feat(openai): sync eyes reaction and feedback blocks with pydantic-ai

Author: mwbrooks

.claude/CLAUDE.md

@@ -70,4 +70,4 @@ Each sub-package has a `register(app)` function called from `listeners/__init__.
 | Result output | `result.output` | `result.final_output` |
 | Result messages | `result.all_messages()` | `result.to_input_list()` |
 | History type | `list[ModelMessage]` (framework-native) | `list` (generic, manually constructed) |
-| Feedback blocks | Native `FeedbackButtonsElement` | Custom `ButtonElement` pair |
+| Feedback blocks | Native `FeedbackButtonsElement` | Native `FeedbackButtonsElement` |

openai-agents-sdk/.claude/CLAUDE.md

@@ -10,6 +10,6 @@ See the root `../.claude/CLAUDE.md` for monorepo-wide architecture, commands, an
 
 **Conversation history** is stored as a generic `list` and must be manually combined with new user input before passing to `Runner.run_sync()`: `input_items = history + [{"role": "user", "content": text}]`. After execution, `result.to_input_list()` is stored back.
 
-**Feedback blocks** use custom `ButtonElement` pairs inside an `ActionsBlock`, with separate `feedback_good` and `feedback_bad` action IDs. The `create_feedback_block(thread_ts)` function takes a timestamp to generate a unique `block_id`.
+**Feedback blocks** use the native `FeedbackButtonsElement` from `slack_sdk.models.blocks`. A single `feedback` action ID is registered.
 
 The `message_im` handler adds the `:eyes:` reaction on every message (including thread replies).

openai-agents-sdk/listeners/actions/__init__.py

@@ -8,5 +8,4 @@
 
 def register(app: App):
     app.action(re.compile(r"^category_"))(handle_category_button)
-    app.action("feedback_good")(handle_feedback)
-    app.action("feedback_bad")(handle_feedback)
+    app.action("feedback")(handle_feedback)

openai-agents-sdk/listeners/actions/feedback.py

@@ -14,7 +14,7 @@ def handle_feedback(ack: Ack, body: dict, client: WebClient, logger: Logger):
         message_ts = body["message"]["ts"]
         feedback_value = body["actions"][0]["value"]
 
-        if feedback_value == "good":
+        if feedback_value == "good-feedback":
             client.chat_postEphemeral(
                 channel=channel_id,
                 user=user_id,

openai-agents-sdk/listeners/events/app_mentioned.py

@@ -66,7 +66,7 @@ def handle_app_mentioned(client: WebClient, event: dict, logger: Logger, say: Sa
         result = Runner.run_sync(casey_agent, input=input_items, context=deps)
 
         # Post response in thread with feedback buttons
-        feedback_blocks = create_feedback_block(thread_ts)
+        feedback_blocks = create_feedback_block()
         response_blocks = [
             {
                 "type": "section",

openai-agents-sdk/listeners/events/message_im.py

@@ -37,12 +37,13 @@ def handle_message_im(client: WebClient, event: dict, logger: Logger, say: Say):
         thread_ts = event.get("thread_ts") or event["ts"]
         user_id = event["user"]
 
-        # Add eyes reaction
-        client.reactions_add(
-            channel=channel_id,
-            timestamp=event["ts"],
-            name="eyes",
-        )
+        # Add eyes reaction only to the first message (not threaded replies)
+        if not event.get("thread_ts"):
+            client.reactions_add(
+                channel=channel_id,
+                timestamp=event["ts"],
+                name="eyes",
+            )
 
         # Get conversation history
         history = conversation_store.get_history(channel_id, thread_ts)
@@ -63,7 +64,7 @@ def handle_message_im(client: WebClient, event: dict, logger: Logger, say: Say):
         result = Runner.run_sync(casey_agent, input=input_items, context=deps)
 
         # Post response in thread with feedback buttons
-        feedback_blocks = create_feedback_block(thread_ts)
+        feedback_blocks = create_feedback_block()
         response_blocks = [
             {
                 "type": "section",

openai-agents-sdk/listeners/views/feedback_block.py

@@ -1,28 +1,29 @@
 from slack_sdk.models.blocks import (
-    ActionsBlock,
-    ButtonElement,
+    Block,
+    ContextActionsBlock,
+    FeedbackButtonObject,
+    FeedbackButtonsElement,
 )
 
 
-def create_feedback_block(message_ts: str = "") -> list[dict]:
-    """Create feedback block with thumbs up/down buttons.
-
-    Args:
-        message_ts: Optional timestamp to identify which message feedback is for.
-    """
-    block = ActionsBlock(
-        block_id=f"feedback_{message_ts}" if message_ts else "feedback",
-        elements=[
-            ButtonElement(
-                text=":thumbsup:",
-                action_id="feedback_good",
-                value="good",
-            ),
-            ButtonElement(
-                text=":thumbsdown:",
-                action_id="feedback_bad",
-                value="bad",
-            ),
-        ],
-    )
-    return [block.to_dict()]
+def create_feedback_block() -> list[Block]:
+    """Create feedback block with thumbs up/down buttons."""
+    return [
+        ContextActionsBlock(
+            elements=[
+                FeedbackButtonsElement(
+                    action_id="feedback",
+                    positive_button=FeedbackButtonObject(
+                        text="Good Response",
+                        accessibility_label="Submit positive feedback on this response",
+                        value="good-feedback",
+                    ),
+                    negative_button=FeedbackButtonObject(
+                        text="Bad Response",
+                        accessibility_label="Submit negative feedback on this response",
+                        value="bad-feedback",
+                    ),
+                )
+            ]
+        )
+    ]

openai-agents-sdk/listeners/views/issue_modal.py

@@ -50,7 +50,7 @@ def handle_issue_submission(ack: Ack, body: dict, client: WebClient, logger: Log
         result = Runner.run_sync(casey_agent, input=user_message, context=deps)
 
         # Post the response in thread with feedback buttons
-        feedback_blocks = create_feedback_block(thread_ts)
+        feedback_blocks = create_feedback_block()
         response_blocks = [
             {
                 "type": "section",