Update examples to use gpt-5-mini instead of gpt-4o-mini

KennyVaneetvelde · KennyVaneetvelde · commit 428f38a2a00f · 2025-08-17T15:09:39.000+02:00
diff --git a/atomic-examples/basic-multimodal/basic_multimodal/main.py b/atomic-examples/basic-multimodal/basic_multimodal/main.py
@@ -62,7 +62,8 @@ class NutritionAnalysisOutput(BaseIOSchema):
 nutrition_analyzer = AtomicAgent[NutritionAnalysisInput, NutritionAnalysisOutput](
     config=AgentConfig(
         client=instructor.from_openai(openai.OpenAI(api_key=API_KEY)),
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "You are a specialized nutrition label analyzer.",
diff --git a/atomic-examples/deep-research/deep_research/agents/choice_agent.py b/atomic-examples/deep-research/deep_research/agents/choice_agent.py
@@ -25,6 +25,7 @@ class ChoiceAgentOutputSchema(BaseIOSchema):
     AgentConfig(
         client=instructor.from_openai(openai.OpenAI(api_key=ChatConfig.api_key)),
         model=ChatConfig.model,
+        model_api_parameters={"reasoning_effort": ChatConfig.reasoning_effort, "temperature": 0.1},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "You are a decision-making agent that determines whether a new web search is needed to answer the user's question.",
@@ -45,7 +46,6 @@ class ChoiceAgentOutputSchema(BaseIOSchema):
                 "Your decision must match your reasoning - don't contradict yourself",
             ],
         ),
-        model_api_parameters={"temperature": 0.1},
     )
 )
 
diff --git a/atomic-examples/deep-research/deep_research/agents/qa_agent.py b/atomic-examples/deep-research/deep_research/agents/qa_agent.py
@@ -31,6 +31,7 @@ class QuestionAnsweringAgentOutputSchema(BaseIOSchema):
     AgentConfig(
         client=instructor.from_openai(openai.OpenAI(api_key=ChatConfig.api_key)),
         model=ChatConfig.model,
+        model_api_parameters={"reasoning_effort": ChatConfig.reasoning_effort},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "You are an expert question answering agent focused on providing factual information and encouraging deeper topic exploration.",
diff --git a/atomic-examples/deep-research/deep_research/agents/query_agent.py b/atomic-examples/deep-research/deep_research/agents/query_agent.py
@@ -19,6 +19,7 @@ class QueryAgentInputSchema(BaseIOSchema):
     AgentConfig(
         client=instructor.from_openai(openai.OpenAI(api_key=ChatConfig.api_key)),
         model=ChatConfig.model,
+        model_api_parameters={"reasoning_effort": ChatConfig.reasoning_effort},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 (
diff --git a/atomic-examples/deep-research/deep_research/config.py b/atomic-examples/deep-research/deep_research/config.py
@@ -28,7 +28,8 @@ class ChatConfig:
     """Configuration for the chat application"""
 
     api_key: str = get_api_key()  # This becomes a class variable
-    model: str = "gpt-4o-mini"
+    model: str = "gpt-5-mini"
+    reasoning_effort: str = "low"
     exit_commands: Set[str] = frozenset({"/exit", "/quit"})
     searxng_base_url: str = get_searxng_base_url()
     searxng_api_key: str = get_searxng_api_key()
diff --git a/atomic-examples/mcp-agent/example-client/example_client/main_fastapi.py b/atomic-examples/mcp-agent/example-client/example_client/main_fastapi.py
@@ -22,6 +22,7 @@ class MCPConfig:
     mcp_server_url: str = "http://localhost:6969"
     openai_model: str = "gpt-5-mini"
     openai_api_key: str = os.getenv("OPENAI_API_KEY") or ""
+    reasoning_effort: str = "low"
 
