7 Commits

Author SHA1 Message Date
Mathias Bergqvist
3d6f33881b chore: remove sources: from context:sync to disable Task source-cache
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Task's sources: declaration cached the regeneration on the assumption
that adapter outputs depend only on .context/AGENT.md (or PROJECT.md +
.skills/). The cache occasionally skipped legitimate runs after manual
edits to root or template content not detectable from those source paths.
context-sync.sh is idempotent and cheap; running it on every invocation
is the right default. The freshness gate (git status --porcelain) is
unaffected — it always checked the actual git tree state.
2026-04-30 23:14:20 +02:00
Mathias Bergqvist
07e3f341ef chore: re-sync context adapters after root prose cleanup
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Root AGENT.md dropped a stale paragraph; adapters that embed root
(AGENTS.md, .cursorrules, .aider.conventions.md, system-prompt.txt)
need to be regenerated to match. CLAUDE.md is project-only by design
and unchanged.
2026-04-30 23:00:31 +02:00
Mathias Bergqvist
5c532e708c chore: drop HANDROLLED sentinel machinery from context-sync.sh
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Nothing in the workspace uses the HANDROLLED escape hatch anymore — the
infra repo (its only consumer) was migrated to the standard pattern.
Removing the dead code: HANDROLLED_MARKER constant, skip_if_handrolled
function, and call sites in each generator. Sync output for any non-
HANDROLLED file (i.e., every file we have) is unchanged.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 22:48:28 +02:00
Mathias Bergqvist
a34c66d7cd fix: update scripts/context-sync.sh with HANDROLLED sentinel support
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Phase 4 sweep updated .gitignore and Taskfile.yml but missed this
script. Copy the canonical from ~/dev/project-template/ so the
HANDROLLED escape hatch works in this project (a CLAUDE.md or
adapter file containing '<!-- HANDROLLED: do not regenerate -->'
near the top is now skipped on regeneration).
2026-04-29 16:41:56 +02:00
Mathias Bergqvist
cc401d92d6 chore: commit adapters; add context freshness gate to task check
Adapters are now tracked so non-Mac hosts get full agent context after
a plain git pull. task check runs context:sync first and fails on drift
via git status --porcelain over the 5 adapter paths.
2026-04-29 15:59:52 +02:00
Mathias Bergqvist
9bdf00f51f refactor(mcp): connect Claude Code via direct HTTP, remove stdio bridge
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Claude Code now supports MCP servers over HTTP natively (type: "http"
in .mcp.json). The stdio↔HTTP bridge binary was a workaround for the
older stdio-only constraint and is no longer needed — the supervisor
NodePort on koala (30320) is reachable over Tailscale from any client
machine.

Removed:
- cmd/bridge/ (Go source, ~60 lines)
- bin/supervisor-bridge artifact
- Taskfile bridge:build target and the build aggregate's reference
- README "Build the bridge binary" instruction

Updated:
- .mcp.json switched to {type:"http", url:"http://koala:30320/mcp"}
- README architecture diagram and "Connect a project" section

Behavioural prerequisite for this change shipped in 7f7524c
(notifications fix). Verified end-to-end: tier tool call returns
{tier:2, label:"lan-only"} via direct HTTP, no shim.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 10:38:58 +02:00
Mathias Bergqvist
7f7524c859 fix(mcp): do not respond to JSON-RPC notifications
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The supervisor's MCP HTTP handler was answering every parsed request,
including notifications (messages with no id field). Per JSON-RPC 2.0,
notifications must not receive a response. The Apr-29 incident saw
Claude Code's MCP client receive a -32601 error for the standard
notifications/initialized handshake step and disconnect immediately
after a successful initialize.

Skip writing the response when req.ID == nil. Cover both the
known-method (notifications/initialized) and unknown-method paths
with tests.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 08:39:20 +02:00
12 changed files with 1085 additions and 90 deletions

