Turn scattered API keys into one
Platform teams inherit the chaos of every team bringing its own keys, providers, and SDKs. Igris consolidates that sprawl into one gateway with central control, full cost visibility per team, and guardrails that let every other team keep moving fast, without a single application code change.
Centralized LLM Gateway
Eight teams, each managing their own provider keys, paying separately, using different SDKs, operating with no shared visibility. The platform team has no way to enforce standards, no consolidated cost view, and no control over which providers or models anyone is actually using. When something goes wrong, there is no single place to look. A centralized LLM gateway solves what scattered API keys structurally cannot.
Igris becomes the single company wide LLM gateway. The platform team creates one connection per provider with centralized credentials, each team receives an Igris API key, and nobody ever sees the actual provider key. Teams switch over with a single line change to their SDK configuration: same interface, same endpoint format, different key. From there, the platform team decides exactly which providers and models each team can access, with full usage visibility across every connection in one dashboard.
Provider sprawl becomes a governed platform. Teams keep moving at the same speed. The platform team gets a single place to see, control, and audit everything flowing to every LLM, without owning every team's individual setup.
Cost Allocation by Team and Project
Finance asks how much each team is spending on LLMs. You do not have a clean answer. Costs are split across multiple provider dashboards, some teams share keys, and there is no reliable way to tie spending back to a specific project or cost center without a spreadsheet and a lot of manual reconciliation. LLM cost allocation by team is impossible without a unified gateway that tracks usage at the connection level.
Each team or project gets its own connection in Igris. Every connection tracks requests, cost, tokens in and out, latency, and error rate in real time, broken down per connection, per provider, and per model. Set budget caps directly on each connection: an alert at $500/day, a hard block at $1,000. Export the metrics for internal chargeback to each team's cost center. No cross referencing multiple dashboards. No spreadsheet required.
Finance gets a clean answer. Engineering gets accountability. Budget overruns get caught before they happen, not discovered at the end of the billing cycle when the damage is already done.
Rate Limiting and Abuse Prevention
A misconfigured agent fires 50,000 requests in a minute. By the time your on call engineer gets the provider's billing alert, the damage is already done. There is no circuit breaker, no early warning, and no way to have caught it before the cost showed up on next month's invoice. Without LLM rate limiting at the gateway layer, a single runaway process creates significant financial exposure before any human intervenes.
Igris stacks several protections on every connection simultaneously. Rate limits cap requests per minute. Cost anomaly detection raises an alert when a single call or short session crosses a spending threshold. Token burn detection fires when output tokens spike within a short window. Error rate monitoring flags any connection where the majority of calls are failing. All of this runs automatically, before the platform team even knows there is a problem, the connection is already throttled or blocked.
A buggy agent becomes an alert and a blocked connection, not a four figure line item on next month's cloud bill. You catch the problem at the infrastructure layer, before it reaches anyone's budget.
Zero Downtime Provider Migration
Migrating from one LLM provider to another usually means coordinating changes across every team that makes API calls, different SDKs, different endpoint formats, different credential management. It is weeks of cross team coordination work, with real risk of something breaking in production mid rollout. Zero downtime LLM provider migration is not achievable without a gateway that abstracts provider details from application code entirely.
The platform team creates a new connection for the new provider in Igris and updates the provider and credential settings on the gateway. Application code across all teams stays exactly the same, same endpoint, same Igris API key, same SDK. Monitor cost and latency on the new connection in real time to validate expected savings. If anything looks wrong, switch back to the previous connection instantly. The SDK adapter pattern keeps every team fully decoupled from the underlying provider at all times.
Provider migration goes from a multi week cross team coordination effort to a single configuration change. Teams never notice the switch. You validate the new provider in production and roll back in seconds if needed, no code deployment required.
Credential Rotation and Key Management
A provider API key may have been exposed. Every minute it stays active is risk. Rotating it manually means tracking down every place it is used, coordinating with multiple teams, updating credentials across different services, and hoping nothing breaks or gets missed in the process. Under pressure, that process takes hours. Enterprise LLM credential management cannot depend on manual, team by team rotation that creates new windows of exposure every step of the way.
Igris rotates the credential with a single API call. The new key is immediately encrypted with AES 256 GCM using a fresh initialization vector. The key version is incremented for the audit trail. The cache is invalidated so the new key takes effect on the very next request, not the next deployment, not after a service restart. Teams experience zero downtime and never see the change happen. The audit trail records who rotated the key, when it happened, and which connection was affected.
A potential credential compromise becomes a two minute response, not a multi hour incident. One call. Zero downtime. Full audit trail. Every team protected simultaneously, without a single Slack message asking for status.
Self Service Connection Provisioning With Guardrails
The platform team is the bottleneck. Every new team that wants to use an LLM submits a provisioning request, waits for manual approval, and gets set up one by one. You want teams to move faster, but handing out unrestricted access means losing control of costs, model usage, and data handling overnight. Self service LLM provisioning requires guardrails that enforce governance without creating a new approval bottleneck that defeats the purpose.
Teams create their own connections through the Igris API, but every new connection starts in a deny by default state and operates inside guardrails the platform team defines centrally. Policies restrict teams to approved models only, enforce rate limits, switch on PII redaction automatically, and cap request body retention based on plan limits. The platform team reviews every connection in the dashboard, enables or disables any connection with a single toggle, and receives webhook alerts on any policy violation, without being in the critical path of every individual provisioning request.
Teams get the autonomy to move fast. The platform team keeps full control without becoming a permanent bottleneck. New connections go live inside guardrails, not outside them.
Consolidate every LLM call behind one gateway
See how platform teams provision connections, allocate cost by team, and rotate credentials across the company with one API call.