mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
168 lines
4.6 KiB
Plaintext
168 lines
4.6 KiB
Plaintext
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{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "245a954a",
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"metadata": {},
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"source": [
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"# Jira\n",
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"\n",
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"This notebook goes over how to use the Jira tool.\n",
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"The Jira tool 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",
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"\n",
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"To use this tool, you must first set as environment variables:\n",
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" JIRA_API_TOKEN\n",
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" JIRA_USERNAME\n",
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" JIRA_INSTANCE_URL"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "961b3689",
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"metadata": {
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"vscode": {
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"languageId": "shellscript"
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},
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"ExecuteTime": {
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"start_time": "2023-04-17T10:21:18.698672Z",
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"end_time": "2023-04-17T10:21:20.168639Z"
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}
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},
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"outputs": [],
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"source": [
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"%pip install atlassian-python-api"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "34bb5968",
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"metadata": {
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"ExecuteTime": {
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"start_time": "2023-04-17T10:21:22.911233Z",
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"end_time": "2023-04-17T10:21:23.730922Z"
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}
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},
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"outputs": [],
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"source": [
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"import os\n",
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"from langchain.agents import AgentType\n",
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"from langchain.agents import initialize_agent\n",
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"from langchain.agents.agent_toolkits.jira.toolkit import JiraToolkit\n",
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"from langchain.llms import OpenAI\n",
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"from langchain.utilities.jira import JiraAPIWrapper"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"outputs": [],
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"source": [
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"os.environ[\"JIRA_API_TOKEN\"] = \"abc\"\n",
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"os.environ[\"JIRA_USERNAME\"] = \"123\"\n",
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"os.environ[\"JIRA_INSTANCE_URL\"] = \"https://jira.atlassian.com\"\n",
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"os.environ[\"OPENAI_API_KEY\"] = \"xyz\""
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"start_time": "2023-04-17T10:22:42.499447Z",
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"end_time": "2023-04-17T10:22:42.505412Z"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "ac4910f8",
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"metadata": {
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"ExecuteTime": {
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"start_time": "2023-04-17T10:22:44.664481Z",
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"end_time": "2023-04-17T10:22:44.720538Z"
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}
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},
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"outputs": [],
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"source": [
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"llm = OpenAI(temperature=0)\n",
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"jira = JiraAPIWrapper()\n",
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"toolkit = JiraToolkit.from_jira_api_wrapper(jira)\n",
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"agent = initialize_agent(\n",
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" toolkit.get_tools(),\n",
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" llm,\n",
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" agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,\n",
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" verbose=True\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001B[1m> Entering new AgentExecutor chain...\u001B[0m\n",
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"\u001B[32;1m\u001B[1;3m I need to create an issue in project PW\n",
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"Action: Create Issue\n",
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"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",
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"Observation: \u001B[38;5;200m\u001B[1;3mNone\u001B[0m\n",
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"Thought:\u001B[32;1m\u001B[1;3m I now know the final answer\n",
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"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",
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"\n",
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"\u001B[1m> Finished chain.\u001B[0m\n"
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]
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},
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{
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"data": {
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"text/plain": "'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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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"agent.run(\"make a new issue in project PW to remind me to make more fried rice\")"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"start_time": "2023-04-17T10:23:33.662454Z",
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"end_time": "2023-04-17T10:23:38.121883Z"
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}
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}
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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},
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"vscode": {
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"interpreter": {
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"hash": "53f3bc57609c7a84333bb558594977aa5b4026b1d6070b93987956689e367341"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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