Belvedir

Founded 2026

Fine-tune and serve open models using your real agent traffic and logs

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Belvedir to collect interaction logs from your agents, cluster them into clean training datasets, and fine-tune open models without managing custom infrastructure. It records every agent call, strips noise, and groups tasks into training environments. Once fine-tuned, you can evaluate model performance against base checkpoints and frontier models on your benchmarks. Belvedir also hosts your finished models with OpenAI-compatible endpoints or lets you export the weights to run on your own hardware, updating models continuously as new agent traffic arrives.

What Belvedir does

Capture agent call traces and user sessionsCluster conversation traces into clean dataset groupsFine-tune open weights with LoRABenchmark model accuracy against reference modelsHost fine-tuned models for real-time inferenceExport trained model weights to local storage or private cloudTrack training loss and evaluation loss across training runsRecord and reconstruct agent conversations directly from tracesCluster interaction logs into clean task-specific training datasetsFine-tune open models using managed cloud computeBenchmark fine-tuned models against base checkpoints and frontier modelsDeploy custom models with OpenAI-compatible chat endpointsExport trained model weights for private hostingConnect external tools and application data over Model Context Protocol