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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

40 lines
1.3 KiB
Python

# 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 __future__ import annotations
from google.adk.agents.llm_agent import LlmAgent
from google.adk.agents.sequential_agent import SequentialAgent
from google.adk.models.lite_llm import LiteLlm
ollama_model = LiteLlm(model="ollama_chat/qwen2.5:7b")
hello_agent = LlmAgent(
name="hello_step",
instruction="Say hello to the user. Be concise.",
model=ollama_model,
)
summarize_agent = LlmAgent(
name="summarize_step",
instruction="Summarize the previous assistant message in 5 words.",
model=ollama_model,
)
root_agent = SequentialAgent(
name="ollama_seq_test",
description="Two-step sanity check for Ollama LiteLLM chat.",
sub_agents=[hello_agent, summarize_agent],
)