Commit Graph
4 Commits
Author SHA1 Message Date
haylanandClaude-Bot f508f5670a feat(litellm): wire SearXNG search, pgvector knowledgebase, and memory ingestion
- search_tools block in litellm-config.yaml (SearXNG as a first-class
  search_provider, standalone /v1/search endpoint, not a model tool) plus
  extra_hosts on the litellm service so it can resolve search.home.
- New embedding-server (nomic-embed-text-v1.5 on a second llama.cpp
  instance), pgvector-db, and litellm-pgvector services — LiteLLM's native
  knowledgebase feature has no Qdrant backend, so this is the only
  self-hosted path (docs/research/litellm-knowledgebase.md).
- vector_store_registry + local-embedding model entry in
  litellm-config.yaml, wiring it together.
- scripts/ingest-memory.sh to load data/memory.md and
  data/claude-legacy-memory.md into the knowledgebase.
- docs/memory-knowledgebase.md documenting the whole setup; data/
  gitignored (personal memory content, not meant to be committed).
- New .env vars (SEARXNG_LAN_IP, PGVECTOR_DB_PASSWORD,
  LITELLM_PGVECTOR_API_KEY, LITELLM_PGVECTOR_EMBEDDING_KEY,
  EMBEDDING_MODEL_FILE) and generate-secrets.sh support for the
  auto-generatable ones.

Resolves #22 and #23 (wayfinder map #21). Not yet verified on real
hardware — see #24.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-02 21:38:16 +02:00
haylanandClaude-Bot 100fed4274 fix(litellm): default max_tokens=4096 for the reasoning model
Qwen3 spends output tokens on reasoning_content before writing content.
Open WebUI's default chat request doesn't set max_tokens, so it fell
through to llama.cpp's low default and the model ran out mid-thought,
returning finish_reason=length with empty content — no reply shown in
Open WebUI. Confirmed via a manual /v1/chat/completions call: works with
max_tokens=2000, fails without it.

litellm_params.max_tokens is a default, not a cap — any caller (or Open
WebUI's per-model Advanced Params) that sets its own max_tokens still
overrides it.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Q2CR8yawSf7pwAVYnjwFea
2026-09-02 20:55:39 +02:00
haylanandClaude-Bot 5cb34b19f3 Migrate Open WebUI and coding CLIs to the AI proxy (resolves #15)
Open WebUI now points at litellm instead of llama-server directly, using a
provisioned virtual key. llama-server's host port is dropped (internal-only
on the ai-stack network) since the proxy is the only intended entry point
now. docs/coding-cli-setup.md repointed at the proxy's endpoints/ports with
per-CLI virtual keys instead of the old shared dummy key.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-25 07:18:03 +02:00
haylanandClaude-Bot 0aefb36a48 Author LiteLLM AI proxy service (resolves #14)
Adds litellm + litellm-db to docker-compose.yml, litellm-config.yaml with
custom shadow-cost pricing (Claude Sonnet 5 reference, per #11) and a
priority-scheduling stub (per #16, needs real-hardware smoke test), and
required LITELLM_MASTER_KEY/SALT_KEY/DB_PASSWORD env vars. Untested on real
hardware — that's #17. Open WebUI/coding CLIs still talk to llama.cpp
directly, migration is #15.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-25 07:11:15 +02:00