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

This commit is contained in:
sigoden
2024-08-09 11:44:41 +08:00
committed by GitHub
parent e77c51cbde
commit 70eb3d91c9
3 changed files with 57 additions and 3 deletions
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@@ -36,9 +36,12 @@ execute_command.sh
<details> <details>
<summary>Where is the web_search tool?</summary> <summary>Where is the web_search tool?</summary>
The normal `web_search` tool does not exist. One needs to run `argc link-web-search <web-search-tool>` to link to one of the available `web_search_*` tools. The normal `web_search` tool does not exist. Please run `argc link-web-search <web-search-tool>` to link to one of the available `web_search_*` tools.
![image](https://github.com/user-attachments/assets/559bebb9-fd35-4e21-b13f-29fd13b3586d) ```
$ argc link-web-search web_search_<tab>
web_search_cohere.sh web_search_perplexity.sh web_search_tavily.sh web_search_vertexai.sh
```
</details> </details>
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#!/usr/bin/env bash #!/usr/bin/env bash
set -e 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. # Use this when you need current information or feel a search could provide a better answer.
# @env TAVILY_API_KEY! The api key # @env TAVILY_API_KEY! The api key
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#!/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 "$0" "$@")"