ff2a380723
* Add DeepSeek V4 support and thinking compatibility * Fix DeepSeek profile persistence regression * Align multi-model handling with openai-multi-model
397 lines
16 KiB
Plaintext
397 lines
16 KiB
Plaintext
# =============================================================================
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# OpenClaude Environment Configuration
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# =============================================================================
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# Copy this file to .env and fill in your values:
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# cp .env.example .env
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#
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# Only set the variables for the provider you want to use.
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# All other sections can be left commented out.
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# =============================================================================
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# =============================================================================
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# SYSTEM-WIDE SETUP (OPTIONAL)
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# =============================================================================
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# Instead of using a .env file per project, you can set these variables
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# system-wide so OpenClaude works from any directory on your machine.
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#
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# STEP 1: Pick your provider variables from the list below.
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# STEP 2: Set them using the method for your OS (see further down).
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#
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# ── Provider variables ───────────────────────────────────────────────
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#
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# Option 1 — Anthropic:
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# ANTHROPIC_API_KEY=sk-ant-your-key-here
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# ANTHROPIC_MODEL=claude-sonnet-4-5 (optional)
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# ANTHROPIC_BASE_URL=https://api.anthropic.com (optional)
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#
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# Option 2 — OpenAI:
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# CLAUDE_CODE_USE_OPENAI=1
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# OPENAI_API_KEY=sk-your-key-here
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# OPENAI_MODEL=gpt-4o
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# OPENAI_BASE_URL=https://api.openai.com/v1 (optional)
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#
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# Option 3 — Google Gemini:
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# CLAUDE_CODE_USE_GEMINI=1
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# GEMINI_API_KEY=your-gemini-key-here
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# GEMINI_MODEL=gemini-2.0-flash
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# GEMINI_BASE_URL=https://generativelanguage.googleapis.com (optional)
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#
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# Option 4 — GitHub Models:
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# CLAUDE_CODE_USE_GITHUB=1
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# GITHUB_TOKEN=ghp_your-token-here
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#
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# Option 5 — Ollama (local):
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# CLAUDE_CODE_USE_OPENAI=1
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# OPENAI_BASE_URL=http://localhost:11434/v1
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# OPENAI_API_KEY=ollama
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# OPENAI_MODEL=llama3.2
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#
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# Option 6 — LM Studio (local):
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# CLAUDE_CODE_USE_OPENAI=1
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# OPENAI_BASE_URL=http://localhost:1234/v1
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# OPENAI_MODEL=your-model-id-here
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# OPENAI_API_KEY=lmstudio (optional)
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#
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# Option 7 — AWS Bedrock (may also need: aws configure):
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# CLAUDE_CODE_USE_BEDROCK=1
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# AWS_REGION=us-east-1
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# AWS_DEFAULT_REGION=us-east-1
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# AWS_BEARER_TOKEN_BEDROCK=your-bearer-token-here
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# ANTHROPIC_BEDROCK_BASE_URL=https://bedrock-runtime.us-east-1.amazonaws.com
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#
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# Option 8 — Google Vertex AI:
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# CLAUDE_CODE_USE_VERTEX=1
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# ANTHROPIC_VERTEX_PROJECT_ID=your-gcp-project-id
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# CLOUD_ML_REGION=us-east5
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# GOOGLE_CLOUD_PROJECT=your-gcp-project-id
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#
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# ── How to set variables on each OS ──────────────────────────────────
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#
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# macOS (zsh):
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# 1. Open: nano ~/.zshrc
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# 2. Add each variable as: export VAR_NAME=value
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# 3. Save and reload: source ~/.zshrc
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#
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# Linux (bash):
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# 1. Open: nano ~/.bashrc
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# 2. Add each variable as: export VAR_NAME=value
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# 3. Save and reload: source ~/.bashrc
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#
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# Windows (PowerShell):
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# Run for each variable:
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# [System.Environment]::SetEnvironmentVariable('VAR_NAME', 'value', 'User')
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# Then restart your terminal.
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#
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# Windows (Command Prompt):
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# Run for each variable:
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# setx VAR_NAME value
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# Then restart your terminal.
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#
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# Windows (GUI):
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# Settings > System > About > Advanced System Settings >
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# Environment Variables > under "User variables" click New,
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# then add each variable.
