core[patch]: simple prompt pretty printing (langchain-ai#15968)

libs/core/langchain_core/messages/base.py

@@ -4,6 +4,8 @@
 
 from langchain_core.load.serializable import Serializable
 from langchain_core.pydantic_v1 import Extra, Field
+from langchain_core.utils import get_bolded_text
+from langchain_core.utils.interactive_env import is_interactive_env
 
 if TYPE_CHECKING:
     from langchain_core.prompts.chat import ChatPromptTemplate
@@ -42,6 +44,14 @@ def __add__(self, other: Any) -> ChatPromptTemplate:
         prompt = ChatPromptTemplate(messages=[self])
         return prompt + other
 
+    def pretty_repr(self, html: bool = False) -> str:
+        title = get_msg_title_repr(self.type.title() + " Message", bold=html)
+        # TODO: handle non-string content.
+        return f"{title}\n\n{self.content}"
+
+    def pretty_print(self) -> None:
+        print(self.pretty_repr(html=is_interactive_env()))
+
 
 def merge_content(
     first_content: Union[str, List[Union[str, Dict]]],
@@ -176,3 +186,13 @@ def messages_to_dict(messages: Sequence[BaseMessage]) -> List[dict]:
         List of messages as dicts.
     """
     return [message_to_dict(m) for m in messages]
+
+
+def get_msg_title_repr(title: str, *, bold: bool = False) -> str:
+    padded = " " + title + " "
+    sep_len = (80 - len(padded)) // 2
+    sep = "=" * sep_len
+    second_sep = sep + "=" if len(padded) % 2 else sep
+    if bold:
+        padded = get_bolded_text(padded)
+    return f"{sep}{padded}{second_sep}"

libs/core/langchain_core/prompts/chat.py

@@ -28,11 +28,14 @@
     HumanMessage,
     SystemMessage,
 )
+from langchain_core.messages.base import get_msg_title_repr
 from langchain_core.prompt_values import ChatPromptValue, PromptValue
 from langchain_core.prompts.base import BasePromptTemplate
 from langchain_core.prompts.prompt import PromptTemplate
 from langchain_core.prompts.string import StringPromptTemplate
 from langchain_core.pydantic_v1 import Field, root_validator
+from langchain_core.utils import get_colored_text
+from langchain_core.utils.interactive_env import is_interactive_env
 
 
 class BaseMessagePromptTemplate(Serializable, ABC):
@@ -68,6 +71,13 @@ def input_variables(self) -> List[str]:
             List of input variables.
         """
 
+    def pretty_repr(self, html: bool = False) -> str:
+        """Human-readable representation."""
+        raise NotImplementedError
+
+    def pretty_print(self) -> None:
+        print(self.pretty_repr(html=is_interactive_env()))
+
     def __add__(self, other: Any) -> ChatPromptTemplate:
         """Combine two prompt templates.
 
@@ -95,9 +105,7 @@ def get_lc_namespace(cls) -> List[str]:
         return ["langchain", "prompts", "chat"]
 
     def __init__(self, variable_name: str, *, optional: bool = False, **kwargs: Any):
-        return super().__init__(
-            variable_name=variable_name, optional=optional, **kwargs
-        )
+        super().__init__(variable_name=variable_name, optional=optional, **kwargs)
 
     def format_messages(self, **kwargs: Any) -> List[BaseMessage]:
         """Format messages from kwargs.
@@ -135,6 +143,15 @@ def input_variables(self) -> List[str]:
         """
         return [self.variable_name] if not self.optional else []
 
+    def pretty_repr(self, html: bool = False) -> str:
+        var = "{" + self.variable_name + "}"
+        if html:
+            title = get_msg_title_repr("Messages Placeholder", bold=True)
+            var = get_colored_text(var, "yellow")
+        else:
+            title = get_msg_title_repr("Messages Placeholder")
+        return f"{title}\n\n{var}"
+
 
