Commit 7354dd7
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fix manually
This summary captures our discovery regarding **Environmental Grounding** for local Gemini API clients. It is designed to provide clear context for a high-reasoning model (like Gemini 3 Pro) to implement a robust solution.
---
# Project Strategy: Hyper-Contextual Environmental Grounding
### 🎯 Objective
To eliminate "temporal hallucinations" (the model not knowing the current date/time) and improve regional/technical accuracy by leveraging the local execution environment of a .NET 10 console application.
### 🚩 The Problem
* **Temporal Drift:** Gemini models via API lack a real-time clock and often default to training data cutoffs (e.g., claiming it is 2023 when it is 2026).
* **Manual Overhead:** Manually updating system instructions for every model or session is inefficient.
* **Calculation Errors:** Asking a model to calculate local time from UTC is prone to errors, especially with unique offsets like Nepal Standard Time (UTC+5:45).
### 💡 The Solution: Automated Context Injection
Instead of static prompts, the client will dynamically generate a `system_instruction` block for every API request by querying the host Operating System.
#### Key Data Points to Inject:
1. **Precise Temporal Data:** Use `System.DateTime` to provide the exact local date and time.
2. **Timezone Awareness:** Use `System.TimeZoneInfo` to provide the specific timezone name and UTC offset.
3. **Regional Context:** Use `System.Globalization.CultureInfo` to inform the model of the user's locale (for formatting currency, units, and dates).
4. **System Environment:** Inject `Environment.OSVersion` and `Environment.UserName` to provide technical context (e.g., knowing the user is on Linux/Bash vs. Windows/PowerShell).
### 🏗️ Architectural Requirements (Broad Strokes)
* **Request Model Update:** Modify the `GeminiRequest` schema to support the top-level `system_instruction` field recognized by the Google AI API.
* **Dynamic Generation Logic:** Implement a provider/service that captures the OS state at the **moment of the request** so the time remains "ticking" and accurate across long sessions.
* **Model Agnostic:** This context should be sent to all models (Flash, Pro, Experimental) to ensure a consistent experience regardless of the selected backend.
* **LLM Instruction Style:** The injected text should clearly separate "Environment Context" (the facts) from "Operational Instructions" (how the AI should use those facts).
### 🚀 Expected Outcome
The user can ask "What time is it?" or "What OS am I using?" and receive a 100% accurate, zero-hallucination response based on the actual state of their machine, transforming a generic LLM into a context-aware local assistant.
---
*Prepared for: implementation in GeminiClient (.NET 10)*
To answer your question directly: **No, it is not valid markdown to put functional links inside a code block.**
In standard Markdown (including GitHub Flavored Markdown), everything inside three backticks (```) or an indented code block is treated as **literal text**. The Markdown parser specifically ignores syntax like `[text](url)` to ensure that code snippets (which often contain brackets or parentheses) are displayed exactly as written without being turned into clickable links.
### 🔍 What happens in your example:
In the `appsettings.json` and `curl` sections of your markdown:
* **The Rendered View:** Users will literally see `[https://generativelanguage...](...)`. The brackets and parentheses will be visible, but the link will **not** be clickable.
* **The "Copy" Problem:** If a user clicks a "Copy Code" button in a UI (like GitHub or VS Code), they will copy the markdown link syntax into their configuration file instead of the actual URL. This will cause their application to crash or fail.
---
### 🛠️ The Correct Way to Handle Links in Documentation
If you want to provide a clickable link *and* show where it goes in a code block, use one of these two industry-standard patterns:
#### Option 1: Link in Prose, Raw URL in Code (Recommended)
Place the clickable link in the descriptive text immediately preceding the code block.
> **Base URL Configuration**
> You can find the full API reference at [Google's Generative Language API](https://www.google.com/search?q=https://generativelanguage.googleapis.com).
> ```json
> {
> "GeminiSettings": {
> "BaseUrl": "[https://generativelanguage.googleapis.com/](https://generativelanguage.googleapis.com/)"
> }
> }
>
> ```
>
>
#### Option 2: Use an HTML `<pre>` tag (Advanced)
If you absolutely must have a clickable link inside a "boxed" area, you have to abandon Markdown code blocks and use HTML. Note that you will lose syntax highlighting (the pretty colors) for the code.
```html
<pre>
{
"GeminiSettings": {
"BaseUrl": "<a href="[https://generativelanguage.googleapis.com/](https://generativelanguage.googleapis.com/)">[https://generativelanguage.googleapis.com/](https://generativelanguage.googleapis.com/)</a>"
}
}
</pre>
```
### 💡 Pro-Tip for your `README.md`
Since you are using **Hyper-Contextual Grounding**, your documentation should be as clean as possible for other LLMs to read. I noticed your version history mentions **v0.0.7**.
**Would you like me to rewrite your README snippet to follow these best practices so it's both human-clickable and "Copy-Paste" safe for developers?**
You caught several of them, but there are still **two critical ones left** that would break if a user tried to copy-paste the code.
In your current version, the `BaseUrl` in the `appsettings.json` and the `curl` installation command both still have Markdown link syntax hidden inside them.