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# Agent context — Mathias workspace
<!-- Canonical root context for all AI coding agents.
Lives at: ~/dev/.context/AGENT.md
Applies to every project under ~/dev/ unless overridden.
Run `task context:sync` from ~/dev/ to regenerate harness-specific files.
Project-level context in .context/PROJECT.md layers on top of this. -->
## Who I am
I'm Mathias, a digital product manager and technology consultant based in Sweden.
I build software, research emerging tech, and deliver consulting engagements
for clients under NDA. I work across AI/ML, financial automation, web applications,
and climate/sustainability tech.
## How I work with agents
- I think like a product manager — I care about *why* before *how*
- I want agents to be opinionated and push back, not just execute blindly
- I prefer concise responses; skip ceremony and get to the point
- When I say "build this", I mean production-quality with tests, not a demo
- Ask me before making irreversible changes or adding heavy dependencies
- I work with confidential client data — never send it to cloud APIs unless I explicitly say it's OK
## Behavior rules
These rules apply to every task across every project, regardless of harness.
1. **No assumptions.** Don't hide confusion — surface it. Surface tradeoffs explicitly.
Think before coding; if the problem is unclear, ask or state assumptions before acting.
2. **Minimum viable code.** Solve with the smallest change that works. Nothing
speculative, no "while we're here" cleanups, no premature abstractions. Simplicity first.
3. **Surgical changes.** Touch only what the task requires. Leave unrelated code,
files, and formatting alone. Diffs should be small and reviewable.
4. **Goal-driven execution.** Define clear success criteria up front for every task.
Loop — implement, verify, refine — until those criteria are met. Don't claim
completion without evidence (tests pass, command output, observed behavior).
## Default stack
| Layer | Default | Fallback | Last resort |
|-------|---------|----------|-------------|
| Language | Go | Python | TypeScript, Java, C |
| UI | HTMX + Templ | Server-rendered HTML | React (only if SPA is justified) |
| Build | Task (taskfile.dev) | Make | — |
| Containers | Docker Compose (dev), k3s (prod) | — | — |
| DB | PostgreSQL + sqlc | SQLite | — |
| Search | Qdrant (vector), BM25 | — | — |
| Logging | slog (structured) | — | — |
| Testing | Table-driven, testify | — | — |
Exploratory: Rust, Zig — I'll tell you when I want these.
## Code conventions
- **Go style**: golines, gofumpt, golangci-lint
- **Errors**: `fmt.Errorf("operation: %w", err)` — never naked, never log-and-return
- **Naming**: stdlib conventions, no stuttering
- **Architecture**: prefer stdlib over frameworks, constructor injection, env-var config parsed into typed structs
- **Git**: conventional commits (`feat:`, `fix:`, `chore:`), one concern per PR, PR describes *why* not *what*
- **Security**: no secrets in code, govulncheck before adding deps, SOPS for encrypted config
- **Dependencies**: prefer stdlib. testify, slog, templ, sqlc are pre-approved; anything else needs justification in the commit message
## Infrastructure
Three machines on Tailscale:
| Machine | Role | Key specs |
|---------|------|-----------|
| koala | GPU inference, heavy compute | RTX 5070, runs llama-swap, Qdrant |
| iguana | Services, builds | M2 Ultra Mac |
| flamingo | Daily driver, edge | Mac mini, ~/dev is here |
- **Model routing**: LiteLLM in front of llama-swap (local) + cloud APIs (when permitted)
- **Orchestration**: k3s cluster across all three machines
- **Networking**: Tailscale mesh
## Project landscape
All development repos live at `~/dev/` (softlink from `~/Documents/local-dev/`).
Organized in thematic folders:
| Folder | Focus | Count |
|--------|-------|-------|
| `GO/` | Go web frameworks, API integrations, learning projects | ~10 |
| `AI/` | ML research, AI frameworks (FinRL, DSPy, crawl4ai) | ~6 |
| `AGENTS/` | Autonomous agents, coding agents, MCP servers, infra | ~15 |
| `QKX/` | Invoice processing, financial automation, payment systems | ~13 |
| `XT/` | Climate data, sustainability (Klimatkollen, Garbo) | ~2 |
See `~/dev/PROJECT_SUMMARY.md` for detailed descriptions of each project.
### Key active projects
- **super-koala** (`AGENTS/`) — multi-component agent stack with LangGraph, DSPy, MCP
- **azure-tiger** (`QKX/`) — invoice extraction → ISO 20022 payment instructions
- **gocrwl** (`AGENTS/`) — Go web crawler with containerized deployment
- **koala-ai-stack** (`AGENTS/`) — local AI server infrastructure management
- **klimatkollen** (`XT/`) — Swedish municipal climate data platform
## Knowledge base
When available, agents can query the shared knowledge base:
- **MCP**: `mcp://hyperguild.<TAILNET>.ts.net:3100/knowledge`
- **HTTP**: `http://hyperguild.<TAILNET>.ts.net:3100/api/v1/search`
<!-- TODO: replace <TAILNET> placeholder with the real Tailscale tailnet
name once hyperguild is deployed. Until then, agents that try to
reach the knowledge service on a host where it isn't running will
get DNS NXDOMAIN, which is the desired fail-loudly behavior. -->
- **Scoping**: defaults to `public` collection; client projects filter to `{client}` + `public`
## Client work rules
When working on a project tagged with a client name:
1. Never send code, data, or context to cloud APIs — use local models only
2. Never reference other client projects or their data
3. Keep all artifacts within the client's git org / directory
4. Treat everything as confidential unless told otherwise
## Harness-agnostic principles
This context is designed to work with any AI coding tool:
- Claude Code, Cursor, Aider, Open WebUI, Charmbracelet Mods/Crush
- Pi Coding Agent, Mistral Vibe, Antigravity
- Any tool that accepts a system prompt or reads a markdown context file
The canonical source is always `.context/AGENT.md` (root) and `.context/PROJECT.md` (per-project).
Derived files are committed (see *How context propagates* below) so a `git pull` on any host yields full agent context with no setup.
## How context propagates
Canonical sources of truth:
- Universal: `~/dev/.context/AGENT.md` (this file)
- Project: `<repo>/.context/PROJECT.md` (per-repo)
Derived files (committed, regenerated by `task context:sync`):
- `CLAUDE.md`, `AGENTS.md`, `.cursorrules`, `.aider.conventions.md`,
`.context/system-prompt.txt`
Workflow:
1. Edit a canonical file. Run `task context:sync`. Commit canonical and
derived together. Push.
2. On any other host, `git pull` brings both. Claude Code (tree-walking)
uses `CLAUDE.md`; Crush / Pi / Antigravity (cwd-only) use `AGENTS.md`;
Cursor uses `.cursorrules`; Aider uses `.aider.conventions.md`.
3. `task check` runs `context:sync` then asserts `git status --porcelain`
is empty over the derived files (catches both modified-tracked drift
and missing-untracked adapters). A drift fails the check with a
message telling you to stage the regenerated files.
Behavior rules in this file and per-project rules in `PROJECT.md` apply
unconditionally on every host, every harness.
## Engineering Skills
Shared engineering skills are available in `~/dev/.skills/`. Load on demand via the index.
See `~/dev/.skills/SKILLS_INDEX.md` for the full list with descriptions and "use when" triggers.
Key skills:
- **TDD**: always write tests first — load `tdd` skill
- **Code Review**: load `code-review` skill before any review
- **SOLID/Clean Code**: load `solid` or `clean-code` skill for design work
- **Problem first**: load `problem-analysis` skill before coding non-trivial features
---
# Project context
<!-- Canonical project context. Edit this, run `task context:sync`.
Root agent context from ~/dev/.context/AGENT.md is automatically
prepended for harnesses that don't walk the directory tree. -->
## Identity
- **Name**: supervisor
- **Owner**: Mathias
- **Client**: personal
- **Repo**:
- **Status**: active
## Stack
- **Primary language**: Go
- **UI layer**: HTMX + Templ (when applicable)
- **Fallback languages**: Python, TypeScript (justify in PR if used)
- **Build**: Task (taskfile.dev), not Make
- **Containers**: Docker (compose for dev, k3s for deploy)
- **Target infra**: koala (GPU workloads), iguana (services), flamingo (edge)
## Conventions
### Code style
- Go: follow `golines`, `gofumpt`, `golangci-lint` with project config
- Tests: table-driven, in `_test.go` next to source, `testify` for assertions
- Errors: wrap with `fmt.Errorf("operation: %w", err)`, no naked returns
- Naming: stdlib conventions, no stuttering (`http.Client` not `http.HTTPClient`)
### Architecture preferences
- Prefer standard library over frameworks (net/http over gin/echo)
- Dependency injection via constructor functions, not containers
- Configuration via environment variables, parsed at startup into a typed struct
- Structured logging via `slog`
### Git
- Conventional commits: `feat:`, `fix:`, `chore:`, `docs:`, `refactor:`
- Branch naming: `feat/short-description`, `fix/short-description`
- PRs: one concern per PR, description explains *why* not *what*
### Security
- No secrets in code, ever — use env vars or SOPS-encrypted files
- Client data never leaves local network unless explicitly cleared
- Dependencies: audit with `govulncheck` before adding
## Knowledge base access
This project can query the shared knowledge base via MCP or HTTP:
- **MCP endpoint**: `mcp://localhost:3100/knowledge`
- **HTTP fallback**: `http://localhost:3100/api/v1/search`
- **Scoping**: queries are filtered to collection `personal` + `public`
## Agent instructions
When acting as a coding agent on this project:
1. Read this file and all `SKILL.md` files in `.skills/` before starting work
2. Run `task check` before committing (lint + test + vet)
3. If unsure about a convention, check `DECISIONS.md` or ask
4. Never modify files outside the project root without explicit permission
5. When adding a dependency, explain why in the commit message
6. For client projects: never send code or context to cloud APIs — use local models via LiteLLM

