v1.2.2

Co-Authored-By: Quentin Torroba <quentin.torroba@mistral.ai>
Co-Authored-By: Michel Thomazo <michel.thomazo@mistral.ai>

.github/workflows/build-and-upload.yml

@@ -108,12 +108,17 @@ jobs:
         with:
           path: artifacts
 
-      - name: Zip artifacts like GitHub UI
+      - name: Zip artifacts
         run: |
           mkdir release-assets
           for dir in artifacts/*; do
             name=$(basename "$dir")
-            (cd artifacts && zip -r "../release-assets/${name}.zip" "$name")
+            if [ -f "$dir/vibe-acp" ]; then
+              chmod +x "$dir/vibe-acp"
+              zip -j "release-assets/${name}.zip" "$dir/vibe-acp"
+            elif [ -f "$dir/vibe-acp.exe" ]; then
+              zip -j "release-assets/${name}.zip" "$dir/vibe-acp.exe"
+            fi
           done
 
       - name: Attach binaries to release

.vscode/launch.json

@@ -1,5 +1,5 @@
 {
-  "version": "1.2.1",
+  "version": "1.2.2",
   "configurations": [
     {
       "name": "ACP Server",

CHANGELOG.md

@@ -5,6 +5,14 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [1.2.2] - 2025-12-22
+
+### Fixed
+
+- Remove dead code
+- Fix artefacts automatically attached to the release
+- Refactor agent post streaming
+
 ## [1.2.1] - 2025-12-18
 
 ### Fixed

distribution/zed/extension.toml

@@ -1,7 +1,7 @@
 id = "mistral-vibe"
 name = "Mistral Vibe"
 description = "Mistral's open-source coding assistant"
-version = "1.2.1"
+version = "1.2.2"
 schema_version = 1
 authors = ["Mistral AI"]
 repository = "https://github.com/mistralai/mistral-vibe"
@@ -11,25 +11,25 @@ name = "Mistral Vibe"
 icon = "./icons/mistral_vibe.svg"
 
 [agent_servers.mistral-vibe.targets.darwin-aarch64]
-archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.1/vibe-acp-darwin-aarch64-1.2.1.zip"
+archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.2/vibe-acp-darwin-aarch64-1.2.2.zip"
 cmd = "./vibe-acp"
 
 [agent_servers.mistral-vibe.targets.darwin-x86_64]
-archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.1/vibe-acp-darwin-x86_64-1.2.1.zip"
+archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.2/vibe-acp-darwin-x86_64-1.2.2.zip"
 cmd = "./vibe-acp"
 
 [agent_servers.mistral-vibe.targets.linux-aarch64]
-archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.1/vibe-acp-linux-aarch64-1.2.1.zip"
+archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.2/vibe-acp-linux-aarch64-1.2.2.zip"
 cmd = "./vibe-acp"
 
 [agent_servers.mistral-vibe.targets.linux-x86_64]
-archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.1/vibe-acp-linux-x86_64-1.2.1.zip"
+archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.2/vibe-acp-linux-x86_64-1.2.2.zip"
 cmd = "./vibe-acp"
 
 [agent_servers.mistral-vibe.targets.windows-aarch64]
-archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.1/vibe-acp-windows-aarch64-1.2.1.zip"
+archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.2/vibe-acp-windows-aarch64-1.2.2.zip"
 cmd = "./vibe-acp.exe"
 
 [agent_servers.mistral-vibe.targets.windows-x86_64]
-archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.1/vibe-acp-windows-x86_64-1.2.1.zip"
+archive = "https://github.com/mistralai/mistral-vibe/releases/download/v1.2.2/vibe-acp-windows-x86_64-1.2.2.zip"
 cmd = "./vibe-acp.exe"

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "mistral-vibe"
-version = "1.2.1"
+version = "1.2.2"
 description = "Minimal CLI coding agent by Mistral"
 readme = "README.md"
 requires-python = ">=3.12"

tests/acp/test_acp.py

@@ -426,7 +426,7 @@ class TestSessionManagement:
 class TestSessionUpdates:
     @pytest.mark.asyncio
     async def test_agent_message_chunk_structure(self, vibe_home_dir: Path) -> None:
-        mock_env = get_mocking_env([mock_llm_chunk(content="Hi") for _ in range(2)])
+        mock_env = get_mocking_env([mock_llm_chunk(content="Hi")])
         async for process in get_acp_agent_process(
             mock_env=mock_env, vibe_home=vibe_home_dir
         ):
@@ -465,7 +465,6 @@ class TestSessionUpdates:
     @pytest.mark.asyncio
     async def test_tool_call_update_structure(self, vibe_home_dir: Path) -> None:
         mock_env = get_mocking_env([
-            mock_llm_chunk(content="Hey"),
             mock_llm_chunk(
                 tool_calls=[
                     ToolCall(
@@ -475,14 +474,9 @@ class TestSessionUpdates:
                         type="function",
                         index=0,
                     )
-                ],
+                ]
-                name="bash",
-                finish_reason="tool_calls",
-            ),
-            mock_llm_chunk(
-                content="The files containing the pattern 'auth' are ...",
-                finish_reason="stop",
             ),
+            mock_llm_chunk(content="The files containing the pattern 'auth' are ..."),
         ])
         async for process in get_acp_agent_process(
             mock_env=mock_env, vibe_home=vibe_home_dir
@@ -567,7 +561,6 @@ class TestToolCallStructure:
         self, vibe_home_grep_ask: Path
     ) -> None:
         custom_results = [
-            mock_llm_chunk(content="Hey"),
             mock_llm_chunk(
                 tool_calls=[
                     ToolCall(
@@ -578,10 +571,8 @@ class TestToolCallStructure:
                         type="function",
                         index=0,
                     )
-                ],
+                ]
-                name="grep",
+            )
-                finish_reason="tool_calls",
-            ),
         ]
         mock_env = get_mocking_env(custom_results)
         async for process in get_acp_agent_process(
@@ -628,7 +619,6 @@ class TestToolCallStructure:
         self, vibe_home_grep_ask: Path
     ) -> None:
         custom_results = [
-            mock_llm_chunk(content="Hey"),
             mock_llm_chunk(
                 tool_calls=[
                     ToolCall(
@@ -639,13 +629,10 @@ class TestToolCallStructure:
                         type="function",
                         index=0,
                     )
-                ],
+                ]
-                name="grep",
-                finish_reason="tool_calls",
-            ),
-            mock_llm_chunk(
-                content="The search for 'auth' has been completed", finish_reason="stop"
             ),
+            mock_llm_chunk(content="The search for 'auth' has been completed"),
+            mock_llm_chunk(content="The file test.txt has been created"),
         ]
         mock_env = get_mocking_env(custom_results)
         async for process in get_acp_agent_process(
@@ -692,7 +679,6 @@ class TestToolCallStructure:
         self, vibe_home_grep_ask: Path
     ) -> None:
         custom_results = [
-            mock_llm_chunk(content="Hey"),
             mock_llm_chunk(
                 tool_calls=[
                     ToolCall(
@@ -703,14 +689,11 @@ class TestToolCallStructure:
                         type="function",
                         index=0,
                     )
-                ],
+                ]
-                name="grep",
-                finish_reason="tool_calls",
             ),
             mock_llm_chunk(
                 content="The search for 'auth' has not been performed, "
-                "because you rejected the permission request",
+                "because you rejected the permission request"
-                finish_reason="stop",
             ),
         ]
         mock_env = get_mocking_env(custom_results)
@@ -759,7 +742,6 @@ class TestToolCallStructure:
         self, vibe_home_grep_ask: Path
     ) -> None:
         custom_results = [
-            mock_llm_chunk(content="Hey"),
             mock_llm_chunk(
                 tool_calls=[
                     ToolCall(
@@ -770,13 +752,10 @@ class TestToolCallStructure:
                         type="function",
                         index=0,
                     )
-                ],
+                ]
-                name="grep",
-                finish_reason="tool_calls",
-            ),
-            mock_llm_chunk(
-                content="The search for 'auth' has been completed", finish_reason="stop"
             ),
+            mock_llm_chunk(content="The search for 'auth' has been completed"),
+            mock_llm_chunk(content="The command sleep 3 has been run"),
         ]
         mock_env = get_mocking_env(custom_results)
         async for process in get_acp_agent_process(
@@ -820,7 +799,6 @@ class TestToolCallStructure:
         self, vibe_home_grep_ask: Path
     ) -> None:
         custom_results = [
-            mock_llm_chunk(content="Hey"),
             mock_llm_chunk(
                 tool_calls=[
                     ToolCall(
@@ -831,14 +809,11 @@ class TestToolCallStructure:
                         type="function",
                         index=0,
                     )
-                ],
+                ]
-                name="grep",
-                finish_reason="tool_calls",
             ),
             mock_llm_chunk(
                 content="The search for 'auth' has failed "
-                "because the path does not exist",
+                "because the path does not exist"
-                finish_reason="stop",
             ),
         ]
         mock_env = get_mocking_env(custom_results)
@@ -894,7 +869,6 @@ class TestCancellationStructure:
         self, vibe_home_dir: Path
     ) -> None:
         custom_results = [
-            mock_llm_chunk(content="Hey"),
             mock_llm_chunk(
                 tool_calls=[
                     ToolCall(
@@ -906,14 +880,11 @@ class TestCancellationStructure:
                         type="function",
                         index=0,
                     )
-                ],
+                ]
-                name="write_file",
-                finish_reason="tool_calls",
             ),
             mock_llm_chunk(
                 content="The file test.txt has not been created, "
-                "because you cancelled the permission request",
+                "because you cancelled the permission request"
-                finish_reason="stop",
             ),
         ]
         mock_env = get_mocking_env(custom_results)

