend.
- Log upstream status+body server-side; never show raw error_text to end users.
- Rate-limit client retries to avoid hammering an unhealthy upstream.
When it happens
Trigger: POST to the chat route while Otto returns 400 (malformed payload/graph data), 401/403 (Otto auth misconfigured), 429 (rate limited), or 5xx (Otto internal error). The forwarded status is whatever Otto returned.
Common situations: Schema drift between this backend and the Otto API causing 400s; expired or missing credentials on the Otto side; Otto overloaded returning 503/429; user-supplied graph data producing upstream validation errors.
Related errors
- str(e)
- Otto service is not configured
- Failed to connect to Otto service
- Request to Otto service timed out
- Internal server error in Otto proxy
AI-assisted analysis of Significant-Gravitas/AutoGPT@9c8bb5550f (2026-08-14).
Data as JSON: /api/errors/b1bf4c3c69e7a3ee.
Report an issue: GitHub.