From d063519c046468515e1030a1dd57269dec735501 Mon Sep 17 00:00:00 2001
From: ducoterra <git@ducoterra.net>
Date: Tue, 10 Mar 2026 12:48:33 -0400
Subject: [PATCH] bots can talk to each other

---
 vibe_bot/llama_wrapper.py | 35 ++++++++++++++
 vibe_bot/main.py          | 97 +++++++++++++++++++++++++++++++++++++++
 2 files changed, 132 insertions(+)

diff --git a/vibe_bot/llama_wrapper.py b/vibe_bot/llama_wrapper.py
index af85cd4..150a892 100644
--- a/vibe_bot/llama_wrapper.py
+++ b/vibe_bot/llama_wrapper.py
@@ -44,6 +44,41 @@ def chat_completion(
         return ""
 
 
+def chat_completion_with_history(
+    system_prompt: str,
+    prompts: Iterable[ChatCompletionMessageParam],
+    openai_url: str,
+    openai_api_key: str,
+    model: str,
+    max_tokens: int = 1000,
+) -> str:
+    client = openai.OpenAI(base_url=openai_url, api_key=openai_api_key)
+    messages: Iterable[ChatCompletionMessageParam] = [
+        {
+            "role": "system",
+            "content": system_prompt,
+        }
+    ] + prompts  # type: ignore
+    response = client.chat.completions.create(
+        model=model,
+        messages=messages,
+        max_tokens=max_tokens,
+        extra_body={
+            "chat_template_kwargs": {"enable_thinking": False},
+        },
+    )
+
+    # Assert that thinking was used
+    if response.choices[0].message.model_extra:
+        assert response.choices[0].message.model_extra.get("reasoning_content")
+
+    content = response.choices[0].message.content
+    if content:
+        return content.strip()
+    else:
+        return ""
+
+
 def chat_completion_instruct(
     system_prompt: str,
     user_prompt: str,
diff --git a/vibe_bot/main.py b/vibe_bot/main.py
index 2a4c9c9..c74478e 100644
--- a/vibe_bot/main.py
+++ b/vibe_bot/main.py
@@ -297,6 +297,103 @@ async def retcon(ctx, *, message: str):
     await ctx.send(file=send_img)
 
 
+@bot.command(name="talkforme")
+async def talkforme(ctx, *, message: str):
+    """Have two bots talk to each other about a topic
+
+    Usage: !talkforme bot1 bot2 4 some conversation topic
+    """
+
+    bot1_name, bot2_name, limit, topic_list = (
+        message.split(" ")[0],
+        message.split(" ")[1],
+        message.split(" ")[2],
+        message.split(" ")[3:],
+    )
+
+    topic = " ".join(topic_list)
+
+    custom_bot_manager = CustomBotManager()
+    bot1 = custom_bot_manager.get_custom_bot(bot1_name)
+
+    if not bot1:
+        await ctx.send(f"{bot1_name} is not a real bot...")
+        return
+    else:
+        _, bot1_prompt, _, _ = bot1
+
+    bot2 = custom_bot_manager.get_custom_bot(bot2_name)
+
+    if not bot2:
+        await ctx.send(f"{bot2_name} is not a real bot...")
+        return
+    else:
+        _, bot2_prompt, _, _ = bot2
+
+    await ctx.send(
+        f'{bot1_name} is going to talk to {bot2_name} about "{topic[:50]}" for {limit} replies.'
+    )
+
+    bot_list = [(bot1_name, bot1_prompt), (bot2_name, bot2_prompt)]
+
+    message_limit = int(limit)
+
+    def flip_counter(counter: int):
+        if counter == 0:
+            return 1
+        else:
+            return 0
+
+    def flip_user(user: str):
+        if user == "user":
+            return "assistant"
+        else:
+            return "user"
+
+    message_counter = 0
+    bot_counter = 0
+    current_user = "user"
+    current_bot = bot_list[bot_counter]
+    prompt_history = [{"role": current_user, "content": topic}]
+
+    first_bot_response = llama_wrapper.chat_completion_with_history(
+        system_prompt=current_bot[1] + "\nKeep your responses under 2-3 sentences.",
+        prompts=prompt_history,  # type: ignore
+        openai_url=CHAT_ENDPOINT,
+        openai_api_key=CHAT_ENDPOINT_KEY,
+        model=CHAT_MODEL,
+        max_tokens=MAX_COMPLETION_TOKENS,
+    )
+    await ctx.send(f"## {current_bot[0]}\n{first_bot_response}")
+    prompt_history.append({"role": current_user, "content": first_bot_response})
+
+    current_user = flip_user(current_user)
+    bot_counter = flip_counter(counter=bot_counter)
+
+    while message_counter < message_limit:
+        current_bot = bot_list[bot_counter]
+        logger.info(f"Current user is {current_user}")
+        logger.info(f"Current bot is {current_bot}")
+        bot_response = llama_wrapper.chat_completion_with_history(
+            system_prompt=current_bot[1] + "\nKeep your responses under 2-3 sentences.",
+            prompts=prompt_history,  # type: ignore
+            openai_url=CHAT_ENDPOINT,
+            openai_api_key=CHAT_ENDPOINT_KEY,
+            model=CHAT_MODEL,
+            max_tokens=MAX_COMPLETION_TOKENS,
+        )
+        message_counter += 1
+        await ctx.send(f"## {current_bot[0]}")
+        while bot_response:
+            send_chunk = bot_response[:1000]
+            bot_response = bot_response[1000:]
+            await ctx.send(send_chunk)
+        prompt_history.append({"role": current_user, "content": bot_response})
+        bot_counter = flip_counter(counter=bot_counter)
+        current_user = flip_user(current_user)
+        logger.info(f"Message counter is {message_counter}/{limit}")
+
+
 async def handle_chat(
     ctx, *, bot_name: str, message: str, system_prompt: str, response_prefix: str
 ):