avocet/.env.example
pyr0ball bce932461a feat: plans benchmark harness — model scoring for CF planning prompts
Adds benchmark_plans.py script, plans_bench API router, PlansBenchTab Vue
component, and registers /api/plans-bench in api.py. Also extends models
registry (cf-text catalog integration), cforch client, LlmEvalTab, and
ModelsView with cf-orch fleet support. Wires Planning mode into BenchmarkView.
2026-05-02 23:36:04 -07:00

23 lines
1.3 KiB
Text

# Avocet — environment variable configuration
# Copy to .env and fill in values. All keys are optional.
# label_tool.yaml takes precedence over env vars where both exist.
# ── Local inference (Ollama) ───────────────────────────────────────────────────
# OLLAMA_HOST defaults to http://localhost:11434 if unset.
OLLAMA_HOST=http://localhost:11434
OLLAMA_MODEL=llama3.2:3b
# ── cf-orch coordinator (paid/premium tiers) ───────────────────────────────────
# Required for multi-GPU LLM benchmarking via the cf-orch benchmark harness.
# Free-tier users can leave these unset and use Ollama only.
CF_ORCH_URL=http://localhost:7700
CF_LICENSE_KEY=CFG-AVCT-xxxx-xxxx-xxxx
# ── Cloud LLM backends (optional — paid/premium) ──────────────────────────────
# Set one of these to use a cloud LLM instead of a local model.
# ANTHROPIC_API_KEY=sk-ant-...
# OPENAI_API_KEY=sk-...
# ── HuggingFace (required for gated/terms-restricted model downloads) ─────────
# Generate at https://huggingface.co/settings/tokens and accept model terms first.
# HF_TOKEN=hf_xxxxxxxxxxxxxxxxxxxx