working demo

.gitignore

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 venv
 .venv
+__pycache__

Dockerfile

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+FROM python:3.14-alpine
+WORKDIR /usr/src/llm-reviewer
+COPY . .
+RUN pip install -r requirements.txt
+CMD uvicorn main:app --host 0.0.0.0 --port 8080

README.md

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 # llm reviewer
+
+running server
+```bash
+docker build -t llm-reviewer .
+docker run -d --rm -p 8080:8080 --name llm-reviewer llm-reviewer
+```
+
+in gitea repository fill:
+- secrets:
+  ```
+  LLM_REVIEW_OPENROUTER_KEY
+  ```
+
+- variables:
+  ```
+  LLM_REVIEW_HOST
+  LLM_REVIEW_MODEL
+  ```
+
+put `llm-reviewer.yaml` into `.gitea/workflows/`

llm-reviewer.yaml

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+name: LLM PR Review
+
+on:
+  pull_request:
+    types: [opened, synchronize]
+
+permissions:
+  contents: read
+  pull-requests: write
+  issues: write
+
+jobs:
+  llm-review:
+    if: github.event.pull_request.draft == false
+    runs-on: ubuntu-latest
+    steps:
+      - name: Trigger AI Reviewer
+        run: |
+          curl -f -X POST "${{ vars.LLM_REVIEW_HOST }}" \
+            -H "Content-Type: application/json" \
+            -d '{
+              "gitea_token": "${{ secrets.GITHUB_TOKEN }}",
+              "gitea_host": "${{ github.server_url }}",
+              "openrouter_key": "${{ secrets.LLM_REVIEW_OPENROUTER_KEY }}",
+              "model": "${{ vars.LLM_REVIEW_MODEL }}",
+              "repo": "${{ github.repository }}",
+              "pr_number": ${{ github.event.pull_request.number }}
+            }'

main.py

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+import requests
+from fastapi import FastAPI
+from openai import OpenAI
+from pydantic import BaseModel
+
+app = FastAPI()
+
+class ReviewRequest(BaseModel):
+    gitea_token: str
+    gitea_host: str
+    openrouter_key: str
+    model: str
+    repo: str
+    pr_number: int
+
+@app.post("/")
+async def review(
+    request_body: ReviewRequest,
+):
+    print('starting bg task with:')
+    print(f'request: {request_body}')
+
+    gitea_host = request_body.gitea_host.rstrip("/")
+
+    headers = {"Authorization": f"token {request_body.gitea_token}"}
+
+    diff_res = requests.get(f"{gitea_host}/api/v1/repos/{request_body.repo}/pulls/{request_body.pr_number}.diff", headers=headers)
+    if diff_res.status_code != 200 or not diff_res.text.strip():
+        return
+
+    diff_text = diff_res.text
+
+    client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=request_body.openrouter_key)
+
+    prompt = (
+            "You are an automated senior code reviewer. Review the following git diff.\n"
+            "Focus on: critical bugs, security vulnerabilities, edge cases, and code smells.\n"
+            "Keep it short and clear, don't give me long solutions."
+            "Format your answer cleanly in Markdown with actionable feedback.\n\n"
+            f"```diff\n{diff_text}\n```"
+    )
+    completion = client.chat.completions.create(
+        model=request_body.model,
+        messages=[{"role": "user", "content": prompt}]
+    )
+
+    review_content = completion.choices[0].message.content
+
+    review_body = f"# llm review\n\n{review_content}"
+
+    requests.post(
+        f"{gitea_host}/api/v1/repos/{request_body.repo}/pulls/{request_body.pr_number}/reviews",
+        headers=headers,
+        json={"body": review_body, "event": "COMMENT"}
+    )
+
+    return {"status": "done"}

requirements.txt

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+fastapi
+uvicorn
+openai
+requests
+pydantic