docker-compose.yml gains healthchecks and depends_on/condition chains for the
litellm/langfuse/postgres tier so dependants wait for a genuinely ready
service instead of a started container. Also plumbs AGAP_MCP_TOKEN into the
adolf and adolf-llm containers, sourced from openai/.env (gitignored), for the
kb#180 bearer auth on the agap MCP server; shared-mcp.json consumes it via
bearerTokenEnvVar so the Kimi backbone authenticates too.
agent-registry.yaml / agent_registry.py: the version-controlled source of
truth for agent identities and trust classes -- the same ids the agap-mcp
token map resolves to (`adolf`, `claude-coder`; note `claude-code-cli` is the
runtime entry, not an agent identity).
model-registry.yaml, litellm-config.yaml, auto-router-routes.json and
provision_litellm_keys.py: model tiering, virtual-key provisioning and
auto-router routes. tei-reranker/ is the local reranker service backing
Hindsight recall.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Runs the kimi-code coding agent in its own container, exposed as an
OpenAI-compatible model ("kimi-agent") that LiteLLM/Open WebUI can call
directly. Backed by the user's own Kimi/Moonshot subscription via
`kimi login`, not the pay-per-token API. Mount is scoped to a dedicated
~/kimi-workspace directory rather than the full home dir.
- LiteLLM proxy with langfuse callbacks, postgres backends, and OpenRouter fallbacks.
- Langfuse observability UI.
- Pipecat voice pipeline (LiveKit + STT + TTS + LLM) and Silero TTS build contexts.
- Ollama tuned for GPU (OLLAMA_NUM_GPU=999, mem_limit=4g, max 2 loaded models).
- open-webui wired to litellm + faster-whisper + silero for voice.
- litellm-config.yaml publishes oO's model aliases (tip-generator, embedder, judge)
pointing at the host ollama on :11434 so ml/serving can call them via LiteLLM.
.env skipped (secrets).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
