DeepSeek calls, costed down to the cache hit.
DeepSeek's chat and reasoning models are cheap per token — and its context caching makes cost depend on cache hits; Obsivara tells you what you're actually paying. Every call traced with input, output, and reasoning tokens, cache-hit versus cache-miss pricing, latency, and dollars, rolled up per workflow. Reasoning models can run long, so you see which calls burn tokens thinking. Instrument via the Obsivara SDK or OpenTelemetry, out of the request path.
DeepSeek, fully observable.
Cache-aware cost accounting
DeepSeek prices cache hits and misses differently; Obsivara tracks input, output, cache-hit, and cache-miss tokens so your real cost per call is accurate, not estimated.
Reasoning-token visibility
For reasoning models, the tokens spent thinking are tracked separately, so you see which calls run long and whether the reasoning earns its cost.
Latency and error monitoring
P50/P95/P99 latency per model, rate-limit tracking, and error classification across chat and reasoning endpoints.
Cross-provider comparison
DeepSeek side by side with your other providers on cost, latency, and reliability for the same workload.
Three steps. No code changes.
Add your DeepSeek usage source
Instrument your app with the Obsivara SDK or an OpenTelemetry GenAI exporter, or POST one usage event per request. DeepSeek's OpenAI-compatible API is captured without special handling. Your app keeps calling DeepSeek directly — Obsivara records each call out-of-band, so nothing routes through us and no latency is added.
Obsivara maps your usage
Within minutes you get a live inventory of every DeepSeek model in use, the workflows calling it, and its cost including cache savings.
Set budgets and alerts
Spend thresholds, latency SLOs, and error-rate alerts per workflow. Obsivara watches from there.
Signals tracked out of the box.
- →Tokens per call (input / output / reasoning)
- →Cache-hit vs cache-miss cost
- →Cost per call, workflow, and day
- →Latency P50 / P95 / P99 by model
- →Rate-limit and error rates
- →Reasoning-token growth over time
Common questions.
Does Obsivara account for DeepSeek's context caching?
Yes. Cache-hit and cache-miss tokens are tracked and priced separately, so your cost per call reflects what caching actually saved.
Can Obsivara show reasoning-model token usage?
Yes. For reasoning models, the tokens spent thinking are tracked on their own, so you can see which calls run long and whether it's worth it.
DeepSeek is OpenAI-compatible — does Obsivara just work?
Yes. Instrument with the Obsivara SDK, OpenTelemetry, or usage events; the OpenAI-compatible shape is captured without special configuration.