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Original file line number Diff line number Diff line change
Expand Up @@ -195,6 +195,13 @@ def chat(
extra_args["promptTokens"] = message.usage.input_tokens
extra_args["completionTokens"] = message.usage.output_tokens

# A response may lead with a non-text block (e.g. a tool_use block when
# the model calls a tool without any preface), so pick the first text
# block instead of assuming content[0] is text.
text = next(
(block.text for block in message.content if block.type == "text"), ""
)

if message.stop_reason == "tool_use":
tool_calls = [
{
Expand All @@ -213,7 +220,7 @@ def chat(
extra_args["anthropic_content_blocks"] = message.content
return ChatMessage(
role=MessageRole(message.role),
content=message.content[0].text,
content=text,
tool_calls=tool_calls,
extra_args=extra_args,
)
Expand All @@ -222,7 +229,7 @@ def chat(
# https://docs.anthropic.com/en/api/messages#response-stop-reason
return ChatMessage(
role=MessageRole(message.role),
content=message.content[0].text,
content=text,
)

@override
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,96 @@
################################################################################
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#################################################################################
from unittest.mock import MagicMock

from anthropic.types import Message, TextBlock, ToolUseBlock, Usage

from flink_agents.api.chat_message import ChatMessage, MessageRole
from flink_agents.integrations.chat_models.anthropic.anthropic_chat_model import (
AnthropicChatModelConnection,
)


def _connection_returning(message: Message) -> AnthropicChatModelConnection:
connection = AnthropicChatModelConnection(name="test", api_key="dummy")
client = MagicMock()
client.messages.create.return_value = message
connection._client = client
return connection


def _usage() -> Usage:
return Usage(input_tokens=1, output_tokens=1)


def test_tool_use_response_without_leading_text() -> None:
# When the model calls a tool it commonly returns only a tool_use block, so
# content[0] is not a text block. Parsing must not assume content[0].text.
message = Message(
id="m",
model="claude",
role="assistant",
type="message",
stop_reason="tool_use",
content=[
ToolUseBlock(type="tool_use", id="t1", name="add", input={"a": 1, "b": 2})
],
usage=_usage(),
)
response = _connection_returning(message).chat(
[ChatMessage(role=MessageRole.USER, content="add 1 and 2")]
)
assert response.content == ""
assert len(response.tool_calls) == 1
assert response.tool_calls[0]["function"]["name"] == "add"


def test_tool_use_response_keeps_leading_text() -> None:
# A tool_use response may be preceded by a text block; that text is kept.
message = Message(
id="m",
model="claude",
role="assistant",
type="message",
stop_reason="tool_use",
content=[
TextBlock(type="text", text="Let me add those."),
ToolUseBlock(type="tool_use", id="t1", name="add", input={"a": 1, "b": 2}),
],
usage=_usage(),
)
response = _connection_returning(message).chat(
[ChatMessage(role=MessageRole.USER, content="add 1 and 2")]
)
assert response.content == "Let me add those."
assert len(response.tool_calls) == 1


def test_plain_text_response() -> None:
message = Message(
id="m",
model="claude",
role="assistant",
type="message",
stop_reason="end_turn",
content=[TextBlock(type="text", text="Hello!")],
usage=_usage(),
)
response = _connection_returning(message).chat(
[ChatMessage(role=MessageRole.USER, content="hi")]
)
assert response.content == "Hello!"
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