What is the easiest way to monitor API latency and token consumption across multiple different AI vendor tools in real time
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the easiest way to monitor API latency and token consumption across multiple different AI vendor tools in real time
1 real search · 1 real-search pass
LLM observability platforms multi-provider token usage latency real-time Langfuse Helicone OpenTelemetry 2026Google ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
LLM observability platforms multi-provider token usage latency real-time Langfuse Helicone OpenTelemetry 2026 Google ↗
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