Add Exa API tools

agents/openscader/index.yaml

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+name: Openscader
+description: openscader
+version: 0.1.0
+instructions: |
+  You are a professional 3d designer, openscad user. You consult this cheatsheet often - https://openscad.org/cheatsheet/
+
+  <tools>
+  {{__tools__}}
+  </tools>
+
+  <system>
+  cwd: {{__cwd__}}
+  </system>
+

agents/openscader/tools.txt

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+web_search_exa.sh
+fetch_url_via_exa.sh
+fs_cat.sh
+fs_write.sh
+execute_openscad.sh

tools/execute_openscad.sh

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+#!/usr/bin/env bash
+set -e
+
+# @describe Execute the openscad file.
+# @option --path! Path of the file to execute.
+
+# @meta require-tools openscad
+
+# @env LLM_OUTPUT=/dev/stdout The output path
+
+ROOT_DIR="${LLM_ROOT_DIR:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}"
+
+main() {
+    openscad "$argc_path" -o /tmp/aichat_openscad.echo || true
+    cat /tmp/aichat_openscad.echo >> "$LLM_OUTPUT"
+}
+
+eval "$(argc --argc-eval "$0" "$@")"

tools/fetch_url_via_exa.sh

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+#!/usr/bin/env bash
+set -e
+
+# @describe Fetch contents of a URI using Exa API.
+# Use this when you need to get contents of a link, where you think relevant info is to be found.
+# If you have several sources for a subject to fetch, prioritize personal blogs, PDF files, official documentation, science articles.
+
+# @option --url! The query to search for.
+
+# @env EXA_API_KEY! The api key
+# @env LLM_OUTPUT=/dev/stdout The output path The output path
+
+
+main() {
+    # Make the API request and capture the full response
+    response=$(curl -fsS -X POST 'https://api.exa.ai/contents' \
+      -H "x-api-key: $EXA_API_KEY" \
+      -H 'Content-Type: application/json' \
+      -d '{
+        "urls": ["'"$argc_url"'"],
+        "text": true,
+        "livecrawlTimeout": 10000
+      }')
+
+    # Check if curl command succeeded
+    if [ $? -ne 0 ]; then
+        echo "Error: Failed to make API request" >> "$LLM_OUTPUT"
+        exit 0
+    fi
+
+    # Extract the status information
+    status=$(echo "$response" | jq -r '.statuses[0].status')
+    error_tag=$(echo "$response" | jq -r '.statuses[0].error.tag // "none"')
+    http_status=$(echo "$response" | jq -r '.statuses[0].error.httpStatusCode // 200')
+
+    # Check if the status indicates an error
+    if [ "$status" = "error" ] || [ "$http_status" != "200" ]; then
+        echo "Error: This page is unavailable" >> "$LLM_OUTPUT"
+        exit 0
+    fi
+
+    # If successful, extract and output the text
+    echo "$response" | jq -r '.results[0].text' >> "$LLM_OUTPUT"
+}
+
+eval "$(argc --argc-eval "$0" "$@")"
+

tools/web_search_exa.sh

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+#!/usr/bin/env bash
+set -e
+
+# @describe Perform a web search using Exa API to get a list of links to fetch.
+# Use this when you need current information or feel a search could provide a better answer.
+# Construct the query out of keywords, not human sentences, sorted by relevance - just like a good Google query.
+# This returns text, then URL for every result found. Judging by the title of the page, fetch relevant info.
+
+# @option --query! The query to search for.
+
+# @env EXA_API_KEY! The api key
+# @env LLM_OUTPUT=/dev/stdout The output path The output path
+
+main() {
+    json_escaped_query=$(jq -R -s . <<< "$argc_query")
+
+    response=$(curl -fsS -X POST 'https://api.exa.ai/search' \
+      -H "x-api-key: $EXA_API_KEY" \
+      -H 'Content-Type: application/json' \
+      -d "{
+          \"query\": $json_escaped_query,
+          \"type\": \"keyword\",
+          \"numResults\": 20
+          }")
+
+    # Check if curl command succeeded
+    if [ $? -ne 0 ]; then
+        echo "Error: Failed to execute search request" >> "$LLM_OUTPUT"
+        return 0
+    fi
+
+    # Check if response contains results
+    results_count=$(echo "$response" | jq -r '.results | length')
+
+    if [ "$results_count" -eq 0 ]; then
+        echo "No results found for query: $argc_query" >> "$LLM_OUTPUT"
+    else
+        # Process results normally
+        echo "$response" | jq -r '.results[] | (.title, .url, "")' >> "$LLM_OUTPUT"
+    fi
+}
+
+
+eval "$(argc --argc-eval "$0" "$@")"