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@miguelmanlyx miguelmanlyx commented Dec 15, 2025

Adds AI Badgr as a documented OpenAI-compatible LLM provider with tier-based model naming (basic, normal, premium) and Budget/Json labeling.

Changes

  • docs/en/concepts/llms.mdx: Added AI Badgr accordion with configuration, usage examples, and tier-based model table
  • docs/en/learn/llm-connections.mdx: Added AI Badgr to OpenAI-compatible provider examples

Configuration

Uses standard OpenAI environment variables for seamless integration:

OPENAI_API_KEY=<your-aibadgr-api-key>
OPENAI_API_BASE=https://aibadgr.com/api/v1
OPENAI_MODEL_NAME=openai/premium

Usage

from crewai import LLM

llm = LLM(
    model="openai/premium",  # Tier: basic, normal, or premium
    api_key="your-api-key",
    base_url="https://aibadgr.com/api/v1"
)

No code changes—works with existing CrewAI LLM infrastructure.


Note

Adds documentation for AI Badgr as an OpenAI-compatible provider with env var setup, LLM usage examples, and tier-based model naming.

  • Docs:
    • docs/en/concepts/llms.mdx:
      • Add new AI Badgr accordion detailing OpenAI-compatible setup (OPENAI_API_KEY, OPENAI_API_BASE, OPENAI_MODEL_NAME).
      • Include basic/advanced LLM usage examples and tier-based model table (basic, normal, premium).
    • docs/en/learn/llm-connections.mdx:
      • Add AI Badgr examples for OpenAI-compatible connections via environment variables and LLM class attributes.

Written by Cursor Bugbot for commit 175b606. This will update automatically on new commits. Configure here.

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