tests/acp/test_content.py

@@ -22,13 +22,10 @@ from vibe.core.types import LLMChunk, LLMMessage, LLMUsage, Role
 @pytest.fixture
 def backend() -> FakeBackend:
     backend = FakeBackend(
-        results=[
         LLMChunk(
             message=LLMMessage(role=Role.assistant, content="Hi"),
-                finish_reason="end_turn",
             usage=LLMUsage(prompt_tokens=1, completion_tokens=1),
         )
-        ]
     )
     return backend
 

tests/acp/test_initialize.py

@@ -41,7 +41,7 @@ class TestACPInitialize:
             ),
         )
         assert response.agentInfo == Implementation(
-            name="@mistralai/mistral-vibe", title="Mistral Vibe", version="1.2.1"
+            name="@mistralai/mistral-vibe", title="Mistral Vibe", version="1.2.2"
         )
 
         assert response.authMethods == []
@@ -63,7 +63,7 @@ class TestACPInitialize:
             ),
         )
         assert response.agentInfo == Implementation(
-            name="@mistralai/mistral-vibe", title="Mistral Vibe", version="1.2.1"
+            name="@mistralai/mistral-vibe", title="Mistral Vibe", version="1.2.2"
         )
 
         assert response.authMethods is not None

tests/acp/test_multi_session.py

@@ -116,9 +116,9 @@ class TestMultiSessionCore:
         )
         session2 = acp_agent.sessions[session2_response.sessionId]
 
-        backend._chunks = [
+        backend._streams = [
-            mock_llm_chunk(content="Response 1", finish_reason="stop"),
+            [mock_llm_chunk(content="Response 1")],
-            mock_llm_chunk(content="Response 2", finish_reason="stop"),
+            [mock_llm_chunk(content="Response 2")],
         ]
 
         async def run_session1():

tests/acp/test_new_session.py

@@ -18,13 +18,10 @@ from vibe.core.types import LLMChunk, LLMMessage, LLMUsage, Role
 @pytest.fixture
 def backend() -> FakeBackend:
     backend = FakeBackend(
-        results=[
         LLMChunk(
             message=LLMMessage(role=Role.assistant, content="Hi"),
-                finish_reason="end_turn",
             usage=LLMUsage(prompt_tokens=1, completion_tokens=1),
         )
-        ]
     )
     return backend
 

tests/acp/test_set_mode.py

@@ -17,13 +17,10 @@ from vibe.core.types import LLMChunk, LLMMessage, LLMUsage, Role
 @pytest.fixture
 def backend() -> FakeBackend:
     backend = FakeBackend(
-        results=[
         LLMChunk(
             message=LLMMessage(role=Role.assistant, content="Hi"),
-                finish_reason="end_turn",
             usage=LLMUsage(prompt_tokens=1, completion_tokens=1),
         )
-        ]
     )
     return backend
 

tests/acp/test_set_model.py

@@ -17,13 +17,10 @@ from vibe.core.types import LLMChunk, LLMMessage, LLMUsage, Role
 @pytest.fixture
 def backend() -> FakeBackend:
     backend = FakeBackend(
-        results=[
         LLMChunk(
             message=LLMMessage(role=Role.assistant, content="Hi"),
-                finish_reason="end_turn",
             usage=LLMUsage(prompt_tokens=1, completion_tokens=1),
         )
-        ]
     )
     return backend
 

tests/backend/data/fireworks.py

@@ -30,7 +30,6 @@ SIMPLE_CONVERSATION_PARAMS: list[tuple[Url, JsonResponse, ResultData]] = [
         },
         {
             "message": "Some content",
-            "finish_reason": "stop",
             "usage": {
                 "prompt_tokens": 100,
                 "total_tokens": 300,
@@ -78,7 +77,6 @@ TOOL_CONVERSATION_PARAMS: list[tuple[Url, JsonResponse, ResultData]] = [
         },
         {
             "message": "",
-            "finish_reason": "tool_calls",
             "tool_calls": [
                 {
                     "name": "some_tool",
@@ -102,26 +100,13 @@ STREAMED_SIMPLE_CONVERSATION_PARAMS: list[tuple[Url, list[Chunk], list[ResultDat
             rb"data: [DONE]",
         ],
         [
-            {
+            {"message": "", "usage": {"prompt_tokens": 0, "completion_tokens": 0}},
-                "message": "",
+            {"message": "", "usage": {"prompt_tokens": 0, "completion_tokens": 0}},
-                "finish_reason": None,
-                "usage": {"prompt_tokens": 0, "completion_tokens": 0},
-            },
-            {
-                "message": "",
-                "finish_reason": None,
-                "usage": {"prompt_tokens": 0, "completion_tokens": 0},
-            },
             {
                 "message": "Some content",
-                "finish_reason": None,
                 "usage": {"prompt_tokens": 0, "completion_tokens": 0},
             },
-            {
+            {"message": "", "usage": {"prompt_tokens": 100, "completion_tokens": 200}},
-                "message": "",
-                "finish_reason": "stop",
-                "usage": {"prompt_tokens": 100, "completion_tokens": 200},
-            },
         ],
     )
 ]
@@ -140,30 +125,19 @@ STREAMED_TOOL_CONVERSATION_PARAMS: list[tuple[Url, list[Chunk], list[ResultData]
             rb"data: [DONE]",
         ],
         [
-            {
+            {"message": "", "usage": {"prompt_tokens": 0, "completion_tokens": 0}},
-                "message": "",
+            {"message": "", "usage": {"prompt_tokens": 0, "completion_tokens": 0}},
-                "finish_reason": None,
-                "usage": {"prompt_tokens": 0, "completion_tokens": 0},
-            },
-            {
-                "message": "",
-                "finish_reason": None,
-                "usage": {"prompt_tokens": 0, "completion_tokens": 0},
-            },
             {
                 "message": "Some content",
-                "finish_reason": None,
                 "usage": {"prompt_tokens": 0, "completion_tokens": 0},
             },
             {
                 "message": "",
-                "finish_reason": None,
                 "tool_calls": [{"name": "some_tool", "arguments": None, "index": 0}],
                 "usage": {"prompt_tokens": 0, "completion_tokens": 0},
             },
             {
                 "message": "",
-                "finish_reason": None,
                 "tool_calls": [
                     {
                         "name": None,
@@ -173,11 +147,7 @@ STREAMED_TOOL_CONVERSATION_PARAMS: list[tuple[Url, list[Chunk], list[ResultData]
                 ],
                 "usage": {"prompt_tokens": 0, "completion_tokens": 0},
             },
-            {
+            {"message": "", "usage": {"prompt_tokens": 100, "completion_tokens": 200}},
-                "message": "",
-                "finish_reason": "tool_calls",
-                "usage": {"prompt_tokens": 100, "completion_tokens": 200},
-            },
         ],
     )
 ]

tests/backend/data/mistral.py

@@ -29,7 +29,6 @@ SIMPLE_CONVERSATION_PARAMS: list[tuple[Url, JsonResponse, ResultData]] = [
         },
         {
             "message": "Some content",
-            "finish_reason": "stop",
             "usage": {
                 "prompt_tokens": 100,
                 "total_tokens": 300,
@@ -75,7 +74,6 @@ TOOL_CONVERSATION_PARAMS: list[tuple[Url, JsonResponse, ResultData]] = [
         },
         {
             "message": "Some content",
-            "finish_reason": "tool_calls",
             "tool_calls": [
                 {
                     "name": "some_tool",
@@ -98,21 +96,12 @@ STREAMED_SIMPLE_CONVERSATION_PARAMS: list[tuple[Url, list[Chunk], list[ResultDat
             rb"data: [DONE]",
         ],
         [
-            {
+            {"message": "", "usage": {"prompt_tokens": 0, "completion_tokens": 0}},
-                "message": "",
-                "finish_reason": None,
-                "usage": {"prompt_tokens": 0, "completion_tokens": 0},
-            },
             {
                 "message": "Some content",
-                "finish_reason": None,
                 "usage": {"prompt_tokens": 0, "completion_tokens": 0},
             },
-            {
+            {"message": "", "usage": {"prompt_tokens": 100, "completion_tokens": 200}},
-                "message": "",
-                "finish_reason": "stop",
-                "usage": {"prompt_tokens": 100, "completion_tokens": 200},
-            },
         ],
     )
 ]
@@ -131,25 +120,18 @@ STREAMED_TOOL_CONVERSATION_PARAMS: list[tuple[Url, list[Chunk], list[ResultData]
             rb"data: [DONE]",
         ],
         [
-            {
+            {"message": "", "usage": {"prompt_tokens": 0, "completion_tokens": 0}},
-                "message": "",
-                "finish_reason": None,
-                "usage": {"prompt_tokens": 0, "completion_tokens": 0},
-            },
             {
                 "message": "Some content",
-                "finish_reason": None,
                 "usage": {"prompt_tokens": 0, "completion_tokens": 0},
             },
             {
                 "message": "",
-                "finish_reason": None,
                 "tool_calls": [{"name": "some_tool", "arguments": "", "index": 0}],
                 "usage": {"prompt_tokens": 0, "completion_tokens": 0},
             },
             {
                 "message": "",
-                "finish_reason": None,
                 "tool_calls": [
                     {"name": "", "arguments": '{"some_argument": ', "index": 0}
                 ],
@@ -157,17 +139,12 @@ STREAMED_TOOL_CONVERSATION_PARAMS: list[tuple[Url, list[Chunk], list[ResultData]
             },
             {
                 "message": "",
-                "finish_reason": None,
                 "tool_calls": [
                     {"name": "", "arguments": '"some_argument_value"}', "index": 0}
                 ],
                 "usage": {"prompt_tokens": 0, "completion_tokens": 0},
             },
-            {
+            {"message": "", "usage": {"prompt_tokens": 100, "completion_tokens": 200}},
-                "message": "",
-                "finish_reason": "tool_calls",
-                "usage": {"prompt_tokens": 100, "completion_tokens": 200},
-            },
         ],
     )
 ]

