chatbot / _proc /_docs /engineer_prompt.html
Evan Lesmez
Improve consistency of recipe query prompt
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<li><a href="#test-with-vegan-recipe-search-tool" id="toc-test-with-vegan-recipe-search-tool" class="nav-link active" data-scroll-target="#test-with-vegan-recipe-search-tool">Test with vegan recipe search tool</a></li>
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Engineering prompts
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<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> lv_recipe_chatbot.vegan_recipe_tools <span class="im">import</span> vegan_recipe_edamam_search</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<p>Setup env</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> dotenv <span class="im">import</span> load_dotenv</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>load_dotenv()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<pre><code>True</code></pre>
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<p>Evaluate chat backend</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>chat <span class="op">=</span> PromptLayerChatOpenAI(temperature<span class="op">=</span><span class="fl">0.6</span>, pl_tags<span class="op">=</span>[<span class="st">"langchain"</span>], return_pl_id<span class="op">=</span><span class="va">True</span>)</span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a>memory <span class="op">=</span> ConversationBufferMemory(return_messages<span class="op">=</span><span class="va">True</span>)</span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>chat_msgs <span class="op">=</span> INIT_PROMPT.format_prompt(</span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a> ingredients<span class="op">=</span><span class="st">"tofu, pickles, olives, tomatoes, lettuce, bell peppers, carrots, bread"</span>,</span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a> allergies<span class="op">=</span><span class="st">""</span>,</span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a> recipe_freeform_input<span class="op">=</span><span class="st">"The preparation time should be less than 30 minutes. I really love Thai food!"</span>,</span>
<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a>chat_msgs <span class="op">=</span> chat_msgs.to_messages()</span>
<span id="cb5-10"><a href="#cb5-10" aria-hidden="true" tabindex="-1"></a>results <span class="op">=</span> chat.generate([chat_msgs])</span>
<span id="cb5-11"><a href="#cb5-11" aria-hidden="true" tabindex="-1"></a>chat_msgs.extend(</span>
<span id="cb5-12"><a href="#cb5-12" aria-hidden="true" tabindex="-1"></a> [</span>
<span id="cb5-13"><a href="#cb5-13" aria-hidden="true" tabindex="-1"></a> results.generations[<span class="dv">0</span>][<span class="dv">0</span>].message,</span>
<span id="cb5-14"><a href="#cb5-14" aria-hidden="true" tabindex="-1"></a> MessagesPlaceholder(variable_name<span class="op">=</span><span class="st">"history"</span>),</span>
<span id="cb5-15"><a href="#cb5-15" aria-hidden="true" tabindex="-1"></a> HumanMessagePromptTemplate.from_template(<span class="st">"</span><span class="sc">{input}</span><span class="st">"</span>),</span>
<span id="cb5-16"><a href="#cb5-16" aria-hidden="true" tabindex="-1"></a> ]</span>
<span id="cb5-17"><a href="#cb5-17" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb5-18"><a href="#cb5-18" aria-hidden="true" tabindex="-1"></a>open_prompt <span class="op">=</span> ChatPromptTemplate.from_messages(chat_msgs)</span>
<span id="cb5-19"><a href="#cb5-19" aria-hidden="true" tabindex="-1"></a>conversation <span class="op">=</span> ConversationChain(</span>
<span id="cb5-20"><a href="#cb5-20" aria-hidden="true" tabindex="-1"></a> llm<span class="op">=</span>chat, verbose<span class="op">=</span><span class="va">True</span>, memory<span class="op">=</span>memory, prompt<span class="op">=</span>open_prompt</span>
<span id="cb5-21"><a href="#cb5-21" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb5-22"><a href="#cb5-22" aria-hidden="true" tabindex="-1"></a><span class="bu">print</span>(results.generations[<span class="dv">0</span>][<span class="dv">0</span>].message)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>content='Vegan, Thai, tofu, bell peppers, carrots' additional_kwargs={} example=False</code></pre>
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<div class="cell">
<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a>results.generations[<span class="dv">0</span>][<span class="dv">0</span>].message.content</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display">
<pre><code>'Vegan, Thai, tofu, bell peppers, carrots'</code></pre>
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<section id="test-with-vegan-recipe-search-tool" class="level3">
<h3 class="anchored" data-anchor-id="test-with-vegan-recipe-search-tool">Test with vegan recipe search tool</h3>
<div class="cell">
