mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-08 15:48:29 +00:00
getting cli and .env to work together for different models
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@@ -122,6 +122,9 @@ class Agent(BaseAgent):
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def post_init_setup(self):
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self.agent_ops_agent_name = self.role
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print("IN POST INIT SETUP")
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print("self.llm:", self.llm)
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# Handle different cases for self.llm
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if isinstance(self.llm, str):
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# If it's a string, create an LLM instance
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@@ -130,6 +133,7 @@ class Agent(BaseAgent):
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# If it's already an LLM instance, keep it as is
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pass
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elif self.llm is None:
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print("No LLM provided")
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# If it's None, use environment variables or default
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model_name = os.environ.get("OPENAI_MODEL_NAME", "gpt-4o-mini")
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llm_params = {"model": model_name}
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@@ -146,6 +150,7 @@ class Agent(BaseAgent):
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self.llm = LLM(**llm_params)
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else:
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print("IN ELSE")
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# For any other type, attempt to extract relevant attributes
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llm_params = {
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"model": getattr(self.llm, "model_name", None)
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@@ -1,19 +1,86 @@
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ENV_VARS = {
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'openai': ['OPENAI_API_KEY'],
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'anthropic': ['ANTHROPIC_API_KEY'],
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'gemini': ['GEMINI_API_KEY'],
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'groq': ['GROQ_API_KEY'],
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'ollama': ['FAKE_KEY'],
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"openai": [
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{
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"prompt": "Enter your OPENAI API key (press Enter to skip)",
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"key_name": "OPENAI_API_KEY",
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}
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],
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"anthropic": [
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{
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"prompt": "Enter your ANTHROPIC API key (press Enter to skip)",
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"key_name": "ANTHROPIC_API_KEY",
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}
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],
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"gemini": [
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{
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"prompt": "Enter your GEMINI API key (press Enter to skip)",
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"key_name": "GEMINI_API_KEY",
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}
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],
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"groq": [
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{
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"prompt": "Enter your GROQ API key (press Enter to skip)",
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"key_name": "GROQ_API_KEY",
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}
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],
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"watson": [
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{
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"prompt": "Enter your WATSONX URL (press Enter to skip)",
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"key_name": "WATSONX_URL",
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},
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{
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"prompt": "Enter your WATSONX API key (press Enter to skip)",
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"key_name": "WATSONX_APIKEY",
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},
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{
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"prompt": "Enter your WATSONX token (press Enter to skip)",
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"key_name": "WATSONX_TOKEN",
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},
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],
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}
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PROVIDERS = ['openai', 'anthropic', 'gemini', 'groq', 'ollama']
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PROVIDERS = ["openai", "anthropic", "gemini", "groq", "ollama", "watson"]
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MODELS = {
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'openai': ['gpt-4', 'gpt-4o', 'gpt-4o-mini', 'o1-mini', 'o1-preview'],
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'anthropic': ['claude-3-5-sonnet-20240620', 'claude-3-sonnet-20240229', 'claude-3-opus-20240229', 'claude-3-haiku-20240307'],
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'gemini': ['gemini-1.5-flash', 'gemini-1.5-pro', 'gemini-gemma-2-9b-it', 'gemini-gemma-2-27b-it'],
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'groq': ['llama-3.1-8b-instant', 'llama-3.1-70b-versatile', 'llama-3.1-405b-reasoning', 'gemma2-9b-it', 'gemma-7b-it'],
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'ollama': ['llama3.1', 'mixtral'],
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"openai": ["gpt-4", "gpt-4o", "gpt-4o-mini", "o1-mini", "o1-preview"],
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"anthropic": [
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"claude-3-5-sonnet-20240620",
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"claude-3-sonnet-20240229",
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"claude-3-opus-20240229",
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"claude-3-haiku-20240307",
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],
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"gemini": [
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"gemini-1.5-flash",
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"gemini-1.5-pro",
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"gemini-gemma-2-9b-it",
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"gemini-gemma-2-27b-it",
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],
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"groq": [
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"llama-3.1-8b-instant",
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"llama-3.1-70b-versatile",
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"llama-3.1-405b-reasoning",
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"gemma2-9b-it",
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"gemma-7b-it",
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],
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"ollama": ["ollama/llama3.1", "ollama/mixtral"],
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"watson": [
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"watsonx/google/flan-t5-xxl",
