Add FastAPI integration example

README.md

@@ -112,7 +112,7 @@ client = instructor.from_openai(OpenAI())
 agent = AtomicAgent[BasicChatInputSchema, CustomOutputSchema](
     config=AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         system_prompt_generator=system_prompt_generator,
         history=ChatHistory(),
     )
@@ -219,7 +219,7 @@ class QueryAgentInputSchema(BaseIOSchema):
 query_agent = AtomicAgent[QueryAgentInputSchema, SearXNGSearchTool.input_schema](
     config=AgentConfig(
         client=instructor.from_openai(openai.OpenAI()),
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "You are an intelligent query generation expert.",

UPGRADE_DOC.md

@@ -182,7 +182,7 @@ client = instructor.from_openai(OpenAI())
 agent = BaseAgent(
     BaseAgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         memory=AgentMemory()
         # No schema parameters = uses BaseAgentInputSchema and BaseAgentOutputSchema
     )
@@ -192,7 +192,7 @@ agent = BaseAgent(
 agent = BaseAgent(
     BaseAgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         memory=AgentMemory(),
         input_schema=CustomInputSchema,   # Passed in config
         output_schema=CustomOutputSchema   # Passed in config
@@ -226,7 +226,7 @@ client = instructor.from_openai(OpenAI())
 agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](
     AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=ChatHistory()
     )
 )
@@ -235,7 +235,7 @@ agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](
 agent = AtomicAgent[CustomInputSchema, CustomOutputSchema](
     AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=ChatHistory()
         # No schema parameters in config!
     )
@@ -262,7 +262,7 @@ agent = AtomicAgent[CustomInputSchema, CustomOutputSchema](
    agent = BaseAgent(
        BaseAgentConfig(
            client=client,
-           model="gpt-4o-mini",
+           model="gpt-5-mini",
            memory=AgentMemory(),
            input_schema=TranslationInput,  # Was here
            output_schema=TranslationOutput  # Was here
@@ -273,7 +273,7 @@ agent = AtomicAgent[CustomInputSchema, CustomOutputSchema](
    agent = AtomicAgent[TranslationInput, TranslationOutput](
        AgentConfig(
            client=client,
-           model="gpt-4o-mini",
+           model="gpt-5-mini",
            history=ChatHistory()  # Note: memory → history
            # Schemas no longer in config!
        )
@@ -285,7 +285,7 @@ agent = AtomicAgent[CustomInputSchema, CustomOutputSchema](
    # OLD - Direct parameters
    config = BaseAgentConfig(
        client=client,
-       model="gpt-4o-mini",
+       model="gpt-5-mini",
        memory=AgentMemory(),  # Old field name
        temperature=0.7,       # Direct parameter
        max_tokens=1000        # Direct parameter
@@ -294,7 +294,7 @@ agent = AtomicAgent[CustomInputSchema, CustomOutputSchema](
    # NEW - Grouped parameters
    config = AgentConfig(
        client=client,
-       model="gpt-4o-mini",
+       model="gpt-5-mini",
        history=ChatHistory(),  # New field name
        model_api_parameters={  # Temperature and max_tokens moved here
            "temperature": 0.7,
@@ -347,7 +347,7 @@ from atomic_agents.context import ChatHistory
 
 client = instructor.from_openai(OpenAI())
 agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](
-    AgentConfig(client=client, model="gpt-4o-mini", history=ChatHistory())
+    AgentConfig(client=client, model="gpt-5-mini", history=ChatHistory())
 )
 
 # Non-streaming (same as v1.x) - Wait for complete response
@@ -372,7 +372,7 @@ import asyncio
 
 client = instructor.from_openai(AsyncOpenAI())
 agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](
-    AgentConfig(client=client, model="gpt-4o-mini", history=ChatHistory())
+    AgentConfig(client=client, model="gpt-5-mini", history=ChatHistory())
 )
 
 # OLD (v1.x) - run_async was a streaming generator
@@ -605,7 +605,7 @@ system_prompt = SystemPromptGenerator(
 agent = BaseAgent(
     BaseAgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         memory=memory,
         system_prompt_generator=system_prompt,
         input_schema=SupportTicketInput,
@@ -663,7 +663,7 @@ system_prompt = SystemPromptGenerator(
 agent = AtomicAgent[SupportTicketInput, SupportTicketOutput](  # Schemas as type parameters
     AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=history,  # Changed from memory
         system_prompt_generator=system_prompt,
         # No input_schema or output_schema in config

agents.md

@@ -333,7 +333,7 @@ agent = AtomicAgent(
     system_prompt="You are a helpful assistant. Provide accurate answers.",
     input_schema=InputSchema,
     output_schema=OutputSchema,
-    model="gpt-4o-mini",
+    model="gpt-5-mini",
 )
 
