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14.3-32 32-32H416c17.7 0 32 14.3 32 32s-14.3 32-32 32H32c-17.7 0-32-14.3-32-32zM448 416c0 17.7-14.3 32-32 32H32c-17.7 0-32-14.3-32-32s14.3-32 32-32H416c17.7 0 32 14.3 32 32z"></path></svg></button><div class="ml-4 flex text-sm leading-6 whitespace-nowrap min-w-0 space-x-3"><div class="flex items-center space-x-3"><span>Guides</span><svg width="3" height="24" viewBox="0 -9 3 24" class="h-5 rotate-0 overflow-visible fill-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div><div class="font-semibold text-gray-900 truncate dark:text-gray-200">AI Supervisor Overrides</div></div></div></div></div></div></div><div class="max-w-8xl px-4 mx-auto lg:px-8 min-h-screen"><div class="z-20 hidden lg:block fixed bottom-0 right-auto w-[18rem] top-[4rem]" id="sidebar"><div class="absolute inset-0 z-10 stable-scrollbar-gutter overflow-auto pr-8 pb-10" id="sidebar-content"><div class="relative lg:text-sm lg:leading-6"><div 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py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="inbox-notifications.html"><div class="flex-1 flex items-center space-x-2.5"><div>Inbox Notifications</div></div></a></li><li id="/conversation-labeling" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="conversation-labeling.html"><div class="flex-1 flex items-center space-x-2.5"><div>Conversation Labeling</div></div></a></li><li id="/multi-agents-chatbot" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="multi-agents-chatbot.html"><div class="flex-1 flex items-center space-x-2.5"><div>Multi-Agents Chatbot</div></div></a></li><li id="/fine-tuning-agent-intents" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="fine-tuning-agent-intents.html"><div class="flex-1 flex items-center space-x-2.5"><div>Fine Tuning Agent Intents</div></div></a></li><li id="/supervisor-overrides" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl bg-primary/10 text-primary font-semibold dark:text-primary-light dark:bg-primary-light/10" style="padding-left:1rem" href="supervisor-overrides.html"><div class="flex-1 flex items-center space-x-2.5"><div>AI Supervisor Overrides</div></div></a></li><li id="/byok-pricing-guide" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="byok-pricing-guide.html"><div class="flex-1 flex items-center space-x-2.5"><div>Bring Your Own Key (BYOK) and Pricing</div></div></a></li><li id="/working-with-tables" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="working-with-tables.html"><div class="flex-1 flex items-center space-x-2.5"><div>Working with Tables and CSV</div></div></a></li><li id="/best-practices" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="best-practices.html"><div class="flex-1 flex items-center space-x-2.5"><div>Best practices for preparing training data</div></div></a></li><li id="/help" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="help.html"><div class="flex-1 flex items-center space-x-2.5"><div>Why does my chatbot not answer correctly?</div></div></a></li></ul></div><div class="mt-12 lg:mt-8"><h5 class="pl-4 mb-3.5 lg:mb-2.5 font-semibold text-gray-900 dark:text-gray-200">Function Calling</h5><ul><li id="/rag-from-external-data-provider" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="rag-from-external-data-provider.html"><div class="flex-1 flex items-center space-x-2.5"><div>RAG from an External Data Provider</div></div></a></li></ul></div><div class="mt-12 lg:mt-8"><h5 class="pl-4 mb-3.5 lg:mb-2.5 font-semibold text-gray-900 dark:text-gray-200">Authentication Webhook</h5><ul><li id="/user-identity" class="scroll-m-4 first:scroll-m-20"><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-xl hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="user-identity.html"><div class="flex-1 flex items-center space-x-2.5"><div>User Identity Verification</div></div></a></li></ul></div></div></div></div></div><div class="" id="content-container"><div class="flex flex-row gap-12 box-border w-full pt-40 lg:pt-10"><div class="relative grow box-border flex-col w-full mx-auto px-1 lg:pl-[23.7rem] lg:-ml-12 xl:w-[calc(100%-28rem)]" id="content-area"><header id="header" class="relative"><div class="mt-0.5 space-y-2.5"><div class="eyebrow h-5 text-primary dark:text-primary-light text-sm font-semibold">Guides</div><div class="flex items-center"><h1 class="inline-block text-2xl sm:text-3xl font-extrabold text-gray-900 tracking-tight dark:text-gray-200">AI Supervisor Overrides</h1></div></div></header><div class="flex flex-col gap-8"><div class="flex flex-col gap-6 xl:hidden [&:not(:empty)]:mt-8"></div></div><div class="relative mt-8 prose prose-gray dark:prose-invert"><p>If you have a multi-Agent chatbot setup, GPT-trainer uses an AI Supervisor to automatically
determine which user-facing Agent is best suited for handling the most recent input query.
