deanxv/coze-discord-proxy

代理Discord对话Coze-Bot,实现以API形式请求GPT4模型,提供对话、文生图、图生文、知识库检索等功能。

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 45 minutes ago
Added to GitGenius on September 18th, 2026
Created on January 26th, 2024
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 950
Total Stargazers: 3,783 (+0)
Total Subscribers: 23 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.2 hours
Mean response time: 2.5 hours
90th percentile: 6.3 hours
Tracked items: 3

Most active contributors

Sign in to see contributor activity.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (2)
  • enhancement (1)
  • no respect (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Coze-Discord-Proxy is a proxy service that exposes Coze Bot conversations through an API interface compatible with OpenAI's format.

The tool solves the problem of accessing Coze Bot's capabilities programmatically by intercepting Discord conversations and translating them into standard API requests. It works by proxying Discord messages to Coze Bot and returning responses in OpenAI-compatible formats, allowing developers to use Coze's models and features through familiar API endpoints.

The project suits developers who want to integrate Coze Bot's conversational, image generation, and knowledge retrieval capabilities into applications designed for OpenAI APIs. It works well with chat interfaces like NextChat, one-api, and LobeChat. The tool supports conversation isolation, streaming responses, and load balancing across multiple Discord users and Coze bots to work around rate limits. It provides endpoints for chat completions, image generation via DALL-E-3, and image-to-text operations, all aligned with OpenAI's interface specifications.

Development activity shows the project has reached a stable state with infrequent iterations and a focus on bug fixes rather than new features. The maintainers actively maintain a community through Telegram channels for discussion and announcements, and they provide documentation and examples to support adoption.