Claude Code Integration
Route Claude Code sessions through FastRouter to access multiple models, monitor usage, track costs, and apply enterprise governance without changing your core development workflow.
Build a dependable Deep Research Skill for Claude Code with FastRouter’s unified, OpenAI-compatible API. Give research workflows access to 100+ models, then compare outputs, track request-level performance, and apply spend controls from one control plane. Route around provider issues automatically, test new models without rebuilding integrations, and keep exploratory coding work visible to your team.
Unified tools for researching, evaluating, routing, and governing AI models inside Claude Code workflows.
Route Claude Code sessions through FastRouter to access multiple models, monitor usage, track costs, and apply enterprise governance without changing your core development workflow.
Run the same research prompt across available models side by side to compare response quality, latency, and cost before selecting an approach for production work.
Review request logs, model outcomes, latency, token usage, and errors in one place, helping teams debug research workflows and identify performance improvements quickly.
FastRouter helps teams turn Claude Code research into a more resilient, measurable workflow. Connect through one OpenAI-compatible endpoint, access 100+ models, and compare alternatives without maintaining separate provider integrations. Built-in routing, fallback, logging, evaluations, and spend controls help developers test ideas quickly while platform teams retain visibility over quality, latency, usage, and multi-provider AI costs.
Explore how teams standardize reliable, measurable AI workflows across models and providers.
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
A unified control plane for teams operating multi-model AI in development and production.
Use one OpenAI-compatible endpoint instead of maintaining separate integrations for every AI provider.
Access 100+ models and switch model choices without rewriting your Claude Code workflow.
Track requests, latency, errors, usage, and costs through consistent cross-provider dashboards and logs.
Apply project and API-key limits to keep exploratory research usage accountable and predictable.
Built for reliable, governed multi-model AI operations.
FastRouter is an LLMOps platform designed to help developers and organizations run multi-provider AI workloads through one OpenAI-compatible control plane. Rather than requiring separate integrations and operational tools for each model provider, the platform brings routing, observability, experiment tracking, guardrails, cost governance, and evaluations together. For Claude Code users, this approach supports research workflows that can compare models, observe each request, and adapt model choices without rebuilding application connections. FastRouter also provides automatic fallback and centralized controls, helping teams reduce single-provider dependence while keeping AI access measurable. The platform is positioned as an operational foundation for production AI, supporting text, image, video, speech, and embedding workloads through a unified API.
A Deep Research Skill for Claude Code is a structured workflow that helps developers investigate a question, gather and compare AI-generated findings, and use the results while coding. FastRouter can support this workflow by routing Claude Code sessions through a unified API, giving researchers access to multiple models and centralized visibility into requests, latency, usage, and cost.
Talk with our team about multi-model Claude Code access and controls.
Unified access pattern for multi-provider AI
Broad model availability through one endpoint
Evaluate the platform before production adoption
Share your Claude Code and AI research requirements. We’ll help you explore multi-model access, routing, observability, and governance options.
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To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.