diff --git a/archytas/models/base.py b/archytas/models/base.py
index 2e18da3..13c6145 100644
--- a/archytas/models/base.py
+++ b/archytas/models/base.py
@@ -194,11 +194,16 @@ def initialize_model(self, **kwargs):
         ...
 
     def invoke(self, input, *, config=None, stop=None, agent_tools=None, **kwargs):
+        # agent_tools is consumed here, not forwarded. LangChain passes unknown
+        # kwargs through to the provider payload, where the OpenAI client
+        # rejects it: TypeError: Completions.create() got an unexpected keyword
+        # argument 'agent_tools'. Mirrors ainvoke.
+        if self.lc_tools is None and agent_tools is not None:
+            self.set_tools(agent_tools)
         result = self.model.invoke(
             self._preprocess_messages(input),
             config,
             stop=stop,
-            agent_tools=agent_tools,
             **kwargs
         )
         return result
diff --git a/tests/test_sync_invoke_agent_tools.py b/tests/test_sync_invoke_agent_tools.py
new file mode 100644
index 0000000..e61bb00
--- /dev/null
+++ b/tests/test_sync_invoke_agent_tools.py
@@ -0,0 +1,68 @@
+"""BaseArchytasModel.invoke must not forward agent_tools to the provider.
+
+agent_tools is an archytas-level argument. LangChain passes kwargs it does not
+recognize straight into the provider request, so forwarding it reaches the
+OpenAI client as an unexpected keyword and raises TypeError before any request
+is made. It was forwarded unconditionally, including as None, so every sync
+caller hit it regardless of whether tools were passed (for example
+beaker-notebook's streamline exporter, used by its AI export). ainvoke has
+always consumed it.
+"""
+from types import SimpleNamespace
+
+import pytest
+
+from archytas.models.base import BaseArchytasModel, ModelConfig
+
+
+class StrictChatModel:
+    """Chat model that rejects unknown kwargs, as the OpenAI client does."""
+
+    def __init__(self):
+        self.bound_tools = None
+        self.invoke_kwargs = None
+
+    def bind_tools(self, tools):
+        self.bound_tools = tools
+        return self
+
+    def invoke(self, input=None, config=None, *, stop=None):
+        self.invoke_kwargs = {"stop": stop}
+        return SimpleNamespace(content="ok")
+
+
+class StrictModel(BaseArchytasModel):
+    DEFAULT_MODEL = "strict-fake"
+
+    def __init__(self, **kwargs):
+        super().__init__(ModelConfig(model_name="strict-fake"), **kwargs)
+
+    def initialize_model(self, **kwargs):
+        return StrictChatModel()
+
+
+@pytest.mark.unit
+def test_invoke_does_not_forward_agent_tools():
+    model = StrictModel()
+    # An empty tool dict is enough: it is not None, so it takes the same branch
+    # a real tool set does, without needing tool objects to convert.
+    result = model.invoke(["hello"], agent_tools={})
+    assert result.content == "ok"
+    assert model._model.invoke_kwargs == {"stop": None}
+
+
+@pytest.mark.unit
+def test_invoke_binds_tools_like_ainvoke():
+    model = StrictModel()
+    assert model.lc_tools is None
+    model.invoke(["hello"], agent_tools={})
+    assert model.lc_tools is not None
+    assert model._model.bound_tools is model.lc_tools
+
+
+@pytest.mark.unit
+def test_invoke_without_agent_tools_leaves_tools_unbound():
+    model = StrictModel()
+    model.invoke(["hello"])
+    assert model.lc_tools is None
+    assert model._model.bound_tools is None