fix(provider): map NaN reasoning levels per model

[Alan-TheGentleman]

Closes #1635

Summary

• Map Pi thinking levels to the reasoning_effort values each NaN model actually accepts, per https://nan.builders/docs/models.
• Advertise GLM 5.3 image input and raise output caps so reasoning that shares max_tokens does not starve the answer.
• Deep-copy thinkingLevelMap so catalog snapshots stay isolated.

Changes

File	Change
lib/nan-provider.ts	Per-model thinkingLevelMap, glm5.3 image input, configured output caps, map cloning
tests/nan-provider.test.ts	Coverage for level mapping, fixed-depth clamping, capabilities, caps, and mutation isolation

Model	Pi levels	maxTokens
glm5.3, glm5.3-flash	minimal→low, xhigh→max, off unsupported	32,768
qwen3.6, gemma4	off→none (disables reasoning), xhigh→max	65,536
deepseek-v4-flash	medium only (fixed depth)	16,384 (NaN floor)
qwen3.8-flash	medium only	131,000 (published)
mimo-v2.6-flash	medium only	32,768

Caps without a published maximum are configured values, not NaN limits.

Test Plan

• Test-first: 7 of 23 focused tests failed before implementation, all 23 pass after (node --experimental-strip-types --test tests/nan-provider.test.ts).
• node scripts/check-types.mjs: 187 recorded diagnostics, no regressions.
• node scripts/run-test-suite.mjs: 4533 passed, 34 skipped, 0 failed.
• git diff --check: clean.
• Live NaN API run: not performed; behavior follows the published documentation.

Checklist

• Linked issue approved (status:approved)
• Exactly one type:* label
• Conventional commit, no Co-Authored-By trailers
• Tests alongside the behavior change

Summary by CodeRabbit

• New Features
  • Image input is now available across all listed models.
  • Reasoning-level options are tailored to each model, with fixed-reasoning models limited to their supported default level.
  • Maximum output lengths have increased for several models, with limits set according to each model’s capabilities.

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📒 Files selected for processing (2)

• lib/nan-provider.ts
• tests/nan-provider.test.ts

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