 MessagePromptTemplateT = TypeVar(
     "MessagePromptTemplateT", bound="BaseStringMessagePromptTemplate"
@@ -237,6 +254,12 @@ def input_variables(self) -> List[str]:
         """
         return self.prompt.input_variables
 
+    def pretty_repr(self, html: bool = False) -> str:
+        # TODO: Handle partials
+        title = self.__class__.__name__.replace("MessagePromptTemplate", " Message")
+        title = get_msg_title_repr(title, bold=html)
+        return f"{title}\n\n{self.prompt.pretty_repr(html=html)}"
+
 
 class ChatMessagePromptTemplate(BaseStringMessagePromptTemplate):
     """Chat message prompt template."""
@@ -369,6 +392,13 @@ def format_prompt(self, **kwargs: Any) -> PromptValue:
     def format_messages(self, **kwargs: Any) -> List[BaseMessage]:
         """Format kwargs into a list of messages."""
 
+    def pretty_repr(self, html: bool = False) -> str:
+        """Human-readable representation."""
+        raise NotImplementedError
+
+    def pretty_print(self) -> None:
+        print(self.pretty_repr(html=is_interactive_env()))
+
 
 MessageLike = Union[BaseMessagePromptTemplate, BaseMessage, BaseChatPromptTemplate]
 
@@ -701,6 +731,10 @@ def save(self, file_path: Union[Path, str]) -> None:
         """
         raise NotImplementedError()
 
+    def pretty_repr(self, html: bool = False) -> str:
+        # TODO: handle partials
+        return "\n\n".join(msg.pretty_repr(html=html) for msg in self.messages)
+
 
 def _create_template_from_message_type(
     message_type: str, template: str

libs/core/langchain_core/prompts/few_shot.py

@@ -340,3 +340,6 @@ def format(self, **kwargs: Any) -> str:
         """
         messages = self.format_messages(**kwargs)
         return get_buffer_string(messages)
+
+    def pretty_repr(self, html: bool = False) -> str:
+        raise NotImplementedError()

libs/core/langchain_core/prompts/string.py

@@ -8,7 +8,9 @@
 
 from langchain_core.prompt_values import PromptValue, StringPromptValue
 from langchain_core.prompts.base import BasePromptTemplate
+from langchain_core.utils import get_colored_text
 from langchain_core.utils.formatting import formatter
+from langchain_core.utils.interactive_env import is_interactive_env
 
 
 def jinja2_formatter(template: str, **kwargs: Any) -> str:
@@ -159,3 +161,17 @@ def get_lc_namespace(cls) -> List[str]:
     def format_prompt(self, **kwargs: Any) -> PromptValue:
         """Create Chat Messages."""
         return StringPromptValue(text=self.format(**kwargs))
+
+    def pretty_repr(self, html: bool = False) -> str:
+        # TODO: handle partials
+        dummy_vars = {
+            input_var: "{" + f"{input_var}" + "}" for input_var in self.input_variables
+        }
+        if html:
+            dummy_vars = {
+                k: get_colored_text(v, "yellow") for k, v in dummy_vars.items()
+            }
+        return self.format(**dummy_vars)
+
+    def pretty_print(self) -> None:
+        print(self.pretty_repr(html=is_interactive_env()))

libs/core/langchain_core/utils/interactive_env.py

@@ -0,0 +1,5 @@
+def is_interactive_env() -> bool:
+    """Determine if running within IPython or Jupyter."""
+    import sys
+
+    return hasattr(sys, "ps2")

libs/experimental/langchain_experimental/autonomous_agents/autogpt/prompt.py

@@ -101,3 +101,6 @@ def format_messages(self, **kwargs: Any) -> List[BaseMessage]:
         messages += historical_messages
         messages.append(input_message)
         return messages
+
+    def pretty_repr(self, html: bool = False) -> str:
+        raise NotImplementedError