9 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
Mathias Bergqvist
0a70d9e972 feat(pipeline): add POST /ingest-raw for direct batch ingestion without LLM
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Allows callers to provide pre-structured RawPage data directly, bypassing the
LLM extraction step. The pipeline still handles slug computation, frontmatter,
link canonicalization, source back-references, and dedup — only the extraction
is skipped. Useful when a more capable model or manual curation produces the
structured data.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 11:15:59 +02:00
Mathias Bergqvist
3e9a648115 fix(pipeline): repair invalid JSON escape sequences from LLM output before parsing
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-23 22:04:27 +02:00
20 changed files with 1366 additions and 101 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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# 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 # Go
vendor/ 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 .aider.conf.yml
.context/system-prompt.txt
# ── Sensitive ── # ── Sensitive ──
.env .env

View File

@@ -1,10 +1,8 @@
{ {
"mcpServers": { "mcpServers": {
"supervisor": { "supervisor": {
"command": "/Users/mathias/dev/AI/supervisor/bin/supervisor-bridge", "type": "http",
"env": { "url": "http://koala:30320/mcp"
"SUPERVISOR_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) Your Claude Code session (in any project)
│ MCP tools (over stdio bridge → HTTP) │ MCP over HTTP (Tailscale)
supervisor :3200 — skill workers: tdd, retrospective supervisor :3200 (NodePort 30320 on koala) — skill workers: tdd, retrospective
ingestion :3300 — brain HTTP API: query wiki, write notes ingestion :3300 — brain HTTP API: query wiki, write notes
brain/ brain/
@@ -55,18 +55,18 @@ Create `.mcp.json` in your project root:
{ {
"mcpServers": { "mcpServers": {
"supervisor": { "supervisor": {
"command": "/Users/mathias/dev/AI/supervisor/bin/supervisor-bridge", "type": "http",
"env": { "url": "http://koala:30320/mcp"
"SUPERVISOR_URL": "http://localhost:3200/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 ## A typical TDD session

View File

@@ -12,9 +12,6 @@ tasks:
desc: Regenerate all harness-specific context files desc: Regenerate all harness-specific context files
cmds: cmds:
- bash scripts/context-sync.sh - bash scripts/context-sync.sh
sources:
- .context/PROJECT.md
- .skills/*/SKILL.md
context:sync:claude: context:sync:claude:
cmds: [bash scripts/context-sync.sh claude] cmds: [bash scripts/context-sync.sh claude]
@@ -57,7 +54,6 @@ tasks:
desc: Build all binaries desc: Build all binaries
cmds: cmds:
- task: supervisor:build - task: supervisor:build
- task: bridge:build
- task: ingestion:build - task: ingestion:build
supervisor:build: supervisor:build:
@@ -65,11 +61,6 @@ tasks:
cmds: cmds:
- go build -trimpath -ldflags="-s -w -X main.version={{.VERSION}}" -o bin/supervisor ./cmd/supervisor - 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: ingestion:build:
desc: Build ingestion server binary desc: Build ingestion server binary
dir: ingestion dir: ingestion
@@ -79,8 +70,20 @@ tasks:
# ── Quality ──────────────────────────────────────────────────────────────── # ── Quality ────────────────────────────────────────────────────────────────
check: check:
desc: Run all checks (lint + test + vet) across all modules desc: Run all checks (context freshness + lint + test + vet) across all modules
cmds: 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: lint
- task: test - task: test
- task: vet - 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

@@ -68,6 +68,7 @@ func main() {
mux.HandleFunc("POST /write", h.Write) mux.HandleFunc("POST /write", h.Write)
mux.HandleFunc("POST /ingest", h.Ingest) mux.HandleFunc("POST /ingest", h.Ingest)
mux.HandleFunc("POST /ingest-path", h.IngestPath) mux.HandleFunc("POST /ingest-path", h.IngestPath)
mux.HandleFunc("POST /ingest-raw", h.IngestRaw)
mux.HandleFunc("POST /backfill-refs", h.BackfillRefs) mux.HandleFunc("POST /backfill-refs", h.BackfillRefs)
addr := ":" + port addr := ":" + port

