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
LLAMA
AWS
Mistral AI_
Choose an AI model
Access the latest models through the VectorShift platform
OpenAI
Anthropic
Huggingface
LLAMA
AWS
Mistral AI_
Choose an AI model
Access the latest models through the VectorShift platform
OpenAI
Anthropic
Huggingface
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()
)
© 2023 VectorShift, Inc. All Rights Reserved.
© 2023 VectorShift, Inc. All Rights Reserved.
© 2023 VectorShift, Inc. All Rights Reserved.