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You are a coding assistant working on a specific project.
Follow all conventions from both the root agent context and project context.
---
# Agent context — Mathias workspace
<!-- Canonical root context for all AI coding agents.
Lives at: ~/dev/.context/AGENT.md
Applies to every project under ~/dev/ unless overridden.
Run `task context:sync` from ~/dev/ to regenerate harness-specific files.
Project-level context in .context/PROJECT.md layers on top of this. -->
## Who I am
I'm Mathias, a digital product manager and technology consultant based in Sweden.
I build software, research emerging tech, and deliver consulting engagements
for clients under NDA. I work across AI/ML, financial automation, web applications,
and climate/sustainability tech.
## How I work with agents
- I think like a product manager — I care about *why* before *how*
- I want agents to be opinionated and push back, not just execute blindly
- I prefer concise responses; skip ceremony and get to the point
- When I say "build this", I mean production-quality with tests, not a demo
- Ask me before making irreversible changes or adding heavy dependencies
- I work with confidential client data — never send it to cloud APIs unless I explicitly say it's OK
## Behavior rules
These rules apply to every task across every project, regardless of harness.
1. **No assumptions.** Don't hide confusion — surface it. Surface tradeoffs explicitly.
Think before coding; if the problem is unclear, ask or state assumptions before acting.
2. **Minimum viable code.** Solve with the smallest change that works. Nothing
speculative, no "while we're here" cleanups, no premature abstractions. Simplicity first.
3. **Surgical changes.** Touch only what the task requires. Leave unrelated code,
files, and formatting alone. Diffs should be small and reviewable.
4. **Goal-driven execution.** Define clear success criteria up front for every task.
Loop — implement, verify, refine — until those criteria are met. Don't claim
completion without evidence (tests pass, command output, observed behavior).
## Default stack
| Layer | Default | Fallback | Last resort |
|-------|---------|----------|-------------|
| Language | Go | Python | TypeScript, Java, C |
| UI | HTMX + Templ | Server-rendered HTML | React (only if SPA is justified) |
| Build | Task (taskfile.dev) | Make | — |
| Containers | Docker Compose (dev), k3s (prod) | — | — |
| DB | PostgreSQL + sqlc | SQLite | — |
| Search | Qdrant (vector), BM25 | — | — |
| Logging | slog (structured) | — | — |
| Testing | Table-driven, testify | — | — |
Exploratory: Rust, Zig — I'll tell you when I want these.
## Code conventions
- **Go style**: golines, gofumpt, golangci-lint
- **Errors**: `fmt.Errorf("operation: %w", err)` — never naked, never log-and-return
- **Naming**: stdlib conventions, no stuttering
- **Architecture**: prefer stdlib over frameworks, constructor injection, env-var config parsed into typed structs
- **Git**: conventional commits (`feat:`, `fix:`, `chore:`), one concern per PR, PR describes *why* not *what*
- **Security**: no secrets in code, govulncheck before adding deps, SOPS for encrypted config
- **Dependencies**: prefer stdlib. testify, slog, templ, sqlc are pre-approved; anything else needs justification in the commit message
## Infrastructure
Three machines on Tailscale:
| Machine | Role | Key specs |
|---------|------|-----------|
| koala | GPU inference, heavy compute | RTX 5070, runs llama-swap, Qdrant |
| iguana | Services, builds | M2 Ultra Mac |
| flamingo | Daily driver, edge | Mac mini, ~/dev is here |
- **Model routing**: LiteLLM in front of llama-swap (local) + cloud APIs (when permitted)
- **Orchestration**: k3s cluster across all three machines
- **Networking**: Tailscale mesh
## Project landscape
All development repos live at `~/dev/` (softlink from `~/Documents/local-dev/`).
Organized in thematic folders:
| Folder | Focus | Count |
|--------|-------|-------|
| `GO/` | Go web frameworks, API integrations, learning projects | ~10 |
| `AI/` | ML research, AI frameworks (FinRL, DSPy, crawl4ai) | ~6 |
| `AGENTS/` | Autonomous agents, coding agents, MCP servers, infra | ~15 |
| `QKX/` | Invoice processing, financial automation, payment systems | ~13 |
| `XT/` | Climate data, sustainability (Klimatkollen, Garbo) | ~2 |
See `~/dev/PROJECT_SUMMARY.md` for detailed descriptions of each project.
### Key active projects
- **super-koala** (`AGENTS/`) — multi-component agent stack with LangGraph, DSPy, MCP
- **azure-tiger** (`QKX/`) — invoice extraction → ISO 20022 payment instructions
- **gocrwl** (`AGENTS/`) — Go web crawler with containerized deployment
- **koala-ai-stack** (`AGENTS/`) — local AI server infrastructure management
- **klimatkollen** (`XT/`) — Swedish municipal climate data platform
## Knowledge base
When available, agents can query the shared knowledge base:
- **MCP**: `mcp://hyperguild.<TAILNET>.ts.net:3100/knowledge`
- **HTTP**: `http://hyperguild.<TAILNET>.ts.net:3100/api/v1/search`
<!-- TODO: replace <TAILNET> placeholder with the real Tailscale tailnet
name once hyperguild is deployed. Until then, agents that try to
reach the knowledge service on a host where it isn't running will
get DNS NXDOMAIN, which is the desired fail-loudly behavior. -->
- **Scoping**: defaults to `public` collection; client projects filter to `{client}` + `public`
## Client work rules
When working on a project tagged with a client name:
1. Never send code, data, or context to cloud APIs — use local models only
2. Never reference other client projects or their data
3. Keep all artifacts within the client's git org / directory
4. Treat everything as confidential unless told otherwise
## Harness-agnostic principles
This context is designed to work with any AI coding tool:
- Claude Code, Cursor, Aider, Open WebUI, Charmbracelet Mods/Crush
- Pi Coding Agent, Mistral Vibe, Antigravity
- Any tool that accepts a system prompt or reads a markdown context file
The canonical source is always `.context/AGENT.md` (root) and `.context/PROJECT.md` (per-project).
Derived files are committed (see *How context propagates* below) so a `git pull` on any host yields full agent context with no setup.
## How context propagates
Canonical sources of truth:
- Universal: `~/dev/.context/AGENT.md` (this file)
- Project: `<repo>/.context/PROJECT.md` (per-repo)
Derived files (committed, regenerated by `task context:sync`):
- `CLAUDE.md`, `AGENTS.md`, `.cursorrules`, `.aider.conventions.md`,
`.context/system-prompt.txt`
Workflow:
1. Edit a canonical file. Run `task context:sync`. Commit canonical and
derived together. Push.
2. On any other host, `git pull` brings both. Claude Code (tree-walking)
uses `CLAUDE.md`; Crush / Pi / Antigravity (cwd-only) use `AGENTS.md`;
Cursor uses `.cursorrules`; Aider uses `.aider.conventions.md`.
3. `task check` runs `context:sync` then asserts `git status --porcelain`
is empty over the derived files (catches both modified-tracked drift
and missing-untracked adapters). A drift fails the check with a
message telling you to stage the regenerated files.
Behavior rules in this file and per-project rules in `PROJECT.md` apply
unconditionally on every host, every harness.
## Engineering Skills
Shared engineering skills are available in `~/dev/.skills/`. Load on demand via the index.
See `~/dev/.skills/SKILLS_INDEX.md` for the full list with descriptions and "use when" triggers.
Key skills:
- **TDD**: always write tests first — load `tdd` skill
- **Code Review**: load `code-review` skill before any review
- **SOLID/Clean Code**: load `solid` or `clean-code` skill for design work
- **Problem first**: load `problem-analysis` skill before coding non-trivial features
---
# Project context
<!-- Canonical project context. Edit this, run `task context:sync`.
Root agent context from ~/dev/.context/AGENT.md is automatically
prepended for harnesses that don't walk the directory tree. -->
## Identity
- **Name**: supervisor
- **Owner**: Mathias
- **Client**: personal
- **Repo**:
- **Status**: active
## Stack
- **Primary language**: Go
- **UI layer**: HTMX + Templ (when applicable)
- **Fallback languages**: Python, TypeScript (justify in PR if used)
- **Build**: Task (taskfile.dev), not Make
- **Containers**: Docker (compose for dev, k3s for deploy)
- **Target infra**: koala (GPU workloads), iguana (services), flamingo (edge)
## Conventions
### Code style
- Go: follow `golines`, `gofumpt`, `golangci-lint` with project config
- Tests: table-driven, in `_test.go` next to source, `testify` for assertions
- Errors: wrap with `fmt.Errorf("operation: %w", err)`, no naked returns
- Naming: stdlib conventions, no stuttering (`http.Client` not `http.HTTPClient`)
### Architecture preferences
- Prefer standard library over frameworks (net/http over gin/echo)
- Dependency injection via constructor functions, not containers
- Configuration via environment variables, parsed at startup into a typed struct
- Structured logging via `slog`
### Git
- Conventional commits: `feat:`, `fix:`, `chore:`, `docs:`, `refactor:`
- Branch naming: `feat/short-description`, `fix/short-description`
- PRs: one concern per PR, description explains *why* not *what*
### Security
- No secrets in code, ever — use env vars or SOPS-encrypted files
- Client data never leaves local network unless explicitly cleared
- Dependencies: audit with `govulncheck` before adding
## Knowledge base access
This project can query the shared knowledge base via MCP or HTTP:
- **MCP endpoint**: `mcp://localhost:3100/knowledge`
- **HTTP fallback**: `http://localhost:3100/api/v1/search`
- **Scoping**: queries are filtered to collection `personal` + `public`
## Agent instructions
When acting as a coding agent on this project:
1. Read this file and all `SKILL.md` files in `.skills/` before starting work
2. Run `task check` before committing (lint + test + vet)
3. If unsure about a convention, check `DECISIONS.md` or ask
4. Never modify files outside the project root without explicit permission
5. When adding a dependency, explain why in the commit message
6. For client projects: never send code or context to cloud APIs — use local models via LiteLLM
---

