scouzi1966 AFM Skill
AFM (maclocal-api) is a local OpenAI-compatible API server and CLI for:
- Apple Foundation Models (
afm) - MLX models from Hugging Face (
afm mlx) - Local backend gateway/proxy mode (
afm -g) - Vision OCR/table extraction (
afm vision)
1. Overview and Triggers
Use this skill when working on:
- CLI flags, argument dispatch, or mode routing (
afm,afm mlx,afm vision) - OpenAI-compatible routes (
/v1/chat/completions,/v1/models) - Streaming SSE behavior and response compatibility
- MLX tool calling, parser overrides, reasoning extraction, structured outputs
- Gateway backend discovery/proxying (Ollama, LM Studio, Jan, local OpenAI endpoints)
- Vision OCR and table extraction
- AFMKit provider integration, build scripts, regression tests
2. Key File Reference
| Purpose | File Path |
|---|---|
| CLI modes, flags, single-prompt and stdin behavior | Sources/MacLocalAPI/main.swift |
| Vision command | Sources/MacLocalAPI/VisionCommand.swift |
| Vapor server + route registration | Sources/MacLocalAPI/Server.swift |
| Foundation chat completions controller | Sources/MacLocalAPI/Controllers/ChatCompletionsController.swift |
| MLX chat completions controller | Sources/MacLocalAPI/Controllers/MLXChatCompletionsController.swift |
| Foundation model service | Sources/MacLocalAPI/Models/FoundationModelService.swift |
| MLX model service | Sources/MacLocalAPI/Models/MLXModelService.swift |
| OpenAI request schema | Sources/MacLocalAPI/Models/OpenAIRequest.swift |
| OpenAI response schema | Sources/MacLocalAPI/Models/OpenAIResponse.swift |
| Backend discovery | Sources/MacLocalAPI/Services/BackendDiscoveryService.swift |
| Backend proxying | Sources/MacLocalAPI/Services/BackendProxyService.swift |
| Backend definitions/capabilities | Sources/MacLocalAPI/Models/BackendConfiguration.swift |
| Provider boundary check | Scripts/check-afmkit-consumer-boundary.sh |
| Full bootstrap build | Scripts/build-from-scratch.sh |
3. Core Rules
- Work from
maclocal-api/project root. - Keep OpenAI compatibility first: request fields, response shape, SSE chunk format.
- Keep Foundation and MLX behavior aligned where practical.
- Treat AFMKit as the only provider source of truth. Use
MACLOCAL_AFMKIT_WORKSPACE_PATHfor paired development, then bump the exact AFMKit version after its changes are released. - Preserve CORS and streaming headers.
- Keep both streaming and non-streaming paths correct for every new feature.
4. Quick Start Commands
# Build against the exact AFMKit release
make build
# Debug build
make debug
# Full bootstrap build
./Scripts/build-from-scratch.sh
# Provider boundary
./Scripts/check-afmkit-consumer-boundary.sh
# Run Foundation server
./.build/debug/afm -p 9999 -v
# Run MLX server
./.build/debug/afm mlx -m mlx-community/Qwen3-0.6B-4bit -p 9999 -v
# Single prompt
./.build/debug/afm mlx -m mlx-community/Qwen3-0.6B-4bit -s "hello"
# Vision OCR
./.build/debug/afm vision -f media/ocr.png
5. Primary Workflow
- Identify target mode and load only relevant reference files.
- Update shared request/response models first when adding API-visible behavior.
- Thread parameters through CLI -> server/controller -> service -> response.
- Validate non-streaming and streaming paths.
- Run targeted checks, then broader regression scripts.
- Update README examples if user-visible behavior changed.
6. Reference Links
| Reference | When to Use |
|---|---|
references/architecture.md |
Route wiring, lifecycle, cross-mode request flow |
references/cli-and-modes.md |
Flag behavior, command dispatch, mode defaults |
references/api-contract.md |
OpenAI request/response compatibility details |
references/mlx-inference-and-tool-calling.md |
MLX streaming, tool calls, reasoning extraction, multimodal |
references/gateway-discovery-and-proxy.md |
Gateway scans, backend capabilities, proxy normalization |
references/patch-build-test.md |
Vendor patch process, build scripts, regression commands |
7. Validation Checklist
- CLI parse/help:
./.build/debug/afm --help./.build/debug/afm mlx --help./.build/debug/afm vision --help
- Server health/models:
curl http://127.0.0.1:9999/healthcurl http://127.0.0.1:9999/v1/models
- Regression scripts:
./test-all-features.sh./Scripts/afm-cli-tests.sh./test-streaming.sh./test-go.sh./test-metrics.sh