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* feat(wizard): add Opper as an LLM provider Opper (https://opper.ai) is an EU-hosted AI gateway: 700+ models from 50+ providers behind one OpenAI-compatible API and one key. This adds it to the setup wizard's LLM_PROVIDERS next to OpenRouter, with the same shape: langchain_openai:ChatOpenAI pointed at https://api.opper.ai/v3/compat, env var OPPER_API_KEY. Models use Opper's bare model ids: claude-sonnet-4-6 (default), gpt-5.5, gemini-3.8-flash and gpt-5.4-mini. Because the GPT ids are bare, langchain-openai drops the 0.7 temperature for them the same way it does for direct OpenAI gpt-5 models. Checked: python -m py_compile scripts/wizard/providers.py, and each model id against Opper's public model list (GET https://api.opper.ai/v3/models). Not run locally: make lint and make test. Disclosure: Opper is my startup. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> * docs: add Opper to the config example and READMEs Add an Opper model example next to the other OpenAI-compatible gateways, as requested in review: - config.example.yaml: commented opper-claude-sonnet-4-6 block after the other gateway examples (ChatOpenAI + base_url, OPPER_API_KEY) - README.md and the translated READMEs: the same entry in the manual model configuration examples, after OpenRouter - .env.example and backend/docs/CONFIGURATION.md: OPPER_API_KEY, in the shape of the Novita lines claude-sonnet-4-6 is a pooled id in Opper's public catalogue (GET https://api.opper.ai/v3/models). config.example.yaml still parses with yaml.safe_load; config_version is unchanged because the schema is. Disclosure: Opper is my startup. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
120 lines
5.6 KiB
Plaintext
120 lines
5.6 KiB
Plaintext
# Serper API Key (Google Search) - https://serper.dev
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SERPER_API_KEY=your-serper-api-key
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# Serply API Key (Google Search, News and Scholar) - https://serply.io
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SERPLY_API_KEY=your-serply-api-key
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# TAVILY API Key
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TAVILY_API_KEY=your-tavily-api-key
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# Jina API Key
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JINA_API_KEY=your-jina-api-key
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# InfoQuest API Key
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INFOQUEST_API_KEY=your-infoquest-api-key
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# Sofya API Key (web search and fetch) - https://sofya.co
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SOFYA_API_KEY=your-sofya-api-key
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# Unbrowse API Key (web fetch) - https://unbrowse.ai/app
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UNBROWSE_API_KEY=your-unbrowse-api-key
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# Browser CORS allowlist for split-origin or port-forwarded deployments (comma-separated exact origins).
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# Leave unset when using the unified nginx endpoint, e.g. http://localhost:2026.
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# GATEWAY_CORS_ORIGINS=http://localhost:3000,http://127.0.0.1:3000
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# Host interface the Docker stack publishes its entry port on. Defaults to
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# 127.0.0.1 (loopback only), matching the local-trusted-environment deployment
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# model documented in README.md -- the agent can execute commands.
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# Set 0.0.0.0 only when the host is protected by your own TLS/auth front door
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# or firewall, and complete first-run setup before it becomes reachable.
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# BIND_HOST=0.0.0.0
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# PORT=2026
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# Optional:
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# FIRECRAWL_API_KEY=your-firecrawl-api-key
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# VOLCENGINE_API_KEY=your-volcengine-api-key
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# OPENAI_API_KEY=your-openai-api-key
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# OPENVIKING_API_KEY=your-openviking-user-api-key
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# GEMINI_API_KEY=your-gemini-api-key
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# DEEPSEEK_API_KEY=your-deepseek-api-key
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# NOVITA_API_KEY=your-novita-api-key # OpenAI-compatible, see https://novita.ai
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# MINIMAX_API_KEY=your-minimax-api-key # OpenAI-compatible, see https://platform.minimax.io
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# OPPER_API_KEY=your-opper-api-key # OpenAI-compatible, see https://opper.ai
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# OpenAI-compatible Images API (used by the image-generation skill)
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# IMAGE_GENERATION_PROVIDER=openai # openai-compatible is also accepted
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# IMAGE_GENERATION_API_KEY=your-image-generation-api-key
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# IMAGE_GENERATION_BASE_URL=https://api.openai.com/v1
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# IMAGE_GENERATION_MODEL=gpt-image-2.5-flare
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# IMAGE_GENERATION_SIZE=1536x1024
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# STEPFUN_API_KEY=your-stepfun-api-key # OpenAI-compatible, see https://platform.stepfun.com
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# VLLM_API_KEY=your-vllm-api-key # OpenAI-compatible
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# E2B cloud sandbox API key — required only when using E2BSandboxProvider.
