Add a New LLM Driver

Scaffolds all files needed to integrate a new LLM provider into Prompture.

Before Starting

Ask the user for:

• Provider name (lowercase, used as registry key and provider/model prefix)
• SDK package name on PyPI and minimum version (or requests/httpx for raw HTTP)
• Default model ID
• Authentication — API key env var name, endpoint URL, or both
• API compatibility — OpenAI-compatible (/v1/chat/completions), custom SDK, or proprietary HTTP
• Lazy or eager import — lazy if SDK is optional, eager if it's in install_requires

Also look up the provider on models.dev to determine:

• models.dev provider name (e.g., "anthropic" for Claude, "xai" for Grok, "moonshotai" for Moonshot)
• Whether models.dev has entries — if yes, pricing comes from models.dev live data (set MODEL_PRICING = {}). Either way, add a JSON rate file in prompture/infra/rates/ with model capabilities (tokens_param, supports_temperature, etc.).

Files to Create or Modify (11 total)