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RoxyFarhadRoxyFarhad
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adding the basic workflows
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‎.github/workflows/agentex-tutorials-test.yml‎

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@@ -0,0 +1,29 @@
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name: Test Tutorial Agents
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on:
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workflow_dispatch:
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jobs:
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test-tutorials:
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timeout-minutes: 10
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name: test-tutorials
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Install Rye
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run: |
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curl -sSf https://rye.astral.sh/get | bash
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echo "$HOME/.rye/shims" >> $GITHUB_PATH
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env:
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RYE_VERSION: "0.44.0"
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RYE_INSTALL_OPTION: "--yes"
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- name: Bootstrap
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run: ./scripts/bootstrap
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- name: Simple validation test
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run: |
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echo "✅ Tutorial test workflow is working!"
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echo "Rye version: $(rye --version)"
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echo "Python version: $(python --version)"

‎.github/workflows/build-and-push-tutorial-agent.yml‎

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@@ -24,3 +24,91 @@ on:
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required: true
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type: string
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default: "latest"
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permissions:
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contents: read
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packages: write
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jobs:
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build-and-push-agent:
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timeout-minutes: 10
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name: Build Tutorial Agent
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Validate agent path exists
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run: |
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if [ ! -d "${{ inputs.agent_path }}" ]; then
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echo "❌ Error: Agent path '${{ inputs.agent_path }}' does not exist"
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exit 1
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fi
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echo "✅ Agent path verified: ${{ inputs.agent_path }}"
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- name: Validate manifest.yaml exists
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run: |
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if [ ! -f "${{ inputs.agent_path }}/manifest.yaml" ]; then
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echo "❌ Error: manifest.yaml not found in '${{ inputs.agent_path }}'"
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exit 1
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fi
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echo "✅ manifest.yaml found"
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echo "### Validation Summary" >> $GITHUB_STEP_SUMMARY
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echo "- **Agent Path**: ${{ inputs.agent_path }}" >> $GITHUB_STEP_SUMMARY
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echo "- **Version Tag**: ${{ inputs.version_tag }}" >> $GITHUB_STEP_SUMMARY
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echo "- **Status**: ✅ Validation passed" >> $GITHUB_STEP_SUMMARY
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: "3.12"
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- name: Get latest agentex-sdk version from PyPI
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id: get-version
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run: |
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LATEST_VERSION=$(curl -s https://pypi.org/pypi/agentex-sdk/json | jq -r '.info.version')
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echo "Latest agentex-sdk version: $LATEST_VERSION"
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echo "AGENTEX_SDK_VERSION=$LATEST_VERSION" >> $GITHUB_ENV
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pip install agentex-sdk==$LATEST_VERSION
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echo "Installed agentex-sdk version $LATEST_VERSION"
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- name: Generate Image name
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id: image-name
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run: |
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# Remove examples/tutorials/ prefix and replace / with -
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AGENT_NAME=$(echo "${{ inputs.agent_path }}" | sed 's|^examples/tutorials/||' | sed 's|/|-|g')
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echo "AGENT_NAME=$AGENT_NAME" >> $GITHUB_ENV
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echo "agent_name=$AGENT_NAME" >> $GITHUB_OUTPUT
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echo "Agent name set to $AGENT_NAME"
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- name: Login to GitHub Container Registry
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uses: docker/login-action@v3
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with:
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registry: ghcr.io
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Build and Push Agent Image
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env:
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REGISTRY: ghcr.io
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run: |
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AGENT_NAME="${{ steps.image-name.outputs.agent_name }}"
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VERSION_TAG="${{ inputs.version_tag }}"
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REPOSITORY_NAME="${{ github.repository }}/tutorial-agents/${AGENT_NAME}"
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FULL_IMAGE="${REGISTRY}/${REPOSITORY_NAME}:${VERSION_TAG}"
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agentex agents build \
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--manifest "${{ inputs.agent_path }}/manifest.yaml" \
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--registry "${REGISTRY}" \
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--tag "${VERSION_TAG}" \
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--platforms "linux/amd64" \
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--repository-name "${REPOSITORY_NAME}" \
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--push
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echo "Successfully built and pushed: ${FULL_IMAGE}"
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echo "### Build Complete" >> $GITHUB_STEP_SUMMARY
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echo "- **Image**: \`${FULL_IMAGE}\`" >> $GITHUB_STEP_SUMMARY

