diff --git a/mellea/backends/litellm.py b/mellea/backends/litellm.py
index e49eee583..6bd0df273 100644
--- a/mellea/backends/litellm.py
+++ b/mellea/backends/litellm.py
@@ -37,6 +37,7 @@
     extract_model_tool_requests,
     get_current_event_loop,
     message_to_openai_message,
+    messages_to_docs,
     send_to_queue,
 )
 from ..stdlib.components import Message
@@ -322,6 +323,8 @@ async def _generate_from_chat_context_standard(
             conversation.append({"role": "system", "content": system_prompt})
         conversation.extend([message_to_openai_message(m) for m in messages])
 
+        docs = messages_to_docs(messages)
+
         extra_params: dict[str, Any] = {}
         if _format is not None:
             extra_params["response_format"] = {
@@ -359,6 +362,7 @@ async def _generate_from_chat_context_standard(
             model=self._model_id,
             messages=conversation,
             tools=formatted_tools,
+            extra_body={"documents": docs} if docs else None,
             reasoning_effort=thinking,  # type: ignore
             drop_params=True,  # See note in `_make_backend_specific_and_remove`.
             **extra_params,
diff --git a/mellea/backends/openai.py b/mellea/backends/openai.py
index 1817a978a..ea7f1835b 100644
--- a/mellea/backends/openai.py
+++ b/mellea/backends/openai.py
@@ -460,6 +460,8 @@ async def _generate_from_chat_context_standard(
             conversation.append({"role": "system", "content": system_prompt})
         conversation.extend([message_to_openai_message(m) for m in messages])
 
+        docs = messages_to_docs(messages)
+
         extra_params: dict[str, Any] = {}
         if _format is not None:
             if self._server_type == _ServerType.OPENAI:
@@ -535,6 +537,7 @@ async def _generate_from_chat_context_standard(
             model=self._model_id,
             messages=conversation,  # type: ignore
             tools=formatted_tools if use_tools else None,  # type: ignore
+            extra_body={"documents": docs} if docs else None,
             # parallel_tool_calls=False, # We only support calling one tool per turn. But we do the choosing on our side so we leave this False.
             **extra_params,
             **reasoning_params,  # type: ignore
diff --git a/test/backends/test_document_passthrough.py b/test/backends/test_document_passthrough.py
new file mode 100644
index 000000000..a21616177
--- /dev/null
+++ b/test/backends/test_document_passthrough.py
@@ -0,0 +1,102 @@
+"""Unit tests verifying that documents on Messages reach the API call.
+
+Covers OpenAIBackend _generate_from_chat_context_standard to ensure that
+Message.documents are extracted via messages_to_docs() and forwarded as
+extra_body={"documents": [...]}.
+"""
+
+import asyncio
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from mellea.backends.openai import OpenAIBackend
+from mellea.stdlib.components import Message
+from mellea.stdlib.components.docs import Document
+from mellea.stdlib.context import ChatContext
+
+
+def _make_openai_backend() -> OpenAIBackend:
+    return OpenAIBackend(
+        model_id="gpt-4o", api_key="fake-key", base_url="http://localhost:9999/v1"
+    )
+
+
+def _build_context_with_docs(docs: list[Document] | None = None) -> ChatContext:
+    ctx = ChatContext()
+    ctx = ctx.add(Message("user", "What is in the document?", documents=docs))
+    return ctx
+
+
+def _fake_openai_response() -> MagicMock:
+    resp = MagicMock()
+    resp.choices = [MagicMock()]
+    resp.choices[0].message.content = "ok"
+    resp.choices[0].message.tool_calls = None
+    resp.choices[0].finish_reason = "stop"
+    resp.usage = MagicMock(prompt_tokens=10, completion_tokens=5, total_tokens=15)
+    resp.usage.prompt_tokens_details = None
+    return resp
+
+
+@pytest.mark.integration
+class TestOpenAIDocumentPassthrough:
+    def test_documents_passed_as_extra_body(self):
+        backend = _make_openai_backend()
+        docs = [
+            Document(text="The sky is blue.", title="Facts", doc_id="d1"),
+            Document(text="Water is wet."),
+        ]
+        ctx = _build_context_with_docs(docs)
+
+        captured_kwargs: dict = {}
+
+        async def fake_create(**kwargs):
+            captured_kwargs.update(kwargs)
+            return _fake_openai_response()
+
+        mock_client = MagicMock()
+        mock_client.chat.completions.create = fake_create
+
+        with patch.object(
+            type(backend),
+            "_async_client",
+            new_callable=lambda: property(lambda self: mock_client),
+        ):
+            action = Message("user", "Summarise the documents.")
+            asyncio.get_event_loop().run_until_complete(
+                backend._generate_from_chat_context_standard(action, ctx)
+            )
+
+        assert "extra_body" in captured_kwargs
+        assert captured_kwargs["extra_body"] == {
+            "documents": [
+                {"text": "The sky is blue.", "title": "Facts", "doc_id": "d1"},
+                {"text": "Water is wet."},
+            ]
+        }
+
+    def test_no_documents_no_extra_body(self):
+        backend = _make_openai_backend()
+        ctx = _build_context_with_docs(None)
+
+        captured_kwargs: dict = {}
+
+        async def fake_create(**kwargs):
+            captured_kwargs.update(kwargs)
+            return _fake_openai_response()
+
+        mock_client = MagicMock()
+        mock_client.chat.completions.create = fake_create
+
+        with patch.object(
+            type(backend),
+            "_async_client",
+            new_callable=lambda: property(lambda self: mock_client),
+        ):
+            action = Message("user", "Hello.")
+            asyncio.get_event_loop().run_until_complete(
+                backend._generate_from_chat_context_standard(action, ctx)
+            )
+
+        assert captured_kwargs.get("extra_body") is None