tests/backend/test_backend.py

@@ -87,7 +87,6 @@ class TestBackend:
                 )
 
                 assert result.message.content == result_data["message"]
-                assert result.finish_reason == result_data["finish_reason"]
                 assert result.usage is not None
                 assert (
                     result.usage.prompt_tokens == result_data["usage"]["prompt_tokens"]
@@ -165,7 +164,6 @@ class TestBackend:
 
                 for result, expected_result in zip(results, result_data, strict=True):
                     assert result.message.content == expected_result["message"]
-                    assert result.finish_reason == expected_result["finish_reason"]
                     assert result.usage is not None
                     assert (
                         result.usage.prompt_tokens

tests/mock/utils.py

@@ -13,7 +13,6 @@ def mock_llm_chunk(
     tool_calls: list[ToolCall] | None = None,
     name: str | None = None,
     tool_call_id: str | None = None,
-    finish_reason: str | None = None,
     prompt_tokens: int = 10,
     completion_tokens: int = 5,
 ) -> LLMChunk:
@@ -29,7 +28,6 @@ def mock_llm_chunk(
         usage=LLMUsage(
             prompt_tokens=prompt_tokens, completion_tokens=completion_tokens
         ),
-        finish_reason=finish_reason,
     )
 
 

tests/snapshots/test_ui_snapshot_basic_conversation.py

@@ -13,13 +13,11 @@ class SnapshotTestAppWithConversation(BaseSnapshotTestApp):
     def __init__(self) -> None:
         config = default_config()
         fake_backend = FakeBackend(
-            results=[
             mock_llm_chunk(
                 content="I'm the Vibe agent and I'm ready to help.",
                 prompt_tokens=10_000,
                 completion_tokens=2_500,
             )
-            ]
         )
         super().__init__(config=config)
         self.agent = Agent(

tests/stubs/fake_backend.py

@@ -1,9 +1,10 @@
 from __future__ import annotations
 
 from collections.abc import AsyncGenerator, Callable, Iterable
+from typing import cast
 
 from tests.mock.utils import mock_llm_chunk
-from vibe.core.types import LLMChunk, LLMMessage
+from vibe.core.types import LLMChunk, LLMMessage, Role
 
 
 class FakeBackend:
@@ -15,18 +16,47 @@ class FakeBackend:
 
     def __init__(
         self,
-        results: Iterable[LLMChunk] | None = None,
+        chunks: LLMChunk
+        | Iterable[LLMChunk]
+        | Iterable[Iterable[LLMChunk]]
+        | None = None,
         *,
         token_counter: Callable[[list[LLMMessage]], int] | None = None,
         exception_to_raise: Exception | None = None,
     ) -> None:
-        self._chunks = list(results or [])
+        """Fake backend that will output the given chunks in the order they are given.
+
+        chunks: A single chunk, a sequence of chunks, or a sequence of sequences of chunks.
+        A single chunk would be outputted as such in complete / complete_streaming
+        A sequence of chunks will is considered a single stream: a completion would output
+        all chunks (either streaming or in an aggregated way)
+        A sequence of sequences of chunks is considered a list of streams: each completion
+        will output a stream (either streaming or in an aggregated way)
+        """
         self._requests_messages: list[list[LLMMessage]] = []
         self._requests_extra_headers: list[dict[str, str] | None] = []
         self._count_tokens_calls: list[list[LLMMessage]] = []
         self._token_counter = token_counter or self._default_token_counter
         self._exception_to_raise = exception_to_raise
 
+        self._streams: list[list[LLMChunk]]
+        if chunks is None:
+            self._streams = []
+            return
+        if isinstance(chunks, LLMChunk):
+            self._streams = [[chunks]]
+            return
+        if all(isinstance(chunk, LLMChunk) for chunk in chunks):
+            self._streams = [[cast(LLMChunk, chunk) for chunk in chunks]]
+            return
+        if any(isinstance(chunk, LLMChunk) for chunk in chunks):
+            raise TypeError(
+                f"Invalid type for chunks, expected a value of type "
+                f"LLMChunk | Iterable[LLMChunk] | Iterable[Iterable[LLMChunk]], got {chunks!r}"
+            )
+        chunks = cast(Iterable[Iterable[LLMChunk]], chunks)
+        self._streams = [[chunk for chunk in stream] for stream in chunks]
+
     @property
     def requests_messages(self) -> list[list[LLMMessage]]:
         return self._requests_messages
@@ -61,12 +91,15 @@ class FakeBackend:
 
         self._requests_messages.append(messages)
         self._requests_extra_headers.append(extra_headers)
-        if self._chunks:
+
-            chunk = self._chunks.pop(0)
+        if self._streams:
-            if not self._chunks:
+            stream = self._streams.pop(0)
-                chunk = chunk.model_copy(update={"finish_reason": "stop"})
+            chunk_agg = LLMChunk(message=LLMMessage(role=Role.assistant))
-            return chunk
+            for chunk in stream:
-        return mock_llm_chunk(content="", finish_reason="stop")
+                chunk_agg += chunk
+            return chunk_agg
+
+        return mock_llm_chunk(content="")
 
     async def complete_streaming(
         self,
@@ -84,22 +117,13 @@ class FakeBackend:
 
         self._requests_messages.append(messages)
         self._requests_extra_headers.append(extra_headers)
-        has_final_chunk = False
-        while self._chunks:
-            chunk = self._chunks.pop(0)
-            is_last_provided_chunk = not self._chunks
-            if is_last_provided_chunk:
-                chunk = chunk.model_copy(update={"finish_reason": "stop"})
-
-            if chunk.finish_reason is not None:
-                has_final_chunk = True
 
+        if self._streams:
+            stream = list(self._streams.pop(0))
+        else:
+            stream = [mock_llm_chunk(content="")]
+        for chunk in stream:
             yield chunk
-            if has_final_chunk:
-                break
-
-        if not has_final_chunk:
-            yield mock_llm_chunk(content="", finish_reason="stop")
 
     async def count_tokens(
         self,

tests/test_agent_auto_compact.py

@@ -23,8 +23,8 @@ async def test_auto_compact_triggers_and_batches_observer() -> None:
         observed.append((msg.role, msg.content))
 
     backend = FakeBackend([
-        mock_llm_chunk(content="<summary>"),
+        [mock_llm_chunk(content="<summary>")],
-        mock_llm_chunk(content="<final>"),
+        [mock_llm_chunk(content="<final>")],
     ])
     cfg = VibeConfig(
         session_logging=SessionLoggingConfig(enabled=False), auto_compact_threshold=1

tests/test_agent_backend.py

@@ -15,7 +15,7 @@ def vibe_config() -> VibeConfig:
 
 @pytest.mark.asyncio
 async def test_passes_x_affinity_header_when_asking_an_answer(vibe_config: VibeConfig):
-    backend = FakeBackend([mock_llm_chunk(content="Response", finish_reason="stop")])
+    backend = FakeBackend([mock_llm_chunk(content="Response")])
     agent = Agent(vibe_config, backend=backend)
 
     [_ async for _ in agent.act("Hello")]
@@ -31,7 +31,7 @@ async def test_passes_x_affinity_header_when_asking_an_answer(vibe_config: VibeC
 async def test_passes_x_affinity_header_when_asking_an_answer_streaming(
     vibe_config: VibeConfig,
 ):
-    backend = FakeBackend([mock_llm_chunk(content="Response", finish_reason="stop")])
+    backend = FakeBackend([mock_llm_chunk(content="Response")])
     agent = Agent(vibe_config, backend=backend, enable_streaming=True)
 
     [_ async for _ in agent.act("Hello")]
@@ -45,12 +45,7 @@ async def test_passes_x_affinity_header_when_asking_an_answer_streaming(
 
 @pytest.mark.asyncio
 async def test_updates_tokens_stats_based_on_backend_response(vibe_config: VibeConfig):
-    chunk = mock_llm_chunk(
+    chunk = mock_llm_chunk(content="Response", prompt_tokens=100, completion_tokens=50)
-        content="Response",
-        finish_reason="stop",
-        prompt_tokens=100,
-        completion_tokens=50,
-    )
     backend = FakeBackend([chunk])
     agent = Agent(vibe_config, backend=backend)
 
