DSH HUB
HomePlugin StorePlugin PacksCommunityRankingsResourcesPublish Guide
Plugin source
Back to catalog

shuind /

dsh-codex

Verified

This repository has no description yet.

★ 0 Stars0 Forks0 IssuesN/A Community rating0 Confirmed installs
View on GitHub
READMESource: main@368a4c40

@shuind/dsh-codex

English | 中文

The fixed Codex model-facing layer for a dsh Web session. It contributes Codex's prompt conventions and four core tool protocols while using dsh services for shell execution, terminals, filesystem policy, durable session state, and Skills. The preset is selected when the session is created; this package does not replace a live session's preset or tool catalog.

What it does

The codex preset mounts this package together with the dsh Skill filesystem and Skill tool. The package owns the Codex prompt section and these exact model-facing tool names and descriptions:

  • exec_command — runs a command in a PTY, returning output or a session id for ongoing interaction.
  • write_stdin — writes characters to an existing unified exec session and returns recent output.
  • apply_patch — accepts the complete freeform patch text through one required input string.
  • update_plan — accepts an optional explanation and a required plan of step / status items.

The exported tool registrations are authoritative for the complete schemas. The first two tools return the Codex-compatible execution fields (chunk_id, wall_time_seconds, exit_code, session_id, original_token_count, and output) and render the same Chunk ID / Wall time / Output response envelope. apply_patch returns the changed file list and renders the familiar Success. Updated the following files: summary. update_plan writes the durable todo/write event and returns Plan updated.

dsh composition

exec_command uses the dsh Shell service for pipe-backed commands and the dsh Terminal service for optional PTY sessions. The Codex shell, login, yield_time_ms, and max_output_tokens arguments remain model-visible and are translated at the service seams. write_stdin addresses the per-agent unified session registry.

apply_patch parses the Codex patch language, resolves targets through dsh fs, applies version-checked writes/removes, observes the resulting filesystem state, and routes sandbox decisions through sandboxPolicy. It never writes through a second filesystem implementation. Add, update, delete, and move operations use dsh's normal filesystem errors and durable observations.

update_plan appends the session's todo/write events and reuses dsh-tool-todo's registerTodosProjection helper, so the plan is replayable and available to the Web surface without adding a second plan store or a second projection definition. The Codex package does not mount todo_write.

Configuration

The package accepts defaultYieldTimeMs, pollYieldTimeMs, writeYieldTimeMs, and maxOutputBytes. They control execution timing and retained output; protocol names, argument names, descriptions, and result fields are fixed. A sandboxing filesystem requires the corresponding dsh sandboxPolicy service.

OpenAI Responses custom grammar is selected by the route capability supportsOpenAIGrammarTools. When that capability is present, apply_patch is serialized as an OpenAI custom grammar tool with the Codex patch grammar; a route that does not advertise it keeps the ordinary tool definition instead of assuming provider support.

Install as a profile bundle

The package declares a dsh.bundle patch that mounts the Codex core tools. Install it into a profile that already provides the dsh services listed in its peer dependencies:

dsh plugin add @shuind/dsh-codex

The bundle adds the Codex tool layer. A complete Codex preset can add the persona, Skills, and optional terminal rows in its own profile patch.

Model Experience

Prompt and tool catalog

What the model sees

The request contains the Codex base prompt, the four Codex core tools, and any explicitly mounted dsh extension such as skill. Tool names, descriptions, argument names, and result envelopes match the Codex harness protocol; dsh-specific implementation services stay behind the tools.

Token effect

The Codex prompt and core schemas add a fixed prefix cost to each request in this preset. Skill content and tool results remain data-dependent.

KV Cache effect

The fixed prompt and tool prefix remains reusable while the session's mounted composition is unchanged. Skill discovery or other explicitly mounted extensions change the suffix after the Codex prefix.

Tool calls and results

What the model sees

Command calls return the Codex execution envelope, patch calls return the changed-file envelope and summary text, and plan calls return a durable plan acknowledgement. Filesystem and session events reconstruct the model-visible effects during replay.

Token effect

Tool results are data-dependent: command output and changed-file summaries are retained in the session, while a plan acknowledgement is small and fixed.

KV Cache effect

Tool results append to the conversation. A filesystem change or plan update affects later context through the normal dsh session log and projection rather than through hidden mutable state.

Known Limitations and Deferred Work

  • The preset is fixed for a session. Choosing codex affects new sessions; changing the selected preset in Web does not rewrite an existing session's prompt or tools.
  • PTY behavior depends on the mounted dsh Terminal provider. The shipped Windows composition disables the optional bash terminal row; pipe execution remains available through the selected shell service.
  • Pipe-backed write_stdin sessions do not accept non-empty stdin; interactive input requires a PTY-backed command.
  • The OpenAI custom grammar path requires a provider route that advertises supportsOpenAIGrammarTools; the protocol remains usable without that provider feature.
  • The package implements the Codex core protocol and deliberately leaves Skills, filesystem policy, shell providers, terminal providers, and Web presentation extensible through dsh plugins.
—/ 5

No ratings yet

Verified DSH bundle

Commit 368a4c40a00c

Community comments

No comments yet. Be the first to write one.

DSH HUB

A community index for DSH plugins. Not an official GitHub or DeepSeek AI product.

CommunityResourcesAPIAbout