Agents

Configure and deploy autonomous AI agents to complete complex tasks for you. 

Agents will think of sub tasks and execute them.

Choose an AI model

Access the latest models through the VectorShift platform

OpenAI
Anthropic
Huggingface
Google
LLAMA
AWS
Mistral AI_

Choose an AI model

Access the latest models through the VectorShift platform

OpenAI
Anthropic
Huggingface
Google
LLAMA
AWS
Mistral AI_

Choose an AI model

Access the latest models through the VectorShift platform

OpenAI
Anthropic
Huggingface
Google
LLAMA
AWS
Mistral AI_

Give the agent tools

Give the agent tools

Give the agent tools

Equip your agent with pre-built tools or connect it to custom pipelines and databases. Tailor your agent's capabilities to match your unique workflow requirements.

Equip your agent with pre-built tools or connect it to custom pipelines and databases. Tailor your agent's capabilities to match your unique workflow requirements.

Equip your agent with pre-built tools or connect it to custom pipelines and databases. Tailor your agent's capabilities to match your unique workflow requirements.

Run the agent on your task

Run the agent on your task

Run the agent on your task

Witness your agent intelligently analyze tasks, utilizing the chosen AI model and tools to deliver precise and effective outcomes.

Witness your agent intelligently analyze tasks, utilizing the chosen AI model and tools to deliver precise and effective outcomes.

Witness your agent intelligently analyze tasks, utilizing the chosen AI model and tools to deliver precise and effective outcomes.

VectorShift Docs

Unlock advanced features and detailed guides in our extensive documentation.

pipeline_setup.py

from vectorshift.node import *

from vectorshift.pipeline import *

file_node = InputNode(name='file_input', input_type='file')

model_text_node = TextNode(text='Describe this file to me.')

llm_node = OpenAI_LLMNode(

model='gpt-4.0-turbo',

system_input=model_text_node.output(),

prompt_input=fileloader_node.output()

)


output_node = OutputNode(

name='my_output',

output_type='text',

input=llm_node.output()

)

VectorShift Docs

Unlock advanced features and detailed guides in our extensive documentation.

pipeline_setup.py

from vectorshift.node import *

from vectorshift.pipeline import *

file_node = InputNode(name='file_input', input_type='file')

model_text_node = TextNode(text='Describe this file to me.')

llm_node = OpenAI_LLMNode(

model='gpt-4.0-turbo',

system_input=model_text_node.output(),

prompt_input=fileloader_node.output()

)


output_node = OutputNode(

name='my_output',

output_type='text',

input=llm_node.output()

)

Get started today

Contact Sales

Get started today

Contact Sales

© 2023 VectorShift, Inc. All Rights Reserved.

© 2023 VectorShift, Inc. All Rights Reserved.

© 2023 VectorShift, Inc. All Rights Reserved.