Merge pull request #1561 from KennyDizi/main

Support reasoning effort via configuration
This commit is contained in:
Tal
2025-02-26 10:13:05 +02:00
committed by GitHub
5 changed files with 33 additions and 2 deletions

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@ -204,3 +204,12 @@ custom_model_max_tokens= ...
4. Most reasoning models do not support chat-style inputs (`system` and `user` messages) or temperature settings.
To bypass chat templates and temperature controls, set `config.custom_reasoning_model = true` in your configuration file.
## Dedicated parameters
### OpenAI models
[config]
reasoning_efffort= = "medium" # "low", "medium", "high"
With the OpenAI models that support reasoning effort (eg: o3-mini), you can specify its reasoning effort via `config` section. The default value is `medium`. You can change it to `high` or `low` based on your usage.

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@ -104,3 +104,8 @@ NO_SUPPORT_TEMPERATURE_MODELS = [
"o3-mini-2025-01-31",
"o1-preview"
]
SUPPORT_REASONING_EFFORT_MODELS = [
"o3-mini",
"o3-mini-2025-01-31"
]

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@ -6,9 +6,9 @@ import requests
from litellm import acompletion
from tenacity import retry, retry_if_exception_type, stop_after_attempt
from pr_agent.algo import NO_SUPPORT_TEMPERATURE_MODELS, USER_MESSAGE_ONLY_MODELS
from pr_agent.algo import NO_SUPPORT_TEMPERATURE_MODELS, SUPPORT_REASONING_EFFORT_MODELS, USER_MESSAGE_ONLY_MODELS
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
from pr_agent.algo.utils import get_version
from pr_agent.algo.utils import ReasoningEffort, get_version
from pr_agent.config_loader import get_settings
from pr_agent.log import get_logger
@ -101,6 +101,9 @@ class LiteLLMAIHandler(BaseAiHandler):
# Model that doesn't support temperature argument
self.no_support_temperature_models = NO_SUPPORT_TEMPERATURE_MODELS
# Models that support reasoning effort
self.support_reasoning_models = SUPPORT_REASONING_EFFORT_MODELS
def prepare_logs(self, response, system, user, resp, finish_reason):
response_log = response.dict().copy()
response_log['system'] = system
@ -228,8 +231,16 @@ class LiteLLMAIHandler(BaseAiHandler):
# Add temperature only if model supports it
if model not in self.no_support_temperature_models and not get_settings().config.custom_reasoning_model:
get_logger().info(f"Adding temperature with value {temperature} to model {model}.")
kwargs["temperature"] = temperature
# Add reasoning_effort if model supports it
if (model in self.support_reasoning_models):
supported_reasoning_efforts = [ReasoningEffort.HIGH.value, ReasoningEffort.MEDIUM.value, ReasoningEffort.LOW.value]
reasoning_effort = get_settings().config.reasoning_effort if (get_settings().config.reasoning_effort in supported_reasoning_efforts) else ReasoningEffort.MEDIUM.value
get_logger().info(f"Adding reasoning_effort with value {reasoning_effort} to model {model}.")
kwargs["reasoning_effort"] = reasoning_effort
if get_settings().litellm.get("enable_callbacks", False):
kwargs = self.add_litellm_callbacks(kwargs)

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@ -50,6 +50,11 @@ class PRReviewHeader(str, Enum):
REGULAR = "## PR Reviewer Guide"
INCREMENTAL = "## Incremental PR Reviewer Guide"
class ReasoningEffort(str, Enum):
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
class PRDescriptionHeader(str, Enum):
CHANGES_WALKTHROUGH = "### **Changes walkthrough** 📝"

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@ -48,6 +48,7 @@ ignore_pr_authors = [] # authors to ignore from PR agent when an PR is created
#
is_auto_command = false # will be auto-set to true if the command is triggered by an automation
enable_ai_metadata = false # will enable adding ai metadata
reasoning_effort = "medium" # "low", "medium", "high"
# auto approval 💎
enable_auto_approval=false # Set to true to enable auto-approval of PRs under certain conditions
auto_approve_for_low_review_effort=-1 # -1 to disable, [1-5] to set the threshold for auto-approval