mem0ai/mem0 · error · Error
Databricks endpoint status did not report a state during ini
Error message
Databricks endpoint status did not report a state during initialization.
What it means
During initialization the store polls GET /endpoints/{name} until state is ONLINE. The state is read from endpoint_status.state or a top-level state. If the response shape is unrecognized — state is not a string — the store cannot distinguish provisioning from failure and throws rather than looping blindly.
Source
Thrown at mem0-ts/src/oss/src/vector_stores/databricks.ts:1219
}
}
private async waitForEndpointReadiness(): Promise<void> {
const deadline = Date.now() + this.syncTimeoutMs;
while (Date.now() <= deadline) {
const response = await this.httpClient.get(
`/endpoints/${encodeURIComponent(this.endpointName)}`,
);
const state =
response?.data?.endpoint_status?.state ?? response?.data?.state;
if (state === "ONLINE") {
return;
}
if (typeof state !== "string") {
throw new Error(
"Databricks endpoint status did not report a state during initialization.",
);
}
if (this.syncPollIntervalMs > 0) {
await new Promise((resolve) =>
setTimeout(resolve, this.syncPollIntervalMs),
);
}
}
throw new Error(
`Timed out waiting for Databricks endpoint ${this.endpointName} to become ready.`,
);
}
private async waitForIndexReadiness(): Promise<void> {
const deadline = Date.now() + this.syncTimeoutMs;View on GitHub (pinned to 001c235229)
Solutions
- Verify endpointName matches an existing Vector Search endpoint in the workspace UI
- Confirm Vector Search is enabled for the workspace/region
- Inspect the raw GET /api/2.0/vector-search/endpoints/{name} response to see what shape is actually returned (proxy interference, error envelope)
Defensive patterns
Strategy: retry
Validate before calling
const resp = await httpClient.get(`/api/2.0/vector-search/endpoints/${encodeURIComponent(endpointName)}`);
const state = resp?.data?.endpoint_status?.state ?? resp?.data?.state;
if (typeof state !== 'string') throw new Error('Unexpected endpoint status payload — check endpoint name and workspace'); Try / catch
try { await store.initialize(); } catch (e) { if (e instanceof Error && e.message.includes('did not report a state')) { /* verify endpointName exists and Vector Search is enabled, then retry */ } throw e; } Prevention
- Pre-create the Vector Search endpoint and confirm it appears in the workspace UI before app startup
- Log the raw endpoint-status response when polling fails to identify proxies/API-shape issues
When it happens
Trigger: The Vector Search API returns an unexpected payload: 200 with an error envelope, a truncated body, a proxy/SSO HTML page, or an API version whose response omits endpoint_status.state — during the initial wait for the endpoint to come online.
Common situations: Endpoint name typo so the GET returns a not-found envelope with no state; workspace where Vector Search is disabled; a gateway rewriting responses; the endpoint being deleted while initialize() polls.
Related errors
- Databricks storage-optimized endpoints only support TRIGGERE
- Databricks storage-optimized endpoints require dimensions di
- Databricks index status did not report a readiness flag afte
- index_type must be either 'DELTA_SYNC' or 'DIRECT_ACCESS'
- Failed to initialize Mem0Client. Please check your configura
AI-assisted analysis of mem0ai/mem0@001c235229 (2026-08-15).
Data as JSON: /api/errors/b8a1cc49cede6f1b.
Report an issue: GitHub.