use LLMKeyConfig

lang_agent/config/__init__.py

@@ -1 +1 @@
-from lang_agent.config.core_config import InstantiateConfig, KeyConfig, ToolConfig, LLMKeyConfig
+from lang_agent.config.core_config import InstantiateConfig, ToolConfig, LLMKeyConfig

lang_agent/eval/validator.py

@@ -3,7 +3,7 @@ from typing import Type, Callable, List
 import tyro
 import random
 
-from lang_agent.config import KeyConfig
+from lang_agent.config import LLMKeyConfig
 from lang_agent.pipeline import Pipeline, PipelineConfig
 
 from langchain.chat_models import init_chat_model
@@ -11,7 +11,7 @@ from langchain_core.messages import BaseMessage, ToolMessage
 
 @tyro.conf.configure(tyro.conf.SuppressFixed)
 @dataclass
-class ValidatorConfig(KeyConfig):
+class ValidatorConfig(LLMKeyConfig):
     _target: Type = field(default_factory=lambda:Validator)
 
 
@@ -34,9 +34,9 @@ class Validator:
 
     def populate_modules(self):
         self.judge_llm = init_chat_model(
-            model="qwen-plus",
+            model=self.config.llm_name,
-            model_provider="openai",
+            model_provider=self.config.llm_provider,
-            base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
+            base_url=self.config.base_url,
             api_key=self.config.api_key
         )
 

lang_agent/graphs/react.py

@@ -4,7 +4,7 @@ import tyro
 import os.path as osp
 from loguru import logger
 
-from lang_agent.config import KeyConfig
+from lang_agent.config import LLMKeyConfig
 from lang_agent.components.tool_manager import ToolManager, ToolManagerConfig
 from lang_agent.components.prompt_store import build_prompt_store
 from lang_agent.base import GraphBase
@@ -20,21 +20,12 @@ from langgraph.graph import StateGraph, START, END
 # NOTE: maybe make this into a base_graph_config?
 @tyro.conf.configure(tyro.conf.SuppressFixed)
 @dataclass
-class ReactGraphConfig(KeyConfig):
+class ReactGraphConfig(LLMKeyConfig):
     _target: Type = field(default_factory=lambda: ReactGraph)
 
-    llm_name: str = "qwen-plus"
-    """name of llm"""
-
-    llm_provider:str = "openai"
-    """provider of the llm"""
-
     sys_prompt_f:str = osp.join(osp.dirname(osp.dirname(osp.dirname(__file__))), "configs", "prompts", "blueberry.txt")
     """path to system prompt"""
 
-    base_url:str = "https://dashscope.aliyuncs.com/compatible-mode/v1"
-    """base url; could be used to overwrite the baseurl in llm provider"""
-
     pipeline_id: Optional[str] = None
     """If set, load prompts from database (with file fallback)"""
 

lang_agent/graphs/tool_nodes.py

@@ -6,7 +6,7 @@ import time
 import asyncio
 from loguru import logger
 
-from lang_agent.config import InstantiateConfig, KeyConfig
+from lang_agent.config import InstantiateConfig, LLMKeyConfig
 from lang_agent.components.tool_manager import ToolManager
 from lang_agent.components.prompt_store import build_prompt_store
 from lang_agent.components.reit_llm import ReitLLM
@@ -85,18 +85,9 @@ class ToolNode(ToolNodeBase):
 
     
 @dataclass
-class ChattyToolNodeConfig(KeyConfig, ToolNodeConfig):
+class ChattyToolNodeConfig(LLMKeyConfig, ToolNodeConfig):
     _target: Type = field(default_factory=lambda: ChattyToolNode)
 
-    llm_name: str = "qwen-plus"
-    """name of llm"""
-
-    llm_provider:str = "openai"
-    """provider of the llm"""
-
-    base_url:str = "https://dashscope.aliyuncs.com/compatible-mode/v1"
-    """base url; could be used to overwrite the baseurl in llm provider"""
-
     chatty_sys_prompt_f:str = osp.join(osp.dirname(osp.dirname(osp.dirname(__file__))), "configs", "route_sys_prompts", "chatty_prompt.txt")
     """path to chatty system prompt"""
 

lang_agent/pipeline.py

@@ -13,7 +13,7 @@ from langchain_core.messages import SystemMessage, HumanMessage, BaseMessage
 from langchain.agents import create_agent
 from langgraph.checkpoint.memory import MemorySaver
         
-from lang_agent.config import InstantiateConfig, KeyConfig
+from lang_agent.config import LLMKeyConfig
 from lang_agent.graphs import AnnotatedGraph, ReactGraphConfig, RoutingConfig
 from lang_agent.base import GraphBase
 from lang_agent.components import conv_store
@@ -52,21 +52,12 @@ DEFAULT_PROMPT="""你是半盏新青年茶馆的服务员，擅长倾听、共
 
 @tyro.conf.configure(tyro.conf.SuppressFixed)
 @dataclass
-class PipelineConfig(KeyConfig):
+class PipelineConfig(LLMKeyConfig):
     _target: Type = field(default_factory=lambda: Pipeline)
 
     config_f: str = None
     """path to config file"""
 
-    llm_name: str = "qwen-plus"
-    """name of llm; use default for qwen-plus"""
-
-    llm_provider:str = "openai"
-    """provider of the llm; use default for openai"""
-
-    base_url:str = "https://dashscope.aliyuncs.com/compatible-mode/v1"
-    """base url; could be used to overwrite the baseurl in llm provider"""
-
     host:str = "0.0.0.0"
     """where am I hosted"""
 

lang_agent/rag/simple.py

@@ -9,13 +9,13 @@ from langchain_community.vectorstores import FAISS
 from langchain_core.documents.base import Document
 
 from lang_agent.rag.emb import QwenEmbeddings
-from lang_agent.config import ToolConfig, KeyConfig
+from lang_agent.config import ToolConfig, LLMKeyConfig
 from lang_agent.base import LangToolBase
 
 
 @tyro.conf.configure(tyro.conf.SuppressFixed)
 @dataclass
-class SimpleRagConfig(ToolConfig, KeyConfig):
+class SimpleRagConfig(ToolConfig, LLMKeyConfig):
     _target: Type = field(default_factory=lambda: SimpleRag)
 
     model_name:str = "text-embedding-v4"