chore: readme and lint

Author: NJordan72

README.md

@@ -4,12 +4,12 @@ A set of tools to use when calling Narrative I/O LLMs. This package provides uti
 
 ## Features
 
-- REST API client with configurable authentication and parameter handling
-- Conversation state management for LLM interactions
-- JSON schema validation and enforcement for LLM outputs
-- Tool management system with support for both REST and non-REST tools
-- Caching system for format enforcers
-- Comprehensive test coverage
+- HuggingFace Inference Endpoints Handler
+- RestAPI Client
+- Conversation State Management
+- JSON Schema Validation and Enforcement
+- Tool Management System
+- Caching System for Format Enforcers
 
 ## Installation
 
@@ -19,18 +19,6 @@ You can install the package using pip:
 pip install narrative-llm-tools
 ```
 
-## Requirements
-
-- Python ≥ 3.11
-- Dependencies:
-  - requests ≥ 2.32.3
-  - pydantic ≥ 2.10.4
-  - jmespath ≥ 1.0.1
-  - lm-format-enforcer ≥ 0.10.9
-  - cachetools ≥ 5.5.0
-  - transformers ≥ 4.47.1
-  - torch == 2.5.1
-
 ## License
 
 MIT License

narrative_llm_tools/handlers/huggingface.py

@@ -294,7 +294,9 @@ def __call__(self, data: dict[str, Any]) -> dict[str, Any]:
                 if not isinstance(tool_call, dict):
                     raise ModelOutputError("Model output is not a list of tool calls.")
 
-            return HandlerResponse(tool_calls=return_msg, warnings=None).model_dump(exclude_none=True)
+            return HandlerResponse(tool_calls=return_msg, warnings=None).model_dump(
+                exclude_none=True
+            )
 
         except (
             ValidationError,
@@ -352,10 +354,7 @@ def _execute_tool_calls(self, tool_calls: list[Tool], state: ConversationState)
                 logger.info(f"API response: {api_response}, behavior: {api_client_behavior}")
                 behavior_type = api_client_behavior.behavior_type if api_client_behavior else None
 
-                if (
-                    behavior_type
-                    and behavior_type == "return_to_llm"
-                ):
+                if behavior_type and behavior_type == "return_to_llm":
                     llm_response_behavior: ReturnToLlmBehavior = api_client_behavior  # type: ignore
 
                     response = (

tests/rest_api_client/test_types.py

@@ -52,7 +52,7 @@ def test_default_response_behavior(self):
         )
         assert "default" in config.response_behavior
         assert isinstance(config.response_behavior["default"], ReturnToLlmBehavior)
-        assert config.response_behavior["default"].llm_response is None
+        assert config.response_behavior["default"].response is None
 
     def test_equality(self):
         config1 = RestApiConfig(