Integrate Hermes tool parser with test infrastructure

- Add HermesToolParser to __init__.py exports for proper module integration
- Update test configuration to support 'hermes' tool call parser option
- Add hermes parser support to infer_test_environment() and infer_test_model_repository()
- Enables testing hermes tool calling functionality via TEST_TOOL_CALL_PARSER=hermes

This allows the hermes parser to be tested alongside existing llama3 and mistral parsers
through the established OpenAI test suite infrastructure.

Author: amit-timalsina

python/openai/openai_frontend/engine/utils/tool_call_parsers/__init__.py

@@ -28,13 +28,15 @@
 # https://github.com/vllm-project/vllm/blob/main/vllm/entrypoints/openai/tool_parsers/__init__.py
 # Copyright 2024 The vLLM team.
 
+from .hermes_tool_call_parser import HermesToolParser
 from .llama_tool_call_parser import Llama3JsonToolParser
 from .mistral_tool_call_parser import MistralToolParser
 from .tool_call_parser import ToolCallParser, ToolParserManager
 
 __all__ = [
     "ToolCallParser",
     "ToolParserManager",
+    "HermesToolParser",
     "Llama3JsonToolParser",
     "MistralToolParser",
 ]

python/openai/tests/conftest.py

@@ -41,6 +41,8 @@ def infer_test_environment(tool_call_parser):
         backend = "vllm"
         if tool_call_parser == "mistral":
             model = "mistral-nemo-instruct-2407"
+        elif tool_call_parser == "hermes":
+            model = "llama-3.1-8b-instruct"  # Use llama model for hermes testing
         else:
             model = "llama-3.1-8b-instruct"
         return backend, model
@@ -62,6 +64,10 @@ def infer_test_environment(tool_call_parser):
 def infer_test_model_repository(backend, tool_call_parser):
     if tool_call_parser == "mistral":
         model_repository = str(Path(__file__).parent / f"{backend}_mistral_models")
+    elif tool_call_parser == "hermes":
+        model_repository = str(
+            Path(__file__).parent / f"{backend}_models"
+        )  # Use default models for hermes
     else:
         model_repository = str(Path(__file__).parent / f"{backend}_models")
     return model_repository