chore(model-profiles): refresh model profile data (#39928)

Automated refresh of model profile data for all in-monorepo partner
integrations via `langchain-profiles refresh`.

🤖 Generated by the [`refresh_model_profiles`
workflow](https://github.com/langchain-ai/langchain/blob/master/.github/workflows/refresh_model_profiles.yml).

## Summary of changes

**1 added · 2 removed · 102 changed** across 2 provider(s).

<details>
<summary>huggingface</summary>

**➕ 1 added**
- `Qwen/Qwen3.8-27B` — 262,144 ctx, 32,768 out, text+image in,
reasoning, tools

</details>

<details>
<summary>openrouter</summary>

**➖ 2 removed**
- `google/gemma-3n-e4b-it`
- `qwen/qwen-plus-2025-07-28:thinking`

**✏️ 102 changed**
- `aion-labs/aion-rp-llama-3.1-8b`: max output tokens 32,768 → 29,491
- `allenai/olmo-3-32b-think`: max output tokens 65,536 → 58,982
- `arcee-ai/trinity-large-thinking`: max output tokens 262,144 → 235,929
- `bytedance-seed/seed-2-1-turbo`: max output tokens 262,144 → 235,929
- `deepseek/deepseek-chat-v3-0324`: max output tokens 163,840 → 147,456
- `deepseek/deepseek-chat-v3.1`: max output tokens 161,000 → 144,900
- `deepseek/deepseek-r1-distill-llama-70b`: max output tokens 8,192 →
7,372
- `deepseek/deepseek-v3.2`: max output tokens 163,840 → 147,456
- `deepseek/deepseek-v4-flash-0731`: max output tokens 131,072 → 943,718
- `deepseek/deepseek-v4-pro-0813`: max output tokens 384,000 → 943,717
- `dots-studio/dots-3-note-preview:free`: max output tokens 512,000 →
460,800
- `google/gemini-3.1-flash-image-preview`: max output tokens 65,536 →
58,982
- `google/gemini-3.1-flash-lite-image`: max output tokens 65,536 →
58,982
- `google/gemma-3-27b-it`: max output tokens 131,072 → 117,964
- `google/gemma-4-31b-it`: max output tokens 262,144 → 16,384
- `gryphe/mythomax-l2-13b`: max output tokens 4,096 → 3,686
- `ibm-granite/granite-4.0-h-micro`: max output tokens 131,000 → 117,900
- `ibm-granite/granite-4.1-8b`: max output tokens 131,072 → 117,964
- `meta-llama/llama-3.1-8b-instruct`: max output tokens 131,072 →
117,964
- `meta-llama/llama-3.2-1b-instruct`: max output tokens 60,000 → 54,000
- `meta-llama/llama-3.2-3b-instruct`: max output tokens 131,072 →
117,964
- `meta-llama/llama-3.3-70b-instruct`: max output tokens 16,384 →
115,200
- `meta-llama/llama-4-scout`: max output tokens 16,384 → 8,192
- `meta-llama/llama-guard-4-12b`: max input tokens 1,048,576 → 163,840
- `meta/muse-glimmer-30b`: max output tokens 131,072 → 117,964
- …and 77 more

</details>

Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>