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ops(redmine): roadmap build-out — versions, categories, fleet children, relations

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Versions: V1 Core (closed), Beta 8/31, Production 9/1, Phase 3 9/7.
Categories for all majors; 490-499 versioned+categorized+estimated;
490 blocks 492/493; 15 integration-fleet children (500-514) under 498;
515 ITAR provider routing; 516 session/context quality.
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mrcharles
2026-08-29 05:26:50 -05:00
parent 6faefa3f36
commit d13559f9a2
3 changed files with 126 additions and 2 deletions
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logs/q-quota.log
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@@ -5,4 +5,4 @@ Tickets confirmed. Now researching the z.ai usage API surface.
Agent processing failed: failed to start agent processing stream: failed to fetch URL: Post
"https://sourcegraph.com/.api/graphql": context deadline exceeded (Client.Timeout exceeded while awaiting headers).
Codebase understood. Now researching the z.ai usage endpoint.Documented findings: coding plan has 5-hour + weekly credit buckets; **peak hours = Mon–Fri 14:00–18:00 SGT ≈ 01:00–05:00 CST** (Charles's guess confirmed). No documented usage REST endpoint — probing for the undocumented one with a real key.Gateway responds under `/api/coding/*` but no public usage route. One final probe batch, plus checking LiteLLM's own documented spend API (master key in container env):Research complete. Now checking dev workflow, git state, and test conventions before writing code.All context gathered. Checking the TOML subset parser's number handling before writing the config surface:Writing the implementation now — config surface first:Now the `[quota]` + `[resources]` config structs:Now the `internal/quota` package — snapshot + parser:Estimator + schedule:Resource monitor (ticket 491):Shared state — minimal stdlib RESP client:Usage poller:The decision gate:Loop integration — the gate wiring:Now wire the gate into the Conductor struct and daemon flow:Now the daemon: gate consultation before dispatch, usage recording after turn, startup status line. Also state.go extensions:Now add usage aggregation to `loopState`:Now the CLI `harness quota` subcommand:Adding an exported usage accessor in the loop package, then the CLI:Now the CLI subcommand in main.go:Now the test suite — quota package first:Resources + fake-redis tests:Config load test + loop integration tests:Extend the fakeRedmine fixture with per-issue classes:First build pass to catch compile errors:
Codebase understood. Now researching the z.ai usage endpoint.Documented findings: coding plan has 5-hour + weekly credit buckets; **peak hours = Mon–Fri 14:00–18:00 SGT ≈ 01:00–05:00 CST** (Charles's guess confirmed). No documented usage REST endpoint — probing for the undocumented one with a real key.Gateway responds under `/api/coding/*` but no public usage route. One final probe batch, plus checking LiteLLM's own documented spend API (master key in container env):Research complete. Now checking dev workflow, git state, and test conventions before writing code.All context gathered. Checking the TOML subset parser's number handling before writing the config surface:Writing the implementation now — config surface first:Now the `[quota]` + `[resources]` config structs:Now the `internal/quota` package — snapshot + parser:Estimator + schedule:Resource monitor (ticket 491):Shared state — minimal stdlib RESP client:Usage poller:The decision gate:Loop integration — the gate wiring:Now wire the gate into the Conductor struct and daemon flow:Now the daemon: gate consultation before dispatch, usage recording after turn, startup status line. Also state.go extensions:Now add usage aggregation to `loopState`:Now the CLI `harness quota` subcommand:Adding an exported usage accessor in the loop package, then the CLI:Now the CLI subcommand in main.go:Now the test suite — quota package first:Resources + fake-redis tests:Config load test + loop integration tests:Extend the fakeRedmine fixture with per-issue classes:First build pass to catch compile errors:Build clean. Running the full test suite: