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Josh Soref
aa1233608a
Merge https://github.com/google/adk-python/pull/2447 This PR corrects misspellings identified by the [check-spelling action](https://github.com/marketplace/actions/check-spelling) The misspellings have been reported at https://github.com/jsoref/adk-python/actions/runs/16840838898/attempts/1#summary-47711379253 The action reports that the changes in this PR would make it happy: https://github.com/jsoref/adk-python/actions/runs/16840839269/attempts/1#summary-47711380479 Note: while I use tooling to identify errors, the tooling doesn't _actually_ provide the corrections, I'm picking them on my own. I'm a human, and I may make mistakes. I've included a couple of changes to make CI happy. Personally, I object to CI being in a state of "random drive by person who adds a blank line in the middle of a file must fix all the preexisting bugs in the file", but that appears to be the state for this repository. COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2447 from jsoref:spelling d85398e7fd154d124d477c6af6181481a01f34e0 PiperOrigin-RevId: 827629615
50 lines
2.2 KiB
Python
50 lines
2.2 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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"""Sample agent using Application Integration toolset."""
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import os
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from dotenv import load_dotenv
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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.tools.application_integration_tool import ApplicationIntegrationToolset
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# Load environment variables from .env file
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load_dotenv()
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connection_name = os.getenv("CONNECTION_NAME")
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connection_project = os.getenv("CONNECTION_PROJECT")
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connection_location = os.getenv("CONNECTION_LOCATION")
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jira_toolset = ApplicationIntegrationToolset(
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project=connection_project,
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location=connection_location,
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connection=connection_name,
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entity_operations={"Issues": [], "Projects": []},
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tool_name_prefix="jira_issue_manager",
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)
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root_agent = LlmAgent(
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model="gemini-2.0-flash",
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name="Issue_Management_Agent",
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instruction="""
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You are an agent that helps manage issues in a Jira instance.
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Be accurate in your responses based on the tool response. You can perform any formatting in the response that is appropriate or if asked by the user.
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If there is an error in the tool response, understand the error and try and see if you can fix the error and then and execute the tool again. For example if a variable or parameter is missing, try and see if you can find it in the request or user query or default it and then execute the tool again or check for other tools that could give you the details.
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If there are any math operations like count or max, min in the user request, call the tool to get the data and perform the math operations and then return the result in the response. For example for maximum, fetch the list and then do the math operation.
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""",
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tools=[jira_toolset],
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)
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