Plano

Key Features

• •Agent routing and orchestration enables multi-agent systems without framework lock-in, intelligently directing tasks to appropriate models or specialized agents for improved accuracy and workflow efficiency while supporting diverse AI frameworks and languages.
• •Rich agentic traces with Signals for trace sampling provide comprehensive observability for fast error analysis, offering detailed visibility into agent execution for performance monitoring, debugging, and behavior understanding in production environments.
• •Built-in guardrails and centralized security policies detect and block potential jailbreaks, applying consistent safety filters across all agent deployments to ensure secure and reliable AI interactions without compromising development velocity.
• •Smart model routing APIs for LLMs optimize resource utilization and performance by directing prompts to the most suitable language models based on configuration, cost, and capability requirements for different agentic scenarios.
• •Context engineering hooks with reusable filters enhance agent intelligence by applying consistent preprocessing and postprocessing logic across interactions, enabling smarter agent behavior through standardized context manipulation techniques.
• •On-premises deployment option provides full data control for regulated environments, allowing organizations in finance, healthcare, and government to deploy agentic applications while maintaining complete data sovereignty and compliance.
• •Programmable architecture built on Envoy proxy offers extensive customization capabilities while maintaining high performance for demanding AI workloads, enabling teams to tailor the infrastructure to their specific requirements and integration needs.
• •Simple configuration file approach creates a delightful developer experience by describing prompt types, required APIs for agentic scenarios, and LLM selections in one place, reducing setup complexity and accelerating development cycles.

Use Cases

• •Building customer support chatbots that route complex queries to specialized agents for billing, technical support, or general inquiries while maintaining consistent brand voice and safety guidelines through centralized policy enforcement.
• •Creating research assistants that orchestrate multiple agents for literature review, data analysis, and summarization, with Plano providing the traceability needed to validate information sources and reasoning chains across distributed AI components.
• •Deploying agentic trading systems in financial services with stringent compliance requirements, using on-premises deployment and centralized guardrails to ensure regulatory adherence while maintaining low-latency performance for time-sensitive decisions.
• •Developing multi-agent workflow systems for content creation where different agents handle research, drafting, editing, and fact-checking, with Plano managing the routing and observability across the entire creative pipeline.
• •Implementing reinforcement learning feedback loops for continuous agent improvement, using production signals gathered through Plano's observability layer to train and refine agent behavior based on real-world interaction data.
• •Standardizing AI infrastructure across enterprise teams building different agentic applications, providing consistent routing, security, and monitoring capabilities while allowing each team to use their preferred frameworks and development approaches.

Who is this for?

AI engineers and machine learning developers building agentic applications who need to move prototypes to production faster. Platform teams at companies standardizing AI infrastructure across multiple projects. Organizations in regulated industries requiring on-premises deployment options for data control. Product teams implementing reinforcement learning feedback loops for continuous agent improvement. Companies building multi-agent systems that require orchestration across different frameworks and languages.