Configuration
DeepNext supports multiple LLM providers and can be configured to use different models for different stages of the pipeline.
LLM Configuration
DeepNext supports the following LLM providers:
- OpenAI
- AWS Bedrock (Claude, Mistral, and others)
Create an llm-config.yaml file based on the example provided to configure model preferences for each pipeline stage:
# Example configuration - customize to your needs
provider: bedrock # Options: openai, bedrock
model: anthropic.claude-3-sonnet-20240229-v1:0
# For different stages you can specify different models
action_plan:
provider: openai
model: gpt-4o
Environment Variables
For tracking and metrics, DeepNext integrates with LangSmith. Set up your credentials in the .env file.
# OpenAI access
OPENAI_API_KEY=...
# AWS Bedrock access
AWS_ACCESS_KEY_ID=...
AWS_SECRET_ACCESS_KEY=...
Advanced Configuration
See the llm-config-example.yaml file for more detailed configuration options.