@@ -64,10 +59,7 @@ async def test_updates_tokens_stats_based_on_backend_response_streaming(
     vibe_config: VibeConfig,
 ):
     final_chunk = mock_llm_chunk(
-        content="Complete",
+        content="Complete", prompt_tokens=200, completion_tokens=75
-        finish_reason="stop",
-        prompt_tokens=200,
-        completion_tokens=75,
     )
     backend = FakeBackend([final_chunk])
     agent = Agent(vibe_config, backend=backend, enable_streaming=True)

tests/test_agent_observer_streaming.py

@@ -10,7 +10,6 @@ from tests.mock.utils import mock_llm_chunk
 from tests.stubs.fake_backend import FakeBackend
 from vibe.core.agent import Agent
 from vibe.core.config import SessionLoggingConfig, VibeConfig
-from vibe.core.llm.types import BackendLike
 from vibe.core.middleware import (
     ConversationContext,
     MiddlewareAction,
@@ -25,7 +24,6 @@ from vibe.core.types import (
     ApprovalResponse,
     AssistantEvent,
     FunctionCall,
-    LLMChunk,
     LLMMessage,
     Role,
     ToolCall,
@@ -177,10 +175,11 @@ async def test_act_handles_streaming_with_tool_call_events_in_sequence() -> None
         function=FunctionCall(name="todo", arguments='{"action": "read"}'),
     )
     backend = FakeBackend([
+        [
             mock_llm_chunk(content="Checking your todos."),
             mock_llm_chunk(content="", tool_calls=[todo_tool_call]),
-        mock_llm_chunk(content="", finish_reason="stop"),
+        ],
-        mock_llm_chunk(content="Done reviewing todos."),
+        [mock_llm_chunk(content="Done reviewing todos.")],
     ])
     agent = Agent(
         make_config(
@@ -222,7 +221,7 @@ async def test_act_handles_tool_call_chunk_with_content() -> None:
     backend = FakeBackend([
         mock_llm_chunk(content="Preparing "),
         mock_llm_chunk(content="todo request", tool_calls=[todo_tool_call]),
-        mock_llm_chunk(content=" complete", finish_reason="stop"),
+        mock_llm_chunk(content=" complete"),
     ])
     agent = Agent(
         make_config(
@@ -237,15 +236,12 @@ async def test_act_handles_tool_call_chunk_with_content() -> None:
     events = [event async for event in agent.act("Check todos with content.")]
 
     assert [type(event) for event in events] == [
-        AssistantEvent,
         AssistantEvent,
         ToolCallEvent,
         ToolResultEvent,
     ]
     assert isinstance(events[0], AssistantEvent)
-    assert events[0].content == "Preparing todo request"
+    assert events[0].content == "Preparing todo request complete"
-    assert isinstance(events[1], AssistantEvent)
-    assert events[1].content == " complete"
     assert any(
         m.role == Role.assistant and m.content == "Preparing todo request complete"
         for m in agent.messages
@@ -304,35 +300,6 @@ async def test_act_merges_streamed_tool_call_arguments() -> None:
     )
 
 
-@pytest.mark.asyncio
-async def test_act_raises_when_stream_never_signals_finish() -> None:
-    class IncompleteStreamingBackend(BackendLike):
-        def __init__(self, chunks: list[LLMChunk]) -> None:
-            self._chunks = list(chunks)
-
-        async def __aenter__(self):
-            return self
-
-        async def __aexit__(self, exc_type, exc, tb):
-            return None
-
-        async def complete_streaming(self, **_: object):
-            while self._chunks:
-                yield self._chunks.pop(0)
-
-        async def complete(self, **_: object):
-            return mock_llm_chunk(content="", finish_reason="stop")
-
-        async def count_tokens(self, **_: object) -> int:
-            return 0
-
-    backend = IncompleteStreamingBackend([mock_llm_chunk(content="partial")])
-    agent = Agent(make_config(), backend=backend, enable_streaming=True)
-
-    with pytest.raises(RuntimeError, match="Streamed completion returned no chunks"):
-        [event async for event in agent.act("Will this finish?")]
-
-
 @pytest.mark.asyncio
 async def test_act_handles_user_cancellation_during_streaming() -> None:
     class CountingMiddleware(MiddlewarePipeline):
@@ -359,7 +326,6 @@ async def test_act_handles_user_cancellation_during_streaming() -> None:
     backend = FakeBackend([
         mock_llm_chunk(content="Preparing "),
         mock_llm_chunk(content="todo request", tool_calls=[todo_tool_call]),
-        mock_llm_chunk(content="", finish_reason="stop"),
     ])
     agent = Agent(
         make_config(

tests/test_agent_stats.py

@@ -159,9 +159,7 @@ class TestAgentStatsHelpers:
 class TestReloadPreservesStats:
     @pytest.mark.asyncio
     async def test_reload_preserves_session_tokens(self) -> None:
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="First response"))
-            mock_llm_chunk(content="First response", finish_reason="stop")
-        ])
         agent = Agent(make_config(), backend=backend)
 
         async for _ in agent.act("Hello"):
@@ -185,13 +183,14 @@ class TestReloadPreservesStats:
                 tool_calls=[
                     ToolCall(
                         id="tc1",
+                        index=0,
                         function=FunctionCall(
                             name="todo", arguments='{"action": "read"}'
                         ),
                     )
                 ],
             ),
-            mock_llm_chunk(content="Done", finish_reason="stop"),
+            mock_llm_chunk(content="Done"),
         ])
         config = make_config(enabled_tools=["todo"])
         agent = Agent(config, mode=AgentMode.AUTO_APPROVE, backend=backend)
@@ -210,8 +209,8 @@ class TestReloadPreservesStats:
     @pytest.mark.asyncio
     async def test_reload_preserves_steps(self) -> None:
         backend = FakeBackend([
-            mock_llm_chunk(content="R1", finish_reason="stop"),
+            [mock_llm_chunk(content="R1")],
-            mock_llm_chunk(content="R2", finish_reason="stop"),
+            [mock_llm_chunk(content="R2")],
         ])
         agent = Agent(make_config(), backend=backend)
 
@@ -231,9 +230,7 @@ class TestReloadPreservesStats:
     async def test_reload_preserves_context_tokens_when_messages_preserved(
         self,
     ) -> None:
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         agent = Agent(make_config(), backend=backend)
         [_ async for _ in agent.act("Hello")]
         assert agent.stats.context_tokens > 0
@@ -258,10 +255,10 @@ class TestReloadPreservesStats:
         assert agent.stats.context_tokens == 0
 
     @pytest.mark.asyncio
-    async def test_reload_preserves_context_tokens_when_messages_exist(self) -> None:
+    async def test_reload_resets_context_tokens_when_system_prompt_changes(
-        backend = FakeBackend([
+        self,
-            mock_llm_chunk(content="Response", finish_reason="stop")
+    ) -> None:
-        ])
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
         config1 = make_config(system_prompt_id="tests")
         config2 = make_config(system_prompt_id="cli")
         agent = Agent(config1, backend=backend)
@@ -279,9 +276,7 @@ class TestReloadPreservesStats:
     async def test_reload_updates_pricing_from_new_model(self, monkeypatch) -> None:
         monkeypatch.setenv("LECHAT_API_KEY", "mock-key")
 
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         config_mistral = make_config(active_model="devstral-latest")
         agent = Agent(config_mistral, backend=backend)
 
@@ -302,8 +297,8 @@ class TestReloadPreservesStats:
         monkeypatch.setenv("LECHAT_API_KEY", "mock-key")
 
         backend = FakeBackend([
-            mock_llm_chunk(content="First", finish_reason="stop"),
+            [mock_llm_chunk(content="First")],
-            mock_llm_chunk(content="After reload", finish_reason="stop"),
+            [mock_llm_chunk(content="After reload")],
         ])
         config1 = make_config(active_model="devstral-latest")
         agent = Agent(config1, backend=backend)
@@ -330,9 +325,7 @@ class TestReloadPreservesStats:
 class TestReloadPreservesMessages:
     @pytest.mark.asyncio
     async def test_reload_preserves_conversation_messages(self) -> None:
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         agent = Agent(make_config(), backend=backend)
 
         async for _ in agent.act("Hello"):
@@ -353,9 +346,7 @@ class TestReloadPreservesMessages:
 
     @pytest.mark.asyncio
     async def test_reload_updates_system_prompt_preserves_rest(self) -> None:
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         config1 = make_config(system_prompt_id="tests")
         agent = Agent(config1, backend=backend)
 
@@ -388,9 +379,7 @@ class TestReloadPreservesMessages:
         self, observer_capture
     ) -> None:
         observed, observer = observer_capture
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         agent = Agent(make_config(), message_observer=observer, backend=backend)
 
         async for _ in agent.act("Hello"):
@@ -410,8 +399,8 @@ class TestCompactStatsHandling:
     @pytest.mark.asyncio
     async def test_compact_preserves_cumulative_stats(self) -> None:
         backend = FakeBackend([
-            mock_llm_chunk(content="First response", finish_reason="stop"),
+            [mock_llm_chunk(content="First response")],
-            mock_llm_chunk(content="<summary>", finish_reason="stop"),
+            [mock_llm_chunk(content="<summary>")],
         ])
         agent = Agent(make_config(), backend=backend)
 
