feat: make multi-turn tool call tests work with llama4 (#1886)

Running full Tool Calling required some updates to work e2e.
- Remove `python_start` and `python_end` tags 
- Tool Call messages and Tool Resposne messages should end with
`<|eom|>`
- System prompt needed updates 
```
You are a helpful assisant who can can answer general questions or invoke tools when necessary.
In addition to tool calls, you should also augment your responses by using the tool outputs.
```

### Test Plan 
- Start server with meta-reference 
```
LLAMA_STACK_DISABLE_VERSION_CHECK=1 LLAMA_MODELS_DEBUG=1 INFERENCE_MODEL=meta-llama/$MODEL  llama stack run meta-reference-gpu 
``` 
- Added **NEW** tests with 5 test cases for multi-turn tool calls 
```
pytest -s -v --stack-config http://localhost:8321 tests/integration/inference/test_text_inference.py --text-model meta-llama/Llama-4-Scout-17B-16E-Instruct
``` 
- Also verified all vision and agent tests pass

llama_stack/providers/inline/inference/meta_reference/inference.py

@@ -6,8 +6,11 @@
 
 import asyncio
 import logging
+import os
 from typing import AsyncGenerator, List, Optional, Union
 
+from termcolor import cprint
+
 from llama_stack.apis.common.content_types import (
     TextDelta,
     ToolCallDelta,
@@ -338,6 +341,9 @@ class MetaReferenceInferenceImpl(
             stop_reason = None
 
             for token_result in self.generator.chat_completion(request):
+                if os.environ.get("LLAMA_MODELS_DEBUG", "0") == "1":
+                    cprint(token_result.text, "cyan", end="")
+
                 tokens.append(token_result.token)
 
                 if token_result.token == tokenizer.eot_id:
@@ -386,6 +392,9 @@ class MetaReferenceInferenceImpl(
             ipython = False
 
             for token_result in self.generator.chat_completion(request):
+                if os.environ.get("LLAMA_MODELS_DEBUG", "0") == "1":
+                    cprint(token_result.text, "cyan", end="")
+
                 tokens.append(token_result.token)
 
                 if not ipython and token_result.text.startswith("<|python_tag|>"):