Set the search summary model from the settings panel
Summarizing web search results falls back to DEFAULT_MODEL, so a local Ollama model ends up doing it and the call can fail — which surfaces only as "保存できる要約なし" in the chat. Make SEARCH_SUMMARY_MODEL settable at runtime: add it to the settings allowlist and read it from os.environ on each call (knowledge._summary_model), the way LOCAL_KB_EMBEDDING_MODEL already works. Importing it as a config constant would keep the old value until a restart. Show the current value of the settings that are not secrets. A model name rendered as ••••qwen3 gives no way to tell what is in effect, so the store now marks those keys (NON_SECRET_KEYS) and returns them unmasked; the API field is renamed masked -> display_value and carries a secret flag that the panel uses to pick the input type, replacing the list it kept on its own side. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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@@ -137,7 +137,7 @@ LLM に渡すコンテキストは `app/core/memory_kb/memory.py` の `get_conte
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| `MEMORY_SUMMARIZE_THRESHOLD` | `20` | 長期メモリ化するメッセージ数の閾値 |
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| `KNOWLEDGE_CONTEXT_LIMIT` | `15` | 蓄積知識をシステムプロンプトに注入する最大件数 |
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| `TAVILY_API_KEY` | — | Tavily Web 検索の API キー(未設定なら `web_search` は空を返す) |
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| `SEARCH_SUMMARY_MODEL` | — | Web 検索結果の要約に使うモデル(未設定なら `DEFAULT_MODEL`) |
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| `SEARCH_SUMMARY_MODEL` | — | Web 検索結果の要約に使うモデル(未設定なら `DEFAULT_MODEL`。GUI 設定画面から実行時変更可) |
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| `TAGGING_MODEL` | — | メッセージの自動タグ付けに使うモデル(未設定なら `DEFAULT_MODEL`) |
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| `LOCAL_KB_DIR` | `knowledge_base` | ローカル Markdown ナレッジベースのディレクトリ |
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| `LOCAL_KB_EMBEDDING_MODEL` | `text-embedding-3-small` | ローカル KB の埋め込みモデル(GUI 設定画面から実行時変更可) |
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