docs: update ChatMessage examples (#9394)

haystack/components/builders/chat_prompt_builder.py

@@ -75,13 +75,13 @@ class ChatPromptBuilder:
                                         "template": messages}})
     print(res)
 
-    >> {'llm': {'replies': [ChatMessage(content="Berlin is the capital city of Germany and one of the most vibrant
+    >> {'llm': {'replies': [ChatMessage(_role=<ChatRole.ASSISTANT: 'assistant'>, _content=[TextContent(text=
+    "Berlin is the capital city of Germany and one of the most vibrant
     and diverse cities in Europe. Here are some key things to know...Enjoy your time exploring the vibrant and dynamic
-    capital of Germany!", role=<ChatRole.ASSISTANT: 'assistant'>, name=None, meta={'model': 'gpt-4o-mini',
+    capital of Germany!")], _name=None, _meta={'model': 'gpt-4o-mini',
     'index': 0, 'finish_reason': 'stop', 'usage': {'prompt_tokens': 27, 'completion_tokens': 681, 'total_tokens':
     708}})]}}
 
-
     messages = [system_message, ChatMessage.from_user("What's the weather forecast for {{location}} in the next
     {{day_count}} days?")]
 
@@ -89,9 +89,10 @@ class ChatPromptBuilder:
                                         "template": messages}})
 
     print(res)
-    >> {'llm': {'replies': [ChatMessage(content="Here is the weather forecast for Berlin in the next 5
+    >> {'llm': {'replies': [ChatMessage(_role=<ChatRole.ASSISTANT: 'assistant'>, _content=[TextContent(text=
+    "Here is the weather forecast for Berlin in the next 5
     days:\\n\\nDay 1: Mostly cloudy with a high of 22°C (72°F) and...so it's always a good idea to check for updates
-    closer to your visit.", role=<ChatRole.ASSISTANT: 'assistant'>, name=None, meta={'model': 'gpt-4o-mini',
+    closer to your visit.")], _name=None, _meta={'model': 'gpt-4o-mini',
     'index': 0, 'finish_reason': 'stop', 'usage': {'prompt_tokens': 37, 'completion_tokens': 201,
     'total_tokens': 238}})]}}
     ```

haystack/components/connectors/openapi_service.py

@@ -188,7 +188,8 @@ class OpenAPIServiceConnector:
                                    service_openapi_spec=serperdev_openapi_spec, service_credentials=serper_token)
     print(result)
 
-    >> {'service_response': [ChatMessage(content='{"searchParameters": {"q": "Why was Sam Altman ousted from OpenAI?",
+    >> {'service_response': [ChatMessage(_role=<ChatRole.ASSISTANT: 'assistant'>, _content=[TextContent(text=
+    >> '{"searchParameters": {"q": "Why was Sam Altman ousted from OpenAI?",
     >> "type": "search", "engine": "google"}, "answerBox": {"snippet": "Concerns over AI safety and OpenAI\'s role
     >> in protecting were at the center of Altman\'s brief ouster from the company."...
     ```

haystack/components/generators/chat/azure.py

@@ -57,10 +57,11 @@ class AzureOpenAIChatGenerator(OpenAIChatGenerator):
 
     ```
     {'replies':
-        [ChatMessage(content='Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on
-         enabling computers to understand, interpret, and generate human language in a way that is useful.',
-         role=<ChatRole.ASSISTANT: 'assistant'>, name=None,
-         meta={'model': 'gpt-4o-mini', 'index': 0, 'finish_reason': 'stop',
+        [ChatMessage(_role=<ChatRole.ASSISTANT: 'assistant'>, _content=[TextContent(text=
+        "Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on
+         enabling computers to understand, interpret, and generate human language in a way that is useful.")],
+         _name=None,
+         _meta={'model': 'gpt-4o-mini', 'index': 0, 'finish_reason': 'stop',
          'usage': {'prompt_tokens': 15, 'completion_tokens': 36, 'total_tokens': 51}})]
     }
     ```

haystack/components/generators/chat/hugging_face_local.py

@@ -105,14 +105,14 @@ class HuggingFaceLocalChatGenerator:
 
     ```
     {'replies':
-        [ChatMessage(content=' Natural Language Processing (NLP) is a subfield of artificial intelligence that deals
+        [ChatMessage(_role=<ChatRole.ASSISTANT: 'assistant'>, _content=[TextContent(text=
+        "Natural Language Processing (NLP) is a subfield of artificial intelligence that deals
         with the interaction between computers and human language. It enables computers to understand, interpret, and
         generate human language in a valuable way. NLP involves various techniques such as speech recognition, text
         analysis, sentiment analysis, and machine translation. The ultimate goal is to make it easier for computers to
-        process and derive meaning from human language, improving communication between humans and machines.',
-        role=<ChatRole.ASSISTANT: 'assistant'>,
-        name=None,
-        meta={'finish_reason': 'stop', 'index': 0, 'model':
+        process and derive meaning from human language, improving communication between humans and machines.")],
+        _name=None,
+        _meta={'finish_reason': 'stop', 'index': 0, 'model':
               'mistralai/Mistral-7B-Instruct-v0.2',
               'usage': {'completion_tokens': 90, 'prompt_tokens': 19, 'total_tokens': 109}})
               ]

haystack/components/generators/chat/openai.py

@@ -67,11 +67,12 @@ class OpenAIChatGenerator:
     Output:
     ```
     {'replies':
-        [ChatMessage(content='Natural Language Processing (NLP) is a branch of artificial intelligence
+        [ChatMessage(_role=<ChatRole.ASSISTANT: 'assistant'>, _content=
+        [TextContent(text="Natural Language Processing (NLP) is a branch of artificial intelligence
             that focuses on enabling computers to understand, interpret, and generate human language in
-            a way that is meaningful and useful.',
-         role=<ChatRole.ASSISTANT: 'assistant'>, name=None,
-         meta={'model': 'gpt-4o-mini', 'index': 0, 'finish_reason': 'stop',
+            a way that is meaningful and useful.")],
+         _name=None,
+         _meta={'model': 'gpt-4o-mini', 'index': 0, 'finish_reason': 'stop',
          'usage': {'prompt_tokens': 15, 'completion_tokens': 36, 'total_tokens': 51}})
         ]
     }

haystack/components/validators/json_schema.py

@@ -81,8 +81,9 @@ class JsonSchemaValidator:
         }
     })
     print(result)
-    >> {'schema_validator': {'validated': [ChatMessage(content='\\n{\\n  "name": "John",\\n  "age": 30\\n}',
-    role=<ChatRole.ASSISTANT: 'assistant'>, name=None, meta={'model': 'gpt-4-1106-preview', 'index': 0,
+    >> {'schema_validator': {'validated': [ChatMessage(_role=<ChatRole.ASSISTANT: 'assistant'>,
+    _content=[TextContent(text="\\n{\\n  "name": "John",\\n  "age": 30\\n}")],
+    _name=None, _meta={'model': 'gpt-4-1106-preview', 'index': 0,
     'finish_reason': 'stop', 'usage': {'completion_tokens': 17, 'prompt_tokens': 20, 'total_tokens': 37}})]}}
     ```
     """