Mar 3, 2026 Meeting Mar 3, 2026 at 22:31 PST - Transcript 00:00:00 Rajashekar G: So in this repository in uh multiple connectors it's like only a chart interface. So chart interface will be having connectors like Salesforce uh guit. So datose. Vara Kumar Jagarapu: Okay. Mhm. Okay. Rajashekar G: It's like datier to the demo like saleseople. Vara Kumar Jagarapu: H. Rajashekar G: So later we moved it to enterprise brain like enterprise brain we will be having this connection Salesforce connection and Vara Kumar Jagarapu: H Rajashekar G: guit Vara Kumar Jagarapu: M H Rajashekar G: and So there are two things first. So let's say discuss Vara Kumar Jagarapu: H. Rajashekar G: everything like API Vara Kumar Jagarapu: Okay. Rajashekar G: interface But what happened is Vara Kumar Jagarapu: H. Rajashekar G: he's having a like library that library initially whatever we are seeing here is so any chat interface I mean any AI it needs a chat interface sockets authentication Vara Kumar Jagarapu: H. Rajashekar G: login history management session based session contri Vara Kumar Jagarapu: Hm. Okay. Rajashekar G: Pi idea. PIP is like npm Vara Kumar Jagarapu: Okay. 00:03:33 Rajashekar G: for Vara Kumar Jagarapu: Install something. Okay. Rajashekar G: he used to have it as a demo interface element. Vara Kumar Jagarapu: Okay. Rajashekar G: But very bas. So once we Vara Kumar Jagarapu: Yeah. Rajashekar G: went to the design and took the inputs. So finally we are at this stage right now. This kind of UI we are able to do using pyog. Vara Kumar Jagarapu: H. Rajashekar G: So plug and play system. layer. So Vara Kumar Jagarapu: H. Rajashekar G: deposit repos. Vara Kumar Jagarapu: Okay. Rajashekar G: So whatever Vara Kumar Jagarapu: H. Rajashekar G: used to have one file like let's say EB executing agent plog UAP agent import agent Vara Kumar Jagarapu: Okay. Rajashekar G: file agent exeu manufacturing data Vara Kumar Jagarapu: H. Rajashekar G: So next this UI UI is completely UI sockets authentication everything is coming from pyog library and this major function What do you Vara Kumar Jagarapu: Hey. Rajashekar G: know? It is saying I have Salesforce and I have insurance Vara Kumar Jagarapu: Hey. 00:06:50 Rajashekar G: database connected. So sgest. So behavior we will be writing in enterprise ground. Vara Kumar Jagarapu: Okay. Rajashekar G: So if I see this is all the instructions I mean system prompt we can say. Vara Kumar Jagarapu: Okay. Rajashekar G: So these are all the instructions we have and we have all the connections established here and tools Vara Kumar Jagarapu: H. Rajashekar G: and factory function. I will only be working on this file and running. I will be running command. I'll show you this one. Python Vara Kumar Jagarapu: simply. Rajashekar G: app Vara Kumar Jagarapu: Yeah. Expert. Mhm. Rajashekar G: and internally we are having dependencies from pyogend pyog dashboarding pyog embeds pyog integration pyog shell. So these Vara Kumar Jagarapu: H. Rajashekar G: all the UI is completely server. whatever we are Vara Kumar Jagarapu: H. Rajashekar G: saying. Vara Kumar Jagarapu: Okay. Rajashekar G: So that is the thing as of now we have built the structure we are Vara Kumar Jagarapu: Mhm. Rajashekar G: following. So we having a brand.com till what we have stabilized is Salesforce 00:08:56 Vara Kumar Jagarapu: H. Rajashekar G: insurance database stabiliz and another Vara Kumar Jagarapu: Okay. Rajashekar G: thing uh demo vd demo dot visual defect detection this is for enterprise brain for manufacturing Vara Kumar Jagarapu: H. Okay. Rajashekar G: Same system. Same system having this data set. Salesforce Vara Kumar Jagarapu: voice. Rajashekar G: insurance. Hello. Vara Kumar Jagarapu: Yeah. Okay. Rajashekar G: office. Vara Kumar Jagarapu: Yeah. Okay. Rajashekar G: Yeah. So this manufacturing agent recently we have done so simple architecture I will be working on the system that's it Vara Kumar Jagarapu: H. Rajashekar G: is running on one port and uh this is having a URL of uh another one demo Enterprise. Vara Kumar Jagarapu: H. Rajashekar G: Salesforce insurance. environment connect we will be working on that environment as of now those three environments one more environment is chanika.com okay chanika.com and de environment both are Vara Kumar Jagarapu: Okay. Yeah. Rajashekar G: Easy. Oh no. Vara Kumar Jagarapu: Okay. NLTSQL Rajashekar G: Enterprise skill is down. This is not needed. 00:11:33 Vara Kumar Jagarapu: host. Rajashekar G: This is not needed. Vara Kumar Jagarapu: Mhm. Rajashekar G: This is not needed. Multiple links, multiple things. Vara Kumar Jagarapu: Okay. Rajashekar G: Okay. Okay. Okay. Okay. Vara Kumar Jagarapu: No. Okay. They figure Rajashekar G: Okay. Okay. Vara Kumar Jagarapu: out Rajashekar G: Fine, we'll get deeper into it or else whatever you have so Vara Kumar Jagarapu: uh but I want to understand a little bit code also. Rajashekar G: far. Vara Kumar Jagarapu: Vector Rajashekar G: Okay. Vara Kumar Jagarapu: something. Rajashekar G: Okay. Vara Kumar Jagarapu: First of all, Rajashekar G: He will be adding you. Vara Kumar Jagarapu: Yeah. Yeah. Try to get little bit understanding. I ask uh Rajashekar G: Okay. Vara Kumar Jagarapu: Yeah. Rajashekar G: And one more thing whatever we have done there Vara Kumar Jagarapu: Okay. Uh how Rajashekar G: everything needs to be data. Vara Kumar Jagarapu: Oh, Rajashekar G: We should be able to Vara Kumar Jagarapu: details. Rajashekar G: Sure. Vara Kumar Jagarapu: Okay. Yes, sir. If I have some doubts, I'll list it Rajashekar G: Okay. Vara Kumar Jagarapu: down. Okay, Rajashekar G: Sure. Vara Kumar Jagarapu: then maybe. Yeah. Mostly afternoon. Rajashekar G: Sure. Vara Kumar Jagarapu: Okay. Yeah. Rajashekar G: Sure. Manisha Gundapuneedi: Ah nothing Rajashekar G: Office. Manisha Gundapuneedi: stand. Rajashekar G: Okay. Okay. Vara Kumar Jagarapu: Yeah. Yeah. And there Rajashekar G: Please call this. Hello. Uh message Okay. Okay. Okay. Got Vara Kumar Jagarapu: Okay. Rajashekar G: it. Okay. Yeah. Thank you. Manisha Gundapuneedi: Thank you. Bye. Rajashekar G: A Transcription ended after 00:16:20 This editable transcript was computer generated and might contain errors. People can also change the text after it was created.