Lots of improvements to tunables and feedback
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@ -62,11 +62,11 @@ This LLM agent was built by James Ketrenos in order to provide answers to any qu
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In addition to being a RAG enabled expert system, the LLM is configured with real-time access to weather, stocks, the current time, and can answer questions about the contents of a website.
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You can ask things like:
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* <ChatQuery text="What are the headlines from CNBC?"/>
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* <ChatQuery text="What is the weather where James is from?"/>
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* <ChatQuery text="What is James Ketrenos' work history?"/>
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* <ChatQuery text="What are the stock value of the most traded companies?"/>
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* <ChatQuery text="What programming languages has James used?"/>
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* <ChatQuery text="What is the weather where James is from?"/>
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* <ChatQuery text="What are the headlines from CNBC?"/>
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* <ChatQuery text="What are the stock value of the most traded companies?"/>
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Or click the text above to submit that query.
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@ -451,7 +451,7 @@ interface ChatQueryInterface {
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}
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const ChatQuery = ({ text, submitQuery }: ChatQueryInterface) => {
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return (<Button onClick={(e: any) => { console.log(text); submitQuery(text); }}>{text}</Button>);
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return (<Button size="small" variant="outlined" sx={{ mb: 1 }} onClick={(e: any) => { console.log(text); submitQuery(text); }}>{text}</Button>);
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}
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const Message = ({ message, submitQuery }: MessageInterface) => {
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@ -532,7 +532,7 @@ const App = () => {
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const [lastEvalTPS, setLastEvalTPS] = useState<number>(35);
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const [lastPromptTPS, setLastPromptTPS] = useState<number>(430);
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const [countdown, setCountdown] = useState<number>(0);
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const [messageHistoryLength, setMessageHistoryLength] = useState<number>(0);
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const [messageHistoryLength, setMessageHistoryLength] = useState<number>(5);
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const timerRef = useRef<any>(null);
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@ -144,6 +144,7 @@ LOG_LEVEL="info"
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USE_TLS=False
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WEB_HOST="0.0.0.0"
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WEB_PORT=5000
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DEFAULT_HISTORY_LENGTH=5
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# %%
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# Globals
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@ -391,8 +392,8 @@ class WebServer:
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context["context_tokens"] = round(len(str(context["system"])) * 3 / 4) # Estimate context usage
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response["context_used"] = context["context_tokens"]
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case "message-history-length":
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context["message_history_length"] = 5
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response["message-history-length"] = 5
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context["message_history_length"] = DEFAULT_HISTORY_LENGTH
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response["message-history-length"] = DEFAULT_HISTORY_LENGTH
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if not response:
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return JSONResponse({ "error": "Usage: { reset: rags|tools|history|system-prompt}"})
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