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# Sign up at https://e2b.dev/dashboard
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# E2B_API_KEY=your-e2b-api-key
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# FEISHU_APP_ID=your-feishu-app-id
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# FEISHU_APP_SECRET=your-feishu-app-secret
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# SLACK_BOT_TOKEN=your-slack-bot-token
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# SLACK_APP_TOKEN=your-slack-app-token
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# TELEGRAM_BOT_TOKEN=your-telegram-bot-token
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# DISCORD_BOT_TOKEN=your-discord-bot-token
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# Enable LangSmith to monitor and debug your LLM calls, agent runs, and tool executions.
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# LANGSMITH_TRACING=true
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# LANGSMITH_ENDPOINT=https://api.smith.langchain.com
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# LANGSMITH_API_KEY=your-langsmith-api-key
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# LANGSMITH_PROJECT=your-langsmith-project
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# GitHub API Token
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# GITHUB_TOKEN=your-github-token
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# Database (only needed when config.yaml has database.backend: postgres)
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# DATABASE_URL=postgresql://deerflow:password@localhost:5432/deerflow
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#
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# WECOM_BOT_ID=your-wecom-bot-id
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# WECOM_BOT_SECRET=your-wecom-bot-secret
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# DINGTALK_CLIENT_ID=your-dingtalk-client-id
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# DINGTALK_CLIENT_SECRET=your-dingtalk-client-secret
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# Set to "false" to disable Swagger UI, ReDoc, and OpenAPI schema in production
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# GATEWAY_ENABLE_DOCS=false
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# Shared internal Gateway auth token for multi-worker deployments.
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# `make up` honors a value set here (as it does for BETTER_AUTH_SECRET) and
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# otherwise generates one and persists it under DEER_FLOW_HOME; set it
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# manually when Gateway workers also run outside the bundled deploy script.
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# DEER_FLOW_INTERNAL_AUTH_TOKEN=your-shared-internal-token
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# Provisioner API key for sandbox authentication (required when using provisioner/K8s sandbox mode).
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# The same value must be set on the provisioner container and in config.yaml sandbox.provisioner_api_key.
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# Generate: openssl rand -hex 32
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# PROVISIONER_API_KEY=your-provisioner-api-key
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# ── Frontend SSR → Gateway wiring ─────────────────────────────────────────────
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# The Next.js server uses these to reach the Gateway during SSR (auth checks,
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# /api/* rewrites). They default to localhost values that match `make dev` and
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# `make start`, so most local users do not need to set them.
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#
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# Override only when the Gateway is not on localhost:8001 (e.g. when the
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# frontend and gateway run on different hosts, in containers with a service
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# alias, or behind a different port). docker-compose already sets these.
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# DEER_FLOW_INTERNAL_GATEWAY_BASE_URL=http://localhost:8001
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# DEER_FLOW_TRUSTED_ORIGINS=http://localhost:3000,http://localhost:2026
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# ── Claude Code / Codex CLI subscription as a model provider (optional) ───────
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# If you configure a ClaudeChatModel / Codex model provider (or an ACP agent)
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# that reuses your CLI subscription login, prefer passing a token via env over
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# bind-mounting your whole ~/.claude / ~/.codex into the container. The Gateway
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# credential loader reads these first, so no directory mount is needed.
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# CLAUDE_CODE_CREDENTIALS_PATH points at a single .credentials.json (Claude)
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# rather than the whole dir. docker-compose.cli-auth.yaml is the opt-in
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# directory-mount fallback for adapters that need the full CLI config.
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# ACP adapters often take their own env API key (e.g. ANTHROPIC_API_KEY) and
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# need no mount at all — check the adapter's docs. See SECURITY.md.
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# CLAUDE_CODE_OAUTH_TOKEN=your-claude-code-oauth-token
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# ANTHROPIC_AUTH_TOKEN=your-anthropic-auth-token
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# CLAUDE_CODE_CREDENTIALS_PATH=/path/to/.claude/.credentials.json
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# CODEX_AUTH_PATH=/path/to/codex/auth.json
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