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Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com> Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com> Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: ZhangShenao <15201440436@163.com> Co-authored-by: Friso H. Kingma <fhkingma@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Morgante Pell <morgantep@google.com>
47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
"""
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This tool allows agents to interact with the atlassian-python-api library
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and operate on a Jira instance. For more information on the
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atlassian-python-api library, see https://atlassian-python-api.readthedocs.io/jira.html
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To use this tool, you must first set as environment variables:
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JIRA_API_TOKEN
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JIRA_USERNAME
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JIRA_INSTANCE_URL
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JIRA_CLOUD
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Below is a sample script that uses the Jira tool:
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```python
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from langchain_community.agent_toolkits.jira.toolkit import JiraToolkit
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from langchain_community.utilities.jira import JiraAPIWrapper
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jira = JiraAPIWrapper()
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toolkit = JiraToolkit.from_jira_api_wrapper(jira)
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```
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"""
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from typing import Optional
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.tools import BaseTool
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from pydantic import Field
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from langchain_community.utilities.jira import JiraAPIWrapper
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class JiraAction(BaseTool):
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"""Tool that queries the Atlassian Jira API."""
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api_wrapper: JiraAPIWrapper = Field(default_factory=JiraAPIWrapper) # type: ignore[arg-type]
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mode: str
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name: str = ""
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description: str = ""
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def _run(
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self,
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instructions: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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"""Use the Atlassian Jira API to run an operation."""
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return self.api_wrapper.run(self.mode, instructions)
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