
A unified MCP gateway for running Claude Code, Codex, Gemini, Grok, and Mistral CLI tools from a single endpoint. Ships sync and async job tools with persistence, session continuity, and cache-aware prompting including Claude's cache_control blocks. Built for cross-LLM validation workflows where you want second opinions or consensus checks without reconfiguring clients. Includes git worktree isolation for multi-agent review loops, HTTP transport with bearer auth for remote clients, and a Go bootstrapper with setup, doctor, and upgrade commands. Targets single-user personal appliance deployments with Sigstore-signed releases and npm provenance. Reach for this when you're orchestrating multi-model code review or testing assistant outputs across providers from one MCP integration point.
"Without consultation, plans are frustrated, but with many counselors they succeed." — Proverbs 15:22 (LSB)
Secure local control plane for AI coding agents.
llm-cli-gateway lets supported MCP clients operate Claude Code, Codex, Gemini/Antigravity, Grok Build, Mistral Vibe, Cognition Devin, Cursor Agent, and configured HTTP API providers through one user-owned gateway while preserving native CLI sessions, local credentials, durable async jobs, validation receipts, and review workflows.
Why developers try it: use the client you are already in to delegate work to local coding agents, scope remote execution to registered workspaces, gate risky actions, survive disconnects, and collect auditable review evidence without turning those agents into a generic chat proxy.
Current signals: CI and security workflows pass on main, OpenSSF Scorecard is published, OpenSSF Best Practices is passing, releases use Sigstore signing, and the package is MIT licensed.
npm install -g llm-cli-gateway
Or use directly with npx from an MCP client:
{
"mcpServers": {
"llm-gateway": {
"command": "npx",
"args": ["-y", "llm-cli-gateway"]
}
}
}
llm-cli-gateway is a single-user MCP control plane for operating AI coding agents from supported local or remote clients. It is more than a thin CLI wrapper:
promptParts, including explicit Claude cache_control when opted in.sessionId for a gateway worktree; fresh, createNewSession, and resumeLatest-only worktree requests fail closed because they cannot durably reselect it. Materialization suppresses repository, system, and global Git hooks, configured clean, smudge, and process checkout filters, sparse checkout, and lazy object fetching. Filter-dependent content such as Git LFS remains in its repository representation instead of executing host commands.doctor --json, setup UI artifacts, provider setup snippets, Docker fallback, and checked release bundles.workspace; every HTTP/tunnel request must use a registered alias, session workspace, or [workspaces].default before provider execution. Local unrestricted filesystem access is the stdio transport.The repo ships agent-ready workflow skills under .agents/skills for async orchestration, session continuity, multi-LLM review, implement-review-fix loops, retrospective evidence walks, secure approval-gated dispatch, and Personal Agent Config Kit operations. Nine caller-facing skills are bundled in the published npm package: async-job-orchestration, multi-llm-review, session-workflow, secure-orchestration, implement-review-fix, retrospective-walk, public-demo-session, least-cost-routing, and personal-agent-config-kit. Machine-readable DAG-TOML plans live under docs/plans and setup/install-plan.dag.toml for workflows that need deterministic sequencing and verification gates.
Skill packs can be updated outside the core npm release by placing skill
directories in local, operator-controlled paths. The gateway loads bundled
skills first, then [skills].paths, then LLM_GATEWAY_SKILLS_PATH, then
~/.llm-cli-gateway/skills when it exists; later roots override earlier skills
by name. Each skill is a directory containing SKILL.md. A root may also carry
skill-pack.json to pin expected SKILL.md hashes:
[skills]
paths = ["/opt/llm-cli-gateway/skills"]
export LLM_GATEWAY_SKILLS_PATH="/opt/team-skill-pack:/opt/incident-skill-pack"
{
"name": "team-pack",
"version": "1.0.0",
"skills": [
{
"name": "incident-retrospective",
"sha256": "<sha256 of incident-retrospective/SKILL.md>"
}
]
}
The loader is intentionally local-only: it never fetches remote Markdown at
startup. To update a pack, install or replace files through your package manager
or deployment system, then restart the gateway so the advertised skills://...
resources refresh.
The next documentation focus is provider-specific skill and DAG-TOML pairs for each outbound CLI and API-provider family: Claude, Codex, Gemini/Antigravity, Grok, Mistral Vibe, Devin, Cursor Agent, OpenAI-compatible endpoints, Anthropic Messages, and xAI Responses. The implementation plan is tracked in docs/plans/provider-workflow-assets.dag.toml, with each provider asset expected to cover install/login checks or token-env checks, session behavior, approval modes, cache/telemetry surfaces, failure modes, and a smoke-test gate.
npm-shrinkwrap.json so registry installs resolve the audited release tree. Release gates regenerate it from package-lock.json, compare for parity, and run a registry-fidelity consumer install before publishing.socket.yml and under "Security Considerations" below. shellAccess and shrinkwrap are reviewed package capabilities/configuration for this CLI appliance, not hidden install behaviour.The personal-appliance contract keeps that surface intentionally narrow: one trusted user runs the gateway on a machine or volume they own, connects one MCP endpoint, and lets supported clients operate local coding agents through workspace-scoped, approval-gated, auditable requests.
