Support custom model endpoint in Copilot CLI (like VS Code)

### Proposed solution

Title: Support custom model endpoint in Copilot CLI (like VS Code)

VS Code's Language Models panel allows configuring custom endpoints
for local or private models. Copilot CLI should have the same capability.

This would enable:
- Local model development and testing
- Enterprise private model deployment
- Integration with Ollama, LLaMA.cpp, etc.

Copilot CLI currently only supports GitHub's official models (Claude, GPT-5), but VS Code's Copilot extension supports custom model endpoints through the Language Models API.

I need to use a local model (running on my machine) or a custom API endpoint with Copilot CLI, just like I can in VS Code. This would enable:

1. **Local model development** - Test custom models locally before deployment
2. **Private/Enterprise models** - Use organization's private LLM endpoints
3. **Cost control** - Run models locally instead of using API quotas
4. **Integration with local tools** - Connect to Ollama, LLaMA.cpp, vLLM, or other local inference servers

## Proposed solution

Add support for custom model endpoints in Copilot CLI, similar to VS Code's Language Models panel:

```bash
copilot /model-config
# or
copilot --model-endpoint http://localhost:8000
```
Configuration in ~/.copilot/config.json:

```JSON

{
"customModels": [
{
"name": "my-local-model",
"endpoint": "http://localhost:8000/v1",
"apiKey": "optional-key"
}
]
}
```
Then select it in the /model picker just like official models.

### Example prompts or workflows

_No response_

### Additional context

VS Code already has this feature via Language Models API
Many users want to use local models for privacy/cost reasons
OpenAI-compatible API format is now standard (Ollama, vLLM, etc.)
This would make Copilot CLI feature-parity with VS Code in model selection

Beginne mit der Überprüfung des vorhandenen /model pickers und der Konfigurationsverarbeitung und vergleiche anschließend die vorgeschlagene Form von benutzerdefinierten Modellen in ~/.copilot/config.json mit der in diesem Issue beschriebenen VS Code Language Models API. Als erledigt gilt die Aufgabe, wenn Copilot CLI einen lokalen oder privaten Endpunkt konfigurieren und auswählen kann, einschließlich der hier genannten OpenAI-kompatiblen Dienste wie Ollama, vLLM oder LLaMA.cpp.

Vom Indexierungsmodell aus dem Issue-Text verfasst.