However, there may be times when you want more “deterministic” control over which Agent handles
the job.</p>
<p>In this article, we demonstrate how you can use AI Supervisor Overrides to set up logic conditions
that, when satisfied, directly switches to a designated Agent.</p>
<p>In the AI Agents tab, you will see a button that expands “AI Supervisor Settings” drawer:</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>After you open it, in the “Rules” tab, you will be able to specify conditional rules that get
evaluated every time the user inputs a query into your chatbot. These conditions, if satisfied,
will bypass the AI Supervisor’s own judgment and force a designated Agent to handle the current
input query.</p>
<p>To add a new rule, click the “Create new rule” button. To edit rules, go to the three-dot-menu
on the top right of the rule, then select “Edit” in the dropdown.</p>
<div class="my-4 px-5 py-4 overflow-hidden rounded-2xl flex gap-3 border border-sky-500/20 bg-sky-50/50 dark:border-sky-500/30 dark:bg-sky-500/10"><div class="mt-0.5 w-4"><svg width="14" height="14" viewBox="0 0 14 14" fill="currentColor" xmlns="http://www.w3.org/2000/svg" class="w-4 h-4 text-sky-500" aria-label="Note"><path fill-rule="evenodd" clip-rule="evenodd" d="M7 1.3C10.14 1.3 12.7 3.86 12.7 7C12.7 10.14 10.14 12.7 7 12.7C5.48908 12.6974 4.0408 12.096 2.97241 11.0276C1.90403 9.9592 1.30264 8.51092 1.3 7C1.3 3.86 3.86 1.3 7 1.3ZM7 0C3.14 0 0 3.14 0 7C0 10.86 3.14 14 7 14C10.86 14 14 10.86 14 7C14 3.14 10.86 0 7 0ZM8 3H6V8H8V3ZM8 9H6V11H8V9Z"></path></svg></div><div class="text-sm prose min-w-0 text-sky-900 dark:text-sky-200"><p>Please note that you may need to scroll down on the dropdown menu to see additional options when
you are building the rule.</p></div></div>
<p>After you are satisfied with the rules, make sure to “Connect” them so they become active. Rules
are placed in an evaluation queue. This means that as soon as a rule evaluates to <strong>TRUE</strong>, all
subsequent rule evaluations will be skipped and that rule will be immediately executed.</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>A good example of AI Supervisor Override in action is the “delayed lead collection” setup. Consider
the use case where you want to build a chatbot that handles general FAQ, but you want to start collecting
user information after 2-3 questions. Furthermore, you want to make it so that if the user insists on
not providing their information, your chatbot will continue serving them as an anonymous entity rather
than completely deny further meaningful interactions.</p>
<p>First, you need a regular “Lead Collection” setup described in our <a href="lead-collection.html">Lead Collection</a> article. Once you
are finished, continue below.</p>
<p>At this point, you should have two user-facing Agents set up:</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>Then, open AI Supervisor Settings. Click “Create new rule”. In the three-dot-menu on the top right corner,
select “Edit”. You will enter edit mode for the rule. For our use case, we set the following conditions:</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>This means that as soon as the “total # of user input queries” equals exactly 3, the AI Supervisor will set
the Agent to be Lead Collection. Click “Save”.</p>
<p>Next, add another rule. This time, we apply the following conditions:</p>
<ol>
<li>If the current Agent is Lead Collection,</li>
<li>AND, if the number of queries consecutively handled by the current active Agent is fewer than 4…</li>
<li>AND, if any of the user’s information (name, email, phone) is not specified…</li>
<li>THEN stay on the Lead Collection Agent.</li>
</ol>
<p>This means that the Lead Collection Agent will continue to request user information until either it has conversed
with the user at least 4 times or it has successfully collected all the requested information.</p>
<p>While you are in edit mode, click “Add Rule” to add a new condition for evaluation. At step 2 above, your rule
setup should look like this:</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>Step 3 requires a “group” evaluation where the conditions are defined as:</p>
<ul>
<li>If Variable “user_name” is not specified…</li>
<li>OR, if Variable “user_ email” is not specified…</li>
<li>OR, if Variable “user_phone” is not specified…</li>
<li>Then evaluate to TRUE</li>
</ul>
<p>So we set up the following “Group”:</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>Then within the group, click “Add Rule” and set up the appropriate conditional statements:</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>Finally, as in step 4, make sure that the “Lead Collection” Agent is assigned when the rule is executed:</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>Connect your rules via the same three-dot-menu option “Connect”. If successful, they should display a green
“Active” status:</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>Now, we can go to “Preview” and test the chatbot under this new set of AI Supervisor Overrides. You should notice
the correct behavior being applied. In debug view, you should see an “override” tag next to Active Agent if an override
rule is enforced.</p>
