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71792fda81
* feat: add Atlas Cloud as OpenAI-compatible LLM provider - Add Atlas Cloud env vars to .env.example (ATLAS_API_KEY, ATLAS_BASE_URL) - Add docs/ATLAS-CLOUD-GUIDE.md with configuration, model list, and usage example - Atlas Cloud provides 59+ LLM models via OpenAI-compatible API at https://api.atlascloud.ai/v1 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(atlascloud): add Atlas Cloud provider implementation Wire Atlas Cloud in as a first-class OpenAI-compatible LLM provider, complementing the existing .env.example/docs entries. - src/llm/providers/atlas.py: AtlasProvider adapter (base_url https://api.atlascloud.ai/v1, default model deepseek-ai/deepseek-v4-pro); floors max_tokens to 512 for reasoning models; reads ATLAS_API_KEY (falls back to ATLASCLOUD_API_KEY), ATLAS_BASE_URL, ATLAS_MODEL - src/llm/core/types.py: add ProviderType.ATLAS - providers __init__/resolver: export + register AtlasProvider - tests: test_atlas_provider.py + resolver coverage for "atlas" Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
61 lines
3.1 KiB
Plaintext
61 lines
3.1 KiB
Plaintext
# .env.example — Canonical list of required environment variables
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# Copy this file to .env and fill in real values.
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# NEVER commit .env to version control.
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#
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# Usage:
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# cp .env.example .env
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# # Then edit .env with your actual values
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# ─── Anthropic ────────────────────────────────────────────────────────────────
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# Your Anthropic API key (https://console.anthropic.com)
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ANTHROPIC_API_KEY=
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# ─── GitHub ───────────────────────────────────────────────────────────────────
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# GitHub personal access token (for MCP GitHub server)
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GITHUB_TOKEN=
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# ─── Optional: Docker platform override ──────────────────────────────────────
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# DOCKER_PLATFORM=linux/arm64 # or linux/amd64 for Intel Macs / CI
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# ─── Optional: Package manager override ──────────────────────────────────────
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# CLAUDE_CODE_PACKAGE_MANAGER=npm # npm | pnpm | yarn | bun
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# --- Optional: Astraflow / UModelVerse (OpenAI-compatible) -------------------
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# Global endpoint: https://api.umodelverse.ai/v1
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ASTRAFLOW_API_KEY=
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# ASTRAFLOW_MODEL=gpt-4o-mini
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# ASTRAFLOW_BASE_URL=https://api.umodelverse.ai/v1
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# China endpoint: https://api.modelverse.cn/v1
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ASTRAFLOW_CN_API_KEY=
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# ASTRAFLOW_CN_MODEL=gpt-4o-mini
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# ASTRAFLOW_CN_BASE_URL=https://api.modelverse.cn/v1
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# --- Optional: Atlas Cloud (OpenAI-compatible, 59+ LLM models) ---------------
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# Full-modal AI inference platform — LLM / image / video generation
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# Docs: https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=everything-claude-code
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ATLAS_API_KEY=
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# ATLAS_BASE_URL=https://api.atlascloud.ai/v1
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# ATLAS_MODEL=anthropic/claude-sonnet-4.6
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# ─── ECC agent data (multi-harness isolation) ───────────────────────────────
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# Memory hooks (sessions, learned skills, aliases, metrics). Default: ~/.claude
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# Use a separate root when running ECC in Cursor alongside Claude Code:
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# ECC_AGENT_DATA_HOME=$HOME/.cursor/ecc
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# ─── Session & Security ─────────────────────────────────────────────────────
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# GitHub username (used by CI scripts for credential context)
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GITHUB_USER="your-github-username"
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# Primary development branch for CI diff-based checks
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DEFAULT_BASE_BRANCH="main"
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# Path to session-start.sh (used by test/test_session_start.sh)
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SESSION_SCRIPT="./session-start.sh"
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# Path to generated MCP configuration file
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CONFIG_FILE="./mcp-config.json"
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# ─── Optional: Verbose Logging ──────────────────────────────────────────────
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# Enable verbose logging for session and CI scripts
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ENABLE_VERBOSE_LOGGING="false"
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