The product contract is documented in docs/personal-mcp/PRODUCT_CONTRACT.md. It defines the single-user scope, security posture, target support matrix, and provider-support verification gates. Public setup guides must not claim ChatGPT, Claude web, Claude Desktop, Codex, Gemini CLI, Gemini web, or Grok inbound support until the corresponding provider/client path has been verified.
This project does not provide hosted multi-tenant credential custody. Provider credentials stay on the user's machine or user-owned deployment volume.
For a single developer who works on several workstations and repositories, the Personal Agent Config Kit guide explains the Git-synchronised personal baseline, repository overlays, immutable context stamps, and workstation-safe provider continuity model. The baseline directory is confined to a non-symlinked descendant of the local home directory, and every publish or sync revalidates its configured origin fetch and push URLs against the HTTPS/SSH-only policy. The Kit is intentionally local-caller-only; Kit provider execution and recovery of an unadmitted attempt require healthy durable SQLite or PostgreSQL async-job admission. Kit mode supports Claude, Codex, and Mistral; every other provider fails closed while it is enabled. Kit scope never inherits the gateway process cwd: Claude and Mistral require a registered workspace selection or configured default, while Codex can also use an explicit absolute workingDir. Relative Kit workingDir values are rejected before filesystem or Git inspection. It disables cross-model validation tools while enabled and is not an HTTP/OAuth configuration or remote execution feature.
For a retention-pinned non-Kit Claude MCP request configuration, follow the local-only same-host recovery procedure. It accepts no SQL or arbitrary-path override. A valid recovery invocation emits JSON and exits 0 after success or 2 for a safe refusal; invalid usage or unavailable durable storage exits 1.
Release-readiness history is tracked in docs/personal-mcp/RELEASE_READINESS.md. Dogfooding evidence (which target LLMs guided setup, what unsafe suggestions were captured, and which findings were deferred from the initial personal-appliance rollout) is in docs/personal-mcp/DOGFOODING_RESULTS.md.
Current personal-appliance artifacts include:
LLM_GATEWAY_AUTH_TOKEN=<token> npm run start:httpnpm run doctorinstaller/ with setup, doctor --json, start, stop, status, repair, upgrade, uninstall, print-client-config, and verified bundle download commands.ubuntu-latest and builds Windows/macOS binaries on their GitHub-hosted platform runners. The private upstream uses its internal self-hosted Linux runner. Each release publishes checksummed platform bundles with the gateway, production dependencies, and a managed Node runtime; see installer/packaging/README.md.review_changes, validate_with_models, second_opinion, compare_answers, red_team_review, consensus_check, ask_model, synthesize_validation, job_status, job_result, and validation_receipt (plus the validation-receipt://{validationId} resource). review_changes and durable receipts require a SQLite or PostgreSQL validation-run store and are absent in Personal Agent Config Kit mode.Windows PowerShell:
$Version = '<version>'
$Base = "https://github.com/verivus-oss/llm-cli-gateway/releases/download/v$Version"
$InstallDir = Join-Path (Join-Path $env:LOCALAPPDATA 'Programs') 'llm-cli-gateway'
$ExeName = "llm-cli-gateway-$Version-windows-amd64.exe"
$BundleName = "llm-cli-gateway-bundle-$Version-windows-amd64.tar.gz"
$Exe = Join-Path $InstallDir 'llm-cli-gateway.exe'
$Checksums = Join-Path $InstallDir 'SHA256SUMS'
$ChecksumBundle = Join-Path $InstallDir 'SHA256SUMS.sigstore.json'
New-Item -ItemType Directory -Force $InstallDir | Out-Null
Invoke-WebRequest -UseBasicParsing "$Base/$ExeName" -OutFile $Exe
Invoke-WebRequest -UseBasicParsing "$Base/SHA256SUMS" -OutFile $Checksums
Invoke-WebRequest -UseBasicParsing "$Base/SHA256SUMS.sigstore.json" -OutFile $ChecksumBundle
cosign verify-blob $Checksums --bundle $ChecksumBundle --certificate-identity "https://github.com/verivus-oss/llm-cli-gateway/.github/workflows/release-installer.yml@refs/tags/v$Version" --certificate-oidc-issuer "https://token.actions.githubusercontent.com"
if ($LASTEXITCODE -ne 0) { throw "Sigstore verification failed for SHA256SUMS" }
function Get-ReleaseSha256($Name) {
$line = Select-String -Path $Checksums -Pattern "^[a-fA-F0-9]{64}\s+$([regex]::Escape($Name))$" | Select-Object -First 1
if (-not $line) { throw "No SHA256SUMS entry found for $Name" }
return (($line.Line -split "\s+")[0]).ToLowerInvariant()
}
if ((Get-FileHash $Exe -Algorithm SHA256).Hash.ToLowerInvariant() -ne (Get-ReleaseSha256 $ExeName)) { throw "Checksum mismatch for $ExeName" }
$env:RVWR_GATEWAY_BUNDLE_URL = "$Base/$BundleName"
$env:RVWR_GATEWAY_BUNDLE_SHA256 = Get-ReleaseSha256 $BundleName
& $Exe setup
& $Exe stop
& $Exe install-bundle
& $Exe start
& $Exe status
& $Exe doctor
The Windows installer keeps a stable llm-cli-gateway.exe command in
%LOCALAPPDATA%\Programs\llm-cli-gateway and adds that directory to the user
PATH. Do not script against release-versioned exe names after install.