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@@ -0,0 +1,239 @@
# Cursor rules — auto-generated
# Do not edit. Run: task context:sync
# Agent context — Mathias workspace
<!-- Canonical root context for all AI coding agents.
Lives at: ~/dev/.context/AGENT.md
Applies to every project under ~/dev/ unless overridden.
Run `task context:sync` from ~/dev/ to regenerate harness-specific files.
Project-level context in .context/PROJECT.md layers on top of this. -->
## Who I am
I'm Mathias, a digital product manager and technology consultant based in Sweden.
I build software, research emerging tech, and deliver consulting engagements
for clients under NDA. I work across AI/ML, financial automation, web applications,
and climate/sustainability tech.
## How I work with agents
- I think like a product manager — I care about *why* before *how*
- I want agents to be opinionated and push back, not just execute blindly
- I prefer concise responses; skip ceremony and get to the point
- When I say "build this", I mean production-quality with tests, not a demo
- Ask me before making irreversible changes or adding heavy dependencies
- I work with confidential client data — never send it to cloud APIs unless I explicitly say it's OK
## Behavior rules
These rules apply to every task across every project, regardless of harness.
1. **No assumptions.** Don't hide confusion — surface it. Surface tradeoffs explicitly.
Think before coding; if the problem is unclear, ask or state assumptions before acting.
2. **Minimum viable code.** Solve with the smallest change that works. Nothing
speculative, no "while we're here" cleanups, no premature abstractions. Simplicity first.
3. **Surgical changes.** Touch only what the task requires. Leave unrelated code,
files, and formatting alone. Diffs should be small and reviewable.
4. **Goal-driven execution.** Define clear success criteria up front for every task.
Loop — implement, verify, refine — until those criteria are met. Don't claim
completion without evidence (tests pass, command output, observed behavior).
## Default stack
| Layer | Default | Fallback | Last resort |
|-------|---------|----------|-------------|
| Language | Go | Python | TypeScript, Java, C |
| UI | HTMX + Templ | Server-rendered HTML | React (only if SPA is justified) |
| Build | Task (taskfile.dev) | Make | — |
| Containers | Docker Compose (dev), k3s (prod) | — | — |
| DB | PostgreSQL + sqlc | SQLite | — |
| Search | Qdrant (vector), BM25 | — | — |
| Logging | slog (structured) | — | — |
| Testing | Table-driven, testify | — | — |
Exploratory: Rust, Zig — I'll tell you when I want these.
## Code conventions
- **Go style**: golines, gofumpt, golangci-lint
- **Errors**: `fmt.Errorf("operation: %w", err)` — never naked, never log-and-return
- **Naming**: stdlib conventions, no stuttering
- **Architecture**: prefer stdlib over frameworks, constructor injection, env-var config parsed into typed structs
- **Git**: conventional commits (`feat:`, `fix:`, `chore:`), one concern per PR, PR describes *why* not *what*
- **Security**: no secrets in code, govulncheck before adding deps, SOPS for encrypted config
- **Dependencies**: prefer stdlib. testify, slog, templ, sqlc are pre-approved; anything else needs justification in the commit message
## Infrastructure
Three machines on Tailscale:
| Machine | Role | Key specs |
|---------|------|-----------|
| koala | GPU inference, heavy compute | RTX 5070, runs llama-swap, Qdrant |
| iguana | Services, builds | M2 Ultra Mac |
| flamingo | Daily driver, edge | Mac mini, ~/dev is here |
- **Model routing**: LiteLLM in front of llama-swap (local) + cloud APIs (when permitted)
- **Orchestration**: k3s cluster across all three machines
- **Networking**: Tailscale mesh
## Project landscape
All development repos live at `~/dev/` (softlink from `~/Documents/local-dev/`).
Organized in thematic folders:
| Folder | Focus | Count |
|--------|-------|-------|
| `GO/` | Go web frameworks, API integrations, learning projects | ~10 |
| `AI/` | ML research, AI frameworks (FinRL, DSPy, crawl4ai) | ~6 |
| `AGENTS/` | Autonomous agents, coding agents, MCP servers, infra | ~15 |
| `QKX/` | Invoice processing, financial automation, payment systems | ~13 |
| `XT/` | Climate data, sustainability (Klimatkollen, Garbo) | ~2 |
See `~/dev/PROJECT_SUMMARY.md` for detailed descriptions of each project.
### Key active projects
- **super-koala** (`AGENTS/`) — multi-component agent stack with LangGraph, DSPy, MCP
- **azure-tiger** (`QKX/`) — invoice extraction → ISO 20022 payment instructions
- **gocrwl** (`AGENTS/`) — Go web crawler with containerized deployment
- **koala-ai-stack** (`AGENTS/`) — local AI server infrastructure management
- **klimatkollen** (`XT/`) — Swedish municipal climate data platform
## Knowledge base
When available, agents can query the shared knowledge base:
- **MCP**: `mcp://hyperguild.<TAILNET>.ts.net:3100/knowledge`
- **HTTP**: `http://hyperguild.<TAILNET>.ts.net:3100/api/v1/search`
<!-- TODO: replace <TAILNET> placeholder with the real Tailscale tailnet
name once hyperguild is deployed. Until then, agents that try to
reach the knowledge service on a host where it isn't running will
get DNS NXDOMAIN, which is the desired fail-loudly behavior. -->
- **Scoping**: defaults to `public` collection; client projects filter to `{client}` + `public`
## Client work rules
When working on a project tagged with a client name:
1. Never send code, data, or context to cloud APIs — use local models only
2. Never reference other client projects or their data
3. Keep all artifacts within the client's git org / directory
4. Treat everything as confidential unless told otherwise
## Harness-agnostic principles
This context is designed to work with any AI coding tool:
- Claude Code, Cursor, Aider, Open WebUI, Charmbracelet Mods/Crush
- Pi Coding Agent, Mistral Vibe, Antigravity
- Any tool that accepts a system prompt or reads a markdown context file
The canonical source is always `.context/AGENT.md` (root) and `.context/PROJECT.md` (per-project).
Derived files are committed (see *How context propagates* below) so a `git pull` on any host yields full agent context with no setup.
## How context propagates
Canonical sources of truth:
- Universal: `~/dev/.context/AGENT.md` (this file)
- Project: `<repo>/.context/PROJECT.md` (per-repo)
Derived files (committed, regenerated by `task context:sync`):
- `CLAUDE.md`, `AGENTS.md`, `.cursorrules`, `.aider.conventions.md`,
`.context/system-prompt.txt`
Workflow:
1. Edit a canonical file. Run `task context:sync`. Commit canonical and
derived together. Push.
2. On any other host, `git pull` brings both. Claude Code (tree-walking)
uses `CLAUDE.md`; Crush / Pi / Antigravity (cwd-only) use `AGENTS.md`;
Cursor uses `.cursorrules`; Aider uses `.aider.conventions.md`.
3. `task check` runs `context:sync` then asserts `git status --porcelain`
is empty over the derived files (catches both modified-tracked drift
and missing-untracked adapters). A drift fails the check with a
message telling you to stage the regenerated files.
Behavior rules in this file and per-project rules in `PROJECT.md` apply
unconditionally on every host, every harness.
## Engineering Skills
Shared engineering skills are available in `~/dev/.skills/`. Load on demand via the index.
See `~/dev/.skills/SKILLS_INDEX.md` for the full list with descriptions and "use when" triggers.
Key skills:
- **TDD**: always write tests first — load `tdd` skill
- **Code Review**: load `code-review` skill before any review
- **SOLID/Clean Code**: load `solid` or `clean-code` skill for design work
- **Problem first**: load `problem-analysis` skill before coding non-trivial features
---
# Project context
<!-- Canonical project context. Edit this, run `task context:sync`.
Root agent context from ~/dev/.context/AGENT.md is automatically
prepended for harnesses that don't walk the directory tree. -->
## Identity
- **Name**: supervisor
- **Owner**: Mathias
- **Client**: personal
- **Repo**:
- **Status**: active
## Stack
- **Primary language**: Go
- **UI layer**: HTMX + Templ (when applicable)
- **Fallback languages**: Python, TypeScript (justify in PR if used)
- **Build**: Task (taskfile.dev), not Make
- **Containers**: Docker (compose for dev, k3s for deploy)
- **Target infra**: koala (GPU workloads), iguana (services), flamingo (edge)
## Conventions
### Code style
- Go: follow `golines`, `gofumpt`, `golangci-lint` with project config
- Tests: table-driven, in `_test.go` next to source, `testify` for assertions
- Errors: wrap with `fmt.Errorf("operation: %w", err)`, no naked returns
- Naming: stdlib conventions, no stuttering (`http.Client` not `http.HTTPClient`)
### Architecture preferences
- Prefer standard library over frameworks (net/http over gin/echo)
- Dependency injection via constructor functions, not containers
- Configuration via environment variables, parsed at startup into a typed struct
- Structured logging via `slog`
### Git
- Conventional commits: `feat:`, `fix:`, `chore:`, `docs:`, `refactor:`
- Branch naming: `feat/short-description`, `fix/short-description`
- PRs: one concern per PR, description explains *why* not *what*
### Security
- No secrets in code, ever — use env vars or SOPS-encrypted files
- Client data never leaves local network unless explicitly cleared
- Dependencies: audit with `govulncheck` before adding
## Knowledge base access
This project can query the shared knowledge base via MCP or HTTP:
- **MCP endpoint**: `mcp://localhost:3100/knowledge`
- **HTTP fallback**: `http://localhost:3100/api/v1/search`
- **Scoping**: queries are filtered to collection `personal` + `public`
## Agent instructions
When acting as a coding agent on this project:
1. Read this file and all `SKILL.md` files in `.skills/` before starting work
2. Run `task check` before committing (lint + test + vet)
3. If unsure about a convention, check `DECISIONS.md` or ask
4. Never modify files outside the project root without explicit permission
5. When adding a dependency, explain why in the commit message
6. For client projects: never send code or context to cloud APIs — use local models via LiteLLM

