feat(tool): add web_search_vertexai.sh (#93)

tools/web_search_tavily.sh

@@ -1,7 +1,7 @@
 #!/usr/bin/env bash
 set -e
 
-# @describe Perform a web search using EXA API to get up-to-date information or additional context.
+# @describe Perform a web search using Tavily API to get up-to-date information or additional context.
 # Use this when you need current information or feel a search could provide a better answer.
 
 # @env TAVILY_API_KEY! The api key

tools/web_search_vertexai.sh

@@ -0,0 +1,51 @@
+#!/usr/bin/env bash
+set -e
+
+# @describe Perform a web search using VertexAI Gemini API to get up-to-date information or additional context.
+# Use this when you need current information or feel a search could provide a better answer.
+
+# @env VERTEXAI_PROJECT_ID! The project id
+# @env VERTEXAI_LOCATION! The location
+# @env VERTEXAI_WEB_SEARCH_MODEL=gemini-1.5-pro-001 The LLM model for web search
+# @option --query! The query to search for.
+# @meta require-tools gcloud
+
+main() {
+    curl -fsSL https://$VERTEXAI_LOCATION-aiplatform.googleapis.com/v1beta1/projects/$VERTEXAI_PROJECT_ID/locations/$VERTEXAI_LOCATION/publishers/google/models/$VERTEXAI_WEB_SEARCH_MODEL:generateContent \
+        -X POST \
+        -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
+        -H "Content-Type: application/json" \
+        -d '
+{
+    "contents": [{
+        "role": "user",
+        "parts": [{
+            "text": "'"$argc_query"'"
+        }]
+    }],
+    "safetySettings": [
+        {
+            "category": "HARM_CATEGORY_HARASSMENT",
+            "threshold": "BLOCK_ONLY_HIGH"
+        },
+        {
+            "category": "HARM_CATEGORY_HATE_SPEECH",
+            "threshold": "BLOCK_ONLY_HIGH"
+        },
+        {
+            "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+            "threshold": "BLOCK_ONLY_HIGH"
+        },
+        {
+            "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+            "threshold": "BLOCK_ONLY_HIGH"
+        }
+    ],
+    "tools": [{
+        "googleSearchRetrieval": {}
+    }]
+  }' | \
+    jq -r '.candidates[0].content.parts[0].text' >> "$LLM_OUTPUT"
+}
+
+eval "$(argc --argc-eval "$0" "$@")"