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agent-orchestrator/docs/provider-adapter/progress.md

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Agent Provider Adapter — Progress

Session Log

2026-03-11 — Planning Phase

Duration: ~30 min

What happened:

  1. Explored 13+ files across Rust backend, TypeScript bridges, Svelte UI, and JS sidecar to map Claude-specific coupling
  2. Classified coupling into 4 severity levels (CRITICAL/HIGH/MEDIUM/LOW)
  3. Ran /ultra-think for deep architectural analysis — evaluated 3 design options for sidecar routing, message adapters, and settings UI
  4. Made 6 architecture decisions (PA-1 through PA-6)
  5. Created 3-phase implementation plan (16 + 5 + 3 tasks)
  6. Created planning files: task_plan.md, findings.md, progress.md

Architecture decisions made:

  • PA-1: Per-provider sidecar binaries (not single multi-SDK bundle)
  • PA-2: Generic provider_config blob in AgentQueryOptions
  • PA-3: Per-provider message adapter files → common AgentMessage type
  • PA-4: Provider selection per-project with global default
  • PA-5: Capability flags drive UI rendering (not provider ID checks)
  • PA-6: Providers section in SettingsTab scroll (not inner tabs)

Status: Planning complete. Ready for Phase 1 implementation.

2026-03-11 — Implementation (All 3 Phases)

Duration: ~60 min

What happened:

Phase 1 — Core Abstraction Layer (16 tasks):

  1. Created provider types (ProviderId, ProviderCapabilities, ProviderMeta, ProviderSettings)
  2. Created Svelte 5 rune-based provider registry (registry.svelte.ts)
  3. Created Claude provider meta constant (claude.ts)
  4. Renamed sdk-messages.ts → claude-messages.ts, updated 13+ import references
  5. Created message adapter registry (message-adapters.ts) with per-provider routing
  6. Updated Rust AgentQueryOptions with provider and provider_config fields (serde defaults for backward compat)
  7. Updated agent-bridge.ts TypeScript options
  8. Renamed agent-runner.ts → claude-runner.ts, rebuilt dist bundle
  9. Added provider field to ProjectConfig (groups.ts)
  10. Renamed ClaudeSession.svelte → AgentSession.svelte with provider awareness
  11. Updated agent-dispatcher.ts with sessionProviderMap for provider-based message routing
  12. Updated AgentPane.svelte with capability-driven rendering (hasProfiles, hasSkills, supportsResume gates)
  13. Created provider-bridge.ts (generic adapter delegating to provider-specific bridges)
  14. Registered CLAUDE_PROVIDER in App.svelte onMount
  15. Updated all test mocks (dispatcher test: adaptMessage mock with provider param)
  16. Verified: 202 vitest + 42 cargo tests pass

Phase 2 — Settings UI (5 tasks):

  1. Added "Providers" section to SettingsTab with collapsible per-provider config panels
  2. Each panel: enabled toggle, default model input, capabilities badge display
  3. Added per-project provider dropdown in project cards (conditional on >1 provider)
  4. Provider settings persisted as JSON blob via provider_settings settings key
  5. AgentPane already capability-aware from Phase 1

Phase 3 — Sidecar Routing (3 tasks):

  1. Refactored resolve_sidecar_command() → resolve_sidecar_for_provider(provider) — looks for {provider}-runner.mjs
  2. query() validates provider runner exists before sending message
  3. Extracted strip_provider_env_var() — strips CLAUDE*/CODEX*/OLLAMA* env vars (whitelists CLAUDE_CODE_EXPERIMENTAL_*)

Status: All 3 phases complete. 202 vitest + 42 cargo tests pass. Zero regression.

2026-03-11 — Provider Runners (Codex + Ollama)

Duration: ~45 min

What happened:

Research:

  1. Researched OpenAI Codex CLI programmatic interface (SDK, NDJSON stream format, thread events, sandbox/approval modes, session resume)
  2. Researched Ollama REST API (/api/chat, NDJSON streaming, tool calling, token counts, health check)

Codex Provider (3 files):

  1. Created providers/codex.ts — ProviderMeta (gpt-5.4 default, hasSandbox=true, supportsResume=true, no profiles/skills/cost)
  2. Created adapters/codex-messages.ts — adaptCodexMessage() maps ThreadEvents to AgentMessage[] (agent_message→text, reasoning→thinking, command_execution→Bash tool pair, file_change→Write/Edit/Bash per change, mcp_tool_call→server:tool, web_search→WebSearch, turn.completed→cost with tokens)
  3. Created sidecar/codex-runner.ts — @openai/codex-sdk wrapper (dynamic import, graceful failure, sandbox/approval mapping, CODEX_API_KEY auth, session resume via thread ID)

Ollama Provider (3 files):

  1. Created providers/ollama.ts — ProviderMeta (qwen3:8b default, hasModelSelection only, all other capabilities false)
  2. Created adapters/ollama-messages.ts — adaptOllamaMessage() maps synthesized chunk events (text, thinking from Qwen3, done→cost with eval_duration/token counts, always $0)
  3. Created sidecar/ollama-runner.ts — Direct HTTP to localhost:11434/api/chat (zero deps, health check, NDJSON stream parsing, configurable host/model/num_ctx/think)

Registration + Build:

  1. Registered CODEX_PROVIDER + OLLAMA_PROVIDER in App.svelte onMount
  2. Registered adaptCodexMessage + adaptOllamaMessage in message-adapters.ts
  3. Updated build:sidecar script to build all 3 runners via esbuild

Tests:

  • 19 new tests for codex-messages.ts (all event types)
  • 11 new tests for ollama-messages.ts (all event types)
  • 256 vitest + 42 cargo tests pass. Zero regression.

Status: Provider runners complete. Both providers infrastructure-ready (will work when CLI/server installed).