Is it possible to create multiple AI chatbots with a modular design with one main_bot that users interact with and main_bot figures out the specialized bots to bring into the conversation? I’ve dug deep into all the AI-plugin documentation and am not sure how I would do this. Thank you for such a powerful, customizable tool.

I believe that this is technically possible via our tool scripting now. I’m mistaken here @sam ?

If we have 3 specialized bots each with their own documents, are their embeddings isolated? Or do you think I need to do something special with the embeddings/docs to make sure they are easily isolated?

The documents uploaded to a Persona are isolated to that Persona.

[图片] Yenwod: Is it possible to create multiple AI chatbots with a modular design with one main_bot that users interact with and main_bot figures out the specialized bots to bring into the conversation? I’ve dug deep into all the AI-plugin documentation and am not sure how I would do this. Can you expand on your example, make it a bit more concrete. Tools now have direct access to personas, so you can define a persona that routes requests to a tool that then decides on the best persona for the job, but really understanding the full flow you have in mind will help us give advice here.

[图片] sam: Can you expand on your example, make it a bit more concrete. There is a great deal of risk/benefit info in medical literature for vaccinations. Having one Persona (say, VaccineBot) know all of it means easily hundreds of documents uploaded and a lot of potential for confusion. I experimented with this approach and the answers aren’t great. Instead, I was thinking we’d do specialized Personas: DTaP-Bot HepB-Bot MMR-Bot Rotavirus-Bot Polio-Bot etc etc etc This looks really good from a modular design and information-focus perspective. But it also puts a large burden on the community members to know more than most do about vaccine schedules. So ideally VaccineBot would take the user’s question, figure out what specialized bots to involve, and be able to orchestrate the conversation. For example, there are combination vaccines (6 vaccines in one shot) that if a parent had a question about it would need to pull in multiple bots. Or when talking about the 2 month well-visit where an infant can get up to 8 vaccines at once, VaccineBot would need to include all those specialized bots and somehow get a summary from each about what their purpose and focus is along with common reactions, etc. This domain gets complex really quick: DTaP = 3 vaccines, 1 shot, cannot be broken apart HepB = 1 vaccine, 1 shot MMR = 3 vaccines, 1 shot, cannot be broken apart Pediatricians often give combination vaccines such as Vaxelis, a 6 in 1 shot: DTaP + HepB + Polio + Hib A 2-month well visit might involve Vaxelis + PCV + Rotavirus If a user asks about an upcoming 2 month visit, the orchestrator bot (VaccineBot) would need to work with 6 different Personas (bots) or at least bring them into the conversation. Does this make sense?

I’ll keep experimenting and report back on this.

Please create a similar prompt for VaccineBot: Analyze the question posed to you and summon the most appropriate user based on the following topics, using this format: @username @DTaP-Bot: Covers three vaccines, administered in a single shot, indivisible. @HepB-Bot: Pertains to a single vaccine, administered in one shot. @MMR-Bot: Encompasses three vaccines, given in one shot, indivisible. @Rotavirus-Bot: … @Polio-Bot: … Ensure that the settings of the bots you create include the option “others may mention,” so that after the initial bot responds, the appropriate bot can be added to the reply, providing a comprehensive answer to the query. I provided a sample prompt; you can seek assistance from ChatGPT to craft a more refined and tailored prompt that aligns perfectly with your preferences.

Hmm… I think we can sort this out with a custom tool today! Upload all the documents to the custom tool Give the custom tool the params “semantic_query” and “vaccine_name” (enum) Then in the custom JS run the search on the vaccine_name upload and inject that particular piece into the context That ensures you only get context for the specific subset.

Thank you @kuaza and @sam for excellent guidance on how to approach this. I will report back soon. –Chris

@sam - the tool approach has worked beautifully. Thank you again. –Chris

构建模块化AI聊天机器人

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Yenwod (Chris) 2025 年4 月 23 日 23:41 11

感谢 @kuaza 和 @sam 的精彩指导，让我知道如何着手处理此事。我将很快汇报进展。

–Chris

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