DataClaw / .env.example
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Release v1.0: add dataset card and unify MIT license for Hugging Face
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# === Docker ===
DOCKER_IMAGE=dataclaw:0.1.0
GATEWAY_PORT=3333
TMP_WORKSPACE=/tmp_workspace
# === Benchmark ===
DEFAULT_MODEL=
JUDGE_MODEL=openrouter/anthropic/claude-opus-4.5
DEFAULT_PARALLEL=1
OUTPUT_SUBDIR=output
BENCHMARK_TIMEOUT_MULTIPLIER=1.0
BENCHMARK_RUNS=1
# === Web search (OpenClaw web_search tool) ===
# Register at https://brave.com/search/api/ (Search plan), then set the key.
# OpenClaw docs: https://docs.openclaw.ai/tools/brave-search
BRAVE_API_KEY=
# Optional tuning (defaults match OpenClaw docs)
# BRAVE_WEB_SEARCH_MAX_RESULTS=5
# BRAVE_WEB_SEARCH_TIMEOUT_SECONDS=30
# method 1: use openrouter
# === Auth: OpenRouter ===
OPENROUTER_API_KEY=
# method 2: use custom api
# === Auth: Custom OpenAI-compatible API (optional) ===
# OPENCLAW_CUSTOM_BASE_URL=https://your-api-url/v1
# OPENCLAW_CUSTOM_API_KEY=
# OPENCLAW_CUSTOM_MODEL_ID=
# === Auth: Judge Custom API (optional, separate endpoint for judge model) ===
# JUDGE_CUSTOM_BASE_URL=https://your-judge-api-url/v1
# JUDGE_CUSTOM_API_KEY=
# JUDGE_CUSTOM_MODEL_ID=
# === Agent model capabilities (cost unit: USD per 1M tokens) ===
# OPENCLAW_MODEL_CONTEXT_WINDOW=128000
# OPENCLAW_MODEL_MAX_TOKENS=16384
# OPENCLAW_MODEL_COST_INPUT=0
# OPENCLAW_MODEL_COST_OUTPUT=0
# OPENCLAW_MODEL_COST_CACHE_READ=0
# OPENCLAW_MODEL_COST_CACHE_WRITE=0
# === Judge model capabilities (cost unit: USD per 1M tokens) ===
# JUDGE_MODEL_CONTEXT_WINDOW=128000
# JUDGE_MODEL_MAX_TOKENS=16384
# JUDGE_MODEL_COST_INPUT=0
# JUDGE_MODEL_COST_OUTPUT=0
# JUDGE_MODEL_COST_CACHE_READ=0
# JUDGE_MODEL_COST_CACHE_WRITE=0