pyr0ball
82c26074d8
Bug fixes (filed as #125–#128): - Wizard step 7 read data.titles instead of data.search.titles — user-entered job titles and locations were silently dropped on every wizard run (#125) - GET /api/settings/search returned "titles" key but store expected "job_titles" — Settings → Search Prefs always showed empty even when data existed (#126) - remote_only preference not persisted during wizard setup (#127) - apply-to-profile didn't set default_resume_id in user.yaml, so future Resume Profile saves never synced back to the library entry (#128) Also: - Wizard step headings corrected (off-by-one after Training step was inserted) - Ollama host in wizard inference step now reads from saved wizard state - Resume upload during wizard now creates a library entry and sets it as default Docs: - New: docs/user-guide/daily-workflow.md — end-to-end daily usage guide - Updated: docs/user-guide/settings.md — rewritten for Vue SPA (was Streamlit) - mkdocs.yml nav: Daily Workflow added as first User Guide entry GUI help links: - web/src/composables/useDocsUrl.ts — shared docs base URL composable - Home: "Daily Workflow guide ↗" link in subtitle - Job Review: "? Docs" link in title row - Resume Library: "? Help" link in header - Settings → Resume Profile: "? Help" link in page header - Settings → Search Prefs: "? Help" link in page header
92 lines
4.9 KiB
Text
92 lines
4.9 KiB
Text
# .env.example — copy to .env
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# Auto-generated by the setup wizard, or fill in manually.
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# NEVER commit .env to git.
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VUE_PORT=8506
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OLLAMA_PORT=11434
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VLLM_PORT=8000
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CF_TEXT_PORT=8008
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SEARXNG_PORT=8888
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VISION_PORT=8002
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VISION_MODEL=vikhyatk/moondream2
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VISION_REVISION=2025-01-09
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DOCS_DIR=~/Documents/JobSearch
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OLLAMA_MODELS_DIR=~/models/ollama
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VLLM_MODELS_DIR=~/models/vllm # override with full path to your model dir
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VLLM_MODEL=Ouro-1.4B # cover letters — fast 1.4B model
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VLLM_RESEARCH_MODEL=Ouro-2.6B-Thinking # research — reasoning 2.6B model; restart vllm to switch
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CF_TEXT_MODEL=/Library/Assets/LLM/qwen2.5-3b-instruct-q4_k_m.gguf # cf-text GGUF model; set to "mock" to disable
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VLLM_MAX_MODEL_LEN=4096 # increase to 8192 for Thinking models with long CoT
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VLLM_GPU_MEM_UTIL=0.75 # lower to 0.6 if sharing GPU with other services
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OLLAMA_DEFAULT_MODEL=llama3.2:3b
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# ── LLM env-var auto-config (alternative to config/llm.yaml) ─────────────────
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# Set any of these to configure LLM backends without needing a config/llm.yaml.
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# Priority: Anthropic > OpenAI-compat > Ollama (always tried as local fallback).
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OLLAMA_HOST=http://localhost:11434 # Ollama host; override if on a different machine
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OLLAMA_MODEL=llama3.2:3b # model to request from Ollama
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OPENAI_MODEL=gpt-4o-mini # model override for OpenAI-compat backend
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ANTHROPIC_MODEL=claude-haiku-4-5-20251001 # model override for Anthropic backend
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# API keys (required for remote profile)
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ANTHROPIC_API_KEY=
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OPENAI_COMPAT_URL=
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OPENAI_COMPAT_KEY=
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# Feedback button — Forgejo issue filing
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FORGEJO_API_TOKEN= # dev/admin token (your personal account)
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FORGEJO_BOT_TOKEN= # cf-bugbot bot token — used for in-app feedback; falls back to FORGEJO_API_TOKEN
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FORGEJO_REPO=pyr0ball/peregrine
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FORGEJO_API_URL=https://git.opensourcesolarpunk.com/api/v1
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# GITHUB_TOKEN= # future — enable when public mirror is active
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# GITHUB_REPO= # future
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# ── CF-hosted coordinator (Paid+ tier) ───────────────────────────────────────
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# Set CF_LICENSE_KEY to authenticate with the hosted coordinator.
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# Leave both blank for local self-hosted cf-orch or bare-metal inference.
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CF_LICENSE_KEY=
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GPU_SERVER_URL=https://orch.circuitforge.tech
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# CF_ORCH_URL is also accepted as a backward-compat alias for GPU_SERVER_URL
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# cf-orch agent — GPU profiles only (single-gpu, dual-gpu-*)
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# The agent registers this node with the cf-orch coordinator and reports VRAM stats.
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# CF_ORCH_COORDINATOR_URL: coordinator the agent registers with
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# CF_ORCH_NODE_ID: name shown on the dashboard (default: peregrine)
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# CF_ORCH_AGENT_PORT: host port for the agent HTTP server (default: 7701)
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# CF_ORCH_ADVERTISE_HOST: IP the coordinator uses to reach back to this agent.
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# Defaults to 127.0.0.1 (same-host coordinator).
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# Set to your host LAN IP for a remote coordinator.
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CF_ORCH_COORDINATOR_URL=http://localhost:7700
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CF_ORCH_NODE_ID=peregrine
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CF_ORCH_AGENT_PORT=7701
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#CF_ORCH_ADVERTISE_HOST=10.1.10.71
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# Cloud multi-tenancy (compose.cloud.yml only — do not set for local installs)
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CLOUD_MODE=false
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CLOUD_DATA_ROOT=/devl/menagerie-data
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SYNC_DB_PATH= # optional; defaults to CLOUD_DATA_ROOT/sync.db
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SYNC_DB_KEY= # optional; SQLCipher key for at-rest encryption
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DIRECTUS_JWT_SECRET= # must match website/.env DIRECTUS_SECRET value
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CF_SERVER_SECRET= # random 64-char hex — generate: openssl rand -hex 32
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PLATFORM_DB_URL=postgresql://cf_platform:<password>@host.docker.internal:5433/circuitforge_platform
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HEIMDALL_URL=http://cf-license:8000 # internal Docker URL; override for external access
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HEIMDALL_ADMIN_TOKEN= # must match ADMIN_TOKEN in circuitforge-license .env
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# ── Memory (mnemo sidecar) — opt-in, requires --profile memory ───────────────
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# Launch with: docker compose --profile memory --profile <gpu-profile> up -d
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# Mnemo builds a persistent knowledge graph from conversations and injects
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# relevant context back into LLM prompts. Uses the ollama service as its LLM.
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MNEMO_HOST=mnemo # internal service name; change for external sidecar
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MNEMO_PORT=8080
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MNEMO_LLM_PROVIDER=ollama # ollama | openai | anthropic | custom
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MNEMO_LLM_BASE_URL=http://ollama:11434/v1 # override for external LLM
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MNEMO_LLM_API_KEY=ollama # "ollama" is a dummy value for local Ollama
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MNEMO_LLM_MODEL=llama3.2:3b # must be pulled in the ollama container
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# ── Rate limiting (LLM generation endpoints) ─────────────────────────────────
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LLM_RATE_COVER_LETTER=20/hour
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LLM_RATE_RESEARCH=10/hour
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LLM_RATE_QA_SUGGEST=60/hour
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LLM_RATE_SURVEY=30/hour
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LLM_RATE_WIZARD=60/hour
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