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Merge pull request #263 from azerozero/fix/lychee-stale-external-links
docs: fix 4 stale external links surfaced by working lychee
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docs/decisions/0018-nature-inspired-routing.md

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### External references
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- Matt Klein, [Envoy's architectural model](https://www.envoyproxy.io/docs/envoy/latest/intro/arch_overview/intro/arch_overview) — clusters (topology) vs listeners/filters (policy).
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- Matt Klein, [Envoy's architectural model](https://www.envoyproxy.io/docs/envoy/latest/intro/arch_overview/intro/intro) — clusters (topology) vs listeners/filters (policy).
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- Matt Holt, [Caddy `reverse_proxy` directive](https://caddyserver.com/docs/caddyfile/directives/reverse_proxy) — the ergonomic benchmark for this ADR. Every example we ship should be benchmarked against Caddy's equivalent in lines of config.
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- Jeffrey Dean & Luiz André Barroso, [The Tail at Scale](https://research.google/pubs/pub40801/), *Communications of the ACM*, Vol. 56, No. 2, 2013 — the canonical reference for hedged requests.
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- Daniel J. Russo, Benjamin Van Roy, Abbas Kazerouni, Ian Osband & Zheng Wen, [A Tutorial on Thompson Sampling](https://arxiv.org/abs/1707.02038), *Foundations and Trends in Machine Learning*, 2018 — Thompson sampling reference.

docs/how-to/oauth-setup.md

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## Related
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- [OpenCode Anthropic Auth](https://github.com/sst/opencode-anthropic-auth) - Inspiration for this implementation
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- [OpenCode](https://github.com/sst/opencode) - Inspiration for this implementation
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- [Anthropic OAuth Docs](https://docs.anthropic.com/claude/reference/oauth)

docs/reference/benchmarks.md

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| Proxy | Instance | vCPU | P50 overhead | req/s | Routing | Auth | Rate limit | Cache | DLP | Source |
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|-------|----------|:----:|-------------:|------:|:-------:|:----:|:----------:|:-----:|:---:|--------|
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| **Grob** | t3.xlarge | 4 | **127 µs** | 17,700 | Yes | Yes | Yes | Yes || [grob-bench](https://github.com/azerozero/grob-bench) |
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| **Grob** | t3.xlarge | 4 | **161 µs** | 15,300 | Yes | Yes | Yes | Yes | Yes | [grob-bench](https://github.com/azerozero/grob-bench) |
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| **Grob** | c7g.xlarge | 4 | **67 µs** | 35,500 | Yes | Yes | Yes | Yes || [grob-bench](https://github.com/azerozero/grob-bench) |
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| **Grob** | c7g.xlarge | 4 | **90 µs** | 29,500 | Yes | Yes | Yes | Yes | Yes | [grob-bench](https://github.com/azerozero/grob-bench) |
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| **Grob** | t3.xlarge | 4 | **127 µs** | 17,700 | Yes | Yes | Yes | Yes || [`benches/`](../../benches/) |
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| **Grob** | t3.xlarge | 4 | **161 µs** | 15,300 | Yes | Yes | Yes | Yes | Yes | [`benches/`](../../benches/) |
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| **Grob** | c7g.xlarge | 4 | **67 µs** | 35,500 | Yes | Yes | Yes | Yes || [`benches/`](../../benches/) |
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| **Grob** | c7g.xlarge | 4 | **90 µs** | 29,500 | Yes | Yes | Yes | Yes | Yes | [`benches/`](../../benches/) |
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| Bifrost | t3.xlarge | 4 | 11 µs ||||||| [Maxim blog](https://www.getmaxim.ai/blog/bifrost-a-drop-in-llm-proxy-40x-faster-than-litellm/) |
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| TensorZero | c7i.xlarge | 4 | 370 µs || Yes ||||| [TensorZero docs](https://www.tensorzero.com/docs/gateway/benchmarks) |
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| LiteLLM | 4c / 8 GB | 4 | ~5 ms || Yes | Yes | Yes ||| [LiteLLM docs](https://docs.litellm.ai/docs/benchmarks) |

docs/reference/owasp-llm-top10.md

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- [OWASP Top 10 for LLM Applications 2025](https://owasp.org/www-project-top-10-for-large-language-model-applications/)
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- [LLM01: Prompt Injection](https://genai.owasp.org/llmrisk/llm01-prompt-injection/)
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- [LLM02: Sensitive Information Disclosure](https://genai.owasp.org/llmrisk/llm02-sensitive-information-disclosure/)
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- [LLM02: Sensitive Information Disclosure](https://genai.owasp.org/llmrisk/llm022025-sensitive-information-disclosure/)
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- [Grob Security Model](../explanation/security.md)

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