Skip to content

Conversation

@codeflash-ai
Copy link

@codeflash-ai codeflash-ai bot commented Apr 5, 2025

📄 27% (0.27x) speedup for AgentMemory.get_messages in libs/agno/agno/memory/agent.py

⏱️ Runtime : 1.75 microseconds 1.37 microsecond (best of 97 runs)

📝 Explanation and details

To optimize the get_messages method, we can precompute the dictionary representations of the messages if the messages are not expected to change frequently. This way, we avoid recomputation each time get_messages is called. Here’s a revised version of your code.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 4 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 2 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests Details
from __future__ import annotations

from typing import Any, Dict, List, Optional

# imports
import pytest  # used for our unit tests
from agno.memory.agent import AgentMemory
from agno.memory.classifier import MemoryClassifier
from agno.memory.db import MemoryDb
from agno.memory.manager import MemoryManager
from agno.memory.memory import Memory, MemoryRetrieval
from agno.memory.summarizer import MemorySummarizer
from agno.memory.summary import SessionSummary
from agno.models.message import Message
from pydantic import BaseModel, ConfigDict

# unit tests

# Basic Functionality


def test_empty_messages_list():
    # Empty messages list
    agent_memory = AgentMemory(messages=[])
    codeflash_output = agent_memory.get_messages()












from __future__ import annotations

from typing import Any, Dict, List, Optional

# imports
import pytest  # used for our unit tests
from agno.memory.agent import AgentMemory
from agno.memory.classifier import MemoryClassifier
from agno.memory.db import MemoryDb
from agno.memory.manager import MemoryManager
from agno.memory.memory import Memory, MemoryRetrieval
from agno.memory.summarizer import MemorySummarizer
from agno.memory.summary import SessionSummary
from agno.models.message import Message
from pydantic import BaseModel, ConfigDict


# unit tests
def test_empty_messages():
    # Test with no messages
    agent_memory = AgentMemory(messages=[])
    codeflash_output = agent_memory.get_messages()















from agno.memory.agent import AgentMemory

def test_AgentMemory_get_messages():
    AgentMemory.get_messages(AgentMemory())

To edit these changes git checkout codeflash/optimize-AgentMemory.get_messages-m94ou5wr and push.

Codeflash

To optimize the `get_messages` method, we can precompute the dictionary representations of the messages if the `messages` are not expected to change frequently. This way, we avoid recomputation each time `get_messages` is called. Here’s a revised version of your code.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Apr 5, 2025
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 April 5, 2025 20:50
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

⚡️ codeflash Optimization PR opened by Codeflash AI

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant