[Feat] Add DeepSeek V4 Flash Vision Exp support

[zoomote]

​Opened on behalf of @taltas. Follow up by mentioning @roomote, in the web UI, or in Discord.

What changed

• Adds deepseek-v4-flash-vision-exp to the native DeepSeek catalog with vision, thinking, temperature, context/output limits, cache pricing, and prompt-cache metadata.
• Adds Fireworks' verified static entry, accounts/fireworks/models/deepseek-v4-flash-vision-exp, with provider-specific limits and pricing.
• Extends native DeepSeek request handling for thinking controls and reasoning-effort normalization while preserving image blocks in OpenAI-compatible requests.
• Adds focused coverage for metadata, model fetching, static selection, request behavior, and image input.

Why this change was made

DeepSeek released an experimental multimodal V4 Flash model that is now available through the native DeepSeek API and Fireworks. Static catalogs need explicit metadata so Zoo Code can select the model, retain image input, expose reasoning controls, and estimate cost correctly.

Authoritative sources:

• DeepSeek release announcement
• DeepSeek models and pricing
• DeepSeek vision guide
• DeepSeek thinking-mode guide
• Fireworks model page
• OpenRouter model page

Impact

Users can select the model through native DeepSeek and Fireworks with image support and accurate provider-specific metadata. Native peak rates are $0.44/M cache-miss input, $0.014/M cache-hit input, and $1.32/M output; DeepSeek's off-peak rates are half. Fireworks rates are $0.22/M input, $0.007/M cached input, and $0.66/M output.

OpenRouter already discovers this model dynamically, so no static entry was added. Other static provider catalogs were left unchanged because their providers do not currently expose a verified deployment and provider-specific ID. Full lint, type checks, focused tests, and the 7,950-test Zoo Code suite pass. The delegated visual-proof handoff timed out, so no screenshot evidence is included.

Related PRs

• Zoo-Code-Docs: [Docs] Document DeepSeek V4 Flash Vision Exp Zoo-Code-Docs#57

[github-actions]

Review process

This PR was opened by an automated account. A human maintainer must verify the change intent, provenance, and validation before merging.

1. Required CI checks pass.
2. The workflow starts CodeRabbit automatically.
3. For eligible human-authored PRs, CodeRabbit reviews and approves the latest commit.
4. A human maintainer reviews and approves after CodeRabbit.

Current step: Mark the PR ready to start CodeRabbit after required CI passes.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

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