fix:formatting for AI generated responses

This commit is contained in:
hackerESQ
2024-10-31 15:19:59 -05:00
parent 4c1da2308e
commit 6231baefe9
5 changed files with 263 additions and 597 deletions
Generated
+1 -347
View File
@@ -4,7 +4,7 @@
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@@ -5936,62 +5729,6 @@
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@@ -7948,89 +7685,6 @@
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+13
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@@ -5,3 +5,16 @@
[x-cloak] {
display: none;
}
.ai-chat ul {
margin-left: 1.1rem;
}
.ai-chat ul li {
padding-left: 1.1rem;
list-style-type: disc;
}
.ai-chat li, .ai-chat p {
padding-bottom: .25em;
}
+1 -1
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@@ -208,7 +208,7 @@
Based on this current market data, quantity owned, and average cost basis, you should determine if the {$holding->symbol} holding is making or losing money.
Below is the question from the investor. Considering these facts, provide a concise response to the following question (give a direct response). Limit your response to no more than 75 words and consider using a common decision framework:"
Below is the question from the investor. Considering these facts, provide a concise response to the following question (give a direct response). Limit your response to no more than 75 words and consider using a common decision framework. Use github style markdown for any formatting:"
])
</div>
+247 -248
View File
@@ -1,232 +1,209 @@
<?php
use Mary\Traits\Toast;
use App\Models\AiChat;
use App\Models\Holding;
use Illuminate\Database\Eloquent\Model;
use Livewire\Volt\Component;
use OpenAI\Laravel\Facades\OpenAI;
use OpenAI\Responses\StreamResponse;
new class extends Component {
use Toast;
// props
public Model $chatable;
public string $system_prompt = '';
public array $suggested_prompts = [];
public array $messages = [];
public ?string $prompt = null;
public ?string $answer = null;
public bool $streaming = false;
// methods
public function mount()
{
$this->messages = $this->chatable->chats()->orderByRaw('created_at, id')->get(['role', 'content'])->toArray();
}
use Mary\Traits\Toast;
use App\Models\AiChat;
use App\Models\Holding;
use Illuminate\Database\Eloquent\Model;
use Livewire\Volt\Component;
use OpenAI\Laravel\Facades\OpenAI;
use OpenAI\Responses\StreamResponse;
public function startCompletion($suggestedPrompt = null)
{
// prevent spam
if ($this->isRateLimited() || $this->streaming) {
array_push($this->messages, [
'role' => 'assistant',
'content' => __('Hang on! You\'re doing that too much.')
]);
$this->js('scrollChatWindow(250)');
return;
}
new class extends Component {
if ($suggestedPrompt) {
$this->prompt = $suggestedPrompt;
}
use Toast;
if (empty(trim($this->prompt))) {
$this->resetPrompt();
// props
public Model $chatable;
public string $system_prompt = 'You are an investment portfolio assistant providing advice to an investor. Use the following information to provide relevant recommendations. Use the words \'likely\' or \'may\' instead of concrete statements (except for obvious statements of fact or common sense). Use github style markdown for any formatting.';
public array $suggested_prompts = [];
public array $messages = [];
public ?string $prompt = null;
public ?string $answer = null;
public bool $streaming = false;
array_push($this->messages, ['role' => 'assistant', 'content' => __('Feel free to ask me a question!')]);
$this->js('scrollChatWindow(250)');
return;
}
$this->chatable->chats()->save(new AiChat(['role' => 'user', 'content' => $this->prompt]));
array_push($this->messages, ['role' => 'user', 'content' => $this->prompt]);
// methods
public function mount()
{
$this->messages = $this->chatable->chats()->orderByRaw('created_at, id')->limit(25)->get(['role', 'content'])->toArray();
}
public function startCompletion($suggestedPrompt = null)
{
// prevent spam
if ($this->isRateLimited() || $this->streaming) {
array_push($this->messages, [
'role' => 'assistant',
'content' => __('Hang on! You\'re doing that too much.')
