Use free Telegram reactions for AI status (🤔/👍/👎)

Replace premium-only ⏳/✅/❌ with reactions available to all users:
🤔 while processing, 👍 on success, 👎 on error.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.env.example

@@ -2,4 +2,4 @@ TG_API_ID=123456
 TG_API_HASH=your_api_hash_here
 SESSION_DIR=sessions
 ACCOUNTS_JSON=[{"name":"personal","session":"personal"},{"name":"work","session":"work"}]
-# AI_CONFIG={"default_model":"mm","context_messages":12,"prompt":{"root":"prompts/ai","system_file":"system.md","parts_dir":"parts"},"image_understand":{"api_key":"your_minimax_token_plan_key_here","api_host":"https://api.minimax.chat","command":["uvx","minimax-coding-plan-mcp","-y"]},"providers":{"minimax":{"api_key":"your_minimax_api_key_here","base_url":"https://api.minimax.chat/v1"},"openrouter":{"api_key":"your_openrouter_api_key_here","base_url":"https://openrouter.ai/api/v1"}},"models":{"mm":{"provider":"minimax","model":"MiniMax-Text-01"},"or":{"provider":"openrouter","model":"openai/gpt-4o-mini"}}}
+# AI_CONFIG={"default_model":"mm","context_messages":12,"prompt":{"root":"prompts/ai","system_file":"system.md","parts_dir":"parts"},"image_understand":{"api_key":"your_minimax_token_plan_key_here","api_host":"https://api.minimax.chat","command":["uvx","minimax-coding-plan-mcp","-y"]},"providers":{"minimax":{"api_key":"your_minimax_api_key_here","base_url":"https://api.minimax.io/v1"},"openrouter":{"api_key":"your_openrouter_api_key_here","base_url":"https://openrouter.ai/api/v1"}},"models":{"mm":{"provider":"minimax","model":"MiniMax-Text-01"},"or":{"provider":"openrouter","model":"openai/gpt-4o-mini"}}}

app/ai/service.py

@@ -7,6 +7,7 @@ from pathlib import Path
 import tempfile
 from typing import TYPE_CHECKING, Any, Awaitable, Callable
 
+import httpx
 from openai import AsyncOpenAI
 
 from app.ai.image_understand import (
@@ -28,6 +29,15 @@ log = logging.getLogger(__name__)
 ProgressCallback = Callable[[str], Awaitable[None] | None]
 
 
+async def _sanitize_response_encoding(response: httpx.Response) -> None:
+    await response.aread()
+    raw = response.content
+    try:
+        raw.decode("utf-8")
+    except UnicodeDecodeError:
+        response._content = raw.decode("utf-8", errors="replace").encode("utf-8")
+
+
 @dataclass(slots=True)
 class AIResponse:
     text: str
@@ -103,6 +113,9 @@ class AIService:
                 api_key=provider.api_key,
                 base_url=provider.base_url,
                 timeout=provider.timeout,
+                http_client=httpx.AsyncClient(
+                    event_hooks={"response": [_sanitize_response_encoding]},
+                ),
             )
             self._clients[provider.name] = client
         return client

app/commands/builtins.py

@@ -309,26 +309,14 @@ async def ai(ctx: "CommandContext") -> None:
         await ctx.reply(str(exc))
         return
 
-    status = await ctx.reply(
-        "\n".join(
-            [
-                "⏳ AI request started",
-                f"model: {selected_alias}",
-                f"context: {invocation.context_messages} message(s)",
-                "tools: understand_image"
-                if invocation.use_image_understanding
-                else "tools: none",
-                f"prompt: {invocation.prompt[:200]}{'...' if len(invocation.prompt) > 200 else ''}",
-            ]
-        )
-    )
-
-    async def _progress(text: str) -> None:
+    async def _react(emoji: str | None) -> None:
         try:
-            await status.edit_text(text)
+            await ctx.client.send_reaction(ctx.message.chat.id, ctx.message.id, emoji=emoji)
         except Exception:
             pass
 
+    await _react("🤔")
+
     try:
         response = await ai_service.generate(
             ctx,
@@ -338,16 +326,11 @@ async def ai(ctx: "CommandContext") -> None:
                 use_image_understanding=invocation.use_image_understanding,
                 prompt=invocation.prompt,
             ),
-            progress=_progress,
         )
     except (RuntimeError, ValueError) as exc:
-        await _progress(f"❌ {exc}")
+        await _react("👎")
+        await ctx.reply(str(exc))
         return
 
-    final_text = f"✅\n{response.text}"
-    if len(final_text) <= 3900:
-        await _progress(final_text)
-        return
-
-    await _progress("✅ Response ready")
+    await _react("👍")
     await _reply_long(ctx, response.text)