diff --git a/librechat.yaml b/librechat.yaml
index 58b3323..f0c50ef 100644
--- a/librechat.yaml
+++ b/librechat.yaml
@@ -32,7 +32,6 @@ modelSpecs:
   prioritize: true
   list:
     - name: tinfoil-deepseek-v4-1-flash
-      webSearch: true
       iconURL: "data:image/png;base64,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"
       label: "🔒 tinfoil/deepseek-v4-1-flash"
       softDefault: true
@@ -40,49 +39,42 @@ modelSpecs:
         endpoint: "Inference Co-op"
         model: "tinfoil/deepseek-v4-1-flash"
     - name: tinfoil-gpt-oss-120b
-      webSearch: true
       iconURL: 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       label: "🔒 tinfoil/gpt-oss-120b"
       preset:
         endpoint: "Inference Co-op"
         model: "tinfoil/gpt-oss-120b"
     - name: tinfoil-glm-5-3
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       iconURL: 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"
       label: "🔒 tinfoil/glm-5.3"
       preset:
         endpoint: "Inference Co-op"
         model: "tinfoil/glm-5.3"
     - name: greenpt-deepseek-v4-1-flash
-      webSearch: true
       iconURL: 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       label: "🌱 greenpt/deepseek-v4.1-flash"
       preset:
         endpoint: "Inference Co-op"
         model: "greenpt/deepseek-v4.1-flash"
     - name: greenpt-glm-5-3-flash
-      webSearch: true
       iconURL: 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"
       label: "🌱 greenpt/glm-5.3-flash"
       preset:
         endpoint: "Inference Co-op"
         model: "greenpt/glm-5.3-flash"
     - name: greenpt-glm-5-3
-      webSearch: true
       iconURL: 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"
       label: "🌱 greenpt/glm-5.3"
       preset:
         endpoint: "Inference Co-op"
         model: "greenpt/glm-5.3"
     - name: regolo-apertus-70b
-      webSearch: true
       iconURL: 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       label: "🌱 regolo/apertus-70b"
       preset:
         endpoint: "Inference Co-op"
         model: "regolo/apertus-70b"
     - name: regolo-qwen3-5-122b
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