]);
$this->js('scrollChatWindow(250)');
$this->resetPrompt();
$this->streaming = true;
$this->js('$wire.generate()');
return;
}
if ($suggestedPrompt) {
$this->prompt = $suggestedPrompt;
}
if (empty(trim($this->prompt))) {
$this->resetPrompt();
array_push($this->messages, ['role' => 'assistant', 'content' => __('Feel free to ask me a question!')]);
$this->js('scrollChatWindow(250)');
return;
}
$this->chatable->chats()->save(new AiChat(['role' => 'user', 'content' => $this->prompt]));
array_push($this->messages, ['role' => 'user', 'content' => $this->prompt]);
$this->js('scrollChatWindow(250)');
$this->resetPrompt();
$this->streaming = true;
$this->js('$wire.generate()');
}
public function generate(): void
{
public function generate(): void
{
try {
$stream = OpenAI::chat()->createStreamed([
'model' => config('openai.model'),
'messages' => [
['role' => 'system', 'content' => $this->system_prompt],
...array_slice($this->messages, -10)
],
]);
} catch (\Exception $e) {
$this->chatable->chats()->save(new AiChat(['role' => 'assistant', 'content' => $e->getMessage()]));
array_push($this->messages, ['role' => 'assistant', 'content' => $e->getMessage()]);
$this->resetPrompt();
return;
}
$this->stream(to: "answer", content: '', replace: true);
try {
$stream = OpenAI::chat()->createStreamed([
'model' => config('openai.model'),
'messages' => [
['role' => 'system', 'content' => $this->system_prompt],
...array_slice($this->messages, -10)
],
]);
} catch (\Exception $e) {
$this->chatable->chats()->save(new AiChat(['role' => 'assistant', 'content' => $e->getMessage()]));
array_push($this->messages, ['role' => 'assistant', 'content' => $e->getMessage()]);
$this->resetPrompt();
return;
}
$this->stream(to: "answer", content: '', replace: true);
foreach($stream as $response){
foreach($stream as $response){
if(!empty($response->choices[0]->delta->content)) {
$this->stream(to: 'answer', content: $response->choices[0]->delta->content, replace: false);
$this->answer .= $response->choices[0]->delta->content;
}
$this->js('scrollChatWindow()');
if(!empty($response->choices[0]->delta->content)) {
$this->stream(to: 'answer', content: $response->choices[0]->delta->content, replace: false);
$this->answer .= $response->choices[0]->delta->content;
}
$this->chatable->chats()->save(new AiChat(['role' => 'assistant', 'content' => $this->answer]));
array_push($this->messages, ['role' => 'assistant', 'content' => $this->answer]);
$this->resetPrompt();
$this->js('scrollChatWindow()');
}
public function resetPrompt(): void
{
$this->answer = null;
$this->prompt = null;
$this->streaming = false;
$this->chatable->chats()->save(new AiChat(['role' => 'assistant', 'content' => $this->answer]));
array_push($this->messages, ['role' => 'assistant', 'content' => $this->answer]);
$this->resetPrompt();
}
public function resetPrompt(): void
{
$this->answer = null;
$this->prompt = null;
$this->streaming = false;
}
public function isRateLimited(): bool
{
$rateLimitKey = auth()->id() . '/' . $this->chatable->id;
if (RateLimiter::tooManyAttempts($rateLimitKey, 20)) {
return true;
}
public function isRateLimited(): bool
{
$rateLimitKey = auth()->id() . '/' . $this->chatable->id;
RateLimiter::hit($rateLimitKey, 60);
if (RateLimiter::tooManyAttempts($rateLimitKey, 20)) {
return true;
}
return false;
}
RateLimiter::hit($rateLimitKey, 60);
}; ?>
return false;
}
}; ?>
<div
x-data="{
open: false,
async scrollChatWindow(delay = 0) {
await new Promise(resolve => setTimeout(resolve, delay));
this.$refs.chatWindow.scrollBy({
top: this.$refs.chatWindow.scrollHeight,
behavior: 'smooth'
});
}
}"
