feat: anthropic system prompt clean up (instructor-ai#523)

Co-authored-by: Jason Liu <[email protected]>

.gitignore

@@ -162,6 +162,8 @@ cython_debug/
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 .idea/
 
+.vscode/
+
 examples/citation_with_extraction/fly.toml
 my_cache_directory/
 tutorials/wandb/*

instructor/function_calls.py

@@ -1,4 +1,5 @@
 from typing import Any, Dict, Optional, Type, TypeVar
+from xml.dom.minidom import parseString
 from docstring_parser import parse
 from functools import wraps
 from pydantic import BaseModel, create_model
@@ -61,8 +62,9 @@ def openai_schema(cls) -> Dict[str, Any]:
     @classmethod
     @property
     def anthropic_schema(cls) -> str:
-        from instructor.anthropic_utils import json_to_xml, extract_xml, xml_to_model
-        return json_to_xml(cls)
+        from instructor.anthropic_utils import json_to_xml
+        return "\n".join(line.lstrip() for line in parseString(json_to_xml(cls)).toprettyxml().splitlines()[1:])
+
 
     @classmethod
     def from_response(

instructor/process_response.py

@@ -29,7 +29,6 @@
 
 from instructor.mode import Mode
 
-
 logger = logging.getLogger("instructor")
 
 T_Model = TypeVar("T_Model", bound=BaseModel)
@@ -284,8 +283,7 @@ def handle_response_model(
         elif mode == Mode.ANTHROPIC_TOOLS:
             tool_descriptions = response_model.anthropic_schema
             system_prompt = dedent(
-                f"""
-                In this environment you have access to a set of tools you can use to answer the user's question.
+                f"""In this environment you have access to a set of tools you can use to answer the user's question.
                 You may call them like this:
                 <function_calls>
                 <invoke>
@@ -297,9 +295,8 @@ def handle_response_model(
                 </invoke>
                 </function_calls>
 
-                Here are the tools available:\n{tool_descriptions}
-                """
-            )
+                Here are the tools available:""") + tool_descriptions
+
             if "system" in new_kwargs:
                 new_kwargs["system"] = f"{system_prompt}\n{new_kwargs['system']}"
             else: