Model components in Langflow

Model components generate text using large language models.

Refer to your specific component's documentation for more information on parameters.

Use a model component in a flow

Model components receive inputs and prompts for generating text, and the generated text is sent to an output component.

The model output can also be sent to the Language Model port and on to a Parse Data component, where the output can be parsed into structured Data objects.

This example has the OpenAI model in a chatbot flow. For more information, see the Basic prompting flow.

AI/ML API

This component creates a ChatOpenAI model instance using the AIML API.

For more information, see AIML documentation.

Inputs

Name	Type	Description
max_tokens	Integer	The maximum number of tokens to generate. Set to 0 for unlimited tokens. Range: 0-128000.
model_kwargs	Dictionary	Additional keyword arguments for the model.
model_name	String	The name of the AIML model to use. Options are predefined in AIML_CHAT_MODELS.
aiml_api_base	String	The base URL of the AIML API. Defaults to https://api.aimlapi.com.
api_key	SecretString	The AIML API Key to use for the model.
temperature	Float	Controls randomness in the output. Default: 0.1.
seed	Integer	Controls reproducibility of the job.

Outputs

Name	Type	Description
model	LanguageModel	An instance of ChatOpenAI configured with the specified parameters.

Amazon Bedrock

This component generates text using Amazon Bedrock LLMs.

For more information, see Amazon Bedrock documentation.

Inputs

Name	Type	Description
model_id	String	The ID of the Amazon Bedrock model to use. Options include various models.
aws_access_key	SecretString	AWS Access Key for authentication.
aws_secret_key	SecretString	AWS Secret Key for authentication.
credentials_profile_name	String	Name of the AWS credentials profile to use (advanced).
region_name	String	AWS region name. Default: us-east-1.
model_kwargs	Dictionary	Additional keyword arguments for the model (advanced).
endpoint_url	String	Custom endpoint URL for the Bedrock service (advanced).

Outputs

Name	Type	Description
model	LanguageModel	An instance of ChatBedrock configured with the specified parameters.

Anthropic

This component allows the generation of text using Anthropic Chat and Language models.

For more information, see the Anthropic documentation.

Inputs

Name	Type	Description
max_tokens	Integer	The maximum number of tokens to generate. Set to 0 for unlimited tokens. Default: 4096.
model	String	The name of the Anthropic model to use. Options include various Claude 3 models.
anthropic_api_key	SecretString	Your Anthropic API key for authentication.
temperature	Float	Controls randomness in the output. Default: 0.1.
anthropic_api_url	String	Endpoint of the Anthropic API. Defaults to https://api.anthropic.com if not specified (advanced).
prefill	String	Prefill text to guide the model's response (advanced).

Outputs

Name	Type	Description
model	LanguageModel	An instance of ChatAnthropic configured with the specified parameters.

Azure OpenAI

This component generates text using Azure OpenAI LLM.

For more information, see the Azure OpenAI documentation.

Inputs

Name	Display Name	Info
Model Name	Model Name	Specifies the name of the Azure OpenAI model to be used for text generation.
Azure Endpoint	Azure Endpoint	Your Azure endpoint, including the resource.
Deployment Name	Deployment Name	Specifies the name of the deployment.
API Version	API Version	Specifies the version of the Azure OpenAI API to be used.
API Key	API Key	Your Azure OpenAI API key.
Temperature	Temperature	Specifies the sampling temperature. Defaults to 0.7.
Max Tokens	Max Tokens	Specifies the maximum number of tokens to generate. Defaults to 1000.
Input Value	Input Value	Specifies the input text for text generation.
Stream	Stream	Specifies whether to stream the response from the model. Defaults to False.

Cohere

This component generates text using Cohere's language models.

For more information, see the Cohere documentation.

Inputs

Name	Display Name	Info
Cohere API Key	Cohere API Key	Your Cohere API key.
Max Tokens	Max Tokens	Specifies the maximum number of tokens to generate. Defaults to 256.
Temperature	Temperature	Specifies the sampling temperature. Defaults to 0.75.
Input Value	Input Value	Specifies the input text for text generation.

Google Generative AI

This component generates text using Google's Generative AI models.

For more information, see the Google Generative AI documentation.

