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This commit is contained in:
wehub-resource-sync
2026-07-13 13:25:13 +08:00
commit ec2b666284
2231 changed files with 491535 additions and 0 deletions
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# Workflow Loop Config Sample
## Overview
This sample demonstrates how to define a workflow with a feedback loop using a YAML configuration file. It mirrors the `workflow_samples/loop` sample, but uses YAML to define the workflow structure instead of Python.
## Sample Inputs
- `Python programming`
- `Baking cookies`
## Graph
```mermaid
graph TD
START --> process_input[process_input]
process_input --> generate_headline[generate_headline.yaml]
generate_headline --> evaluate_headline[evaluate_headline.yaml]
evaluate_headline --> route_headline[route_headline]
route_headline -->|unrelated| generate_headline
```
## How To
This sample uses some special syntax in `root_agent.yaml` to support dynamic resolution and graph construction:
### 1. `_code` Suffix
Fields ending with `_code` (like `output_schema_code` in `evaluate_headline.yaml`) tell the ADK YAML mapper to resolve the value as a Python code reference rather than treating it as a plain string.
- If it starts with `.`, it resolves relative to the current agent directory's Python package path.
- Example: `output_schema_code: .agent.Feedback` resolves to the `Feedback` Pydantic model in `agent.py` in the same directory.
### 2. Function References in Edges
If a string in the edge list does not end with `.yaml` and is not `'START'`, it is treated as a function reference.
- If it starts with `.`, it resolves relative to the current agent directory's Python package path.
- Example: `.agent.process_input` resolves to the `process_input` function in `agent.py`.
- It automatically creates a `FunctionNode` with the function's name as the node name.
### 3. External Agent Files
Agents can be defined in their own YAML files and referenced by filename in the edges list.
- Example: `generate_headline.yaml` references the agent defined in that file.
- The mapper caches resolved nodes by their string value, so using the same filename in multiple edges correctly reuses the same agent instance, preserving the graph structure (e.g. for loops).
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Literal
from google.adk import Event
from pydantic import BaseModel
from pydantic import Field
class Feedback(BaseModel):
grade: Literal["tech-related", "unrelated"] = Field(
description=(
"Decide if the headline is related to technology or software"
" engineering."
)
)
feedback: str = Field(
description=(
"If the headline is unrelated to technology, provide feedback on how"
" to make it more tech-focused."
)
)
def process_input(node_input: str):
"""Puts user input in the state."""
return Event(state={"topic": node_input})
def route_headline(node_input: Feedback):
return Event(route=node_input.grade)
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
agent_class: LlmAgent
name: evaluate_headline
instruction: |
Grade whether the headline is related to technology or software engineering.
output_schema_code: .agent.Feedback
output_key: feedback
@@ -0,0 +1,20 @@
# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
agent_class: LlmAgent
name: generate_headline
instruction: |
Write a headline about the topic "{topic}".
If feedback is provided, take it into account.
The feedback: {feedback?}
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
agent_class: Workflow
name: loop_workflow
edges:
- - START
- .agent.process_input
- generate_headline.yaml
- evaluate_headline.yaml
- .agent.route_headline
- - .agent.route_headline
- unrelated: generate_headline.yaml