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docs: update STATUS.md and CHECKPOINT.md for Session 18b
Session 18b: Azure AI Foundry multi-model routing (7 models, dual API pattern, lazy init fix). Known issue: catalog models return markdown instead of JSON — to fix in Session 19. Co-Authored-By: Claude Opus 4.6 <[email protected]>
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CHECKPOINT.md

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## Last Updated By
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- **Tool**: Claude Code
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- **Date**: 2026-02-17
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- **Session**: 18
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- **Session**: 18b
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## Current State
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- **Phase**: Demo Preparation — All features + MS visibility polish implemented
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- **Last completed task**: Session 18 Microsoft visibility features (6 features for hackathon wow factor)
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- **Next task**: E2E re-test all flows, demo recording (7 workflows)
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- **Phase**: Demo Preparation — Multi-model routing implemented, catalog model parsing issue to fix
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- **Last completed task**: Session 18b Azure AI Foundry multi-model routing (7 models across 2 providers)
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- **Next task**: Fix catalog model JSON parsing (Phi-4/Llama return markdown not JSON), then E2E test + demo
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- **Branch**: `main`
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- **Repo is green**: YES (full build passes — 6/6 turbo tasks, 0 lint errors, all tests green)
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- **Repo is green**: YES (full build passes — 6/6 turbo tasks, 0 lint errors)
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- **CI/CD**: All changes committed and pushed
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- **Known issue**: Catalog models (Phi-4, Llama-3.3-70B) return markdown instead of JSON — `JSON.parse()` fails with "Unexpected token '#'"
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- **Live API**: `https://blueflame-api-dev.blackfield-ff30bbff.centralus.azurecontainerapps.io`
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- **Live Web**: `https://blueflame-web-dev.blackfield-ff30bbff.centralus.azurecontainerapps.io`
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- **Licensing**: BSL 1.1 (source-available, Murai Labs commercial ownership)
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## What Just Happened (Sessions 10–18)
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## What Just Happened (Sessions 10–18b)
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### Session 18b: Azure AI Foundry Multi-Model Routing
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Upgraded Azure OpenAI resource to Azure AI Foundry. Deployed 3 new models (Phi-4, Llama-3.3-70B-Instruct, o3-mini) alongside existing gpt-4o and gpt-4o-mini. Updated σ-router to use 7 models across 2 active providers.
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**Key changes:**
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1. **Model registry** — New routing table: Phi-4 (Routine tier), Llama-3.3-70B (Standard Builder/Fixer), o3-mini (Complex Verifier/Planner), gpt-4o/gpt-4o-mini (Standard/Complex), Claude Sonnet 4.5 (Complex when Anthropic key set)
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2. **Lazy initialization** — Fixed ESM import hoisting bug: `initDefaults()` was running at module load before `dotenv.config()`, making env vars empty. Now uses `ensureInitialized()` pattern.
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3. **Dual API pattern** — OpenAI models use `{endpoint}/openai/deployments/{name}` + api-version query; catalog models use `{resource}/openai/v1/` with NO api-version (model in request body). New helpers: `getAzureBaseURL()`, `getAzureDefaultQuery()`, `isOpenAIModel()`.
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4. **All 7 agents + provider updated** — builder, verifier, designer, planner, explainer, fixer, spec-generator, azure-openai provider all use new helpers.
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5. **Biome CI fix** — Changed lint script to `--diagnostic-level=error` so warnings don't block CI. Fixed 4 SVG accessibility errors and 2 missing hook deps.
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**Known issue:** Catalog models (Phi-4, Llama) return markdown instead of JSON when asked for structured output. Need to add explicit JSON format instructions to system prompts or use `response_format: { type: "json_object" }`.
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**Commits:** 6 commits pushed to main (lint fix, model registry, lazy init, api-version updates, agent URL fixes).
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### Session 18: Microsoft Visibility Features (Hackathon Polish)
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- **Session 16**: Spec viewer on run dashboard (API response, SpecViewerPanel, toggle)
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- **Session 17**: Post-execution deployment workflow + Session 16 UX fixes committed
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- **Session 18**: Microsoft visibility features (6 features for hackathon wow factor)
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- **Session 18b**: Azure AI Foundry multi-model routing (7 models, dual API pattern, lazy init fix)
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## What To Pick Up Next
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### Immediate (Session 19)
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1. **E2E test all flows** — Spec→Plan→Execute, SCR, failure→fix→approve
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2. **Demo recording** — 7 workflow demonstrations (WF1-WF7)
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3. **Submission package** — README (done), architecture diagram, demo video
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1. **Fix catalog model JSON parsing** — Phi-4/Llama return markdown not JSON. Options: (a) add `response_format: { type: "json_object" }` to API calls, (b) add stronger "respond ONLY in JSON" instructions to system prompts, (c) add a markdown-to-JSON fallback parser. Option (a) is preferred if catalog models support it.
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2. **E2E test all flows** — Spec→Plan→Execute, SCR, failure→fix→approve
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3. **Demo recording** — 7 workflow demonstrations (WF1-WF7)
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4. **Submission package** — README (done), architecture diagram, demo video
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### What's Deferred (OK to skip)
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- **S16-004: Azure SignalR migration** — Socket.IO works; migration is mechanical
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| Container Registry | `blueflamecr.azurecr.io` | Active |
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| Log Analytics | `blueflame-logs-dev` | Active |
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| App Insights | Connected | Active |
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| OpenAI | `blueflame-openai-dev` (gpt-4o deployed) | Active |
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| AI Foundry | `blueflame-openai-dev` (gpt-4o, gpt-4o-mini, o3-mini, Phi-4, Llama-3.3-70B) | Active |
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## Key Files Reference
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- `Blueflame-Spec-v3-ACAR.md` — Source of truth
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- ACR admin credentials are persistent; GHCR tokens are ephemeral (don't use GHCR)
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- On Windows/MSYS: use `MSYS_NO_PATHCONV=1` prefix for az CLI commands with `/` paths
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- Express route ordering: static routes before catch-all `/:id` routes
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- Catalog models (Phi-4, Llama) use `/openai/v1/` path with NO api-version; OpenAI models use `/openai/deployments/{name}` with api-version
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- ESM import hoisting: never call functions that read `process.env` at module load time — use lazy initialization
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- Authorize endpoint requires `Blueflame_Authorizer` role (dev mode: set `X-Dev-Role` header)
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- **Licensing**: BSL 1.1 — treat as commercially owned, not open source

