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ContiAI / modules /env.py
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ziadsameh32
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from crewai import LLM
import os
from dotenv import load_dotenv
from pathlib import Path
from langchain_openai import ChatOpenAI
from langchain_openrouter import ChatOpenRouter
env_path = Path(__file__).resolve().parents[1] / ".env"
# Load variables from .env file
load_dotenv(dotenv_path=env_path)
# Now you can access them
gemini_key = os.getenv("GEMINI_API_KEY")
tavily_key = os.getenv("TAVILY_API_KEY")
openrouter_key = os.getenv("OPENROUTER_API_KEY")
os.environ["ANTHROPIC_API_KEY"] = openrouter_key
# llm = LLM(model="gemini/gemini-2.5-flash", temperature=0, api_key=gemini_key)
# llm = LLM(
# model="openrouter/openai/gpt-oss-20b:free",
# api_key=openrouter_key,
# base_url="https://openrouter.ai/api/v1",
# )
def llm():
return LLM(
model="openrouter/openai/gpt-oss-20b:free",
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
)
def llm_oss():
return LLM(
model="openrouter/openai/gpt-oss-20b:free",
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
)
def llm_oss_120b():
return LLM(
model="openai/gpt-oss-120b:nitro",
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
)
def llm_g():
return LLM(
model="openrouter/google/gemini-2.5-flash",
temperature=0,
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
)
def llm_5m():
return LLM(
model="openrouter/openai/gpt-5-mini",
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
)
def llm_4m():
return LLM(
model="openrouter/openai/gpt-4.1-mini",
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
)
# def llm_5m():
# return LLM(
# model="gpt-5-mini-2025-08-07",
# )
# def llm_4m():
# return LLM(
# model="gpt-4.1-mini-2025-04-14",
# )
# def llm_5n():
# return LLM(
# model="gpt-5-nano-2025-08-07",
# )
def llm_open_4m():
return LLM(
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
model="openrouter/openai/gpt-4.1-mini",
)
def llm_5n():
return LLM(
model="openrouter/openai/gpt-5-nano",
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
)
def llm_open_c3():
return LLM(
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
model="openrouter/anthropic/claude-3-haiku",
# streaming=False,
)
def llm_open_c35():
return LLM(
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
model="openrouter/anthropic/claude-3.5-haiku",
# streaming=False,
)
def llm_open_nova():
return LLM(
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
model="openrouter/amazon/nova-2-lite-v1",
# streaming=False,
# tools=[],
)
def llm_open_hermes():
return LLM(
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
model="openrouter/nousresearch/hermes-3-llama-3.1-405b:free",
# streaming=False,
)
def llm_open_grok():
return LLM(
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
model="openrouter/x-ai/grok-4.3",
max_tokens=15000,
# streaming=False,
)
def llm_open_g25pro():
return LLM(
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
model="openrouter/google/gemini-2.5-pro",
# streaming=False,
max_output_tokens=40000,
)
# Initialize Gemini model
def model():
return ChatOpenAI(
model="google/gemini-2.5-flash",
temperature=0,
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
)
def llm_qwen():
return LLM(
api_key=openrouter_key,
base_url="https://openrouter.ai/api/v1",
model="openrouter/qwen/qwen3.6-plus:free",
# streaming=False,
)
def model_open_router():
return ChatOpenRouter(
model="x-ai/grok-4.1-fast",
api_key=openrouter_key,
temperature=0.2,
max_retries=2,
)
# # check llm
# response=llm_g.call("Hello, how are you?")
# print(response)