Question 1

Is Forgebench for developers or for agents?

Accepted Answer

Is Forgebench for developers or for agents?

Both, on one deployment. Credential issuance, budgets, rate limits, guardrails, attribution and the audit record govern every consumer of AI in the organization; agent registration, tool authorization and release safety are added on top of the same deployment when agents reach production.

Can we start with developers and add agents later? Or the other way around?

Does Forgebench build, deploy or orchestrate my agents?

Does Forgebench govern Cursor, Claude Code or Codex?

Which frameworks does it work with?

Do I have to replace my model gateway or observability stack?

How is this different from running an AI gateway?

Can I give every developer their own AI budget?

Can I see which developers, teams or agents are driving most of our LLM spend?

Can I charge model spend back to a team or use case?

Can I track each tool call an agent made?

Which models can it reach?

Can we run it against models inside our own perimeter?

Is it self-hosted or SaaS?

What happens when a credential hits its ceiling or a rate limit?

What stops a call from bypassing Forgebench?

Can the audit record be altered?

How does Forgebench handle PII, secrets and prompt injection?

What's the licensing position?

Question 2

Can we start with developers and add agents later? Or the other way around?

Accepted Answer

Yes. The credentials, ceilings, guardrails and record stay exactly as they are — nothing to migrate, and nothing to buy twice.

Question 3

Does Forgebench build, deploy or orchestrate my agents?

Accepted Answer

No. Forgebench governs what already runs. It doesn't build, deploy, host or orchestrate agents, and it doesn't restructure their logic.

Question 4

Does Forgebench govern Cursor, Claude Code or Codex?

Accepted Answer

Yes, your developer kit is metered at individual developer and team level for efficiency and style of usage against 5 parameters.

Question 5

Which frameworks does it work with?

Accepted Answer

Any. LangGraph, CrewAI, Microsoft's agent framework, or your own — connecting an agent is a one-time endpoint change.

Question 6

Do I have to replace my model gateway or observability stack?

Accepted Answer

No. Both arrive inside Forgebench, already wired to the registry, the ceilings and the record, so there's nothing to integrate between them.

Question 7

How is this different from running an AI gateway?

Accepted Answer

A gateway meters by key and only sees the calls that were routed to it, so the figure tells you what was spent and not who spent it. Forgebench holds the credential, the registry, the bindings and the record around that gateway, so the inventory, the spend figure and the audit trail are complete rather than partial.

Question 8

Can I give every developer their own AI budget?

Accepted Answer

Yes. Three hundred developers can be issued three hundred credentials in one pass, and a single budget can be split across models — a $300 monthly allowance can be $100 on one provider and $100 on another, so no one model consumes the whole allocation.

Question 9

Can I see which developers, teams or agents are driving most of our LLM spend?

Accepted Answer

Yes. Cost attributes to the credential, its owner, the team, the model and the use case as it is incurred, so the ranking is by name rather than by shared API key.

Question 10

Can I charge model spend back to a team or use case?

Accepted Answer

Yes. Because attribution happens as the cost is incurred rather than by splitting an invoice afterwards, the team is charged on actuals and the figure reconciles against the provider invoice.

Question 11

Can I track each tool call an agent made?

Accepted Answer

Yes. Tool calls and model calls land on the same record against the same credential, so you can see exactly which tools each agent called and when.

Question 12

Which models can it reach?

Accepted Answer

One interface reaches a frontier LLM API or a model inside your perimeter, and the same controls apply to both.

Question 13

Can we run it against models inside our own perimeter?

Accepted Answer

Yes. Forgebench is self-hosted in your own infrastructure and reaches in-perimeter models through the same interface as any provider.

Question 14

Is it self-hosted or SaaS?

Accepted Answer

Self-hosted, in your own infrastructure.

Question 15

What happens when a credential hits its ceiling or a rate limit?

Accepted Answer

Caps apply per developer, team, agent, feature and model, and whichever cap is reached first refuses the next call. A refused call never reaches a provider, so it costs nothing, and the owner named at issuance is warned on the way up rather than after the invoice.

Question 16

What stops a call from bypassing Forgebench?

Accepted Answer

No developer or agent holds a provider key of its own — each authenticates with a credential that belongs only to it, and every route to a provider runs through the control plane. A compromised consumer exposes a revocable credential rather than your model account.

Question 17

Can the audit record be altered?

Accepted Answer

Each entry is hash-linked to the one before it, so an entry that is edited or deleted is detectable. The chain is re-verifiable on demand.

Question 18

How does Forgebench handle PII, secrets and prompt injection?

Accepted Answer

Personal data, secrets and denylist checks are evaluated on every call and recorded off the response path — findings are flagged against the credential that made the call, and nothing is held or redacted mid-flight. Prompt-injection defence, jailbreak defence, content moderation and output-schema conformance stay with the model provider.

Question 19

What's the licensing position?

Accepted Answer

Every component is permissively licensed — no copyleft, no SSPL, no BSL, and no vendor commercial editions.

With Forgebench

Forgebench gives every developer, app and agent their own credential ceiling, and record — so you can see, live, every call that's touching AI, who owns it, what it costs, and how that cost can be optimized.

Build

Run

Control

One Console ToDrive Your ROI On AI

More Teams Building And Shipping On AI— Because Every New Consumer Is Bounded Before The First Call

Clear Mapping Of Developer Use To ROI — With Every Developer Session Scored For Efficiency And Mapped To PRs

Spend You Can Predict Before The Invoice — Because Every Dollar Has An Owner And A Ceiling Before It's Spent

AI Use You Can Prove — Because Every Call And Every Operator Action Lands On One Hash-Linked Record

Runs In Your Environment.
Proved And Signed-Off In 4 Weeks.

Integration

Identity & Tenancy

Security

Planning & Setup

Build & Govern

Review & Sign-off

Prove It On Your Own Workload.
Four Weeks, And Every Phase
Exits On Evidence.

All You Need to KnowAbout Forgebench