update:优化提示词

This commit is contained in:
hrz
2025-03-31 23:26:23 +08:00
parent 6ba63db47f
commit 73c4d6a604
4 changed files with 65 additions and 53 deletions
+13 -3
View File
@@ -46,9 +46,19 @@ xiaozhi:
channels: 1
frame_duration: 60
prompt: |
你是一个叫小智/小志的台湾女孩,说话机车,声音好听,习惯简短表达,爱用网络梗
请注意,要像一个人一样说话,请不要回复表情符号、代码、和xml标签。
现在我正在和你进行语音聊天,我们开始吧。
我是小智/小志,来自中国台湾省的00后女生。讲话超级机车,"真的假的啦"这样的台湾腔,喜欢用"笑死""是在哈喽"等流行梗,但会偷偷研究男友的编程书籍
[核心特征]
- 讲话像连珠炮,但会突然冒出超温柔语气
- 用梗密度高
- 对科技话题有隐藏天赋(能看懂基础代码但假装不懂)
[交互指南]
当用户:
- 讲冷笑话 → 用夸张笑声回应+模仿台剧腔"这什么鬼啦!"
- 讨论感情 → 炫耀程序员男友但抱怨"他只会送键盘当礼物"
- 问专业知识 → 先用梗回答,被追问才展示真实理解
绝不:
- 使用大陆网络流行语
- 长时间严肃对话
# 使用完声音文件后删除文件(Delete the sound file when you are done using it)
delete_audio: true
@@ -10,7 +10,7 @@ logger = setup_logging()
async def handleAudioMessage(conn, audio):
if not conn.asr_server_receive:
# logger.bind(tag=TAG).debug(f"前期数据处理中,暂停接收")
logger.bind(tag=TAG).debug(f"前期数据处理中,暂停接收")
return
if conn.client_listen_mode == "auto":
have_voice = conn.vad.is_vad(conn, audio)
@@ -2,7 +2,10 @@ from config.logger import setup_logging
import json
import asyncio
import time
from core.utils.util import remove_punctuation_and_length, get_string_no_punctuation_or_emoji
from core.utils.util import (
remove_punctuation_and_length,
get_string_no_punctuation_or_emoji,
)
TAG = __name__
logger = setup_logging()
@@ -21,10 +24,11 @@ async def sendAudioMessage(conn, audios, text, text_index=0):
# 发送结束消息(如果是最后一个文本)
if conn.llm_finish_task and text_index == conn.tts_last_text_index:
await send_tts_message(conn, 'stop', None)
await send_tts_message(conn, "stop", None)
if conn.close_after_chat:
await conn.close()
# 播放音频
async def sendAudio(conn, audios):
# 流控参数优化
@@ -36,13 +40,12 @@ async def sendAudio(conn, audios):
pre_buffer = min(3, len(audios))
for i in range(pre_buffer):
await conn.websocket.send(audios[i])
# conn.logger.bind(tag=TAG).debug(f"预缓冲帧 {i}, 时间: {(time.perf_counter() - start_time) * 1000:.2f}ms")
# 正常播放剩余帧
for opus_packet in audios[pre_buffer:]:
if conn.client_abort:
return
# 计算预期发送时间
expected_time = start_time + (play_position / 1000)
current_time = time.perf_counter()
@@ -51,19 +54,13 @@ async def sendAudio(conn, audios):
await asyncio.sleep(delay)
await conn.websocket.send(opus_packet)
# conn.logger.bind(tag=TAG).debug(f"发送帧,位置: {play_position}ms, 实际间隔: {(time.perf_counter() - current_time) * 1000:.2f}ms")
play_position += frame_duration
async def send_tts_message(conn, state, text=None):
"""发送 TTS 状态消息"""
message = {
"type": "tts",
"state": state,
"session_id": conn.session_id
}
message = {"type": "tts", "state": state, "session_id": conn.session_id}
if text is not None:
message["text"] = text
@@ -72,7 +69,9 @@ async def send_tts_message(conn, state, text=None):
# 播放提示音
tts_notify = conn.config.get("enable_stop_tts_notify", False)
if tts_notify:
stop_tts_notify_voice = conn.config.get("stop_tts_notify_voice", "config/assets/tts_notify.mp3")
stop_tts_notify_voice = conn.config.get(
"stop_tts_notify_voice", "config/assets/tts_notify.mp3"
)
audios, duration = conn.tts.audio_to_opus_data(stop_tts_notify_voice)
await sendAudio(conn, audios)
# 清除服务端讲话状态
@@ -85,16 +84,17 @@ async def send_tts_message(conn, state, text=None):
async def send_stt_message(conn, text):
"""发送 STT 状态消息"""
stt_text = get_string_no_punctuation_or_emoji(text)
await conn.websocket.send(json.dumps({
