Braintrust AI Proxy
Braintrust AI Proxy — Caching and logging proxy for LLM API calls with cost tracking and unified provider interface.
Our Verdict
Clear win if you already use Braintrust; weaker as a standalone proxy vs Helicone or Portkey.
Pros
- Unified interface across OpenAI, Anthropic, others
- Response caching cuts repeat-call cost
- Logs tie into Braintrust evals
Cons
- Adds a network hop and potential failure point
- Most value requires full Braintrust suite
- Cache hits tricky for dynamic prompts
Best for: Teams standardizing LLM evals and observability on Braintrust
Not for: Teams only needing a lightweight proxy without eval tooling
When to Use Braintrust AI Proxy
Good fit if you need
- Proxying LLM API calls to log, cache, and rate-limit centrally
- A/B testing multiple models behind a single proxy endpoint
- Reducing LLM costs via semantic caching of repeated prompts
- Capturing all LLM traces for observability and debugging
Lock-in Assessment
Low 5/5
Lock-in Score 5/5
Pricing
Price wrong?Braintrust AI Proxy Pricing
- Pricing Model
- freemium
- Free Tier
- Yes
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Community Discussion
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