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Update agent.py
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agent.py
CHANGED
@@ -31,6 +31,12 @@ from langchain_community.vectorstores import FAISS
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from langchain_community.embeddings import HuggingFaceEmbeddings
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load_dotenv()
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@@ -129,6 +135,20 @@ def arvix_search(query: str) -> str:
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# load the system prompt from the file
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with open("system_prompt.txt", "r", encoding="utf-8") as f:
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system_prompt = f.read()
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@@ -137,6 +157,22 @@ with open("system_prompt.txt", "r", encoding="utf-8") as f:
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sys_msg = SystemMessage(content=system_prompt)
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# -------------------------------
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# Step 2: Load the JSON file or tasks (Replace this part if you're loading tasks dynamically)
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from langchain_community.embeddings import HuggingFaceEmbeddings
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from tools import (
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multiply, add, subtract, divide, modulus,
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wiki_search, web_search, arvix_search
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)
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load_dotenv()
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# -----------------------------
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# Load configuration from YAML
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# -----------------------------
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with open("config.yaml", "r") as f:
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config = yaml.safe_load(f)
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provider = config["provider"]
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#prompt_path = config["system_prompt_path"]
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enabled_tool_names = config["tools"]
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# -----------------------------
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# Load system prompt
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# -----------------------------
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# load the system prompt from the file
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with open("system_prompt.txt", "r", encoding="utf-8") as f:
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system_prompt = f.read()
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sys_msg = SystemMessage(content=system_prompt)
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# -----------------------------
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# Map tool names to functions
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# -----------------------------
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tool_map = {
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"multiply": multiply,
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"add": add,
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"subtract": subtract,
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"divide": divide,
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"modulus": modulus,
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"wiki_search": wiki_search,
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"web_search": web_search,
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"arvix_search": arvix_search,
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}
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tools = [tool_map[name] for name in enabled_tool_names]
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# -------------------------------
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# Step 2: Load the JSON file or tasks (Replace this part if you're loading tasks dynamically)
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