feat(llm): switch model profile on user message

examples/01_standalone_sdk/44_model_switching_in_convo.py

@@ -0,0 +1,51 @@
+"""Mid-conversation model switching.
+
+Usage:
+    uv run examples/01_standalone_sdk/44_model_switching_in_convo.py
+"""
+
+import os
+
+from openhands.sdk import LLM, Agent, LocalConversation, Tool
+from openhands.sdk.llm.llm_profile_store import LLMProfileStore
+from openhands.tools.terminal import TerminalTool
+
+
+LLM_API_KEY = os.getenv("LLM_API_KEY")
+store = LLMProfileStore()
+
+store.save(
+    "gpt",
+    LLM(model="openhands/gpt-5.2", api_key=LLM_API_KEY),
+    include_secrets=True,
+)
+
+agent = Agent(
+    llm=LLM(
+        model=os.getenv("LLM_MODEL", "openhands/claude-sonnet-4-5-20250929"),
+        api_key=LLM_API_KEY,
+    ),
+    tools=[Tool(name=TerminalTool.name)],
+)
+conversation = LocalConversation(agent=agent, workspace=os.getcwd())
+
+# Send a message with the default model
+conversation.send_message("Say hello in one sentence.")
+conversation.run()
+
+# Switch to a different model and send another message
+conversation.switch_profile("gpt")
+print(f"Switched to: {conversation.agent.llm.model}")
+
+conversation.send_message("Say goodbye in one sentence.")
+conversation.run()
+
+# Print metrics per model
+for usage_id, metrics in conversation.state.stats.usage_to_metrics.items():
+    print(f"  [{usage_id}] cost=${metrics.accumulated_cost:.6f}")
+
+combined = conversation.state.stats.get_combined_metrics()
+print(f"Total cost: ${combined.accumulated_cost:.6f}")
+print(f"EXAMPLE_COST: {combined.accumulated_cost}")
+
+store.delete("gpt")

openhands-sdk/openhands/sdk/conversation/impl/local_conversation.py

@@ -33,6 +33,7 @@
 from openhands.sdk.event.conversation_error import ConversationErrorEvent
 from openhands.sdk.hooks import HookConfig, HookEventProcessor, create_hook_callback
 from openhands.sdk.llm import LLM, Message, TextContent
+from openhands.sdk.llm.llm_profile_store import LLMProfileStore
 from openhands.sdk.llm.llm_registry import LLMRegistry
 from openhands.sdk.logger import get_logger
 from openhands.sdk.observability.laminar import observe
@@ -250,6 +251,7 @@ def _default_callback(e):
         # Agent initialization is deferred to _ensure_agent_ready() for lazy loading
         # This ensures plugins are loaded before agent initialization
         self.llm_registry = LLMRegistry()
+        self._profile_store = LLMProfileStore()
 
         # Initialize secrets if provided
         if secrets:
@@ -464,11 +466,37 @@ def _ensure_agent_ready(self) -> None:
 
             # Register LLMs in the registry (still holding lock)
             self.llm_registry.subscribe(self._state.stats.register_llm)
+            registered = set(self.llm_registry.list_usage_ids())
             for llm in list(self.agent.get_all_llms()):
-                self.llm_registry.add(llm)
+                if llm.usage_id not in registered:
+                    self.llm_registry.add(llm)
 
             self._agent_ready = True
 
+    def switch_profile(self, profile_name: str) -> None:
+        """Switch the agent's LLM to a named profile.
+
+        Loads the profile from the LLMProfileStore (cached in the registry
+        after the first load) and updates the agent and conversation state.
+
+        Args:
+            profile_name: Name of a profile previously saved via LLMProfileStore.
+
+        Raises:
+            FileNotFoundError: If the profile does not exist.
+            ValueError: If the profile is corrupted or invalid.
+        """
+        usage_id = f"profile:{profile_name}"
+        try:
+            new_llm = self.llm_registry.get(usage_id)
+        except KeyError:
+            new_llm = self._profile_store.load(profile_name)
+            new_llm = new_llm.model_copy(update={"usage_id": usage_id})
+            self.llm_registry.add(new_llm)
+        with self._state:
+            self.agent = self.agent.model_copy(update={"llm": new_llm})
+            self._state.agent = self.agent
+
     @observe(name="conversation.send_message")
     def send_message(self, message: str | Message, sender: str | None = None) -> None:
         """Send a message to the agent.
@@ -484,7 +512,6 @@ def send_message(self, message: str | Message, sender: str | None = None) -> Non
         # Ensure agent is fully initialized (loads plugins and initializes agent)
         self._ensure_agent_ready()
 
