Developers use Claude Code, Codex, OpenCode, or Pi, with FAgent providing a controlled integration path. Enterprises standardize identity, access, and operational guardrails rather than mandating a single agent experience.
A desktop runtime, integrating with supported coding harnesses.
A CLI target for headless and sandbox execution: a sandbox starts with an authorized FAgent CLI configuration.
Identity and authorization capabilities built on the Ory stack.
The engineer authenticates using the enterprise-approved identity flow.
FIdentity supplies or validates the relevant machine or agent identity context through the configured flow.
The enterprise AI gateway that authorizes and routes requests to approved model endpoints and captures usage and cost attribution.
FGateway can expose approved frontier, open-weight, and private model endpoints to compatible coding harnesses. This creates a route to enterprise model experimentation without forcing a new employee workflow.
Claude Code on an approved open-weight endpoint is the signature demonstration, shown in a walkthrough once the end-to-end run is verified for the specific harness version and model.
Gateway telemetry can reveal routed request volume, model and provider selection, latency, failures, tokens where supplied, and attributable costs. FAgent adds harness-side observability where supported.
Visibility across connected AI coding workflows: coverage depends on supported harness integrations and traffic sent through FGateway, and granularity depends on provider usage data and the configured organization mapping.
Start with one engineering team already trialing coding agents. FDeploy's forward-deployed engineers can help connect the first team and implement the approved routes and policies.
Roll out FAgent across selected devices and sandbox environments.
Define which identities and teams can access which approved models or routes.
Inspect model usage, denied and allowed activity, errors, routing, and costs.
Refine entitlements and approved models based on actual usage.
No. It is designed to work with supported existing coding harnesses, so developers can keep their preferred experience while using an enterprise-managed access path.
This is a signature use case being validated. FGateway can route to configured open-weight endpoints, but compatibility depends on the harness version, API adaptation, and the target model's capabilities.
No. Coverage depends on supported harness integrations and traffic sent through FGateway. Telemetry collection follows enterprise privacy, retention, and security policy.
FAgent includes a CLI target intended for headless and sandbox deployment. Individual sandbox environments and identity flows are tested as part of onboarding.
Attribution is an intended core FGateway function using available identity, usage, and route metadata. Granularity and accuracy depend on provider usage data and the configured organization mapping.
No. FGateway handles centralized AI routing and attribution; FAgent connects developer environments; FIdentity provides identity and authorization foundations. The value is the integrated control model.
FGateway is the authoritative enforcement point for traffic it handles; FAgent can configure or enforce supported local controls. FDeploy cannot guarantee enforcement over tools or traffic outside its integration boundary.
The immediate solution is designed to be cloud-neutral and model-provider agnostic. Provider connections and deployment options are validated for each enterprise environment.
Handling depends on endpoint configuration, routing policy, and telemetry settings. We walk through security, retention, encryption, and data-residency for your actual deployment.
Give engineers flexibility without giving up enterprise control. See Claude Code connect through FAgent to an authorized FGateway route, with the resulting trace and attributed usage.