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8 Commits
docs/updat
...
feat/watso
| Author | SHA1 | Date | |
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40f6bdbea1 | ||
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a9eaf63c34 | ||
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b747d66c52 | ||
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7c7c3f88ad | ||
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534477bc6f | ||
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6b3c5d28e2 | ||
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15fa69a7e1 | ||
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775fea180b |
@@ -8,6 +8,7 @@ from pydantic import Field, InstanceOf, PrivateAttr, model_validator
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from crewai.agents import CacheHandler
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from crewai.agents.agent_builder.base_agent import BaseAgent
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from crewai.agents.crew_agent_executor import CrewAgentExecutor
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from crewai.cli.constants import ENV_VARS
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from crewai.llm import LLM
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from crewai.memory.contextual.contextual_memory import ContextualMemory
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from crewai.tools.agent_tools import AgentTools
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@@ -130,8 +131,12 @@ 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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# 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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# Determine the model name from environment variables or use default
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model_name = (
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os.environ.get("OPENAI_MODEL_NAME")
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or os.environ.get("MODEL")
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or "gpt-4o-mini"
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)
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llm_params = {"model": model_name}
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api_base = os.environ.get("OPENAI_API_BASE") or os.environ.get(
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@@ -140,9 +145,39 @@ class Agent(BaseAgent):
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if api_base:
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llm_params["base_url"] = api_base
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api_key = os.environ.get("OPENAI_API_KEY")
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if api_key:
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llm_params["api_key"] = api_key
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# Iterate over all environment variables to find matching API keys or use defaults
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for provider, env_vars in ENV_VARS.items():
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for env_var in env_vars:
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# Check if the environment variable is set
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if "key_name" in env_var:
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env_value = os.environ.get(env_var["key_name"])
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if env_value:
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# Map key names containing "API_KEY" to "api_key"
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key_name = (
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"api_key"
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if "API_KEY" in env_var["key_name"]
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else env_var["key_name"]
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)
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# Map key names containing "API_BASE" to "api_base"
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key_name = (
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"api_base"
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if "API_BASE" in env_var["key_name"]
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else key_name
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)
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# Map key names containing "API_VERSION" to "api_version"
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key_name = (
|
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"api_version"
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if "API_VERSION" in env_var["key_name"]
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else key_name
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)
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llm_params[key_name] = env_value
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# Check for default values if the environment variable is not set
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elif env_var.get("default", False):
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for key, value in env_var.items():
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if key not in ["prompt", "key_name", "default"]:
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# Only add default if the key is already set in os.environ
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if key in os.environ:
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llm_params[key] = value
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self.llm = LLM(**llm_params)
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else:
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@@ -1,19 +1,168 @@
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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 Project Id (press Enter to skip)",
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"key_name": "WATSONX_PROJECT_ID",
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},
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],
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"ollama": [
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{
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"default": True,
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"API_BASE": "http://localhost:11434",
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}
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],
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"bedrock": [
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{
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"prompt": "Enter your AWS Access Key ID (press Enter to skip)",
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"key_name": "AWS_ACCESS_KEY_ID",
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},
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{
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"prompt": "Enter your AWS Secret Access Key (press Enter to skip)",
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"key_name": "AWS_SECRET_ACCESS_KEY",
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},
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{
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"prompt": "Enter your AWS Region Name (press Enter to skip)",
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"key_name": "AWS_REGION_NAME",
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},
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],
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"azure": [
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{
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"prompt": "Enter your Azure deployment name (must start with 'azure/')",
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"key_name": "model",
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},
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{
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"prompt": "Enter your AZURE API key (press Enter to skip)",
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"key_name": "AZURE_API_KEY",
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},
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{
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"prompt": "Enter your AZURE API base URL (press Enter to skip)",
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"key_name": "AZURE_API_BASE",
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},
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{
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"prompt": "Enter your AZURE API version (press Enter to skip)",
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"key_name": "AZURE_API_VERSION",
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},
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],
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"cerebras": [
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{
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"prompt": "Enter your Cerebras model name (must start with 'cerebras/')",
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"key_name": "model",
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},
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{
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"prompt": "Enter your Cerebras API version (press Enter to skip)",
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"key_name": "CEREBRAS_API_KEY",
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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 = [
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"openai",
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"anthropic",
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"gemini",
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"groq",
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"ollama",
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"watson",
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"bedrock",
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"azure",
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"cerebras",
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]
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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/gemini-1.5-flash",
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"gemini/gemini-1.5-pro",
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||||
"gemini/gemini-gemma-2-9b-it",
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"gemini/gemini-gemma-2-27b-it",
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],
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"groq": [
|
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"groq/llama-3.1-8b-instant",
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"groq/llama-3.1-70b-versatile",
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"groq/llama-3.1-405b-reasoning",
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"groq/gemma2-9b-it",
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"groq/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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"bedrock": [
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"bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0",
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"bedrock/anthropic.claude-3-sonnet-20240229-v1:0",
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"bedrock/anthropic.claude-3-haiku-20240307-v1:0",
|
||||
"bedrock/anthropic.claude-3-opus-20240229-v1:0",
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"bedrock/anthropic.claude-v2:1",
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||||
"bedrock/anthropic.claude-v2",
|
||||
"bedrock/anthropic.claude-instant-v1",
|
||||
"bedrock/meta.llama3-1-405b-instruct-v1:0",
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"bedrock/meta.llama3-1-70b-instruct-v1:0",
|
||||
"bedrock/meta.llama3-1-8b-instruct-v1:0",
|
||||
"bedrock/meta.llama3-70b-instruct-v1:0",
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||||
"bedrock/meta.llama3-8b-instruct-v1:0",
|
||||
"bedrock/amazon.titan-text-lite-v1",
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"bedrock/amazon.titan-text-express-v1",
|
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"bedrock/cohere.command-text-v14",
|
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"bedrock/ai21.j2-mid-v1",
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||||
"bedrock/ai21.j2-ultra-v1",
|
||||
"bedrock/ai21.jamba-instruct-v1:0",
|
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"bedrock/meta.llama2-13b-chat-v1",
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||||
"bedrock/meta.llama2-70b-chat-v1",
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"bedrock/mistral.mistral-7b-instruct-v0:2",
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"bedrock/mistral.mixtral-8x7b-instruct-v0:1",
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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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@@ -1,11 +1,11 @@
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import shutil
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import sys
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from pathlib import Path
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import click
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from crewai.cli.constants import ENV_VARS
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||||
from crewai.cli.constants import ENV_VARS, MODELS
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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,
|
||||
@@ -29,20 +29,20 @@ def create_folder_structure(name, parent_folder=None):
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click.secho("Operation cancelled.", fg="yellow")
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sys.exit(0)
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||||
click.secho(f"Overriding folder {folder_name}...", fg="green", bold=True)
|
||||
else:
|
||||
click.secho(
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||||
f"Creating {'crew' if parent_folder else 'folder'} {folder_name}...",
|
||||
fg="green",
|
||||
bold=True,
|
||||
)
|
||||
shutil.rmtree(folder_path) # Delete the existing folder and its contents
|
||||
|
||||
if not folder_path.exists():
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||||
folder_path.mkdir(parents=True)
|
||||
(folder_path / "tests").mkdir(exist_ok=True)
|
||||
if not parent_folder:
|
||||
(folder_path / "src" / folder_name).mkdir(parents=True)
|
||||
(folder_path / "src" / folder_name / "tools").mkdir(parents=True)
|
||||
(folder_path / "src" / folder_name / "config").mkdir(parents=True)
|
||||
click.secho(
|
||||
f"Creating {'crew' if parent_folder else 'folder'} {folder_name}...",
|
||||
fg="green",
|
||||
bold=True,
|
||||
)
|
||||
|
||||
folder_path.mkdir(parents=True)
|
||||
(folder_path / "tests").mkdir(exist_ok=True)
|
||||
if not parent_folder:
|
||||
(folder_path / "src" / folder_name).mkdir(parents=True)
|
||||
(folder_path / "src" / folder_name / "tools").mkdir(parents=True)
|
||||
(folder_path / "src" / folder_name / "config").mkdir(parents=True)
|
||||
|
||||
return folder_path, folder_name, class_name
|
||||
|
||||
@@ -92,7 +92,10 @@ def create_crew(name, provider=None, skip_provider=False, parent_folder=None):
|
||||
|
||||
existing_provider = None
|
||||
for provider, env_keys in ENV_VARS.items():
|
||||
if any(key in env_vars for key in env_keys):
|
||||
if any(
|
||||
"key_name" in details and details["key_name"] in env_vars
|
||||
for details in env_keys
|
||||
):
|
||||
existing_provider = provider
|
||||
break
|
||||
|
||||
@@ -118,47 +121,48 @@ def create_crew(name, provider=None, skip_provider=False, parent_folder=None):
|
||||
"No provider selected. Please try again or press 'q' to exit.", fg="red"
|
||||
)
|
||||
|
||||
while True:
|
||||
selected_model = select_model(selected_provider, provider_models)
|
||||
if selected_model is None: # User typed 'q'
|
||||
click.secho("Exiting...", fg="yellow")
|
||||
sys.exit(0)
|
||||
if selected_model: # Valid selection
|
||||
break
|
||||
click.secho(
|
||||
"No model selected. Please try again or press 'q' to exit.", fg="red"
|
||||
)
|
||||
# Check if the selected provider has predefined models
|
||||
if selected_provider in MODELS and MODELS[selected_provider]:
|
||||
while True:
|
||||
selected_model = select_model(selected_provider, provider_models)
|
||||
if selected_model is None: # User typed 'q'
|
||||
click.secho("Exiting...", fg="yellow")
|
||||
sys.exit(0)
|
||||
if selected_model: # Valid selection
|
||||
break
|
||||
click.secho(
|
||||
"No model selected. Please try again or press 'q' to exit.",
|
||||
fg="red",
|
||||
)
|
||||
env_vars["MODEL"] = selected_model
|
||||
|
||||
if selected_provider in PROVIDERS:
|
||||
api_key_var = ENV_VARS[selected_provider][0]
|
||||
else:
|
||||
api_key_var = click.prompt(
|
||||
f"Enter the environment variable name for your {selected_provider.capitalize()} API key",
|
||||
type=str,
|
||||
default="",
|
||||
)
|
||||
# Check if the selected provider requires API keys
|
||||
if selected_provider in ENV_VARS:
|
||||
provider_env_vars = ENV_VARS[selected_provider]
|
||||
for details in provider_env_vars:
|
||||
if details.get("default", False):
|
||||
# Automatically add default key-value pairs
|
||||
for key, value in details.items():
|
||||
if key not in ["prompt", "key_name", "default"]:
|
||||
env_vars[key] = value
|
||||
elif "key_name" in details:
|
||||
# Prompt for non-default key-value pairs
|
||||
prompt = details["prompt"]
|
||||
key_name = details["key_name"]
|
||||
api_key_value = click.prompt(prompt, default="", show_default=False)
|
||||
|
||||
api_key_value = ""
|
||||
click.echo(
|
||||
f"Enter your {selected_provider.capitalize()} API key (press Enter to skip): ",
|
||||
nl=False,
|
||||
)
|
||||
try:
|
||||
api_key_value = input()
|
||||
except (KeyboardInterrupt, EOFError):
|
||||
api_key_value = ""
|
||||
if api_key_value.strip():
|
||||
env_vars[key_name] = api_key_value
|
||||
|
||||
if api_key_value.strip():
|
||||
env_vars = {api_key_var: api_key_value}
|
||||
if env_vars:
|
||||
write_env_file(folder_path, env_vars)
|
||||
click.secho("API key saved to .env file", fg="green")
|
||||
click.secho("API keys and model saved to .env file", fg="green")
|
||||
else:
|
||||
click.secho(
|
||||
"No API key provided. Skipping .env file creation.", fg="yellow"
|
||||
"No API keys provided. Skipping .env file creation.", fg="yellow"
|
||||
)
|
||||
|
||||
env_vars["MODEL"] = selected_model
|
||||
click.secho(f"Selected model: {selected_model}", fg="green")
|
||||
click.secho(f"Selected model: {env_vars.get('MODEL', 'N/A')}", fg="green")
|
||||
|
||||
package_dir = Path(__file__).parent
|
||||
templates_dir = package_dir / "templates" / "crew"
|
||||
|
||||
@@ -48,4 +48,4 @@ class {{crew_name}}Crew():
|
||||
process=Process.sequential,
|
||||
verbose=True,
|
||||
# process=Process.hierarchical, # In case you wanna use that instead https://docs.crewai.com/how-to/Hierarchical/
|
||||
)
|
||||
)
|
||||
|
||||
@@ -1,7 +1,11 @@
|
||||
#!/usr/bin/env python
|
||||
import sys
|
||||
import warnings
|
||||
|
||||
from {{folder_name}}.crew import {{crew_name}}Crew
|
||||
|
||||
warnings.filterwarnings("ignore", category=SyntaxWarning, module="pysbd")
|
||||
|
||||
# This main file is intended to be a way for you to run your
|
||||
# crew locally, so refrain from adding unnecessary logic into this file.
|
||||
# Replace with inputs you want to test with, it will automatically
|
||||
|
||||
Reference in New Issue
Block a user