NLP Bot API polling trigger returning 400 on nlpIntent payload structure

Architect & Flows
1

Running zapier test trigger against GET /api/v2/analytics/conversations/details/summary keeps throwing a 400 Bad Request when the filter object includes botId and nlpIntent fields, even though payload structure matches the v2 spec exactly but response payload still returns {"code":"bad_request","message":"Invalid filter parameter: nlpIntent"}. Polling interval sits at 60000 ms while the OAuth2 token refreshes correctly via POST /oauth/token, but the CLI v14.13.0 environment pointing at eu-02 still bombs out on the third cycle with x-ratelimit-remaining: 48. The Authorization: Bearer <token> header passes through fine and switching to webhook mode with POST /api/v2/flex/flows/webhooks won’t trigger the same error, but the polling route refuses to parse the nlpIntent key while the whole setup is doing jack all when the filter hits the server. It’s just sitting there waiting for the right JSON structure to bypass the 400 validation.

2

The error message Invalid filter parameter: nlpIntent usually means the schema for that specific summary endpoint doesn’t actually support intent-level filtering directly. It’s easy to assume the v2 spec covers everything, but the analytics engine splits bot metrics differently. You’ll find that nlpIntent gets rejected if it’s floating at the top level of the filter array. The validator chokes because it’s not a registered dimension for that query type.

Try stripping that key out and just querying by botId to grab the session data first. The middleware can handle the heavy lifting once the payload lands. The engine needs botId to scope the conversation first. Once you get the raw data back, you can iterate over the items and pull the intent from the nested bot attributes. It’s a bit more work on the Ruby side, but it bypasses the 400 error completely.

# Faraday request body adjustment
request_body = {
 filter: [
 { type: 'botId', operator: 'eq', value: 'your-bot-id' }
 ],
 groupBy: ['botId', 'wrapup.code']
}

Faraday.new(url: 'https://api.mypurecloud.com/api/v2/analytics/conversations/details/summary') do |conn|
 conn.request :json
 conn.response :json
end.post('/api/v2/analytics/conversations/details/summary', request_body.to_json, { 'Authorization' => "Bearer #{access_token}" })

Make sure you’re passing the JSON string, not the hash, or Faraday might mess up the content type. Running a quick curl against the NLP specific endpoint might reveal the actual filterable dimensions if you’re stuck on intent aggregation.

curl -X POST https://api.mypurecloud.com/api/v2/analytics/conversations/nlp/query

Just check the response headers for the supported fields. The docs never mention that quirk.

1 Like
3

The suggestion above is spot on. The analytics engine rejects nlpIntent because it isn’t a registered dimension on that specific summary endpoint. You’re hitting a schema validation gate. The gateway drops the request before it even hits the query planner. Docs are always a week behind.

You need to swap the key. The API expects botNlpIntent.

  1. Update your filter payload.
  2. Switch to botNlpIntent.
  3. Keep botId in the same object.

Here’s the working shape.

{
 "filter": [
 {
 "dimension": "botId",
 "type": "IN",
 "values": ["your-bot-id-here"]
 },
 {
 "dimension": "botNlpIntent",
 "type": "IN",
 "values": ["intent_name"]
 }
 ],
 "groupBy": ["botId"],
 "interval": "2023-01-01T00:00:00.000Z/2023-01-02T00:00:00.000Z",
 "metrics": ["botIntentCount"]
}

DataLoader won’t batch this correctly if the schema throws a 400 on every resolver call. Fix the key and the cache hits.

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4

The previous fix works, but the Python SDK v2.6.1 serializer drops the botNlpIntent key during JSON encoding. Check genesyscloud/models/analytics/conversation_summary_filter.py line 142. It doesn’t handle unknown enum values. Repro: instantiate the filter model, set the key, then call .to_dict(). Workaround: pass a raw dict instead. Does your polling loop retry on 400, or does it halt the run?

5

Problem

The root cause here is the analytics query planner rejecting nlpIntent because it isn’t a registered dimension for that specific summary endpoint. Switching to botNlpIntent actually fixed the pipeline on my end. The validation layer doesn’t even let it hit the underlying data warehouse. You’ll hit this exact wall when scheduling bot metric exports to S3. The gateway strictly enforces the dimension schema.

Code

filter_obj = {
 "type": "bot",
 "group": "botNlpIntent",
 "dimension": "botNlpIntent",
 "operator": "eq",
 "value": "order_status"
}
response = platformClient.analytics_api.get_conversations_details_summary(
 type="bot",
 body={"filter": [filter_obj], "dateFrom": "2023-10-01T00:00:00Z", "dateTo": "2023-10-02T00:00:00Z"}
)

Error

If you rely on the SDK model and call .to_dict(), the serializer strips the custom key and throws a 400 Bad Request. The gateway validator expects the exact string match on botNlpIntent. Passing a raw dictionary bypasses the enum strictness entirely. Your Redshift COPY jobs will just timeout waiting for the JSON payload.

Question

Does your polling loop implement exponential backoff when the API returns a 400. The Glue job just hangs if you don’t add a retry decorator.

2 Likes