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#
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# ── Important notes ──────────────────────────────────────────────────
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#
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# LOCAL SERVERS: If using LM Studio or Ollama, the server MUST be
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# running with a model loaded before you launch OpenClaude —
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# otherwise you'll get connection errors.
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#
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# SWITCHING PROVIDERS: To temporarily switch, unset the relevant
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# variables in your current terminal session:
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#
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# macOS / Linux:
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# unset VAR_NAME
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# # e.g.: unset CLAUDE_CODE_USE_OPENAI OPENAI_BASE_URL OPENAI_MODEL
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#
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# Windows (PowerShell — current session only):
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# Remove-Item Env:VAR_NAME
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#
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# To permanently remove a variable on Windows:
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# [System.Environment]::SetEnvironmentVariable('VAR_NAME', $null, 'User')
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#
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# LOAD ORDER:
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# Shell and system environment variables are inherited by the process.
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# Project .env files are only used if your launcher or shell loads them
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# before starting OpenClaude.
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# COMPATIBILITY:
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# System-wide variables work regardless of how you run OpenClaude:
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# npx, global npm install, bun run, or node directly. Any process
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# launched from your terminal inherits your shell's environment.
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#
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# REMINDER: Make sure .env is in your .gitignore to avoid committing secrets.
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# =============================================================================
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# =============================================================================
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# PROVIDER SELECTION — uncomment ONE block below
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# =============================================================================
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# -----------------------------------------------------------------------------
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# Option 1: Anthropic (default — no provider flag needed)
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# -----------------------------------------------------------------------------
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ANTHROPIC_API_KEY=sk-ant-your-key-here
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# Override the default model (optional)
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# ANTHROPIC_MODEL=claude-sonnet-4-5
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# Use a custom Anthropic-compatible endpoint (optional)
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# ANTHROPIC_BASE_URL=https://api.anthropic.com
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# -----------------------------------------------------------------------------
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# Option 2: OpenAI
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# -----------------------------------------------------------------------------
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# CLAUDE_CODE_USE_OPENAI=1
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# OPENAI_API_KEY=sk-your-key-here
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# OPENAI_MODEL=gpt-4o
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# For DeepSeek, set:
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# OPENAI_BASE_URL=https://api.deepseek.com/v1
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# OPENAI_MODEL=deepseek-v4-flash
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# Optional: OPENAI_MODEL=deepseek-v4-pro
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# Legacy aliases also work: deepseek-chat and deepseek-reasoner
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# Use a custom OpenAI-compatible endpoint (optional — defaults to api.openai.com)
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# OPENAI_BASE_URL=https://api.openai.com/v1
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# Fallback context window size (tokens) when the model is not found in the
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# built-in table (default: 128000). Increase this for models with larger
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# context windows (e.g. 200000 for Claude-sized contexts).
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# CLAUDE_CODE_OPENAI_FALLBACK_CONTEXT_WINDOW=128000
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# Per-model context window overrides as a JSON object.
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# Takes precedence over the built-in table, so you can register new or
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# custom models without patching source.
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# Example: CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS={"my-corp/llm-v3":262144,"gpt-4o-mini":128000}
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# CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS=
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# Per-model maximum output token overrides as a JSON object.
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# Use this alongside CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS when your model
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# supports a different output limit than what the built-in table specifies.
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# Example: CLAUDE_CODE_OPENAI_MAX_OUTPUT_TOKENS={"my-corp/llm-v3":8192}
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# CLAUDE_CODE_OPENAI_MAX_OUTPUT_TOKENS=
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# -----------------------------------------------------------------------------
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# Option 3: Google Gemini
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# -----------------------------------------------------------------------------
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# CLAUDE_CODE_USE_GEMINI=1
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# GEMINI_API_KEY=your-gemini-key-here
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# GEMINI_MODEL=gemini-2.0-flash
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# Use a custom Gemini endpoint (optional)
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# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
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# -----------------------------------------------------------------------------
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# Option 4: GitHub Models
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# -----------------------------------------------------------------------------
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# CLAUDE_CODE_USE_GITHUB=1
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# GITHUB_TOKEN=ghp_your-token-here
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# -----------------------------------------------------------------------------
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# Option 5: Ollama (local models)
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# -----------------------------------------------------------------------------
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# CLAUDE_CODE_USE_OPENAI=1
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# OPENAI_BASE_URL=http://localhost:11434/v1
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# OPENAI_API_KEY=ollama
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# OPENAI_MODEL=llama3.2
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# -----------------------------------------------------------------------------
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# Option 6: LM Studio (local models)
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# -----------------------------------------------------------------------------
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# LM Studio exposes an OpenAI-compatible API, so we use the OpenAI provider.
