Release v2.0.0

This commit is contained in:
SMKRV
2024-11-25 15:42:04 +03:00
parent fafd927610
commit c2064f0b64
4 changed files with 18 additions and 7 deletions
+5 -1
View File
@@ -134,6 +134,7 @@ data:
model: "claude-3-sonnet" # optional
temperature: 0.5 # optional
max_tokens: 500 # optional
context_messages: 10 #optional, number of previous messages to include in context, default: 5
system_prompt: "You are a sleep optimization expert" # optional
```
@@ -159,7 +160,7 @@ service: ha_text_ai.clear_history
service: ha_text_ai.get_history
data:
limit: 5 # optional
filter_model: "gpt-4" # optional
filter_model: "gpt-4o" # optional
```
## 📘 FAQ
@@ -185,6 +186,9 @@ A: Use GPT-3.5-Turbo for most queries, implement caching, and optimize token usa
**Q: Is my data secure?**
A: Yes, your data is secure. The system operates entirely on your local machine, keeping your data under your control. API keys are stored securely and all external communications use encrypted connections.
**Q: How do context messages work?**
A: Context messages allow the AI to remember and reference previous conversation history. By default, 5 previous messages are included, but you can customize this from 1 to 20 messages to control the conversation depth and token usage.
## 🤝 Contributing
Contributions welcome! Please read our [Contributing Guide](CONTRIBUTING.md).
@@ -18,7 +18,8 @@
"temperature": "Antwort-Kreativität (0-2, niedriger = fokussierter)",
"max_tokens": "Maximale Antwortlänge (1-4096 Token)",
"api_endpoint": "Benutzerdefinierte API-Endpunkt-URL (optional)",
"request_interval": "Minimale Zeit zwischen Anfragen (0,1-60 Sekunden)"
"request_interval": "Minimale Zeit zwischen Anfragen (0,1-60 Sekunden)",
"context_messages": "Anzahl der zu speichernden Kontextnachrichten (1-20)"
}
}
},
@@ -49,7 +50,9 @@
"model": "KI-Modell",
"temperature": "Antwort-Kreativität (0-2)",
"max_tokens": "Maximale Antwortlänge (1-4096)",
"request_interval": "Minimales Anfragen-Intervall (0,1-60 Sekunden)"
"request_interval": "Minimales Anfragen-Intervall (0,1-60 Sekunden)",
"context_messages": "Anzahl der vorherigen Nachrichten, die in den Kontext einbezogen werden sollen (1-20)"
}
}
}
@@ -18,7 +18,8 @@
"temperature": "Response creativity (0-2, lower = more focused)",
"max_tokens": "Maximum response length (1-4096 tokens)",
"api_endpoint": "Custom API endpoint URL (optional)",
"request_interval": "Minimum time between requests (0.1-60 seconds)"
"request_interval": "Minimum time between requests (0.1-60 seconds)",
"context_messages": "Number of context messages to retain (1-20)"
}
}
},
@@ -49,7 +50,8 @@
"model": "AI model",
"temperature": "Response creativity (0-2)",
"max_tokens": "Maximum response length (1-4096)",
"request_interval": "Minimum request interval (0.1-60 seconds)"
"request_interval": "Minimum request interval (0.1-60 seconds)",
"context_messages": "Number of previous messages to include in context (1-20)"
}
}
}
@@ -18,7 +18,8 @@
"temperature": "Креативность ответов (0-2, меньше = более сфокусированно)",
"max_tokens": "Максимальная длина ответа (1-4096 токенов)",
"api_endpoint": "Пользовательский URL-адрес API (необязательно)",
"request_interval": "Минимальный интервал между запросами (0.1-60 секунд)"
"request_interval": "Минимальный интервал между запросами (0.1-60 секунд)",
"context_messages": "Количество сохраняемых контекстных сообщений (1-20)"
}
}
},
@@ -49,7 +50,8 @@
"model": "Модель ИИ",
"temperature": "Креативность ответов (0-2)",
"max_tokens": "Максимальная длина ответа (1-4096)",
"request_interval": "Минимальный интервал запросов (0.1-60 секунд)"
"request_interval": "Минимальный интервал запросов (0.1-60 секунд)",
"context_messages": "Количество предыдущих сообщений для включения в контекст (1-20)"
}
}
}