feat: include status loading messages and more feedback blocks (#45)

Author: zimeg

README.md

@@ -16,7 +16,7 @@ Join the [Slack Developer Program](https://api.slack.com/developer-program) for
 
 Add this app to your workspace using either the Slack CLI or other development tooling, then read ahead to configuring LLM responses in the **[Providers](#providers)** section.
 
-### Using Slack CLI
+<details><summary><strong>Using Slack CLI</strong></summary>
 
 Install the latest version of the Slack CLI for your operating system:
 
@@ -46,7 +46,11 @@ slack install
 
 After the Slack app has been created you're all set to configure the LLM provider!
 
-### Using Terminal
+</details>
+
+<details><summary><strong>Using Terminal</strong></summary>
+
+#### Create Your Slack App
 
 1. Open [https://api.slack.com/apps/new](https://api.slack.com/apps/new) and choose "From an app manifest"
 2. Choose the workspace you want to install the application to
@@ -91,6 +95,8 @@ source .venv/bin/activate  # for Windows OS, .\.venv\Scripts\Activate instead sh
 pip install -r requirements.txt
 ```
 
+</details>
+
 ## Providers
 
 ### OpenAI Setup

agent/tools/dice.py

@@ -1,5 +1,4 @@
 import random
-import time
 
 from openai.types.responses import FunctionToolParam
 
@@ -23,9 +22,6 @@ def roll_dice(sides: int = 6, count: int = 1) -> dict:
     rolls = [random.randint(1, sides) for _ in range(count)]
     total = sum(rolls)
 
-    # Add a pause between rolls to demonstrate loading states
-    time.sleep(2)
-
     return {
         "rolls": rolls,
         "total": total,

listeners/assistant/assistant_thread_started.py

@@ -26,7 +26,7 @@ def assistant_thread_started(
                 },
                 {
                     "title": "Roll dice for a random number",
-                    "message": "Roll two 12-sided dice and three 6-sided dice for a psuedo-random score.",
+                    "message": "Roll two 12-sided dice and three 6-sided dice for a pseudo-random score.",
                 },
             ]
         )

listeners/assistant/message.py

@@ -40,9 +40,22 @@ def message(
         thread_ts = payload["thread_ts"]
         user_id = context.user_id
 
-        # The first example shows detailed thinking steps similar to tool calls
-        # displayed as plan.
+        # The first example shows a message with thinking steps that has different
+        # chunks to construct and update a plan alongside text outputs.
         if message["text"] == "Wonder a few deep thoughts.":
+            set_status(
+                status="thinking...",
+                loading_messages=[
+                    "Teaching the hamsters to type faster…",
+                    "Untangling the internet cables…",
+                    "Consulting the office goldfish…",
+                    "Polishing up the response just for you…",
+                    "Convincing the AI to stop overthinking…",
+                ],
+            )
+
+            time.sleep(4)
+
             streamer = client.chat_stream(
                 channel=channel_id,
                 recipient_team_id=team_id,
@@ -89,12 +102,12 @@ def message(
                         id="002",
                         title="Performing acrobatics...",
                         status="in_progress",
-                        details="- Jumping atop ropes\n- Juggling bowling pins\n- Riding a single wheel too",
                     ),
                 ],
             )
             time.sleep(4)
 
+            feedback_block = create_feedback_block()
             streamer.stop(
                 chunks=[
                     PlanUpdateChunk(
@@ -104,11 +117,13 @@ def message(
                         id="002",
                         title="Performing acrobatics...",
                         status="complete",
+                        details="- Jumped atop ropes\n- Juggled bowling pins\n- Rode a single wheel too",
                     ),
                     MarkdownTextChunk(
                         text="The crowd appears to be astounded and applauds :popcorn:"
                     ),
                 ],
+                blocks=feedback_block,
             )
 
         # This second example shows a generated text response for a provided prompt