# After downloading the binary that matches your OS/arch from a release:
cosign verify-blob SHA256SUMS --bundle SHA256SUMS.sigstore.json \
--certificate-identity "https://github.com/verivus-oss/llm-cli-gateway/.github/workflows/release-installer.yml@refs/tags/v<version>" \
--certificate-oidc-issuer "https://token.actions.githubusercontent.com"
sha256sum --check SHA256SUMS # verify before run (or `shasum -a 256 --check` on macOS)
chmod +x llm-cli-gateway-<ver>-<os>-<arch>
./llm-cli-gateway-<ver>-<os>-<arch> setup
./llm-cli-gateway-<ver>-<os>-<arch> install-bundle # uses the platform bundle URL/SHA256
./llm-cli-gateway-<ver>-<os>-<arch> start
./llm-cli-gateway-<ver>-<os>-<arch> doctor
# Upgrade: replace the binary, set the new bundle env vars, run upgrade.
./llm-cli-gateway-<new>-<os>-<arch> upgrade
# Uninstall: dry-run first, then run with --yes.
./llm-cli-gateway-<ver>-<os>-<arch> uninstall
./llm-cli-gateway-<ver>-<os>-<arch> uninstall --yes
Docker fallback:
LLM_GATEWAY_AUTH_TOKEN=$(openssl rand -hex 32) \
docker compose -f docker/personal.compose.yml up -d
docker compose -f docker/personal.compose.yml run --rm doctor
sessionId; fresh, createNewSession, and resumeLatest-only worktree requests fail closed. A worktree requires a registered workspace selected explicitly, through caller-owned session metadata, or by the configured default; it never inherits process cwd or combines with workingDir, addDir, or includeDirs. Materialization suppresses repository, system, and global Git hooks, configured clean, smudge, and process checkout filters, sparse checkout, and lazy object fetching. Filter-dependent content such as Git LFS remains in its repository representation instead of executing host commands. Session deletion and TTL eviction hide a durably owned worktree session while cleanup runs. If Git removal fails, the file-backed store retains a durable cleanup-pending tombstone, blocks reuse, and retries cleanup when that store is registered on the owning host. The record is finalized only after verified Git removal.optimizePrompt / optimizeResponse, both defaulting to false. The 44% / 37% figures are v1.0.0 measurements on a specific corpus, not a guarantee: src/optimizer.ts is a deterministic phrase-stripper, and nothing measures a ratio at runtime.[persistence].backend: SQLite writes to ~/.llm-cli-gateway/logs.db by default, while PostgreSQL writes them to the configured database with the other durable subsystems. A PostgreSQL failure leaves the recorder unavailable or degraded and is reported generically on health surfaces; it never falls back to SQLite. Existing rows are not migrated or dual-read when the backend changes. Records include correlation IDs, duration, and token usage where the provider emits it (today: claude on stream-json/json, codex, and the API providers; grok, gemini, mistral, devin and cursor emit no usage on their CLI wire). Two exclusions are worth knowing: cross-LLM validation seats write no flight-recorder row at all, so llm_request_result cannot read one back by correlation ID, and repository-review seats are additionally excluded by design so review evidence is not retained in a non-expiring table. The retry_count and circuit_breaker_state columns are constants on the async path, which is the production path; retry and circuit breaking apply only to the direct-execute fallback. Read history through llm_request_list and llm_request_result so per-principal ownership checks remain in force. For human browsing of a SQLite deployment: datasette ~/.llm-cli-gateway/logs.dbstructuredContent (model, cli, correlationId, sessionId, durationMs, token counts)cache-state://global, cache-state://session/{id}, and cache-state://prefix/{hash} MCP resources return aggregate cache hit/miss/savings — tokens and hashes only, no prompt text. session_get includes a cacheState block when the session has prior requests.provider_tool_capabilities and provider-tools://catalog expose the gateway request fields, supported/degraded provider controls, local skill/tool discovery, and safe config-surface hints for Claude Code, Codex CLI, Gemini/Antigravity, Grok CLI/API, Mistral Vibe, Cognition Devin, and Cursor Agent. doctor --json includes a compact provider_capabilities summary for setup assistants.Every *_request and *_request_async tool except devin_request / devin_request_async and cursor_request / cursor_request_async accepts an optional promptParts field that structures the prompt for better cache hit rates (the Devin and Cursor headless paths take a plain prompt only). The gateway concatenates the parts in canonical order (system → tools → context → task) so that the stable prefix bytes precede the volatile task tail unchanged across calls, letting each provider's automatic prompt-caching land on the same content hash each time.
{
"promptParts": {
"system": "You are a helpful code reviewer.",
"tools": "You have access to Read, Grep, Bash.",
"context": "<long stable context block — file dumps, etc.>",
"task": "Review the changes in src/foo.ts for security issues."
}
}
prompt and promptParts are mutually exclusive — pass exactly one.