<div><div class="p-2 not-prose relative bg-gray-50/50 rounded-2xl overflow-hidden dark:bg-gray-800/25"><div style="background-position:10px 10px" class="absolute inset-0 bg-grid-neutral-200/20 [mask-image:linear-gradient(0deg,#fff,rgba(255,255,255,0.6))] dark:bg-grid-white/5 dark:[mask-image:linear-gradient(0deg,rgba(255,255,255,0.1),rgba(255,255,255,0.5))]"></div><div class="relative rounded-xl overflow-hidden flex justify-center"></div><div class="absolute inset-0 pointer-events-none border border-black/5 rounded-2xl dark:border-white/5"></div></div></div>
<p>You can design many complex workflows using AI Supervisor Overrides. However, this is an advanced feature that directly
controls how the AI Supervisor behaves. We highly recommend that you test your configuration thoroughly before deploying
it if you wish to make use of this feature.</p></div><div class="leading-6 mt-14"><div class="mb-12 px-0.5 flex items-center text-sm font-semibold text-gray-700 dark:text-gray-200"><a class="flex items-center space-x-3 group" href="fine-tuning-agent-intents.html"><svg viewBox="0 0 3 6" class="h-1.5 stroke-gray-400 overflow-visible group-hover:stroke-gray-600 dark:group-hover:stroke-gray-300"><path d="M3 0L0 3L3 6" fill="none" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg><span class="group-hover:text-gray-900 dark:group-hover:text-white">Fine Tuning Agent Intents</span></a><a class="flex items-center ml-auto space-x-3 group" href="byok-pricing-guide.html"><span class="group-hover:text-gray-900 dark:group-hover:text-white">Bring Your Own Key (BYOK) and Pricing</span><svg viewBox="0 0 3 6" class="rotate-180 h-1.5 stroke-gray-400 overflow-visible group-hover:stroke-gray-600 dark:group-hover:stroke-gray-300"><path d="M3 0L0 3L3 6" fill="none" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg></a></div><footer id="footer" class="flex gap-12 justify-between pt-10 border-t border-gray-100 sm:flex dark:border-gray-800/50 pb-28"><div class="flex items-center justify-between"><div class="sm:flex"><a href="https://mintlify.com/preview-request?utm_campaign=poweredBy&utm_medium=docs&utm_source=guide.gpt-trainer.com" target="_blank" rel="noreferrer" class="text-sm text-gray-500 dark:text-gray-400 hover:text-gray-700 dark:hover:text-gray-300">Powered by Mintlify</a></div></div></footer></div></div><div class="z-10 hidden xl:flex pl-10 box-border w-[19rem]" id="table-of-contents"></div></div></div></div></div></main></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"mdxSource":{"compiledSource":"\"use strict\";\nconst {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n const _components = {\n a: \"a\",\n li: \"li\",\n ol: \"ol\",\n p: \"p\",\n strong: \"strong\",\n ul: \"ul\",\n ..._provideComponents(),\n ...props.components\n }, {Frame, Note, ZoomImage} = _components;\n if (!Frame) _missingMdxReference(\"Frame\", true);\n if (!Note) _missingMdxReference(\"Note\", true);\n if (!ZoomImage) _missingMdxReference(\"ZoomImage\", true);\n return _jsxs(_Fragment, {\n children: [_jsx(_components.p, {\n children: \"If you have a multi-Agent chatbot setup, GPT-trainer uses an AI Supervisor to automatically\\ndetermine which user-facing Agent is best suited for handling the most recent input query.\\nHowever, there may be times when you want more “deterministic” control over which Agent handles\\nthe job.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"In this article, we demonstrate how you can use AI Supervisor Overrides to set up logic conditions\\nthat, when satisfied, directly switches to a designated Agent.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"In the AI Agents tab, you will see a button that expands “AI Supervisor Settings” drawer:\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-1.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"After you open it, in the “Rules” tab, you will be able to specify conditional rules that get\\nevaluated every time the user inputs a query into your chatbot. 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Note, ZoomImage} = _components;\n if (!Frame) _missingMdxReference(\"Frame\", true);\n if (!Note) _missingMdxReference(\"Note\", true);\n if (!ZoomImage) _missingMdxReference(\"ZoomImage\", true);\n return _jsxs(_Fragment, {\n children: [_jsx(_components.p, {\n children: \"If you have a multi-Agent chatbot setup, GPT-trainer uses an AI Supervisor to automatically\\ndetermine which user-facing Agent is best suited for handling the most recent input query.\\nHowever, there may be times when you want more “deterministic” control over which Agent handles\\nthe job.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"In this article, we demonstrate how you can use AI Supervisor Overrides to set up logic conditions\\nthat, when satisfied, directly switches to a designated Agent.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"In the AI Agents tab, you will see a button that expands “AI Supervisor Settings” drawer:\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-1.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"After you open it, in the “Rules” tab, you will be able to specify conditional rules that get\\nevaluated every time the user inputs a query into your chatbot. These conditions, if satisfied,\\nwill bypass the AI Supervisor’s own judgment and force a designated Agent to handle the current\\ninput query.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"To add a new rule, click the “Create new rule” button. To edit rules, go to the three-dot-menu\\non the top right of the rule, then select “Edit” in the dropdown.