feat: display model provider and default model throughout CLI (#324)

- Add DEFAULT_MODEL_IDS constant mapping providers to model IDs
- Show model in TUI provider selection (e.g., 'Anthropic (claude-sonnet-4-5-20250514)')
- Show model in Review Configuration confirm screen
- Show model info in success screens after create/add agent
- Show provider in dev TUI, dev --logs, dev --invoke
- Show provider in invoke TUI and invoke CLI
- Add modelProvider field to AgentEnvSpec schema for persistence
- Update OpenAI templates from gpt-4o to gpt-4.1
- Update Gemini templates from gemini-2.0-flash to gemini-2.5-flash

Author: aidandaly24

src/assets/__tests__/__snapshots__/assets.snapshot.test.ts.snap

@@ -1357,7 +1357,7 @@ def load_model() -> LLM:
     # CrewAI requires OPENAI_API_KEY env var (ignores api_key parameter)
     os.environ["OPENAI_API_KEY"] = api_key
     return LLM(
-        model="openai/gpt-4o",
+        model="openai/gpt-4.1",
         api_key=api_key
     )
 {{/if}}
@@ -1397,7 +1397,7 @@ def load_model() -> LLM:
     # CrewAI requires GEMINI_API_KEY env var (ignores api_key parameter)
     os.environ["GEMINI_API_KEY"] = api_key
     return LLM(
-        model="gemini/gemini-2.0-flash",
+        model="gemini/gemini-2.5-flash",
         api_key=api_key
     )
 {{/if}}
@@ -1954,7 +1954,7 @@ def _get_api_key() -> str:
 def load_model() -> ChatOpenAI:
     """Get authenticated OpenAI model client."""
     return ChatOpenAI(
-        model="gpt-4o",
+        model="gpt-4.1",
         api_key=_get_api_key()
     )
 {{/if}}
@@ -1991,7 +1991,7 @@ def _get_api_key() -> str:
 def load_model() -> ChatGoogleGenerativeAI:
     """Get authenticated Gemini model client."""
     return ChatGoogleGenerativeAI(
-        model="gemini-2.0-flash",
+        model="gemini-2.5-flash",
         api_key=_get_api_key()
     )
 {{/if}}
@@ -2155,10 +2155,11 @@ async def main(query):
     try:
         async with mcp_server as server:
             active_servers = [server] if server else []
-            # Currently defaults to GPT-4.1
-            # https://openai.github.io/openai-agents-python/models/
             agent = Agent(
-                name="{{ name }}", mcp_servers=active_servers, tools=[add_numbers]
+                name="{{ name }}",
+                model="gpt-4.1",
+                mcp_servers=active_servers,
+                tools=[add_numbers]
             )
             result = await Runner.run(agent, query)
             return result
@@ -2536,7 +2537,7 @@ def load_model() -> OpenAIModel:
     """Get authenticated OpenAI model client."""
     return OpenAIModel(
         client_args={"api_key": _get_api_key()},
-        model_id="gpt-4o",
+        model_id="gpt-4.1",
     )
 {{/if}}
 {{#if (eq modelProvider "Gemini")}}
@@ -2574,7 +2575,7 @@ def load_model() -> GeminiModel:
     """Get authenticated Gemini model client."""
     return GeminiModel(
         client_args={"api_key": _get_api_key()},
-        model_id="gemini-2.0-flash",
+        model_id="gemini-2.5-flash",
     )
 {{/if}}
 "

src/assets/python/crewai/base/model/load.py

@@ -87,7 +87,7 @@ def load_model() -> LLM:
     # CrewAI requires OPENAI_API_KEY env var (ignores api_key parameter)
     os.environ["OPENAI_API_KEY"] = api_key
     return LLM(
-        model="openai/gpt-4o",
+        model="openai/gpt-4.1",
         api_key=api_key
     )
 {{/if}}
@@ -127,7 +127,7 @@ def load_model() -> LLM:
     # CrewAI requires GEMINI_API_KEY env var (ignores api_key parameter)
     os.environ["GEMINI_API_KEY"] = api_key
     return LLM(
-        model="gemini/gemini-2.0-flash",
+        model="gemini/gemini-2.5-flash",
         api_key=api_key
     )
 {{/if}}

src/assets/python/langchain_langgraph/base/model/load.py

@@ -80,7 +80,7 @@ def _get_api_key() -> str:
 def load_model() -> ChatOpenAI:
     """Get authenticated OpenAI model client."""
     return ChatOpenAI(
-        model="gpt-4o",
+        model="gpt-4.1",
         api_key=_get_api_key()
     )
 {{/if}}
@@ -117,7 +117,7 @@ def _get_api_key() -> str:
 def load_model() -> ChatGoogleGenerativeAI:
     """Get authenticated Gemini model client."""
     return ChatGoogleGenerativeAI(
-        model="gemini-2.0-flash",
+        model="gemini-2.5-flash",
         api_key=_get_api_key()
     )
 {{/if}}