Per-CLI capability matrix (prefix discipline is automatic via promptParts for all providers except Devin and Cursor, which have no promptParts surface; explicit levers are provider-specific):
| CLI | Prefix discipline | Explicit lever(s) |
|---|---|---|
| claude | yes | promptParts.cacheControl + outputFormat: "stream-json" (Anthropic cache_control breakpoints on stable blocks; ttl="1h" forced) |
| codex | yes | none (OpenAI implicit) |
| gemini | yes | none (implicit server-side) |
| grok | yes | compactionMode / compactionDetail (context compaction: `summary |
| mistral | yes | none (implicit) |
| devin | no | plain prompt only |
| cursor | no | plain prompt only |
Claude example (explicit cacheControl)
claude_request({
promptParts: {
system: "You are a helpful code reviewer.",
context: "<long stable file dump>",
task: "Review the diff.",
cacheControl: { system: true, context: true }, // task is never marked
},
outputFormat: "stream-json",
});
Gateway emits the stream-json stdin path with cache_control: {type:"ephemeral", ttl:"1h"} on marked blocks only.
Grok example (compaction)
grok_request({
promptParts: { system: "...", context: "...", task: "..." },
compactionMode: "segments",
compactionDetail: "balanced",
});
Emits --compaction-mode segments --compaction-detail balanced.
See docs/personal-mcp/PROVIDER_CACHE_SURFACES.md for full surfaces, telemetry differences (e.g. Grok -p vs ACP), exact stream-json payload shapes, and cross-LLM review notes.
Opt-in flags (all default off) live under [cache_awareness] in ~/.llm-cli-gateway/config.toml.
*_request_async + polling tools.github/workflows/security.yml runs actionlint, zizmor, shellcheck, typos, osv-scanner, gitleaks, and lychee on every push and PR (see SECURITY.md for the threat model)Every provider is reachable through the same request, session, job, and validation machinery, but the underlying CLIs differ in what they natively expose. The table records what actually shipped per provider; discover the live surface at runtime with provider_tool_capabilities, list_models, and the provider-acp://<provider> / provider-tools://<provider> resources.
| Provider | CLI request tools | Native ACP | Live model discovery | Admin surface |
|---|---|---|---|---|
Claude Code (claude) | claude_request / _async | None (CLI-first; no ACP entrypoint at its tracked version) | model aliases, reasoning-effort levels, fallback model | read-only via provider_admin_list / provider_admin_run |
OpenAI Codex (codex) | codex_request / _async, codex_fork_session | None (codex-cli advertises mcp-server / app-server transports, not native ACP) | codex debug models | read-only via provider_admin_list / provider_admin_run |
Gemini / Antigravity (gemini, agy) | gemini_request / _async | None (agy exposes no ACP entrypoint; legacy Gemini CLI ACP evidence does not transfer) | agy models | read-only via provider_admin_list / provider_admin_run |
xAI Grok (grok) | grok_request (sync transport: "acp") / _async | Native via grok agent stdio | grok models + ~/.grok/config.toml | read-only via provider_admin_list / provider_admin_run |
Mistral Vibe (mistral) | mistral_request (sync transport: "acp") / _async | Native via vibe-acp | Vibe config plus the VIBE_ACTIVE_MODEL active model and agent profiles | read-only via provider_admin_list / provider_admin_run |
Cognition Devin (devin) | devin_request (sync transport: "acp", agentType: summarizer|review) / _async | Native via devin acp | --model / DEVIN_MODEL | read-only via provider_admin_list / provider_admin_run |
Cursor Agent (cursor) | cursor_request (sync transport: "acp") / _async | Native via cursor-agent acp (companion-owned) | model aliases | read-only via provider_admin_list / provider_admin_run |
grok, mistral, devin, and cursor expose a native ACP entrypoint, so provider-acp://<provider> carries the negotiated initialize capability set and the derived session-method availability, and the sync *_request accepts transport: "acp" (fails closed unless [acp] and the provider's runtime_enabled gate are set). ACP routing is sync-only: the *_request_async variants always run the CLI transport and do not accept transport: "acp" (nor Devin's agentType); async ACP parity is a later phase. ACP workspace selection is gateway-owned: an explicit ACP workspace must be a registered alias. A fresh remote ACP request uses that alias or [workspaces].default; a remote resume is fixed to its recorded canonical alias and cwd, and a different or unbound workspace is rejected. Local ACP may omit workspace; each unscoped process then gets a fresh private 0o700 neutral directory that is removed after the process exits, never a shared predictable temp path. claude, codex, and gemini have no native ACP entrypoint at their target CLI versions; their provider-acp:// records report native: false with no methods and no adapter-as-native masquerade, and they expose no transport: "acp" selector.approvalStrategy:"mcp_managed" is executable only by the Claude CLI adapter, which launches Claude with a request-scoped generated MCP configuration and --strict-mcp-config. It permits only provisioned, gateway-owned MCP definitions and rejects dynamic npx, ambient-PATH, and Codex-config overrides. Codex, Gemini, Grok, Mistral, Devin, and Cursor reject mcp_managed before launching a provider because their current adapters cannot isolate ambient MCP configuration. For those adapters, use approvalStrategy:"legacy"; approvalPolicy has no effect.approvalStrategy:"mcp_managed" and any approvalPolicy are rejected when transport:"acp" is