deploy: 789bc47

_sources/getting_started.rst.txt

@@ -98,7 +98,7 @@ While the previous example used the docstring for the system message and the ret
     greeting = hello("Sam Altman")
     print(greeting)
 
-This approach allows you to construct more complex conversations within your LMP. Importantly, you'll want to use this approach when you have a variable system prompt because python only allows you to have a static system prompt.
+This approach allows you to construct more complex conversations within your LMP. Importantly, you'll want to use this approach when you have a variable system prompt because python only allows you to have a static docstring.
 
 Prompting as Language Model Programming
 ----------------------------------------

getting_started.html

@@ -305,7 +305,7 @@ <h3>Alternative Message Formats<a class="headerlink" href="#alternative-message-
 </span><span id="line-13"><span class="nb">print</span><span class="p">(</span><span class="n">greeting</span><span class="p">)</span>
 </span></code></pre></div>
 </div>
-<p>This approach allows you to construct more complex conversations within your LMP. Importantly, you’ll want to use this approach when you have a variable system prompt because python only allows you to have a static system prompt.</p>
+<p>This approach allows you to construct more complex conversations within your LMP. Importantly, you’ll want to use this approach when you have a variable system prompt because python only allows you to have a static docstring.</p>
 </section>
 </section>
 <section id="prompting-as-language-model-programming">