snowspeeder
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- Point the agent at OpenWebUI's OpenAI-compatible API (LLM_BASE_URL,
LLM_API_KEY, LLM_MODEL) with GEMMA_* env fallbacks
- Add list_available_models() fetching {base_url}/models, filtering
non-chat ids (embedding/reranker)
- Rename GemmaLLM -> HopeLLM with update_options(model=...) for runtime
model switching (mutates _opts.model) and instance-based compaction
- Data channel: agent publishes {type: models} after connect and on
get_models; set_model switches live and acks model_changed
- Web UI: Brain section in the settings sheet with a model picker that
persists the choice in localStorage
- Update tests, CI workflow env, and docs for the new endpoint
35 lines
1.4 KiB
Bash
35 lines
1.4 KiB
Bash
# Azure Speech (required)
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AZURE_SPEECH_KEY=your-azure-speech-key
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AZURE_SPEECH_REGION=eastus
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# Default TTS voice (Azure Dragon HD Omni; supports inline delivery markers)
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AZURE_TTS_VOICE=en-US-Ava:DragonHDOmniLatestNeural
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# LLM (OpenWebUI on xNAS, OpenAI-compatible; also serves the local llama.cpp
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# models. The model can be switched live from the web UI settings sheet.)
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LLM_BASE_URL=http://192.168.86.2:3005/api
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LLM_MODEL=gemma-4-e4b
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LLM_API_KEY=sk-your-openwebui-api-key
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# LiveKit (generated in livekit.yaml, referenced here for the agent)
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LIVEKIT_URL=http://localhost:7880
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LIVEKIT_API_KEY=devkey
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LIVEKIT_API_SECRET=hopevoice-devsecret-2026-lan-only
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# Web UI port (9178 avoids the existing Unraid service on 8090)
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WEB_PORT=9178
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# ── Web access (MCP tools: web_search + web_scrape) ────────────────────────
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# Backed by the self-hosted Firecrawl stack on xNAS.
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WEB_MCP_ENABLED=true
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FIRECRAWL_BASE=http://192.168.86.2:3002
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# Only needed if your Firecrawl instance requires an API key
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# FIRECRAWL_API_KEY=
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# Per-user memory profiles and Bearer tokens live in config/users.json.
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VOICE_DEFAULT_USER=shane
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# Extra MCP servers (optional). JSON list of {url, transport} objects.
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# transport: "sse" | "streamable_http" | omit for auto-detect
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# EXTRA_MCP_SERVERS=[{"url":"http://192.168.86.2:3001/mcp","transport":"streamable_http"}]
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