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Feima Copilot Models

Feima Copilot Models

Feima Code

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3 installs
| (0) | Free
Access Claude, Gemini, Qwen and more models in VS Code Copilot Chat
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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Feima Copilot

Access Qwen, DeepSeek, GLM, and more — one extension, multiple LLMs

License

✨ Key Features

  • 🌍 Global Access - Works worldwide, no regional restrictions
  • 🤖 Multi-Model Support - Qwen, DeepSeek, GLM, MiniMax, Kimi, and more
  • 🔐 Secure Login - GitHub OAuth for quick authentication
  • 💰 Pay-As-You-Go - No subscription required, pay only for what you use
  • 🚀 Fast & Reliable - Optimized for low latency responses

Prerequisites

Before you begin, make sure you have:

  • ✅ VS Code >= 1.85.0
  • ✅ GitHub Copilot Chat extension installed (required)
  • ✅ Feima Account (sign up at feimacode.com)

🎯 Supported Models

Model Provider Best For
Qwen3 Flash Alibaba Cloud Fast responses, free tier
Qwen3 Max Alibaba Cloud Complex reasoning with thinking mode
Qwen3 Coder Plus Alibaba Cloud Advanced code generation, 1M context
Qwen3.5 Plus Alibaba Cloud Vision-capable, 80K thinking chain
DeepSeek V3.2 DeepSeek Deep thinking for complex problems
GLM-5 Zhipu AI Advanced reasoning
GLM-4.7 Zhipu AI Long-form content and documentation
MiniMax M2.5 MiniMax Balanced performance
Kimi K2.5 Moonshot 256K context with vision support

📦 Installation

Step 1: Install Feima Copilot

  1. Open VS Code
  2. Press Ctrl+Shift+X (or Cmd+Shift+X on Mac) to open Extensions
  3. Search for "Feima Copilot"
  4. Click "Install"

Step 2: Verify GitHub Copilot Chat

Make sure you have the GitHub Copilot Chat extension installed. Feima Copilot requires it to function.

  1. Open Extensions view
  2. Search for "GitHub Copilot Chat"
  3. If not installed, click "Install"

🚀 Quick Start

Step 3: Sign In to Feima

  1. Press Ctrl+Shift+P (or Cmd+Shift+P on Mac) to open the Command Palette
  2. Type "Feima: Sign In"
  3. Select the command
  4. A browser window will open
  5. Sign in with your Feima account (GitHub OAuth)
  6. Grant the requested permissions
  7. You'll be redirected back to VS Code

Success message: "✅ Signed in as: [your-email]"

Step 4: Select a Feima Model

  1. Open the Copilot Chat panel (click the chat icon in the sidebar or press Ctrl+Alt+I)
  2. Click the model selector at the top of the panel
  3. Choose a Feima model from the list

Step 5: Start Chatting

  1. Type your question or coding request in the chat input
  2. The AI will respond using the selected model
  3. You can switch models anytime during your session

💰 Pricing

Flexible pay-as-you-go pricing:

  • Free Tier - New users get free credits to start
  • Pay Per Use - Only pay for the tokens you actually use
  • Transparent Pricing - View detailed rates at feimacode.com/pricing

📸 Screenshots

Authentication

Authentication

Model Selection

Model Selection

Chat Interface

Chat Interface

🔧 Troubleshooting

Browser doesn't open

  • Check VS Code has permission to open your default browser
  • Ensure your default browser is properly configured

"No pending callback" error

  • The callback expires after 5 minutes - try signing in again quickly
  • Check your browser security settings aren't blocking redirects

Can't find Feima models in selector

  • Make sure you're signed in: Press Ctrl+Shift+P → "Feima: Show Account"
  • Check the Output panel (View → Output) for any error messages

Token exchange failed

  • Verify feima-idp is accessible
  • Check your network connectivity

❓ Frequently Asked Questions

Location & Access

Q: What's the response latency? A: We use edge deployments for low latency worldwide. Most responses complete within 2-5 seconds.

Q: Where are your servers located? A: Our servers are deployed in Singapore, and most LLM providers we use also have infrastructure in the same region. This ensures your data stays within Southeast Asia and is not transferred to China, addressing common data residency concerns.

VS Code Compatibility

Q: Which VS Code versions are supported? A: VS Code 1.85.0 and above.

Q: Does it work with VS Code Insiders? A: Yes, fully compatible with VS Code Insiders builds.

Data Privacy & Security

Q: Is my code stored on your servers? A: No. Your code is only sent to the AI model for processing and is never stored. See our Privacy Policy.

Q: Are conversation histories saved? A: Conversations are stored locally on your device and never uploaded to our servers.

Q: Where is my data processed? A: All requests are routed through our Singapore servers, and most LLM providers we work with also operate in Singapore. Your code and data remain in Southeast Asia, ensuring no transfer to China.

📚 Documentation

  • Full Documentation: docs.feimacode.com
  • API Reference: docs.feimacode.com/api
  • Changelog: CHANGELOG.md

🤝 Feedback & Support

  • 🐛 Bug Reports: GitHub Issues
  • 💬 Feature Requests: GitHub Discussions
  • 📧 Email Support: support@feimacode.com

📄 License

This project is licensed under the MIT License.

Feima Copilot - Your AI coding assistant with access to the best LLMs

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