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This tutorial sets up Bifrost as a self-hosted gateway for coding tools, with a dashboard at localhost:8080. The gateway runs on the speaker's machine, but the demonstrated models run on NVIDIA's infrastructure or OpenCode Zen. This setup does not run models locally or provide offline inference.
The speaker adds NVIDIA NIM through config.json as a custom OpenAI-compatible provider. The configuration reads the API key from an environment variable and allows chat completions, streaming and model listings. The walkthrough also explains why the provider base URL omits /v1 and why Bifrost needs the local configuration directory at startup. The speaker reports a dashboard provider-validation error and uses the configuration file to bypass it.
Claude Code 2.1.179 connects through the Bifrost CLI with a dummy Anthropic API key. Continue uses an OpenAI-compatible configuration inside VS Code, then builds a Python cryptocurrency tracker that refreshes every five seconds. The speaker also demonstrates Claude Desktop's third-party inference setting and a routing rule that substitutes a DeepSeek backend for an exposed Claude model name.
Request logs show messages, tool calls, latency and token usage. The speaker reports zero cost for these developer-tier demonstrations, while acknowledging that pricing can change. The final example sets a global $200 daily budget and a separate limit of 100 requests per six hours.
