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I will build langgraph ai agents in python
Tanmay Tomar
Over deze dienst
Need an AI agent that does more than generate text?
I build custom AI agents and multi-step workflows using Python, LangGraph, and LLM APIs.
Whether you need an agent that calls external APIs, processes information, automates a defined workflow, or coordinates multiple agents, I'll help turn your requirements into a working, testable implementation.
WHAT I CAN BUILD:
Custom LangGraph agents and agentic workflows
Tool calling and external API integrations
Multi-step workflows with conditional routing
Structured outputs and input validation
Error handling and workflow testing
FastAPI endpoints and Docker packaging (package-dependent)
MY APPROACH:
I focus on clearly defined requirements, maintainable Python code, representative test scenarios, and documentation that makes your solution easier to run and understand.
WHAT YOU RECEIVE:
Working source code, setup instructions, and the deliverables specified in your selected package.
IMPORTANT:
Each package has defined limits on integrations, testing, and functionality. Database integration, authentication, custom frontends, cloud deployment, and additional features are not included unless explicitly agreed.
LLM API usage and third-
Maak kennis met Tanmay Tomar
Tanmay Tomar
AI Chatbot Developer RAG and Python
- Afkomstig uitIndia
- Lid sindsjul 2025
Talen
Hindi, Engels
I'm a Python-focused AI engineer building document chatbots, RAG pipelines, and practical LLM workflows.
I built Cronus, an AI SaaS with 20+ daily users, 10+ paying subscribers, and ₹4,000+ MRR. I also built PRISM, a four-agent code-review system tested on 19 real pull requests, and a fraud-detection model that reached the RBIH 2026 national final (Top 4 of 25,000+ teams).
I focus on clear project scope, testable results, maintainable code, and a clean handover.
Message me with your use case before ordering so we can establish the right scope, timeline, and deliverables.
Mijn portfolio
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What types of AI agents can you build?
I build custom Python-based AI agents using LangGraph for tasks such as research workflows, API-connected automation, information processing, and multi-step decision workflows. The exact implementation depends on your requirements and selected package. Please describe your use case before ordering i
What is included in the Basic package?
The Basic package includes one LangGraph agent, one agreed tool/API integration, structured outputs where appropriate, error handling, 8 representative test scenarios, commented source code, and a README with setup instructions. It is designed for a focused agent prototype, not a complete production
Can you build multi-agent systems?
Yes. The Premium package is designed for a scoped multi-agent LangGraph workflow with up to 3 agreed tool/API integrations, a FastAPI endpoint, Docker packaging, 25 representative test scenarios, and architecture documentation. Complex systems may require a custom offer after reviewing the requireme
Which AI models can you integrate?
I can work with supported LLM APIs such as Google Gemini and OpenAI, depending on the requirements and package scope. Standard packages include integration with one agreed model provider. API usage fees are separate, and alternative providers should be discussed before ordering.
