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fix(www): links
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a6f9ca3594
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6 changed files with 15 additions and 15 deletions
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@ -13,7 +13,7 @@ const carouselData = [
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description:
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"Building agents is hard enough. The plumbing work shouldn't be. Plano handles routing, observability, and policy hooks as a models-native sidecar—so you can focus on your agent's core product logic and ship to production faster.",
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image: "/LaunchFaster.svg",
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link: "https://docs.plano.katanemo.com/getting-started/installation",
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link: "https://docs.planoai.dev/getting-started/installation",
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},
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{
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id: 2,
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@ -22,7 +22,7 @@ const carouselData = [
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description:
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"Build with multiple LLMs or model versions with a single unified API. Plano centralizes access controls, offers resiliency for traffic to 100+ LLMs -- all without you having to write a single line of code. Use existing libraries and proxy traffic through Plano.",
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image: "/BuildWithChoice.svg",
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link: "https://docs.plano.katanemo.com/getting-started/installation",
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link: "https://docs.planoai.dev/getting-started/installation",
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},
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{
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id: 3,
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@ -31,7 +31,7 @@ const carouselData = [
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description:
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"Knowing when agents fail or delight users is a critical signal that feeds into the reinforcement learning and optimization cycle. Plano makes this trivial by sampling hyper-rich information traces from live production agentic interactions so that you can improve agent performance faster.",
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image: "/Telemetry.svg",
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link: "https://docs.plano.katanemo.com/getting-started/installation",
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link: "https://docs.planoai.dev/getting-started/installation",
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},
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{
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id: 4,
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@ -40,7 +40,7 @@ const carouselData = [
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description:
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"Plano comes built-in with a state-of-the-art guardrail model you can use for things like jailbreak detection. But you can easily extend those capabilities via plano's agent filter chain to apply custom policy checks in a centralized way and keep users engaged on topics relevant to your requirements.",
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image: "/ShipConfidently.svg",
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link: "https://docs.plano.katanemo.com/getting-started/installation",
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link: "https://docs.planoai.dev/getting-started/installation",
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},
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{
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id: 5,
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@ -49,7 +49,7 @@ const carouselData = [
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description:
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"Plano's sidecar deployment model avoids library-based abstractions - operating as a protocol-native data plane that integrates seamlessly with your existing agents via agentic APIs (like v1/responses). This decouples your core agent logic from plumbing concerns - run it alongside any framework without code changes, vendor lock-in, or performance overhead.",
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image: "/Contextual.svg",
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link: "https://docs.plano.katanemo.com/getting-started/installation",
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link: "https://docs.planoai.dev/getting-started/installation",
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},
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];
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