 # Run agent

atomic-agents/atomic_agents/agents/atomic_agent.py

@@ -60,7 +60,7 @@ class BasicChatOutputSchema(BaseIOSchema):
 
 class AgentConfig(BaseModel):
     client: instructor.client.Instructor = Field(..., description="Client for interacting with the language model.")
-    model: str = Field(default="gpt-4o-mini", description="The model to use for generating responses.")
+    model: str = Field(default="gpt-5-mini", description="The model to use for generating responses.")
     history: Optional[ChatHistory] = Field(default=None, description="History component for storing chat history.")
     system_prompt_generator: Optional[SystemPromptGenerator] = Field(
         default=None, description="Component for generating system prompts."
@@ -579,11 +579,11 @@ async def chat_loop(streaming: bool = False):
         """
         if streaming:
             client = instructor.from_openai(AsyncOpenAI())
-            config = AgentConfig(client=client, model="gpt-4o-mini")
+            config = AgentConfig(client=client, model="gpt-5-mini")
             agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](config)
         else:
             client = instructor.from_openai(OpenAI())
-            config = AgentConfig(client=client, model="gpt-4o-mini")
+            config = AgentConfig(client=client, model="gpt-5-mini")
             agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](config)
 
         # Display agent information before starting the chat

atomic-agents/tests/agents/test_atomic_agent.py

@@ -76,7 +76,7 @@ def mock_system_prompt_generator():
 def agent_config(mock_instructor, mock_history, mock_system_prompt_generator):
     return AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=mock_system_prompt_generator,
     )
@@ -91,7 +91,7 @@ def agent(agent_config):
 def agent_config_async(mock_instructor_async, mock_history, mock_system_prompt_generator):
     return AgentConfig(
         client=mock_instructor_async,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=mock_system_prompt_generator,
     )
@@ -104,7 +104,7 @@ def agent_async(agent_config_async):
 
 def test_initialization(agent, mock_instructor, mock_history, mock_system_prompt_generator):
     assert agent.client == mock_instructor
-    assert agent.model == "gpt-4o-mini"
+    assert agent.model == "gpt-5-mini"
     assert agent.history == mock_history
     assert agent.system_prompt_generator == mock_system_prompt_generator
     assert "max_tokens" not in agent.model_api_parameters
@@ -114,7 +114,7 @@ def test_initialization(agent, mock_instructor, mock_history, mock_system_prompt
 def test_initialization_temperature_priority(mock_instructor, mock_history, mock_system_prompt_generator):
     config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=mock_system_prompt_generator,
         model_api_parameters={"temperature": 1.0},
@@ -126,7 +126,7 @@ def test_initialization_temperature_priority(mock_instructor, mock_history, mock
 def test_initialization_without_temperature(mock_instructor, mock_history, mock_system_prompt_generator):
     config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=mock_system_prompt_generator,
         model_api_parameters={"temperature": 0.5},
@@ -138,7 +138,7 @@ def test_initialization_without_temperature(mock_instructor, mock_history, mock_
 def test_initialization_without_max_tokens(mock_instructor, mock_history, mock_system_prompt_generator):
     config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=mock_system_prompt_generator,
         model_api_parameters={"max_tokens": 1024},
@@ -150,7 +150,7 @@ def test_initialization_without_max_tokens(mock_instructor, mock_history, mock_s
 def test_initialization_system_role_equals_developer(mock_instructor, mock_history, mock_system_prompt_generator):
     config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=mock_system_prompt_generator,
         system_role="developer",
@@ -164,7 +164,7 @@ def test_initialization_system_role_equals_developer(mock_instructor, mock_histo
 def test_initialization_system_role_equals_None(mock_instructor, mock_history, mock_system_prompt_generator):
     config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=mock_system_prompt_generator,
         system_role=None,
@@ -215,7 +215,7 @@ def test_unregister_context_provider(agent, mock_system_prompt_generator):
 def test_no_type_parameters(mock_instructor):
     custom_config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
     )
 
     custom_agent = AtomicAgent(custom_config)
@@ -233,7 +233,7 @@ class CustomOutputSchema(BaseModel):
 
     custom_config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
     )
 
     custom_agent = AtomicAgent[CustomInputSchema, CustomOutputSchema](custom_config)
@@ -256,7 +256,7 @@ def __init__(self, extra_param: str):
             self.extra_param = extra_param
             config = AgentConfig(
                 client=mock_instructor,
-                model="gpt-4o-mini",
+                model="gpt-5-mini",
             )
             super().__init__(config)
 
@@ -319,7 +319,7 @@ def test_run_stream(mock_instructor, mock_history):
     # Create a AgentConfig with system_role set to None
     config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=None,  # No system prompt generator
     )
@@ -457,7 +457,7 @@ def test_hook_registration_with_instructor_client(mock_instructor):
     mock_instructor.off = Mock()
     mock_instructor.clear = Mock()
 
-    config = AgentConfig(client=mock_instructor, model="gpt-4o-mini")
+    config = AgentConfig(client=mock_instructor, model="gpt-5-mini")
     agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](config)
 
     def test_handler(error):
@@ -629,7 +629,7 @@ def test_agent_initialization_includes_hooks(mock_instructor, mock_history, mock
     """Test that agent initialization properly sets up hook system."""
     config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=mock_system_prompt_generator,
     )
@@ -665,7 +665,7 @@ def test_backward_compatibility_no_breaking_changes(mock_instructor, mock_histor
 
     config = AgentConfig(
         client=mock_instructor,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
         history=mock_history,
         system_prompt_generator=mock_system_prompt_generator,
     )
@@ -674,7 +674,7 @@ def test_backward_compatibility_no_breaking_changes(mock_instructor, mock_histor
 
     # Test that all existing attributes still exist and work
     assert agent.client == mock_instructor
-    assert agent.model == "gpt-4o-mini"
+    assert agent.model == "gpt-5-mini"
     assert agent.history == mock_history
     assert agent.system_prompt_generator == mock_system_prompt_generator