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Govern, monitor, and scale every agent you run.

Agent Management is the operational framework at the heart of PHTN.ai — governing an agent's entire existence, from design and deployment to monitoring, optimization, and retirement. One agent is easy. A fleet of agents touching production systems is an operations problem, and Agent Management treats it that way.

A lifecycle manager for a portfolio of agents

Deployment & orchestration

Release agents into production with provisioned resources and token budgets, wired into existing multi-agent systems through governed APIs.

Governance & compliance

Policies for data privacy, security, and behavior enforced at the platform level — access controls, audit logging, and guardrails.

Monitoring & observability

Centralized tracking of accuracy, latency, and resource consumption, with real-time logging and performance analytics.

Agent lifecycle hub connecting six operational capabilities

Versioning & rollback

Version control for agents. A/B test agent versions in production and revert to a stable version instantly if an update misbehaves.

Feedback & optimization

Performance data and user feedback drive continuous improvement — fine-tune, retrain, or retire underperformers.

Resource management

Allocate, monitor, and enforce limits on compute, memory, and LLM spend across every agent you run.

One catalog for everything agents need

Five versioned registries keep agents, models, prompts, tools, and knowledge governed and discoverable — the shared source of truth for the whole platform.

Agents

Agent metadata, capabilities, agent-to-agent cards, skills, and versions

01

Models

Model cards for 148 models across 14+ LLM providers, with health monitoring and circuit breakers

02

Prompts

Prompt templates, variables, model bindings, and test cases, with version control and A/B testing

03

Tools (MCP)

Tool definitions, connectors, and vault-backed credentials with sandboxed execution

04

Knowledge Bases

KB metadata, RAG pipelines, and document inventories with per-tenant vector isolation

05

Supported by three further registries: ontologies (156+ concepts, 48 object types), pre-built RAG pipeline templates, and 53+ alert rules across the observability pillars.

Built for how enterprises are actually organized

Eight levels of multi-tenancy — from group and tenant down to domain, project, team, and individual agent — so business units, departments, and subsidiaries share a platform without sharing data. 13+ enterprise roles and 106 fine-grained permissions enforce segregation of duties by design: the people who build agents are not the people who approve production deployments.

Identity, federated

Bring your identity provider — Microsoft Entra ID, Okta, or any OIDC, SAML, or OAuth 2.0 platform. Joiner-mover-leaver changes sync via SCIM.

Human-in-the-loop, built in

Approval gates are a first-class workflow node. Execution suspends at the gate; a reviewer approves, rejects, or modifies; execution resumes exactly where it left off.

Audit everything

Every invocation is logged — which agent, which tool, which parameters, what result, what cost — supporting access reviews and your audit calendar.

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