Yif-Yang
61 lines
3.3 KiB
Bash
61 lines
3.3 KiB
Bash
# SkillOpt Environment Variables
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# Copy this file to .env and fill in your values.
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# Usage: set -a; source .env; set +a
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# ── Azure OpenAI (required for openai_chat backend) ──────────────────
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export AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/
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export AZURE_OPENAI_API_VERSION=2024-12-01-preview
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# Authentication: choose one method
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# Option 1: API Key
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export AZURE_OPENAI_API_KEY=
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export AZURE_OPENAI_AUTH_MODE=api_key
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# Option 2: Azure CLI (no API key needed, recommended on Azure VMs)
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# export AZURE_OPENAI_AUTH_MODE=azure_cli
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# Option 3: Managed Identity
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# export AZURE_OPENAI_AUTH_MODE=managed_identity
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# export AZURE_OPENAI_MANAGED_IDENTITY_CLIENT_ID=your-client-id
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# ── OpenAI-compatible endpoints ──────────────────────────────────────
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# Path 1: generic research backend. Select openai_compatible explicitly as
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# model.optimizer_backend and/or model.target_backend.
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# export OPENAI_COMPATIBLE_BASE_URL=https://api.deepseek.com/v1
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# export OPENAI_COMPATIBLE_API_KEY=sk-...
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# export OPENAI_COMPATIBLE_MODEL=deepseek-chat
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# Per-role overrides use OPTIMIZER_OPENAI_COMPATIBLE_* and
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# TARGET_OPENAI_COMPATIBLE_* (BASE_URL, API_KEY, MODEL, TEMPERATURE,
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# MAX_TOKENS, TIMEOUT_SECONDS).
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# For scripts/train.py and scripts/eval_only.py, also set model.optimizer and
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# model.target in YAML (or via --cfg-options). Those role model values are
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# applied after backend initialization and override *_MODEL environment values.
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# Path 2: research openai_chat compatibility mode. This reuses the Azure-family
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# variables but creates a plain OpenAI client (no Azure auth or api-version).
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# export AZURE_OPENAI_ENDPOINT=https://api.openai.com/v1
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# export AZURE_OPENAI_API_KEY=sk-...
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# export AZURE_OPENAI_AUTH_MODE=openai_compatible
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# Path 3: SkillOpt-Sleep. `skillopt-sleep run --backend azure_openai` uses the
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# same three AZURE_* variables from path 2. Optional Sleep-only controls:
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# export SKILLOPT_SLEEP_COMPAT_MAX_TOKENS=8192
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# export SKILLOPT_SLEEP_CHAT_EXTRA_BODY='{"provider_option": true}'
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# ── Claude Code CLI (for claude_chat backend) ─────────────────────────
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# Install and authenticate the `claude` CLI before use. For a non-default path:
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# export CLAUDE_CLI_BIN=/path/to/claude
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# ANTHROPIC_API_KEY is one authentication option understood by the CLI; SkillOpt
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# does not create a direct Anthropic API client for this backend.
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# export ANTHROPIC_API_KEY=sk-ant-...
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# ── Qwen Local Model (for qwen_chat backend) ────────────────────────
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# export QWEN_CHAT_BASE_URL=http://localhost:8000/v1
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# export QWEN_CHAT_MODEL=Qwen/Qwen3.5-4B
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# The train/eval entry points likewise override this model with
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# model.optimizer/model.target for the selected Qwen roles.
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# ── MiniMax (for minimax_chat backend) ──────────────────────────────
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# export MINIMAX_BASE_URL=https://api.minimax.io/v1
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# export MINIMAX_API_KEY=...
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# When MiniMax is the target, set model.minimax_model in YAML. The current
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# adapter shares one deployment across MiniMax roles; mixed-backend runs cannot
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# independently select a MiniMax optimizer model and a different target model.
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