-        # Convert string to Message if needed
         if isinstance(message, str):
             message = Message(role="user", content=[TextContent(text=message)])
 

tests/sdk/conversation/test_switch_model.py

@@ -0,0 +1,102 @@
+from pathlib import Path
+
+import pytest
+
+from openhands.sdk import LLM, LocalConversation
+from openhands.sdk.agent import Agent
+from openhands.sdk.llm import llm_profile_store
+from openhands.sdk.llm.llm_profile_store import LLMProfileStore
+from openhands.sdk.testing import TestLLM
+
+
+def _make_llm(model: str, usage_id: str) -> LLM:
+    return TestLLM.from_messages([], model=model, usage_id=usage_id)
+
+
+@pytest.fixture()
+def profile_store(tmp_path, monkeypatch):
+    """
+    Create a temp profile store with 'fast' and
+    'slow' profiles saved via _make_llm.
+    """
+
+    profile_dir = tmp_path / "profiles"
+    profile_dir.mkdir()
+    monkeypatch.setattr(llm_profile_store, "_DEFAULT_PROFILE_DIR", profile_dir)
+
+    store = LLMProfileStore(base_dir=profile_dir)
+    store.save("fast", _make_llm("fast-model", "fast"))
+    store.save("slow", _make_llm("slow-model", "slow"))
+    return store
+
+
+def _make_conversation() -> LocalConversation:
+    return LocalConversation(
+        agent=Agent(
+            llm=_make_llm("default-model", "test-llm"),
+            tools=[],
+        ),
+        workspace=Path.cwd(),
+    )
+
+
+def test_switch_profile(profile_store):
+    """switch_profile switches the agent's LLM."""
+    conv = _make_conversation()
+    conv.switch_profile("fast")
+    assert conv.agent.llm.model == "fast-model"
+    conv.switch_profile("slow")
+    assert conv.agent.llm.model == "slow-model"
+
+
+def test_switch_profile_updates_state(profile_store):
+    """switch_profile updates conversation state agent."""
+    conv = _make_conversation()
+    conv.switch_profile("fast")
+    assert conv.state.agent.llm.model == "fast-model"
+
+
+def test_switch_between_profiles(profile_store):
+    """Switch fast -> slow -> fast, verify model changes each time."""
+    conv = _make_conversation()
+
+    conv.switch_profile("fast")
+    assert conv.agent.llm.model == "fast-model"
+
+    conv.switch_profile("slow")
+    assert conv.agent.llm.model == "slow-model"
+
+    conv.switch_profile("fast")
+    assert conv.agent.llm.model == "fast-model"
+
+
+def test_switch_reuses_registry_entry(profile_store):
+    """Switching back to a profile reuses the same registry LLM object."""
+    conv = _make_conversation()
+
+    conv.switch_profile("fast")
+    llm_first = conv.llm_registry.get("profile:fast")
+
+    conv.switch_profile("slow")
+    conv.switch_profile("fast")
+    llm_second = conv.llm_registry.get("profile:fast")
+
+    assert llm_first is llm_second
+
+
+def test_switch_nonexistent_raises(profile_store):
+    """Switching to a nonexistent profile raises FileNotFoundError."""
+    conv = _make_conversation()
+    with pytest.raises(FileNotFoundError):
+        conv.switch_profile("nonexistent")
+    assert conv.agent.llm.model == "default-model"
+    assert conv.state.agent.llm.model == "default-model"
+
+
+def test_switch_then_send_message(profile_store):
+    """switch_profile followed by send_message doesn't crash on registry collision."""
+    conv = _make_conversation()
+    conv.switch_profile("fast")
+    # send_message triggers _ensure_agent_ready which re-registers agent LLMs;
+    # the switched LLM must not cause a duplicate registration error.
+    conv.send_message("hello")