‎examples/tutorials/10_agentic/00_base/040_other_sdks/project/acp.py‎

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Original file line numberDiff line numberDiff line change
@@ -42,6 +42,7 @@
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config=AgenticACPConfig(type="base"),
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)
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class StateModel(BaseModel):
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input_list: List[dict]
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turn_number: int
@@ -53,11 +54,7 @@ class StateModel(BaseModel):
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args=["-y", "@modelcontextprotocol/server-sequential-thinking"],
5455
),
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StdioServerParameters(
56-
command="uvx",
57-
args=["openai-websearch-mcp"],
58-
env={
59-
"OPENAI_API_KEY": os.environ.get("OPENAI_API_KEY", "")
60-
}
57+
command="uvx", args=["openai-websearch-mcp"], env={"OPENAI_API_KEY": os.environ.get("OPENAI_API_KEY", "")}
6158
),
6259
]
6360

@@ -72,6 +69,7 @@ async def handle_task_create(params: CreateTaskParams):
7269
)
7370
await adk.state.create(task_id=params.task.id, agent_id=params.agent.id, state=state)
7471

72+
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@acp.on_task_event_send
7674
async def handle_event_send(params: SendEventParams):
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# !!! Warning: Because "Agentic" ACPs are designed to be fully asynchronous, race conditions can occur if parallel events are sent. It is highly recommended to use the "temporal" type in the AgenticACPConfig instead to handle complex use cases. The "base" ACP is only designed to be used for simple use cases and for learning purposes.
@@ -85,7 +83,6 @@ async def handle_event_send(params: SendEventParams):
8583
if params.event.content.author != "user":
8684
raise ValueError(f"Expected user message, got {params.event.content.author}")
8785

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# Retrieve the task state. Each event is handled as a new turn, so we need to get the state for the current turn.
9087
task_state = await adk.state.get_by_task_and_agent(task_id=params.task.id, agent_id=params.agent.id)
9188
if not task_state:
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9491
state.turn_number += 1
9592
# Add the new user message to the message history
9693
state.input_list.append({"role": "user", "content": params.event.content.content})
97-
98-
async with adk.tracing.span(
99-
trace_id=params.task.id,
100-
name=f"Turn {state.turn_number}",
101-
input=state
102-
) as span:
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95+
async with adk.tracing.span(trace_id=params.task.id, name=f"Turn {state.turn_number}", input=state) as span:
10396
# Echo back the user's message so it shows up in the UI. This is not done by default so the agent developer has full control over what is shown to the user.
10497
await adk.messages.create(
10598
task_id=params.task.id,
@@ -156,6 +149,7 @@ async def handle_event_send(params: SendEventParams):
156149
if span:
157150
span.output = state
158151

152+
159153
@acp.on_task_cancel
160154
async def handle_task_cancel(params: CancelTaskParams):
161155
"""Default task cancel handler"""
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173167
servers = []
174168
for params in mcp_server_params:
175169
server = MCPServerStdio(
176-
name=f"Server: {params.command}",
177-
params=params.model_dump(),
170+
name=f"Server: {params.command}",
171+
params=params.model_dump(),
178172
cache_tools_list=True,
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client_session_timeout_seconds=60,
180174
)
@@ -253,7 +247,6 @@ async def run_openai_agent_with_custom_streaming(
253247
try:
254248
# Process streaming events with TaskMessage creation
255249
async for event in result.stream_events():
256-
257250
if event.type == "run_item_stream_event":
258251
if event.item.type == "tool_call_item":
259252
tool_call_item = event.item.raw_item
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374367
if span:
375368
span.output = {
376369
"new_items": [
377-
item.raw_item.model_dump()
378-
if isinstance(item.raw_item, BaseModel)
379-
else item.raw_item
370+
item.raw_item.model_dump() if isinstance(item.raw_item, BaseModel) else item.raw_item
380371
for item in result.new_items
381372
],
382373
"final_output": result.final_output,

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