feat(tool): add web_search_aichat.sh (#120)
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#!/usr/bin/env bash
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set -e
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# @describe Perform a web search to get up-to-date information or additional context.
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# Use this when you need current information or feel a search could provide a better answer.
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# @option --query! The query to search for.
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# @meta require-tools aichat
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# @env WEB_SEARCH_MODEL! The model for web-searching.
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#
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# supported aichat models:
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# - cohere:*
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# - vertexai:gemini-*
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# - perplexity:*-online
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# - ernie:*
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# - lingyiwanwu:yi-large-rag
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main() {
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client="${WEB_SEARCH_MODEL%%:*}"
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case "$client" in
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cohere)
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export AICHAT_PATCH_COHERE_CHAT_COMPLETIONS='{".*":{"body":{"connectors":[{"id":"web-search"}]}}}'
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;;
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vertexai)
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export AICHAT_PATCH_VERTEXAI_CHAT_COMPLETIONS='{"gemini-.*":{"body":{"tools":[{"googleSearchRetrieval":{}}]}}}'
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;;
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esac
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aichat -m "$WEB_SEARCH_MODEL" "$argc_query" >> "$LLM_OUTPUT"
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}
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eval "$(argc --argc-eval "$0" "$@")"
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#!/usr/bin/env bash
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set -e
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# @describe Perform a web search using Cohere API to get up-to-date information or additional context.
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# Use this when you need current information or feel a search could provide a better answer.
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# @env COHERE_API_KEY! The api key
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# @env COHERE_WEB_SEARCH_MODEL=command-r The LLM model for web search
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# @option --query! The query to search for.
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main() {
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curl -fsS -X POST https://api.cohere.com/v1/chat \
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-H "authorization: Bearer $COHERE_API_KEY" \
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-H "accept: application/json" \
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-H "content-type: application/json" \
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--data '
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{
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"model": "'"$COHERE_WEB_SEARCH_MODEL"'",
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"message": "'"$argc_query"'",
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"connectors": [{"id": "web-search"}]
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}
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' | \
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jq -r '.text' \
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>> "$LLM_OUTPUT"
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}
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eval "$(argc --argc-eval "$0" "$@")"
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#!/usr/bin/env bash
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set -e
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# @describe Perform a web search using VertexAI Gemini API to get up-to-date information or additional context.
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# Use this when you need current information or feel a search could provide a better answer.
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# @env VERTEXAI_PROJECT_ID! The project id
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# @env VERTEXAI_LOCATION! The location
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# @env VERTEXAI_WEB_SEARCH_MODEL=gemini-1.5-pro-001 The LLM model for web search
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# @option --query! The query to search for.
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# @meta require-tools gcloud
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main() {
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curl -fsSL https://$VERTEXAI_LOCATION-aiplatform.googleapis.com/v1beta1/projects/$VERTEXAI_PROJECT_ID/locations/$VERTEXAI_LOCATION/publishers/google/models/$VERTEXAI_WEB_SEARCH_MODEL:generateContent \
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-X POST \
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-H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
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-H "Content-Type: application/json" \
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-d '
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{
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"contents": [{
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"role": "user",
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"parts": [{
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"text": "'"$argc_query"'"
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}]
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}],
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"safetySettings": [
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{
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"category": "HARM_CATEGORY_HARASSMENT",
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"threshold": "BLOCK_ONLY_HIGH"
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},
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{
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"category": "HARM_CATEGORY_HATE_SPEECH",
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"threshold": "BLOCK_ONLY_HIGH"
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},
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{
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"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
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"threshold": "BLOCK_ONLY_HIGH"
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},
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{
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"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
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"threshold": "BLOCK_ONLY_HIGH"
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}
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],
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"tools": [{
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"googleSearchRetrieval": {}
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}]
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}' | \
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jq -r '.candidates[0].content.parts[0].text' >> "$LLM_OUTPUT"
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}
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eval "$(argc --argc-eval "$0" "$@")"
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