     def __post_init__(self):
         if not self.openai_api_key:
@@ -152,6 +153,7 @@ class OrchestratorOutputSchema(BaseIOSchema):
             AgentConfig(
                 client=globals()["client"],
                 model=config.openai_model,
+                model_api_parameters={"reasoning_effort": config.reasoning_effort},
                 history=ChatHistory(),
                 system_prompt_generator=SystemPromptGenerator(
                     background=[
diff --git a/atomic-examples/mcp-agent/example-client/example_client/main_http.py b/atomic-examples/mcp-agent/example-client/example_client/main_http.py
@@ -25,6 +25,7 @@ class MCPConfig:
     mcp_server_url: str = "http://localhost:6969"
     openai_model: str = "gpt-5-mini"
     openai_api_key: str = os.getenv("OPENAI_API_KEY")
+    reasoning_effort: str = "low"
 
     def __post_init__(self):
         if not self.openai_api_key:
@@ -82,6 +83,7 @@ class OrchestratorOutputSchema(BaseIOSchema):
         AgentConfig(
             client=client,
             model=config.openai_model,
+            model_api_parameters={"reasoning_effort": config.reasoning_effort},
             history=history,
             system_prompt_generator=SystemPromptGenerator(
                 background=[
diff --git a/atomic-examples/mcp-agent/example-client/example_client/main_sse.py b/atomic-examples/mcp-agent/example-client/example_client/main_sse.py
@@ -27,6 +27,7 @@ class MCPConfig:
     # clarify tools even more and introduce more constraints.
     openai_model: str = "gpt-5-mini"
     openai_api_key: str = os.getenv("OPENAI_API_KEY")
+    reasoning_effort: str = "low"
 
     def __post_init__(self):
         if not self.openai_api_key:
@@ -144,6 +145,7 @@ def main():
             AgentConfig(
                 client=client,
                 model=config.openai_model,
+                model_api_parameters={"reasoning_effort": config.reasoning_effort},
                 history=history,
                 system_prompt_generator=SystemPromptGenerator(
                     background=[
diff --git a/atomic-examples/mcp-agent/example-client/example_client/main_stdio.py b/atomic-examples/mcp-agent/example-client/example_client/main_stdio.py
@@ -28,6 +28,7 @@ class MCPConfig:
     # clarify tools even more and introduce more constraints.
     openai_model: str = "gpt-5-mini"
     openai_api_key: str = os.getenv("OPENAI_API_KEY")
+    reasoning_effort: str = "low"
 
     # Command to run the STDIO server.
     # In practice, this could be something like "pipx some-other-persons-server or npx some-other-persons-server
@@ -137,6 +138,7 @@ def main():
             AgentConfig(
                 client=client,
                 model=config.openai_model,
+                model_api_parameters={"reasoning_effort": config.reasoning_effort},
                 history=history,
                 system_prompt_generator=SystemPromptGenerator(
                     background=[
diff --git a/atomic-examples/mcp-agent/example-client/example_client/main_stdio_async.py b/atomic-examples/mcp-agent/example-client/example_client/main_stdio_async.py
@@ -28,6 +28,7 @@ class MCPConfig:
     # clarify tools even more and introduce more constraints.
     openai_model: str = "gpt-5-mini"
     openai_api_key: str = os.getenv("OPENAI_API_KEY")
+    reasoning_effort: str = "low"
 
