Tokenminning with Portkey

Portkey  is an AI gateway for production apps — unified API, fallback chains, budget controls, and observability across 250+ models.

Hub for the Portkey cluster. Best fit for teams needing org-wide caps and config overrides without self-hosting a proxy.

Quick checklist

1. Open Portkey dashboard → Analytics for spend by model and config.
2. Set budgets per API key and workspace — budgets.
3. Configure fallback chains with cheap models first — routing.
4. Use config overrides to enforce model allowlists per environment.
5. Export traces for cost attribution — observability.

Typical impact: 50–90% routing routine work to mini-tier; budgets prevent runaway agent loops.

How to reduce Portkey spending

1. Measure first

Portkey Analytics shows requests, tokens, cost, and latency per model, config, and API key.

→ Observability

2. Cap spend

Set budget limits on API keys and workspaces. Block requests when caps are reached.

→ Budgets

3. Route cheap

Build fallback chains: haiku/mini first, capable model second. Use config overrides to lock CI keys to cheap tiers.

→ Model routing

4. Cache prefixes

Portkey supports gateway-level caching for identical requests. Stabilize prefixes for provider-side cache too.

5. Trim upstream bloat

Reduce tool schemas and context in your agent — Context hygiene.

6. Guardrail in prod

Use config overrides for model allowlists. Separate configs for dev, staging, and production.

→ Budgets

How Portkey bills

Provider rates plus Portkey platform fee. Check current pricing on portkey.ai. BYOK supported for enterprise contracts.

Guides

Anti-patterns

Related

• Gateways
• Model routing
• Portkey docs