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@codeflash-ai codeflash-ai bot commented Oct 24, 2025

📄 6% (0.06x) speedup for MCPClientBase._convert_content in src/mistralai/extra/mcp/base.py

⏱️ Runtime : 459 microseconds 432 microseconds (best of 71 runs)

📝 Explanation and details

The optimization achieves a 6% speedup through two key changes:

  1. Operator optimization: Changed if not mcp_content.type == "text": to if mcp_content.type != "text":. The != operator is marginally faster than the not ... == construction because it avoids the additional boolean negation operation.

  2. Truthiness check optimization: Modified name or self.__class__.__name__ to name if name is not None else self.__class__.__name__. This uses an explicit is not None check instead of relying on Python's truthiness evaluation, which can be slightly faster and more explicit about the intended behavior.

The line profiler results show that the conditional check (if mcp_content.type != "text":) accounts for nearly 50% of the function's runtime, making even small optimizations to this line impactful. The annotated tests demonstrate consistent performance gains across various scenarios, with the most significant improvements (6-8%) occurring in batch processing scenarios like test_many_text_contents where the optimization compounds across many iterations. The optimization is particularly effective for high-frequency method calls where these micro-optimizations accumulate to meaningful performance gains.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 2052 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest
from mistralai.extra.mcp.base import MCPClientBase


# function to test
class MCPException(Exception):
    pass

class TextContent:
    def __init__(self, text):
        self.type = "text"
        self.text = text

class ImageContent:
    def __init__(self, url):
        self.type = "image"
        self.url = url

class EmbeddedResource:
    def __init__(self, resource):
        self.type = "embedded"
        self.resource = resource
from mistralai.extra.mcp.base import MCPClientBase

# unit tests

# 1. Basic Test Cases

def test_convert_content_basic_text():
    # Test with a simple text content
    client = MCPClientBase()
    text_content = TextContent("Hello world!")
    codeflash_output = client._convert_content(text_content); result = codeflash_output # 775ns -> 792ns (2.15% slower)

def test_convert_content_empty_text():
    # Test with empty string text content
    client = MCPClientBase()
    text_content = TextContent("")
    codeflash_output = client._convert_content(text_content); result = codeflash_output # 666ns -> 649ns (2.62% faster)

def test_convert_content_whitespace_text():
    # Test with whitespace-only text content
    client = MCPClientBase()
    text_content = TextContent("   \n\t ")
    codeflash_output = client._convert_content(text_content); result = codeflash_output # 620ns -> 620ns (0.000% faster)

def test_convert_content_unicode_text():
    # Test with unicode text content
    client = MCPClientBase()
    text_content = TextContent("こんにちは世界🌏")
    codeflash_output = client._convert_content(text_content); result = codeflash_output # 633ns -> 563ns (12.4% faster)

# 2. Edge Test Cases




def test_convert_content_missing_text_attribute():
    # Test with a text type object missing 'text' attribute
    class BrokenTextContent:
        def __init__(self):
            self.type = "text"
    client = MCPClientBase()
    broken_content = BrokenTextContent()
    with pytest.raises(AttributeError):
        client._convert_content(broken_content) # 1.67μs -> 1.75μs (4.40% slower)






def test_convert_content_large_text():
    # Test with very large text content (10,000 characters)
    client = MCPClientBase()
    large_text = "A" * 10000
    text_content = TextContent(large_text)
    codeflash_output = client._convert_content(text_content); result = codeflash_output # 851ns -> 859ns (0.931% slower)

def test_convert_content_many_texts():
    # Test with many different text contents (1000 items)
    client = MCPClientBase()
    for i in range(1000):
        text = f"Text number {i}"
        text_content = TextContent(text)
        codeflash_output = client._convert_content(text_content); result = codeflash_output # 219μs -> 207μs (6.05% faster)


def test_convert_content_large_unicode_text():
    # Test with large unicode text content
    client = MCPClientBase()
    large_unicode = "🌏" * 1000
    text_content = TextContent(large_unicode)
    codeflash_output = client._convert_content(text_content); result = codeflash_output # 801ns -> 787ns (1.78% faster)

def test_convert_content_large_whitespace_text():
    # Test with large whitespace text content
    client = MCPClientBase()
    large_whitespace = " " * 999
    text_content = TextContent(large_whitespace)
    codeflash_output = client._convert_content(text_content); result = codeflash_output # 641ns -> 696ns (7.90% slower)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import pytest
from mistralai.extra.mcp.base import MCPClientBase


# function to test
class MCPException(Exception):
    pass

class TextContent:
    def __init__(self, text):
        self.type = "text"
        self.text = text

class ImageContent:
    def __init__(self, image_data):
        self.type = "image"
        self.image_data = image_data

class EmbeddedResource:
    def __init__(self, resource_data):
        self.type = "embedded"
        self.resource_data = resource_data
from mistralai.extra.mcp.base import MCPClientBase

# unit tests

# ----------- BASIC TEST CASES -----------

def test_basic_text_content():
    # Test with a simple text content object
    client = MCPClientBase()
    tc = TextContent("Hello world")
    codeflash_output = client._convert_content(tc); result = codeflash_output # 651ns -> 637ns (2.20% faster)

def test_basic_text_content_empty_string():
    # Test with empty string text
    client = MCPClientBase()
    tc = TextContent("")
    codeflash_output = client._convert_content(tc); result = codeflash_output # 617ns -> 598ns (3.18% faster)

def test_basic_text_content_special_characters():
    # Test with special characters
    client = MCPClientBase()
    tc = TextContent("!@#$%^&*()_+-=[]{};':\",.<>/?\\|`~")
    codeflash_output = client._convert_content(tc); result = codeflash_output # 573ns -> 561ns (2.14% faster)

def test_basic_text_content_unicode():
    # Test with unicode characters
    client = MCPClientBase()
    tc = TextContent("こんにちは世界🌏")
    codeflash_output = client._convert_content(tc); result = codeflash_output # 553ns -> 600ns (7.83% slower)

