langchain/docs/versioned_docs/version-0.2.x/integrations/toolkits/jira.ipynb

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    "# Jira\n",
    "\n",
    "This notebook goes over how to use the `Jira` toolkit.\n",
    "\n",
    "The `Jira` toolkit allows agents to interact with a given Jira instance, performing actions such as searching for issues and creating issues, the tool wraps the atlassian-python-api library, for more see: https://atlassian-python-api.readthedocs.io/jira.html\n",
    "\n",
    "To use this tool, you must first set as environment variables:\n",
    "    JIRA_API_TOKEN\n",
    "    JIRA_USERNAME\n",
    "    JIRA_INSTANCE_URL"
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [],
   "source": [
    "%pip install --upgrade --quiet  atlassian-python-api"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "34bb5968",
   "metadata": {
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   "source": [
    "import os\n",
    "\n",
    "from langchain.agents import AgentType, initialize_agent\n",
    "from langchain_community.agent_toolkits.jira.toolkit import JiraToolkit\n",
    "from langchain_community.utilities.jira import JiraAPIWrapper\n",
    "from langchain_openai import OpenAI"
   ]
  },
  {
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   "execution_count": 4,
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   "source": [
    "os.environ[\"JIRA_API_TOKEN\"] = \"abc\"\n",
    "os.environ[\"JIRA_USERNAME\"] = \"123\"\n",
    "os.environ[\"JIRA_INSTANCE_URL\"] = \"https://jira.atlassian.com\"\n",
    "os.environ[\"OPENAI_API_KEY\"] = \"xyz\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ac4910f8",
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   "outputs": [],
   "source": [
    "llm = OpenAI(temperature=0)\n",
    "jira = JiraAPIWrapper()\n",
    "toolkit = JiraToolkit.from_jira_api_wrapper(jira)\n",
    "agent = initialize_agent(\n",
    "    toolkit.get_tools(), llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
    ")"
   ]
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   "cell_type": "code",
   "execution_count": 9,
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     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3m I need to create an issue in project PW\n",
      "Action: Create Issue\n",
      "Action Input: {\"summary\": \"Make more fried rice\", \"description\": \"Reminder to make more fried rice\", \"issuetype\": {\"name\": \"Task\"}, \"priority\": {\"name\": \"Low\"}, \"project\": {\"key\": \"PW\"}}\u001b[0m\n",
      "Observation: \u001b[38;5;200m\u001b[1;3mNone\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
      "Final Answer: A new issue has been created in project PW with the summary \"Make more fried rice\" and description \"Reminder to make more fried rice\".\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n"
     ]
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       "'A new issue has been created in project PW with the summary \"Make more fried rice\" and description \"Reminder to make more fried rice\".'"
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     "execution_count": 9,
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   ],
   "source": [
    "agent.run(\"make a new issue in project PW to remind me to make more fried rice\")"
   ]
  }
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