I will build an ai agent or multi agent workflow with langgraph


About this gig
I will design and develop a custom AI agent or multi-agent workflow using LangGraph and Python.
This service is suitable for applications that need to complete structured, multi-step tasks rather than generate a single response.
Possible use cases include:
- Research and information processing
- Document analysis
- Lead enrichment and scoring
- Content workflows
- Planning and decision-support systems
- Tool-using assistants
- Routing and classification workflows
Depending on the package, your solution may include agent state, conditional routing, structured outputs, external tools, API integrations, checkpointing, error handling, FastAPI endpoints, Docker configuration and technical documentation.
I can work with LangGraph, LangChain, Pydantic, FastAPI, PostgreSQL, SQLite, Qdrant, Ollama and compatible LLM APIs.
The Gig does not include unlimited third-party integrations, paid API usage or a production-scale frontend.
Because agent projects vary significantly, please contact me before ordering with your use case, expected inputs, outputs and required integrations.
Get to know Hilal A.
AI Engineer for RAG AI Agents and MLOps
- FromTurkey
- Member sinceNov 2024
- Avg. response time1 hour
Languages
English, Turkish
FAQ
What is the difference between a single agent and a multi-agent system?
A single agent handles one focused workflow. A multi-agent system separates responsibilities between specialized agents and coordinates their outputs.
Can the agent call external APIs?
Yes. API integrations can be added if documentation and test credentials are available. The number of integrations depends on the package.
Can you automate sending emails or messages?
This is possible only when the client provides authorized API access and the integration is explicitly included in the agreed scope.
Do you provide a user interface?
Premium includes a basic interface. Standard may include one if it replaces another part of the package scope. A custom production frontend requires a separate offer.
Can you deploy the agent?
I can provide Docker configuration and deployment-ready code. Managed cloud deployment should be scoped separately.
Does the agent operate completely autonomously?
The autonomy level depends on the use case and risk. Important actions can require human approval before execution.
Are API and hosting charges included?
No. Third-party API, hosting and model usage costs are paid by the client.

