# Backwards-compatible refactoring of the Slack toolkit Several performance improvements, streamlined tool set, and easier to understand tool interfaces. All "old" tools were kept for backwards compatibility, with the same interfaces and response structure (but using the new and more performant tools under the hood). Full revision of unit-tests and evals. ## Streamlined tool set Multiple groups of tools were streamlined into a single one: * "get conversation metadata" from 5 tools to one; * "send message" from 2 tools to one; * "get users in conversation" from 3 tools to one; * "get messages" from 4 tools to one ## New capabilities * Messages retrieved are now populated with the users' names, apart from ID: makes it easier for LLMs to reference who sent a message, were mentioned, or reacted to a message * Retrieve users by username, email, and/or ID (before we only supported ID) * Retrieve multiple users in a single tool call ## Concurrency controls All operations issuing multiple requests concurrently now have a `Semaphore` to limit the concurrency level. The limit can be controlled through the `SLACK_MAX_CONCURRENT_REQUESTS` env var (defaults to 3). ## Networking performance improvement Various operations that used to make multiple API calls are now executed more efficiently: ### Find users by username * Before: a full scan of `users_list` was required (potentially multiple pages for large workspaces); * Now it stops as soon as we have all users needed (yes, it was dumb before) ### Get multiple users by their IDs * Before: for each user ID, we made one API call to the `users_info` endpoint * Now: we call `list_users` and scan the results to match the user IDs (an estimate of 99.5% of Slack workspaces have < 200 users; for large workspaces, we may need to paginate `list_users`) ### Get a conversation by its users * Before: * Call to `list_conversations` (potentially paginating) * For each conversation, one call to `conversations_members` (potentially paginating) * Then loop and find which conversation matches the users' IDs * Now: * A single call to `conversations_open`
165 lines
5.9 KiB
Python
165 lines
5.9 KiB
Python
from datetime import timedelta
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from arcade_evals import (
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BinaryCritic,
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DatetimeCritic,
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EvalRubric,
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EvalSuite,
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ExpectedToolCall,
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tool_eval,
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)
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from arcade_tdk import ToolCatalog
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import arcade_slack
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from arcade_slack.critics import RelativeTimeBinaryCritic
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from arcade_slack.tools.chat import get_messages
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# Evaluation rubric
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rubric = EvalRubric(
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fail_threshold=0.8,
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warn_threshold=0.9,
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)
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catalog = ToolCatalog()
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# Register the Slack tools
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catalog.add_module(arcade_slack)
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@tool_eval()
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def get_messages_in_multi_person_direct_message_eval_suite() -> EvalSuite:
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"""Create an evaluation suite for tools getting messages in multi-person direct messages."""
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suite = EvalSuite(
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name="Slack Chat Tools Evaluation",
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system_message="You are an AI assistant that can interact with Slack to send messages and get information from conversations, users, etc.",
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catalog=catalog,
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rubric=rubric,
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)
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no_arguments_user_messages_by_username = [
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(
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"what are the latest messages I exchanged in the MPIM "
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"with the usernames john, ryan, and jennifer"
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),
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("show the messages in the MPIM with the usernames john, ryan, and jennifer on Slack"),
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("list the messages I exchanged in the MPIM with the usernames john, ryan, and jennifer"),
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("list the message history in the MPIM with the usernames john, ryan, and jennifer"),
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]
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for i, user_message in enumerate(no_arguments_user_messages_by_username):
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suite.add_case(
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name=f"{user_message} [{i}]",
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user_message=user_message,
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expected_tool_calls=[
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ExpectedToolCall(
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func=get_messages,
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args={
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"conversation_id": None,
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"channel_name": None,
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"user_ids": None,
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"usernames": ["john", "ryan", "jennifer"],
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"emails": None,
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},
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),
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],
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critics=[
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BinaryCritic(critic_field="conversation_id", weight=0.1),
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BinaryCritic(critic_field="channel_name", weight=0.1),
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BinaryCritic(critic_field="user_ids", weight=0.1),
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BinaryCritic(critic_field="usernames", weight=0.6),
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BinaryCritic(critic_field="emails", weight=0.1),
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],
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)
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suite.add_case(
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name="get messages in multi person direct conversation with mixed usernames and emails",
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user_message=(
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"get the messages I exchanged in the mpim with "
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"the usernames john, ryan, and jennifer@acme.com"
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),
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expected_tool_calls=[
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ExpectedToolCall(
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func=get_messages,
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args={
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"conversation_id": None,
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"channel_name": None,
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"user_ids": None,
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"usernames": ["john", "ryan"],
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"emails": ["jennifer@acme.com"],
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},
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),
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],
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critics=[
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BinaryCritic(critic_field="conversation_id", weight=0.1),
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BinaryCritic(critic_field="channel_name", weight=0.1),
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BinaryCritic(critic_field="user_ids", weight=0.1),
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BinaryCritic(critic_field="usernames", weight=0.35),
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BinaryCritic(critic_field="emails", weight=0.35),
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],
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)
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suite.add_case(
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name="get messages in direct conversation by username (on a specific date)",
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user_message=(
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"get the messages I exchanged in the mpim with "
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"the usernames john, ryan, and jennifer on 2025-01-31"
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),
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expected_tool_calls=[
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ExpectedToolCall(
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func=get_messages,
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args={
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"conversation_id": None,
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"channel_name": None,
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"user_ids": None,
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"usernames": ["john", "ryan", "jennifer"],
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"emails": None,
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"oldest_datetime": "2025-01-31 00:00:00",
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"latest_datetime": "2025-01-31 23:59:59",
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},
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),
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],
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critics=[
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BinaryCritic(critic_field="conversation_id", weight=0.1),
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BinaryCritic(critic_field="channel_name", weight=0.1),
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BinaryCritic(critic_field="user_ids", weight=0.1),
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BinaryCritic(critic_field="usernames", weight=0.2),
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BinaryCritic(critic_field="emails", weight=0.1),
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DatetimeCritic(
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critic_field="oldest_datetime", weight=0.2, max_difference=timedelta(minutes=2)
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),
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DatetimeCritic(
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critic_field="latest_datetime", weight=0.2, max_difference=timedelta(minutes=2)
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),
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],
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)
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suite.add_case(
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name="Get conversation history oldest relative by username (2 days ago)",
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user_message=(
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"Get the messages I exchanged in the MPIM with "
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"the usernames john, ryan, and jennifer starting 2 days ago"
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),
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expected_tool_calls=[
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ExpectedToolCall(
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func=get_messages,
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args={
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"conversation_id": None,
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"channel_name": None,
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"user_ids": None,
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"usernames": ["john", "ryan", "jennifer"],
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"emails": None,
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"oldest_relative": "02:00:00",
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},
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),
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],
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critics=[
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BinaryCritic(critic_field="conversation_id", weight=0.1),
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BinaryCritic(critic_field="channel_name", weight=0.1),
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BinaryCritic(critic_field="user_ids", weight=0.1),
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BinaryCritic(critic_field="usernames", weight=0.3),
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BinaryCritic(critic_field="emails", weight=0.1),
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RelativeTimeBinaryCritic(critic_field="oldest_relative", weight=0.3),
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],
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)
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return suite
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