     # Command to run the STDIO server.
     # In practice, this could be something like "pipx some-other-persons-server or npx some-other-persons-server
@@ -121,6 +122,7 @@ class OrchestratorOutputSchema(BaseIOSchema):
             AgentConfig(
                 client=client,
                 model=config.openai_model,
+                model_api_parameters={"reasoning_effort": config.reasoning_effort},
                 history=history,
                 system_prompt_generator=SystemPromptGenerator(
                     background=[
diff --git a/atomic-examples/orchestration-agent/orchestration_agent/orchestrator.py b/atomic-examples/orchestration-agent/orchestration_agent/orchestrator.py
@@ -71,7 +71,8 @@ def get_info(self) -> str:
 ######################
 orchestrator_agent_config = AgentConfig(
     client=instructor.from_openai(openai.OpenAI()),
-    model="gpt-4o-mini",
+    model="gpt-5-mini",
+    model_api_parameters={"reasoning_effort": "low"},
     system_prompt_generator=SystemPromptGenerator(
         background=[
             "You are an Orchestrator Agent that decides between using a search tool or a calculator tool based on user input.",
diff --git a/atomic-examples/quickstart/quickstart/1_0_basic_chatbot.py b/atomic-examples/quickstart/quickstart/1_0_basic_chatbot.py
@@ -34,7 +34,8 @@
 agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](
     config=AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         history=history,
     )
 )
diff --git a/atomic-examples/quickstart/quickstart/1_1_basic_chatbot_streaming.py b/atomic-examples/quickstart/quickstart/1_1_basic_chatbot_streaming.py
@@ -34,7 +34,8 @@
 agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](
     config=AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         history=history,
     )
 )
diff --git a/atomic-examples/quickstart/quickstart/1_2_basic_chatbot_async_streaming.py b/atomic-examples/quickstart/quickstart/1_2_basic_chatbot_async_streaming.py
@@ -35,7 +35,8 @@
 agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](
     config=AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         history=history,
     )
 )
diff --git a/atomic-examples/quickstart/quickstart/2_basic_custom_chatbot.py b/atomic-examples/quickstart/quickstart/2_basic_custom_chatbot.py
@@ -52,7 +52,8 @@
 agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](
     config=AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         system_prompt_generator=system_prompt_generator,
         history=history,
     )
diff --git a/atomic-examples/quickstart/quickstart/3_0_basic_custom_chatbot_with_custom_schema.py b/atomic-examples/quickstart/quickstart/3_0_basic_custom_chatbot_with_custom_schema.py
@@ -75,7 +75,8 @@ class CustomOutputSchema(BaseIOSchema):
 agent = AtomicAgent[BasicChatInputSchema, CustomOutputSchema](
     config=AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         system_prompt_generator=system_prompt_generator,
         history=history,
     )
diff --git a/atomic-examples/quickstart/quickstart/3_1_basic_custom_chatbot_with_custom_schema_streaming.py b/atomic-examples/quickstart/quickstart/3_1_basic_custom_chatbot_with_custom_schema_streaming.py
@@ -77,7 +77,8 @@ class CustomOutputSchema(BaseIOSchema):
 agent = AtomicAgent[BasicChatInputSchema, CustomOutputSchema](
     config=AgentConfig(
         client=client,
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         system_prompt_generator=system_prompt_generator,
         history=history,
     )
diff --git a/atomic-examples/quickstart/quickstart/4_basic_chatbot_different_providers.py b/atomic-examples/quickstart/quickstart/4_basic_chatbot_different_providers.py
@@ -28,26 +28,30 @@ def setup_client(provider):
 
         api_key = os.getenv("OPENAI_API_KEY")
         client = instructor.from_openai(OpenAI(api_key=api_key))
-        model = "gpt-4o-mini"
+        model = "gpt-5-mini"
+        model_api_parameters = {"reasoning_effort": "low"}
     elif provider == "2" or provider == "anthropic":
         from anthropic import Anthropic
 
         api_key = os.getenv("ANTHROPIC_API_KEY")
         client = instructor.from_anthropic(Anthropic(api_key=api_key))
         model = "claude-3-5-haiku-20241022"
+        model_api_parameters = {}
     elif provider == "3" or provider == "groq":
         from groq import Groq
 
         api_key = os.getenv("GROQ_API_KEY")
         client = instructor.from_groq(Groq(api_key=api_key), mode=instructor.Mode.JSON)
         model = "mixtral-8x7b-32768"
+        model_api_parameters = {}
     elif provider == "4" or provider == "ollama":
         from openai import OpenAI as OllamaClient
 
         client = instructor.from_openai(
             OllamaClient(base_url="http://localhost:11434/v1", api_key="ollama"), mode=instructor.Mode.JSON
         )
         model = "llama3"
+        model_api_parameters = {}
     elif provider == "5" or provider == "gemini":
         from openai import OpenAI
 
@@ -56,17 +60,19 @@ def setup_client(provider):
             OpenAI(api_key=api_key, base_url="https://generativelanguage.googleapis.com/v1beta/openai/"),
             mode=instructor.Mode.JSON,
         )
-        model = "gemini-2.0-flash-exp"
+        model = "gpt-5-mini"
+        model_api_parameters = {"reasoning_effort": "low"}
     elif provider == "6" or provider == "openrouter":
         from openai import OpenAI as OpenRouterClient
 
         api_key = os.getenv("OPENROUTER_API_KEY")
         client = instructor.from_openai(OpenRouterClient(base_url="https://openrouter.ai/api/v1", api_key=api_key))
         model = "mistral/ministral-8b"
+        model_api_parameters = {}
     else:
         raise ValueError(f"Unsupported provider: {provider}")
 
