Integration of AI agent (stage 2) into existing software + web interface
67 USD Brief about the project:
Stage 1 implemented: there is an AI agent (OpenAI) and a Telegram bot for communication.
It is necessary to integrate this logic into working software and a web interface to ensure stable operation, management, and control.
Goal of the stage:
To create a unified system where:
the AI agent operates through the API
there is a web interface for management
the system reliably processes messages and tasks
there are no failures/delays during operation
What needs to be done
1. Integration of the AI agent
Connect the existing AI logic (OpenAI API) to the backend
Ensure centralized AI calls (not through Telegram, but through the server)
Maintain support for long system prompts (~12k characters)
Implement dialogue context transfer
2. Backend (server part)
Create backend (Node.js/Python – to be discussed)
Implement API:
sending messages
receiving responses
session management
Error handling (timeouts, API crashes)
Logging requests and responses
3. Web interface (minimal admin panel)
Authorization (simple, without complications)
List of active dialogues
View correspondence
Ability to manually send a message
Display system status
4. Working with messages
Message processing queue (important)
Exclusion of duplication
Control of sending speed
Correct processing of incoming/outgoing messages
5. Management and stability
Restart processes on errors
Handling crashes
Load limiting (rate limit)
Logic "does not hang – does not lose messages"
What is already available
AI logic (stage 1)
Telegram bot (for testing)
System prompt (~12k characters)
Result of the stage
Working backend
Web interface (admin panel)
Stable operation of the system
Ability to manage dialogues and view them
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3 days65 USD
3 days65 USD
Hello. I have experience building similar systems using Python FastAPI. I will use Redis for queue processing. I will optimize the system prompt to ensure everything works smoothly. I will create a concise and functional interface for monitoring sessions and manual intervention in dialogues. I will set up automatic process restarts and detailed logging of requests/responses for debugging. I am ready to discuss the architecture details and the Python/Node.js stack and start working.
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10 days67 USD
10 days67 USD
Hello, Andrey!
I can assemble your current AI logic into a stable system: backend + admin panel + message processing control. I have experience working with OpenAI API and similar architectures.
What I will do:
Backend (Node.js): API, sessions, logging, error handling
Centralized AI call (with support for long prompts and context)
Message queue (without duplicates and losses)
… Admin panel: dialogues, correspondence, manual responses, status
Stability: retry, rate limit, auto-restart
The focus is to ensure the system does not hang and does not lose messages.
A couple of questions:
What is the bot currently built on (Node / Python)?
Where do you plan to host it?
Is scalability needed under load?
I am ready to propose an architecture and quickly assemble an MVP.
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5 days145 USD
2986 37 0 1 5 days145 USD
Hello. I have experience with integrating ChatGpt, as well as experience with Telegram bots. Feel free to contact me to discuss the details.
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1 day67 USD
1822 10 0 1 day67 USD
Good day, I have experience working with Python as well as Telegram bots, I can complete everything quickly and efficiently, write to me and we will discuss the details.
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3 days67 USD
3152 15 0 3 days67 USD
Good day. For the server part, I suggest choosing Node.js and TypeScript in conjunction with Redis; this is an excellent option for creating a reliable message queue, controlling request limits, and excluding duplicates when working with OpenAI. The admin panel for managing dialogues and viewing statuses will be quickly assembled using React or Next.js, and we will create a clean and understandable interface. I will transfer all the ready logic with your system prompt to the backend, set up stable context transmission, logging, and automatic restart in case of failures. We will discuss the price and deadlines in private messages after a brief review of the current bot code.
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1 day67 USD
1522 14 0 1 day67 USD
Hello! I can implement it. Write to me privately to discuss all the details. I will be glad to cooperate!
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3 days67 USD
650 2 0 3 days67 USD
Good day! The key challenge is a single session store between the Telegram bot and the web without losing context: FastAPI + Redis, both channels access the same backend. Streaming responses via SSE — the user sees the text instantly, without waiting 15 seconds for a full response. System prompt 12k — the task has already been solved.
Agent on Assistants API or Chat Completions with manual context?
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3 days67 USD
266 3 days67 USD
Good day!
I have reviewed the project — the task is clear, there is already ready AI logic and a Telegram bot, so the main focus will be on integrating everything into a stable server system with web control.
