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Migliorate llm_short_description per tutti i connector — tool names espliciti

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Ogni connector.json ora ha una llm_short_description che elenca i tool
specifici che espone, così l'LLM sa esattamente cosa attivare (lazy load).

SKALD.md: documentata criticità del campo llm_short_description
nel system prompt dell'LLM.
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dguiducci
2026-07-22 22:21:52 +01:00
parent be1150fe51
commit 3440890d11
17 changed files with 129 additions and 99 deletions
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connectors/exa/connector.json
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@@ -16,7 +16,7 @@
{
"lang": "en",
"description": "AI-powered web search, content extraction, and embeddings via Exa's neural search engine. Perfect for deep research, finding specific information, and analyzing page content. Works without an API key (free rate-limited tier) \u2014 add your own key for higher limits.",
"llm_short_description": "Search the web and extract page content using Exa's neural search engine. Tools: web_search_exa, web_fetch_exa."
"llm_short_description": "Exa neural search engine: semantic web search and content extraction. Tools: web_search_exa (semantic/keyword search with domain filter, date range, result count), web_fetch_exa (extract full content + metadata from URLs). Best for semantic search that understands intent, not just keywords. Free tier available without API key."
}
],
"auth": {