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Helicone Reviews
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Topic starter
16/07/2026 3:05 pm
We were logging OpenAI API calls ourselves for cost and usage tracking. It was a mess of scripts and dashboards. Finally bit the bullet and moved to Helicone last month.
The migration wasn't a straight swap. Had to update all our app code to use the Helicone proxy URL and headers. The biggest hiccup was with our async batch processing—had to adjust timeouts. But the wins are real: seeing latency by model and user in one dashboard is huge for spotting issues. Also, their caching cut our GPT-4 costs for repeated queries noticeably. 😅
Curious if others have hit specific snags with tagging or if you've found the analytics useful for more than just cost tracking? Like, for informing prompt engineering?