AI API Usage Tracking
Capture 11 comprehensive telemetry fields per request—including prompt tokens, completion tokens, cached tokens, model names, latency, and costs.
Dual Integration Architecture
Comparing SoftWritely SDK/Gateway proxying vs. Direct Provider API ingestion
Requests pass client & project IDs via SDK headers or proxy URL.
Evaluates active budget caps & logs 11 real-time telemetry fields.
OpenAI, Gemini, Claude, or DeepSeek fulfills inference stream.
Costs attributed instantly to client invoices, threshold monitors & alerts.
| Capability | SDK & Proxy Gateway (Planned) | Direct Provider API Ingestion |
|---|---|---|
| Real-time token metrics | Instant (per request) | Hourly / Daily sync |
| Granular project tagging | Full metadata attribution | Dependent on provider key isolation |
| Automated budget policy blocks | Yes (at 100% threshold) | No (alerts only) |
| Implementation effort | Change base URL or SDK import | Zero code changes (Read-only API key) |
Why Agencies Struggle Without Dedicated AI API Usage Tracking
Provider developer consoles only show high-level aggregate usage without client, project, or feature metadata. Telemetry is trapped in raw logs, making real-time financial auditing impossible.
Accurate FinOps requires reliable, low-overhead data collection. SoftWritely's Usage Tracking engine captures eleven core telemetry dimensions for every inference call. Recognizing that agencies have diverse architectures, SoftWritely is engineered with dual integration philosophies: Approach A (Direct Provider Billing Sync for zero-code historical auditing) and Approach B (SoftWritely FinOps SDK & Proxy Gateway for real-time per-request attribution and sub-millisecond telemetry capture).
Core Capabilities of AI API Usage Tracking
Gain full operational visibility into model performance, token volumes, prompt caching savings, and inference latency across all LLM vendors.
11 comprehensive request telemetry attributes captured
Designed to ensure auditable data integrity, structured export, and granular visibility.
Prompt vs. completion vs. cached token volume auditing
Designed to ensure auditable data integrity, structured export, and granular visibility.
Inference latency and HTTP execution status monitoring
Designed to ensure auditable data integrity, structured export, and granular visibility.
Dual integration modes: Read-only usage pull vs. Real-time SDK gateway
Designed to ensure auditable data integrity, structured export, and granular visibility.
Sub-millisecond proxy streaming overhead (< 1ms)
Designed to ensure auditable data integrity, structured export, and granular visibility.
Zero storage of raw user prompts or confidential payload text
Designed to ensure auditable data integrity, structured export, and granular visibility.
How AI API Usage Tracking Operates
Select Your Integration Approach
Connect read-only provider usage APIs for instant historical reports, or deploy the SoftWritely SDK/Gateway for real-time telemetry.
Stream 11 Telemetry Dimensions
Automatically record timestamp, organization, client, project, provider, model, prompt tokens, completion tokens, cached tokens, cost, and latency.
Track Prompt Caching & Token Efficiencies
Measure the tangible financial impact of prompt caching features from providers like Anthropic, OpenAI, and DeepSeek.
Feed Analytics & Safeguards
Telemetry feeds directly into real-time spend dashboards, threshold alert engines, and client profitability ledgers.
Frequently Asked Questions: AI API Usage Tracking
Explore Related SoftWritely Capabilities
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