class="flex flex-col"
<div
x-data="{
open: false,
async scrollChatWindow(delay = 0) {
await new Promise(resolve => setTimeout(resolve, delay));
this.$refs.chatWindow.scrollBy({
top: this.$refs.chatWindow.scrollHeight,
behavior: 'smooth'
});
}
}"
class="flex flex-col"
>
<x-button
@click="$dispatch('toggle-ai-chat')"
class="btn btn-circle btn-lg btn-primary fixed bottom-10 right-10"
>
<x-slot:label>
<x-icon name="o-sparkles" class="w-8 h-8"></x-icon>
</x-slot:label>
</x-button>
<div
x-on:toggle-ai-chat.window="open = !open"
x-show="open"
x-trap="open"
x-bind:inert="!open"
x-transition.opacity
x-cloak
key="ai-chat"
class="fixed
bottom-0 right-0 w-full h-screen
md:bottom-[7rem] md:right-10 md:w-[35rem] md:h-auto"
>
<x-button
@click="$dispatch('toggle-ai-chat')"
class="btn btn-circle btn-lg btn-primary fixed bottom-10 right-10"
>
<x-slot:label>
<x-icon name="o-sparkles" class="w-8 h-8"></x-icon>
</x-slot:label>
</x-button>
<div
x-on:toggle-ai-chat.window="open = !open"
x-show="open"
x-trap="open"
x-bind:inert="!open"
x-transition.opacity
x-cloak
key="ai-chat"
class="fixed
bottom-0 right-0 w-full h-screen
md:bottom-[7rem] md:right-10 md:w-[35rem] md:h-auto"
>
<x-card class="shadow-2xl" title="{{ __('AI Chat') }}" x-intersect="scrollChatWindow()">
{{-- close button --}}
<x-button
icon="o-x-mark"
class="absolute top-5 right-4 btn-ghost btn-circle btn-sm"
title="{{ __('Close') }}"
@click="open = false"
/>
{{-- chat window --}}
<div class="h-[25rem] overflow-y-scroll ai-chat" x-ref="chatWindow">
<div class="flex gap-3 mb-5 flex-1">
<span class="
flex
rounded-full
w-10 h-10
border border-gray-600
dark:border-gray-400
text-gray-600
dark:text-gray-400
bg-slate-200
dark:bg-slate-800
">
<x-icon name="o-sparkles" class="h-auto p-1 w-10" />
</span>
<p class="leading-relaxed w-full">
<span class="block font-bold">AI</span> {{ __('Hi, how can I help?') }}
</p>
</div>
<x-card class="shadow-2xl" title="{{ __('AI Chat') }}" x-intersect="scrollChatWindow()">
{{-- close button --}}
<x-button
icon="o-x-mark"
class="absolute top-5 right-4 btn-ghost btn-circle btn-sm"
title="{{ __('Close') }}"
@click="open = false"
/>
{{-- chat window --}}
<div class="h-[25rem] overflow-y-scroll" x-ref="chatWindow">
<div class="flex gap-3 mb-5 flex-1">
<span class="
flex
rounded-full
w-10 h-10
border border-gray-600
dark:border-gray-400
text-gray-600
dark:text-gray-400
bg-slate-200
dark:bg-slate-800
">
<x-icon name="o-sparkles" class="h-auto p-1 w-10" />
</span>
<p class="leading-relaxed w-full">
<span class="block font-bold">AI</span> {{ __('Hi, how can I help?') }}
</p>
</div>
@foreach($messages as $message)
@if ($message['role'] == 'user')
<div class="flex gap-3 mb-5 flex-1">
<span class="relative flex shrink-0 overflow-hidden rounded-full w-10 h-10">
<x-avatar :image="auth()->user()->profile_photo_url" class="!w-10" />
</span>
<p class="leading-relaxed">
<span class="block font-bold ">{{ __('You') }} </span> {{ $message['content'] }}
</p>
</div>
@else
<div class="flex gap-3 mb-5 flex-1">
<span class="
flex
rounded-full
w-10 h-10
border border-gray-600
dark:border-gray-400
text-gray-600
dark:text-gray-400
bg-slate-200
dark:bg-slate-800
">
<x-icon name="o-sparkles" class="h-auto p-1 w-10" />
</span>
<p class="leading-relaxed" >
<span class="block font-bold ">AI </span> {{ $message['content'] }}
</p>
</div>
@endif
@endforeach
@if($streaming)
<div class="flex gap-3 mb-10 flex-1">
@foreach($messages as $message)
@if ($message['role'] == 'user')
<div class="flex gap-3 mb-5 flex-1">
<span class="relative flex shrink-0 overflow-hidden rounded-full w-10 h-10">
