Agents
Compose multi-step agents with handoffs, tool scopes, retry windows, and typed outputs that survive real customer traffic.
SYNAPSE gives production teams one control plane for tool calling, memory, eval gates, release controls, and observable agent workflows.
Fictional teams shipping agentic workflows with SYNAPSE
Design workflows, test behavior, connect tools, persist memory, enforce policy, and observe every run without gluing six dashboards together.
Compose multi-step agents with handoffs, tool scopes, retry windows, and typed outputs that survive real customer traffic.
Run regression suites against golden datasets before each release. Track helpfulness, refusal quality, cost, and latency by model.
const agent = synapse.agent({
model: "synapse-1-pro",
tools: ["crm.lookup", "billing.refund"],
memory: "workspace.customer360",
guardrail: "enterprise-safe"
});
Register APIs once, then expose least-privilege actions to agents with audit logs on every invocation.
Attach vector, profile, and session memory with retention controls so agents remember useful context without leaking sensitive data.
Block unsafe outputs, require human approval on high-risk actions, and version policies alongside your agent releases.
Replay traces, compare model branches, and inspect token spend from request intake to final tool result.
Every number below is fictional for this demo, but the operating model is concrete: latency budgets, throughput planning, and uptime visibility.
Start with a hosted playground, then add eval capacity, tool governance, and observability when agents become business-critical.
For prototypes and internal assistants.
For teams shipping customer-facing agents.
For regulated workflows and custom routing.
Open the full playground to tune model settings, stream a conversation, and copy a live curl request that matches the current run configuration.
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