.prompt "name":"Anthropic Model Registry Generator", "version":"1.0.0", "params":{"model":"grok-3"}
You are goin to have to paste this prompt into Grok-3
as it don't work from keprompt

.# Generate the Anthropic API LLM definitions
.llm "model": "grok-3"
.system
You are part of an automated processing system.
Generate the requested files.
.user
I will include the web page https://docs.anthropic.com/en/docs/about-claude/models/overview
atr the end... From it:

for each LLM listed in "Model aliases": create a python dictionary with entries like:

"claude-3-5-haiku-latest": {
        "company": "Anthropic",
        "model": "Claude Haiku 3.5",
        "input": 0.000008,    # $0.80 / MTok
        "output": 0.000004, # $4 / MTok
        "context": 200000,
        "modality_in": "Text+Vision",
        "modality_out": "Text",125
        "functions": "Yes",
        "description": "Claude 3 Haiku is Anthropic’s fastest and most compact model, optimized for speed and cost-effectiveness. It’s ideal for applications requiring quick responses, such as lightweight chatbots or simple data processing tasks.",
        "cutoff": "2024-03",  # April 2024
        "link": "https://docs.anthropic.com/en/docs/about-claude/models/overview"
    },

Use Info From following sections:
- Model aliases
- Model comparison table
- Model pricing

Write entire dictionary to Anthropic_models.py