View File

@@ -272,6 +272,48 @@ func (h *Handler) IngestPath(w http.ResponseWriter, r *http.Request) {
writeJSON(w, ingestResponse{Pages: allPages, Warnings: allWarnings}) writeJSON(w, ingestResponse{Pages: allPages, Warnings: allWarnings})
} }
type ingestRawRequest struct {
Source string `json:"source"`
Pages []pipeline.RawPage `json:"pages"`
DryRun bool `json:"dry_run"`
}
// IngestRaw handles POST /ingest-raw — run the pipeline on pre-parsed RawPages,
// skipping the LLM extraction step. Use when the caller has already produced
// structured page data (e.g. from a more capable model or manual curation).
func (h *Handler) IngestRaw(w http.ResponseWriter, r *http.Request) {
var req ingestRawRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
writeError(w, http.StatusBadRequest, "invalid JSON")
return
}
if strings.TrimSpace(req.Source) == "" {
writeError(w, http.StatusBadRequest, "source is required")
return
}
if len(req.Pages) == 0 {
writeError(w, http.StatusBadRequest, "pages is required and must be non-empty")
return
}
result, err := pipeline.RunRaw(h.brainDir, req.Source, req.Pages, req.DryRun)
if err != nil {
h.logger.Error("ingest-raw failed", "source", req.Source, "err", err)
writeError(w, http.StatusInternalServerError, "ingest error")
return
}
pages := result.Pages
if pages == nil {
pages = []string{}
}
warnings := result.Warnings
if warnings == nil {
warnings = []string{}
}
writeJSON(w, ingestResponse{Pages: pages, Warnings: warnings})
}
// BackfillRefs handles POST /backfill-refs — injects source back-references // BackfillRefs handles POST /backfill-refs — injects source back-references
// into all concept and entity pages based on existing wiki/sources/ pages. // into all concept and entity pages based on existing wiki/sources/ pages.
func (h *Handler) BackfillRefs(w http.ResponseWriter, r *http.Request) { func (h *Handler) BackfillRefs(w http.ResponseWriter, r *http.Request) {

View File

@@ -226,6 +226,85 @@ func TestIngestPath_File(t *testing.T) {
assert.NotEmpty(t, pagesSlice) assert.NotEmpty(t, pagesSlice)
} }
// ---------------------------------------------------------------------------
// POST /ingest-raw
// ---------------------------------------------------------------------------
func TestIngestRaw_Validation(t *testing.T) {
cases := []struct {
name string
body map[string]any
}{
{"missing source", map[string]any{"pages": []any{map[string]any{"title": "X", "type": "concept", "content": "x"}}}},
{"missing pages", map[string]any{"source": "test-source"}},
{"empty pages", map[string]any{"source": "test-source", "pages": []any{}}},
}
for _, tc := range cases {
t.Run(tc.name, func(t *testing.T) {
_, h := setup(t)
body, _ := json.Marshal(tc.body)
req := httptest.NewRequest(http.MethodPost, "/ingest-raw", bytes.NewReader(body))
rec := httptest.NewRecorder()
h.IngestRaw(rec, req)
assert.Equal(t, http.StatusBadRequest, rec.Code)
})
}
}
func TestIngestRaw_Success(t *testing.T) {
dir, h := setup(t)
body, _ := json.Marshal(map[string]any{
"source": "test-article",
"pages": []any{
map[string]any{"title": "Test Article", "type": "source", "subtype": "article", "domain": "Testing", "content": "## Summary\n\nThis is a test article about [[Test Concept]].\n"},
map[string]any{"title": "Test Concept", "type": "concept", "domain": "Testing", "content": "A concept for testing.\n"},
},
})
req := httptest.NewRequest(http.MethodPost, "/ingest-raw", bytes.NewReader(body))
rec := httptest.NewRecorder()
h.IngestRaw(rec, req)
require.Equal(t, http.StatusOK, rec.Code)
var resp map[string]any
require.NoError(t, json.Unmarshal(rec.Body.Bytes(), &resp))
pages := resp["pages"].([]any)
assert.Len(t, pages, 2)
// Verify files were written
sourcePath := filepath.Join(dir, "wiki", "sources", "test-article.md")
assert.FileExists(t, sourcePath)
conceptPath := filepath.Join(dir, "wiki", "concepts", "test-concept.md")
assert.FileExists(t, conceptPath)
}
func TestIngestRaw_DryRun(t *testing.T) {
dir, h := setup(t)
body, _ := json.Marshal(map[string]any{
"source": "dry-run-test",
"pages": []any{
map[string]any{"title": "Dry Run Source", "type": "source", "subtype": "article", "content": "Content."},
},
"dry_run": true,
})
req := httptest.NewRequest(http.MethodPost, "/ingest-raw", bytes.NewReader(body))
rec := httptest.NewRecorder()
h.IngestRaw(rec, req)
require.Equal(t, http.StatusOK, rec.Code)
var resp map[string]any
require.NoError(t, json.Unmarshal(rec.Body.Bytes(), &resp))
pages := resp["pages"].([]any)
assert.NotEmpty(t, pages)
// Verify no files were written
sourcePath := filepath.Join(dir, "wiki", "sources", "dry-run-test.md")
assert.NoFileExists(t, sourcePath)
}
func TestIngestPath_Directory(t *testing.T) { func TestIngestPath_Directory(t *testing.T) {
_, h := setup(t) _, h := setup(t)

