Commit Graph

4 Commits

Author SHA1 Message Date
e049eef81a Adolf: decommission Cognee (H4) + standalone hindsight-llm + vault access
H4 (kb#76) - Cognee -> Hindsight migration finished:
- New openai/hindsight-llm/ (clone of cognee-llm, :8012, own volume) so
  Hindsight's Kimi LLM no longer depends on the cognee stack
- Repointed hindsight service LLM at hindsight-llm:8012 (+ depends_on)
- Removed cognee, cognee-mcp, cognee-llm services + cognee-llm-home volume
  from openai/docker-compose.yml
- Removed the disabled cognee-memory plugin entry from openclaw.json

Vault access (kb#64): wired the shared agap-mcp (:3100, same MCP Claude uses)
into Adolf's registry - "agap" server in shared-mcp.json + openclaw.json
mcp.servers. Adolf can now fetch credentials from Vaultwarden (verified).

Note: agap-mcp/docker-compose.yml (repointed to the adolf46 account) is
deliberately NOT in this commit - it holds the master password in plaintext.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014t8Qg9gi7H7HtT8MncoXAB
2026-07-16 09:12:53 +00:00
4ac595a3a9 Adolf memory: migrate Cognee -> Hindsight + Kimi quota tooling
Memory migration (H1-H5, kb#73-77,84):
- hindsight service in openai/docker-compose.yml: LLM via Kimi (cognee-llm
  wrapper), multilingual GPU embeddings (bge-m3 via ollama), jina multilingual
  reranker; pg0 + model cache persisted
- openclaw.json/shared-mcp.json: mcp.servers cognee -> hindsight (bank "adolf")
- hindsight-openclaw-plugin: forced-hook memory (before_prompt_build recall +
  agent_end retain), replacing cognee's hook layer; cognify-sweep dropped
- verified live: Russian retain->recall, cross-session recall, bank isolation

Kimi quota (kb#62):
- adolf-llm/server.js: LLM-free GET /usage route (Kimi managed-usage API)
- quota-command-openclaw-plugin: /quota readout command

Cognee stack left running (decommission is H4/kb#76). Kimi-quota-footer
auto-append abandoned (streamed Matrix replies bypass outbound hooks).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014t8Qg9gi7H7HtT8MncoXAB
2026-07-15 19:53:21 +00:00
9ab6b7dfed openai: shared MCP layer + openclaw-tools bridge [Adolf P5]
- adolf-llm/server.js now loads SHARED_MCP_SERVERS from the mounted
  /shared-mcp.json instead of a hardcoded stub, so adding a shared MCP
  server is a one-file change. Verified end-to-end: a real chat-completions
  turn writes a session .mcp.json containing both cognee and openclaw-tools
  entries (kimi itself still needs `kimi login` in adolf-llm-home, unrelated
  to this change).
- Documented the Gate-1 transport reconciliation: decompiled the installed
  @moonshot-ai/kimi-code package to confirm its .mcp.json schema keys remote
  servers on `transport` ("stdio"/"http"/"sse", inferred as "http" from a
  bare `url`, never "sse"), while OpenClaw's own canonical mcp.servers schema
  uses different literals ("streamable-http"/"sse") for the same field name
  and treats `type` as a CLI-native alias it normalizes itself. `type: "http"`
  is the one shape both consumers tolerate, so shared-mcp.json keeps it.
- New openai/openclaw-tools/ service: a stateless MCP-over-Streamable-HTTP
  bridge (Node, @modelcontextprotocol/sdk) exposing message_send, cron_create,
  cron_list, nodes_invoke, and browser_invoke, each proxying to the OpenClaw
  gateway's POST /tools/invoke. Verified initialize + tools/list handshake and
  a tools/call against the not-yet-running `adolf` gateway returns a clean
  isError content instead of breaking the MCP connection. Documented that
  cron/nodes are hard-denied on that HTTP surface by default until P6 adds
  them to gateway.tools.allow; message/browser are not similarly restricted.
- Wired openclaw-tools into docker-compose.yml (openai network, :8020) and
  added its shared-mcp.json entry alongside cognee.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
2026-07-05 15:49:23 +00:00
1e66d3dcb5 openai: deploy cognee + cognee-mcp memory service [Adolf P4]
Resolves the 4 P4 blockers and wires cognee/cognee-mcp into the openai
compose stack:

- qdrant: container was gone (data intact under /mnt/ssd/dbs/qdrant);
  brought back up, confirmed healthy on :6333.
- Embeddings: switched from a dead LiteLLM route to ollama directly
  (host.docker.internal:11436, nomic-embed-text, 768-dim), using cognee's
  dedicated OllamaEmbeddingEngine and its native /api/embed endpoint.
  Requires extra_hosts: host.docker.internal:host-gateway since ollama
  lives in a separate compose project.
- cognee-llm kimi auth: root cause was that cognee-llm had never been
  started, so its kimi-agent-home-equivalent volume didn't exist yet.
  Seeded cognee-llm-home from the already-authed kimi-agent-home volume
  (read-only copy of config/credentials/oauth/device_id); cognee-llm now
  serves real completions.
- mkdir'd cognee data/system dirs: confirmed present (done by user).

Also fixed three issues found only during a live end-to-end smoke test:
- VECTOR_DB_PROVIDER must be a real container env var, not just present in
  the mounted cognee.env — the qdrant adapter's sitecustomize.py
  registration hook reads os.environ directly, which pydantic-settings'
  env_file parsing never populates.
- Baked the Kuzu/Ladybug JSON extension into the cognee image. This
  deployment's egress to extension.ladybugdb.com is bandwidth-throttled to
  ~1.2 KB/s, so cognee's own runtime auto-download reliably timed out,
  leaving /health permanently unhealthy and graph queries failing. Fetched
  the ~827KB extension out-of-band (16-way parallel ranged GETs) and added
  it to the image via COPY.
- LLM_ENDPOINT needed an explicit /v1 suffix (litellm appends
  "/chat/completions" verbatim) and LLM_INSTRUCTOR_MODE=json_mode is
  required since cognee-llm's Kimi wrapper is a text-only pass-through with
  no real tool-calling support.

Verified with a full remember -> recall round trip through cognee-mcp's
MCP tool surface: stored a fact containing a codeword, recalled it via
GRAPH_COMPLETION search, got the exact codeword back. Exercises cognee-llm,
ollama embeddings, Qdrant, and Kuzu together.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
2026-07-05 15:35:05 +00:00