@@ -432,8 +421,8 @@ class TestCompactStatsHandling:
     @pytest.mark.asyncio
     async def test_compact_updates_context_tokens(self) -> None:
         backend = FakeBackend([
-            mock_llm_chunk(content="Long response " * 100, finish_reason="stop"),
+            [mock_llm_chunk(content="Long response " * 100)],
-            mock_llm_chunk(content="<summary>", finish_reason="stop"),
+            [mock_llm_chunk(content="<summary>")],
         ])
         agent = Agent(make_config(), backend=backend)
 
@@ -449,19 +438,22 @@ class TestCompactStatsHandling:
     @pytest.mark.asyncio
     async def test_compact_preserves_tool_call_stats(self) -> None:
         backend = FakeBackend([
+            [
                 mock_llm_chunk(
                     content="Using tool",
                     tool_calls=[
                         ToolCall(
                             id="tc1",
+                            index=0,
                             function=FunctionCall(
                                 name="todo", arguments='{"action": "read"}'
                             ),
                         )
                     ],
                 ),
-            mock_llm_chunk(content="Done", finish_reason="stop"),
+                mock_llm_chunk(content=" todo"),
-            mock_llm_chunk(content="<summary>", finish_reason="stop"),
+            ],
+            [mock_llm_chunk(content="<summary>")],
         ])
         config = make_config(enabled_tools=["todo"])
         agent = Agent(config, mode=AgentMode.AUTO_APPROVE, backend=backend)
@@ -478,8 +470,8 @@ class TestCompactStatsHandling:
     @pytest.mark.asyncio
     async def test_compact_resets_session_id(self) -> None:
         backend = FakeBackend([
-            mock_llm_chunk(content="Long response " * 100, finish_reason="stop"),
+            [mock_llm_chunk(content="Long response " * 100)],
-            mock_llm_chunk(content="<summary>", finish_reason="stop"),
+            [mock_llm_chunk(content="<summary>")],
         ])
         agent = Agent(make_config(disable_logging=False), backend=backend)
 
@@ -506,8 +498,8 @@ class TestAutoCompactIntegration:
             observed.append((msg.role, msg.content))
 
         backend = FakeBackend([
-            mock_llm_chunk(content="<summary>", finish_reason="stop"),
+            [mock_llm_chunk(content="<summary>")],
-            mock_llm_chunk(content="<final>", finish_reason="stop"),
+            [mock_llm_chunk(content="<final>")],
         ])
         cfg = VibeConfig(
             session_logging=SessionLoggingConfig(enabled=False),
@@ -544,9 +536,7 @@ class TestAutoCompactIntegration:
 class TestClearHistoryFullReset:
     @pytest.mark.asyncio
     async def test_clear_history_fully_resets_stats(self) -> None:
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         agent = Agent(make_config(), backend=backend)
 
         async for _ in agent.act("Hello"):
@@ -563,9 +553,7 @@ class TestClearHistoryFullReset:
 
     @pytest.mark.asyncio
     async def test_clear_history_preserves_pricing(self) -> None:
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         config = make_config(input_price=0.4, output_price=2.0)
         agent = Agent(config, backend=backend)
 
@@ -579,9 +567,7 @@ class TestClearHistoryFullReset:
 
     @pytest.mark.asyncio
     async def test_clear_history_removes_messages(self) -> None:
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         agent = Agent(make_config(), backend=backend)
 
         async for _ in agent.act("Hello"):
@@ -596,9 +582,7 @@ class TestClearHistoryFullReset:
 
     @pytest.mark.asyncio
     async def test_clear_history_resets_session_id(self) -> None:
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         agent = Agent(make_config(disable_logging=False), backend=backend)
 
         original_session_id = agent.session_id
@@ -622,9 +606,7 @@ class TestStatsEdgeCases:
     ) -> None:
         monkeypatch.setenv("LECHAT_API_KEY", "mock-key")
 
-        backend = FakeBackend([
+        backend = FakeBackend(mock_llm_chunk(content="Response"))
-            mock_llm_chunk(content="Response", finish_reason="stop")
-        ])
         config1 = make_config(active_model="devstral-latest")
         agent = Agent(config1, backend=backend)
 
@@ -643,9 +625,9 @@ class TestStatsEdgeCases:
     @pytest.mark.asyncio
     async def test_multiple_reloads_accumulate_correctly(self) -> None:
         backend = FakeBackend([
-            mock_llm_chunk(content="R1", finish_reason="stop"),
+            [mock_llm_chunk(content="R1")],
-            mock_llm_chunk(content="R2", finish_reason="stop"),
+            [mock_llm_chunk(content="R2")],
-            mock_llm_chunk(content="R3", finish_reason="stop"),
+            [mock_llm_chunk(content="R3")],
         ])
         agent = Agent(make_config(), backend=backend)
 
@@ -668,9 +650,9 @@ class TestStatsEdgeCases:
     @pytest.mark.asyncio
     async def test_compact_then_reload_preserves_both(self) -> None:
         backend = FakeBackend([
-            mock_llm_chunk(content="Initial response", finish_reason="stop"),
+            [mock_llm_chunk(content="Initial response")],
-            mock_llm_chunk(content="<summary>", finish_reason="stop"),
+            [mock_llm_chunk(content="<summary>")],
-            mock_llm_chunk(content="After reload", finish_reason="stop"),
+            [mock_llm_chunk(content="After reload")],
         ])
         agent = Agent(make_config(), backend=backend)
 

tests/test_agent_tool_call.py

@@ -44,10 +44,12 @@ def make_config(todo_permission: ToolPermission = ToolPermission.ALWAYS) -> Vibe
     )
 
 
-def make_todo_tool_call(call_id: str, action: str = "read") -> ToolCall:
+def make_todo_tool_call(
+    call_id: str, index: int = 0, arguments: str | None = None
+) -> ToolCall:
+    args = arguments if arguments is not None else '{"action": "read"}'
     return ToolCall(
-        id=call_id,
+        id=call_id, index=index, function=FunctionCall(name="todo", arguments=args)
-        function=FunctionCall(name="todo", arguments=f'{{"action": "{action}"}}'),
     )
 
 
@@ -72,8 +74,8 @@ async def test_single_tool_call_executes_under_auto_approve() -> None:
     mocked_tool_call_id = "call_1"
     tool_call = make_todo_tool_call(mocked_tool_call_id)
     backend = FakeBackend([
-        mock_llm_chunk(content="Let me check your todos.", tool_calls=[tool_call]),
+        [mock_llm_chunk(content="Let me check your todos.", tool_calls=[tool_call])],
-        mock_llm_chunk(content="I retrieved 0 todos.", finish_reason="stop"),
+        [mock_llm_chunk(content="I retrieved 0 todos.")],
     ])
     agent = make_agent(auto_approve=True, backend=backend)
 
@@ -108,14 +110,13 @@ async def test_tool_call_requires_approval_if_not_auto_approved() -> None:
         auto_approve=False,
         todo_permission=ToolPermission.ASK,
         backend=FakeBackend([
+            [
                 mock_llm_chunk(
                     content="Let me check your todos.",
                     tool_calls=[make_todo_tool_call("call_2")],
-            ),
+                )
-            mock_llm_chunk(
+            ],
-                content="I cannot execute the tool without approval.",
+            [mock_llm_chunk(content="I cannot execute the tool without approval.")],
-                finish_reason="stop",
-            ),
         ]),
     )
 
@@ -148,11 +149,13 @@ async def test_tool_call_approved_by_callback() -> None:
         todo_permission=ToolPermission.ASK,
         approval_callback=approval_callback,
         backend=FakeBackend([
+            [
                 mock_llm_chunk(
                     content="Let me check your todos.",
                     tool_calls=[make_todo_tool_call("call_3")],
-            ),
+                )
-            mock_llm_chunk(content="I retrieved 0 todos.", finish_reason="stop"),
+            ],
+            [mock_llm_chunk(content="I retrieved 0 todos.")],
         ]),
     )
 
@@ -183,13 +186,13 @@ async def test_tool_call_rejected_when_auto_approve_disabled_and_rejected_by_cal
         todo_permission=ToolPermission.ASK,
         approval_callback=approval_callback,
         backend=FakeBackend([
+            [
                 mock_llm_chunk(
                     content="Let me check your todos.",
                     tool_calls=[make_todo_tool_call("call_4")],
-            ),
+                )
-            mock_llm_chunk(
+            ],
-                content="Understood, I won't check the todos.", finish_reason="stop"
+            [mock_llm_chunk(content="Understood, I won't check the todos.")],
-            ),
         ]),
     )
 
@@ -211,11 +214,13 @@ async def test_tool_call_skipped_when_permission_is_never() -> None:
         auto_approve=False,
         todo_permission=ToolPermission.NEVER,
         backend=FakeBackend([
+            [
                 mock_llm_chunk(
                     content="Let me check your todos.",
                     tool_calls=[make_todo_tool_call("call_never")],
-            ),
+                )
-            mock_llm_chunk(content="Tool is disabled.", finish_reason="stop"),
+            ],
+            [mock_llm_chunk(content="Tool is disabled.")],
         ]),
     )
 
