- Installed hooks: boot-md, session-memory, command-logger, bootstrap-extra-files - Updated default model to litellm/copilot-claude-sonnet-4.6 - Added memory/startup-health.json + boot-last-run.json from boot check - Added memory/startup-health.md warning log - Captured new session memory files (2026-03-04/05) - Minor MEMORY.md + USER.md: added git preference line
5.3 KiB
Session: 2026-03-03 18:00:45 UTC
- Session Key: agent:main:main
- Session ID: fe1b7054-41fb-462f-8177-f4e8998f988b
- Source: gateway:sessions.reset
Conversation Summary
assistant: reply_to_current Done — updated.
What’s now in litellm-config.yaml
- Gemini was already present:
gemini-1.5-progemini-1.5-flash
- z.ai added:
zai-glm-4.7zai-glm-4.7-flash- both using:
api_base: https://api.z.ai/api/coding/paas/v4api_key: os.environ/ZAI_API_KEY
If you want, I can also add newer Gemini aliases (e.g. 2.x) and/or switch Gemini key var from GOOGLE_API_KEY to GEMINI_API_KEY if that’s what your env uses.
user: [Tue 2026-03-03 09:37 UTC] Update the file accordingly based on the currently configured providers
assistant: reply_to_current Done — I updated litellm-config.yaml to match the providers currently configured on this host.
Kept (configured)
- OpenAI-compatible local endpoint (
OPENAI_BASE_URL+OPENAI_API_KEY) - z.ai (
ZAI_API_KEY, basehttps://api.z.ai/api/coding/paas/v4)glm-5glm-4.7glm-4.7-flashglm-4.7-flashx
Removed (not currently configured)
- Anthropic
- OpenRouter
- Opencode
- Gemini
If you want Gemini included too, I can add it back with GEMINI_API_KEY entries as soon as you confirm that key/env is set.
user: [Tue 2026-03-03 09:42 UTC] We have litellm fixed. Can you test it?
assistant: reply_to_current I tested from here — current status:
http://192.168.153.113:18805/v1/modelsresponds, but returns TTS models (kokoro,tts-1, etc.), not your LiteLLM model list.http://192.168.153.113:18805/v1/chat/completionsreturns404 Not Found.- No local LiteLLM listener appears to be running on this host (
127.0.0.1:4000/8000not reachable).
So LiteLLM itself is likely on a different port/host (or not started yet).
If you share the exact LiteLLM base URL (e.g. http://<host>:<port>/v1), I’ll run a real end-to-end test immediately.
user: [Tue 2026-03-03 09:43 UTC] NAME IMAGE COMMAND SERVICE CREATED STATUS PORTS brave-search mcp/brave-search:latest "node dist/index.js" brave-search 2 hours ago Up 2 hours 0.0.0.0:18802->8000/tcp, [::]:18802->8000/tcp kokoro-tts ghcr.io/remsky/kokoro-fastapi-cpu:latest "./entrypoint.sh" kokoro-tts 2 hours ago Up 2 hours 0.0.0.0:18805->8880/tcp, [::]:18805->8880/tcp litellm litellm/litellm:latest "docker/prod_entrypo…" litellm 2 hours ago Up 3 minutes (unhealthy) 0.0.0.0:18804->4000/tcp, [::]:18804->4000/tcp searxng searxng/searxng:latest "/usr/local/searxng/…" searxng 2 hours ago Up 2 hours 0.0.0.0:18803->8080/tcp, [::]:18803->8080/tcp whisper-server ghcr.io/ggml-org/whisper.cpp:main "whisper-server --mo…" whisper-server 2 hours ago Up 2 hours (healthy) 0.0.0.0:18801->8080/tcp, [::]:18801->8080/tcp
assistant: reply_to_current Yep — tested. Good news/bad news:
✅ LiteLLM is reachable at :18804 and serving model aliases:
gpt-4ogpt-4-turbozai-glm-5zai-glm-4.7zai-glm-4.7-flashzai-glm-4.7-flashx
❌ Actual completions fail (auth upstream):
zai-glm-4.7-flashreturnsAuthentication parameter not received in Header- Health endpoint shows all configured backends unhealthy for missing upstream API keys.
So your LiteLLM config is loaded, but container env is missing provider keys (ZAI_API_KEY, and for OpenAI route, OPENAI_API_KEY if used upstream directly).
If you want, I can give you a minimal docker-compose env block to make it green in one restart.
user: [Tue 2026-03-03 10:09 UTC] Can you try to hit the litellm API? Here is a virtual key: sk-IlDTV8FaW0vTUL_a4VDhMw
assistant: reply_to_current Tested with your virtual key.
GET /v1/models✅ works (returns your configured aliases)POST /v1/chat/completions❌ still fails:zai-glm-4.7-flash: upstream auth missinggpt-4o: upstream OpenAI API key missing
So your virtual key is valid for LiteLLM, but LiteLLM itself still lacks provider creds in its container env.
You need to set (at least):
ZAI_API_KEY(for z.ai models)OPENAI_API_KEY(for gpt-4o / gpt-4-turbo)
Then restart litellm container and re-test. user: [Tue 2026-03-03 10:41 UTC] ok test now assistant: reply_to_current Yep — much better now. I re-tested and it’s working.
Results
/v1/models✅ returns models (now includes Claude/Gemini/z.ai aliases too).gpt-4ochat completion ✅ returnedOK.zai-glm-4.7-flashchat completion ✅ works too (returnedOKwhen given enough tokens)./healthnow shows partial recovery: 7 healthy / 4 unhealthy.
So LiteLLM is up and functional with your virtual key.
If you want, I can run one quick probe to list exactly which 4 models are still unhealthy.
user: [Tue 2026-03-03 11:07 UTC] Test litellm with gpt-5-mini
assistant: reply_to_current Tested.
gpt-5-mini currently fails on your LiteLLM with:
no healthy deployments for this model (
model=gpt-5-mini)
So it isn’t mapped/configured (or healthy) in your current LiteLLM setup yet.
user: [Tue 2026-03-03 11:08 UTC] Test litellm with openai/gpt-5-mini
assistant: reply_to_current Tested openai/gpt-5-mini.
Result: ❌ fails with:
OpenAIException - Unknown parameter: 'credential_name'
So this route is being attempted, but there’s a provider-side/request-shape mismatch in the current LiteLLM/OpenAI config for that model.