How does GPT-4o compare to Claude for building AI agents?

GPT-4o excels at function calling reliability, structured JSON output, and multi-tool orchestration, making it ideal for agents that need to execute complex workflows. Claude has advantages in long-context understanding and nuanced reasoning. We often recommend GPT-4o for tool-heavy agents and Claude for knowledge-intensive tasks, and can build hybrid systems that use both.

Should I use the Assistants API or build a custom agent architecture?

The Assistants API is excellent for rapid development — it handles threads, context management, file search, and Code Interpreter out of the box. However, custom architectures give you more control over memory, routing, and cost optimization. We recommend the Assistants API for most use cases and custom builds when you need fine-grained control or multi-agent orchestration.

What are the limits of GPT function calling?

GPT-4o supports up to 128 function definitions per request with parallel function calling. Each function call adds tokens to the context, so we optimize by grouping related functions and using clear, concise schemas. For complex workflows requiring 20+ sequential tool calls, we implement orchestration layers to manage state and error recovery.

What data is needed for fine-tuning a GPT model?

Fine-tuning GPT-4o-mini requires a minimum of 50 training examples, though we recommend 500-1000 for production quality. Each example is a conversation with system prompt, user message, and ideal assistant response. We handle the full pipeline — data collection, cleaning, formatting, training, evaluation, and deployment — ensuring your fine-tuned model outperforms the base model on your specific tasks.

How do you optimize GPT agent costs in production?

We implement multiple cost optimization strategies: intelligent routing between GPT-4o and GPT-4o-mini based on query complexity, prompt caching for repeated patterns, context window management to minimize tokens, batching API calls where possible, and fine-tuning smaller models to replace expensive GPT-4o calls for routine tasks. Most clients see 40-60% cost reduction after optimization.

How do you handle OpenAI rate limits and downtime?

We architect agents with automatic retry logic, exponential backoff, and request queuing. For mission-critical applications, we implement fallback models (Claude, Gemini) that activate during OpenAI outages. We also use Azure OpenAI as a redundant endpoint for enterprise clients who need guaranteed uptime and SLA coverage.

Can you deploy the GPT agent on Azure OpenAI for compliance?

Yes. We deploy on Azure OpenAI Service for clients who need data residency guarantees, enterprise compliance (SOC 2, HIPAA, GDPR), and private network deployment. Azure OpenAI provides the same GPT-4o models with enterprise-grade security, VNet integration, and managed identity authentication.

OpenAI GPT Agent

OpenAI GPT Agent Development Services

Build production AI agents powered by OpenAI's GPT-4o, Assistants API, function calling, and persistent threads. We engineer GPT agents that go beyond chat — they execute tasks, call your APIs, search your knowledge base, and run code on demand.

Schedule a Call

INR 2000

Per Hour

50+

AI Agents Built

4.9/5

Client Rating

<2 Weeks

MVP Delivery

OpenAI GPT Agent Capabilities

Leverage the full power of OpenAI's ecosystem for intelligent, production-grade agents

GPT-4o & GPT-4o-mini Optimization

Strategic model routing between GPT-4o for complex reasoning and GPT-4o-mini for high-volume, cost-sensitive tasks. We optimize token usage, latency, and cost per conversation across your agent workflows.

Assistants API with Persistent Threads

Build stateful agents using OpenAI's Assistants API with persistent conversation threads, automatic context management, and long-running multi-turn interactions without manual state handling.

Function Calling & Tool Use

Define custom functions that GPT calls autonomously — from CRM lookups and database queries to API calls and payment processing. Structured JSON output ensures reliable tool execution every time.

Code Interpreter Integration

Enable your agent to write and execute Python code in a sandboxed environment for data analysis, chart generation, file transformations, and complex calculations — all within the conversation.

File Search & Retrieval

Built-in RAG with OpenAI's file search tool that indexes your documents, PDFs, and knowledge bases. Automatic chunking, embedding, and retrieval with citation support out of the box.

Fine-Tuning for Domain Expertise

Train GPT-4o-mini or GPT-4o on your domain-specific data to improve accuracy, reduce hallucinations, and lower costs. We handle data preparation, training, evaluation, and deployment of fine-tuned models.

Our GPT Agent Development Process

A proven 5-step process from requirements to production GPT agent deployment

Discovery & Architecture

We analyze your workflows, identify where GPT agents add the most value, and architect the system — selecting between GPT-4o and GPT-4o-mini, defining function schemas, and planning the Assistants API thread structure.

