feat: Add CV parser example

[Ki-Seki]

No description provided.

[Copilot]

Pull request overview

This PR adds a new example demonstrating CV (curriculum vitae) parsing using gimkit's structured text generation capabilities. The example shows how to extract structured information from a CV using masked tags and JSON output format with the OpenRouter API.

Key Changes

• Added examples/cv_parser.py demonstrating extraction of CV fields including personal info, education history, and academic metrics
• Uses JSON output type for structured data extraction
• Demonstrates complex nested structures (educational history list) with gimkit

[Copilot]

Hard-coded API keys, even when masked, should be avoided in example code. This sets a bad precedent for users. Consider using environment variables instead:

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("OPENAI_API_KEY"),
    base_url="https://openrouter.ai/api/v1",
)

This approach is consistent with other examples in the repository (see examples/hello_world.py which uses environment variables).

[Copilot]

The cv_content variable is an empty string, which makes this example non-functional. For a CV parser example to be useful, it should either:

1. Include sample CV text content, or
2. Show how to load CV content from a file, or
3. Include a comment explaining that users should replace this with their own CV content

Consider adding a docstring at the top of the file explaining the example's purpose and how to use it.

[Copilot]

This example lacks documentation explaining its purpose and usage. Consider adding:

1. A module-level docstring describing what the example does
2. Comments explaining the key parts (e.g., the extraction fields structure, the model call)

Other examples in the repository (e.g., examples/gimkit_quickstart.py) include helpful section headers and comments that guide users through the code.