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# Make sure LM Studio is running with the Developer server enabled
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# (Developer tab > toggle server ON).
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#
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# Steps:
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# 1. Download and install LM Studio from https://lmstudio.ai
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# 2. Search for and download a model (e.g. any coding or instruct model)
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# 3. Load the model and start the Developer server
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# 4. Set OPENAI_MODEL to the model ID shown in LM Studio's Developer tab
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#
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# The default server URL is http://localhost:1234 — change the port below
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# if you've configured a different one in LM Studio.
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#
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# OPENAI_API_KEY is optional — LM Studio runs locally and ignores it.
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# Some clients require a non-empty value; if you get auth errors, set it
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# to any dummy value (e.g. "lmstudio").
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#
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# CLAUDE_CODE_USE_OPENAI=1
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# OPENAI_BASE_URL=http://localhost:1234/v1
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# OPENAI_MODEL=your-model-id-here
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# -----------------------------------------------------------------------------
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# Option 7: AWS Bedrock
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# -----------------------------------------------------------------------------
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# You may also need AWS CLI credentials configured (run: aws configure)
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# or have AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY set in your
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# environment in addition to the variables below.
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#
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# CLAUDE_CODE_USE_BEDROCK=1
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# AWS_REGION=us-east-1
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# AWS_DEFAULT_REGION=us-east-1
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# AWS_BEARER_TOKEN_BEDROCK=your-bearer-token-here
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# ANTHROPIC_BEDROCK_BASE_URL=https://bedrock-runtime.us-east-1.amazonaws.com
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# -----------------------------------------------------------------------------
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# Option 8: Google Vertex AI
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# -----------------------------------------------------------------------------
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# CLAUDE_CODE_USE_VERTEX=1
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# ANTHROPIC_VERTEX_PROJECT_ID=your-gcp-project-id
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# CLOUD_ML_REGION=us-east5
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# GOOGLE_CLOUD_PROJECT=your-gcp-project-id
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# -----------------------------------------------------------------------------
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# Option 9: NVIDIA NIM
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# -----------------------------------------------------------------------------
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# NVIDIA NIM provides hosted inference endpoints for NVIDIA models.
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# Get your API key from https://build.nvidia.com/
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#
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# CLAUDE_CODE_USE_OPENAI=1
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# NVIDIA_API_KEY=nvapi-your-key-here
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# OPENAI_BASE_URL=https://integrate.api.nvidia.com/v1
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# OPENAI_MODEL=nvidia/llama-3.1-nemotron-70b-instruct
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# -----------------------------------------------------------------------------
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# Option 10: MiniMax
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# -----------------------------------------------------------------------------
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# MiniMax API provides text generation models.
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# Get your API key from https://platform.minimax.io/
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#
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# CLAUDE_CODE_USE_OPENAI=1
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# MINIMAX_API_KEY=your-minimax-key-here
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# OPENAI_BASE_URL=https://api.minimax.io/v1
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# OPENAI_MODEL=MiniMax-M2.5
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# =============================================================================
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# OPTIONAL TUNING
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# =============================================================================
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# Max number of API retries on failure (default: 10)
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# CLAUDE_CODE_MAX_RETRIES=10
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# Enable persistent retry mode for unattended/CI sessions
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# Retries 429/529 indefinitely with smart backoff
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# CLAUDE_CODE_UNATTENDED_RETRY=1
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# Enable extended key reporting (Kitty keyboard protocol)
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# Useful for iTerm2, WezTerm, Ghostty if modifier keys feel off
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# OPENCLAUDE_ENABLE_EXTENDED_KEYS=1
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# Disable "Co-authored-by" line in git commits made by OpenClaude
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# OPENCLAUDE_DISABLE_CO_AUTHORED_BY=1
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# Disable strict tool schema normalization for non-Gemini providers
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# Useful when MCP tools with complex optional params (e.g. list[dict])
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# trigger "Extra required key ... supplied" errors from OpenAI-compatible endpoints
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# OPENCLAUDE_DISABLE_STRICT_TOOLS=1
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# Disable hidden <system-reminder> messages injected into tool output
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# Suppresses the file-read cyber-risk reminder and the todo/task tool nudges
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# Useful for users who want full transparency over what the model sees
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# OPENCLAUDE_DISABLE_TOOL_REMINDERS=1
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# Custom timeout for API requests in milliseconds (default: varies)
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# API_TIMEOUT_MS=60000
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# Enable debug logging
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# CLAUDE_DEBUG=1
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# =============================================================================
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# WEB SEARCH (OPTIONAL)
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# =============================================================================
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# OpenClaude includes a web search tool. By default it uses DuckDuckGo (free)
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# or the provider's native search (Anthropic firstParty / vertex).
