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doc: updated docs

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Fahad
2025-11-18 20:38:35 +04:00
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10
docs/advanced-usage.md
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@@ -33,7 +33,7 @@ Regardless of your default configuration, you can specify models per request:
| Model | Provider | Context | Strengths | Auto Mode Usage |
|-------|----------|---------|-----------|------------------|
| **`pro`** (Gemini 2.5 Pro) | Google | 1M tokens | Extended thinking (up to 32K tokens), deep analysis | Complex architecture, security reviews, deep debugging |
| **`pro`** (Gemini 3.0 Pro) | Google | 1M tokens | Extended thinking (up to 32K tokens), deep analysis | Complex architecture, security reviews, deep debugging |
| **`flash`** (Gemini 2.5 Flash) | Google | 1M tokens | Ultra-fast responses with thinking | Quick checks, formatting, simple analysis |
| **`flash-2.0`** (Gemini 2.0 Flash) | Google | 1M tokens | Latest fast model with audio/video support | Quick analysis with multimodal input |
| **`flashlite`** (Gemini 2.0 Flash Lite) | Google | 1M tokens | Lightweight text-only model | Fast text processing without vision |
@@ -58,7 +58,7 @@ cloud models (expensive/powerful) AND local models (free/private) in the same co
**Model Capabilities:**
- **Gemini Models**: Support thinking modes (minimal to max), web search, 1M context
- **Pro 2.5**: Deep analysis with max 32K thinking tokens
- **Pro 3.0**: Deep analysis with max 32K thinking tokens
- **Flash 2.5**: Ultra-fast with thinking support (24K thinking tokens)
- **Flash 2.0**: Latest fast model with audio/video input (24K thinking tokens)
- **Flash Lite 2.0**: Text-only lightweight model (no thinking support)
@@ -107,7 +107,7 @@ OPENAI_ALLOWED_MODELS=o3,o4-mini
### Thinking Modes & Token Budgets
These only apply to models that support customizing token usage for extended thinking, such as Gemini 2.5 Pro.
These only apply to models that support customizing token usage for extended thinking, such as Gemini 3.0 Pro.
| Mode | Token Budget | Use Case | Cost Impact |
|------|-------------|----------|-------------|
@@ -155,7 +155,7 @@ These only apply to models that support customizing token usage for extended thi
# Complex debugging, letting claude pick the best model
"Use zen to debug this race condition with max thinking mode"
# Architecture analysis with Gemini 2.5 Pro
# Architecture analysis with Gemini 3.0 Pro
"Analyze the entire src/ directory architecture with high thinking using pro"
```
@@ -346,7 +346,7 @@ To help choose the right tool for your needs:
The Zen MCP server supports vision-capable models for analyzing images, diagrams, screenshots, and visual content. Vision support works seamlessly with all tools and conversation threading.
**Supported Models:**
- **Gemini 2.5 Pro & Flash**: Excellent for diagrams, architecture analysis, UI mockups (up to 20MB total)
- **Gemini 3.0 Pro & Flash**: Excellent for diagrams, architecture analysis, UI mockups (up to 20MB total)
- **OpenAI O3/O4 series**: Strong for visual debugging, error screenshots (up to 20MB total)
- **Claude models via OpenRouter**: Good for code screenshots, visual analysis (up to 5MB total)
- **Custom models**: Support varies by model, with 40MB maximum enforced for abuse prevention

4
docs/configuration.md
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@@ -151,7 +151,9 @@ The `allow_code_generation` capability enables models to generate complete, prod
**Default Thinking Mode for ThinkDeep:**
```env
# Only applies to models supporting extended thinking (e.g., Gemini 2.5 Pro)
# Only applies to models supporting extended thinking (e.g., Gemini 3.0 Pro)
# Starting with Gemini 3.0 Pro, `thinking level` should stick to `high`
DEFAULT_THINKING_MODE_THINKDEEP=high
# Available modes and token consumption:

