[Bug]: SUPERMEMORY_EMBEDDING_PROVIDER and related env vars are ignored — embedding hardcoded to local

Bug Description

The self-hosted Supermemory server ignores the SUPERMEMORY_EMBEDDING_PROVIDER, SUPERMEMORY_EMBEDDING_MODEL, SUPERMEMORY_EMBEDDING_DIMENSIONS, and SUPERMEMORY_EMBEDDING_BASE_URL environment variables documented at https://supermemory.ai/docs/self-hosting/embeddings. The embedding provider is hardcoded to local with model Xenova/bge-base-v1.5 (768d).

Environment Variables Not Read

The binary only references SUPERMEMORY_EMBEDDING_RAM_LIMIT — none of the following documented variables are present in the compiled binary:

• SUPERMEMORY_EMBEDDING_PROVIDER
• SUPERMEMORY_EMBEDDING_MODEL
• SUPERMEMORY_EMBEDDING_DIMENSIONS
• SUPERMEMORY_EMBEDDING_BASE_URL

Proof (binary analysis)

# Only EMBEDDING_RAM_LIMIT is found
strings /usr/local/bin/supermemory-server | grep -o "SUPERMEMORY_EMBEDDING[A-Z_]*" | sort -u
# Output: SUPERMEMORY_EMBEDDING_RAM_LIMIT

# Default provider hardcoded
strings /usr/local/bin/supermemory-server | grep "var y90"
# Output: var y90="local"

Steps to Reproduce

1. Set environment variables in /etc/supermemory/supermemory.env:

SUPERMEMORY_EMBEDDING_PROVIDER=openai
SUPERMEMORY_EMBEDDING_MODEL=BAAI/bge-m3
SUPERMEMORY_EMBEDDING_DIMENSIONS=1024
SUPERMEMORY_EMBEDDING_BASE_URL=http://10.10.0.2:3004/v1

1. Restart the service
2. Check logs — still shows * local embeddings Xenova/bge-base-v1.5
3. Verify env vars are loaded in process

Expected Behavior

The server should use the configured embedding provider (e.g., OpenAI-compatible endpoint with BAAI/bge-m3).

Actual Behavior

The server always uses local Xenova/bge-base-v1.5 (768d) regardless of environment variable configuration.

Affected Versions

• v0.0.6 (stable)
• v0.0.7-rc.2 (pre-release)

Impact

Users with non-English content cannot use the self-hosted server effectively because the default local model is English-only. The documented workaround (switching to remote embedding or local bge-m3) does not work.

Additional Context

• Platform: Ubuntu 24.04, x86_64
• Installation: systemd service
• The OpenAI-compatible endpoint works correctly when tested directly via curl
• The LLM configuration (OPENAI_BASE_URL, OPENAI_MODEL) works fine — only embedding is affected