\"\n }), \"\\n\", _jsx(Note, {\n children: _jsx(_components.p, {\n children: \"Please note that you may need to scroll down on the dropdown menu to see additional options when\\nyou are building the rule.\"\n })\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"After you are satisfied with the rules, make sure to “Connect” them so they become active. Rules\\nare placed in an evaluation queue. This means that as soon as a rule evaluates to \", _jsx(_components.strong, {\n children: \"TRUE\"\n }), \", all\\nsubsequent rule evaluations will be skipped and that rule will be immediately executed.\"]\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-2.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"A good example of AI Supervisor Override in action is the “delayed lead collection” setup. Consider\\nthe use case where you want to build a chatbot that handles general FAQ, but you want to start collecting\\nuser information after 2-3 questions. Furthermore, you want to make it so that if the user insists on\\nnot providing their information, your chatbot will continue serving them as an anonymous entity rather\\nthan completely deny further meaningful interactions.\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"First, you need a regular “Lead Collection” setup described in our \", _jsx(_components.a, {\n href: \"/lead-collection\",\n children: \"Lead Collection\"\n }), \" article. Once you\\nare finished, continue below.\"]\n }), \"\\n\", _jsx(_components.p, {\n children: \"At this point, you should have two user-facing Agents set up:\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-3.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"Then, open AI Supervisor Settings. Click “Create new rule”. In the three-dot-menu on the top right corner,\\nselect “Edit”. You will enter edit mode for the rule. For our use case, we set the following conditions:\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-5.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"This means that as soon as the “total # of user input queries” equals exactly 3, the AI Supervisor will set\\nthe Agent to be Lead Collection. Click “Save”.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"Next, add another rule. This time, we apply the following conditions:\"\n }), \"\\n\", _jsxs(_components.ol, {\n children: [\"\\n\", _jsx(_components.li, {\n children: \"If the current Agent is Lead Collection,\"\n }), \"\\n\", _jsx(_components.li, {\n children: \"AND, if the number of queries consecutively handled by the current active Agent is fewer than 4…\"\n }), \"\\n\", _jsx(_components.li, {\n children: \"AND, if any of the user’s information (name, email, phone) is not specified…\"\n }), \"\\n\", _jsx(_components.li, {\n children: \"THEN stay on the Lead Collection Agent.\"\n }), \"\\n\"]\n }), \"\\n\", _jsx(_components.p, {\n children: \"This means that the Lead Collection Agent will continue to request user information until either it has conversed\\nwith the user at least 4 times or it has successfully collected all the requested information.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"While you are in edit mode, click “Add Rule” to add a new condition for evaluation. At step 2 above, your rule\\nsetup should look like this:\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-6.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"Step 3 requires a “group” evaluation where the conditions are defined as:\"\n }), \"\\n\", _jsxs(_components.ul, {\n children: [\"\\n\", _jsx(_components.li, {\n children: \"If Variable “user_name” is not specified…\"\n }), \"\\n\", _jsx(_components.li, {\n children: \"OR, if Variable “user_ email” is not specified…\"\n }), \"\\n\", _jsx(_components.li, {\n children: \"OR, if Variable “user_phone” is not specified…\"\n }), \"\\n\", _jsx(_components.li, {\n children: \"Then evaluate to TRUE\"\n }), \"\\n\"]\n }), \"\\n\", _jsx(_components.p, {\n children: \"So we set up the following “Group”:\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-7.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"Then within the group, click “Add Rule” and set up the appropriate conditional statements:\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-8.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"Finally, as in step 4, make sure that the “Lead Collection” Agent is assigned when the rule is executed:\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-9.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"Connect your rules via the same three-dot-menu option “Connect”. If successful, they should display a green\\n“Active” status:\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-10.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"Now, we can go to “Preview” and test the chatbot under this new set of AI Supervisor Overrides. You should notice\\nthe correct behavior being applied. In debug view, you should see an “override” tag next to Active Agent if an override\\nrule is enforced.\"\n }), \"\\n\", _jsx(Frame, {\n children: _jsx(ZoomImage, {\n children: _jsx(\"img\", {\n src: \"https://mintlify.s3.us-west-1.amazonaws.com/paladinmaxinc/images/supervisor-overrides-11.png\"\n })\n })\n }), \"\\n\", _jsx(_components.p, {\n children: \"You can design many complex workflows using AI Supervisor Overrides. However, this is an advanced feature that directly\\ncontrols how the AI Supervisor behaves. 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