[MINOR] Doc fix

Author: zjffdu

adalflow/adalflow/core/prompt_builder.py

@@ -1,4 +1,4 @@
-"""Class prompt builder for LightRAG system prompt."""
+"""Class prompt builder for AdalFlow system prompt."""
 
 from typing import Dict, Any, Optional, List, TypeVar
 import logging
@@ -20,10 +20,10 @@
 class Prompt(Component):
     __doc__ = r"""Renders a text string(prompt) from a Jinja2 template string.
 
-    In default, we use the :ref:`DEFAULT_LIGHTRAG_SYSTEM_PROMPT<core-default_prompt_template>`  as the template.
+    In default, we use the :ref:`DEFAULT_ADALFLOW_SYSTEM_PROMPT<core-default_prompt_template>`  as the template.
 
     Args:
-        template (str, optional): The Jinja2 template string. Defaults to DEFAULT_LIGHTRAG_SYSTEM_PROMPT.
+        template (str, optional): The Jinja2 template string. Defaults to DEFAULT_ADALFLOW_SYSTEM_PROMPT.
         preset_prompt_kwargs (Optional[Dict], optional): The preset prompt kwargs to fill in the variables in the prompt. Defaults to {}.
 
     Examples:

docs/source/tutorials/tool_helper.rst

@@ -510,8 +510,8 @@ We will use :class:`components.output_parsers.outputs.JsonOutputParser` to strea
 
     from adalflow.components.output_parsers import JsonOutputParser
 
-    func_parser = JsonOutputParser(data_class=Function)
-    instructions = func_parser.format_instructions(exclude=["thought", "args"])
+    func_parser = JsonOutputParser(data_class=Function, exclude_fields=["thought", "args"])
+    instructions = func_parser.format_instructions()
     print(instructions)
 
 The output is:
@@ -542,9 +542,7 @@ Now, let's prepare our generator with the above prompt, ``Function`` data class,
     model_kwargs = {"model": "gpt-3.5-turbo"}
     prompt_kwargs = {
         "tools": tool_manager.yaml_definitions,
-        "output_format_str": func_parser.format_instructions(
-            exclude=["thought", "args"]
-        ),
+        "output_format_str": func_parser.format_instructions(),
     }
     generator = Generator(
         model_client=ModelClientType.OPENAI(),