-    return client, model
+    return client, model, model_api_parameters
 
 
 # Prompt the user to choose a provider from one in the list below.
@@ -82,11 +88,13 @@ def setup_client(provider):
 provider = console.input(providers_str).lower()
 
 # Set up the client and model based on the chosen provider
-client, model = setup_client(provider)
+client, model, model_api_parameters = setup_client(provider)
 
 # Agent setup with specified configuration
 agent = AtomicAgent[BasicChatInputSchema, BasicChatOutputSchema](
-    config=AgentConfig(client=client, model=model, history=history, model_api_parameters={"max_tokens": 2048})
+    config=AgentConfig(
+        client=client, model=model, history=history, model_api_parameters={**model_api_parameters, "max_tokens": 2048}
+    )
 )
 
 # Generate the default system prompt for the agent
diff --git a/atomic-examples/quickstart/quickstart/6_0_asynchronous_processing.py b/atomic-examples/quickstart/quickstart/6_0_asynchronous_processing.py
@@ -53,7 +53,12 @@ class PersonSchema(BaseIOSchema):
 
 # Agent setup with specified configuration
 agent = AtomicAgent[BasicChatInputSchema, PersonSchema](
-    config=AgentConfig(client=client, model="gpt-4o-mini", system_prompt_generator=system_prompt_generator)
+    config=AgentConfig(
+        client=client,
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
+        system_prompt_generator=system_prompt_generator,
+    )
 )
 
 
diff --git a/atomic-examples/quickstart/quickstart/6_1_asynchronous_processing_streaming.py b/atomic-examples/quickstart/quickstart/6_1_asynchronous_processing_streaming.py
@@ -58,7 +58,12 @@ class PersonSchema(BaseIOSchema):
 
 # Agent setup with specified configuration
 agent = AtomicAgent[BasicChatInputSchema, PersonSchema](
-    config=AgentConfig(client=client, model="gpt-4o-mini", system_prompt_generator=system_prompt_generator)
+    config=AgentConfig(
+        client=client,
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
+        system_prompt_generator=system_prompt_generator,
+    )
 )
 
 
diff --git a/atomic-examples/rag-chatbot/rag_chatbot/agents/qa_agent.py b/atomic-examples/rag-chatbot/rag_chatbot/agents/qa_agent.py
@@ -24,6 +24,7 @@ class RAGQuestionAnsweringAgentOutputSchema(BaseIOSchema):
     AgentConfig(
         client=instructor.from_openai(openai.OpenAI(api_key=ChatConfig.api_key)),
         model=ChatConfig.model,
+        model_api_parameters={"reasoning_effort": ChatConfig.reasoning_effort},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "You are an expert at answering questions using retrieved context chunks from a RAG system.",
diff --git a/atomic-examples/rag-chatbot/rag_chatbot/agents/query_agent.py b/atomic-examples/rag-chatbot/rag_chatbot/agents/query_agent.py
@@ -24,6 +24,7 @@ class RAGQueryAgentOutputSchema(BaseIOSchema):
     AgentConfig(
         client=instructor.from_openai(openai.OpenAI(api_key=ChatConfig.api_key)),
         model=ChatConfig.model,
+        model_api_parameters={"reasoning_effort": ChatConfig.reasoning_effort},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "You are an expert at formulating semantic search queries for RAG systems.",
diff --git a/atomic-examples/rag-chatbot/rag_chatbot/config.py b/atomic-examples/rag-chatbot/rag_chatbot/config.py
@@ -15,7 +15,8 @@ class ChatConfig:
     """Configuration for the chat application"""
 
     api_key: str = get_api_key()  # This becomes a class variable
-    model: str = "gpt-4o-mini"
+    model: str = "gpt-5-mini"
+    reasoning_effort: str = "low"
     exit_commands: set[str] = frozenset({"/exit", "exit", "quit", "/quit"})
 
