💁🏻 Assistant demo

💻 Demo 04 on github LLM1 error: #<Net::HTTPNotFound:0x00003e25538dae80>

🔎 @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:0x00003e25539c3220 @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"=>{"q"=>"Oregon", "page_size"=>4, "country"=>"us"}}[0m	content_err: can't modify frozen String: ""	#<Langchain::Messages::GoogleGeminiMessage:0x00003e2553c07a90 @role="model", @content="", @tool_calls=[{"functionCall"=>{"name"=>"news_retriever__get_top_headlines", "args"=>{"q"=>"Oregon", "page_size"=>4, "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:0x00003e2553c2cdb8 @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:0x00003e2553c33ac8 @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:0x00003e2553c33a28 @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.	No articles were found in the previous query, so there's nothing to save.	#<Langchain::Messages::GoogleGeminiMessage:0x00003e2553cfac40 @role="model", @content="No articles were found in the previous query, so there's nothing to save.\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:0x00003e2553cfabf0 @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 retrieved and saved to the database, a Carlessian URL cannot be provided. Please try another query to retrieve articles first.	Since no articles were retrieved and saved to the database, a Carlessian URL cannot be provided. Please try another query to retrieve articles first.	#<Langchain::Messages::GoogleGeminiMessage:0x00003e2553cf5ce0 @role="model", @content="Since no articles were retrieved and saved to the database, a Carlessian URL cannot be provided. Please try another query to retrieve articles first.\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.

Answer to Q2: add article to ActiveRecord

🤖Since no articles were retrieved and saved to the database, a Carlessian URL cannot be provided. Please try another query to retrieve articles first.

Gemini text @answer1_position = 4

Person text @answer2_position = 6

@assistant.history

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

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LLM: Langchain::LLM::GoogleVertexAI