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feat: GPT-5.2 support

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Fahad
2025-12-11 19:11:50 +00:00
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docs/tools/chat.md
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- **Collaborative thinking partner** for your analysis and planning
- **Get second opinions** on your designs and approaches
- **Brainstorm solutions** and explore alternatives together
- **Structured code generation**: When using GPT-5.1 or Gemini 3.0 / 2.5 Pro, get complete, production-ready implementations saved to `pal_generated.code` for your CLI to review and apply
- **Structured code generation**: When using GPT-5.2 or Gemini 3.0 / 2.5 Pro, get complete, production-ready implementations saved to `pal_generated.code` for your CLI to review and apply
- **Validate your checklists** and implementation plans
- **General development questions** and explanations
- **Technology comparisons** and best practices
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## Tool Parameters
- `prompt`: Your question or discussion topic (required)
- `model`: auto|pro|flash|flash-2.0|flashlite|o3|o3-mini|o4-mini|gpt4.1|gpt5.1|gpt5.1-codex|gpt5.1-codex-mini|gpt5|gpt5-mini|gpt5-nano (default: server default)
- `model`: auto|pro|flash|flash-2.0|flashlite|o3|o3-mini|o4-mini|gpt4.1|gpt5.2|gpt5.1-codex|gpt5.1-codex-mini|gpt5|gpt5-mini|gpt5-nano (default: server default)
- `absolute_file_paths`: Optional absolute file or directory paths for additional context
- `images`: Optional images for visual context (absolute paths)
- `working_directory_absolute_path`: **Required** - Absolute path to an existing directory where generated code artifacts will be saved
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## Structured Code Generation
When using advanced reasoning models like **GPT-5 Pro** or **Gemini 3.0 Pro**, the chat tool can generate complete, production-ready code implementations in a structured format.
When using advanced reasoning models like **GPT-5.2 Pro** or **Gemini 3.0 Pro**, the chat tool can generate complete, production-ready code implementations in a structured format.
### How It Works
1. You ask your AI agent to implement a complex new feature using `chat` with a higher-reasoning model such as **GPT-5 Pro** or **Gemini 3.0 Pro**
1. You ask your AI agent to implement a complex new feature using `chat` with a higher-reasoning model such as **GPT-5.2 Pro** or **Gemini 3.0 Pro**
2. The model 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
@@ -85,7 +85,7 @@ For minor changes (small tweaks, bug fixes, algorithm improvements), the model r
### Example Usage
```
chat with gpt-5-pro and ask it to make me a standalone, classic version of the
chat with gpt-5.2-pro and ask it to make me a standalone, classic version of the
Pacman game using pygame that I can run from the commandline. Give me a single
script to execute in the end with any / all dependencies setup for me.
Do everything using pygame, we have no external resources / images / audio at