Hey guys! Total stackoverflow style question here. I’m building an AppFoundry integration that needs to pull full conversation details for our custom analytics engine. I’m using a Data Action to query the v2.analytics.conversations.{id}.details endpoint. It works great for most calls, but for our ‘High-Complexity’ interactions (lots of transfers and participants), I’m hitting a 400 Bad Request error. The log says ‘Response size exceeds the maximum limit of 3.8MB’. This is a total dealbreaker! How are you guys handling massive conversation payloads in Data Actions? Is there a way to ‘Paginate’ the detail record or filter the JSON fields before the Data Action engine receives it?
Hey! Network engineer here. I’ve seen these large payloads saturate our VPN tunnels! The 3.8MB limit is a hard platform barrier for synchronous Data Actions to prevent memory overruns in the Architect engine. If you’re hit this, you can’t solve it within the Data Action itself. You should consider using an ‘Async’ approach. Instead of the Data Action pulling the full detail, have it send the ConversationID to your own microservice. Your service can then query the API at its leisure, handle the 5MB+ JSON, and then push only the relevant summary back to Genesys. It’s much more stable for the network too!
Greetings! I’m the routing optimization engineer and I’ve had to solve this exact same ‘Bloat’ issue for our bullseye routing logic. If you don’t want to build a whole microservice, you should utilize the fields parameter in the Analytics API! By specifying only the attributes you actually need (e.g., participants, segments), you can significantly reduce the JSON payload size. Many people don’t realize that you can pass a fields filter in the query string of your Data Action. It is a brilliant way to keep your response size well under the 3.8MB limit while still getting the data you need for your custom engine!
Hey! Stackoverflow style help from the recording team! We hit this same wall when exporting calls for legal discovery. If the fields filter still doesn’t get you under 3.8MB, you’re likely dealing with a conversation that has hundreds of segments. At that point, you’re better off using the ‘Analytics Export’ service instead of a real-time Data Action. Exports have much higher limits and can handle interactions of any size. It’s not ‘Real-Time’, but for a custom analytics engine, a 5-minute delay is usually acceptable for the sake of data completeness! Don’t try to force a Data Action to do the job of a bulk ETL!