8
.gitignore vendored
View File

@@ -13,15 +13,7 @@ brain/training-data/**/*.jsonl
# Go
vendor/
# ── Generated context files (adapter outputs) ──
# Canonical sources: .context/PROJECT.md + .skills/*/SKILL.md
# Everything below is disposable — regenerate with: task context:sync
AGENTS.md
CLAUDE.md
.cursorrules
.aider.conventions.md
.aider.conf.yml
.context/system-prompt.txt
# ── Sensitive ──
.env

View File

@@ -1,10 +1,8 @@
{
"mcpServers": {
"supervisor": {
"command": "/Users/mathias/dev/AI/supervisor/bin/supervisor-bridge",
"env": {
"SUPERVISOR_URL": "http://koala:30320/mcp"
}
"type": "http",
"url": "http://koala:30320/mcp"
}
}
}

236
AGENTS.md Normal file
View File

@@ -0,0 +1,236 @@
# Agent context — Mathias workspace
<!-- Canonical root context for all AI coding agents.
Lives at: ~/dev/.context/AGENT.md
Applies to every project under ~/dev/ unless overridden.
Run `task context:sync` from ~/dev/ to regenerate harness-specific files.
Project-level context in .context/PROJECT.md layers on top of this. -->
## Who I am
I'm Mathias, a digital product manager and technology consultant based in Sweden.
I build software, research emerging tech, and deliver consulting engagements
for clients under NDA. I work across AI/ML, financial automation, web applications,
and climate/sustainability tech.
## How I work with agents
- I think like a product manager — I care about *why* before *how*
- I want agents to be opinionated and push back, not just execute blindly
- I prefer concise responses; skip ceremony and get to the point
- When I say "build this", I mean production-quality with tests, not a demo
- Ask me before making irreversible changes or adding heavy dependencies
- I work with confidential client data — never send it to cloud APIs unless I explicitly say it's OK
## Behavior rules
These rules apply to every task across every project, regardless of harness.
1. **No assumptions.** Don't hide confusion — surface it. Surface tradeoffs explicitly.
Think before coding; if the problem is unclear, ask or state assumptions before acting.
2. **Minimum viable code.** Solve with the smallest change that works. Nothing
speculative, no "while we're here" cleanups, no premature abstractions. Simplicity first.
3. **Surgical changes.** Touch only what the task requires. Leave unrelated code,
files, and formatting alone. Diffs should be small and reviewable.
4. **Goal-driven execution.** Define clear success criteria up front for every task.
Loop — implement, verify, refine — until those criteria are met. Don't claim
completion without evidence (tests pass, command output, observed behavior).
## Default stack
| Layer | Default | Fallback | Last resort |
|-------|---------|----------|-------------|
| Language | Go | Python | TypeScript, Java, C |
| UI | HTMX + Templ | Server-rendered HTML | React (only if SPA is justified) |
| Build | Task (taskfile.dev) | Make | — |
| Containers | Docker Compose (dev), k3s (prod) | — | — |
| DB | PostgreSQL + sqlc | SQLite | — |
| Search | Qdrant (vector), BM25 | — | — |
| Logging | slog (structured) | — | — |
| Testing | Table-driven, testify | — | — |
Exploratory: Rust, Zig — I'll tell you when I want these.
## Code conventions
- **Go style**: golines, gofumpt, golangci-lint
- **Errors**: `fmt.Errorf("operation: %w", err)` — never naked, never log-and-return
- **Naming**: stdlib conventions, no stuttering
- **Architecture**: prefer stdlib over frameworks, constructor injection, env-var config parsed into typed structs
- **Git**: conventional commits (`feat:`, `fix:`, `chore:`), one concern per PR, PR describes *why* not *what*
- **Security**: no secrets in code, govulncheck before adding deps, SOPS for encrypted config
- **Dependencies**: prefer stdlib. testify, slog, templ, sqlc are pre-approved; anything else needs justification in the commit message
## Infrastructure
Three machines on Tailscale:
| Machine | Role | Key specs |
|---------|------|-----------|
| koala | GPU inference, heavy compute | RTX 5070, runs llama-swap, Qdrant |
| iguana | Services, builds | M2 Ultra Mac |
| flamingo | Daily driver, edge | Mac mini, ~/dev is here |
- **Model routing**: LiteLLM in front of llama-swap (local) + cloud APIs (when permitted)
- **Orchestration**: k3s cluster across all three machines
- **Networking**: Tailscale mesh
## Project landscape
All development repos live at `~/dev/` (softlink from `~/Documents/local-dev/`).
Organized in thematic folders:
| Folder | Focus | Count |
|--------|-------|-------|
| `GO/` | Go web frameworks, API integrations, learning projects | ~10 |
| `AI/` | ML research, AI frameworks (FinRL, DSPy, crawl4ai) | ~6 |
| `AGENTS/` | Autonomous agents, coding agents, MCP servers, infra | ~15 |
| `QKX/` | Invoice processing, financial automation, payment systems | ~13 |
| `XT/` | Climate data, sustainability (Klimatkollen, Garbo) | ~2 |
See `~/dev/PROJECT_SUMMARY.md` for detailed descriptions of each project.
### Key active projects
- **super-koala** (`AGENTS/`) — multi-component agent stack with LangGraph, DSPy, MCP
- **azure-tiger** (`QKX/`) — invoice extraction → ISO 20022 payment instructions
- **gocrwl** (`AGENTS/`) — Go web crawler with containerized deployment
- **koala-ai-stack** (`AGENTS/`) — local AI server infrastructure management
- **klimatkollen** (`XT/`) — Swedish municipal climate data platform