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"watsonx/google/flan-ul2",
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"watsonx/bigscience/mt0-xxl",
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"watsonx/eleutherai/gpt-neox-20b",
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"watsonx/ibm/mpt-7b-instruct2",
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"watsonx/bigcode/starcoder",
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"watsonx/meta-llama/llama-2-70b-chat",
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"watsonx/meta-llama/llama-2-13b-chat",
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"watsonx/ibm/granite-13b-instruct-v1",
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"watsonx/ibm/granite-13b-chat-v1",
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"watsonx/google/flan-t5-xl",
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"watsonx/ibm/granite-13b-chat-v2",
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"watsonx/ibm/granite-13b-instruct-v2",
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"watsonx/elyza/elyza-japanese-llama-2-7b-instruct",
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"watsonx/ibm-mistralai/mixtral-8x7b-instruct-v01-q",
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],
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}
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JSON_URL = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json"
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JSON_URL = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json"
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@@ -5,7 +5,6 @@ import click
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from crewai.cli.constants import ENV_VARS
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from crewai.cli.provider import (
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PROVIDERS,
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get_provider_data,
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select_model,
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select_provider,
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@@ -92,7 +91,7 @@ def create_crew(name, provider=None, skip_provider=False, parent_folder=None):
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existing_provider = None
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for provider, env_keys in ENV_VARS.items():
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if any(key in env_vars for key in env_keys):
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if any(details["key_name"] in env_vars for details in env_keys):
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existing_provider = provider
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break
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@@ -129,35 +128,28 @@ def create_crew(name, provider=None, skip_provider=False, parent_folder=None):
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"No model selected. Please try again or press 'q' to exit.", fg="red"
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)
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if selected_provider in PROVIDERS:
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api_key_var = ENV_VARS[selected_provider][0]
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else:
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api_key_var = click.prompt(
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f"Enter the environment variable name for your {selected_provider.capitalize()} API key",
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type=str,
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default="",
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)
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# Check if the selected provider requires API keys
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if selected_provider in ENV_VARS:
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provider_env_vars = ENV_VARS[selected_provider]
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for details in provider_env_vars:
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prompt = details["prompt"]
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key_name = details["key_name"]
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api_key_value = click.prompt(prompt, default="", show_default=False)
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api_key_value = ""
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click.echo(
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f"Enter your {selected_provider.capitalize()} API key (press Enter to skip): ",
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nl=False,
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)
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try:
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api_key_value = input()
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except (KeyboardInterrupt, EOFError):
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api_key_value = ""
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if api_key_value.strip():
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env_vars[key_name] = api_key_value
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if api_key_value.strip():
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env_vars = {api_key_var: api_key_value}
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# Save the selected model to env_vars
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env_vars["MODEL"] = selected_model
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if env_vars:
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write_env_file(folder_path, env_vars)
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click.secho("API key saved to .env file", fg="green")
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click.secho("API keys and model saved to .env file", fg="green")
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else:
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click.secho(
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"No API key provided. Skipping .env file creation.", fg="yellow"
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"No API keys provided. Skipping .env file creation.", fg="yellow"
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)
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env_vars["MODEL"] = selected_model
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click.secho(f"Selected model: {selected_model}", fg="green")
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package_dir = Path(__file__).parent
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@@ -48,4 +48,4 @@ class {{crew_name}}Crew():
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process=Process.sequential,
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verbose=True,
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# process=Process.hierarchical, # In case you wanna use that instead https://docs.crewai.com/how-to/Hierarchical/
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)
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)
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@@ -1,7 +1,11 @@
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#!/usr/bin/env python
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import sys
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import warnings
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from {{folder_name}}.crew import {{crew_name}}Crew
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warnings.filterwarnings("ignore", category=SyntaxWarning, module="pysbd")
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# This main file is intended to be a way for you to run your
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# crew locally, so refrain from adding unnecessary logic into this file.
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# Replace with inputs you want to test with, it will automatically
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