Configuration

Config Key

The configuration section is ai_feedback (loaded from the ai_feedback: key in application.yaml).

Options

Key	Type	Default	Env Variable	Description
enabled	bool	true	LEX_AI_FEEDBACK__ENABLED	Master on/off switch for all feedback collection
async_processing	bool	true	LEX_AI_FEEDBACK__ASYNC_PROCESSING	Process feedback handlers asynchronously in the background
store_raw_payloads	bool	false	LEX_AI_FEEDBACK__STORE_RAW_PAYLOADS	Persist raw incoming feedback payloads for auditing

Example YAML

ai_feedback:
  enabled: true
  async_processing: true
  store_raw_payloads: false

Production YAML

ai_feedback:
  enabled: true
  async_processing: true
  store_raw_payloads: true  # enable for audit traceability

Env Variable Override

export LEX_AI_FEEDBACK__ENABLED=true
export LEX_AI_FEEDBACK__ASYNC_PROCESSING=true
export LEX_AI_FEEDBACK__STORE_RAW_PAYLOADS=true

Programmatic

from lexigram.ai.feedback.config import FeedbackConfig

config = FeedbackConfig(
    enabled=True,
    async_processing=True,
    store_raw_payloads=False,
)

Config Model

Loaded as a BaseConfig subclass (FeedbackConfig) by FeedbackProvider. The config instance is registered as a container singleton at register() time.

cfg = await container.resolve(FeedbackConfig)

Notes

• store_raw_payloads increases storage usage — enable only when audit requirements demand it.
• async_processing controls whether feedback processors run in background tasks or block the request path. Default true is safe for production.