Inputs

Name	Display Name	Info
Google API Key	Google API Key	Your Google API key to use for the Google Generative AI.
Model	Model	The name of the model to use, such as "gemini-pro".
Max Output Tokens	Max Output Tokens	The maximum number of tokens to generate.
Temperature	Temperature	Run inference with this temperature.
Top K	Top K	Consider the set of top K most probable tokens.
Top P	Top P	The maximum cumulative probability of tokens to consider when sampling.
N	N	Number of chat completions to generate for each prompt.

Groq

This component generates text using Groq's language models.

For more information, see the Groq documentation.

Inputs

Name	Type	Description
groq_api_key	SecretString	API key for the Groq API.
groq_api_base	String	Base URL path for API requests. Default: https://api.groq.com (advanced).
max_tokens	Integer	The maximum number of tokens to generate (advanced).
temperature	Float	Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.1.
n	Integer	Number of chat completions to generate for each prompt (advanced).
model_name	String	The name of the Groq model to use. Options are dynamically fetched from the Groq API.

Outputs

Name	Type	Description
model	LanguageModel	An instance of ChatGroq configured with the specified parameters.

Hugging Face API

This component generates text using Hugging Face's language models.

For more information, see the Hugging Face documentation.

Inputs

Name	Display Name	Info
Endpoint URL	Endpoint URL	The URL of the Hugging Face Inference API endpoint.
Task	Task	Specifies the task for text generation.
API Token	API Token	The API token required for authentication.
Model Kwargs	Model Kwargs	Additional keyword arguments for the model.
Input Value	Input Value	The input text for text generation.

Maritalk

This component generates text using Maritalk LLMs.

For more information, see Maritalk documentation.

Inputs

Name	Type	Description
max_tokens	Integer	The maximum number of tokens to generate. Set to 0 for unlimited tokens. Default: 512.
model_name	String	The name of the Maritalk model to use. Options: sabia-2-small, sabia-2-medium. Default: sabia-2-small.
api_key	SecretString	The Maritalk API Key to use for authentication.
temperature	Float	Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.5.
endpoint_url	String	The Maritalk API endpoint. Default: https://api.maritalk.com.

Outputs

Name	Type	Description
model	LanguageModel	An instance of ChatMaritalk configured with the specified parameters.

Mistral

This component generates text using MistralAI LLMs.

For more information, see Mistral AI documentation.

Inputs

Name	Type	Description
max_tokens	Integer	The maximum number of tokens to generate. Set to 0 for unlimited tokens (advanced).
model_name	String	The name of the Mistral AI model to use. Options include open-mixtral-8x7b, open-mixtral-8x22b, mistral-small-latest, mistral-medium-latest, mistral-large-latest, and codestral-latest. Default: codestral-latest.
mistral_api_base	String	The base URL of the Mistral API. Defaults to https://api.mistral.ai/v1 (advanced).
api_key	SecretString	The Mistral API Key to use for authentication.
temperature	Float	Controls randomness in the output. Default: 0.5.
max_retries	Integer	Maximum number of retries for API calls. Default: 5 (advanced).
timeout	Integer	Timeout for API calls in seconds. Default: 60 (advanced).
max_concurrent_requests	Integer	Maximum number of concurrent API requests. Default: 3 (advanced).
top_p	Float	Nucleus sampling parameter. Default: 1 (advanced).
random_seed	Integer	Seed for random number generation. Default: 1 (advanced).
safe_mode	Boolean	Enables safe mode for content generation (advanced).

Outputs

Name	Type	Description
model	LanguageModel	An instance of ChatMistralAI configured with the specified parameters.

NVIDIA

This component generates text using NVIDIA LLMs.

For more information, see NVIDIA AI documentation.

Inputs

Name	Type	Description
max_tokens	Integer	The maximum number of tokens to generate. Set to 0 for unlimited tokens (advanced).
model_name	String	The name of the NVIDIA model to use. Default: mistralai/mixtral-8x7b-instruct-v0.1.
base_url	String	The base URL of the NVIDIA API. Default: https://integrate.api.nvidia.com/v1.
nvidia_api_key	SecretString	The NVIDIA API Key for authentication.
temperature	Float	Controls randomness in the output. Default: 0.1.
seed	Integer	The seed controls the reproducibility of the job (advanced). Default: 1.

Outputs

Name	Type	Description
model	LanguageModel	An instance of ChatNVIDIA configured with the specified parameters.

Ollama

This component generates text using Ollama's language models.

For more information, see Ollama documentation.

Inputs

Name	Display Name	Info
Base URL	Base URL	Endpoint of the Ollama API.
Model Name	Model Name	The model name to use.
Temperature	Temperature	Controls the creativity of model responses.

OpenAI

This component generates text using OpenAI's language models.

For more information, see OpenAI documentation.

Inputs

Name	Type	Description
api_key	SecretString	Your OpenAI API Key.
model	String	The name of the OpenAI model to use. Options include "gpt-3.5-turbo" and "gpt-4".
max_tokens	Integer	The maximum number of tokens to generate. Set to 0 for unlimited tokens.
temperature	Float	Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.7.
top_p	Float	Controls the nucleus sampling. Range: [0.0, 1.0]. Default: 1.0.
frequency_penalty	Float	Controls the frequency penalty. Range: [0.0, 2.0]. Default: 0.0.
presence_penalty	Float	Controls the presence penalty. Range: [0.0, 2.0]. Default: 0.0.

Outputs

Name	Type	Description
model	LanguageModel	An instance of OpenAI model configured with the specified parameters.

Qianfan

This component generates text using Qianfan's language models.

For more information, see Qianfan documentation.

Perplexity

This component generates text using Perplexity's language models.

For more information, see Perplexity documentation.

Inputs

Name	Type	Description
model_name	String	The name of the Perplexity model to use. Options include various Llama 3.1 models.
max_output_tokens	Integer	The maximum number of tokens to generate.
api_key	SecretString	The Perplexity API Key for authentication.
temperature	Float	Controls randomness in the output. Default: 0.75.
top_p	Float	The maximum cumulative probability of tokens to consider when sampling (advanced).
n	Integer	Number of chat completions to generate for each prompt (advanced).
top_k	Integer	Number of top tokens to consider for top-k sampling. Must be positive (advanced).

Outputs

Name	Type	Description
model	LanguageModel	An instance of ChatPerplexity configured with the specified parameters.

SambaNova

This component generates text using SambaNova LLMs.

For more information, see Sambanova Cloud documentation.

Inputs

Name	Type	Description
sambanova_url	String	Base URL path for API requests. Default: https://api.sambanova.ai/v1/chat/completions.
sambanova_api_key	SecretString	Your SambaNova API Key.
model_name	String	The name of the Sambanova model to use. Options include various Llama models.
max_tokens	Integer	The maximum number of tokens to generate. Set to 0 for unlimited tokens.
temperature	Float	Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.07.

Outputs

Name	Type	Description
model	LanguageModel	An instance of SambaNova model configured with the specified parameters.

VertexAI

This component generates text using Vertex AI LLMs.

For more information, see Google Vertex AI documentation.

Inputs

Name	Type	Description
credentials	File	JSON credentials file. Leave empty to fallback to environment variables. File type: JSON.
model_name	String	The name of the Vertex AI model to use. Default: "gemini-1.5-pro".
project	String	The project ID (advanced).
location	String	The location for the Vertex AI API. Default: "us-central1" (advanced).
max_output_tokens	Integer	The maximum number of tokens to generate (advanced).
max_retries	Integer	Maximum number of retries for API calls. Default: 1 (advanced).
temperature	Float	Controls randomness in the output. Default: 0.0.
top_k	Integer	The number of highest probability vocabulary tokens to keep for top-k-filtering (advanced).
top_p	Float	The cumulative probability of parameter highest probability vocabulary tokens to keep for nucleus sampling. Default: 0.95 (advanced).
verbose	Boolean	Whether to print verbose output. Default: False (advanced).

Outputs

Name	Type	Description
model	LanguageModel	An instance of ChatVertexAI configured with the specified parameters.

Novita AI

This component generates text using Novita AI's language models.

For more information, see Novita AI documentation.

Parameters

Inputs

Name	Type	Description
api_key	SecretString	Your Novita AI API Key.
model	String	The id of the Novita AI model to use.
max_tokens	Integer	The maximum number of tokens to generate. Set to 0 for unlimited tokens.
temperature	Float	Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.7.
top_p	Float	Controls the nucleus sampling. Range: [0.0, 1.0]. Default: 1.0.
frequency_penalty	Float	Controls the frequency penalty. Range: [0.0, 2.0]. Default: 0.0.
presence_penalty	Float	Controls the presence penalty. Range: [0.0, 2.0]. Default: 0.0.