fixed typos

Author: minh-hoque

examples/Context_summarization_with_realtime_api.ipynb

@@ -96,7 +96,7 @@
     "In practice you’ll often see **≈ 10 ×** more tokens for the *same* sentence in audio versus text.\n",
     "\n",
     "\n",
-    "* GPT-4o realtime accepts up to **128k tokens** and as the token size increases instruction adherence can drifts.\n",
+    "* GPT-4o realtime accepts up to **128k tokens** and as the token size increases, instruction adherence can drift.\n",
     "* Every user/assistant turn consumes tokens → the window **only grows**.\n",
     "* **Strategy**: Summarise older turns into a single assistant message, keep the last few verbatim turns, and continue.\n",
     "\n",
@@ -252,6 +252,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Helper function to encode audio chunks in base64\n",
     "b64 = lambda blob: base64.b64encode(blob).decode()\n",
     "\n",
     "async def queue_to_websocket(pcm_queue: asyncio.Queue[bytes], ws):\n",
@@ -278,26 +279,29 @@
     "* Playing incremental audio back to the user  \n",
     "* Keeping an accurate [`Conversation State`](https://platform.openai.com/docs/api-reference/realtime-server-events/conversation/created) so context trimming works later  \n",
     "\n",
-    "| Event type | Typical timing | What you should do with it |\n",
-    "|------------|----------------|----------------------------|\n",
-    "| **`session.created`** | Immediately after connection | Verify the handshake; stash the `session_id` if you need it for server logs. |\n",
-    "| **`conversation.item.created`** (user) | Right after the user stops talking | Place a *placeholder* `Turn` in `state.history`. Transcript may still be `null`. |\n",
-    "| **`conversation.item.retrieved`** | A few hundred ms later | Fill in any missing user transcript once STT completes. |\n",
-    "| **`response.audio.delta`** | Streaming chunks while the assistant speaks | Append bytes to a local buffer, play them (low‑latency) as they arrive. |\n",
-    "| **`response.done`** | After final assistant token | Add assistant text + usage stats, update `state.latest_tokens`. |\n",
-    "| **`conversation.item.deleted`** | Whenever you prune old turns | Remove superseded items from `conversation.item`. |\n"
+    "\n",
+    "| Event type | When it arrives | Why it matters | Typical handler logic |\n",
+    "|------------|-----------------|---------------|-----------------------|\n",
+    "| **`session.created`** | Immediately after the WebSocket handshake | Confirms the session is open and provides the `session.id`. | Log the ID for traceability and verify the connection. |\n",
+    "| **`session.updated`** | After you send a `session.update` call | Acknowledges that the server applied new session settings. | Inspect the echoed settings and update any local cache. |\n",
+    "| **`conversation.item.created`** (user) | A few ms after the user stops speaking (client VAD fires) | Reserves a timeline slot; transcript may still be **`null`**. | Insert a *placeholder* user turn in `state.history` marked “pending transcript”. |\n",
+    "| **`conversation.item.retrieved`** | ~100 – 300 ms later, once audio transcription is complete | Supplies the final user transcript (with timing). | Replace the placeholder with the transcript and print it if desired. |\n",
+    "| **`response.audio.delta`** | Every 20 – 60 ms while the assistant is speaking | Streams PCM‑16 audio chunks (and optional incremental text). | Buffer each chunk and play it; optionally show partial text in the console. |\n",
+    "| **`response.done`** | After the assistant’s last token | Signals both audio & text are complete; includes usage stats. | Finalize the assistant turn, update `state.latest_tokens`, and log usage. |\n",
+    "| **`conversation.item.deleted`** | Whenever you prune with `conversation.item.delete` | Confirms a turn was removed, freeing tokens on the server. | Mirror the deletion locally so your context window matches the server’s. |\n",
+    "\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### 3.3 Detect When to Summarise\n",
-    "The Realtime model keeps a **large 128 k‑token window**, but quality can drift long before that as you stuff more context into the model.\n",
+    "The Realtime model keeps a **large 128 k‑token window**, but quality can drift long before that limit as you stuff more context into the model.\n",
     "\n",
     "Our goal: **auto‑summarise** once the running window nears a safe threshold (default **2 000 tokens** for the notebook), then prune the superseded turns both locally *and* server‑side.\n",
     "\n",
-    "We monitor latest_tokens returned in response.done. When it exceeds SUMMARY_TRIGGER and we have more than KEEP_LAST_TURNS, we spin up a background summarisation coroutine.\n",
+    "We monitor latest_tokens returned in `response.done`. When it exceeds SUMMARY_TRIGGER and we have more than KEEP_LAST_TURNS, we spin up a background summarisation coroutine.\n",
     "\n",
     "We compress everything except the last 2 turns into a single French paragraph, then:\n",
     "\n",