View File

@@ -18,7 +18,8 @@ type RawPage struct {
} }
// ParseRawPages parses LLM output as a JSON array of RawPage objects. // ParseRawPages parses LLM output as a JSON array of RawPage objects.
// If the array is truncated mid-object (token limit), it salvages all complete objects. // If the output contains invalid JSON escape sequences (e.g. \. from Markdown),
// it attempts repair before falling back to truncation recovery.
func ParseRawPages(output string) ([]RawPage, []string) { func ParseRawPages(output string) ([]RawPage, []string) {
output = strings.TrimSpace(output) output = strings.TrimSpace(output)
if output == "" { if output == "" {
@@ -27,23 +28,30 @@ func ParseRawPages(output string) ([]RawPage, []string) {
output = stripFences(output) output = stripFences(output)
// Fast path: valid JSON.
var pages []RawPage var pages []RawPage
if err := json.Unmarshal([]byte(output), &pages); err == nil { if err := json.Unmarshal([]byte(output), &pages); err == nil {
return pages, nil return pages, nil
} }
// Repair pass: fix invalid escape sequences (e.g. \. \d from Markdown content).
repaired := repairJSON(output)
if err := json.Unmarshal([]byte(repaired), &pages); err == nil {
return pages, []string{"repaired invalid JSON escape sequences in LLM output"}
}
// Truncation recovery: find last `}` that closes a complete object. // Truncation recovery: find last `}` that closes a complete object.
idx := strings.LastIndex(output, "}") idx := strings.LastIndex(repaired, "}")
if idx < 0 { if idx < 0 {
return nil, []string{"LLM output contained no complete JSON objects"} return nil, []string{"LLM output contained no complete JSON objects"}
} }
start := strings.Index(output, "[") start := strings.Index(repaired, "[")
if start < 0 { if start < 0 {
return nil, []string{"LLM output contained no JSON array opening bracket"} return nil, []string{"LLM output contained no JSON array opening bracket"}
} }
candidate := output[start:idx+1] + "]" candidate := repaired[start:idx+1] + "]"
if err := json.Unmarshal([]byte(candidate), &pages); err != nil { if err := json.Unmarshal([]byte(candidate), &pages); err != nil {
return nil, []string{fmt.Sprintf("truncation recovery failed: %v", err)} return nil, []string{fmt.Sprintf("truncation recovery failed: %v", err)}
} }
@@ -51,6 +59,45 @@ func ParseRawPages(output string) ([]RawPage, []string) {
return pages, []string{fmt.Sprintf("LLM output was truncated; recovered %d page(s)", len(pages))} return pages, []string{fmt.Sprintf("LLM output was truncated; recovered %d page(s)", len(pages))}
} }
// repairJSON replaces invalid JSON escape sequences (e.g. \. \d \p) with
// a properly escaped backslash followed by the same character.
// It iterates byte-by-byte to correctly skip already-valid escape sequences
// (including \\) without requiring lookbehind support.
func repairJSON(s string) string {
var b strings.Builder
b.Grow(len(s))
i := 0
for i < len(s) {
if s[i] != '\\' {
b.WriteByte(s[i])
i++
continue
}
// We have a backslash. Peek at the next character.
if i+1 >= len(s) {
// Trailing backslash — emit as-is.
b.WriteByte(s[i])
i++
continue
}
next := s[i+1]
switch next {
case '"', '\\', '/', 'b', 'f', 'n', 'r', 't', 'u':
// Valid JSON escape sequence — emit both characters as-is.
b.WriteByte(s[i])
b.WriteByte(next)
i += 2
default:
// Invalid escape — double the backslash.
b.WriteByte('\\')
b.WriteByte('\\')
b.WriteByte(next)
i += 2
}
}
return b.String()
}
func stripFences(s string) string { func stripFences(s string) string {
for _, prefix := range []string{"```json\n", "```json\r\n", "```\n", "```\r\n"} { for _, prefix := range []string{"```json\n", "```json\r\n", "```\n", "```\r\n"} {
if strings.HasPrefix(s, prefix) { if strings.HasPrefix(s, prefix) {

