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https://github.com/encounter/adk-python.git
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George WealeandCopybara-Service
055dfc7974
LiteLLM's `ollama_chat` provider does not accept array-based content in messages. This change flattens multipart content by joining text parts or JSON-serializing non-text parts before sending the request to the LiteLLM completion API. This ensures compatibility with Ollama's chat endpoint. Close #3727 Co-authored-by: George Weale <gweale@google.com> PiperOrigin-RevId: 843382361
40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.agents.sequential_agent import SequentialAgent
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from google.adk.models.lite_llm import LiteLlm
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ollama_model = LiteLlm(model="ollama_chat/qwen2.5:7b")
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hello_agent = LlmAgent(
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name="hello_step",
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instruction="Say hello to the user. Be concise.",
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model=ollama_model,
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)
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summarize_agent = LlmAgent(
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name="summarize_step",
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instruction="Summarize the previous assistant message in 5 words.",
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model=ollama_model,
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)
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root_agent = SequentialAgent(
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name="ollama_seq_test",
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description="Two-step sanity check for Ollama LiteLLM chat.",
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sub_agents=[hello_agent, summarize_agent],
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)
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