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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENCODE_GO_API_KEYYesAPI key for OpenCode Go used by Pi workers. Can be exported in the environment Codex starts from or placed in ~/.codex/plugin-data/omp-conductor-codex/env (legacy ~/.pi-workers/env also read).
OMP_CONDUCTOR_DATA_DIRNoOverrides the data directory used by the server for worker settings, model definitions, and session directories.

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
pi_spawnA

Start a Pi worker in the background on a self-contained task and return its id at once. Workers always use the model the user set with pi_model (not selectable here). Give it a complete standalone brief (it has no access to this conversation). Use disjoint dirs or let worktree isolation separate parallel workers. Then use pi_wait / pi_digest to read compact results and judge them. Workers are long-lived RPC processes that keep their context: for a fix or a follow-up in the same area, pi_send an existing worker instead of spawning a new one.

pi_dictA

The project dictionary: short term -> definition entries (what a system is called, what it does, where it lives, conventions) that are injected into every worker for that project. Seed it from what you already understand BEFORE the first pi_spawn; after reviewing a worker, add facts you verified (never unverified worker claims). Not for task notes or history. action: show | set (upsert entries) | remove (terms).

pi_toolsA

The project toolbox: the checks (tests, compile, lint) workers are expected to run THEMSELVES with check <name> before reporting. Shown in every dev/general worker's prompt; required checks are enforced (the worker is reminded, and the digest warns if one was not run or failed). serial checks hold a project-wide lock, so a tool that cannot run twice at once (a Unity editor, a Gradle daemon) is safe with parallel workers: do not forbid workers from running it. A Unity project with no toolbox set gets built-in unity-editmode (required) and unity-playmode checks. action: show | set (upsert checks) | remove (names) | reset (drop all, back to the built-in default).

pi_statusB

One line per worker: state, elapsed, last action, files touched.

pi_digestA

Compact report of one worker: files changed, commands, errors, final message, git status. detail "full" adds recent raw events. Treat claims as unverified; check with pi_diff.

pi_waitA

Wait until the given workers (default: all running) finish or timeoutSec passes (max 60 per call; call again to keep waiting), then return their digests.

pi_sendA

Send a follow-up message to a finished worker. Its Pi process (or, after 30 idle minutes, its saved session) keeps everything it already read, so use this for fixes and for the next task in the same area instead of re-spawning (no re-reading, no re-learning the layout). Send only the new instruction; it already has the background. The worker must not be running.

pi_diffB

git diff (with stat) of a worker's directory so you can review the real changes.

pi_killC

Abort a running worker and stop its Pi process.

pi_mergeA

Commit a finished worker's worktree changes and merge its branch (--no-ff) into the repo it was spawned from. Refuses while the worker runs or the main tree has tracked changes; aborts and reports on conflict.

pi_cleanupA

Remove a finished worker's worktree and branch and forget the worker. Refuses if it has unmerged work unless force is true.

pi_modelC

Show or change the model every Pi worker uses

pi_effortB

Show or change the reasoning effort every Pi worker uses

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 13 tools

Disambiguation4/5

Most tools have a clearly distinct lifecycle role (spawn, kill, merge, cleanup, send). There is mild overlap in reporting: pi_wait, pi_digest, and pi_status all surface worker state/digests, though the blocking-vs-snapshot distinction is described well enough to disambiguate.

Naming Consistency5/5

Every tool uses a uniform pi_ prefix with a short, readable suffix. Action verbs (spawn, wait, send, kill, merge, cleanup) and config nouns (dict, tools, model, effort, status) are used consistently within their categories.

Tool Count5/5

13 tools is well-scoped for a worker-orchestration server, covering the full lifecycle without redundant entries. Each tool earns its place (lifecycle ops, config, and two project-context stores).

Completeness5/5

The surface covers the whole worker lifecycle: spawn, monitor (wait/digest/status), review (diff), follow-up (send), abort (kill), integrate (merge), and teardown (cleanup), plus model/effort config and shared project context. No obvious gaps or dead ends.

Maintenance

ActivityMaintained
ResponsivenessNo issues