​TrueFoundry Agent Harness: Build Production-Ready AI Agents

​AI agents are easy to demo and hard to operate. Once an agent touches real users, tools, data, budgets, and internal systems, the hard problems become routing, permissions, tracing, retries, evals, guardrails, and deployment.

​Join TrueFoundry and HackerSquad for an evening workshop on the "agent harness": the control layer around an agent that helps teams connect models and tools, observe every step, route and fallback when providers fail, manage cost and quotas, and enforce policies before an agent acts.

​TrueFoundry's AI Gateway, Agent Gateway, and MCP Gateway will frame the night. We will focus on the infrastructure patterns teams need when they move from agent prototypes toward production systems: model routing, tool access, MCP workflows, observability, reliable execution, budget controls, and governance.

​This is a technical builder session, not a passive product pitch. Bring a laptop and come ready to think through how your agent would behave under real production constraints.

​Why This Gets Hard in Production

• ​An agent harness has to coordinate models, tools, permissions, memory, context, retries, and fallbacks without turning into a brittle pile of one-off glue code.

• ​Production teams need traces, audit logs, usage visibility, cost attribution, and eval loops so they can understand what an agent did, why it did it, and what changed between runs.

• ​Scaling agents means managing quotas, budgets, latency, provider failures, tool access, and security policies across teams instead of trusting a single prototype workflow.

• ​Guardrails have to become runtime controls, not just prompt instructions: teams need clear rules for what data an agent can see, which tools it can call, which actions require human approval, and how unsafe requests or outputs get blocked, logged, or escalated.

• ​Deployment gets harder when agents need to run inside existing infrastructure, connect to internal systems, respect governance rules, and stay reliable as usage grows.

​Who Should Apply

• ​Platform, infrastructure, and backend engineers building or operating AI agent systems

• ​AI engineers and product engineers working with LLMs, tool calling, MCP, evals, or agent workflows

• ​Technical founders moving agent prototypes toward production

• ​Security, DevOps, and ML platform practitioners thinking about governance, observability, and cost control

• ​Builders who want a practical view into model routing, fallbacks, tracing, quotas, and controlled tool execution

​What We Will Cover

• ​How to think about an agent harness as the production layer around an agent

• ​How model routing, retries, and fallbacks keep AI applications resilient

• ​How MCP tool access changes the security and observability needs for agent systems

• ​How to trace agent steps, model calls, tool invocations, retries, latency, usage, and cost

• ​How quotas, RBAC, policies, and guardrails help teams deploy agents with more confidence

​Schedule

• ​5:00 PM - Doors, food, and networking

• ​5:30 PM - Welcome from HackerSquad and TrueFoundry

• ​5:40 PM - TrueFoundry technical framing around the Agent Harness

• ​5:45PM - Hands-on walkthrough, demo, or builder showcase

• ​6:30 PM - Build your own agents!

• ​7:30 PM - Showcase your agents in action

​Bring

• ​A laptop

• ​An agent workflow, prototype, or use case you want to harden

• ​Questions about model gateways, MCP tools, observability, cost controls, deployment, or agent governance

​Admission is free and approval-based because space is limited. The exact San Francisco venue and arrival details will be shared with approved attendees once the venue path is confirmed.

​When: Tuesday, August 18, 2026 | 5:00 PM - 8:30 PM PT

​Where: AWS Builders Loft - San Francisco, CA