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  1. 🧩 Integration Guides
  • 🚀 Overview
    • Quick Start
    • Important Guidelines
    • Release Notes
    • Quickly request CometAPI via ApiDog
    • Models
  • 💬 Text Models
    • Chat
    • Responses
    • Anthropic Messages
    • Gemini Generating Content
    • Embeddings
    • Recognizing Images
  • 🖼️ Image Models
    • Midjourney
      • Midjourney Quick Start: Complete Image Generation Workflow in One Go
      • Task Fetching API
        • List by Condition
        • Fetch Single Task (most recommended)
      • Submit Editor
      • Submit Video
      • Imagine
      • Action (UPSCALE; VARIATION; REROLL; ZOOM, etc.)
      • Blend (image -> image)
      • Describe (image -> text)
      • Modal (Area Redesign & Zoom)
    • Replicate(image)
      • Create Predictions - General
      • replicate query
      • Create Task -flux-kontext-pro、max
      • Create Task -flux-1.1-pro
      • Create Task -flux-1.1-pro-ultra
    • seededit/seedream
      • bytedance-image-generation(seedream)
      • bytedance-Image Editing (seededit)
    • OpenAI
      • Images
      • gpt-4o-image generates image
      • Image Editing (gpt-image-1)
    • Gemini
      • Guide to calling gemini-2.5-flash-image (Nano Banana)
      • Gemini generates image
    • Hunyuan3D
  • 🎵 Music Models
    • Suno
      • Setting suno Version
      • Suno API Scenario Application Guide
      • Generate lyrics
      • Generate music clip
      • Upload clip
      • Submit concatenation
      • Full Track Audio Separation
      • Single Track Audio Separation
      • Create New Persona
      • add style tags
      • Single task query
      • Generate mp4 mv video
      • Timing: lyrics, audio timeline
      • Get wav format file
      • Get midi
      • Batch query tasks
  • 📺 Video Models
    • veo3
      • veo3-chat format
      • Submit video generation task
      • Query video generation status
    • sora-2
      • official
        • Create video
        • Remix video
        • Retrieve video
        • Delete video
        • Retrieve video content
      • sora-2 generate video by chat
    • runway(video)
      • official format
        • runway images raw video
        • Generate a video from a video
        • Generate an image from text
        • Upscale a video
        • Control a character
        • runway to get task details
      • Reverse Format
        • generate(text)
        • generate(Reference images)
        • Video to Video Style Redraw
        • Act-one Expression Migration
        • feed-get task
    • kling (video)
      • callback_url
      • Multimodal Video Editing
        • Initialize Video for Editing
        • Add Video Selection
        • Delete Video Selection
        • Clear Video Selection
        • Preview Selected Video Area
        • Create Task
      • Generating images
      • Expanded
      • Text Generation Video
      • Image Generation Video
      • Multi-Image To Video
      • Multi-Image to Image
      • Video Extension
      • virtual try-on
      • lip sync
      • effects
      • Video to audio
      • Text to audio
      • Kling Image Recognize
      • [Counterpart] Face Recognition
      • [Counterpart] Creating Tasks
      • [Digital Man] TTS
      • [Digital Man] Creating Tasks
      • Individual queries
    • bytedance
      • bytedance-video
      • bytedance-video get
    • MiniMax Conch(video)
      • MiniMax Conch Official Documentation
      • MiniMax Conch Generation
      • MiniMax Conch Query
      • MiniMax Conch Download
  • 🔊 Audio Models
    • Create speech
    • Create transcription
    • Create translation
    • Realtime
  • 🧩 Integration Guides
    • LiteLLM
    • Dify
    • Make
    • n8n
    • Lobe-Chat
    • COZE
    • Zapier
    • Activepieces
    • LlamaIndex
    • Continue
    • FlowiseAI
    • Chatbox
    • CherryStudio
    • Cursor
    • AnythingLLM
    • LangChain
    • BuildShip
    • gptme
    • Immersive Translation
    • Cline
    • Eudic Translation
    • ChatHub
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    • ChatAll Translation
    • Pot Translation
    • Zotero
    • NEXT CHAT (ChatGPT Next Web)
    • Obsidian's Text Generator Plugin
    • librechat
    • utools-ChatGPT Friend
    • avante.nvim
    • Open WebUI
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    • OpenManus
    • IntelliJ Translation Plugin
    • FastGPT
    • n8n Local Deployment
  • ⚠️ Errors
    • Error Codes & Handling
  • 📝 Code Examples
    • Text-to-Image Generation
    • Image-to-image generation URL upload
    • Regular Post Text Conversation
    • OpenAI Official Library Usage Example
    • Streamed Output
    • Json Fixed Format Output Code Display
    • Embedding code example
    • o1-preview Model Code Example
    • LangChain Usage Example (Successful Test Date: 2024-11-25)
    • Openai dall-e-3 & flux series drawing model
    • gpt, claude, gemini multimodal network image parsing example
    • Multimodal PDF File Parsing Examples for GPT, Claude, and Gemini
    • Code example
  • 🏄🏼‍♀️ Best Practices
    • Midjourney Best Practices
    • Retry Logic Documentation for CometAPI and OpenAI Official API
    • Runway Best Practices
    • Claude Code Installation and Usage Guide
    • Gemini CLI Installation and Usage Guide
    • Codex Usage Guide
    • CometAPI Account Balance Query API Usage Instructions
  • 💳 Pricing & Billing
    • About Pricing
  • 🤝🏼 Support
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    • Common Misconceptions
    • Confusion about use
  1. 🧩 Integration Guides