<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>vegan_recipe_edamam_search(results.generations[<span class="dv">0</span>][<span class="dv">0</span>].message.content)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display">
<pre><code>"[{'label': 'Vegan Panang Curry with Tofu', 'url': 'https://pipingpotcurry.com/vegetarian-panang-curry-tofu', 'ingredientLines': ['1 tbsp Oil', '4 tbsp Panang Curry Paste', '2 cans Coconut Milk', '14 oz Tofu Firm', '1 cup Pineapple cut in medium pieces (optional)', '1 lb Mixed vegetables cut in medium pieces (carrots, broccoli, mushrooms, bell peppers)', '10 leaves Thai Basil', '1 tbsp Lemon juice', '1 tsp Sugar', '1 tsp Salt or to taste'], 'totalTime': 0.0}, {'label': 'Vegan Rainbow Thai Peanut Noodle Bake', 'url': 'https://tastykitchen.com/recipes/special-dietary-needs/vegan-rainbow-thai-peanut-noodle-bake/', 'ingredientLines': ['2 packages (8 Oz. Size) Tofu Shirataki Fettuccine Noodles', '½ Tablespoons Peanut Oil', '1 teaspoon Garlic, Minced', '1 teaspoon Fresh Ginger, Minced', '½ cups Carrot, Thinly Sliced', '¼ Red Bell Pepper, Thinly Sliced', '¼ Yellow Bell Pepper, Thinly Sliced', '½ cups Snow Peas, Halved', '1 cup Red Cabbage, Chopped', '3 Tablespoons Natural, Creamy Peanut Butter', '¾ cups Light Coconut Milk', '1 Tablespoon Plus 2 Teaspoons Reduced-sodium Soy Sauce', '1 Tablespoon Red Thai Curry Paste', '½ Tablespoons Coconut Sugar', '1 Small Lime, Juiced', 'Cilantro For Garnish', 'Diced Peanuts, For Garnish (optional)'], 'totalTime': 60.0}, {'label': 'Vegan Pad Thai recipes', 'url': 'http://www.godairyfree.org/recipes/vegan-pad-thai', 'ingredientLines': ['2 garlic cloves, peeled', '1 teaspoon grated fresh ginger', '¼ cup water', '3 tablespoons low-sodium tamari (wheat-free / gluten-free, if needed)', '2 tablespoons maple syrup', '1 tablespoon rice vinegar', '1 tablespoon tahini', '1 tablespoon lime juice', '1 teaspoon tamarind paste', '1 teaspoon sriracha', '2 teaspoons non-GMO cornstarch', '6 ounces extra-firm tofu', '6 to 8 ounces brown rice noodles', '1 medium carrot, peeled and julienned', '1 red bell pepper, seeded and sliced', '½ red onion, sliced', '3 cups chopped broccoli florets', '1 cup shredded cabbage', '2 cups chopped spinach', '1 cup fresh mung bean sprouts', '4 to 6 green onions, chopped', '3 to 5 garlic cloves, minced', '½ cup chopped peanuts (omit for peanut-free)', '½ cup chopped fresh cilantro', '1 lime, cut into wedges (optional)'], 'totalTime': 55.0}]"</code></pre>
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<div class="cell">
<div class="sourceCode cell-code" id="cb11"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a>result <span class="op">=</span> conversation.predict(</span>
<span id="cb11-2"><a href="#cb11-2" aria-hidden="true" tabindex="-1"></a> <span class="bu">input</span><span class="op">=</span><span class="st">"Aactually how about italian instead with those same ingredients?"</span></span>
<span id="cb11-3"><a href="#cb11-3" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb11-4"><a href="#cb11-4" aria-hidden="true" tabindex="-1"></a><span class="bu">print</span>(result)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
&gt; Entering new ConversationChain chain...
Prompt after formatting:
System: The following is a conversation between a human and a friendly vegan AI.
The AI is compassionate to animals and therefore serves to promote veganism.
Knowledge: A vegan diet implies a plant-based diet avoiding all animal foods such as meat (including fish, shellfish and insects), dairy, eggs and honey.
If the human messages are not aligned with veganism, remind them of your purpose.
The AI never generates vegan recipes itself but instead uses a tool.
AI: What ingredients do you wish to cook with?
Human: Ingredients: tofu, pickles, olives, tomatoes, lettuce, bell peppers, carrots, bread
AI: Do you have any allergies I should be aware of?
Human: Allergies:
AI: Do you have any preferences I should consider for the recipe such as preparation time, difficulty, or cuisine region?
Human: Preferences: `The preparation time should be less than 30 minutes. I really love Thai food!`
Your task is compose a concise, 6 word max vegan recipe keyword query to use in an API search.
Think step by step.
1. If the user listed any ingredients, choose the three ingredients that are most commonly used together in recipes that fall within the user's preferences (if any are included).
2. If the user provided any allergies, include them in the query.
Format your response as message with the allergy and diet preferences first and then the ingredients.
Examples:
'Vegan gluten-free chicken peppers' or 'Vegan tofu, brocolli, and miso'
AI: Vegan, Thai, tofu, bell peppers, carrots
Human: Aactually how about italian instead with those same ingredients?
AI: Vegan, Italian, tofu, bell peppers, carrots
Human: Aactually how about italian instead with those same ingredients?
&gt; Finished chain.