View File

@@ -59,3 +59,29 @@ func TestParseRawPages_MissingTitle(t *testing.T) {
assert.Empty(t, warnings) assert.Empty(t, warnings)
assert.Empty(t, pages[0].Title) assert.Empty(t, pages[0].Title)
} }
func TestParseRawPages_InvalidEscapeRepaired(t *testing.T) {
// LLM copied markdown escaped list numbers (\.) into JSON — invalid escape
raw := "[{\"title\":\"Foo\",\"type\":\"concept\",\"content\":\"Step 4\\. Do it.\"}]"
pages, warnings := ParseRawPages(raw)
require.Len(t, pages, 1)
assert.Equal(t, "Foo", pages[0].Title)
assert.Contains(t, pages[0].Content, `4\.`)
assert.NotEmpty(t, warnings) // repair warning
}
func TestRepairJSON_FixesInvalidEscapes(t *testing.T) {
cases := []struct {
in string
want string
}{
{`{"a":"foo\.bar"}`, `{"a":"foo\\.bar"}`},
{`{"a":"\\n is fine"}`, `{"a":"\\n is fine"}`}, // valid \n untouched
{`{"a":"\d+ items"}`, `{"a":"\\d+ items"}`},
{`{"a":"already \\ escaped"}`, `{"a":"already \\ escaped"}`}, // valid \\ untouched
}
for _, tc := range cases {
got := repairJSON(tc.in)
assert.Equal(t, tc.want, got, "input: %s", tc.in)
}
}

View File

@@ -59,11 +59,31 @@ func Run(ctx context.Context, cfg Config, brainDir, content, source string, dryR
allWarnings = append(allWarnings, warnings...) allWarnings = append(allWarnings, warnings...)
} }
pages, buildWarnings := BuildPages(allRaw, sourceSlug, date) return buildAndWrite(allRaw, sourceSlug, date, brainDir, source, inventory, allWarnings, dryRun)
allWarnings = append(allWarnings, buildWarnings...) }
// RunRaw runs the pipeline on pre-parsed RawPages, skipping the LLM extraction
// step. Use this when the caller has already produced the structured RawPage data
// (e.g. from a more capable model or manual curation).
func RunRaw(brainDir, source string, rawPages []RawPage, dryRun bool) (Result, error) {
inventory, err := wiki.LoadInventory(brainDir)
if err != nil {
return Result{}, fmt.Errorf("load inventory: %w", err)
}
sourceSlug := wiki.Slug(source)
date := time.Now().UTC().Format("2006-01-02")
return buildAndWrite(rawPages, sourceSlug, date, brainDir, source, inventory, nil, dryRun)
}
// buildAndWrite runs BuildPages through write for both Run and RunRaw.
func buildAndWrite(rawPages []RawPage, sourceSlug, date, brainDir, source string, inventory map[wiki.PageType][]wiki.Entry, warnings []string, dryRun bool) (Result, error) {
pages, buildWarnings := BuildPages(rawPages, sourceSlug, date)
warnings = append(warnings, buildWarnings...)
resolved := Resolve(pages, inventory) resolved := Resolve(pages, inventory)
canonicalized, linkWarnings := CanonicalizeLinks(resolved, inventory) canonicalized, linkWarnings := CanonicalizeLinks(resolved, inventory)
allWarnings = append(allWarnings, linkWarnings...) warnings = append(warnings, linkWarnings...)
withRefs := injectSourceRefs(canonicalized, inventory, brainDir) withRefs := injectSourceRefs(canonicalized, inventory, brainDir)
merged := mergeAll(withRefs) merged := mergeAll(withRefs)
@@ -83,14 +103,14 @@ func Run(ctx context.Context, cfg Config, brainDir, content, source string, dryR
if !dryRun { if !dryRun {
if err := wiki.RebuildIndex(brainDir, date); err != nil { if err := wiki.RebuildIndex(brainDir, date); err != nil {
allWarnings = append(allWarnings, fmt.Sprintf("rebuild index: %v", err)) warnings = append(warnings, fmt.Sprintf("rebuild index: %v", err))
} }
if err := wiki.AppendLog(brainDir, source, written, allWarnings, date); err != nil { if err := wiki.AppendLog(brainDir, source, written, warnings, date); err != nil {
allWarnings = append(allWarnings, fmt.Sprintf("append log: %v", err)) warnings = append(warnings, fmt.Sprintf("append log: %v", err))
} }
} }
return Result{Pages: written, Warnings: allWarnings}, nil return Result{Pages: written, Warnings: warnings}, nil
} }
// mergeAll deduplicates pages by path, merging content from later occurrences. // mergeAll deduplicates pages by path, merging content from later occurrences.