selected. Use the Claude CLI transport for managed approval. ACP host services fail closed, gated by the tool-call category the agent declares: write is denied unless allow_write_host_services is set, execute unless allow_terminal_host_services is set, and any other category is denied outright, including fetch and every unrecognised kind, so a new upstream tool kind cannot be auto-approved by default. Approval is expressed only by selecting an agent-offered single-use allow option; an agent that offers only a persistent allow_always grant is denied, so ACP never maps a raw CLI bypass input to a standing permission grant. Note the boundary is this category gate: it constrains what the agent may ask the gateway to do, not what the agent does in its own process.models://<provider>, sessions://<provider>, provider-acp://<provider>, provider-tools://<provider>, and provider-subcommands://<provider>.models://<provider> and list_models, degrading to static registry facts when a live probe is unavailable (a resource read never spawns a CLI).provider_admin_list and provider_admin_run are read-only for every provider. State-mutating admin operations are exposed only through provider_admin_mutate, gated behind [admin] allow_mutating_cli_admin_ops, the remote cli:admin scope, an approval gate, and an audit record. Mutating ACP session operations are likewise gated behind [acp] allow_mutating_session_ops.review_changes, validate_with_models, second_opinion, compare_answers, red_team_review, consensus_check, ask_model, and synthesize_validation, with canonically hashed immutable receipts via validation_receipt and the validation-receipt://{validationId} resource. review_changes captures a complete, hashed Git artifact and starts repository-bound read-only reviewers.Node.js >= 24.4.0 is required (engines.node in package.json). The SQLite backend uses Node's built-in node:sqlite module, so there is no native binding to compile and no install scripts run. The 24.4 floor is where allowBareNamedParameters defaults to true, which the SQLite persistence layer relies on.
Running the source-tree release audit also requires Bash and flock from
util-linux. This prerequisite was verified against commit
242e7669565ecc7c71183f5f7133791a1384ca7c. Release automation runs the audit
on Ubuntu. On macOS, install a compatible flock before running
npm run security:audit or the full npm run check gate.
Before using this gateway, you need to install the CLI tools you want to use:
# Installation instructions for Claude Code
# Visit: https://docs.anthropic.com/claude-code
npm install -g @anthropic-ai/claude-code
npm install -g @openai/codex
codex login
The Gemini provider runs through Google Antigravity CLI (agy).
curl -fsSL https://antigravity.google/cli/install.sh | bash
# Docs: https://antigravity.google/docs
curl -fsSL https://x.ai/cli/install.sh | bash
grok login # OAuth flow; for headless auth, set XAI_API_KEY
# Docs: https://docs.x.ai/build/overview
# Pick one — the gateway's cli_upgrade auto-detects which one you used.
curl -LsSf https://mistral.ai/vibe/install.sh | bash
pip install mistral-vibe
uv tool install mistral-vibe
brew install mistral-vibe
vibe --setup
# Complete the API-key setup locally. Do not paste the key into a chat.
# Current Vibe defaults session logging to enabled. If an older config disabled it,
# edit ~/.vibe/config.toml and set:
# [session_logging]
# enabled = true
Vibe-specific notes:
VIBE_ACTIVE_MODEL environment variable —
Vibe has no --model flag. The gateway discovers ~/.vibe/config.toml /
VIBE_MODELS, injects VIBE_ACTIVE_MODEL only when a model is explicitly
requested or Vibe config needs recovery, and retries once after a
model-not-found failure with refreshed discovery.permissionMode is the Vibe --agent name. Builtins are
default | plan | accept-edits | auto-approve; Vibe also accepts install-gated
builtins (e.g. lean) and custom agents from ~/.vibe/agents. Requests pass
the selected name through for Vibe to validate. mcp_managed is not available
for Vibe.--enabled-tools <tool> flag per allowedTools entry and one
--disabled-tools <tool> flag per disallowedTools entry. Vibe applies
disabled tools after enabled-tool filtering.~/.vibe/logs/session/session_<...>/meta.json for usage and cost.
A missing, malformed, or not-yet-known session log leaves those fields empty.cli_upgrade --cli mistral detects whether you used
pip / uv / brew and dispatches the matching upgrade command. Running
vibe update is not a thing.npm install -g llm-cli-gateway
Or use directly with npx:
{
"mcpServers": {
"llm-gateway": {
"command": "npx",
"args": ["-y", "llm-cli-gateway"]
}
}
}
git clone https://github.com/verivus-oss/llm-cli-gateway.git
cd llm-cli-gateway
npm install
npm run build
For clients that already support local stdio MCP servers, add a configuration like:
{
"mcpServers": {
"llm-cli-gateway": {
"command": "node",
"args": ["/path/to/llm-cli-gateway/dist/index.js"]
}
}
}
Stdio is the recommended path for unrestricted machine-local development access. HTTP MCP, including localhost HTTP and tunneled HTTPS, is treated as remote-capable for provider execution: provider tools must resolve a registered workspace alias, a session workspace, or [workspaces].default before spawning a CLI. Remote clients should pass relative workingDir, addDir, and include-directory values inside the selected workspace, and may resume only gateway-tracked sessions they own. Raw native provider session IDs are local-only. Disabling auth or using a no-auth connector path is not a filesystem bypass.