docs/STATUS.md

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| AzureServiceUsagePanel on run dashboard | UI | P0 | **DONE** |
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| Landing page: 6 MS-branded feature cards | UI | P0 | **DONE** |
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### Session 18b — Azure AI Foundry Multi-Model Routing
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| Task | System | Priority | Status |
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|------|--------|----------|--------|
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| Deploy Phi-4, Llama-3.3-70B, o3-mini to Foundry | S12 | P0 | **DONE** |
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| Update model registry routing table (7 models) | S12 | P0 | **DONE** |
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| Lazy init model registry (ESM hoisting fix) | S12 | P0 | **DONE** |
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| Fix API version per model type (OpenAI vs catalog) | S12 | P0 | **DONE** |
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| Update all 7 agents + provider to use getAzureDefaultQuery | S12 | P0 | **DONE** |
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| Biome lint CI fix (diagnostic-level=error) | CI/CD | P0 | **DONE** |
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| Catalog model JSON parsing (Phi-4 returns markdown) | S12 | P0 | **KNOWN ISSUE** |
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### Final — Demo + Submit
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| Task | Priority | Status |
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|------|----------|--------|
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| S16-004: Azure SignalR migration | P1 | Deferred (Socket.IO adequate) |
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| S16-005: Application Insights SDK | P1 | Deferred (OTel spans cover this) |
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| Fix catalog model response parsing (markdown→JSON) | P0 | Not started |
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| End-to-end testing (Spec→Plan→Execute flow) | P0 | In progress |
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| Demo recording (7 workflows) | P0 | Not started |
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| Submission package | P0 | Not started |
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- **Documentation**: README, STATUS, CHECKPOINT, PRD, spec, CHANGELOG updated
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- **Demo/Submit**: 0/2
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- **Session 18 MS Visibility**: 6/6 (services strip, infra selection, Azure branding, toasts, usage panel, landing page)
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- **Grand Total**: 119/124 complete (2 deferred, 2 demo remaining, 1 skipped)
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- **Critical path**: E2E testing → demo recording → submission package
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- **Session 18b Foundry Multi-Model**: 6/7 (deploy, registry, lazy init, api-version, agents, lint — 1 known issue: catalog JSON parsing)
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- **Grand Total**: 125/131 complete (2 deferred, 3 demo remaining, 1 known issue)
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- **Critical path**: Fix catalog model JSON parsing → E2E testing → demo recording → submission package
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## Enterprise Streams Overview
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| 2026-02-12 | Defer AppInsights SDK (S16-005) | OTel spans already provide instrumentation |
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## Blockers
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- **Catalog model JSON parsing**: Phi-4 (and likely Llama) returns markdown instead of JSON — `JSON.parse()` fails with "Unexpected token '#'". Need to add structured output instructions or response format enforcement for catalog models.
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- **E2E flow partially tested**: User tested Spec→Plan→Execute and SCR flows — found and fixed 11 UX/backend bugs in Session 14
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- **Demo recording not started**: All features implemented + polished; need to record 7 workflow demos
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