Feima Copilot

More models for Copilot Chat, your own Claude/Codex/Copilot CLI subscriptions natively in VS Code, plus a local proxy to power any tool with Copilot or BYOK models

✨ Key Features

• 🌍 Global Access - Works worldwide, no regional restrictions
• 🤖 Multi-Model Support - Qwen, DeepSeek, GLM, MiniMax, Kimi, Hunyuan, 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
• 🧑‍💻 Agent Participants (NEW) - Drive the real Claude Code, Codex, and Copilot CLI agents natively in chat with @claude, @codex, @copilot-cli
• 🔌 Local LLM Proxy - Power any OpenAI- or Anthropic-compatible tool, even outside VS Code, with your Copilot or BYOK models

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

📦 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

Want to drive Claude Code, Codex, or Copilot CLI right inside VS Code chat instead of a terminal? See the 🤖 Agent Participants section below — that's a different, newer feature from the API keys described here.

🔑 API Key Support

Feima Copilot also provides API keys for use beyond the VS Code extension:

• Copilot CLI - Use Feima models in your terminal
• Claude Code - Native support via Anthropic-compatible API
• Other CLI Tools - Works with any OpenAI-compatible or Anthropic-compatible tool
• Custom Integrations - Build your own applications

We support both OpenAI-compatible and Anthropic-compatible API formats, giving you flexibility to use your favorite tools.

Get your API key:

1. Sign in to your Feima account
2. Visit Profile Settings
3. Create a new key in the API Key management page
4. Configure the key in your CLI tools

API keys use the same billing system - no separate subscription needed.

🤖 Agent Participants — NEW: Claude Code, Codex & Copilot CLI, right in chat

Feima Copilot isn't just another model provider — it also lets you drive the real Claude Code, Codex, and GitHub Copilot CLI agents from directly inside GitHub Copilot Chat.

Type @claude, @codex, or @copilot-cli and you get that CLI's own agent loop — its own planning, tool calls, and file-edit review — rendered with VS Code's native chat UI: streaming responses, inline diffs, no terminal window, no copy-pasting code back and forth.

Which one is for you?

What it looks like

You: @claude Refactor parseInvoice() to handle malformed dates and add tests

Claude: I'll take a look at the function first...
  ⚙ Reading src/billing/parseInvoice.ts
  ⚙ Reading test/billing/parseInvoice.test.ts
  ✎ Editing src/billing/parseInvoice.ts
  ✎ Creating test/billing/parseInvoice.test.ts
  Done — added guard clauses for 3 malformed date formats and 5 new test cases.

No terminal, no cd, no copy-paste — the edits land in your open editor exactly like a native Copilot Chat edit would.

Good to know

• Three permission tiers per turn — /ask (review everything), /acceptEdits (auto-approve file edits, still ask before commands), /fullAuto (hands-off) — or set a persistent default per participant.
• Bring your own model — point any participant at a Feima model through a local, loopback-only Agent Proxy; no separate Anthropic/OpenAI API key required.
• Take it outside VS Code, too — the same local proxy can drive the standalone claude/codex CLI (or any other OpenAI-/Anthropic-compatible tool) from a plain terminal, not just these chat participants. See the LLM Proxy guide.
• MCP servers — wire your own MCP tools into @claude and @codex via settings.
• Your CLI, your login — native mode uses the CLI's own subscription and login exactly as it would from a terminal; the extension never touches your Anthropic/OpenAI credentials.

📖 Full guide: Agent Participants · Setup & Troubleshooting · Agent Proxy

💰 Pricing

Flexible pay-as-you-go pricing with predictable billing:

• Free Tier - 700 weighted requests in your first month (500 starter + 50×4 weekly)
• Pay Per Request - Simple request-based pricing, not complex token metering
• Prepaid Packs - $10 one-time for 500 requests (never expires)
• Transparent - "You have 300 requests left" vs complex token calculations

🆚 Why Feima vs GitHub Copilot Billing?

Key Insight: Feima's free tier gives 2-12x more requests than Copilot Pro ($10/month)!

📄 Full Comparison: Why Feima is the Best GitHub Copilot Alternative

View detailed rates at feimacode.com/pricing

📸 Screenshots

Authentication

Model Selection

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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