     def __init__(self):
diff --git a/atomic-examples/web-search-agent/web_search_agent/agents/query_agent.py b/atomic-examples/web-search-agent/web_search_agent/agents/query_agent.py
@@ -22,7 +22,8 @@ class QueryAgentOutputSchema(BaseIOSchema):
 query_agent = AtomicAgent[QueryAgentInputSchema, QueryAgentOutputSchema](
     AgentConfig(
         client=instructor.from_openai(openai.OpenAI()),
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "You are an advanced search query generator.",
diff --git a/atomic-examples/web-search-agent/web_search_agent/agents/question_answering_agent.py b/atomic-examples/web-search-agent/web_search_agent/agents/question_answering_agent.py
@@ -28,7 +28,8 @@ class QuestionAnsweringAgentOutputSchema(BaseIOSchema):
 question_answering_agent = AtomicAgent[QuestionAnsweringAgentInputSchema, QuestionAnsweringAgentOutputSchema](
     AgentConfig(
         client=instructor.from_openai(openai.OpenAI()),
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "You are an intelligent question answering expert.",
diff --git a/atomic-examples/youtube-summarizer/youtube_summarizer/agent.py b/atomic-examples/youtube-summarizer/youtube_summarizer/agent.py
@@ -73,7 +73,8 @@ class YouTubeKnowledgeExtractionOutputSchema(BaseIOSchema):
 ](
     config=AgentConfig(
         client=instructor.from_openai(openai.OpenAI()),
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "This Assistant is an expert at extracting knowledge and other insightful and interesting information from YouTube transcripts."
diff --git a/atomic-examples/youtube-to-recipe/youtube_to_recipe/agent.py b/atomic-examples/youtube-to-recipe/youtube_to_recipe/agent.py
@@ -67,7 +67,8 @@ class YouTubeRecipeExtractionOutputSchema(BaseIOSchema):
 youtube_recipe_extraction_agent = AtomicAgent[YouTubeRecipeExtractionInputSchema, YouTubeRecipeExtractionOutputSchema](
     config=AgentConfig(
         client=instructor.from_openai(openai.OpenAI()),
-        model="gpt-4o-mini",
+        model="gpt-5-mini",
+        model_api_parameters={"reasoning_effort": "low"},
         system_prompt_generator=SystemPromptGenerator(
             background=[
                 "This Assistant is an expert at extracting detailed recipe information from cooking video transcripts.",

Original file line number	Diff line number	Diff line change
`@@ -25,6 +25,7 @@ class ChoiceAgentOutputSchema(BaseIOSchema):`
`25`	`25`	`AgentConfig(`
`26`	`26`	`client=instructor.from_openai(openai.OpenAI(api_key=ChatConfig.api_key)),`
`27`	`27`	`model=ChatConfig.model,`
	`28`	`+ model_api_parameters={"reasoning_effort": ChatConfig.reasoning_effort, "temperature": 0.1},`
`28`	`29`	`system_prompt_generator=SystemPromptGenerator(`
`29`	`30`	`background=[`
`30`	`31`	`"You are a decision-making agent that determines whether a new web search is needed to answer the user's question.",`
`@@ -45,7 +46,6 @@ class ChoiceAgentOutputSchema(BaseIOSchema):`
`45`	`46`	`"Your decision must match your reasoning - don't contradict yourself",`
`46`	`47`	`],`
`47`	`48`	`),`
`48`		`- model_api_parameters={"temperature": 0.1},`
`49`	`49`	`)`
`50`	`50`	`)`
`51`	`51`
Original file line number	Diff line number	Diff line change
`@@ -19,6 +19,7 @@ class QueryAgentInputSchema(BaseIOSchema):`
`19`	`19`	`AgentConfig(`
`20`	`20`	`client=instructor.from_openai(openai.OpenAI(api_key=ChatConfig.api_key)),`
`21`	`21`	`model=ChatConfig.model,`
	`22`	`+ model_api_parameters={"reasoning_effort": ChatConfig.reasoning_effort},`
`22`	`23`	`system_prompt_generator=SystemPromptGenerator(`
`23`	`24`	`background=[`
`24`	`25`	`(`