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https://github.com/lukaszraczylo/traefik-llmgateway.git
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Spec §5 (v0.2): Config.ModelAliases map[string]string, alias-first resolution precedence ahead of provider-prefix splitting, alias-OR-target authorization, lazy target resolution with a 404 naming both ids, /v1/models listing, admin overview alias table (JSON + dashboard), and construction-time validation (shape, prefix-shadow, explicit-model collision, chain, empty target). routes_unified.go/routes_media.go needed no resolution-call-site changes - both already pass the client's raw requested id through to registry.resolve, so aliases inherit the __alias echo and multipart rewrite machinery for free. cache.go needed no changes either - cacheKey already hashes requestedModel, so two aliases resolving to the same target already produce distinct cache entries. Adds registry_test.go validation table + precedence/authz/lazy-404/ listing coverage, a dedicated cache-key split test, chat/embeddings/ images/audio-transcriptions end-to-end tests, an extended admin overview test, and an integration test covering the openai-type vs anthropic-type echo asymmetry under real Traefik+Yaegi.
156 lines
6.2 KiB
Cheetah
156 lines
6.2 KiB
Cheetah
http:
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routers:
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llmgateway-router:
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rule: "PathPrefix(`/`)"
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entryPoints: ["web"]
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service: dummy-service
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middlewares: ["llmgateway"]
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priority: 1
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llmgateway-real-router:
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rule: "Host(`real.localhost`)"
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entryPoints: ["web"]
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service: dummy-service
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middlewares: ["llmgateway-real"]
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priority: 100
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services:
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# Placeholder upstream. Every route the plugin recognizes is
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# short-circuited by the middleware itself; this backend is never
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# actually reached by the requests the integration suite sends.
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dummy-service:
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loadBalancer:
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servers:
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- url: "http://mockopenai:8080"
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middlewares:
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llmgateway:
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plugin:
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llmgateway:
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providers:
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openai:
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type: openai
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baseUrl: "http://mockopenai:8080"
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apiKey: "mock-openai-key"
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discovery: true
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models: ["gpt-mock"]
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anthropic:
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type: anthropic
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baseUrl: "http://mockanthropic:8080"
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apiKey: "mock-anthropic-key"
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models: ["claude-mock"]
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gemini:
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type: gemini
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baseUrl: "http://mockgemini:8080"
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apiKey: "mock-gemini-key"
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models: ["gemini-mock"]
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# Backs task 5's retry coverage only: baseUrl points at the
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# SAME mockopenai container, under its dedicated /flaky prefix
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# (see integration/mock/main.go's handleFlakyOpenAIChat), so
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# a.baseURL+"/v1/chat/completions" (provider_openai.go)
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# resolves to /flaky/v1/chat/completions, and this provider's
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# own native passthrough route (/flaky/reset) reaches
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# handleFlakyReset the same way. discovery is left off — GET
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# /flaky/v1/models isn't served — so the explicit "flaky-mock"
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# model id below is the only way this provider's model is
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# known.
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flaky:
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type: openai
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baseUrl: "http://mockopenai:8080/flaky"
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apiKey: "mock-openai-key"
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models: ["flaky-mock"]
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groups:
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eng:
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limits:
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requestsPerMinute: 1000
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limited:
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limits:
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requestsPerMinute: 3
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users:
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inline:
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# limits.requestsPerDay is set (generously — every test in
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# this suite together never approaches it) purely so
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# buildLimitScopes (routes_unified.go/routes_media.go/
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# admin.go) builds a "user" counter scope for alice at all:
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# a nil per-user Limits means only the group's own counters
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# ever increment, which would make the admin usage test's
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# "alice's own request counters are > 0" assertion always
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# read zero regardless of how much traffic she generated.
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- name: alice
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group: eng
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apiKey: "sk-int-alice"
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limits:
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requestsPerDay: 1000000
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# Admin-flagged user for the admin dashboard integration
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# coverage (spec §4, v0.2): same "eng" group as alice, so
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# polling /admin/api/* repeatedly never hits a rate limit
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# meant for a different scenario. limits.requestsPerDay is
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# set for the same reason as alice's above.
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- name: admin
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group: eng
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apiKey: "sk-int-admin"
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admin: true
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limits:
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requestsPerDay: 1000000
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file: "/users/users.json"
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redis:
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address: "redis:6379"
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mcpServers:
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tool:
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url: "http://mocktool:8080"
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# v0.2 features (spec §1, §2, §4, §5), all opt-in and off by
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# default in v0.1: enabled here so the integration suite
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# exercises every one under real Traefik+Yaegi, not just go
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# test.
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retry:
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enabled: true
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attempts: 1 # one retry after the first try — matches handleFlakyOpenAIChat's single forced 503
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cache:
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enabled: true
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ttl: "2m"
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admin:
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enabled: true
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# Task 6 (spec §5): one alias per mock provider type, so the
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# integration suite proves the echo-behavior asymmetry under
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# real Traefik+Yaegi — openai-type forwards the upstream body
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# verbatim (its "model" field carries "gpt-mock", not the
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# alias); anthropic-type builds its own envelope and echoes the
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# client's exact alias string back.
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modelAliases:
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aliased/mock: "gpt-mock"
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aliased/claude: "claude-mock"
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# Second, separate middleware instance carrying only the optional
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# real-upstream smoke test's "uni" provider (task 7, INTEGRATION_REAL=1
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# gated). Kept isolated from the mock-backed "llmgateway" middleware
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# above so the always-on tests never depend on network egress.
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llmgateway-real:
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plugin:
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llmgateway:
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providers:
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real:
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type: openai
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baseUrl: "__INTEGRATION_REAL_BASEURL__"
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apiKey: ""
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# Explicit rather than discovered: resolution must not depend
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# on this container reaching the real upstream at Traefik
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# startup (offline dev machines, CI with no egress). The
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# actual chat completion call in task 7 still goes out live.
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#
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# The provider is deliberately NOT named "uni": the upstream
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# gateway's own model ids carry a "uni/" prefix, and a
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# provider of that name would make the plugin strip it
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# (provider-prefix resolution) before proxying. With a
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# non-colliding name the whole slash-bearing id below is a
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# bare model id and is forwarded verbatim.
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models: ["uni/deepseek-v4-flash-0731"]
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groups:
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eng:
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limits:
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requestsPerMinute: 1000
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users:
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inline:
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- name: alice-real
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group: eng
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apiKey: "sk-int-real"
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