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fix: rebranding, see [docs/name-change.md](docs/name-change.md) for details

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Fahad
2025-12-04 18:11:55 +04:00
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docs/configuration.md
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# Configuration Guide
This guide covers all configuration options for the Zen MCP Server. The server is configured through environment variables defined in your `.env` file.
This guide covers all configuration options for the PAL MCP Server. The server is configured through environment variables defined in your `.env` file.
## Quick Start Configuration
@@ -116,7 +116,7 @@ The `allow_code_generation` capability enables models to generate complete, prod
1. Only enable for models significantly more capable than your primary CLI to ensure high-quality generated code
2. The capability triggers structured code output (`<GENERATED-CODE>` blocks) for substantial implementation requests
3. Minor code changes still use inline code blocks regardless of this setting
4. Generated code is saved to `zen_generated.code` in the user's working directory
4. Generated code is saved to `pal_generated.code` in the user's working directory
5. Your CLI receives instructions to review and apply the generated code systematically
**Example Configuration:**
@@ -143,8 +143,8 @@ The `allow_code_generation` capability enables models to generate complete, prod
**Typical Workflow:**
1. You ask your AI agent to implement a complex new feature using `chat` with a higher-reasoning model such as **gpt-5-pro**
2. GPT-5-Pro generates structured implementation and shares the complete implementation with Zen
3. Zen saves the code to `zen_generated.code` and asks AI agent to implement the plan
2. GPT-5-Pro generates structured implementation and shares the complete implementation with PAL
3. PAL saves the code to `pal_generated.code` and asks AI agent to implement the plan
4. AI agent continues from the previous context, reads the file, applies the implementation
### Thinking Mode Configuration