feat(weave): simple prompt classes

docs/sidebars.ts

@@ -64,7 +64,7 @@ const sidebars: SidebarsConfig = {
             "guides/evaluation/scorers",
           ],
         },
-        // "guides/core-types/prompts",
+        "guides/core-types/prompts",
         "guides/core-types/models",
         "guides/core-types/datasets",
         "guides/tracking/feedback",

tests/trace/test_prompt.py

@@ -2,22 +2,21 @@
 
 
 def test_stringprompt_format():
-    class MyPrompt(StringPrompt):
-        def format(self, **kwargs) -> str:
-            return "Imagine a lot of complicated logic build this string."
-
-    prompt = MyPrompt()
-    assert prompt.format() == "Imagine a lot of complicated logic build this string."
+    prompt = StringPrompt("You are a pirate. Tell us your thoughts on {topic}.")
+    assert (
+        prompt.format(topic="airplanes")
+        == "You are a pirate. Tell us your thoughts on airplanes."
+    )
 
 
 def test_messagesprompt_format():
-    class MyPrompt(MessagesPrompt):
-        def format(self, **kwargs) -> list:
-            return [
-                {"role": "user", "content": "What's 23 * 42"},
-            ]
-
-    prompt = MyPrompt()
-    assert prompt.format() == [
-        {"role": "user", "content": "What's 23 * 42"},
+    prompt = MessagesPrompt(
+        [
+            {"role": "system", "content": "You are a pirate."},
+            {"role": "user", "content": "Tell us your thoughts on {topic}."},
+        ]
+    )
+    assert prompt.format(topic="airplanes") == [
+        {"role": "system", "content": "You are a pirate."},
+        {"role": "user", "content": "Tell us your thoughts on airplanes."},
     ]

weave-js/src/components/FancyPage/useProjectSidebar.ts

@@ -170,13 +170,13 @@ export const useProjectSidebar = (
             key: 'dividerWithinWeave-2',
             isShown: isWeaveOnly,
           },
-          // {
-          //   type: 'button' as const,
-          //   name: 'Prompts',
-          //   slug: 'weave/prompts',
-          //   isShown: showWeaveSidebarItems || isShowAll,
-          //   iconName: IconNames.ForumChatBubble,
-          // },
+          {
+            type: 'button' as const,
+            name: 'Prompts',
+            slug: 'weave/prompts',
+            isShown: showWeaveSidebarItems || isShowAll,
+            iconName: IconNames.ForumChatBubble,
+          },
           {
             type: 'button' as const,
             name: 'Models',

weave-js/src/components/PagePanelComponents/Home/Browse3/pages/TabUsePrompt.tsx

@@ -30,37 +30,6 @@ export const TabUsePrompt = ({
   const isParentObject = !ref.artifactRefExtra;
   const label = isParentObject ? 'prompt version' : 'prompt';
 
-  // TODO: Simplify if no params.
-  const longExample = `import weave
-from openai import OpenAI
-
-weave.init("${projectName}")
-
-${pythonName} = weave.ref("${uri}").get()
-
-class MyModel(weave.Model):
-  model_name: str
-  prompt: weave.Prompt
-
-  @weave.op
-  def predict(self, params: dict) -> dict:
-      client = OpenAI()
-      response = client.chat.completions.create(
-          model=self.model_name,
-          messages=self.prompt.bind(params),
-      )
-      result = response.choices[0].message.content
-      if result is None:
-          raise ValueError("No response from model")
-      return result
-
-mymodel = MyModel(model_name="gpt-3.5-turbo", prompt=${pythonName})
-
-# Replace with desired parameter values
-params = ${JSON.stringify({}, null, 2)}
-print(mymodel.predict(params))
-`;
-
   return (
     <Box className="text-sm">
       <Alert icon="lightbulb-info">
@@ -85,15 +54,6 @@ print(mymodel.predict(params))
           tooltipText="Click to copy unabridged string"
         />
       </Box>
-
-      <Box mt={2}>A more complete example:</Box>
-      <Box mt={2}>
-        <CopyableText
-          text={longExample}
-          copyText={longExample}
-          tooltipText="Click to copy unabridged string"
-        />
-      </Box>
     </Box>
   );
 };

weave/flow/prompt/prompt.py

@@ -73,17 +73,52 @@ def color_content(content: str, values: dict) -> str:
 
 class Prompt(Object):
     def format(self, **kwargs: Any) -> Any:
-        raise NotImplemented
+        raise NotImplementedError("Subclasses must implement format()")
 
 
-class MessagesPrompt(Prompt):
-    def format(self, **kwargs: Any) -> list:
-        raise NotImplemented
+class StringPrompt(Prompt):
+    content: str = ""
 
+    def __init__(self, content: str):
+        super().__init__()
+        self.content = content
 
-class StringPrompt(Prompt):
     def format(self, **kwargs: Any) -> str:
-        raise NotImplemented
+        return self.content.format(**kwargs)
+
+    @staticmethod
+    def from_obj(obj: Any) -> "StringPrompt":
+        prompt = StringPrompt(content=obj.content)
+        prompt.name = obj.name
+        prompt.description = obj.description
+        return prompt
+
+
+class MessagesPrompt(Prompt):
+    messages: list[dict] = Field(default_factory=list)
+
+    def __init__(self, messages: list[dict]):
+        super().__init__()
+        self.messages = messages
+
+    def format_message(self, message: dict, **kwargs: Any) -> dict:
+        m = {}
+        for k, v in message.items():
+            if isinstance(v, str):
+                m[k] = v.format(**kwargs)
+            else:
+                m[k] = v
+        return m
+
+    def format(self, **kwargs: Any) -> list:
+        return [self.format_message(m, **kwargs) for m in self.messages]
+
+    @staticmethod
+    def from_obj(obj: Any) -> "MessagesPrompt":
+        prompt = MessagesPrompt(messages=obj.messages)
+        prompt.name = obj.name
+        prompt.description = obj.description
+        return prompt
 
 
 class EasyPrompt(UserList, Prompt):

weave/trace/refs.py

@@ -173,6 +173,18 @@ def objectify(self, obj: Any) -> Any:
             # version number or latest alias resolved to a specific digest.
             prompt.__dict__["ref"] = obj.ref
             return prompt
+        if "StringPrompt" == class_name:
+            from weave.flow.prompt.prompt import StringPrompt
+
+            prompt = StringPrompt.from_obj(obj)
+            prompt.__dict__["ref"] = obj.ref
+            return prompt
+        if "MessagesPrompt" == class_name:
+            from weave.flow.prompt.prompt import MessagesPrompt
+
+            prompt = MessagesPrompt.from_obj(obj)
+            prompt.__dict__["ref"] = obj.ref
+            return prompt
         return obj
 
     def get(self) -> Any: