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LLM Clients - Consistency Improvements

Completed

1. `validate_model()` warning path

create_llm_client() now calls validate_model() and emits a warning for unknown model names instead of failing immediately.

Remaining Issues to Fix

2. Inconsistent parameter handling

Client	API Key Param	Special Params
OpenAI	`api_key`	`reasoning_effort`
Anthropic	`api_key`	`thinking_config` → `thinking`
Google	`google_api_key`	`thinking_budget`

Fix: Standardize with unified api_key that maps to provider-specific keys

3. `base_url` accepted but ignored

AnthropicClient: accepts base_url but never uses it
GoogleClient: accepts base_url but never uses it (correct - Google doesn't support it)

Fix: Remove unused base_url from clients that don't support it

4. Update validators.py with models from CLI

Sync VALID_MODELS dict with CLI model options after Feature 2 is complete