Provider-agnostic LLM integration across OpenAI, Claude, and Gemini
Our LLM integration work keeps you provider-agnostic, so you can route between OpenAI, Anthropic Claude, Google Gemini, and open models like Llama or Mistral without rewriting your stack. We design prompts, stream tokens for responsive UIs, and enforce structured outputs through function calling and JSON schemas. Because models drift and fail, we build evaluation suites, retries, and fallbacks across providers. We also instrument token usage and latency so spend stays predictable. Typical tooling includes the Vercel AI SDK, LangChain or LlamaIndex, and OpenTelemetry tracing. We are honest about hallucination, rate limits, and the privacy tradeoffs of sending data to third-party APIs.
What's included
- Provider-agnostic routing across OpenAI, Claude, Gemini
- Token streaming for responsive chat interfaces
- Structured outputs via function calling and JSON schemas
- Evaluation suites, retries, and cross-provider fallbacks
- Token usage and latency cost monitoring
- Prompt design, versioning, and regression testing
A process that delivers
A clear, collaborative path from first conversation to a product in the hands of your users.
Discover & Strategy
We dig into your goals, users, and constraints to define the right thing to build, and why.
Design & Prototype
Wireframes, UI, and interactive prototypes you can test and feel before a line of code is written.
Build & Integrate
Senior engineers ship in tight iterations with clean, reviewed, well-tested code and clear demos.
Launch & Scale
We deploy, monitor, and keep improving, so your product grows with confidence, not chaos.
LLM Integration questions
Common questions about our llm integration work.
Not necessarily. We keep your LLM integration provider-agnostic with a routing layer, so switching between OpenAI, Claude, Gemini, or open models is a configuration change, not a rewrite. This protects you from price hikes, deprecations, and outages, and lets you match each task to the model that handles it best.
Related services
AI Integration
AI integration that adds LLMs, RAG, and copilots into your existing product through clean, reliable APIs.
OpenAI Integration
We build OpenAI-powered features using GPT models, the Responses and Assistants APIs, embeddings, vision, and Whisper.
RAG Development
We build RAG systems that ground language model answers in your documents, reducing hallucination with retrieval and citations.
Ready when you are
Let's build something that scales
Tell us what you're building. We'll bring the senior team, the clear process, and the engineering to make it real.