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llama.cpp Providerv2026.10.6

OpenClaw provider for managed and external llama.cpp servers

@openclaw/llama-cpp-provider·runtime llama-cpp·by @openclaw
openclaw plugins install clawhub:@openclaw/llama-cpp-provider
Latest release: v2026.10.6Download zip

Compatibility

Built With Open Claw Version
2026.10.6
Min Gateway Version
>=2026.6.2
Plugin Api Range
>=2026.10.6
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
ℹ
Credentials
Hardware probes, substantial model downloads, inference traffic, and optional server API keys are expected for this provider. Credential handling uses provider-scoped host APIs and clears old credentials when setup changes endpoints.
✓
Install Mechanism
No package lifecycle scripts are declared. Managed setup verifies pinned server downloads with SHA-256, bounds archive extraction, and installs within OpenClaw state directories.
✓
Instruction Scope
Setup choices and configuration changes are provider-specific. SkillSpector was not applicable because no skills are bundled; the executable plugin code was reviewed directly.
ℹ
Persistence & Privilege
Managed configuration and cached models persist. The server defaults to loopback under the host supervisor with a ten-minute idle timeout; external server processes are not managed.
✓
Purpose & Capability
Runtime code implements managed local inference and connections to user-configured servers; no unrelated data collection or destructive behavior was found.
Assessment
Managed setup downloads executable server software and models that can require several gigabytes of storage and substantial memory. For an external server, trust its operator with your prompts and use HTTPS when traffic leaves your machine. Review the [provider guide](https://docs.openclaw.ai/plugins/llama-cpp) before configuring either mode.
✗
dist/index.js:367
Shell command execution detected (child_process).
✗
dist/index.js:1894
File appears to expose a hardcoded API secret or token.
Patterns worth reviewing
These patterns may indicate risky behavior. Check the VirusTotal and OpenClaw results above for context-aware analysis before installing.

Verification

Tier
source linked
Scope
artifact only
Summary
Validated package structure and linked the release to source metadata.
Source
github.com/openclaw/openclaw
Commit
fe06181dc5ec
Tag
fe06181dc5ecc01cf8904abbfc26925925efefbc
Provenance
No
Scan status
clean

Tags

beta
2026.10.10-beta.3
latest
2026.10.6

@openclaw/llama-cpp-provider

Official llama.cpp provider for managed and external OpenClaw model servers.

The llama-cpp provider either installs a pinned, integrity-verified llama-server under OpenClaw's localService supervisor or connects to a server that you already operate. Both choices use llama-cpp/<model> references and OpenClaw's normal OpenAI-compatible chat transport. Local embeddings require the managed choice.

Install

openclaw plugins install @openclaw/llama-cpp-provider

Restart the Gateway after installing or updating the plugin. Interactive setup shows Managed local server and Existing llama-server under one Local llama.cpp group.

Configure managed text inference

After explicit consent, OpenClaw installs the matching server build and a recommended chat model that fits the Gateway's memory, GPU, and free disk space. The download also includes the configured local embedding model, or EmbeddingGemma by default (approximately 0.3 GB). See the provider guide for current recommendations.

When local memory search is configured and chat setup is unavailable or declined, OpenClaw offers a separate embedding-only setup. After explicit consent, it installs only the server and EmbeddingGemma. It leaves the current chat model unchanged. Move any llama.cpp chat routes and remove its configured chat model entries first. Remove an existing external server config before retrying embedding-only setup.

Custom GGUF models remain supported through params.modelPath. Rerun llama.cpp setup after changing the model so OpenClaw can verify the file and regenerate the managed router preset.

See the llama.cpp provider guide for platform requirements, custom GGUF configuration, diagnostics, and repair.

Connect to an existing server

Choose Existing llama-server during setup and enter the endpoint and optional API key. OpenClaw passively discovers single-model and router catalogs. It never installs, starts, stops, or reconfigures the external process.

See the llama.cpp provider guide for authentication, router behavior, manual configuration, and troubleshooting.

Configure embeddings

Set memory.search.provider to local. The plugin preserves the historical local embedding provider and index identity while serving requests through the managed server's /v1/embeddings endpoint.

Package

  • Plugin id: llama-cpp
  • Provider id: llama-cpp
  • Package: @openclaw/llama-cpp-provider
  • Minimum OpenClaw host: 2026.6.2