2
docs/getting-started.md
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@@ -25,7 +25,7 @@ You need at least one API key. Choose based on your needs:
**Gemini (Google):**
- Visit [Google AI Studio](https://makersuite.google.com/app/apikey)
- Generate an API key
- **Note**: For Gemini 2.5 Pro, use a paid API key (free tier has limited access)
- **Note**: For Gemini 3.0 / 2.5 Pro, use a paid API key (free tier has limited access)
**OpenAI:**
- Visit [OpenAI Platform](https://platform.openai.com/api-keys)

16
docs/model_ranking.md
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@@ -37,14 +37,14 @@ of the work so you can enforce organisational preferences easily.
A straightforward rubric that mirrors typical provider tiers:
| Intelligence | Guidance |
|--------------|----------|
| 18–19 | Frontier reasoning models (Gemini 2.5 Pro, GPT‑5.1 Codex, GPT‑5.1, GPT‑5) |
| 15–17 | Strong general models with large context (O3 Pro, DeepSeek R1) |
| 12–14 | Balanced assistants (Claude Opus/Sonnet, Mistral Large) |
| 9–11 | Fast distillations (Gemini Flash, GPT-5 Mini, Mistral medium) |
| 6–8 | Local or efficiency-focused models (Llama 3 70B, Claude Haiku) |
| ≤5 | Experimental/lightweight models |
| Intelligence | Guidance |
|--------------|-------------------------------------------------------------------------------------------|
| 18–19 | Frontier reasoning models (Gemini 3.0 Pro, Gemini 2.5 Pro, GPT‑5.1 Codex, GPT‑5.1, GPT‑5) |
| 15–17 | Strong general models with large context (O3 Pro, DeepSeek R1) |
| 12–14 | Balanced assistants (Claude Opus/Sonnet, Mistral Large) |
| 9–11 | Fast distillations (Gemini Flash, GPT-5 Mini, Mistral medium) |
| 6–8 | Local or efficiency-focused models (Llama 3 70B, Claude Haiku) |
| ≤5 | Experimental/lightweight models |
Record the reasoning for your scores so future updates stay consistent.

6
docs/tools/chat.md
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@@ -39,7 +39,7 @@ word verdict in the end.
- **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 Pro or Gemini 2.5 Pro, get complete, production-ready implementations saved to `zen_generated.code` for your CLI to review and apply
- **Structured code generation**: When using GPT-5.1 or Gemini 3.0 / 2.5 Pro, get complete, production-ready implementations saved to `zen_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
@@ -62,11 +62,11 @@ word verdict in the end.
## Structured Code Generation
When using advanced reasoning models like **GPT-5 Pro** or **Gemini 2.5 Pro**, the chat tool can generate complete, production-ready code implementations in a structured format.
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.
### 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 2.5 Pro**
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**
2. The model 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
4. AI agent continues from the previous context, reads the file, applies the implementation

4
docs/tools/precommit.md
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@@ -59,7 +59,7 @@ to **Publish all Changes** was made after a rigorous set of prompts where it exa
from different angles (performance, bugs, anti-patterns etc). After confirming that unit tests were
passing, it went ahead with an initial review with O3; came back clean - all good to go. O3 was happy, everything looked great.
Then it shared the changes and relevant code with Gemini 2.5 Pro - the following is the outcome:
Then it shared the changes and relevant code with Gemini 3.0 Pro - the following is the outcome:
```
⏺ zen:precommit (MCP)(step: "FINAL VALIDATION COMPLETE. All changes have been thoroughly analyzed and are ready for
@@ -85,7 +85,7 @@ Then it shared the changes and relevant code with Gemini 2.5 Pro - the following
⏺ 🔍 Pre-Commit Validation Complete
Based on comprehensive analysis using both O3 and Gemini 2.5 Pro models, I can provide the following assessment:
Based on comprehensive analysis using both O3 and Gemini 3.0 Pro models, I can provide the following assessment:
✅ APPROVED WITH CRITICAL FIX REQUIRED