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| <div class="description"> | |
| Engineering prompts | |
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| <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! --> | |
| <p>Setup env</p> | |
| <div class="cell"> | |
| <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> 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="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>load_dotenv()</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>True</code></pre> | |
| </div> | |
| </div> | |
| <p>Evaluate chat backend</p> | |
| <div class="cell"> | |
| <div class="sourceCode cell-code" id="cb4"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>chat <span class="op">=</span> PromptLayerChatOpenAI(temperature<span class="op">=</span><span class="dv">1</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="cb4-2"><a href="#cb4-2" 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="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>chat_msgs <span class="op">=</span> init_prompt.format_prompt(</span> | |
| <span id="cb4-4"><a href="#cb4-4" 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="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a> allergies<span class="op">=</span><span class="st">""</span>,</span> | |
| <span id="cb4-6"><a href="#cb4-6" 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="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a>)</span> | |
| <span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a></span> | |
| <span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a>chat_msgs <span class="op">=</span> chat_msgs.to_messages()</span> | |
| <span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a>results <span class="op">=</span> chat.generate([chat_msgs])</span> | |
| <span id="cb4-11"><a href="#cb4-11" aria-hidden="true" tabindex="-1"></a>chat_msgs.extend(</span> | |
| <span id="cb4-12"><a href="#cb4-12" aria-hidden="true" tabindex="-1"></a> [</span> | |
| <span id="cb4-13"><a href="#cb4-13" aria-hidden="true" tabindex="-1"></a> results.generations[<span class="dv">0</span>][<span class="dv">0</span>].message,</span> | |
| <span id="cb4-14"><a href="#cb4-14" aria-hidden="true" tabindex="-1"></a> MessagesPlaceholder(variable_name<span class="op">=</span><span class="st">"history"</span>),</span> | |
| <span id="cb4-15"><a href="#cb4-15" 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="cb4-16"><a href="#cb4-16" aria-hidden="true" tabindex="-1"></a> ]</span> | |
| <span id="cb4-17"><a href="#cb4-17" aria-hidden="true" tabindex="-1"></a>)</span> | |
| <span id="cb4-18"><a href="#cb4-18" aria-hidden="true" tabindex="-1"></a>open_prompt <span class="op">=</span> ChatPromptTemplate.from_messages(chat_msgs)</span> | |
| <span id="cb4-19"><a href="#cb4-19" aria-hidden="true" tabindex="-1"></a>conversation <span class="op">=</span> ConversationChain(</span> | |
| <span id="cb4-20"><a href="#cb4-20" 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="cb4-21"><a href="#cb4-21" aria-hidden="true" tabindex="-1"></a>)</span> | |
| <span id="cb4-22"><a href="#cb4-22" aria-hidden="true" tabindex="-1"></a></span> | |
| <span id="cb4-23"><a href="#cb4-23" aria-hidden="true" tabindex="-1"></a>result <span class="op">=</span> conversation.predict(<span class="bu">input</span><span class="op">=</span><span class="st">"Recommend a different recipe please."</span>)</span> | |
| <span id="cb4-24"><a href="#cb4-24" 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-stderr"> | |
| <pre><code>Anthropic module not found. Install with `pip install anthropic`. | |
| WARNING: While logging your request PromptLayer had the following error: Invalid API key, please check your PromptLayer API key and try again | |
| WARNING: While logging your request PromptLayer had the following error: Invalid API key, please check your PromptLayer API key and try again</code></pre> | |
| </div> | |
| <div class="cell-output cell-output-stdout"> | |
| <pre><code> | |
| > Entering new ConversationChain chain... | |
| Prompt after formatting: | |
| System: The following is a conversation between a human and a friendly AI chef. | |
| The AI is compassionate to animals and only recommends vegan recipes based on the ingredients, allergies, and other preferences the human has. | |
| 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 | |
| Let's think step by step. | |
| If the human messages are unrelated to vegan recipes, remind them of your purpose to recommend vegan recipes. | |
| 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: Give me a vegan recipe that includes at least a few of the ingredients provided (if any). | |
| Respect the human's allergies (if any). | |
| Follow these other preferences as closely as possible if they are inline with your purpose of recommending vegan recipes: | |
| ### | |
| Preferences: The preparation time should be less than 30 minutes. I really love Thai food! | |
| ### | |
| Output format: | |
| **Vegan recipe name** | |
| Preparation time (humanized) | |
| Ingredients (List of ingredients with quantities): | |
| - <quantity and unit> <ingredient> | |
| Steps (detailed): | |
| 1. | |
| 2. | |
| 3. | |
| ... | |
| AI: Here is a Thai-inspired vegan recipe for you: | |
| **Thai Tofu Lettuce Wraps** | |
| Preparation time: Less than 30 minutes | |
| Ingredients: | |
| - 1/2 block of firm tofu, crumbled | |
| - 1/4 cup pickles, chopped | |
| - 1/4 cup olives, sliced | |
| - 1/2 bell pepper, sliced | |
| - 1/2 carrot, finely chopped | |
| - 4-6 lettuce leaves | |
| - 2 tablespoons soy sauce | |
| - 1 tablespoon rice vinegar | |
| - 1 tablespoon agave nectar | |
| - 1/2 tablespoon garlic powder | |
| - 1/2 tablespoon onion powder | |
| - 1/2 teaspoon dried basil | |
| - 1/2 teaspoon dried oregano | |
| - 1/2 teaspoon salt | |
| - 1/4 teaspoon black pepper | |
| - 4-6 slices of bread, toasted | |
| Steps: | |
| 1. In a large bowl, combine crumbled tofu, pickles, olives, bell pepper, and carrot. | |
| 2. In a small bowl, whisk together soy sauce, rice vinegar, agave nectar, garlic powder, onion powder, basil, oregano, salt, and black pepper. | |
| 3. Pour the dressing over the tofu mixture, and stir until everything is coated. | |
| 4. Place a spoonful of the tofu mixture into each lettuce leaf, and serve with a slice of toasted bread. | |
| Human: Recommend a different recipe please. | |
| > Finished chain. | |
| Sure, how about this recipe that incorporates more of the ingredients you provided? | |
| **Vegan Mediterranean Tofu Sandwich** | |
| Preparation time: Less than 30 minutes | |
| Ingredients: | |
| - 1/2 block of firm tofu, sliced | |
| - 2 teaspoons olive oil | |
| - 1/2 teaspoon dried oregano | |
| - 1/2 teaspoon dried basil | |
| - Salt and pepper to taste | |
| - 2 slices of bread | |
| - 1/4 cup hummus | |
| - 2-3 lettuce leaves | |
| - 1/4 cup sliced tomatoes | |
| - 1/4 cup sliced bell peppers | |
| - 1/4 cup grated carrot | |
| Steps: | |
| 1. Preheat the oven to 375°F. | |
| 2. In a small bowl, mix olive oil, oregano, basil, salt, and pepper, and place tofu slices on a baking sheet. Brush tofu with the olive oil mixture, covering both sides. | |
| 3. Place the baking sheet in the oven and bake the tofu for 15 minutes, flipping the slices halfway through. | |
| 4. Toast the bread slices. | |
| 5. Spread the hummus on one slice of bread, and layer lettuce, tomatoes, bell peppers, grated carrot, and baked tofu on top. Top with the other slice of bread. | |
| 6. Slice the sandwich in half, and enjoy!</code></pre> | |
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| 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 --> | |
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