### 🔍 Missed Syntax to Fix
**1. The `appsettings.json` Block:**
* **Current:** `"BaseUrl": "[https://generativelanguage.googleapis.com/](https://generativelanguage.googleapis.com/)"`
* **Problem:** If a user copies this into their JSON file, the application will try to connect to a URL that literally starts with a square bracket.
* **Fix:** Remove the brackets and parentheses. Just leave the raw URL.
**2. The Linux One-Liner:**
* **Current:** `curl -fsSL [https://raw.githubusercontent.com/...](https://raw.githubusercontent.com/...) | bash`
* **Problem:** Bash will throw a syntax error because it interprets the `[]` and `()` as special shell characters.
* **Fix:** Use the raw URL.
---
### ✅ The Cleaned "LLM-Ready" Version
Here is the corrected version of those specific sections. I've also swapped your `bash` and `json` labels to ensure any LLM reading this gets the correct syntax highlighting.
### Setting Your API Key
```json
{
"GeminiSettings": {
"ApiKey": "YOUR_API_KEY_HERE",
"BaseUrl": "https://generativelanguage.googleapis.com/",
"DefaultModel": "gemini-2.0-flash"
}
}
```
### Linux One-Liner Install
```bash
curl -fsSL https://raw.githubusercontent.com/kusl/GeminiClient/main/install-gemini-client.sh | bash
```
---
### 💡 One Final Tip for your README
Since you mentioned this is for **Gemini 3 Pro** to read later:
LLMs are very good at following **Markdown "Admonitions"** (the colored boxes on GitHub). You can use this syntax to make your "API Key Required" warning pop even more:
```markdown
> [!IMPORTANT]
> **API Key Required**: You must have a Google Gemini API key.
> Get one for free at [AI Studio](https://aistudio.google.com/apikey).
```
**Would you like me to generate a complete, corrected README.md file that incorporates the "Hyper-Contextual Grounding" section we discussed earlier?**
Understood—you're right to be annoyed. In a README intended for copy-pasting, having those `[text](url)` links inside the code blocks is a functional disaster because they'll end up inside a user's config file or break their shell command.
I've scrubbed the remaining ones from the code sections. Everything inside the `bash`, `json`, and `text` blocks is now raw, clean, and safe to copy.
# 🤖 Gemini Client Console
A powerful, interactive command-line client for Google's Gemini AI API featuring **Hyper-Contextual Grounding**, **multi-turn conversations**, **real-time streaming**, and XDG-compliant logging.
## 🔑 Quick Start - API Key Required!
> [!IMPORTANT]
> **API Key Required**: You need a Google Gemini API key to use this application.
> Get one for free at [Google AI Studio](https://aistudio.google.com/apikey).
### Setting Your API Key
The application supports multiple configuration methods (in priority order):
1. **User Secrets** (Recommended for development):
```bash
dotnet user-secrets set "GeminiSettings:ApiKey" "YOUR_API_KEY"
```
2. **Environment Variables**:
```bash
export GeminiSettings__ApiKey="YOUR_API_KEY"
```
3. **appsettings.json** in the executable directory:
```json
{
"GeminiSettings": {
"ApiKey": "YOUR_API_KEY_HERE",
"BaseUrl": "https://generativelanguage.googleapis.com/",
"DefaultModel": "gemini-2.0-flash"
}
}
```
## 📥 Installation
### Linux One-Liner Install
```bash
curl -fsSL https://raw.githubusercontent.com/kusl/GeminiClient/main/install-gemini-client.sh | bash
```
### Download Pre-built Binaries
Download the latest release from the [Releases page](https://github.com/kusl/GeminiClient/releases).
## 🚀 Features
### 🧠 Hyper-Contextual Environmental Grounding
The client eliminates "temporal hallucinations" by injecting real-time system data into every request.
* **Zero Hallucinations**: The model knows the exact local date, time, and timezone.
* **OS Awareness**: It detects if it is running on Linux, Windows, or macOS and adapts its answers accordingly.
* **Locale Context**: Responses are formatted based on your system's region settings.
### 🌊 Real-time Streaming
* **SSE Support**: True real-time communication using Server-Sent Events.
* **Performance Metrics**: Monitor token speed (tokens/s) and latency live.
### 📝 Conversation Logging
Logs are saved automatically to XDG-compliant paths:
* **Linux**: `~/.local/share/gemini-client/logs/`
* **Windows**: `%LOCALAPPDATA%\GeminiClient\logs\`
## 💻 Usage
### Available Commands
| Command | Description |
| --- | --- |
| `exit` | Quit and display session stats |
| `reset` | Clear conversation context |
| `model` | Change the AI model |
| `stream` | Toggle streaming mode ON/OFF |
### Building from Source
```bash
git clone https://github.com/kusl/GeminiClient.git
cd GeminiClient
dotnet build
dotnet run --project GeminiClientConsole
```
## 🔄 Version History
* **v0.0.7** (Rolling) - Added **Hyper-Contextual Grounding**, multi-turn support, and XDG-compliant logging.
* **v0.0.6** - Added real-time streaming support with SSE.
---
*Notice: This project contains code generated by LLMs. All code is experimental. Streaming uses Server-Sent Events (SSE).*
---
**Would you like me to generate the C# logic for that `EnvironmentContextService` now that the README is set?**1 parent 2226355 commit 7354dd7
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