@@ -257,14 +262,20 @@ async def test_approval_always_sets_tool_permission_for_subsequent_calls() -> No
         todo_permission=ToolPermission.ASK,
         approval_callback=approval_callback,
         backend=FakeBackend([
+            [
                 mock_llm_chunk(
-                content="First check.", tool_calls=[make_todo_tool_call("call_first")]
+                    content="First check.",
-            ),
+                    tool_calls=[make_todo_tool_call("call_first")],
-            mock_llm_chunk(content="First done.", finish_reason="stop"),
+                )
+            ],
+            [mock_llm_chunk(content="First done.")],
+            [
                 mock_llm_chunk(
-                content="Second check.", tool_calls=[make_todo_tool_call("call_second")]
+                    content="Second check.",
-            ),
+                    tool_calls=[make_todo_tool_call("call_second")],
-            mock_llm_chunk(content="Second done.", finish_reason="stop"),
+                )
+            ],
+            [mock_llm_chunk(content="Second done.")],
         ]),
     )
     agent_ref = agent
@@ -291,17 +302,16 @@ async def test_approval_always_sets_tool_permission_for_subsequent_calls() -> No
 
 @pytest.mark.asyncio
 async def test_tool_call_with_invalid_action() -> None:
-    tool_call = ToolCall(
+    tool_call = make_todo_tool_call("call_5", arguments='{"action": "invalid_action"}')
-        id="call_5",
-        function=FunctionCall(name="todo", arguments='{"action": "invalid_action"}'),
-    )
     agent = make_agent(
         auto_approve=True,
         backend=FakeBackend([
-            mock_llm_chunk(content="Let me check your todos.", tool_calls=[tool_call]),
+            [
                 mock_llm_chunk(
-                content="I encountered an error with the action.", finish_reason="stop"
+                    content="Let me check your todos.", tool_calls=[tool_call]
-            ),
+                )
+            ],
+            [mock_llm_chunk(content="I encountered an error with the action.")],
         ]),
     )
 
@@ -320,24 +330,18 @@ async def test_tool_call_with_duplicate_todo_ids() -> None:
         TodoItem(id="duplicate", content="Task 1"),
         TodoItem(id="duplicate", content="Task 2"),
     ]
-    tool_call = ToolCall(
+    tool_call = make_todo_tool_call(
-        id="call_6",
+        "call_6",
-        function=FunctionCall(
-            name="todo",
         arguments=json.dumps({
             "action": "write",
             "todos": [t.model_dump() for t in duplicate_todos],
         }),
-        ),
     )
     agent = make_agent(
         auto_approve=True,
         backend=FakeBackend([
-            mock_llm_chunk(content="Let me write todos.", tool_calls=[tool_call]),
+            [mock_llm_chunk(content="Let me write todos.", tool_calls=[tool_call])],
-            mock_llm_chunk(
+            [mock_llm_chunk(content="I couldn't write todos with duplicate IDs.")],
-                content="I couldn't write todos with duplicate IDs.",
-                finish_reason="stop",
-            ),
         ]),
     )
 
@@ -353,23 +357,18 @@ async def test_tool_call_with_duplicate_todo_ids() -> None:
 @pytest.mark.asyncio
 async def test_tool_call_with_exceeding_max_todos() -> None:
     many_todos = [TodoItem(id=f"todo_{i}", content=f"Task {i}") for i in range(150)]
-    tool_call = ToolCall(
+    tool_call = make_todo_tool_call(
-        id="call_7",
+        "call_7",
-        function=FunctionCall(
-            name="todo",
         arguments=json.dumps({
             "action": "write",
             "todos": [t.model_dump() for t in many_todos],
         }),
-        ),
     )
     agent = make_agent(
         auto_approve=True,
         backend=FakeBackend([
-            mock_llm_chunk(content="Let me write todos.", tool_calls=[tool_call]),
+            [mock_llm_chunk(content="Let me write todos.", tool_calls=[tool_call])],
-            mock_llm_chunk(
+            [mock_llm_chunk(content="I couldn't write that many todos.")],
-                content="I couldn't write that many todos.", finish_reason="stop"
-            ),
         ]),
     )
 
@@ -394,7 +393,7 @@ async def test_tool_call_can_be_interrupted(
     exception_class: type[BaseException],
 ) -> None:
     tool_call = ToolCall(
-        id="call_8", function=FunctionCall(name="stub_tool", arguments="{}")
+        id="call_8", index=0, function=FunctionCall(name="stub_tool", arguments="{}")
     )
     config = VibeConfig(
         session_logging=SessionLoggingConfig(enabled=False),
@@ -405,8 +404,8 @@ async def test_tool_call_can_be_interrupted(
         config,
         mode=AgentMode.AUTO_APPROVE,
         backend=FakeBackend([
-            mock_llm_chunk(content="Let me use the tool.", tool_calls=[tool_call]),
+            [mock_llm_chunk(content="Let me use the tool.", tool_calls=[tool_call])],
-            mock_llm_chunk(content="Tool execution completed.", finish_reason="stop"),
+            [mock_llm_chunk(content="Tool execution completed.")],
         ]),
     )
     # no dependency injection available => monkey patch
@@ -433,15 +432,11 @@ async def test_fill_missing_tool_responses_inserts_placeholders() -> None:
     agent = Agent(
         make_config(),
         mode=AgentMode.AUTO_APPROVE,
-        backend=FakeBackend([mock_llm_chunk(content="ok", finish_reason="stop")]),
+        backend=FakeBackend(mock_llm_chunk(content="ok")),
     )
     tool_calls_messages = [
-        ToolCall(
+        make_todo_tool_call("tc1", index=0),
-            id="tc1", function=FunctionCall(name="todo", arguments='{"action": "read"}')
+        make_todo_tool_call("tc2", index=1),
-        ),
-        ToolCall(
-            id="tc2", function=FunctionCall(name="todo", arguments='{"action": "read"}')
-        ),
     ]
     assistant_msg = LLMMessage(
         role=Role.assistant, content="Calling tools...", tool_calls=tool_calls_messages
@@ -473,7 +468,7 @@ async def test_ensure_assistant_after_tool_appends_understood() -> None:
     agent = Agent(
         make_config(),
         mode=AgentMode.AUTO_APPROVE,
-        backend=FakeBackend([mock_llm_chunk(content="ok", finish_reason="stop")]),
+        backend=FakeBackend(mock_llm_chunk(content="ok")),
     )
     tool_msg = LLMMessage(
         role=Role.tool, tool_call_id="tc_z", name="todo", content="Done"

tests/test_cli_programmatic_preload.py

@@ -34,12 +34,11 @@ def test_run_programmatic_preload_streaming_is_batched(
 
     with mock_backend_factory(
         Backend.MISTRAL,
-        lambda provider, **kwargs: FakeBackend([
+        lambda provider, **kwargs: FakeBackend(
             mock_llm_chunk(
-                content="Decorators are wrappers that modify function behavior.",
+                content="Decorators are wrappers that modify function behavior."
-                finish_reason="stop",
             )
-        ]),
+        ),
     ):
         cfg = VibeConfig(
             session_logging=SessionLoggingConfig(enabled=False),

tests/test_modes.py

@@ -157,7 +157,6 @@ class TestAgentSwitchMode:
         return FakeBackend([
             LLMChunk(
                 message=LLMMessage(role=Role.assistant, content="Test response"),
-                finish_reason="stop",
                 usage=LLMUsage(prompt_tokens=10, completion_tokens=5),
             )
         ])
@@ -274,7 +273,6 @@ class TestPlanModeToolRestriction:
         backend = FakeBackend([
             LLMChunk(
                 message=LLMMessage(role=Role.assistant, content="ok"),
-                finish_reason="stop",
                 usage=LLMUsage(prompt_tokens=10, completion_tokens=5),
             )
         ])
@@ -298,11 +296,12 @@ class TestPlanModeToolRestriction:
     async def test_plan_mode_rejects_non_plan_tool_call(self) -> None:
         tool_call = ToolCall(
             id="call_1",
+            index=0,
             function=FunctionCall(name="bash", arguments='{"command": "ls"}'),
         )
         backend = FakeBackend([
             mock_llm_chunk(content="Let me run bash", tool_calls=[tool_call]),
-            mock_llm_chunk(content="Tool not available", finish_reason="stop"),
+            mock_llm_chunk(content="Tool not available"),
         ])
 
         config = VibeConfig(

uv.lock

@@ -661,7 +661,7 @@ wheels = [
 
 [[package]]
 name = "mistral-vibe"
-version = "1.2.1"
+version = "1.2.2"
 source = { editable = "." }
 dependencies = [
     { name = "agent-client-protocol" },

vibe/__init__.py

@@ -3,4 +3,4 @@ from __future__ import annotations
 from pathlib import Path
 
 VIBE_ROOT = Path(__file__).parent
-__version__ = "1.2.1"
+__version__ = "1.2.2"

vibe/cli/textual_ui/handlers/event_handler.py

@@ -38,7 +38,6 @@ class EventHandler:
         self.get_todos_collapsed = get_todos_collapsed
         self.current_tool_call: ToolCallMessage | None = None
         self.current_compact: CompactMessage | None = None
-        self.tool_results: list[ToolResultMessage] = []
 
     async def handle_event(
         self,
@@ -121,7 +120,6 @@ class EventHandler:
             )
             await self.mount_callback(tool_result)
 