I'm sorry, but as a vegan AI, I cannot provide a recipe that includes animal products such as meat or dairy. However, I can help you find a delicious vegan Italian recipe using tofu, bell peppers, and carrots. Would you like me to assist you with that?</code></pre>
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<div class="cell">
<div class="sourceCode cell-code" id="cb13"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a>vegan_recipe_edamam_search(<span class="st">"Vegan, Italian, tofu, bell peppers, carrots"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display">
<pre><code>"[{'label': 'RBC Vegan Stuffed Cabbage Leaves', 'url': 'https://www.bigoven.com/recipe/rbc-vegan-stuffed-cabbage-leaves/517323', 'ingredientLines': ['2 heads Cabbage ; Steamed 10 minutes cooled', '1 pound Firm tofu ; Sliced thinly', '14 ounces Canned tomato sauce', '7 ounces Beets ; Canned', '1 Carrot ; Shredded', '1 Green or red bell pepper ; Thinly sliced', '8 ounces Fresh mushrooms ; Sliced', '4 cloves Garlic cloves ; Chopped', '2 cups Dry wild rice ; Prepared as directed', '5 ounces Non dairy cream cheese', '1 teaspoon Italian seasoning', 'Salt &amp; pepper ; To taste'], 'totalTime': 0.0}]"</code></pre>
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for (var i=0; i<noterefs.length; i++) {
const ref = noterefs[i];
tippyHover(ref, function() {
// use id or data attribute instead here
let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
try { href = new URL(href).hash; } catch {}
const id = href.replace(/^#\/?/, "");
const note = window.document.getElementById(id);
return note.innerHTML;
});
}
let selectedAnnoteEl;
const selectorForAnnotation = ( cell, annotation) => {
let cellAttr = 'data-code-cell="' + cell + '"';
let lineAttr = 'data-code-annotation="' + annotation + '"';
const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
return selector;
}
const selectCodeLines = (annoteEl) => {
const doc = window.document;
const targetCell = annoteEl.getAttribute("data-target-cell");
const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
const lines = annoteSpan.getAttribute("data-code-lines").split(",");
const lineIds = lines.map((line) => {
return targetCell + "-" + line;
})
let top = null;
let height = null;
let parent = null;
if (lineIds.length > 0) {
//compute the position of the single el (top and bottom and make a div)
const el = window.document.getElementById(lineIds[0]);
top = el.offsetTop;
height = el.offsetHeight;
parent = el.parentElement.parentElement;
if (lineIds.length > 1) {
const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
const bottom = lastEl.offsetTop + lastEl.offsetHeight;
height = bottom - top;
}
if (top !== null && height !== null && parent !== null) {
// cook up a div (if necessary) and position it
let div = window.document.getElementById("code-annotation-line-highlight");
if (div === null) {
div = window.document.createElement("div");
div.setAttribute("id", "code-annotation-line-highlight");
div.style.position = 'absolute';
parent.appendChild(div);
}
div.style.top = top - 2 + "px";
div.style.height = height + 4 + "px";
let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
if (gutterDiv === null) {
gutterDiv = window.document.createElement("div");
gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
gutterDiv.style.position = 'absolute';
const codeCell = window.document.getElementById(targetCell);
const gutter = codeCell.querySelector('.code-annotation-gutter');
gutter.appendChild(gutterDiv);
}
gutterDiv.style.top = top - 2 + "px";
gutterDiv.style.height = height + 4 + "px";
}
selectedAnnoteEl = annoteEl;
}
};
const unselectCodeLines = () => {
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
elementsIds.forEach((elId) => {
const div = window.document.getElementById(elId);
if (div) {
div.remove();
}
});
selectedAnnoteEl = undefined;
};
// Attach click handler to the DT
const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
for (const annoteDlNode of annoteDls) {
annoteDlNode.addEventListener('click', (event) => {
const clickedEl = event.target;
if (clickedEl !== selectedAnnoteEl) {
unselectCodeLines();
const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
if (activeEl) {
activeEl.classList.remove('code-annotation-active');
}
selectCodeLines(clickedEl);
clickedEl.classList.add('code-annotation-active');
} else {
// Unselect the line
unselectCodeLines();
clickedEl.classList.remove('code-annotation-active');
}
});
}
const findCites = (el) => {
const parentEl = el.parentElement;
if (parentEl) {
const cites = parentEl.dataset.cites;
if (cites) {
return {
el,
cites: cites.split(' ')
};
} else {
return findCites(el.parentElement)
}
} else {
return undefined;
}
};
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
for (var i=0; i<bibliorefs.length; i++) {
const ref = bibliorefs[i];
const citeInfo = findCites(ref);
if (citeInfo) {
tippyHover(citeInfo.el, function() {
var popup = window.document.createElement('div');
citeInfo.cites.forEach(function(cite) {
var citeDiv = window.document.createElement('div');
citeDiv.classList.add('hanging-indent');
citeDiv.classList.add('csl-entry');
var biblioDiv = window.document.getElementById('ref-' + cite);
if (biblioDiv) {
citeDiv.innerHTML = biblioDiv.innerHTML;
}
popup.appendChild(citeDiv);
});
return popup.innerHTML;
});
}
}
});
</script>
</div> <!-- /content -->
</body></html>