analyzer.py

import os
from openai import OpenAI

# -------------------------------------------------------------------
# Configuration for Colibrì GLM-5.2 local runtime
# Ensure you are running: `./coli serve --host 127.0.0.1 --port 8000 --model-id glm-5.2-colibri`
# -------------------------------------------------------------------
API_BASE_URL = os.getenv("API_BASE_URL", "http://127.0.0.1:8000/v1")
API_KEY = os.getenv("API_KEY", "local-secret")
MODEL_ID = os.getenv("MODEL_ID", "glm-5.2-colibri")

client = OpenAI(
    api_key=API_KEY,
    base_url=API_BASE_URL,
)

def analyze_logs(log_content: str) -> str:
    """
    Sends log content to the local AI model to identify anomalies,
    summarize the issue, and propose a solution.
    """
    prompt = f"""You are an expert DevOps engineer and system administrator.
Analyze the following application logs.

Please provide your analysis strictly in this Markdown structure:

## 📊 Executive Summary
[A brief 2-3 sentence summary of what happened]

## 🚨 Identified Anomalies
- [Anomaly 1]
- [Anomaly 2]

## 🛠️ Recommended Fixes
1. [Fix 1]
2. [Fix 2]

---
Logs:
{log_content}
"""

    try:
        response = client.chat.completions.create(
            model=MODEL_ID,
            messages=[
                {"role": "system", "content": "You are a helpful DevOps assistant."},
                {"role": "user", "content": prompt}
            ],
            temperature=0.2,
            max_tokens=800,
        )
        return response.choices[0].message.content
    except Exception as e:
        return f"Error communicating with the local AI model: {str(e)}"