🔧 How I see the implementation
1. Backend (core of the system):
implementation of the server on Node.js or Python
… centralized API for working with the AI agent (OpenAI)
management of dialogue sessions
support for long system prompts (~12k characters)
logging of all requests/responses
2. AI Integration:
moving logic from Telegram to the backend
transmitting dialogue context between requests
stable operation through OpenAI API without losing context
3. Message processing queue:
queue system (to avoid duplicates and overload)
control of request speed (rate limit)
guarantee of message delivery without loss
4. Web interface (admin panel):
authorization (simple access)
list of active dialogues
viewing conversations
manual sending of messages
real-time system status
5. Stability:
auto-restart on errors
handling API crashes
protection against hangs
load monitoring
📊 Work result
a single backend for AI logic
stable message processing system
web admin panel for control
absence of message loss and failures
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3 days67 USD
1362 3 0 3 days67 USD
You already have an AI agent and a Telegram bot, you need a backend and an admin panel. I have done a similar setup: FastAPI, OpenAI, queue via Redis. 12k characters of prompt is not a problem, the context of the dialogue is also. But the budget of 3000 UAH and the description are two different projects. There is work for at least a couple of days here: API, sessions, web interface with authorization, message queue, monitoring. Let's clarify: which stack is a priority, Python or Node? Or maybe, at this stage, only the backend is needed without the admin panel?
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30 days445 USD
30 days445 USD
I will design a sustainable backend on Node.js with a message broker (RabbitMQ/Redis/Bull) for asynchronous processing of API requests without message loss and will set up a lightweight admin panel for session control.
You mention that the system prompt takes about ~12k characters. What specific technical method do you plan to use to manage the context window so that when adding the history of a long dialogue we do not hit the strict token limits of OpenAI (Token Limit Error) and do not burn the budget: do you plan to use a vector database for RAG, or will we write a dynamic trimming algorithm (Sliding Window / Summarization) for old messages?
I am ready to discuss the architecture for handling timeouts (rate limits) of the OpenAI API and the exact cost of transferring the logic from your Telegram bot to a full-fledged server in personal correspondence. 🤝
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14 days557 USD
14 days557 USD
Good day, I am a Middle Python Developer with over 3 years of commercial experience. After reviewing the technical specifications, I can propose an estimated cost of $600, and the timeline is approximately 2 weeks. However, for a more detailed formation, it is necessary to familiarize myself with the existing developments. I will develop the correct architecture of the project, with the possibility of easy further scaling.
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10 days601 USD
10 days601 USD
I understood the task: integration of an AI agent into existing software with the creation of a web interface is required. The complexity of the project lies in creating a stable system that will process messages and tasks without failures. I propose connecting existing AI logic via API, developing a backend to manage the interface, as well as creating a minimal admin panel for monitoring active dialogues.
As part of the work, we will develop the backend in Node.js or Python (depending on your preferences), ensure message processing with consideration of long-term context, and add logging and error handling mechanisms to enhance system stability. The web interface will include authorization functionality, display system status, and the ability to manually send messages.
Some risks: it is necessary to think through the architecture to eliminate message duplication and control the speed of sending them. It is also worth clarifying which specific functions of the admin panel are critical for you. Implementing such a project will require 10 days, as testing and configuration need to be taken into account.
27000 is the technical limit of the platform; the actual cost will be 58000 UAH. Let's discuss the details and determine the steps to start the work.
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7 days67 USD
7 days67 USD
Hello, I have been working on the integration of AI agents into corporate systems for business process automation - I created a web platform with OpenAI API to handle 500+ requests per day.
What role will the AI agent perform in your software - will it be customer support or internal process automation?
I suggest we get in touch, I will provide you with a free consultation on the technical side and we will create a development plan + I will tell you about my team!
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7 days223 USD
764 5 1 7 days223 USD
Andrey, hello. The task is clear — I have seen similar integrations. I propose the stack: Python FastAPI (backend) + Redis + Celery (queue) + React (admin panel). OpenAI call is centralized through a service, not through Telegram. 12k prompt — no problem, it is passed through the system role with each request + context through saved sessions.
Regarding components:
— API: /send, /history, /sessions — standard
— Queue: BullMQ or Celery — excluding duplicates, rate limit, retry on API failure
— Admin panel: list of dialogues, view correspondence, manual sending, system status
— Logging: requests/responses + errors in a separate log
One question: what database is currently used? (PostgreSQL, MongoDB, or nothing — starting from scratch?)
…
Write to me — we will discuss the details.
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14 days267 USD
464 14 days267 USD
Hello, Andrey.
The backend with an AI agent, message queue, and web admin panel is the same task that I have running on cyanship.com. OpenAI streaming, long system prompt, dialogue context, rate limit, duplicate protection, recovery from crashes, logging is built on Nest.js + Redis + BullMQ.
The admin panel with authorization, list of active sessions, viewing correspondence, and manual sending is built on the same base. You can visit cyanship.com to test the login and AI chat; the architecture is the same.
With the existing Telegram bot, I connect via webhook, and the queue is not lost during restarts.
