ai: migrate LLM backbone from Kimi CLI to Codex CLI

Retires the Moonshot/Kimi subscription in favour of the already-paid ChatGPT
plan. Both CLI wrappers now run `codex exec`; the kimi-agent container is gone.

adolf-llm + hindsight-llm:
- runKimi -> runCodex (`codex exec --json --skip-git-repo-check`), resume via
  `codex exec resume <thread_id>`.
- MCP moves from a per-session .mcp.json (a workaround for Kimi having no
  --mcp-config-file flag) to a $CODEX_HOME/config.toml generated once at
  startup from shared-mcp.json. Field translation is load-bearing:
  bearerTokenEnvVar -> bearer_token_env_var, enabledTools -> enabled_tools.
- approval_policy="never" + sandbox_mode required, or unattended turns block
  on an approval prompt nobody can answer.

kimi-agent removed. It was the ONLY large-tier deployment behind LiteLLM, so
deleting it outright would have silently degraded every large-tier request to
the local 4B model via the existing fallbacks. tier-large, the auto_router
complex-reasoning route and their fallbacks now point at the codex-backed
adolf-llm wrapper (model_name: codex-agent).

Three environment blockers fixed along the way:
- OpenAI geo-blocks this host (403 unsupported_country_region_territory).
  Both containers now egress via the host xray proxy, with NO_PROXY keeping
  MCP and *.alogins.net traffic off the tunnel.
- node:22-slim ships no system CA store; the Rust codex binary validates TLS
  against it, so every HTTPS call failed with a generic transport error while
  Node's own fetch worked. ca-certificates added to both images.
- `codex exec resume` rejects -C/--cd (plain `codex exec` accepts it), which
  broke follow-up turns while first turns succeeded.

Known regression: Kimi's managed-usage API has no Codex equivalent, so the
/usage route returns 501 and there is no quota probe for the codex model.
The two quota plugins degrade quietly to no output.

Also: stop tracking cognee.env (live LLM + JWT secrets) and gitignore it.
The secrets remain in earlier history and should be rotated.

Verified live: plain turn, SSE streaming, session resume, MCP tool call,
bearer-token MCP call, and completions through both LiteLLM routes.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014Y5QPagv4iun1ghpwM96Ff

ai/adolf-llm/service-block.yml

@@ -0,0 +1,26 @@
+# adolf-llm — conversational Codex-CLI wrapper (P2, :8010). OpenAI-compatible,
+# model id "adolf". Real streaming, chat_id session mapping (1:1 `codex exec
+# resume`), media persistence, shared MCP via a generated $CODEX_HOME/config.toml.
+# Needs `codex login` credentials seeded into its own home volume.
+#
+# Migrated off Kimi CLI (2026-07-31) for cost: the Moonshot subscription is
+# replaced by the existing ChatGPT plan. NOTE the home volume changed from
+# adolf-llm-home (/root/.kimi-code) to adolf-llm-codex-home (/root/.codex) —
+# the old volume holds Kimi OAuth creds and can be dropped once this is verified.
+#
+# Orchestrator: merge this `adolf-llm` service + the two named volumes into
+# ai/docker-compose.yml (do NOT edit that file here).
+services:
+  adolf-llm:
+    build: ./adolf-llm
+    container_name: adolf-llm
+    ports:
+      - "8010:8010"
+    volumes:
+      - adolf-llm-workspace:/workspace
+      - adolf-llm-codex-home:/root/.codex
+    restart: unless-stopped
+
+volumes:
+  adolf-llm-workspace:
+  adolf-llm-codex-home: