Models API

from agno.models.openai import OpenAIChat, OpenAILike

class OpenAIChat:
    def __init__(
        self,
        id: str = "gpt-4",
        api_key: Optional[str] = None,
        organization: Optional[str] = None,
        base_url: Optional[str] = None,
        **kwargs
    ): ...

class OpenAILike:
    """For OpenAI-compatible APIs"""
    def __init__(
        self,
        id: str,
        api_key: Optional[str] = None,
        base_url: str,
        **kwargs
    ): ...

from agno.models.anthropic import Claude

class Claude:
    def __init__(
        self,
        id: str = "claude-3-5-sonnet-20241022",
        api_key: Optional[str] = None,
        **kwargs
    ): ...

from agno.models.google import Gemini

class Gemini:
    def __init__(
        self,
        id: str = "gemini-2.0-flash-exp",
        api_key: Optional[str] = None,
        **kwargs
    ): ...

from agno.models.aws import AwsBedrock, Claude as BedrockClaude

class AwsBedrock:
    def __init__(
        self,
        id: str,
        region_name: Optional[str] = None,
        aws_access_key_id: Optional[str] = None,
        aws_secret_access_key: Optional[str] = None,
        **kwargs
    ): ...

from agno.models.azure import AzureOpenAI, AzureAIFoundry

class AzureOpenAI:
    def __init__(
        self,
        id: str,
        api_key: Optional[str] = None,
        azure_endpoint: Optional[str] = None,
        azure_deployment: Optional[str] = None,
        api_version: str = "2024-08-01-preview",
        **kwargs
    ): ...

# Groq
from agno.models.groq import Groq

# Ollama (local models)
from agno.models.ollama import Ollama

# Cohere
from agno.models.cohere import Cohere

# Mistral
from agno.models.mistral import MistralChat

# Meta Llama
from agno.models.meta import Llama, LlamaOpenAI

# DeepSeek
from agno.models.deepseek import DeepSeek

# Perplexity
from agno.models.perplexity import Perplexity

# VLLM
from agno.models.vllm import VLLM

# Llama.cpp
from agno.models.llama_cpp import LlamaCpp

# LM Studio
from agno.models.lmstudio import LMStudio

from agno.agent import Agent
from agno.models.openai import OpenAIChat

agent = Agent(
    model=OpenAIChat(
        id="gpt-4",
        api_key="your-api-key"
    )
)

from agno.agent import Agent
from agno.models.anthropic import Claude

agent = Agent(
    model=Claude(
        id="claude-3-5-sonnet-20241022",
        api_key="your-api-key"
    )
)

from agno.agent import Agent
from agno.models.ollama import Ollama

agent = Agent(
    model=Ollama(
        id="llama2",
        host="http://localhost:11434"
    )
)

from agno.models.openai import OpenAIChat

model = OpenAIChat(
    id="gpt-4",
    temperature=0.7,
    max_tokens=1000,
    top_p=0.9,
    frequency_penalty=0.0,
    presence_penalty=0.0,
    response_format={"type": "json_object"}
)