fix: add fallback vision detection for Ollama models with incomplete capabilities

[roomote-v0]

Related GitHub Issue

Closes: #12211

Description

This PR attempts to address Issue #12211 where Ollama models (like gemma4 unsloth variants) report "Does not support images" even though they have vision capabilities. The root cause is that some third-party model quants strip the "vision" entry from the Ollama capabilities array.

How it works:

The parseOllamaModel function previously relied solely on capabilities.includes("vision"). This PR adds a detectVisionSupport() helper that checks three sources in order:

1. capabilities array (authoritative, preferred) -- unchanged behavior
2. details.families -- checks for known vision encoder family names (clip, siglip, mmproj, mllama)
3. model_info keys -- regex match for keys containing vision, clip, siglip, mmproj, or image_encoder

This makes Roo Code more resilient when the capabilities array is incomplete while still preferring the authoritative field when available.

Test Procedure

• Added 8 new unit tests covering all fallback paths (families-based detection, model_info-based detection, case insensitivity, and negative cases)
• All 20 tests in ollama.test.ts pass
• Lint and type checks pass across the monorepo

Pre-Submission Checklist

• Issue Linked: This PR is linked to an approved GitHub Issue (see "Related GitHub Issue" above).
• Scope: My changes are focused on the linked issue (one major feature/fix per PR).
• Self-Review: I have performed a thorough self-review of my code.
• Testing: New and/or updated tests have been added to cover my changes.
• Documentation Impact: No documentation updates required.
• Contribution Guidelines: I have read and agree to the Contributor Guidelines.

Documentation Updates

• No documentation updates are required.

Additional Notes

Feedback and guidance are welcome. The set of vision family names and model_info key patterns may need to be expanded as new multimodal architectures appear in Ollama.

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