## Knowledge base
When available, agents can query the shared knowledge base:
- **MCP**: `mcp://hyperguild.<TAILNET>.ts.net:3100/knowledge`
- **HTTP**: `http://hyperguild.<TAILNET>.ts.net:3100/api/v1/search`
<!-- TODO: replace <TAILNET> placeholder with the real Tailscale tailnet
name once hyperguild is deployed. Until then, agents that try to
reach the knowledge service on a host where it isn't running will
get DNS NXDOMAIN, which is the desired fail-loudly behavior. -->
- **Scoping**: defaults to `public` collection; client projects filter to `{client}` + `public`
## Client work rules
When working on a project tagged with a client name:
1. Never send code, data, or context to cloud APIs — use local models only
2. Never reference other client projects or their data
3. Keep all artifacts within the client's git org / directory
4. Treat everything as confidential unless told otherwise
## Harness-agnostic principles
This context is designed to work with any AI coding tool:
- Claude Code, Cursor, Aider, Open WebUI, Charmbracelet Mods/Crush
- Pi Coding Agent, Mistral Vibe, Antigravity
- Any tool that accepts a system prompt or reads a markdown context file
The canonical source is always `.context/AGENT.md` (root) and `.context/PROJECT.md` (per-project).
Derived files are committed (see *How context propagates* below) so a `git pull` on any host yields full agent context with no setup.
## How context propagates
Canonical sources of truth:
- Universal: `~/dev/.context/AGENT.md` (this file)
- Project: `<repo>/.context/PROJECT.md` (per-repo)
Derived files (committed, regenerated by `task context:sync`):
- `CLAUDE.md`, `AGENTS.md`, `.cursorrules`, `.aider.conventions.md`,
`.context/system-prompt.txt`
Workflow:
1. Edit a canonical file. Run `task context:sync`. Commit canonical and
derived together. Push.
2. On any other host, `git pull` brings both. Claude Code (tree-walking)
uses `CLAUDE.md`; Crush / Pi / Antigravity (cwd-only) use `AGENTS.md`;
Cursor uses `.cursorrules`; Aider uses `.aider.conventions.md`.
3. `task check` runs `context:sync` then asserts `git status --porcelain`
is empty over the derived files (catches both modified-tracked drift
and missing-untracked adapters). A drift fails the check with a
message telling you to stage the regenerated files.
Behavior rules in this file and per-project rules in `PROJECT.md` apply
unconditionally on every host, every harness.
## Engineering Skills
Shared engineering skills are available in `~/dev/.skills/`. Load on demand via the index.
See `~/dev/.skills/SKILLS_INDEX.md` for the full list with descriptions and "use when" triggers.
Key skills:
- **TDD**: always write tests first — load `tdd` skill
- **Code Review**: load `code-review` skill before any review
- **SOLID/Clean Code**: load `solid` or `clean-code` skill for design work
- **Problem first**: load `problem-analysis` skill before coding non-trivial features
---
# Project context
<!-- Canonical project context. Edit this, run `task context:sync`.
Root agent context from ~/dev/.context/AGENT.md is automatically
prepended for harnesses that don't walk the directory tree. -->
## Identity
- **Name**: supervisor
- **Owner**: Mathias
- **Client**: personal
- **Repo**:
- **Status**: active
## Stack
- **Primary language**: Go
- **UI layer**: HTMX + Templ (when applicable)
- **Fallback languages**: Python, TypeScript (justify in PR if used)
- **Build**: Task (taskfile.dev), not Make
- **Containers**: Docker (compose for dev, k3s for deploy)
- **Target infra**: koala (GPU workloads), iguana (services), flamingo (edge)
## Conventions
### Code style
- Go: follow `golines`, `gofumpt`, `golangci-lint` with project config
- Tests: table-driven, in `_test.go` next to source, `testify` for assertions
- Errors: wrap with `fmt.Errorf("operation: %w", err)`, no naked returns
- Naming: stdlib conventions, no stuttering (`http.Client` not `http.HTTPClient`)
### Architecture preferences
- Prefer standard library over frameworks (net/http over gin/echo)
- Dependency injection via constructor functions, not containers
- Configuration via environment variables, parsed at startup into a typed struct
- Structured logging via `slog`
### Git
- Conventional commits: `feat:`, `fix:`, `chore:`, `docs:`, `refactor:`
- Branch naming: `feat/short-description`, `fix/short-description`
- PRs: one concern per PR, description explains *why* not *what*
### Security
- No secrets in code, ever — use env vars or SOPS-encrypted files
- Client data never leaves local network unless explicitly cleared
- Dependencies: audit with `govulncheck` before adding
## Knowledge base access
This project can query the shared knowledge base via MCP or HTTP:
- **MCP endpoint**: `mcp://localhost:3100/knowledge`
- **HTTP fallback**: `http://localhost:3100/api/v1/search`
- **Scoping**: queries are filtered to collection `personal` + `public`
## Agent instructions
When acting as a coding agent on this project:
1. Read this file and all `SKILL.md` files in `.skills/` before starting work
2. Run `task check` before committing (lint + test + vet)
3. If unsure about a convention, check `DECISIONS.md` or ask
4. Never modify files outside the project root without explicit permission
5. When adding a dependency, explain why in the commit message
6. For client projects: never send code or context to cloud APIs — use local models via LiteLLM