For a local CLI request with no resolved workingDir, registered workspace,
or gateway-managed worktree, the child runs in a fresh private 0o700
temporary directory that is removed after the process exits. It never inherits
the gateway repository cwd or its provider-native instruction context. The
gateway canonicalizes the temp root and rejects or relocates it when any
ancestor contains .git, AGENTS.md, AGENTS.override.md, Agents.md,
AGENT.md, CLAUDE.md, Claude.md, CLAUDE.local.md,
.claude/CLAUDE.md, .claude/rules/, .cursor/rules/, .cursorrules,
GEMINI.md, or .vibe/config.toml, including through a symlinked or custom
TMPDIR beneath that context. The list covers entries a provider discovers by
walking up from its cwd. User-scope configuration such as
~/.claude/settings.json is deliberately absent: it loads on every invocation
regardless of cwd, so relocating the workspace would not isolate it.
Provider-native resumeLatest operations that use a cwd-scoped latest-session
pointer therefore require an explicit workingDir, workspace, or configured
default workspace and fail closed when none is available. Use explicit target
selection whenever several repositories are active at once.
CLI request schemas accept prompts up to 100,000 characters, but operating
systems also impose byte limits on individual argv elements. Codex new and
resume requests stream the exact prompt over stdin. codex_fork_session
remains argv-bound and rejects an oversized UTF-8 prompt before spawn as
non-retryable input_too_large. Other providers whose current CLI contracts
require an argv prompt use the same admission rule. Every other
caller-controlled argv value is checked on its final encoded form too,
including serialized agent/schema JSON, joined tool lists, instruction
overrides, paths, model names, and native session IDs. The final spawn boundary
checks every argv element plus the aggregate resolved command line against a
conservative platform-specific byte budget and a 2,048-element cap. The
aggregate byte budget excludes the environment but reserves headroom for it;
on Windows, pre-resolution admission assumes the smaller npm .cmd/.bat
wrapper limit until command resolution proves a native executable. Native
session and resume flags on non-Kit requests are included before workspace,
session, provider-artifact handoff, or durable job side effects. Claude Kit
projects its eventual argv before materializing its compiled context artifact
or allocating a durable Kit session.
An embedded NUL byte in the command or any argv element is rejected before
spawn as non-retryable invalid_input. Caller-facing results, long-lived job
memory, durable job args, and async flight rows use a fixed invalid-argv marker;
the optional duplicate durable payload is suppressed. None retains the rejected
vector or Node's value-echoing native error.
Native E2BIG, including an environment-driven failure, is normalized without
retaining the native spawnargs. The gateway never truncates instructions or
other values to make them fit. For stdin-backed requests, a clean provider exit
is accepted only after the complete payload write callback succeeds. A closed
or still-pending pipe becomes a fixed, non-sensitive incomplete-delivery
failure; timeout, cancellation, and provider nonzero exits remain authoritative.
This generic stdio example is not provider-support verification for the Personal MCP Appliance. Client-specific setup guides for ChatGPT, Claude web, Claude Desktop, Codex, Gemini CLI, Gemini web, and Grok remain gated by the provider-support matrix in docs/personal-mcp/PRODUCT_CONTRACT.md.
The personal-appliance surface exposes simplified validation tools for non-developer clients. These tools start provider CLI jobs through the durable async job manager and return normalized provider status plus raw job references.
validate_with_models: ask two or more providers to independently validate a question.review_changes: capture one complete Git review artifact, fence repository
content as untrusted data, and start read-only independent reviewers. See
Repository change review.second_opinion: ask one provider to review an answer.red_team_review: challenge a plan, answer, or document for risks and failure modes.consensus_check: check whether providers agree with a claim.ask_model: ask one provider through the simplified surface.synthesize_validation: run an explicit judge model after provider results have
been collected. General validation requires the caller's question and terminal
normalized results. A review_changes run instead reloads its exact owned
durable results from validationId; caller-supplied question/results are ignored.list_available_models: list the models each provider CLI exposes through the simplified surface.job_status and job_result: poll and collect validation job outputs.validation_receipt: retrieve the canonically hashed immutable receipt of a terminal cross-LLM validation run by validationId (returns minted | pending | verification_failed | expired_unminted | not_found, own-or-not-found). verification_failed means a stored receipt exists but disagrees with its durable run, which is a defect to investigate; expired_unminted only ever means absence. format: "markdown" renders a human-readable report; includeRawResponses inlines complete provider answer text when the linked job still exposes identity-verified output. Registered only when the attached job store provides the durable validation-run store capability (sqlite and postgres).The same receipt is also exposed as the validation-receipt://{validationId} MCP resource (same durable gate and own-or-not-found owner scoping).
The validation report preserves per-provider disagreement. Optional judge synthesis is explicit about which provider produced the judge job.
review_changes accepts an absolute local workingDir or a registered
workspace, then resolves scope: "auto" | "uncommitted" | "branch" | "commit". It can take an explicit Git base, literal repository-relative
paths, stance: "standard" | "adversarial", reviewer models, an optional
judgeModel, trustCursorWorkspace, and fail-closed artifact/prompt byte
ceilings.