Clarifications: Is the bot currently on Python or Node? Where do you plan to host it?
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7 days223 USD
410 7 days223 USD
The task is clear - to move the AI logic from Telegram to a full-fledged backend with a web interface and stable message processing. I have implemented similar systems - Node.js + OpenAI API, message queue, admin panel for managing dialogues. I am ready to discuss the details - write to me, we will call and go through stage 1 to understand what is already there and how to best integrate.
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3 days65 USD
981 6 3 3 days65 USD
Good day, sir!
I am ready to complete your task!
Write in private messages, we will discuss your project and agree on the price.
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1 day178 USD
172 1 1 1 day178 USD
Good day. I am ready to complete this project; I have extensive experience in developing various applications.
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7 days223 USD
2930 8 0 1 7 days223 USD
Greetings. I will transfer the logic of your AI agent to a fault-tolerant Python backend (FastAPI + Celery/Redis) to protect against OpenAI API timeouts and prevent message loss in queues. I will implement proper context transfer (12k+ characters), session management, and I will write a web admin panel (React) for monitoring and manual interception of dialogues. I have relevant experience in creating architecture for AI agents and complex web terminals with strict load control. What database do you prefer for storing chat history and session states?
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12 days200 USD
937 5 0 1 12 days200 USD
Hello! I am Vladimir, the founder of the engineering agency Vaysed. Transitioning from a test MVP in Telegram to a full-fledged server architecture with an admin panel is a logical step for scaling the product, and this is our direct engineering profile. We do not use unstable zero-code builders, but build fault-tolerant IT systems of enterprise level that can reliably handle sessions without crashes and message loss.
To implement a reliable backend, we propose using Node.js or Python in conjunction with the Redis message broker. Implementing queues is critically important for controlling sending speed (rate limits) and completely eliminating message duplication during peak loads or timeouts from the OpenAI API. The logic for maintaining a long dialogue context and your system prompt of 12k characters will be implemented through a transactional PostgreSQL database. This will allow for the safe storage of the entire chat history, managing sessions, and passing only the necessary fragments to the language model, optimizing token consumption. We will tie all processing logic to the finite state machine pattern so that the system clearly records the status of each message and never hangs while waiting for a response.
To manage the agent, we will develop a responsive web interface on React. There you will be able to go through simple authorization, monitor lists of active dialogues in real time, view chat history, and if necessary, manually take control by sending messages to clients directly from the admin panel. The stability of the server itself will be ensured by Docker containerization with automatic process restarts in case of any failures, which guarantees the system operates in 24/7 mode.
You can evaluate our engineering approach and implemented cases on the agency's website: https://vaysed.me/. Message me privately so we can discuss the current logic of your AI agent and promptly start building a full-fledged product!
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7 days178 USD
258 7 days178 USD
Good day! We have reviewed your project — the task is clear, and we have relevant experience in developing AI systems and Telegram integrations. We are ready to build a stable architecture and implement the AI logic into a full-fledged backend with management through a web interface.
What we propose to implement:
• Centralized backend (Node.js / Python) with an API for working with AI
• OpenAI integration with support for long system prompts (~12k)
• Storage and transmission of dialogue context
• Message queues (Redis / BullMQ) for stable processing
• Logging, error handling, retry mechanisms
• Rate limiting and overload protection
…
Web interface (admin panel):
• Authorization
• List of dialogues
• Viewing conversations
• Manual message sending
• System statuses
Additionally, we are planning:
• Auto-restart of processes (PM2 / Docker)
• Anti-duplication of messages
• Scalable architecture for increasing load
The result — a stable system without hangs, with dialogue control and convenient management.
We are ready to quickly engage, discuss the tech stack, and provide an accurate estimate of timelines and costs.
Our website: https://benefit-it.net/
Sincerely, Benefit Studio
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7 days223 USD
119 7 days223 USD
Hello. I have worked on similar tasks developing interfaces for chat systems with AI (dialogues, message processing, admin control).
Do I understand the task correctly: you need a web interface in the style of Telegram, where users communicate with an AI bot, and you have the ability to monitor dialogues and intervene if necessary?
I can offer the implementation:
— dialogue interface (like in Telegram Web)
— integration with AI (API)
— admin panel for monitoring and manual responses
— logging and storage of conversations
…
We can discuss the details and clarify the functionality before starting.
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3 days67 USD
4975 41 4 1 3 days67 USD
Good day!
I offer a complete cycle of development for your project, including the integration of the OpenAI AI agent via API into the existing software and web interface. I have experience working with Node.js/Python, APIs, message processing queues, ensuring the stability and scalability of the system. I will create a reliable backend, a minimalist admin panel for managing dialogues, and guarantee no failures.
I am ready to start the implementation.
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