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116 changes: 110 additions & 6 deletions tests/tokenization/test_mistral_tokenizer.py
Original file line number Diff line number Diff line change
@@ -1,15 +1,18 @@
# SPDX-License-Identifier: Apache-2.0

import pytest
from mistral_common.protocol.instruct.messages import UserMessage
from mistral_common.protocol.instruct.messages import (AssistantMessage,
ToolMessage,
UserMessage)
from mistral_common.protocol.instruct.request import ChatCompletionRequest
from mistral_common.protocol.instruct.tool_calls import Function, Tool
from mistral_common.protocol.instruct.tool_calls import (Function,
FunctionCall, Tool,
ToolCall)

from vllm.transformers_utils.tokenizers.mistral import (
make_mistral_chat_completion_request)


# yapf: enable
@pytest.mark.parametrize(
"openai_request,expected_mistral_request",
[(
Expand Down Expand Up @@ -78,6 +81,107 @@
)
def test_make_mistral_chat_completion_request(openai_request,
expected_mistral_request):
assert (make_mistral_chat_completion_request(
openai_request["messages"],
openai_request["tools"]) == expected_mistral_request)
actual_request = make_mistral_chat_completion_request(
openai_request["messages"], openai_request["tools"])
assert actual_request == expected_mistral_request


# Tool use with list content and reasoning_content
@pytest.mark.parametrize("openai_request,expected_mistral_request", [(
{
"messages": [
{
"role": "user",
"content": "What's the weather in Paris?",
},
{
"role":
"assistant",
"reasoning_content":
None,
"content":
None,
"tool_calls": [{
"id": "call123",
"type": "function",
"function": {
"name": "get_weather",
"arguments": '{"city": "Paris"}',
},
}],
},
{
"role": "tool",
"content": [{
"type": "text",
"text": "Rainy"
}],
"name": "get_weather",
"tool_call_id": "call123",
},
],
"tools": [{
"type": "function",
"function": {
"name": "get_weather",
"description": "Gets the current weather in a city.",
"parameters": {
"type": "object",
"properties": {
"city": {
"type": "string",
"description": "The city name"
}
},
"required": ["city"],
},
},
}],
},
ChatCompletionRequest(
messages=[
UserMessage(content="What's the weather in Paris?"),
AssistantMessage(
content=None,
tool_calls=[
ToolCall(
id="call123",
function=FunctionCall(
name="get_weather",
arguments='{"city": "Paris"}',
),
)
],
),
ToolMessage(
content="Rainy",
tool_call_id="call123",
name="get_weather",
),
],
tools=[
Tool(
type="function",
function=Function(
name="get_weather",
description="Gets the current weather in a city.",
parameters={
"type": "object",
"properties": {
"city": {
"type": "string",
"description": "The city name"
}
},
"required": ["city"],
},
),
)
],
),
)])
def test_make_mistral_chat_completion_request_list_content(
openai_request, expected_mistral_request):
actual_request = make_mistral_chat_completion_request(
openai_request["messages"], openai_request["tools"])
assert actual_request == expected_mistral_request
6 changes: 5 additions & 1 deletion vllm/transformers_utils/tokenizers/mistral.py
Original file line number Diff line number Diff line change
Expand Up @@ -156,7 +156,11 @@ def make_mistral_chat_completion_request(
#
# [1]: https://github.com/mistralai/mistral-common/blob/f4a06998b75ed78bbf5aaf569590b772ea26c9f6/src/mistral_common/protocol/instruct/messages.py#L80
for message in messages:
if message.get("role") == "assistant":
# Remove reasoning_content as unsupported by Mistral
_ = message.pop("reasoning_content", None) # type: ignore

# Convert list text content to string
if message.get("role") in ("assistant", "tool"):
content = message.get("content")
if isinstance(content, list):
content = "\n".join(chunk.get("text") for chunk in content)
Expand Down