What Portkey Is
Portkey is a full-featured AI gateway and observability platform. It sits in front of your LLM calls and provides routing, caching, guardrails, rate limiting, and cost tracking across more than 50 LLM providers — OpenAI, Anthropic, Azure, Bedrock, Cohere, and dozens more. Teams that use multiple models, or want to swap providers without changing application code, get real value from it.
Portkey’s strongest features are provider flexibility and developer experience: three-line integration, semantic caching that reduces duplicate LLM calls, and a prompt management studio where non-engineers can update prompts without code deploys.
What’s Different
The fundamental difference is orientation: Portkey is provider-centric (routing across many models) while Sentrely is agent-centric (governing what Claude Code agents can do in production).
This gap shows up concretely in how each product handles the problems that matter most when running autonomous agents:
Policy enforcement. Portkey’s access controls operate at the API key and workspace level — which users can call which models. Sentrely’s RBAC operates at the per-agent, per-resource level: claude-deploy-01 can push to feature/* branches but not main, can read from s3://acme/reports/* but not write, can call Stripe’s read API but not charges:create. These are fundamentally different control surfaces.
Human-in-the-loop approvals. When a Claude agent wants to push to a production branch, delete a database record, or send an email to 10,000 customers, you need a human to approve it before it executes. Sentrely has built-in Slack and Telegram approval workflows for exactly this. Portkey has no equivalent — it doesn’t gate individual agent operations on human review.
Agent identity. Sentrely assigns each Claude agent its own identity with its own credential and policy. Every audit log entry tells you which specific agent did what. Portkey tracks by virtual key, which is closer to team-level attribution than per-agent attribution.
Compliance audit trail. Sentrely’s audit logs are designed specifically for SOC 2 and HIPAA auditors — immutable, structured, exportable, with field-level detail auditors require. Portkey’s logs are primarily for debugging and cost optimization, not external audit evidence.
The Comparison Table
| Capability | Portkey | Sentrely |
|---|---|---|
| LLM provider support | 50+ (OpenAI, Claude, Gemini, Mistral, etc.) | Claude Code focused |
| Semantic caching | Yes — cuts duplicate call costs | No |
| Prompt management studio | Yes — non-engineers update prompts | No |
| Per-agent RBAC | No — key/workspace level only | Yes — per-agent, per-resource policies |
| Human approval gates | No | Yes — Slack + Telegram |
| Immutable audit trail | No — logs for debugging/cost | Yes — designed for compliance auditors |
| Claude Code agent integration | Generic LLM gateway | Purpose-built for Claude Code |
| Token budgets (per session) | Rate limiting + spend tracking | Hard per-session budget caps |
| Session kill switch | No | Yes |
| A2A messaging | No | Yes |
| Multi-agent orchestration | No | Yes |
| Pricing | From $59.99/mo | Starter $49/mo |
When Portkey Is the Right Choice
- Your team uses multiple LLM providers and wants a single gateway for all of them
- You want to swap from OpenAI to Claude without changing application code
- Semantic caching matters for your use case (high-volume repetitive queries)
- A prompt management studio for non-technical stakeholders is a priority
- Your control needs are at the team/workspace level, not per-agent
When Sentrely Is the Right Choice
- You’re running Claude Code agents in production against real infrastructure
- Individual agents need different permission scopes (deployment agent vs. code review agent)
- Certain agent operations require human sign-off before executing
- You need to pass a SOC 2 or HIPAA audit that covers AI agent operations
- You need to prove to an auditor exactly which agent did what and when
Can You Use Both?
In theory — Portkey as the LLM routing layer, Sentrely as the agent governance layer. In practice, the overlap is substantial enough that most teams choose one. If Claude is your primary model and agent governance is your priority, Sentrely handles both. If multi-provider flexibility is the priority and governance is secondary, Portkey is the stronger starting point.
The underlying question: are you solving a provider routing problem or an agent governance problem? They look similar from the outside but lead to very different product needs.