* refactor(plugin-sdk): retire embedded Pi aliases * refactor(channels): retire explicit target compatibility * refactor(plugins): retire subagent spawning hook * refactor(plugin-sdk): retire shipped channel setup exports * refactor(whatsapp): retire inbound callback aliases Proof: focused build and WhatsApp E2E green; broad WhatsApp suite 188/189 files green. extensions/whatsapp/src/monitor-inbox.policy.test.ts flakes only in the parallel batch and passes isolated (10/10). * refactor(plugin-sdk): retire memory embedding registrar Migrate every bundled provider and manifest to registerEmbeddingProvider and contracts.embeddingProviders. Preserve memory-specific batching, local-service acquisition, index identity, and auto-selection through the canonical generic registry adapter, then remove the parallel registrar, registry, diagnostics, contracts, tests, and docs. * chore(plugin-sdk): tighten retired surface budgets Pin the post-retirement public SDK surface to 144 entrypoints, 4,312 exports, 2,564 callable exports, and 1,133 deprecated exports; agent-harness-runtime now permits exactly nine deprecated exports.
@openclaw/llama-cpp-provider
Official managed llama.cpp provider for OpenClaw GGUF chat and embeddings.
The plugin installs a pinned, integrity-verified llama-server and configures
OpenClaw's existing localService supervisor. Model traffic uses the normal
OpenAI-compatible chat and embedding transports.
Install
openclaw plugins install @openclaw/llama-cpp-provider
Restart the Gateway after installing or updating the plugin, then choose llama.cpp once during interactive onboarding or configuration.
Configure text inference
After explicit consent, OpenClaw installs the matching server build and downloads Gemma 4 E4B IT Q4_K_M (approximately 5.0 GB) plus EmbeddingGemma (approximately 0.3 GB). The default chat download is offered only on machines with at least 16 GiB of RAM.
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.
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 - Package:
@openclaw/llama-cpp-provider - Minimum OpenClaw host:
2026.6.2