World Congress 2025 Aug 20, 2025 Session details

One AI API to Power Them All

Roberto Carratalá

A fragmented AI ecosystem doesn't have to slow down your multi-agent architecture. Llama Stack acts as an open-source, universal API to deploy complex AI workflows without rewriting code.

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#1 about 5 min

Evolution and challenges of building AI applications

Transitioning from basic chatbots to multi-agent production configurations introduces severe workflow integration complexities.

#2 about 4 min

Unifying AI components with the Llama Stack API

A standardized modular API provides a streamlined pathway for assembling and deploying robust applications.

#3 about 3 min

Standardizing model inference and active safety guardrails

Intercepting generation payloads ensures secure communications across diverse local and remote language models.

#4 about 3 min

Hot-swapping components for retrieval augmented generation pipelines

Abstracting the retrieval process grants engineers the flexibility to replace vector databases without rewriting code.

#5 about 2 min

Integrating external tools via the Model Context Protocol

Adopting the Model Context Protocol establishes a universal standard for integrating external tools with agents.

#6 about 3 min

Orchestrating agent workflows and complex reasoning patterns

Orchestrating multi-step executions relies on utilizing reasoning frameworks like react and chain of thought.

#7 about 4 min

Tracing agent telemetry with OpenTelemetry and Jaeger tools

Exposing granular execution spans via observability standards clarifies complex internal calls and network lags.

#8 about 5 min

Demonstrating local AI development and active safety shields

Running local container environments demonstrates agent tool capabilities and verifies active prompt safety shields.

#9 about 7 min

Deploying complex multi-agent application workflows to production clusters

Promoting a multi-tool agent system into live web environments demonstrates automated orchestration over diverse services.

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