src/assets/python/openaiagents/base/main.py

@@ -26,10 +26,11 @@ async def main(query):
     try:
         async with mcp_server as server:
             active_servers = [server] if server else []
-            # Currently defaults to GPT-4.1
-            # https://openai.github.io/openai-agents-python/models/
             agent = Agent(
-                name="{{ name }}", mcp_servers=active_servers, tools=[add_numbers]
+                name="{{ name }}",
+                model="gpt-4.1",
+                mcp_servers=active_servers,
+                tools=[add_numbers]
             )
             result = await Runner.run(agent, query)
             return result

src/assets/python/strands/base/model/load.py

@@ -80,7 +80,7 @@ def load_model() -> OpenAIModel:
     """Get authenticated OpenAI model client."""
     return OpenAIModel(
         client_args={"api_key": _get_api_key()},
-        model_id="gpt-4o",
+        model_id="gpt-4.1",
     )
 {{/if}}
 {{#if (eq modelProvider "Gemini")}}
@@ -118,6 +118,6 @@ def load_model() -> GeminiModel:
     """Get authenticated Gemini model client."""
     return GeminiModel(
         client_args={"api_key": _get_api_key()},
-        model_id="gemini-2.0-flash",
+        model_id="gemini-2.5-flash",
     )
 {{/if}}

src/cli/commands/dev/command.tsx

@@ -58,15 +58,22 @@ export const registerDev = (program: Command) => {
 
           // Determine which agent/port to invoke
           let invokePort = port;
+          let targetAgent = invokeProject?.agents[0];
           if (opts.agent && invokeProject) {
             invokePort = getAgentPort(invokeProject, opts.agent, port);
+            targetAgent = invokeProject.agents.find(a => a.name === opts.agent);
           } else if (invokeProject && invokeProject.agents.length > 1 && !opts.agent) {
             const names = invokeProject.agents.map(a => a.name).join(', ');
             console.error(`Error: Multiple agents found. Use --agent to specify which one.`);
             console.error(`Available: ${names}`);
             process.exit(1);
           }
 
+          // Show model info if available
+          if (targetAgent?.modelProvider) {
+            console.log(`Provider: ${targetAgent.modelProvider}`);
+          }
+
           await invokeDevServer(invokePort, opts.invoke, opts.stream ?? false);
           return;
         }
@@ -129,8 +136,13 @@ export const registerDev = (program: Command) => {
             console.log(`Port ${basePort} in use, using ${actualPort}`);
           }
 
+          // Get provider info from agent config
+          const targetAgent = project.agents.find(a => a.name === config.agentName);
+          const providerInfo = targetAgent?.modelProvider ?? '(see agent code)';
+
           console.log(`Starting dev server...`);
           console.log(`Agent: ${config.agentName}`);
+          console.log(`Provider: ${providerInfo}`);
           console.log(`Server: http://localhost:${actualPort}/invocations`);
           console.log(`Log: ${logger.getRelativeLogPath()}`);
           console.log(`Press Ctrl+C to stop\n`);

src/cli/commands/invoke/action.ts

@@ -78,6 +78,9 @@ export async function handleInvoke(context: InvokeContext, options: InvokeOption
     return { success: false, error: 'No prompt provided. Usage: agentcore invoke "your prompt"' };
   }
 
+  // Get provider info if available
+  const providerInfo = agentSpec.modelProvider;
+
   // Create logger for this invocation
   const logger = new InvokeLogger({
     agentName: agentSpec.name,
@@ -113,6 +116,7 @@ export async function handleInvoke(context: InvokeContext, options: InvokeOption
         targetName: selectedTargetName,
         response: fullResponse,
         logFilePath: logger.logFilePath,
+        providerInfo,
       };
     } catch (err) {
       logger.logError(err, 'invoke streaming failed');
@@ -136,5 +140,6 @@ export async function handleInvoke(context: InvokeContext, options: InvokeOption
     targetName: selectedTargetName,
     response: response.content,
     logFilePath: logger.logFilePath,
+    providerInfo,
   };
 }

src/cli/commands/invoke/command.tsx

@@ -60,7 +60,10 @@ async function handleInvokeCLI(options: InvokeOptions): Promise<void> {
         console.error(`\nLog: ${result.logFilePath}`);
       }
     } else {
-      // Non-streaming, non-json: print response or error
+      // Non-streaming, non-json: print provider info and response or error
+      if (result.providerInfo) {
+        console.error(`Provider: ${result.providerInfo}`);
+      }
       if (result.success && result.response) {
         console.log(result.response);
       } else if (!result.success && result.error) {

src/cli/commands/invoke/types.ts

@@ -14,4 +14,6 @@ export interface InvokeResult {
   response?: string;
   error?: string;
   logFilePath?: string;
+  /** Model provider (e.g., "Anthropic", "Bedrock") */
+  providerInfo?: string;
 }

src/cli/operations/agent/generate/schema-mapper.ts

@@ -112,6 +112,7 @@ export function mapGenerateConfigToAgent(config: GenerateConfig): AgentEnvSpec {
     codeLocation: codeLocation as DirectoryPath,
     runtimeVersion: DEFAULT_PYTHON_VERSION,
     networkMode: DEFAULT_NETWORK_MODE,
+    modelProvider: config.modelProvider,
   };
 }