refactor(infra): drop ai profile; ollama + litellm move to Agap

Ollama and LiteLLM are shared Agap services (agap_git/openai/docker-compose.yml);
oO never starts them. Removes the ai profile, the litellm config, and the
--profile ai runbook; points ml-serving at https://llm.alogins.net by default
and adds host.docker.internal host-gateway so the container can hit Agap ollama
on the host.

Also updates the tip-generator model alias to qwen2.5:1.5b to match the model
actually pulled on Agap ollama (7b is ~4.7 GB and would blow VRAM budget).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

.env.example

@@ -10,10 +10,12 @@ API_BASE_URL=http://localhost:3078
 WEB_BASE_URL=http://localhost:3000
 ML_SERVING_URL=http://localhost:8000
 
-# AI stack — Ollama + LiteLLM (docker compose --profile ai)
-LITELLM_URL=http://localhost:4000
+# AI stack — shared Agap services (ollama + litellm + langfuse). Not run from oO.
+# Prod: https://llm.alogins.net  |  Dev: http://host.docker.internal:4000 from containers,
+# http://localhost:4000 from host. Ollama: http://host.docker.internal:11434 / :11434.
+LITELLM_URL=https://llm.alogins.net
 LITELLM_MASTER_KEY=sk-oo-dev
-OLLAMA_URL=http://localhost:11434
+OLLAMA_URL=http://host.docker.internal:11434
 
 # Google OAuth — https://console.cloud.google.com/
 GOOGLE_CLIENT_ID=

CLAUDE.md

@@ -82,13 +82,13 @@ oO generates tips with an LLM and ranks them with a bandit. All LLM calls route
 
 | Alias | Model | Used by |
 |-------|-------|---------|
-| `tip-generator` | qwen2.5:7b (default) | `ml/serving` tip generation |
+| `tip-generator` | qwen2.5:1.5b (default) | `ml/serving` tip generation |
 | `embedder` | nomic-embed-text | task clustering, dedup |
 | `judge` | claude-haiku-4-5 (cloud, eval only) | offline sim |
 
-Env vars: `LITELLM_URL` (default `http://localhost:4000`), `OLLAMA_URL` (default `http://localhost:11434`).
+Env vars: `LITELLM_URL` (prod `https://llm.alogins.net`), `OLLAMA_URL` (Agap host, `http://host.docker.internal:11434` from containers).
 
-Start with: `docker compose --profile ai up` (adds Ollama + LiteLLM locally). In prod both are shared Agap services.
+Ollama and LiteLLM are **shared Agap services**, not oO services — they live in `agap_git/openai/docker-compose.yml` along with langfuse (observability). oO never starts them; ml-serving just calls the alias.
 
 **LLM tip generation pipeline:**
 1. `ml/features/context.py` assembles user signals → structured prompt context

infra/docker/docker-compose.yml

@@ -65,8 +65,10 @@ services:
     profiles: [full]
     env_file: ../../.env.local
     environment:
-      LITELLM_URL: ${LITELLM_URL:-http://litellm:4000}
-      OLLAMA_URL: ${OLLAMA_URL:-http://ollama:11434}
+      LITELLM_URL: ${LITELLM_URL:-https://llm.alogins.net}
+      OLLAMA_URL: ${OLLAMA_URL:-http://host.docker.internal:11434}
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
     ports:
       - "127.0.0.1:8000:8000"
     healthcheck:
@@ -159,25 +161,6 @@ services:
       airflow-init:
         condition: service_completed_successfully
 
-  # ── ai profile — Ollama + LiteLLM ────────────────────────────────────────
-  # Start: docker compose --profile ai up
-  # LiteLLM proxy: http://localhost:4000  (master key from LITELLM_MASTER_KEY)
-  # Ollama API:    http://localhost:11434
-  # In prod both are shared Agap services; set LITELLM_URL + OLLAMA_URL in .env.local
-
-  ollama:
-    image: ollama/ollama:latest
-    profiles: [ai]
-    volumes:
-      - /mnt/ssd/dbs/oo/ollama:/root/.ollama
-    ports:
-      - "127.0.0.1:11434:11434"
-    healthcheck:
-      test: ["CMD", "curl", "--fail", "http://localhost:11434"]
-      interval: 15s
-      timeout: 5s
-      retries: 5
-
   # ── events profile — NATS JetStream ─────────────────────────────────────
   # Start: docker compose --profile events up
   # NATS monitoring: http://localhost:8222
@@ -198,26 +181,6 @@ services:
       timeout: 5s
       retries: 5
 
-  litellm:
-    image: ghcr.io/berriai/litellm:main-latest
-    profiles: [ai]
-    command: ["--config", "/app/litellm_config.yaml", "--port", "4000"]
-    environment:
-      LITELLM_MASTER_KEY: ${LITELLM_MASTER_KEY:-sk-oo-dev}
-      OLLAMA_URL: ${OLLAMA_URL:-http://ollama:11434}
-    volumes:
-      - ../../infra/litellm/litellm_config.yaml:/app/litellm_config.yaml:ro
-    ports:
-      - "127.0.0.1:4000:4000"
-    depends_on:
-      ollama:
-        condition: service_healthy
-    healthcheck:
-      test: ["CMD", "curl", "--fail", "http://localhost:4000/health"]
-      interval: 15s
-      timeout: 5s
-      retries: 5
-
   mlflow:
     image: ghcr.io/mlflow/mlflow:v2.14.3
     profiles: [mlops]

infra/litellm/litellm_config.yaml

@@ -1,17 +0,0 @@
-model_list:
-  - model_name: tip-generator
-    litellm_params:
-      model: ollama/qwen2.5:7b
-      api_base: "${OLLAMA_URL}"
-
-  - model_name: embedder
-    litellm_params:
-      model: ollama/nomic-embed-text
-      api_base: "${OLLAMA_URL}"
-
-  - model_name: judge
-    litellm_params:
-      model: claude-haiku-4-5-20251001
-
-general_settings:
-  master_key: "${LITELLM_MASTER_KEY}"