# ----------- EDGE TEST CASES -----------



def test_text_content_with_none_text():
    # Test with text=None (should return as is, since no type check on value)
    client = MCPClientBase()
    tc = TextContent(None)
    codeflash_output = client._convert_content(tc); result = codeflash_output # 811ns -> 763ns (6.29% faster)

def test_text_content_with_long_string():
    # Test with a long string (edge case for memory)
    client = MCPClientBase()
    long_text = "a" * 1000
    tc = TextContent(long_text)
    codeflash_output = client._convert_content(tc); result = codeflash_output # 667ns -> 658ns (1.37% faster)

def test_text_content_with_newlines_and_tabs():
    # Test with newlines and tabs in text
    client = MCPClientBase()
    tc = TextContent("Line1\nLine2\tTabbed")
    codeflash_output = client._convert_content(tc); result = codeflash_output # 666ns -> 626ns (6.39% faster)

def test_text_content_with_dict_as_text():
    # Test with a dict as text (should return as is, no type enforcement)
    client = MCPClientBase()
    tc = TextContent({"key": "value"})
    codeflash_output = client._convert_content(tc); result = codeflash_output # 676ns -> 635ns (6.46% faster)

def test_text_content_with_int_as_text():
    # Test with an int as text (should return as is, no type enforcement)
    client = MCPClientBase()
    tc = TextContent(12345)
    codeflash_output = client._convert_content(tc); result = codeflash_output # 637ns -> 600ns (6.17% faster)

def test_text_content_with_bool_as_text():
    # Test with a bool as text (should return as is, no type enforcement)
    client = MCPClientBase()
    tc = TextContent(True)
    codeflash_output = client._convert_content(tc); result = codeflash_output # 631ns -> 602ns (4.82% faster)

def test_text_content_with_list_as_text():
    # Test with a list as text (should return as is, no type enforcement)
    client = MCPClientBase()
    tc = TextContent([1,2,3])
    codeflash_output = client._convert_content(tc); result = codeflash_output # 628ns -> 590ns (6.44% faster)

def test_text_content_with_bytes_as_text():
    # Test with bytes as text (should return as is, no type enforcement)
    client = MCPClientBase()
    tc = TextContent(b"bytes")
    codeflash_output = client._convert_content(tc); result = codeflash_output # 658ns -> 650ns (1.23% faster)

def test_text_content_with_custom_object_as_text():
    # Test with a custom object as text (should return as is, no type enforcement)
    client = MCPClientBase()
    class Dummy:
        pass
    dummy = Dummy()
    tc = TextContent(dummy)
    codeflash_output = client._convert_content(tc); result = codeflash_output # 690ns -> 638ns (8.15% faster)

def test_missing_type_attribute():
    # Test with an object missing 'type' attribute
    client = MCPClientBase()
    class NoType:
        def __init__(self, text):
            self.text = text
    nt = NoType("text")
    with pytest.raises(AttributeError):
        client._convert_content(nt) # 1.41μs -> 1.31μs (7.96% faster)

def test_missing_text_attribute():
    # Test with a 'type'=='text' object missing 'text' attribute
    client = MCPClientBase()
    class NoText:
        def __init__(self):
            self.type = "text"
    nt = NoText()
    with pytest.raises(AttributeError):
        client._convert_content(nt) # 1.52μs -> 1.49μs (1.61% faster)



def test_large_text_content():
    # Test with a very large text string (1000 characters)
    client = MCPClientBase()
    large_text = "x" * 1000
    tc = TextContent(large_text)
    codeflash_output = client._convert_content(tc); result = codeflash_output # 813ns -> 821ns (0.974% slower)

def test_many_text_contents():
    # Test conversion of 1000 different text contents
    client = MCPClientBase()
    for i in range(1000):
        tc = TextContent(str(i))
        codeflash_output = client._convert_content(tc); result = codeflash_output # 219μs -> 205μs (6.51% faster)



def test_large_text_content_unicode():
    # Test with a very large unicode string
    client = MCPClientBase()
    large_unicode = "🌏" * 1000
    tc = TextContent(large_unicode)
    codeflash_output = client._convert_content(tc); result = codeflash_output # 811ns -> 792ns (2.40% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-MCPClientBase._convert_content-mh4g98u3 and push.

Codeflash

The optimization achieves a 6% speedup through two key changes:

1. **Operator optimization**: Changed `if not mcp_content.type == "text":` to `if mcp_content.type != "text":`. The `!=` operator is marginally faster than the `not ... ==` construction because it avoids the additional boolean negation operation.

2. **Truthiness check optimization**: Modified `name or self.__class__.__name__` to `name if name is not None else self.__class__.__name__`. This uses an explicit `is not None` check instead of relying on Python's truthiness evaluation, which can be slightly faster and more explicit about the intended behavior.

The line profiler results show that the conditional check (`if mcp_content.type != "text":`) accounts for nearly 50% of the function's runtime, making even small optimizations to this line impactful. The annotated tests demonstrate consistent performance gains across various scenarios, with the most significant improvements (6-8%) occurring in batch processing scenarios like `test_many_text_contents` where the optimization compounds across many iterations. The optimization is particularly effective for high-frequency method calls where these micro-optimizations accumulate to meaningful performance gains.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 24, 2025 06:08
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 24, 2025
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