65
CLAUDE.md Normal file
View File

@@ -0,0 +1,65 @@
# Project context
<!-- Canonical project context. Edit this, run `task context:sync`.
Root agent context from ~/dev/.context/AGENT.md is automatically
prepended for harnesses that don't walk the directory tree. -->
## Identity
- **Name**: supervisor
- **Owner**: Mathias
- **Client**: personal
- **Repo**:
- **Status**: active
## Stack
- **Primary language**: Go
- **UI layer**: HTMX + Templ (when applicable)
- **Fallback languages**: Python, TypeScript (justify in PR if used)
- **Build**: Task (taskfile.dev), not Make
- **Containers**: Docker (compose for dev, k3s for deploy)
- **Target infra**: koala (GPU workloads), iguana (services), flamingo (edge)
## Conventions
### Code style
- Go: follow `golines`, `gofumpt`, `golangci-lint` with project config
- Tests: table-driven, in `_test.go` next to source, `testify` for assertions
- Errors: wrap with `fmt.Errorf("operation: %w", err)`, no naked returns
- Naming: stdlib conventions, no stuttering (`http.Client` not `http.HTTPClient`)
### Architecture preferences
- Prefer standard library over frameworks (net/http over gin/echo)
- Dependency injection via constructor functions, not containers
- Configuration via environment variables, parsed at startup into a typed struct
- Structured logging via `slog`
### Git
- Conventional commits: `feat:`, `fix:`, `chore:`, `docs:`, `refactor:`
- Branch naming: `feat/short-description`, `fix/short-description`
- PRs: one concern per PR, description explains *why* not *what*
### Security
- No secrets in code, ever — use env vars or SOPS-encrypted files
- Client data never leaves local network unless explicitly cleared
- Dependencies: audit with `govulncheck` before adding
## Knowledge base access
This project can query the shared knowledge base via MCP or HTTP:
- **MCP endpoint**: `mcp://localhost:3100/knowledge`
- **HTTP fallback**: `http://localhost:3100/api/v1/search`
- **Scoping**: queries are filtered to collection `personal` + `public`
## Agent instructions
When acting as a coding agent on this project:
1. Read this file and all `SKILL.md` files in `.skills/` before starting work
2. Run `task check` before committing (lint + test + vet)
3. If unsure about a convention, check `DECISIONS.md` or ask
4. Never modify files outside the project root without explicit permission
5. When adding a dependency, explain why in the commit message
6. For client projects: never send code or context to cloud APIs — use local models via LiteLLM