Cursor refuses to review a directory it does not trust, so a cursor seat is
granted --trust only when the reviewed directory is a registered
[[workspaces.repos]] path whose providers include cursor (a gateway worktree
beneath one counts, and the nearest enclosing registration decides). On any
other directory the cursor seat is skipped with an actionable reason, and the
rest of the roster still runs. trustCursorWorkspace: true accepts the grant
for one durable review run. The consent applies to Cursor seats in that run's
reviewer roster and to its planned Cursor judge when synthesize_validation
launches it later. It is bound to the run owner, repository, and planned judge,
so another principal or review run cannot replay it. That is a real decision
rather than a formality: a trusted folder is also where cursor loads project
rules and AGENTS.md, so the repository under review gains some influence over
its own reviewer, which the fenced review prompt otherwise forbids. The artifact keeps
committed, staged, unstaged, and regular non-ignored untracked file evidence separate. It
forces tracked diffs to remain readable even when in-tree attributes mark them
as non-diffable. The review-evidence.v2 artifact exposes committedPatch,
stagedPatch, and unstagedPatch independently; each segment carries its
sorted path inventory, encoding, exact byte length, SHA-256 identity, and
content. This prevents an index change and its worktree-only reversal from
canceling out. The artifact is collision-fenced, byte-counted, SHA-256
identified, race-checked, and never truncated. In auto mode, a diverged branch is
reviewed from its merge base with working-tree evidence included. Otherwise,
a dirty tree selects uncommitted changes, while a clean tree falls back to the
last commit (HEAD^..HEAD) without working-tree evidence. Unsafe untracked
file types or a repository mutation during capture cause a refusal.
The tool starts asynchronous provider jobs and returns a validationId, exact
artifact and prompt identities, file inventory, and one rawJobReference per
reviewer. Poll those references with validation job_status and collect them
with validation job_result, not the similarly named llm_job_* tools. If a
judge was requested, wait for every reviewer to become terminal, then call
synthesize_validation with the validationId and the same workingDir or
workspace selector. Continue collecting results for progress and human
visibility, but do not pass them as review evidence: for a review_changes run,
the gateway ignores caller-supplied question and providerResults, reloads
the exact owned durable linked terminal jobs, and reconstructs requested but
unavailable seats as skipped. General validation synthesis still requires a
caller-supplied question and terminal normalized results.
The review surface is registered only with durable SQLite or PostgreSQL job and
validation-run storage. Each CLI review job retains the exact fenced prompt in
its expiry-bound payload_json; its persisted argv contains only a hash marker.
The non-expiring flight recorder does not receive repository-review prompts.
Configured HTTP/API reviewer seats require explicit allowApiUpload:true
because the complete artifact leaves the local CLI boundary. Remote HTTP/OAuth
workspace reviews reject API reviewer uploads even with that flag. Treat the
durable job store as sensitive until the configured job retention expires.
When judgeModel is an HTTP/API provider, review_changes binds that explicit
consent, the judge provider, the resolved repository, and the caller identity to
the durable validationId. The later synthesize_validation call must provide
that id and the same repository selector. The stored judge, repository, owner,
and upload consent are authoritative. The gateway atomically claims the planned
judge once, so concurrent or repeated synthesis cannot start a second judge.
A follow-up argument cannot grant or override upload consent.
claude_requestExecute a Claude Code request with optional session management.
Parameters:
prompt (string, optional*): The prompt to send (1-100,000 chars). *Exactly one of prompt or promptParts is required (mutually exclusive)model (string, optional): Model name or alias (use list_models for available values; supports latest)outputFormat (string, optional): Output format (text|json|stream-json), default: stream-json — the gateway parses NDJSON usage events for token/cost observability; override to text only when you want unparsed stdoutsessionId (string, optional): Specific session ID to use. Under mcp_managed, native continuation is a high-risk input because it can inherit an unverified provider posture; it requires approval and LLM_GATEWAY_APPROVAL_ALLOW_BYPASS=1, but does not select a full-permission profile.continueSession (boolean, optional): Continue the active session. It has the same managed-approval requirement as sessionId. Because Claude --continue selects by cwd, it requires workingDir or a registered workspace selected explicitly, through caller-owned session metadata, or by the configured default. That workspace may optionally supply a gateway worktree. The request fails closed when no selection supplies a stable cwd.createNewSession (boolean, optional): Always create a new sessionforkSession (boolean, optional): Fork the resumed session instead of appending to it. Under mcp_managed, it is a high-risk native-fork input that requires approval and LLM_GATEWAY_APPROVAL_ALLOW_BYPASS=1, but stays bounded.allowedTools (string[], optional): Restrict Claude tools to this allow-list. A non-empty allow-list is a high-risk managed input because it can change the tool posture.disallowedTools (string[], optional): Explicitly deny listed Claude toolspermissionMode (string, optional): Claude permission mode (default|acceptEdits|plan|auto|dontAsk|bypassPermissions); preferred over dangerouslySkipPermissions. bypassPermissions is a direct full-permission