💁🏻 Assistant demo

💻 Demo 04 on github LLM1 error: #<Net::HTTPNotFound:0x00003e78f908e890>

🔎 @query: 'Latest 4 news from Oregon (US)'

LLM: Langchain::LLM::GoogleGemini

LLM authenticated?: true

LLM description: Gemini LLM (consumer) - should have low QPS

AAA
🔑 Role	Content
`Role`	Conversation
`🤔 user`	🤔Latest 4 news from Oregon (US)	Latest 4 news from Oregon (US)	#<Langchain::Messages::GoogleGeminiMessage:0x00003e78f9646008 @role="user", @content="Latest 4 news from Oregon (US)", @tool_calls=[], @tool_call_id=nil>
`🤖 model`	🤖 [model] 🛠️ [1/1] 🛠️ [0;90;49m{"name"=>"news_retriever__get_top_headlines", "args"=>{"page_size"=>4, "q"=>"Oregon", "country"=>"us"}}[0m	content_err: can't modify frozen String: ""	#<Langchain::Messages::GoogleGeminiMessage:0x00003e78f8f18df8 @role="model", @content="", @tool_calls=[{"functionCall"=>{"name"=>"news_retriever__get_top_headlines", "args"=>{"page_size"=>4, "q"=>"Oregon", "country"=>"us"}}}], @tool_call_id=nil>
`🛠️ function`	🛠️"<span class=\"text-red-500\">news_retriever__get_top_headlines</span> ==> {\"status\":\"ok\",\"totalResults\":0,\"articles\":[]}"	{"status":"ok","totalResults":0,"articles":[]}	#<Langchain::Messages::GoogleGeminiMessage:0x00003e78f8f2f5a8 @role="function", @content="{\"status\":\"ok\",\"totalResults\":0,\"articles\":[]}", @tool_calls=[], @tool_call_id="news_retriever__get_top_headlines">
`🤖 model`	🤖No articles found about Oregon.	No articles found about Oregon.	#<Langchain::Messages::GoogleGeminiMessage:0x00003e78f935d6c0 @role="model", @content="No articles found about Oregon.\n", @tool_calls=[], @tool_call_id=nil>
`🤔 user`	🤔Please save the first article to the DB	Please save the first article to the DB	#<Langchain::Messages::GoogleGeminiMessage:0x00003e78f935d620 @role="user", @content="Please save the first article to the DB", @tool_calls=[], @tool_call_id=nil>
`🤖 model`	🤖No articles were found in the previous query, so there's nothing to save. Would you like me to try a different search?	No articles were found in the previous query, so there's nothing to save. Would you like me to try a different search?	#<Langchain::Messages::GoogleGeminiMessage:0x00003e78f96ef798 @role="model", @content="No articles were found in the previous query, so there's nothing to save. Would you like me to try a different search?\n", @tool_calls=[], @tool_call_id=nil>
`🤔 user`	🤔If you were able to save that article to the DB, please provide the Carlessian URL	If you were able to save that article to the DB, please provide the Carlessian URL	#<Langchain::Messages::GoogleGeminiMessage:0x00003e78f96ef748 @role="user", @content="If you were able to save that article to the DB, please provide the Carlessian URL", @tool_calls=[], @tool_call_id=nil>
`🤖 model`	🤖Since no articles were found, nothing was saved to the database. Therefore, I cannot provide a Carlessian URL. Would you like me to try a different search and then save the first result to the database?	Since no articles were found, nothing was saved to the database. Therefore, I cannot provide a Carlessian URL. Would you like me to try a different search and then save the first result to the database?	#<Langchain::Messages::GoogleGeminiMessage:0x00003e78fb6de3d8 @role="model", @content="Since no articles were found, nothing was saved to the database. Therefore, I cannot provide a Carlessian URL. Would you like me to try a different search and then save the first result to the database?\n", @tool_calls=[], @tool_call_id=nil>

Computer's last message🛬

Answer to Q1: article search

🤖No articles were found in the previous query, so there's nothing to save. Would you like me to try a different search?

Answer to Q2: add article to ActiveRecord

🤖Since no articles were found, nothing was saved to the database. Therefore, I cannot provide a Carlessian URL. Would you like me to try a different search and then save the first result to the database?

Gemini text @answer1_position = 4

Person text @answer2_position = 6

@assistant.history