<x-avatar :image="auth()->user()->profile_photo_url" class="!w-10" />
</span>
<p class="leading-relaxed">
<span class="block font-bold ">{{ __('You') }} </span> {{ $message['content'] }}
</p>
</div>
@else
<div class="flex gap-3 mb-5 flex-1">
<span class="
flex
rounded-full
@@ -240,51 +217,73 @@
">
<x-icon name="o-sparkles" class="h-auto p-1 w-10" />
</span>
<p class="leading-relaxed" >
<span class="block font-bold ">AI </span> <span wire:stream="answer">{{ $answer }}</span>
</p>
<div class="leading-relaxed" >
<span class="block font-bold ">AI </span> {!! Str::markdown($message['content']) !!}
</div>
</div>
@endif
@endforeach
@if($streaming)
<div class="flex gap-3 mb-10 flex-1">
<span class="
flex
rounded-full
w-10 h-10
border border-gray-600
dark:border-gray-400
text-gray-600
dark:text-gray-400
bg-slate-200
dark:bg-slate-800
">
<x-icon name="o-sparkles" class="h-auto p-1 w-10" />
</span>
<p class="leading-relaxed" >
<span class="block font-bold ">AI </span> <span wire:stream="answer">{{ $answer }}</span>
</p>
</div>
@endif
</div>
{{-- prompt input --}}
<form submit="startCompletion" class="mt-3">
<div class="">
@foreach($suggested_prompts as $prompt)
<x-button
class="btn-xs btn-primary btn-outline mr-1 mb-2"
label="{{ $prompt['text'] }}"
wire:click="startCompletion('{{ $prompt['value'] }}')"
/>
@endforeach
</div>
{{-- prompt input --}}
<form submit="startCompletion" class="mt-3">
<div class="">
@foreach($suggested_prompts as $prompt)
<x-button
class="btn-xs btn-primary btn-outline mr-1 mb-2"
label="{{ $prompt['text'] }}"
wire:click="startCompletion('{{ $prompt['value'] }}')"
/>
@endforeach
</div>
<div class="flex justify-between align-bottom space-x-2 mt-1">
<div class="w-full">
<x-textarea
wire:model="prompt"
class="h-24 resize-none "
placeholder="{{ __('Have a question? AI might be able to help...') }}"
wire:keydown.enter.prevent="startCompletion"
></x-textarea>
</div>
<x-button
spinner="generate"
wire:click="startCompletion"
class="btn btn-ghost h-24"
icon="o-paper-airplane"
></x-button>
</div>
<div class="flex justify-between align-bottom space-x-2 mt-1">
<div class="w-full mt-2">
<p class="text-xs text-secondary leading-tight">{{ __('Advice generated by AI may contain errors. Use at your own risk. Always consult a licensed investment advisor.') }} </p>
<div class="w-full">
<x-textarea
wire:model="prompt"
class="h-24 resize-none "
placeholder="{{ __('Have a question? AI might be able to help...') }}"
wire:keydown.enter.prevent="startCompletion"
></x-textarea>
</div>
</form>
</x-card>
</div>
<x-button
spinner="generate"
wire:click="startCompletion"
class="btn btn-ghost h-24"
icon="o-paper-airplane"
></x-button>
</div>
<div class="w-full mt-2">
<p class="text-xs text-secondary leading-tight">{{ __('Advice generated by AI may contain errors. Use at your own risk. Always consult a licensed investment advisor.') }} </p>
</div>
</form>
</x-card>
</div>
</div>
+1 -1
View File
@@ -174,7 +174,7 @@
Based on the current market data, quantity owned, and average cost basis, you can determine the performance of any holding.
Below is the question from the investor. Considering these facts, provide a concise response to the following question (give a direct response). Limit your response to no more than 75 words and consider using a common decision framework:"
Below is the question from the investor. Considering these facts, provide a concise response to the following question (give a direct response). Limit your response to no more than 75 words and consider using a common decision framework. Use github style markdown for any formatting:"
])
</div>