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Panda AI Debugger

Panda AI Debugger

Panda Liu

|
5 installs
| (1) | Free
AI-powered debugger for VS Code with support for Ollama, LM Studio, OpenAI, DeepSeek, Claude, Gemini, OpenRouter, SiliconFlow, and Azure OpenAI.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

Panda AI Debugger

AI-powered VS Code debugger for explaining errors, previewing fixes, and applying repairs with local or cloud LLM providers.

Supported Providers

  • ollama
  • lmstudio
  • openai
  • deepseek
  • claude
  • gemini
  • openrouter
  • siliconflow
  • azure-openai

Features

  • aiDebugger.explainError: Analyze the current file and explain diagnostics.
  • aiDebugger.explainCode: Right-click Explain This Code to explain a function, class, call flow, or generate Chinese comments.
  • aiDebugger.previewFix: Generate a full-file fix and open a diff preview.
  • aiDebugger.applyFix: Apply the AI-generated repair directly to the file.
  • aiDebugger.setConfige: Open the extension settings page.

Default Behavior

  • Default provider: ollama
  • Default local model: qwen2.5-coder:7b
  • Existing Ollama users do not need to change anything.

Common Settings

  • aiDebugger.baseUrl
  • aiDebugger.model
  • aiDebugger.apiKey
  • aiDebugger.temperature
  • aiDebugger.maxTokens

The settings page now keeps only these five items. The provider is inferred from aiDebugger.baseUrl by default, and advanced overrides can still be supplied through environment variables or manual settings.json entries when needed.

Provider Notes

  • ollama: usually http://localhost:11434
  • lmstudio: usually http://localhost:1234
  • openai: default base URL https://api.openai.com
  • deepseek: default base URL https://api.deepseek.com
  • claude: default base URL https://api.anthropic.com
  • gemini: default base URL https://generativelanguage.googleapis.com
  • openrouter: default base URL https://openrouter.ai/api
  • siliconflow: default base URL https://api.siliconflow.com
  • azure-openai: fill in your Azure resource endpoint, plus apiKey, and usually deployment

Environment Variable Overrides

  • AI_DEBUGGER_PROVIDER
  • AI_DEBUGGER_BASE_URL
  • AI_DEBUGGER_MODEL
  • AI_DEBUGGER_API_KEY
  • AI_DEBUGGER_PROVIDER
  • AI_DEBUGGER_API_VERSION
  • AI_DEBUGGER_DEPLOYMENT
  • AI_DEBUGGER_ANTHROPIC_VERSION
  • AI_DEBUGGER_OPENROUTER_REFERER
  • AI_DEBUGGER_OPENROUTER_TITLE
  • AI_DEBUGGER_TEMPERATURE
  • AI_DEBUGGER_MAX_TOKENS

Provider-native API key environment variables are also supported where applicable, such as OPENAI_API_KEY, DEEPSEEK_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, OPENROUTER_API_KEY, SILICONFLOW_API_KEY, and AZURE_OPENAI_API_KEY.

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