-        self.tool_results.append(tool_result)
         self.current_tool_call = None
 
     async def _handle_assistant_message(self, event: AssistantEvent) -> None:
@@ -153,6 +151,3 @@ class EventHandler:
         if self.current_compact:
             self.current_compact.stop_spinning(success=False)
             self.current_compact = None
-
-    def get_last_tool_result(self) -> ToolResultMessage | None:
-        return self.tool_results[-1] if self.tool_results else None

vibe/core/agent.py

@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 import asyncio
-from collections import OrderedDict
 from collections.abc import AsyncGenerator, Callable
 from enum import StrEnum, auto
 import time
@@ -48,9 +47,9 @@ from vibe.core.types import (
     CompactStartEvent,
     LLMChunk,
     LLMMessage,
+    LLMUsage,
     Role,
     SyncApprovalCallback,
-    ToolCall,
     ToolCallEvent,
     ToolResultEvent,
 )
@@ -141,8 +140,6 @@ class Agent:
             config.effective_workdir,
         )
 
-        self._last_chunk: LLMChunk | None = None
-
     @property
     def mode(self) -> AgentMode:
         return self._mode
@@ -267,11 +264,7 @@ class Agent:
                     yield event
 
                 last_message = self.messages[-1]
-                should_break_loop = (
+                should_break_loop = last_message.role != Role.tool
-                    last_message.role != Role.tool
-                    and self._last_chunk is not None
-                    and self._last_chunk.finish_reason is not None
-                )
 
                 self._flush_new_messages()
 
@@ -293,9 +286,7 @@ class Agent:
                 self.messages, self.stats, self.config, self.tool_manager
             )
 
-    async def _perform_llm_turn(
+    async def _perform_llm_turn(self) -> AsyncGenerator[BaseEvent, None]:
-        self,
-    ) -> AsyncGenerator[AssistantEvent | ToolCallEvent | ToolResultEvent]:
         if self.enable_streaming:
             async for event in self._stream_assistant_events():
                 yield event
@@ -305,105 +296,40 @@ class Agent:
                 yield assistant_event
 
         last_message = self.messages[-1]
-        last_chunk = self._last_chunk
-        if last_chunk is None or last_chunk.usage is None:
-            raise LLMResponseError("LLM response missing chunk or usage data")
 
         parsed = self.format_handler.parse_message(last_message)
         resolved = self.format_handler.resolve_tool_calls(
             parsed, self.tool_manager, self.config
         )
 
-        if last_chunk.usage.completion_tokens > 0 and self.stats.last_turn_duration > 0:
-            self.stats.tokens_per_second = (
-                last_chunk.usage.completion_tokens / self.stats.last_turn_duration
-            )
-
         if not resolved.tool_calls and not resolved.failed_calls:
             return
 
         async for event in self._handle_tool_calls(resolved):
             yield event
 
-    def _create_assistant_event(
-        self, content: str, chunk: LLMChunk | None
-    ) -> AssistantEvent:
-        return AssistantEvent(content=content)
-
     async def _stream_assistant_events(self) -> AsyncGenerator[AssistantEvent]:
-        chunks: list[LLMChunk] = []
+        batched_chunk = LLMChunk(message=LLMMessage(role=Role.assistant))
-        content_buffer = ""
         chunks_with_content = 0
         BATCH_SIZE = 5
 
         async for chunk in self._chat_streaming():
-            chunks.append(chunk)
+            batched_chunk += chunk
-
-            if chunk.message.tool_calls and chunk.finish_reason is None:
-                if chunk.message.content:
-                    content_buffer += chunk.message.content
-                    chunks_with_content += 1
-
-                if content_buffer:
-                    yield self._create_assistant_event(content_buffer, chunk)
-                    content_buffer = ""
-                    chunks_with_content = 0
-                continue
 
             if chunk.message.content:
-                content_buffer += chunk.message.content
                 chunks_with_content += 1
 
             if chunks_with_content >= BATCH_SIZE:
-                    yield self._create_assistant_event(content_buffer, chunk)
+                yield AssistantEvent(content=cast(str, batched_chunk.message.content))
-                    content_buffer = ""
+                batched_chunk = LLMChunk(message=LLMMessage(role=Role.assistant))
                 chunks_with_content = 0
 
-        if content_buffer:
+        if batched_chunk.message.content:
-            last_chunk = chunks[-1] if chunks else None
+            yield AssistantEvent(content=batched_chunk.message.content)
-            yield self._create_assistant_event(content_buffer, last_chunk)
-
-        full_content = ""
-        full_tool_calls_map = OrderedDict[int, ToolCall]()
-        for chunk in chunks:
-            full_content += chunk.message.content or ""
-            if not chunk.message.tool_calls:
-                continue
-
-            for tc in chunk.message.tool_calls:
-                if tc.index is None:
-                    raise LLMResponseError("Tool call chunk missing index")
-                if tc.index not in full_tool_calls_map:
-                    full_tool_calls_map[tc.index] = tc
-                else:
-                    new_args_str = (
-                        full_tool_calls_map[tc.index].function.arguments or ""
-                    ) + (tc.function.arguments or "")
-                    full_tool_calls_map[tc.index].function.arguments = new_args_str
-
-        full_tool_calls = list(full_tool_calls_map.values()) or None
-        last_message = LLMMessage(
-            role=Role.assistant, content=full_content, tool_calls=full_tool_calls
-        )
-        self.messages.append(last_message)
-        finish_reason = next(
-            (c.finish_reason for c in chunks if c.finish_reason is not None), None
-        )
-        self._last_chunk = LLMChunk(
-            message=last_message, usage=chunks[-1].usage, finish_reason=finish_reason
-        )
 
     async def _get_assistant_event(self) -> AssistantEvent:
         llm_result = await self._chat()
-        if llm_result.usage is None:
+        return AssistantEvent(content=llm_result.message.content or "")
-            raise LLMResponseError(
-                "Usage data missing in non-streaming completion response"
-            )
-        self._last_chunk = llm_result
-        assistant_msg = llm_result.message
-        self.messages.append(assistant_msg)
-
-        return AssistantEvent(content=assistant_msg.content or "")
 
     async def _handle_tool_calls(
         self, resolved: ResolvedMessage
@@ -585,7 +511,6 @@ class Agent:
 
         try:
             start_time = time.perf_counter()
-
             async with self.backend as backend:
                 result = await backend.complete(
                     model=active_model,
@@ -599,31 +524,19 @@ class Agent:
                     },
                     max_tokens=max_tokens,
                 )
-
             end_time = time.perf_counter()
+
             if result.usage is None:
                 raise LLMResponseError(
                     "Usage data missing in non-streaming completion response"
                 )
-
+            self._update_stats(usage=result.usage, time_seconds=end_time - start_time)
-            self.stats.last_turn_duration = end_time - start_time
-            self.stats.last_turn_prompt_tokens = result.usage.prompt_tokens
-            self.stats.last_turn_completion_tokens = result.usage.completion_tokens
-            self.stats.session_prompt_tokens += result.usage.prompt_tokens
-            self.stats.session_completion_tokens += result.usage.completion_tokens
-            self.stats.context_tokens = (
-                result.usage.prompt_tokens + result.usage.completion_tokens
-            )
 
             processed_message = self.format_handler.process_api_response_message(
                 result.message
             )
-
+            self.messages.append(processed_message)
-            return LLMChunk(
+            return LLMChunk(message=processed_message, usage=result.usage)
-                message=processed_message,
-                usage=result.usage,
-                finish_reason=result.finish_reason,
-            )
 
         except Exception as e:
             raise RuntimeError(
@@ -642,7 +555,8 @@ class Agent:
         tool_choice = self.format_handler.get_tool_choice()
         try:
             start_time = time.perf_counter()
-            last_chunk = None
+            usage = LLMUsage()
+            chunk_agg = LLMChunk(message=LLMMessage(role=Role.assistant))
             async with self.backend as backend:
                 async for chunk in backend.complete_streaming(
                     model=active_model,
@@ -656,38 +570,40 @@ class Agent:
                     },
                     max_tokens=max_tokens,
                 ):
-                    last_chunk = chunk
                     processed_message = (
                         self.format_handler.process_api_response_message(chunk.message)
                     )
-                    yield LLMChunk(
+                    processed_chunk = LLMChunk(
-                        message=processed_message,
+                        message=processed_message, usage=chunk.usage
-                        usage=chunk.usage,
-                        finish_reason=chunk.finish_reason,
                     )
-
+                    chunk_agg += processed_chunk
+                    usage += chunk.usage or LLMUsage()
+                    yield processed_chunk
             end_time = time.perf_counter()
-            if last_chunk is None:
+
-                raise LLMResponseError("Streamed completion returned no chunks")
+            if chunk_agg.usage is None:
-            if last_chunk.usage is None:
                 raise LLMResponseError(
                     "Usage data missing in final chunk of streamed completion"
                 )
+            self._update_stats(usage=usage, time_seconds=end_time - start_time)
 
