Product Teams Shipping AI Features
Add drafting, summarisation, classification, or chat features to your product — wired in with proper error handling and fallbacks.
LLM Integration & APIs
We integrate large language models from OpenAI, Anthropic, Google, and open-source providers into your product through clean, provider-agnostic APIs — with fallbacks, cost controls, and observability built in from day one.
Provider-agnostic architectureStreaming & function callingCost & usage monitoring
Who we build for
Who We Build LLM Integrations For
Calling an LLM API is the easy part. Making it reliable, affordable, and swappable as models evolve is the real work. We integrate LLMs into your product with the same engineering discipline your other APIs already have.
Startups Choosing Their First AI Provider
Avoid vendor lock-in from day one — we build a provider-agnostic layer so you can switch models as pricing and capability shift.
Engineering Teams Managing AI Costs
Token costs add up fast. We build usage monitoring and routing so cheaper models handle simple tasks and premium models handle the rest.
Developers Who Need Streaming & Tool Use Done Right
Streaming responses, function calling, and structured outputs implemented properly — so your UI feels instant and reliable.
Why Chayaniq for LLM integration
LLM Integration & API Benefits
Calling a model is easy. Building it into your product reliably, affordably, and portably is the work. Here is what we deliver.
Provider-Agnostic Architecture
Switch between OpenAI, Anthropic, Google, or open-source models without rewriting your application — one interface, many providers.
Streaming & Function Calling
Real-time streaming responses and structured tool calls implemented correctly — so your UI feels instant and reliable.
Fallbacks & Error Handling
Automatic fallbacks when a provider is slow, rate-limited, or down — so a single outage doesn't take down your AI feature.
Cost & Usage Monitoring
Per-feature, per-user cost tracking and budget alerts — so AI spend never becomes a surprise on the invoice.
PII-Aware Request Handling
Sensitive data is identified and handled according to your policies before it ever reaches a model provider.
Versioned Prompt & Model Rollouts
Roll out model or prompt changes gradually with the ability to roll back instantly if quality regresses.
Industries we serve
LLM Integration & APIs Across Industries
Compliance, data sensitivity, and cost constraints around LLM use vary by industry. We design integrations that respect the realities of your vertical.
Remote patient monitoring
- Real-time collection of wearables data
- Enhanced doctor-patient communication
- Comprehensive view of patient health data
- Data-driven report generation
- Seamless integration with existing systems
- Improved patient outcomes
Electronic medical records (EMR)
- Interoperability of medical data across departments
- HIPAA / GDPR compliant solutions
- Improved patient care
- Quick access to patient records, vitals, and lab results
- Enhanced security and privacy of patient health data
Document management
- Compliant documentation workflow
- Streamlined management of health information
- Integrations with existing systems for a 360° data view
- Secure file sharing and access management
Insurance verification
- Automated medical insurance eligibility
- Proactive identification of coverage issues
- API-ready and HIPAA-compliant
How we work
Our Process for LLM Integration & API Delivery
Model integrations need to survive provider outages, pricing changes, and quality regressions. Our process builds in portability and observability from the first call.
Discovery & Provider Selection
We assess your use case, latency, cost, and compliance needs to choose the right provider and model mix.
Architecture Design
We design a provider-agnostic interface with fallback logic, so switching providers later is a config change, not a rewrite.
Build & Streaming Implementation
Streaming, function calling, and structured outputs implemented with robust error handling and retries.
Evaluation & Cost Testing
We benchmark accuracy, latency, and cost across providers and models before committing to defaults.
Deployment with Rollback
Versioned prompt and model rollouts — with the ability to roll back instantly if quality regresses.
Cost & Usage Monitoring
Per-feature cost dashboards and budget alerts — so AI spend stays visible and predictable.
How we integrate LLMs & APIs
Calling a model is easy. Building it into your product reliably, affordably, and portably is the work — and where we focus.
Switch between OpenAI, Anthropic, Google, or open-source models without rewriting your application.
- Unified interface across model providers
- Automatic fallbacks for outages and rate limits
- Self-hosted and open-source model support where needed
Our stack
Our LLM Integration & API Technology Stack
Provider-agnostic SDKs, streaming infrastructure, and monitoring — built so your AI feature survives outages, pricing changes, and provider switches.
Model Providers
- Anthropic Claude
- OpenAI GPT
- Google Gemini
- Mistral
- Open-source / vLLM
SDKs & Frameworks
- Vercel AI SDK
- LangChain
- Anthropic / OpenAI SDKs
Streaming & APIs
- Server-Sent Events
- WebSockets
- Function / tool calling
Security & Compliance
- PII redaction
- Audit logging
- Role-based access
Evaluation & Cost
- Promptfoo
- LangSmith
- Cost dashboards
Compute & Hosting
- AWS Lambda
- Vercel
- Docker
Perspectives
Ideas that pair with LLM Integration & APIs
Short reads from how we ship—architecture, product, and ops. Same themes as this service, different angles.
March 2026
Provider-Agnostic LLM Architecture: A Practical Pattern
How to design your AI integration layer so switching from OpenAI to Anthropic — or back — is a config change, not a rewrite.
Continue readingJanuary 2026
Streaming, Function Calling, and the Details That Make AI Feel Instant
The implementation details behind chat interfaces that feel responsive — and the mistakes that make them feel sluggish or broken.
Continue reading
