chore: improve agentstack integration

.github/workflows/build-agent.yaml

@@ -0,0 +1,51 @@
+name: Build and Push Agent Image
+
+on:
+  push:
+    tags:
+      - 'release-*'
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v3
+
+    - name: Set up Python environment
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.13'
+
+    - name: Install Agent Stack CLI
+      run: pip install agentstack-cli
+
+    - name: Login to GitHub Container Registry
+      uses: docker/login-action@v2
+      with:
+        registry: ghcr.io
+        username: ${{ github.actor }}
+        password: ${{ secrets.GITHUB_TOKEN }}
+
+    - name: Set up Docker
+      uses: docker/setup-docker-action@v4
+      with:
+        daemon-config: '{"features": {"containerd-snapshotter": true}}'
+
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v3
+
+    - name: Extract version from tag
+      id: extract_version
+      run: |
+        # Extract version from tag (e.g., release-1.2.3 -> 1.2.3)
+        VERSION=${GITHUB_REF#refs/tags/release-}
+        echo "version=$VERSION" >> $GITHUB_OUTPUT
+
+    - name: Build and Push
+      run: |
+        agentstack build ./ --tag ghcr.io/${{ github.repository }}/github-issue-creator:${{ steps.extract_version.outputs.version }} --no-import --multi-platform --push

Dockerfile

@@ -0,0 +1,17 @@
+FROM python:3.13-slim-trixie
+COPY --from=ghcr.io/astral-sh/uv:0.7.15 /uv /bin/
+
+ENV UV_LINK_MODE=copy \
+    PRODUCTION_MODE=true \
+    IS_BUILD_PASS=true
+
+ADD . /app
+WORKDIR /app
+
+RUN uv sync --no-cache --locked --link-mode copy
+
+ENV PRODUCTION_MODE=True \
+    PATH="/app/.venv/bin:$PATH" \
+    HOME=/tmp
+
+CMD ["uv", "run", "--no-sync", "server"]

README.md

@@ -77,6 +77,21 @@ uv run server
 
 The server will start on `http://127.0.0.1:8000` and register the GitHub Issue Creator agent that coordinates the complete workflow.
 
+### Running in Agent Stack
+
+You can also easily start the agent in [Agent Stack](https://agentstack.beeai.dev/).
+
+```bash
+# Install the GH issue creator
+agentstack add ghcr.io/i-am-bee/github-issue-creator/github-issue-creator:0.2.0
+
+# Setup the repo
+agentstack env add "GitHub Issue Creator" GITHUB_REPOSITORY=username/reponame
+
+# Setup the PAT
+agentstack env add "GitHub Issue Creator" GITHUB_PAT=github_pat_XXX
+```
+
 ## Security Considerations
 
 > [!WARNING]

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "github-issue-creator"
-version = "0.1.0"
+version = "0.2.0"
 readme = "README.md"
 authors = [
     {name = "Matous Havlena", email = "matous.havlena@ibm.com"}

src/github_issue_creator/agents/build_mock.py

@@ -0,0 +1,6 @@
+from beeai_framework.agents.requirement import RequirementAgent
+from github_issue_creator.utils.config import llm
+
+
+def get_build_mock():
+    return RequirementAgent(llm=llm)

src/github_issue_creator/agents/manager.py

@@ -25,6 +25,7 @@
 
 async def get_agent_manager():
     """Create and configure the issue workflow management agent."""
+
     tools = await session_manager.get_tools()
 
     try:

src/github_issue_creator/server.py

@@ -1,21 +1,27 @@
+import os
+
 import asyncio
 from textwrap import dedent
 
 from a2a.types import AgentSkill
 from beeai_framework.adapters.beeai_platform.serve.server import BeeAIPlatformServer
-from agentstack_sdk.a2a.extensions.ui.agent_detail import AgentDetail
+from agentstack_sdk.a2a.extensions.ui.agent_detail import AgentDetail, EnvVar
 from openinference.instrumentation.beeai import BeeAIInstrumentor
 
 from github_issue_creator.agents.manager import get_agent_manager
+from github_issue_creator.agents.build_mock import get_build_mock
 
 BeeAIInstrumentor().instrument()
 
+async def get_root_agent():
+    return get_build_mock() if os.getenv("IS_BUILD_PASS") == "true" else await get_agent_manager()
 
 async def run():
-    manager = await get_agent_manager()
-    server = BeeAIPlatformServer(config={"configure_telemetry": True})
+    root_agent = await get_root_agent()
+
+    server = BeeAIPlatformServer(config={"configure_telemetry": True, "port": 8000,"host": "0.0.0.0"})
     server.register(
-        manager,
+        root_agent,
         name="GitHub Issue Creator",
         description=dedent(
             """\
@@ -28,6 +34,14 @@ async def run():
         detail=AgentDetail(
             interaction_mode="multi-turn",
             framework="BeeAI",
+            variables=[
+                EnvVar(name="GITHUB_REPOSITORY", description="The repository to create the issue in", required=True),
+                EnvVar(name="GITHUB_PAT", description="The GitHub Personal Access Token to use for the API", required=True),
+
+                EnvVar(name="DOCS_URL", description="The URL of the documentation to use for the API", required=False),
+                EnvVar(name="TEMPLATE_BUG_URL", description="The URL of the bug template to use for the API", required=False),
+                EnvVar(name="TEMPLATE_FEATURE_URL", description="The URL of the feature template to use for the API", required=False),
+            ],
         ),
         skills=[
             AgentSkill(

src/github_issue_creator/utils/config.py

@@ -1,12 +1,18 @@
 import os
-
 from beeai_framework.backend import ChatModel
 from dotenv import load_dotenv
 
+from beeai_framework.adapters.agentstack.backend.chat import AgentStackChatModel
+
 load_dotenv()
 
-model = os.getenv("MODEL", "openai:gpt-5-mini")
-llm = ChatModel.from_name(model, {"api_key": os.getenv("API_KEY")})
+default_model = "openai:gpt-5-mini"
+
+if os.getenv("API_KEY") is not None:
+    model = os.getenv("MODEL", default_model)
+    llm = ChatModel.from_name(model, {"api_key": os.getenv("API_KEY")})
+else:
+    llm = AgentStackChatModel(preferred_models=[default_model])
 
 # Import after load_dotenv to ensure env vars are loaded
 from github_issue_creator.tools.session_manager import SessionManager