request under mcp_managed.dangerouslySkipPermissions (boolean, optional): Deprecated, maps to permissionMode: "bypassPermissions"; permissionMode wins when both are set. It is a direct full-permission request under mcp_managed.agent (string, optional): Named sub-agent to run as. A non-empty value is a high-risk managed input because it can change tool and permission posture.agents (string, optional): Inline agent definitions JSON. A non-empty value is a high-risk managed input for the same reason.systemPrompt / appendSystemPrompt (string, optional): Replace or extend the system prompt. A non-empty value is a high-risk managed input.systemPromptFile / appendSystemPromptFile (string, optional): Replace or extend the system prompt from a file. A non-empty file path is a high-risk managed input.safeMode (boolean, optional): Start Claude with local customizations disabled, including CLAUDE.md, skills, plugins, hooks, MCP, commands, and agents. true is a high-risk managed input.bare (boolean, optional): Start Claude in minimal mode, skipping local customization discovery. true is a high-risk managed input.debugFile (string, optional): Write Claude debug output to a file. A non-empty path is a high-risk managed input.maxBudgetUsd (number, optional): Budget cap in USD for the requestmaxTurns (integer, optional): Agent-loop turn capeffort (string, optional): Reasoning effort (low|medium|high|xhigh|max)fallbackModel (string, optional): Auto-fallback model when the default is overloadedjsonSchema (string, optional): JSON Schema literal constraining structured outputaddDir (string[], optional): Additional workspace directories. A non-empty value is a high-risk managed input.noSessionPersistence (boolean, optional): Ephemeral session (not persisted to disk)settingSources / settings / tools (optional): Setting sources to load, settings JSON path/literal, built-in tool restriction. Non-empty setting sources, settings, or tool selections are high-risk managed inputs.pluginDir / pluginUrl (string[], optional): Load Claude plugins from local directories or URLs. Non-empty values are high-risk managed inputs.excludeDynamicSystemPromptSections (boolean, optional): Trim dynamic system prompt sectionsapprovalStrategy (string, optional): "legacy" (default) or "mcp_managed". Managed mode uses acceptEdits by default and forces strictMcpConfig:true, so Claude uses only the gateway-generated MCP configuration. A direct full-permission request requires all of an explicit caller request, an approval-manager approval, and LLM_GATEWAY_APPROVAL_ALLOW_BYPASS=1. Other high-risk inputs require the approval and operator setting too, but remain bounded and do not themselves select full permission.approvalPolicy (string, optional): "strict", "balanced", or "permissive"mcpServers (string[], optional): Names of MCP servers to expose to Claude (default: none). Legacy requests resolve names from the local registry or Codex MCP config; unknown names are reported as unavailable. Under mcp_managed, Claude uses only the generated configuration and only registry entries explicitly provisioned as gateway-owned local commands are eligible. Dynamic npx launchers, ambient-PATH commands, and Codex-config overrides are rejected. Configure and deploy the managed entries in the gateway environment.strictMcpConfig (boolean, optional): In legacy mode this defaults to false; set true to require only the generated MCP config and fail if requested servers are unavailable. Under mcp_managed, the gateway forces it to true and a caller-supplied false cannot weaken that boundary.optimizePrompt (boolean, optional): Optimize prompt for token efficiency (44% reduction), default: falseoptimizeResponse (boolean, optional): Optimize response for token efficiency (37% reduction), default: falsecorrelationId (string, optional): Request trace ID (auto-generated if omitted)idleTimeoutMs (integer, optional): Kill a stuck process after output inactivity; 30,000 to 3,600,000 ms. Idle enforcement applies only when outputFormat is stream-json; it is ignored for text/json, which produce no output until the run completesworktree (boolean|object, optional): Run inside a gateway-owned git worktree (slice λ). A worktree requires a registered workspace selected explicitly, through caller-owned session metadata, or by the configured default; it never inherits process cwd or combines with workingDir, addDir, or includeDirs. Materialization suppresses repository, system, and global Git hooks and configured clean, smudge, and process checkout filters, so filter-dependent content such as Git LFS remains in its repository representation instead of executing host commands. Requesting a worktree is a high-risk managed input that requires approval and LLM_GATEWAY_APPROVAL_ALLOW_BYPASS=1, but remains bounded.promptParts (object, optional): Cache-aware structured prompt { system?, tools?, context?, task }; mutually exclusive with promptforceRefresh (boolean, optional): Bypass dedup and force a fresh CLI run, default: falseWorkspace boundary: stdio callers may use machine-local paths directly. HTTP/tunnel callers must pass workspace or rely on a configured default/session workspace; path fields are then validated relative to that workspace. [workspaces].allow_unregistered_working_dir is an inert legacy key: it is still accepted so old configs keep loading, but nothing reads it at either value, and setting it now logs a warning at startup. It never allowed arbitrary HTTP working directories or additional directories.
Response extras:
approval: Approval decision record when approvalStrategy="mcp_managed"mcpServers: Requested/enabled/missing MCP servers for this callExample:
{
"prompt": "Write a Python function to calculate fibonacci numbers",
"model": "sonnet",
"continueSession": true,
"optimizePrompt": true,
"optimizeResponse": true
}
codex_requestExecute a Codex request with optional session tracking.
Parameters: