deploy-litellm-plugin

name	deploy-litellm-plugin
description	Deploy, verify, upgrade, or roll back the anthropic_stream_guard LiteLLM plugin on a docker-compose LiteLLM gateway. Use when asked to install/uninstall the plugin, wire a LiteLLM deployment for native Claude Code clients, or verify the gateway stream fix.

Deploy the anthropic_stream_guard LiteLLM plugin

This repo ships a LiteLLM custom callback (no core patches) that makes /v1/messages safe for native Claude Code clients when the backend is an OpenAI-compatible reasoning model whose reasoning_content cannot be disabled (e.g. GLM-5.2 on Huawei MaaS). It re-sequences the malformed SSE stream and strips thinking/reasoning request params. Details: server/README.md, docs/PRD-anthropic-stream-guard.md.

1. Preflight

docker ps --format '{{.Names}}\t{{.Status}}' | grep -i litellm   # container healthy?
docker compose -f <LITELLM_DIR>/docker-compose.yml config --services  # service name

Defaults assumed by the installer: deployment dir /root/LiteLLM, service litellm, container litellm_proxy. Override with --litellm-dir, --service, --container, --config-file if different.

On a shared/production gateway: the install restarts the container (seconds of downtime). Confirm the window with the operator first.

2. Dry run, then install

server/install-litellm-plugin.sh --dry-run     # preview edits
server/install-litellm-plugin.sh               # backup + mount + callback + flag + restart + import check

The script is idempotent and backs up every file it touches (.bak.<ts>). It: mounts litellm_plugins/anthropic_stream_guard/callback.py as a SINGLE FILE at /app/anthropic_stream_guard.py (package dirs are not supported by LiteLLM's loader), registers anthropic_stream_guard.proxy_handler_instance under litellm_settings.callbacks, and sets use_chat_completions_url_for_anthropic_messages: true.

3. Config the script does NOT handle — check and apply manually

• model_list needs a claude-* wildcard route (Claude Code sends several internal model names). Template in server/README.md.
• Single-deployment backends: raise router_settings.allowed_fails (e.g. 1000) so transient failures cannot cooldown the only deployment into a total outage.
• Issue per-client virtual keys whose ACL includes claude-* (/key/generate, see server/README.md).

4. Verify

# stream protocol: first block "thinking", deltas legal, start/stop paired
curl -sN <BASE>/v1/messages -H 'content-type: application/json' \
  -H 'x-api-key: <key>' -H 'anthropic-version: 2023-06-01' \
  -d '{"model":"claude-opus-4-6","max_tokens":128,"stream":true,
       "thinking":{"type":"enabled","budget_tokens":1024},
       "messages":[{"role":"user","content":"what is 2+2?"}]}' \
  | grep -oE '"content_block": \{"type": "[a-z]+"'
# expect: thinking first, then text

curl -s <BASE>/metrics/ | grep '^asg_'        # plugin metrics live

# full unit suite (9 tests) inside the container
docker cp litellm_plugins/anthropic_stream_guard/callback.py <CONTAINER>:/tmp/asg/anthropic_stream_guard.py
docker cp tests/test_anthropic_stream_guard.py <CONTAINER>:/tmp/asg_test.py
docker exec <CONTAINER> python /tmp/asg_test.py   # expect: ALL 9 TESTS PASS

python3 tests/live_smoke.py all               # optional end-to-end regression

5. Rollback

server/install-litellm-plugin.sh --uninstall   # removes mount + callback, restarts

or restore the .bak.<ts> files and restart. The plugin is stateless.

Gotchas

• The callback class must define its hooks directly (LiteLLM checks type(callback).__dict__) — do not wrap it in a subclass.
• After editing the mounted plugin file, docker compose up -d is NOT enough (content changes don't trigger recreate) — use docker restart <CONTAINER>.
• Alert on asg_parse_errors_total growth after LiteLLM upgrades (format drift), and consider retiring the plugin when asg_retyped_blocks_total stops increasing under traffic (upstream fixed).