Converts GeminiCLI and Antigravity to OpenAI, GEMINI, and Claude API interfaces. Operations teams use it to integrate these tools with existing workflows. Connects to Python 3.12+ environments and supports Claude agents.
git clone https://github.com/su-kaka/gcli2api.githttps://github.com/su-kaka/gcli2api
["1. **Identify the Script**: Locate the GeminiCLI script you want to convert. Ensure it is compatible with Python 3.12+ environments.","2. **Define Requirements**: Specify the error handling and performance criteria you need for the converted script.","3. **Use the Prompt Template**: Fill in the [SCRIPT], [SPECIFIC_ERRORS], and [PERFORMANCE_CRITERIA] placeholders in the prompt template.","4. **Run the Conversion**: Paste the completed prompt into your AI tool (e.g., Claude or ChatGPT) and execute it to get the converted script.","5. **Test the Script**: Run the converted script in your Python 3.12+ environment to ensure it works as expected. Make adjustments as needed."]
Integrate OpenAI's chat capabilities into a web application using the gcli2api interface.
Automate the generation of content using Gemini's native API format for research purposes.
Use Claude's API to enhance customer support chatbots with advanced AI responses.
Implement a multi-modal input system that combines text and images for richer AI interactions.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/su-kaka/gcli2apiCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Convert the following GeminiCLI script to an OpenAI API interface: [SCRIPT]. Ensure the output maintains the same functionality while adapting to OpenAI's API specifications. Include error handling for [SPECIFIC_ERRORS] and optimize for [PERFORMANCE_CRITERIA].
Here's the converted script from GeminiCLI to OpenAI API interface:
```python
import openai
# Initialize the OpenAI client
client = openai.OpenAI(api_key='your-api-key')
# Define the function to process data
def process_data(input_data):
try:
# Call the OpenAI API
response = client.chat.completions.create(
model="gpt-4-1106-preview",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": input_data}
]
)
return response.choices[0].message.content
except openai.APIError as e:
print(f"API Error: {e}")
return None
except Exception as e:
print(f"Error: {e}")
return None
# Example usage
input_data = "Process this data: [sample data]"
output = process_data(input_data)
print(output)
```
The script includes error handling for API errors and general exceptions, and it is optimized for performance by using the latest GPT-4 model. The functionality remains the same as the original GeminiCLI script, ensuring a seamless transition.Fast, flexible flat-file CMS for modern websites
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