fix(examples): address review — max_turns ceiling, LITELLM_API_KEY guard, temporal instructions

- Add max_turns=10 to all Runner.run calls (sync/async/temporal + template) so an
  agent with shell access can't loop unbounded.
- LITELLM_API_KEY only sets OPENAI_API_KEY when one isn't already set (don't clobber
  a real key).
- Temporal workflow: instructions no longer call .format(timestamp=...) (the
  placeholder was missing -> no-op, and datetime.now() is non-deterministic inside a
  Temporal workflow); use the static instructions and drop the unused import.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Author: danielmillerp

examples/tutorials/00_sync/050_openai_agents_local_sandbox/project/acp.py

@@ -35,7 +35,7 @@
 # LiteLLM proxy auth: copy LITELLM_API_KEY to OPENAI_API_KEY for OpenAI client
 # compatibility, so the same example works behind the Scale LiteLLM gateway.
 _litellm_key = os.environ.get("LITELLM_API_KEY")
-if _litellm_key:
+if _litellm_key and not os.environ.get("OPENAI_API_KEY"):
     os.environ["OPENAI_API_KEY"] = _litellm_key
 
 SGP_API_KEY = os.environ.get("SGP_API_KEY", "")

examples/tutorials/00_sync/050_openai_agents_local_sandbox/project/agent.py

@@ -88,5 +88,5 @@ async def run_agent(user_message: str) -> str:
     """
     agent = create_agent()
     run_config = create_run_config()
-    result = await Runner.run(agent, input=user_message, run_config=run_config)
+    result = await Runner.run(agent, input=user_message, run_config=run_config, max_turns=10)
     return result.final_output

examples/tutorials/10_async/00_base/120_openai_agents_local_sandbox/project/acp.py

@@ -41,7 +41,7 @@
 # LiteLLM proxy auth: copy LITELLM_API_KEY to OPENAI_API_KEY for OpenAI client
 # compatibility, so the same example works behind the Scale LiteLLM gateway.
 _litellm_key = os.environ.get("LITELLM_API_KEY")
-if _litellm_key:
+if _litellm_key and not os.environ.get("OPENAI_API_KEY"):
     os.environ["OPENAI_API_KEY"] = _litellm_key
 
 add_tracing_processor_config(

examples/tutorials/10_async/00_base/120_openai_agents_local_sandbox/project/agent.py

@@ -92,4 +92,4 @@ async def run_agent(input_list: list) -> "Runner":
     """
     agent = create_agent()
     run_config = create_run_config()
-    return await Runner.run(agent, input=input_list, run_config=run_config)
+    return await Runner.run(agent, input=input_list, run_config=run_config, max_turns=10)

examples/tutorials/10_async/10_temporal/120_openai_agents_local_sandbox/project/workflow.py

@@ -30,7 +30,6 @@
 
 import os
 import json
-from datetime import datetime
 
 from agents import Runner
 from temporalio import workflow
@@ -147,9 +146,7 @@ async def on_task_event_send(self, params: SendEventParams) -> None:
             agent = SandboxAgent(
                 name="Local Sandbox Assistant",
                 model=MODEL_NAME,
-                instructions=INSTRUCTIONS.format(
-                    timestamp=datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-                ),
+                instructions=INSTRUCTIONS,
                 capabilities=[Shell()],
             )
 
@@ -177,6 +174,7 @@ async def on_task_event_send(self, params: SendEventParams) -> None:
                 self._state.input_list,
                 run_config=run_config,
                 hooks=TemporalStreamingHooks(task_id=params.task.id),
+                max_turns=10,
             )
 
             # IMPORTANT: We do NOT post the assistant message ourselves here.

src/agentex/lib/cli/templates/sync-openai-agents-local-sandbox/project/acp.py.j2

@@ -35,7 +35,7 @@ logger = make_logger(__name__)
 # LiteLLM proxy auth: copy LITELLM_API_KEY to OPENAI_API_KEY for OpenAI client
 # compatibility, so the same agent works behind the Scale LiteLLM gateway.
 _litellm_key = os.environ.get("LITELLM_API_KEY")
-if _litellm_key:
+if _litellm_key and not os.environ.get("OPENAI_API_KEY"):
     os.environ["OPENAI_API_KEY"] = _litellm_key
 
 SGP_API_KEY = os.environ.get("SGP_API_KEY", "")

src/agentex/lib/cli/templates/sync-openai-agents-local-sandbox/project/agent.py.j2

@@ -87,5 +87,5 @@ async def run_agent(user_message: str) -> str:
     """
     agent = create_agent()
     run_config = create_run_config()
-    result = await Runner.run(agent, input=user_message, run_config=run_config)
+    result = await Runner.run(agent, input=user_message, run_config=run_config, max_turns=10)
     return result.final_output