Use new template repo

.github/workflows/publish.yml

@@ -16,8 +16,6 @@ jobs:
       matrix:
         include:
           # Update this to build your own agent images.
-          - name: adk-debate-judge
-            dockerfile: scenarios/debate/Dockerfile.adk-debate-judge
           - name: debate-judge
             dockerfile: scenarios/debate/Dockerfile.debate-judge
           - name: debater

README.md

@@ -5,18 +5,19 @@
 ## Quickstart
 1. Clone the repo
 ```
-git clone [email protected]:rdi-foundation/agentbeats-tutorial.git
+git clone [email protected]:RDI-Foundation/agentbeats-tutorial.git agentbeats-tutorial
 cd agentbeats-tutorial
 ```
 2. Install dependencies
 ```
-uv sync
+uv sync --extra debate
 ```
+This installs the optional dependencies needed to run the debate scenario (Gemini).
 3. Set environment variables
 ```
 cp sample.env .env
 ```
-Add your Google API key to the .env file
+Fill in the keys you plan to use (e.g. `GOOGLE_API_KEY` for the debate example and `OPENAI_API_KEY` for the tau2 example).
 
 4. Run the [debate example](#example)
 ```
@@ -29,6 +30,8 @@ This command will:
 
 **Note:** Use `--show-logs` to see agent outputs during the assessment, and `--serve-only` to start agents without running the assessment.
 
+**Note:** If you see `Error: Some agent endpoints are already in use`, change the ports in the scenario TOML (or stop the process using them).
+
 To run this example manually, start the agent servers in separate terminals, and then in another terminal run the A2A client on the scenario.toml file to initiate the assessment.
 
 After running, you should see an output similar to this.
@@ -37,21 +40,22 @@ After running, you should see an output similar to this.
 
 ## Project Structure
 ```
-src/
-└─ agentbeats/
-   ├─ green_executor.py        # base A2A green agent executor
-   ├─ models.py                # pydantic models for green agent IO
-   ├─ client.py                # A2A messaging helpers
-   ├─ client_cli.py            # CLI client to start assessment
-   └─ run_scenario.py          # run agents and start assessment
-
 scenarios/
-└─ debate/                     # implementation of the debate example
-   ├─ debate_judge.py          # green agent impl using the official A2A SDK
-   ├─ adk_debate_judge.py      # alternative green agent impl using Google ADK
-   ├─ debate_judge_common.py   # models and utils shared by above impls
-   ├─ debater.py               # debater agent (Google ADK)
-   └─ scenario.toml            # config for the debate example
+├─ debate/
+│  ├─ judge/src/               # green agent (green-agent-template structure)
+│  ├─ debater/src/             # purple agent (agent-template structure)
+│  ├─ Dockerfile.debate-judge
+│  ├─ Dockerfile.debater
+│  └─ scenario.toml
+└─ tau2/
+   ├─ evaluator/src/           # green agent (green-agent-template structure)
+   ├─ agent/src/               # purple agent (agent-template structure)
+   ├─ Dockerfile.tau2-evaluator
+   ├─ Dockerfile.tau2-agent
+   ├─ setup.sh                 # downloads tau2-bench data for local runs
+   └─ scenario.toml
+
+src/agentbeats/                # optional local runner + A2A client helpers (`agentbeats-run`)
 ```
 
 # AgentBeats Tutorial
@@ -122,7 +126,10 @@ To make things concrete, we will use a debate scenario as our toy example:
 - Two purple agents (`Debater`) participate by presenting arguments for their side of the topic.
 
 To run this example, we start all three servers and then use an A2A client to send an `assessment_request` to the green agent and observe its outputs.
-The full example code is given in the template repository. Follow the quickstart guide to setup the project and run the example.
+The debate example is implemented using the same structure as the supported templates:
+
+- Green agent: `scenarios/debate/judge/src/` (green-agent-template style)
+- Purple agent: `scenarios/debate/debater/src/` (agent-template style)
 
 ### Dockerizing Agent
 

pyproject.toml

@@ -9,16 +9,22 @@ description = "Agentbeats Tutorial"
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
-    "a2a-sdk>=0.3.5",
-    "google-adk>=1.14.1",
+    "a2a-sdk[http-server]>=0.3.20",
+    "httpx>=0.28.1",
+    "pydantic>=2.11.9",
+    "python-dotenv>=1.1.1",
+    "uvicorn>=0.38.0",
+]
+
+[project.optional-dependencies]
+debate = [
     "google-genai>=1.36.0",
+]
+tau2-agent = [
     "litellm>=1.0.0",
-    "loguru>=0.7.0",
+]
+tau2-evaluator = [
     "nest-asyncio>=1.6.0",
-    "pydantic>=2.11.9",
-    "python-dotenv>=1.1.1",
-    "uvicorn>=0.35.0",
-    # tau2 from GitHub
     "tau2 @ git+https://github.com/sierra-research/tau2-bench.git",
 ]
 

sample.env

@@ -1,2 +1,3 @@
 GOOGLE_GENAI_USE_VERTEXAI=FALSE
 GOOGLE_API_KEY=
+OPENAI_API_KEY=

scenarios/debate/Dockerfile.debate-judge

@@ -1,4 +1,6 @@
-FROM ghcr.io/astral-sh/uv:python3.12-trixie
+FROM ghcr.io/astral-sh/uv:python3.13-bookworm
+
+ENV UV_HTTP_TIMEOUT=300
 
 RUN adduser agentbeats
 USER agentbeats
@@ -9,10 +11,10 @@ COPY src src
 
 RUN \
     --mount=type=cache,target=/home/agentbeats/.cache/uv,uid=1000 \
-    uv sync --locked
+    uv sync --locked --no-dev --no-install-project --extra debate
 
 COPY scenarios scenarios
 
-ENTRYPOINT ["uv", "run", "scenarios/debate/debate_judge.py"]
+ENTRYPOINT ["uv", "run", "scenarios/debate/judge/src/server.py"]
 CMD ["--host", "0.0.0.0"]
 EXPOSE 9009

scenarios/debate/Dockerfile.debater

@@ -1,4 +1,6 @@
-FROM ghcr.io/astral-sh/uv:python3.12-trixie
+FROM ghcr.io/astral-sh/uv:python3.13-bookworm
+
+ENV UV_HTTP_TIMEOUT=300
 
 RUN adduser agentbeats
 USER agentbeats
@@ -9,10 +11,10 @@ COPY src src
 
 RUN \
     --mount=type=cache,target=/home/agentbeats/.cache/uv,uid=1000 \
-    uv sync --locked
+    uv sync --locked --no-dev --no-install-project --extra debate
 
 COPY scenarios scenarios
 
-ENTRYPOINT ["uv", "run", "scenarios/debate/debater.py"]
+ENTRYPOINT ["uv", "run", "scenarios/debate/debater/src/server.py"]
 CMD ["--host", "0.0.0.0"]
 EXPOSE 9019