Добавлены параметры конфигурации

build-dataset/robot-move-data.py

@@ -4,6 +4,7 @@ from dotenv import load_dotenv
 
 # from pydantic import BaseModel
 from pydantic_ai import Agent
+from pydantic_ai.settings import ModelSettings
 
 from llm.config import load_config
 from llm.factory import LLMModelProvider
@@ -22,8 +23,16 @@ async def main():
     # model = LLMModelProvider.create_openai_compatible(model_name="qwen/qwen3-8b",
     #                                                   api_key=os.getenv("API_KEY"),
     #                                                   base_url=os.getenv("BASE_URL"))
-    agent = Agent(model=model)
-    result = await agent.run('Привет, дай мне ответ')
+    agent = Agent(model=model,
+                  system_prompt=config.prompts.system,
+                  instructions=config.prompts.instructions)
+    settings = ModelSettings(
+        **config.generation.model_dump()
+    )
+
+    user_prompt = config.prompts.user.format(task="Повтори сообщение")
+    result = await agent.run(user_prompt,
+                             model_settings=settings)
     print(result.output)
 
 

config.yml

@@ -1,4 +1,21 @@
 llm:
-  provider: codex  # openai, codex
-  model: gpt-5.6-luna
-  # model: qwen/qwen3-8b
+  provider: openai  # openai, codex
+  # model: gpt-5.6-luna
+  model: qwen/qwen3-8b
+
+generation:
+  temperature: 0.7
+  max_tokens: 4096
+
+runtime:
+  concurrency: 1 # Колличество одновременных запросов
+
+prompts:
+  instructions: |
+    Инструкция промпт
+  system: |
+    Системный промпт
+  user: |
+    Сформируй план выполнения следующей задачи:
+
+    {task}

llm/config.py

@@ -2,17 +2,21 @@ from pathlib import Path
 from typing import Annotated, Literal
 
 import yaml
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
 
 
-class CodexConfig(BaseModel):
+class ConfigModel(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+# LLM
+class CodexConfig(ConfigModel):
     provider: Literal["codex"]
     model: str = "gpt-5.6-luna"
 
     credential_path: Path | None = None
 
 
-class OpenAiConfig(BaseModel):
+class OpenAiConfig(ConfigModel):
     provider: Literal["openai"]
     model: str
 
@@ -25,11 +29,34 @@ LLMConfig = Annotated[
     Field(discriminator="provider")
 ]
 
+# Generation
+class GenerationConfig(ConfigModel):
+    temperature: float = Field(default=.7,
+                               ge=.0,
+                               le=2.0)
+    max_tokens: int = Field(default=4096,
+                            gt=0)
     
-class AppConfig(BaseModel):
+
+# Runtime
+class RuntimeConfig(ConfigModel):
+    concurrency: int = Field(ge=1, default=1)
+
+# Prompts
+class PromptsConfig(ConfigModel):
+    instructions: str
+    system: str
+    user: str
+
+# Application
+class AppConfig(ConfigModel):
     llm: LLMConfig
+    generation: GenerationConfig = GenerationConfig()
+    runtime: RuntimeConfig = RuntimeConfig()
+    prompts: PromptsConfig
 
 
+# Loader
 def load_config(path: str | Path = "config.yaml") -> AppConfig:
     path = Path(path)