-            self.stats.last_turn_duration = end_time - start_time
+            self.messages.append(chunk_agg.message)
-            self.stats.last_turn_prompt_tokens = last_chunk.usage.prompt_tokens
-            self.stats.last_turn_completion_tokens = last_chunk.usage.completion_tokens
-            self.stats.session_prompt_tokens += last_chunk.usage.prompt_tokens
-            self.stats.session_completion_tokens += last_chunk.usage.completion_tokens
-            self.stats.context_tokens = (
-                last_chunk.usage.prompt_tokens + last_chunk.usage.completion_tokens
-            )
 
         except Exception as e:
             raise RuntimeError(
                 f"API error from {provider.name} (model: {active_model.name}): {e}"
             ) from e
 
+    def _update_stats(self, usage: LLMUsage, time_seconds: float) -> None:
+        self.stats.last_turn_duration = time_seconds
+        self.stats.last_turn_prompt_tokens = usage.prompt_tokens
+        self.stats.last_turn_completion_tokens = usage.completion_tokens
+        self.stats.session_prompt_tokens += usage.prompt_tokens
+        self.stats.session_completion_tokens += usage.completion_tokens
+        self.stats.context_tokens = usage.prompt_tokens + usage.completion_tokens
+        if time_seconds > 0 and usage.completion_tokens > 0:
+            self.stats.tokens_per_second = usage.completion_tokens / time_seconds
+
     async def _should_execute_tool(
         self, tool: BaseTool, args: dict[str, Any], tool_call_id: str
     ) -> ToolDecision:

vibe/core/llm/backend/generic.py

@@ -143,17 +143,13 @@ class OpenAIAdapter(APIAdapter):
                 message = LLMMessage.model_validate(data["choices"][0]["delta"])
             else:
                 raise ValueError("Invalid response data")
-            finish_reason = data["choices"][0].get("finish_reason", None)
 
         elif "message" in data:
             message = LLMMessage.model_validate(data["message"])
-            finish_reason = data["choices"][0].get("finish_reason", None)
         elif "delta" in data:
             message = LLMMessage.model_validate(data["delta"])
-            finish_reason = None
         else:
             message = LLMMessage(role=Role.assistant, content="")
-            finish_reason = None
 
         usage_data = data.get("usage") or {}
         usage = LLMUsage(
@@ -161,7 +157,7 @@ class OpenAIAdapter(APIAdapter):
             completion_tokens=usage_data.get("completion_tokens", 0),
         )
 
-        return LLMChunk(message=message, usage=usage, finish_reason=finish_reason)
+        return LLMChunk(message=message, usage=usage)
 
 
 class GenericBackend:
@@ -255,7 +251,7 @@ class GenericBackend:
                 provider=self._provider.name,
                 endpoint=url,
                 response=e.response,
-                headers=dict(e.response.headers.items()),
+                headers=e.response.headers,
                 model=model.name,
                 messages=messages,
                 temperature=temperature,
@@ -320,7 +316,7 @@ class GenericBackend:
                 provider=self._provider.name,
                 endpoint=url,
                 response=e.response,
-                headers=dict(e.response.headers.items()),
+                headers=e.response.headers,
                 model=model.name,
                 messages=messages,
                 temperature=temperature,
@@ -369,7 +365,11 @@ class GenericBackend:
                     continue
 
                 DELIM_CHAR = ":"
-                assert f"{DELIM_CHAR} " in line, "line should look like `key: value`"
+                if f"{DELIM_CHAR} " not in line:
+                    raise ValueError(
+                        f"Stream chunk improperly formatted. "
+                        f"Expected `key{DELIM_CHAR} value`, received `{line}`"
+                    )
                 delim_index = line.find(DELIM_CHAR)
                 key = line[0:delim_index]
                 value = line[delim_index + 2 :]
@@ -404,9 +404,8 @@ class GenericBackend:
             tool_choice=tool_choice,
             extra_headers=extra_headers,
         )
-        assert result.usage is not None, (
+        if result.usage is None:
-            "Usage should be present in non-streaming completions"
+            raise ValueError("Missing usage in non streaming completion")
-        )
 
         return result.usage.prompt_tokens
 

vibe/core/llm/backend/mistral.py

@@ -205,7 +205,6 @@ class MistralBackend:
                     prompt_tokens=response.usage.prompt_tokens or 0,
                     completion_tokens=response.usage.completion_tokens or 0,
                 ),
-                finish_reason=response.choices[0].finish_reason,
             )
 
         except mistralai.SDKError as e:
@@ -213,7 +212,7 @@ class MistralBackend:
                 provider=self._provider.name,
                 endpoint=self._server_url,
                 response=e.raw_response,
-                headers=dict(e.raw_response.headers.items()),
+                headers=e.raw_response.headers,
                 model=model.name,
                 messages=messages,
                 temperature=temperature,
@@ -279,7 +278,6 @@ class MistralBackend:
                         if chunk.data.usage
                         else 0,
                     ),
-                    finish_reason=chunk.data.choices[0].finish_reason,
                 )
 
         except mistralai.SDKError as e:
@@ -287,7 +285,7 @@ class MistralBackend:
                 provider=self._provider.name,
                 endpoint=self._server_url,
                 response=e.raw_response,
-                headers=dict(e.raw_response.headers.items()),
+                headers=e.raw_response.headers,
                 model=model.name,
                 messages=messages,
                 temperature=temperature,
@@ -325,8 +323,7 @@ class MistralBackend:
             tool_choice=tool_choice,
             extra_headers=extra_headers,
         )
-        assert result.usage is not None, (
+        if result.usage is None:
-            "Usage should be present in non-streaming completions"
+            raise ValueError("Missing usage in non streaming completion")
-        )
 
         return result.usage.prompt_tokens

vibe/core/types.py

@@ -1,7 +1,9 @@
 from __future__ import annotations
 
 from abc import ABC
+from collections import OrderedDict
 from collections.abc import Awaitable, Callable
+import copy
 from enum import StrEnum, auto
 from typing import Annotated, Any, Literal
 
@@ -185,19 +187,75 @@ class LLMMessage(BaseModel):
             "tool_call_id": getattr(v, "tool_call_id", None),
         }
 
+    def __add__(self, other: LLMMessage) -> LLMMessage:
+        """Careful: this is not commutative!"""
+        if self.role != other.role:
+            raise ValueError("Can't accumulate messages with different roles")
+
+        if self.name != other.name:
+            raise ValueError("Can't accumulate messages with different names")
+
+        if self.tool_call_id != other.tool_call_id:
+            raise ValueError("Can't accumulate messages with different tool_call_ids")
+
+        content = (self.content or "") + (other.content or "")
+        if not content:
+            content = None
+
+        tool_calls_map = OrderedDict[int, ToolCall]()
+        for tool_calls in [self.tool_calls or [], other.tool_calls or []]:
+            for tc in tool_calls:
+                if tc.index is None:
+                    raise ValueError("Tool call chunk missing index")
+                if tc.index not in tool_calls_map:
+                    tool_calls_map[tc.index] = copy.deepcopy(tc)
+                else:
+                    existing_name = tool_calls_map[tc.index].function.name
+                    new_name = tc.function.name
+                    if existing_name and new_name and existing_name != new_name:
+                        raise ValueError(
+                            "Can't accumulate messages with different tool call names"
+                        )
+                    if new_name and not existing_name:
+                        tool_calls_map[tc.index].function.name = new_name
+                    new_args = (tool_calls_map[tc.index].function.arguments or "") + (
+                        tc.function.arguments or ""
+                    )
+                    tool_calls_map[tc.index].function.arguments = new_args
+
+        return LLMMessage(
+            role=self.role,
+            content=content,
+            tool_calls=list(tool_calls_map.values()) or None,
+            name=self.name,
+            tool_call_id=self.tool_call_id,
+        )
+
 
 class LLMUsage(BaseModel):
     model_config = ConfigDict(frozen=True)
     prompt_tokens: int = 0
     completion_tokens: int = 0
 
+    def __add__(self, other: LLMUsage) -> LLMUsage:
+        return LLMUsage(
+            prompt_tokens=self.prompt_tokens + other.prompt_tokens,
+            completion_tokens=self.completion_tokens + other.completion_tokens,
+        )
+
 
 class LLMChunk(BaseModel):
     model_config = ConfigDict(frozen=True)
     message: LLMMessage
-    finish_reason: str | None = None
     usage: LLMUsage | None = None
 
+    def __add__(self, other: LLMChunk) -> LLMChunk:
+        if self.usage is None and other.usage is None:
+            new_usage = None
+        else:
+            new_usage = (self.usage or LLMUsage()) + (other.usage or LLMUsage())
+        return LLMChunk(message=self.message + other.message, usage=new_usage)
+
 
 class BaseEvent(BaseModel, ABC):
     """Abstract base class for all agent events."""
@@ -209,6 +267,13 @@ class AssistantEvent(BaseEvent):
     content: str
     stopped_by_middleware: bool = False
 
+    def __add__(self, other: AssistantEvent) -> AssistantEvent:
+        return AssistantEvent(
+            content=self.content + other.content,
+            stopped_by_middleware=self.stopped_by_middleware
+            or other.stopped_by_middleware,
+        )
+
 
 class ToolCallEvent(BaseEvent):
     tool_name: str