[enhancement] Add reasoning_effort parameter support for Azure/OpenAI configs

[agam1092005]

Description

Added support for the reasoning_effort parameter in AzureOpenAIConfig and OpenAIConfig classes to enable testing and comparison of different reasoning effort levels ("low", "medium", "high") supported by OpenAI's reasoning models (o1, o3, gpt-5).

The parameter was recently added to OpenAI SDK but was not implemented in Mem0's configuration classes, causing a TypeError when users tried to pass reasoning_effort in their config.

This change enables users to evaluate performance and latency trade-offs across reasoning models directly within Mem0.

Fixes #3651

Type of change

• [x] Bug fix (non-breaking change which fixes an issue)
• [ ] New feature (non-breaking change which adds functionality)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] Refactor (does not change functionality, e.g. code style improvements, linting)
• [ ] Documentation update

How Has This Been Tested?

Tested by initializing both config classes with the reasoning_effort parameter and verifying:

1. Parameter is accepted and stored correctly
2. Parameter is included in API params for reasoning models (o1, o3, gpt-5)
3. Parameter is excluded for non-reasoning models (gpt-4, etc.)
4. All existing unit tests pass

• [x] Unit Test
• [x] Test Script (please provide)

# Test script used
from mem0.configs.llms.azure import AzureOpenAIConfig
from mem0.configs.llms.openai import OpenAIConfig

# Test AzureOpenAIConfig
azure_config = AzureOpenAIConfig(
    model="o1-preview",
    reasoning_effort="medium"
)
assert azure_config.reasoning_effort == "medium"

# Test OpenAIConfig
openai_config = OpenAIConfig(
    model="o1-mini",
    reasoning_effort="low"
)
assert openai_config.reasoning_effort == "low"


Fixes #3651 

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All committers have signed the CLA.

[parthshr370]

Hey @agam1092005 thanks for sending this PR , could you update the title to [enhancement] , and then I will start the discussion and the review , could you also point me to this new change in OpenAIConfig , maybe a release note ?

[agam1092005]

Hi @parshvadaftari

Thanks for reviewing! I've updated the PR title to include [enhancement].

Regarding the reasoning_effort parameter in OpenAI SDK, here are the references:

OpenAI Documentation & Release Notes:

1. Official API Reference: Chat Completions - reasoning_effort parameter

   • Supported values: "low", "medium", "high"
   • Available for reasoning models: o1, o3, gpt-5 series

2. OpenAI Python SDK (v1.54.0+): The parameter was added to support reasoning models

   • OpenAI SDK GitHub - types/chat/completion_create_params.py

3. Azure OpenAI Documentation: Azure OpenAI reasoning models

   • Confirms Azure OpenAI also supports this parameter for reasoning models

Context:

The parameter controls the inference-time compute budget for reasoning models. Higher effort levels use more tokens and time but potentially provide better reasoning quality. This is particularly useful for evaluating performance/latency trade-offs.

Let me know if you need any additional information or changes! 🙂