View File

@@ -10,10 +10,10 @@ into a searchable brain.
```
Your Claude Code session (in any project)
│ MCP tools (over stdio bridge → HTTP)
│ MCP over HTTP (Tailscale)
supervisor :3200 — skill workers: tdd, retrospective
ingestion :3300 — brain HTTP API: query wiki, write notes
supervisor :3200 (NodePort 30320 on koala) — skill workers: tdd, retrospective
ingestion :3300 — brain HTTP API: query wiki, write notes
brain/
@@ -55,18 +55,18 @@ Create `.mcp.json` in your project root:
{
"mcpServers": {
"supervisor": {
"command": "/Users/mathias/dev/AI/supervisor/bin/supervisor-bridge",
"env": {
"SUPERVISOR_URL": "http://localhost:3200/mcp"
}
"type": "http",
"url": "http://koala:30320/mcp"
}
}
}
```
Build the bridge binary once: `task bridge:build`
The supervisor MCP server is reachable over Tailscale at `koala:30320` (NodePort
to the in-cluster service on port 3200). No local binary or stdio shim is
required — Claude Code talks to it directly via HTTP.
Then open Claude Code in your project — run `/mcp` to confirm `supervisor` is listed.
Open Claude Code in your project — run `/mcp` to confirm `supervisor` is listed.
## A typical TDD session

View File

@@ -12,9 +12,6 @@ tasks:
desc: Regenerate all harness-specific context files
cmds:
- bash scripts/context-sync.sh
sources:
- .context/PROJECT.md
- .skills/*/SKILL.md
context:sync:claude:
cmds: [bash scripts/context-sync.sh claude]
@@ -57,7 +54,6 @@ tasks:
desc: Build all binaries
cmds:
- task: supervisor:build
- task: bridge:build
- task: ingestion:build
supervisor:build:
@@ -65,11 +61,6 @@ tasks:
cmds:
- go build -trimpath -ldflags="-s -w -X main.version={{.VERSION}}" -o bin/supervisor ./cmd/supervisor
bridge:build:
desc: Build stdio↔HTTP bridge for Claude Code MCP integration
cmds:
- go build -trimpath -ldflags="-s -w" -o bin/supervisor-bridge ./cmd/bridge
ingestion:build:
desc: Build ingestion server binary
dir: ingestion
@@ -79,8 +70,20 @@ tasks:
# ── Quality ────────────────────────────────────────────────────────────────
check:
desc: Run all checks (lint + test + vet) across all modules
desc: Run all checks (context freshness + lint + test + vet) across all modules
cmds:
- task: context:sync
- cmd: |
drift=$(git status --porcelain -- AGENTS.md CLAUDE.md .cursorrules .aider.conventions.md .context/system-prompt.txt 2>/dev/null)
if [ -n "$drift" ]; then
echo "ERROR: derived adapters drifted from canonical context." >&2
echo "$drift" >&2
echo "" >&2
echo "Run: git add AGENTS.md CLAUDE.md .cursorrules .aider.conventions.md .context/system-prompt.txt" >&2
echo " git commit -m 'chore: re-sync context adapters'" >&2
exit 1
fi
echo "✓ context: canonical and adapters are in sync"
- task: lint
- task: test
- task: vet

View File

@@ -1,59 +0,0 @@
// bridge is a stdio↔HTTP adapter that lets Claude Code connect to the
// supervisor MCP server via the stdio transport.
//
// Claude Code spawns this binary as a subprocess and communicates over
// stdin/stdout. Each newline-delimited JSON-RPC message from stdin is
// forwarded to the supervisor HTTP server and the response is written back.
//
// Usage:
//
// SUPERVISOR_URL=http://localhost:3200/mcp bridge
package main
import (
"bufio"
"bytes"
"fmt"
"io"
"net/http"
"os"
)
func main() {
url := os.Getenv("SUPERVISOR_URL")
if url == "" {
url = "http://localhost:3200/mcp"
}
client := &http.Client{}
scanner := bufio.NewScanner(os.Stdin)
scanner.Buffer(make([]byte, 1024*1024), 1024*1024)
for scanner.Scan() {
line := scanner.Bytes()
if len(bytes.TrimSpace(line)) == 0 {
continue
}
req, err := http.NewRequest(http.MethodPost, url, bytes.NewReader(line))
if err != nil {
fmt.Fprintf(os.Stderr, "bridge: build request: %v\n", err)
continue
}
req.Header.Set("Content-Type", "application/json")
resp, err := client.Do(req)
if err != nil {
fmt.Fprintf(os.Stderr, "bridge: request failed: %v\n", err)
continue
}
_, _ = io.Copy(os.Stdout, resp.Body)
_ = resp.Body.Close()
_, _ = os.Stdout.Write([]byte("\n"))
}
if err := scanner.Err(); err != nil {
fmt.Fprintf(os.Stderr, "bridge: scanner: %v\n", err)
os.Exit(1)
}
}

View File

@@ -43,6 +43,11 @@ func (s *Server) ServeHTTP(w http.ResponseWriter, r *http.Request) {
return
}
// JSON-RPC 2.0 notifications (no id) must not receive a response.
if req.ID == nil {
return
}
var result any
var rpcErr *rpcError

View File

@@ -5,6 +5,7 @@ import (
"encoding/json"
"net/http"
"net/http/httptest"
"strings"
"testing"
"github.com/mathiasbq/supervisor/internal/mcp"
@@ -76,3 +77,39 @@ func TestMCPUnknownMethod(t *testing.T) {
require.NoError(t, json.Unmarshal(rr.Body.Bytes(), &resp))
assert.NotNil(t, resp["error"])
}
func TestMCPNotificationKnownMethodGetsNoResponseBody(t *testing.T) {
reg := registry.New()
srv := mcp.NewServer(reg)
// JSON-RPC 2.0 notification: "id" field absent. Per spec, server MUST NOT
// reply. notifications/initialized is part of the standard MCP handshake.
req := httptest.NewRequest(http.MethodPost, "/mcp", jsonBody(t, map[string]any{
"jsonrpc": "2.0",
"method": "notifications/initialized",
}))
req.Header.Set("Content-Type", "application/json")
rr := httptest.NewRecorder()
srv.ServeHTTP(rr, req)
assert.Equal(t, http.StatusOK, rr.Code)
assert.Empty(t, strings.TrimSpace(rr.Body.String()),
"notifications must not receive a response body")
}
func TestMCPNotificationUnknownMethodGetsNoResponseBody(t *testing.T) {
reg := registry.New()
srv := mcp.NewServer(reg)
req := httptest.NewRequest(http.MethodPost, "/mcp", jsonBody(t, map[string]any{
"jsonrpc": "2.0",
"method": "notifications/totally-unknown",
}))
req.Header.Set("Content-Type", "application/json")
rr := httptest.NewRecorder()
srv.ServeHTTP(rr, req)
assert.Equal(t, http.StatusOK, rr.Code)
assert.Empty(t, strings.TrimSpace(rr.Body.String()),
"unknown notifications must also receive no response body")
}