View File

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

View File

@@ -5,6 +5,7 @@ import (
"encoding/json" "encoding/json"
"net/http" "net/http"
"net/http/httptest" "net/http/httptest"
"strings"
"testing" "testing"
"github.com/mathiasbq/supervisor/internal/mcp" "github.com/mathiasbq/supervisor/internal/mcp"
@@ -76,3 +77,39 @@ func TestMCPUnknownMethod(t *testing.T) {
require.NoError(t, json.Unmarshal(rr.Body.Bytes(), &resp)) require.NoError(t, json.Unmarshal(rr.Body.Bytes(), &resp))
assert.NotNil(t, resp["error"]) 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")
}

View File

@@ -17,6 +17,8 @@ func (s *Skill) Handle(ctx context.Context, tool string, args json.RawMessage) (
return s.query(ctx, args) return s.query(ctx, args)
case "brain_write": case "brain_write":
return s.write(ctx, args) return s.write(ctx, args)
case "brain_ingest_raw":
return s.ingestRaw(ctx, args)
case "brain_ingest": case "brain_ingest":
return s.ingest(ctx, args) return s.ingest(ctx, args)
case "brain_search": case "brain_search":
@@ -98,6 +100,33 @@ func (s *Skill) ingest(ctx context.Context, args json.RawMessage) (json.RawMessa
return nil, fmt.Errorf("either content+source or path is required") return nil, fmt.Errorf("either content+source or path is required")
} }
type ingestRawArgs struct {
Source string `json:"source"`
Pages []any `json:"pages"`
DryRun bool `json:"dry_run,omitempty"`
}
func (s *Skill) ingestRaw(ctx context.Context, args json.RawMessage) (json.RawMessage, error) {
var a ingestRawArgs
if err := json.Unmarshal(args, &a); err != nil {
return nil, fmt.Errorf("parse args: %w", err)
}
if s.cfg.IngestSvcURL == "" {
return nil, fmt.Errorf("brain_ingest_raw: INGEST_SVC_URL not configured")
}
if a.Source == "" {
return nil, fmt.Errorf("source is required")
}
if len(a.Pages) == 0 {
return nil, fmt.Errorf("pages is required and must be non-empty")
}
return s.postTo(ctx, s.cfg.IngestSvcURL+"/ingest-raw", map[string]any{
"source": a.Source,
"pages": a.Pages,
"dry_run": a.DryRun,
})
}
type searchArgs struct { type searchArgs struct {
Query string `json:"query"` Query string `json:"query"`
Collection string `json:"collection,omitempty"` Collection string `json:"collection,omitempty"`

View File

@@ -55,6 +55,32 @@ func (s *Skill) Tools() []registry.ToolDef {
}, },
} }
if s.cfg.IngestSvcURL != "" { if s.cfg.IngestSvcURL != "" {
tools = append(tools, registry.ToolDef{
Name: "brain_ingest_raw",
Description: "Ingest pre-structured pages into the brain wiki, bypassing the LLM extraction step. " +
"Use when you (the calling agent) have already extracted entities, concepts, and content from a source. " +
"Provide source (human-readable name) and pages (array of {title, type, subtype, domain, content} objects). " +
"The pipeline computes slugs, paths, frontmatter, wikilink canonicalization, and source back-references. " +
"Returns the list of wiki pages written.",
InputSchema: schema([]string{"source", "pages"}, map[string]any{
"source": map[string]any{"type": "string", "description": "human-readable name for the source, e.g. 'shape-up-book'"},
"pages": map[string]any{
"type": "array",
"items": map[string]any{
"type": "object",
"required": []string{"title", "type", "content"},
"properties": map[string]any{
"title": map[string]any{"type": "string", "description": "page title, e.g. 'Hash Encoding'"},
"type": map[string]any{"type": "string", "enum": []string{"source", "concept", "entity"}, "description": "page type"},
"subtype": map[string]any{"type": "string", "description": "entity: person|company|tool|model|framework|technology; source: article|pdf|book|video|note|project"},
"domain": map[string]any{"type": "string", "description": "knowledge domain, e.g. 'Machine Learning'"},
"content": map[string]any{"type": "string", "description": "markdown body — no frontmatter, use [[Display Name]] for wikilinks"},
},
},
},
"dry_run": map[string]any{"type": "boolean"},
}),
})
tools = append(tools, registry.ToolDef{ tools = append(tools, registry.ToolDef{
Name: "brain_ingest", Name: "brain_ingest",
Description: "Ingest content into the brain wiki (brain/wiki/). Calls an LLM to produce structured wiki pages. " + Description: "Ingest content into the brain wiki (brain/wiki/). Calls an LLM to produce structured wiki pages. " +