OpenAI Integration
OpenAI Integration — Production-Grade, Not Just a Prototype
Anyone can call the OpenAI API. Kovil AI builds OpenAI integrations that handle rate limits, cost spikes, latency, and production reliability — so your product works when customers are actually using it.
What We Build
AI copilots embedded in your existing product — streaming, low-latency, production-safe
Document Q&A and search using OpenAI Embeddings + Assistants API with file search
Function calling and Structured Outputs for reliable JSON extraction and tool use
Fine-tuned models on your proprietary data for custom tone, format, or domain knowledge
LLMOps infrastructure — cost dashboards, prompt versioning, evaluation pipelines, rate limit handling
APIs & Technologies
How It Works
Scope the Integration
Tell us what you want to build. We recommend the right OpenAI APIs and architecture for your use case.
Build & Evaluate
Milestone-gated development with latency, cost, and quality benchmarks at each phase.
Deploy & Monitor
Production deployment with cost monitoring, rate limit handling, and reliability dashboards.
Legal / LegalTech
GPT-4 Contract Review — 94% of Clauses Automated in Production
94% Automated
78% Faster Review
Frequently Asked Questions
What OpenAI APIs do you integrate?
GPT-4, GPT-4o, GPT-4o mini, the Assistants API (threads, files, tools), Function Calling, Structured Outputs, Streaming, Batch API, Embeddings API, Fine-tuning API, DALL-E, and Whisper (transcription).
What does "production-grade" mean for OpenAI integration?
It means: rate limit handling and retry logic, cost monitoring and alerting, prompt versioning and evaluation pipelines, streaming for low-latency UX, fallback routing when models are unavailable, and comprehensive logging. Not a prototype — production-ready from day one.
Do you work with the Assistants API or raw completions?
Both. The Assistants API (with threads, file search, and code interpreter) is ideal for persistent conversation and document Q&A. Raw completions give you more control for custom pipelines. We choose based on your use case.
Can you integrate OpenAI with our existing product?
Yes — AI copilots, document Q&A, search, workflow automation, and content generation features can all be integrated into existing products without rebuilding your stack.
Do you handle OpenAI cost optimization?
Yes. Caching, model selection (right model for each task), prompt compression, Batch API for non-real-time workloads, and cost dashboards. OpenAI costs can spiral without careful management.
Can you fine-tune a model on our data?
Yes. Fine-tuning GPT-4o mini and other fine-tunable models on your proprietary data. We assess whether fine-tuning, RAG, or both is the right approach based on your use case and data volume.
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Fixed price. Milestone-gated. Zero delivery risk. Zero termination fees.
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