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#
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# Set one API key below to enable a provider. That's it.
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# ── Provider API keys — set ONE of these ────────────────────────────
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# Tavily (AI-optimized search, recommended)
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# TAVILY_API_KEY=tvly-your-key-here
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# Exa (neural/semantic search)
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# EXA_API_KEY=your-exa-key-here
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# You.com (RAG-ready snippets)
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# YOU_API_KEY=your-you-key-here
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# Jina (s.jina.ai endpoint)
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# JINA_API_KEY=your-jina-key-here
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# Bing Web Search
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# BING_API_KEY=your-bing-key-here
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# Mojeek (privacy-focused)
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# MOJEEK_API_KEY=your-mojeek-key-here
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# Linkup
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# LINKUP_API_KEY=your-linkup-key-here
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# Firecrawl (premium, uses @mendable/firecrawl-js)
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# FIRECRAWL_API_KEY=fc-your-key-here
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# ── Provider selection mode ─────────────────────────────────────────
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#
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# WEB_SEARCH_PROVIDER controls fallback behavior:
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#
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# "auto" (default) — try all configured providers, fall through on failure
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# "custom" — custom API only, throw on failure (NOT in auto chain)
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# "firecrawl" — firecrawl only
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# "tavily" — tavily only
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# "exa" — exa only
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# "you" — you.com only
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# "jina" — jina only
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# "bing" — bing only
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# "mojeek" — mojeek only
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# "linkup" — linkup only
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# "ddg" — duckduckgo only
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# "native" — anthropic native / codex only
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#
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# Auto mode priority: firecrawl → tavily → exa → you → jina → bing → mojeek →
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# linkup → ddg
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# Note: "custom" is NOT in the auto chain. To use the custom API provider,
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# you must explicitly set WEB_SEARCH_PROVIDER=custom.
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#
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# WEB_SEARCH_PROVIDER=auto
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# ── Built-in custom API presets ─────────────────────────────────────
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#
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# Use with WEB_KEY for the API key:
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# WEB_PROVIDER=searxng|google|brave|serpapi
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# WEB_KEY=your-api-key-here
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# ── Custom API endpoint (advanced) ──────────────────────────────────
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#
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# WEB_SEARCH_API — base URL of your search endpoint
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# WEB_QUERY_PARAM — query parameter name (default: "q")
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# WEB_METHOD — GET or POST (default: GET)
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# WEB_PARAMS — extra static query params as JSON: {"lang":"en","count":"10"}
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# WEB_URL_TEMPLATE — URL template with {query} for path embedding
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# WEB_BODY_TEMPLATE — custom POST body with {query} placeholder
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# WEB_AUTH_HEADER — header name for API key (default: "Authorization")
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# WEB_AUTH_SCHEME — prefix before key (default: "Bearer")
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# WEB_HEADERS — extra headers as "Name: value; Name2: value2"
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# WEB_JSON_PATH — dot-path to results array in response
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# ── Custom API security guardrails ──────────────────────────────────
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#
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# The custom provider enforces security guardrails by default.
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# Override these only if you understand the risks.
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#
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# WEB_CUSTOM_TIMEOUT_SEC=15 — request timeout in seconds (default 15)
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# WEB_CUSTOM_MAX_BODY_KB=300 — max POST body size in KB (default 300)
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# WEB_CUSTOM_ALLOW_ARBITRARY_HEADERS=false — set "true" to use non-standard headers
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# WEB_CUSTOM_ALLOW_HTTP=false — set "true" to allow http:// URLs
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# WEB_CUSTOM_ALLOW_PRIVATE=false — set "true" to target localhost/private IPs
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# (needed for self-hosted SearXNG)
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