Prompt Engineering & Prototyping

Craft system instructions, define tool schemas with precise JSON specs, configure file search indexes, and deliver a working GPT agent prototype you can test within the first week.

Integration & Development

Connect the GPT agent to your APIs via function calling, set up file search with your knowledge base, implement Code Interpreter for data tasks, and build the full production application with error handling and fallbacks.

Testing & Evaluation

Rigorous testing of function call accuracy, response quality, edge cases, token usage optimization, and latency benchmarks. We use automated evaluation pipelines and LLM-as-judge scoring across hundreds of test scenarios.

Deployment & Monitoring

Production deployment with OpenAI usage dashboards, cost tracking per conversation, function call analytics, error monitoring, and continuous prompt optimization. 30-day post-launch support included.

GPT Agent Development Pricing

Transparent pricing for OpenAI GPT agent projects

Starter Agent

INR 50,000starting

Single-purpose GPT agent with basic function calling

GPT-4o or GPT-4o-mini powered
Up to 5 custom functions
Basic file search (100 documents)
Single channel deployment
Assistants API with threads
Source code handover
14-day post-launch support

Get Started

What Our Clients Say

"Edesy built a GPT-4o agent with function calling that handles our entire order management workflow. It looks up orders, processes returns, and updates our inventory system — all through a WhatsApp conversation. Support tickets dropped by 72% in the first month."

Head of Operations

Operations at D2C Brand (INR 50Cr ARR)

"The Assistants API agent they built for our legal team searches through 10,000+ contracts and delivers cited answers in seconds. It uses Code Interpreter for data extraction and generates summary reports. Our paralegals save 15+ hours per week."

Managing Partner

Legal at Corporate Law Firm

"We switched from a basic chatbot to a custom GPT-4o agent with fine-tuning on our product data. Accuracy went from 64% to 94%, and the cost per conversation dropped by 40% thanks to intelligent GPT-4o-mini routing for simple queries."

CTO

Technology at SaaS Startup (Series A)

OpenAI GPT Agent

OpenAI GPT Agent Development Services

Schedule a Call

INR 2000

Per Hour

50+

AI Agents Built

4.9/5

Client Rating

<2 Weeks

MVP Delivery

Trusted by businesses worldwide

ShopifyAmazonStripeSlackNotionVercel

OpenAI GPT Agent Capabilities

Leverage the full power of OpenAI's ecosystem for intelligent, production-grade agents

GPT-4o & GPT-4o-mini Optimization

Assistants API with Persistent Threads

Build stateful agents using OpenAI's Assistants API with persistent conversation threads, automatic context management, and long-running multi-turn interactions without manual state handling.

Function Calling & Tool Use

Define custom functions that GPT calls autonomously — from CRM lookups and database queries to API calls and payment processing. Structured JSON output ensures reliable tool execution every time.

Code Interpreter Integration

Enable your agent to write and execute Python code in a sandboxed environment for data analysis, chart generation, file transformations, and complex calculations — all within the conversation.

File Search & Retrieval

Built-in RAG with OpenAI's file search tool that indexes your documents, PDFs, and knowledge bases. Automatic chunking, embedding, and retrieval with citation support out of the box.

Fine-Tuning for Domain Expertise

<800ms

GPT-4o Response Latency

99.4%

Function Call Success Rate

$0.02

Avg Cost Per Conversation

30+

Fine-Tuned Models Deployed

Our GPT Agent Development Process

A proven 5-step process from requirements to production GPT agent deployment

Discovery & Architecture

Prompt Engineering & Prototyping

Craft system instructions, define tool schemas with precise JSON specs, configure file search indexes, and deliver a working GPT agent prototype you can test within the first week.

Integration & Development

Testing & Evaluation

Deployment & Monitoring

Production deployment with OpenAI usage dashboards, cost tracking per conversation, function call analytics, error monitoring, and continuous prompt optimization. 30-day post-launch support included.

GPT Agent Development Pricing

Transparent pricing for OpenAI GPT agent projects

Starter Agent

INR 50,000starting

Single-purpose GPT agent with basic function calling

GPT-4o or GPT-4o-mini powered
Up to 5 custom functions
Basic file search (100 documents)
Single channel deployment
Assistants API with threads
Source code handover
14-day post-launch support

Get Started

What Our Clients Say

Head of Operations

Operations at D2C Brand (INR 50Cr ARR)

Managing Partner

Legal at Corporate Law Firm

CTO

Technology at SaaS Startup (Series A)

Frequently Asked Questions

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