FlowiseAI

Preparation
Log in to FlowiseAI, address: https://cloud.flowiseai.com/chatflows
Log in to CometAPI. Click "ADD API key" in the API keys to get your token key: sk-xxxxx
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Step 1: Add CometAPI Node and Configure Credentials#

1.
In the FlowiseAI canvas, click Add new.
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2.
In the search box, type and search for "cometapi" to find the CometAPI box (i.e., the ChatCometAPI node).
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3.
Drag the CometAPI box onto the workspace canvas.
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4.
In the Connect Credential dropdown menu of the CometAPI node, select Create New.
5.
Enter the API Key (sk-xxxxx) you obtained from CometAPI.
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Optional Configuration: Set the Model Name (e.g., gpt-4o-mini), Temperature (e.g., 0.7, to control response randomness), and Additional Parameters (add other parameters as needed).

Step 2: Add Prompt Node and Set Up LLM Chain#

1.
In the + (Add Nodes) menu, search for "Prompt", then find and select the Prompt Template node.
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2.
Drag the Prompt Template node onto the workspace canvas.
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3.
In the Prompt Template node, set up the prompt template, for example:
Question: {question}
Answer: Let's think step by step.
This will create a basic prompt structure to guide the model's response.
4.
Next, set up the chain model:
In the + (Add Nodes) menu, search for "Chain", then find and select the LLM Chain node.
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Drag the LLM Chain node onto the workspace canvas.
Configure the LLM Chain:
Language Model: Select or connect to the CometAPI node from Step 1.
Prompt: This will be connected to the Prompt Template node later.
Output Parser: Optional, used to parse the output format.
Chain Name: Enter a name for your chain, for example, "Universal Chat Assistant".
Input Moderation: Optional, enable input checks for safety.
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Step 3: Connect Nodes and Complete the Flow#

1.
Connect the created template nodes:
Connect the CometAPI node to the Language Model input of the LLM Chain.
Connect the Prompt Template node to the Prompt input of the LLM Chain.
Ensure the nodes form a complete chain flow: Input → Prompt Template → LLM Chain → Output.
2.
With these connections, the universal chat assistant is now set up. The canvas will display a simple chain structure that supports basic queries and response generation.
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Troubleshooting#

Cannot find the "cometapi" node: Ensure your FlowiseAI version supports this integration. Check for FlowiseAI updates or relevant plugins.
Credential configuration failed: Verify that the API Key is correct (copied from the CometAPI console) and has not expired.
Node connection error: Make sure the connection lines are correctly pointed to the Language Model and Prompt inputs. If the response is not ideal, adjust the Prompt Template or Temperature parameter.

Summary#

With this guide, you can quickly integrate CometAPI into FlowiseAI to build an efficient universal chat assistant. This process, based on drag-and-drop nodes and chain orchestration, is suitable for scenarios like customer service bots and Q&A systems. For extensions (such as adding document loaders or multi-turn conversation support), please refer to the official FlowiseAI documentation.
If you have any questions, feel free to consult the CometAPI documentation or the FlowiseAI community.
Modified at 2025-10-20 07:39:22
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