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Add token usage to messages (#4028)

* Add token usage to messages

* small test edit
tags/v0.4.0.dev3
Eric Zhu GitHub 1 year ago
parent
commit
ca7caa779d
No known key found for this signature in database GPG Key ID: B5690EEEBB952194
3 changed files with 28 additions and 8 deletions
  1. +4
    -3
      python/packages/autogen-agentchat/src/autogen_agentchat/agents/_assistant_agent.py
  2. +4
    -1
      python/packages/autogen-agentchat/src/autogen_agentchat/messages.py
  3. +20
    -4
      python/packages/autogen-agentchat/tests/test_assistant_agent.py

+ 4
- 3
python/packages/autogen-agentchat/src/autogen_agentchat/agents/_assistant_agent.py View File

@@ -266,8 +266,8 @@ class AssistantAgent(BaseChatAgent):
while isinstance(result.content, list) and all(isinstance(item, FunctionCall) for item in result.content):
event_logger.debug(ToolCallEvent(tool_calls=result.content, source=self.name))
# Add the tool call message to the output.
inner_messages.append(ToolCallMessage(content=result.content, source=self.name))
yield ToolCallMessage(content=result.content, source=self.name)
inner_messages.append(ToolCallMessage(content=result.content, source=self.name, model_usage=result.usage))
yield ToolCallMessage(content=result.content, source=self.name, model_usage=result.usage)

# Execute the tool calls.
results = await asyncio.gather(
@@ -303,7 +303,8 @@ class AssistantAgent(BaseChatAgent):

assert isinstance(result.content, str)
yield Response(
chat_message=TextMessage(content=result.content, source=self.name), inner_messages=inner_messages
chat_message=TextMessage(content=result.content, source=self.name, model_usage=result.usage),
inner_messages=inner_messages,
)

async def _execute_tool_call(


+ 4
- 1
python/packages/autogen-agentchat/src/autogen_agentchat/messages.py View File

@@ -1,7 +1,7 @@
from typing import List

from autogen_core.components import FunctionCall, Image
from autogen_core.components.models import FunctionExecutionResult
from autogen_core.components.models import FunctionExecutionResult, RequestUsage
from pydantic import BaseModel


@@ -11,6 +11,9 @@ class BaseMessage(BaseModel):
source: str
"""The name of the agent that sent this message."""

model_usage: RequestUsage | None = None
"""The model client usage incurred when producing this message."""


class TextMessage(BaseMessage):
"""A text message."""


+ 20
- 4
python/packages/autogen-agentchat/tests/test_assistant_agent.py View File

@@ -78,7 +78,7 @@ async def test_run_with_tools(monkeypatch: pytest.MonkeyPatch) -> None:
created=0,
model=model,
object="chat.completion",
usage=CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0),
usage=CompletionUsage(prompt_tokens=10, completion_tokens=5, total_tokens=0),
),
ChatCompletion(
id="id2",
@@ -88,7 +88,7 @@ async def test_run_with_tools(monkeypatch: pytest.MonkeyPatch) -> None:
created=0,
model=model,
object="chat.completion",
usage=CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0),
usage=CompletionUsage(prompt_tokens=10, completion_tokens=5, total_tokens=0),
),
ChatCompletion(
id="id2",
@@ -100,7 +100,7 @@ async def test_run_with_tools(monkeypatch: pytest.MonkeyPatch) -> None:
created=0,
model=model,
object="chat.completion",
usage=CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0),
usage=CompletionUsage(prompt_tokens=10, completion_tokens=5, total_tokens=0),
),
]
mock = _MockChatCompletion(chat_completions)
@@ -113,9 +113,17 @@ async def test_run_with_tools(monkeypatch: pytest.MonkeyPatch) -> None:
result = await tool_use_agent.run("task")
assert len(result.messages) == 4
assert isinstance(result.messages[0], TextMessage)
assert result.messages[0].model_usage is None
assert isinstance(result.messages[1], ToolCallMessage)
assert result.messages[1].model_usage is not None
assert result.messages[1].model_usage.completion_tokens == 5
assert result.messages[1].model_usage.prompt_tokens == 10
assert isinstance(result.messages[2], ToolCallResultMessage)
assert result.messages[2].model_usage is None
assert isinstance(result.messages[3], TextMessage)
assert result.messages[3].model_usage is not None
assert result.messages[3].model_usage.completion_tokens == 5
assert result.messages[3].model_usage.prompt_tokens == 10

# Test streaming.
mock._curr_index = 0 # pyright: ignore
@@ -158,7 +166,7 @@ async def test_handoffs(monkeypatch: pytest.MonkeyPatch) -> None:
created=0,
model=model,
object="chat.completion",
usage=CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0),
usage=CompletionUsage(prompt_tokens=42, completion_tokens=43, total_tokens=85),
),
]
mock = _MockChatCompletion(chat_completions)
@@ -173,9 +181,17 @@ async def test_handoffs(monkeypatch: pytest.MonkeyPatch) -> None:
result = await tool_use_agent.run("task")
assert len(result.messages) == 4
assert isinstance(result.messages[0], TextMessage)
assert result.messages[0].model_usage is None
assert isinstance(result.messages[1], ToolCallMessage)
assert result.messages[1].model_usage is not None
assert result.messages[1].model_usage.completion_tokens == 43
assert result.messages[1].model_usage.prompt_tokens == 42
assert isinstance(result.messages[2], ToolCallResultMessage)
assert result.messages[2].model_usage is None
assert isinstance(result.messages[3], HandoffMessage)
assert result.messages[3].content == handoff.message
assert result.messages[3].target == handoff.target
assert result.messages[3].model_usage is None

# Test streaming.
mock._curr_index = 0 # pyright: ignore


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