Block 1 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Manage Jira Issues with Natural Language via Telegram and GPT 4o Overview The Jira Agent is an AI powered assistant that allows users to interact with Jira directly through messaging platform Teleg...
@n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.set, n8n-nodes-base.jiratool, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.stickynote, n8n-nodes-base.telegramtrigger, n8n-nodes-base.function, n8n-nodes-base.telegram
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Humble Turtle.
Original n8n.io sourceThe Jira Agent is an AI-powered assistant that allows users to interact with Jira directly through messaging platform Telegram. It leverages OpenAI's GPT-4o model to interpret natural language commands and perform various Jira-related actions. On Telegram, it enables users to create Jira stories by triggering a guided form when prompted with "create story." Additionally, it provides more extensive functionality, including creating, updating, searching, and transitioning Jira issues through natural language commands.
Normal interaction Using messages as "Please give all my issues".
Standardized process of creating stories:
To use the Jira Agent effectively, users need access to:
Detailed configuration instructions are provided in the workflow
<15 minutes
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Manage Jira issues with natural language via Telegram and GPT-4o |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Project Management, AI Chatbot |
| Author | Humble Turtle |
| Published | 07 Jul 2025 |
Use the JSON export at /data/workflows/5742/5742.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Manage Jira Issues with Natural Language via Telegram and GPT 4o Overview The Jira Agent is an AI powered assistant that allows users to interact with Jira directly through messaging platform Teleg...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Project Management, AI Chatbot use case.