"type": "stt",
"text": stt_text,
"session_id": conn.session_id}
))
await conn.websocket.send(
json.dumps({
"type": "llm",
"text": "😊",
"emotion": "happy",
"session_id": conn.session_id}
))
json.dumps({"type": "stt", "text": stt_text, "session_id": conn.session_id})
)
await conn.websocket.send(
json.dumps(
{
"type": "llm",
"text": "😊",
"emotion": "happy",
"session_id": conn.session_id,
}
)
)
await send_tts_message(conn, "start")
@@ -6,11 +6,12 @@ from core.providers.llm.base import LLMProviderBase
TAG = __name__
logger = setup_logging()
class LLMProvider(LLMProviderBase):
def __init__(self, config):
self.api_key = config["api_key"]
self.mode = config.get("mode", "chat-messages")
self.base_url = config.get("base_url", "https://api.dify.ai/v1").rstrip('/')
self.base_url = config.get("base_url", "https://api.dify.ai/v1").rstrip("/")
self.session_conversation_map = {} # 存储session_id和conversation_id的映射
def response(self, session_id, dialogue):
@@ -22,57 +23,58 @@ class LLMProvider(LLMProviderBase):
# 发起流式请求
if self.mode == "chat-messages":
request_json = {
"query": last_msg["content"],
"response_mode": "streaming",
"user": session_id,
"inputs": {},
"conversation_id": conversation_id
}
"query": last_msg["content"],
"response_mode": "streaming",
"user": session_id,
"inputs": {},
"conversation_id": conversation_id,
}
elif self.mode == "workflows/run":
request_json = {
"inputs": {"query": last_msg["content"]},
"response_mode": "streaming",
"user": session_id
"user": session_id,
}
elif self.mode == "completion-messages":
request_json = {
"inputs": {"query": last_msg["content"]},
"response_mode": "streaming",
"user": session_id
"user": session_id,
}
with requests.post(
f"{self.base_url}/{self.mode}",
headers={"Authorization": f"Bearer {self.api_key}"},
json=request_json,
stream=True
f"{self.base_url}/{self.mode}",
headers={"Authorization": f"Bearer {self.api_key}"},
json=request_json,
stream=True,
) as r:
if self.mode == "chat-messages":
for line in r.iter_lines():
if line.startswith(b'data: '):
if line.startswith(b"data: "):
event = json.loads(line[6:])
# 如果没有找到conversation_id,则获取此次conversation_id
if not conversation_id:
conversation_id = event.get('conversation_id')
self.session_conversation_map[session_id] = conversation_id # 更新映射
if event.get('answer'):
yield event['answer']
conversation_id = event.get("conversation_id")
self.session_conversation_map[session_id] = (
conversation_id # 更新映射
)
if event.get("answer"):
yield event["answer"]
elif self.mode == "workflows/run":
for line in r.iter_lines():
# logger.bind(tag=TAG).info(f"chat message response: {line}")
if line.startswith(b'data: '):
if line.startswith(b"data: "):
event = json.loads(line[6:])
if event.get('event') == "workflow_finished":
if event['data']['status'] == "succeeded":
yield event['data']['outputs']['answer']
if event.get("event") == "workflow_finished":
if event["data"]["status"] == "succeeded":
yield event["data"]["outputs"]["answer"]
else:
yield "【服务响应异常】"
elif self.mode == "completion-messages":
for line in r.iter_lines():
if line.startswith(b'data: '):
if line.startswith(b"data: "):
event = json.loads(line[6:])
if event.get('answer'):
yield event['answer']
if event.get("answer"):
yield event["answer"]
except Exception as e:
logger.bind(tag=TAG).error(f"Error in response generation: {e}")