Prod Opencode Instance Inspection

Prod OpenCode Instance Inspection

Use this skill when you need to inspect Birdhouse production workspaces and verify what each running OpenCode instance is actually exposing.

Goal

Find:

• the production Birdhouse server
• the active workspaces
• each workspace directory
• the running OpenCode port and pid for each workspace
• the workspace health response
• the tools and config for the correct workspace directory

Critical Rule

When querying a raw OpenCode port, always include the workspace directory in the request.

Why:

• OpenCode server routes default to process.cwd() when no directory is provided.
• Birdhouse-launched OpenCode processes can belong to workspace X while still resolving config for the server's current working directory if you omit directory.
• This can produce false positives, especially when the Birdhouse repo has a local .opencode/opencode.json that injects extra plugins.

Step 1: Verify Birdhouse server is running

curl -sf http://127.0.0.1:50100/api/health

If this fails, confirm the Birdhouse launcher and server processes:

ps -ax -o pid=,command= | rg "$HOME/.birdhouse/dist/(birdhouse|server|opencode)"

Step 2: Find production workspaces and their OpenCode ports

Birdhouse stores workspace metadata in:

• ~/Library/Application Support/Birdhouse/data.db

Query active workspaces:

sqlite3 "$HOME/Library/Application Support/Birdhouse/data.db" \
  "select workspace_id,directory,opencode_port,opencode_pid from workspaces where opencode_port is not null order by opencode_port;"

This gives you:

• workspace id
• workspace directory
• running OpenCode port
• running OpenCode pid

Step 3: Check which processes are actually running

ps -ax -o pid=,command= | rg "$HOME/.birdhouse/dist/opencode/.*/opencode serve --port"

Match the pids and ports from SQLite against the running process list.

Step 4: Verify the health endpoint for one workspace

Health confirms the OpenCode process belongs to the expected Birdhouse workspace id.

Example:

curl -sf http://127.0.0.1:50112/global/health

Expected shape:

{
  "healthy": true,
  "version": "...",
  "birdhouseWorkspaceId": "ws_..."
}

Important:

• birdhouseWorkspaceId proves which Birdhouse workspace owns the process.
• It does not prove which directory will be used to resolve config for your next request.

Step 5: Query tools correctly for a specific workspace

Always pass the real workspace directory as a query parameter.

Example for workspace directory $HOME/Documents/Family on port 50112:

curl -sf "http://127.0.0.1:50112/experimental/tool/ids?directory=%2FUsers%2Fyour-user%2FDocuments%2FFamily"

Use URL-encoded directory paths.

One portable way to build the encoded directory argument is:

DIR="$HOME/Documents/Family"
ENCODED_DIR=$(python3 -c 'import os,sys,urllib.parse; print(urllib.parse.quote(os.path.abspath(sys.argv[1])))' "$DIR")
curl -sf "http://127.0.0.1:50112/experimental/tool/ids?directory=$ENCODED_DIR"

Do not do this unless you intentionally want the server default directory behavior:

curl -sf http://127.0.0.1:50112/experimental/tool/ids

That can report tools for the wrong config context.

Step 6: Query resolved config correctly for a specific workspace

curl -sf "http://127.0.0.1:50112/config?directory=%2FUsers%2Fyour-user%2FDocuments%2FFamily"

Check:

• plugin
• enabled_providers
• provider
• mcp

This is the authoritative per-directory resolved config for that workspace request.

Step 7: Compare a workspace inside and outside the Birdhouse repo tree

This is useful when debugging project config inheritance.

For a workspace under the Birdhouse repo tree:

curl -sf "http://127.0.0.1:50114/config?directory=%2FUsers%2Fyour-user%2Fdev%2Fbirdhouse-workspace%2Ftmp"

For a workspace outside that tree:

curl -sf "http://127.0.0.1:50112/config?directory=%2FUsers%2Fyour-user%2FDocuments%2FFamily"

This helps you detect whether .opencode/opencode.json is being discovered by directory crawling.

Step 8: Inspect model-specific tool definitions

Raw tool ids show what exists in the registry. Model-specific tool definitions show what the LLM can actually use.

Example:

curl -sf "http://127.0.0.1:50112/experimental/tool?provider=anthropic&model=claude-sonnet-4-6&directory=%2FUsers%2Fyour-user%2FDocuments%2FFamily"

Use a real provider/model pair from:

curl -sf "http://127.0.0.1:50112/config/providers?directory=%2FUsers%2Fyour-user%2FDocuments%2FFamily"

Common Pitfall

If:

• /global/health shows the expected workspace id
• but /experimental/tool/ids shows unexpected tools

then you probably forgot the directory query parameter.

Minimal Debug Workflow

1. Get workspace id, directory, port, pid from data.db.
2. Confirm the OpenCode process is alive on that port.
3. Confirm /global/health reports the expected birdhouseWorkspaceId.
4. Query /experimental/tool/ids?directory=... with the exact workspace directory.
5. Query /config?directory=... with the exact workspace directory.
6. If needed, query /experimental/tool?provider=...&model=...&directory=... to inspect model-filtered tools.

Example Commands

sqlite3 "$HOME/Library/Application Support/Birdhouse/data.db" \
  "select workspace_id,directory,opencode_port,opencode_pid from workspaces where workspace_id='ws_ea459370dc05d2c3';"

curl -sf http://127.0.0.1:50112/global/health

curl -sf "http://127.0.0.1:50112/experimental/tool/ids?directory=%2FUsers%2Fyour-user%2FDocuments%2FFamily"

curl -sf "http://127.0.0.1:50112/config?directory=%2FUsers%2Fyour-user%2FDocuments%2FFamily"

Source: Birdhouse-Labs/birdhouse — distributed by TomeVault.