The intelligent model routing engine that automatically selects the best LLM for every task — cutting costs, improving quality, and freeing your team from guesswork.
One integration. Every model. Optimal results.
Talaria analyzes each task and auto-selects the best model per request — balancing quality, latency, and cost in real time.
Combine results from multiple models into unified responses with parallel_merge and sequential topologies. Get the best of every model.
Add any OpenAI SDK-compatible provider, self-hosted endpoint, or custom fine-tune. Talaria routes to all of them transparently.
Teams report up to 73% reduction in LLM spend by routing simple tasks to cheaper models and reserving costly frontier models for complex work.
Everything your AI team needs to manage, optimize, and scale.
Multi-strategy routing engine uses heuristics, LLM-based classification, and historical pass rates to select the optimal model. Supports auto, heuristics, and llm-classify modes with tunable confidence thresholds.
Parallel-merge topology dispatches the same task to multiple models and synthesizes the best response. Sequential topology chains models for multi-step reasoning. Configurable per-use-case.
Real-time spend tracking per model, provider, and org. View pass rates, cost per call, and ambient-to-routed comparisons. Identify savings opportunities at a glance.
Connect any OpenAI-compatible API provider — DeepSeek, Anthropic, OpenAI, Google, local Ollama instances, and custom endpoints. Talaria normalizes responses and tracks everything centrally.
Per-key and per-org dashboards show routing decisions, model performance, cost trends, and pass rates over customizable date ranges. Export data for your own BI tools.
Deploy Talaria behind your own firewall with Docker. Full data sovereignty. License activation, environment variable configuration, and Stripe billing integration included.
Start free, scale as you grow. No hidden fees.