.env.example

# =============================================================================
# OpenClaude Environment Configuration
# =============================================================================
# If you want a file-based workflow, copy this file to .env and fill in your values:
#   cp .env.example .env
#
# OpenClaude does not automatically load .env files to protect you from
# accidental key exposure in untrusted repositories.
#
# To load this file, explicitly pass it to OpenClaude:
#   openclaude --provider-env-file .env
#
# The explicit loader accepts OpenClaude provider/setup variables and rejects
# process-control variables such as PATH, NODE_OPTIONS, and LD_PRELOAD.
# Export shell/runtime/debug variables from your shell or launcher instead.
#
# Only set the variables for the provider you want to use.
# All other sections can be left commented out.
# =============================================================================

# =============================================================================
# SYSTEM-WIDE SETUP (OPTIONAL)
# =============================================================================
# Instead of using a .env file per project, you can set these variables
# system-wide so OpenClaude works from any directory on your machine.
#
# STEP 1: Pick your provider variables from the list below.
# STEP 2: Set them using the method for your OS (see further down).
#
# ── Provider variables ───────────────────────────────────────────────
#
#   Option 1 — Anthropic:
#     ANTHROPIC_API_KEY=sk-ant-your-key-here
#     ANTHROPIC_MODEL=claude-sonnet-4-5              (optional)
#     ANTHROPIC_BASE_URL=https://api.anthropic.com   (optional)
#     ANTHROPIC_AUTH_TOKEN=your-provider-token       (custom Bearer endpoints)
#
#   Option 1b — Custom Anthropic-compatible API (Bearer auth):
#     ANTHROPIC_BASE_URL=https://your-provider.example
#     ANTHROPIC_AUTH_TOKEN=your-provider-token
#     ANTHROPIC_MODEL=your-model-name
#
#   Option 2 — OpenAI:
#     CLAUDE_CODE_USE_OPENAI=1
#     OPENAI_API_KEY=sk-your-key-here
#     OPENAI_MODEL=gpt-4o
#     OPENAI_BASE_URL=https://api.openai.com/v1      (optional)
#
#   Option 11 — NEAR AI (unified gateway: Claude, GPT, Gemini + TEE models):
#     NEARAI_API_KEY=your_key_here
#     OPENAI_MODEL=anthropic/claude-sonnet-4-6        (optional, default)
#
#   Option 3 — Google Gemini:
#     CLAUDE_CODE_USE_GEMINI=1
#     GEMINI_API_KEY=your-gemini-key-here
#     GEMINI_MODEL=gemini-2.0-flash
#     GEMINI_BASE_URL=https://generativelanguage.googleapis.com  (optional)
#
#   Option 4 — GitHub Models:
#     CLAUDE_CODE_USE_GITHUB=1
#     GITHUB_TOKEN=ghp_your-token-here
#
#     -- Copilot Premium Request optimization (default ON for sub-agents) --
#     By default, when using GitHub Copilot, OpenClaude serializes sub-agent
#     execution to reduce Premium Request consumption. Set these to tune:
#
#     GITHUB_COPILOT_MAX_SUBAGENTS=1          Max concurrent sub-agents.
#                                             0 = suppress sub-agents, 1 = force
#                                             sync, 2-10 = parsed/clamped.
#                                             Default: 1.
#     GITHUB_COPILOT_ALLOW_SUBAGENTS=         Set to 1 to re-enable parallel
#                                             background sub-agents
#                                             (overrides the cap).
#     GITHUB_COPILOT_FORCE_SYNC_SUBAGENTS=    Set to 1 to force sync
#                                             execution regardless of cap.
#     GITHUB_COPILOT_OPTIMIZATION_DISABLED=   Set to 1 to disable all
#                                             optimization (sub-agents run
#                                             as before this feature).
#
#   Option 5 — Ollama (local):
#     CLAUDE_CODE_USE_OPENAI=1
#     OPENAI_BASE_URL=http://localhost:11434/v1
#     OPENAI_API_KEY=ollama
#     OPENAI_MODEL=llama3.2
#
#   Option 6 — LM Studio (local):
#     CLAUDE_CODE_USE_OPENAI=1
#     OPENAI_BASE_URL=http://localhost:1234/v1
#     OPENAI_MODEL=your-model-id-here
#     OPENAI_API_KEY=lmstudio                        (optional)
#
#   Option 7 — AWS Bedrock (may also need: aws configure):
#     CLAUDE_CODE_USE_BEDROCK=1
#     AWS_REGION=us-east-1
#     AWS_DEFAULT_REGION=us-east-1
#     AWS_BEARER_TOKEN_BEDROCK=your-bearer-token-here
#     ANTHROPIC_BEDROCK_BASE_URL=https://bedrock-runtime.us-east-1.amazonaws.com
#
#   Option 8 — Google Vertex AI:
#     CLAUDE_CODE_USE_VERTEX=1
#     ANTHROPIC_VERTEX_PROJECT_ID=your-gcp-project-id
#     CLOUD_ML_REGION=us-east5
#     GOOGLE_CLOUD_PROJECT=your-gcp-project-id
#
# ── How to set variables on each OS ──────────────────────────────────
#
# macOS (zsh):
#   1. Open:  nano ~/.zshrc
#   2. Add each variable as:  export VAR_NAME=value
#   3. Save and reload:  source ~/.zshrc
#
# Linux (bash):
#   1. Open:  nano ~/.bashrc
#   2. Add each variable as:  export VAR_NAME=value
#   3. Save and reload:  source ~/.bashrc
#
# Windows (PowerShell):
#   Run for each variable:
#     [System.Environment]::SetEnvironmentVariable('VAR_NAME', 'value', 'User')
#   Then restart your terminal.
#
# Windows (Command Prompt):
#   Run for each variable:
#     setx VAR_NAME value
#   Then restart your terminal.
#
# Windows (GUI):
#   Settings > System > About > Advanced System Settings >
#   Environment Variables > under "User variables" click New,
#   then add each variable.
#
# ── Important notes ──────────────────────────────────────────────────
#
# LOCAL SERVERS: If using LM Studio or Ollama, the server MUST be
# running with a model loaded before you launch OpenClaude —
# otherwise you'll get connection errors.
#
# SWITCHING PROVIDERS: To temporarily switch, unset the relevant
# variables in your current terminal session:
#
#   macOS / Linux:
#     unset VAR_NAME
#     # e.g.: unset CLAUDE_CODE_USE_OPENAI OPENAI_BASE_URL OPENAI_MODEL
#
#   Windows (PowerShell — current session only):
#     Remove-Item Env:VAR_NAME
#
#   To permanently remove a variable on Windows:
#     [System.Environment]::SetEnvironmentVariable('VAR_NAME', $null, 'User')
#
# LOAD ORDER:
#   Shell and system environment variables are inherited by the process.
#   Project .env files are only used if you pass --provider-env-file explicitly, or if
#   your launcher or shell loads them before starting OpenClaude.
# COMPATIBILITY:
#   System-wide variables work regardless of how you run OpenClaude:
#   npx, global npm install, bun run, or node directly. Any process
#   launched from your terminal inherits your shell's environment.
#
# REMINDER: Make sure .env is in your .gitignore to avoid committing secrets.
# =============================================================================

# =============================================================================
# PROVIDER SELECTION — uncomment ONE block below
# =============================================================================

# -----------------------------------------------------------------------------
# Option 1: Anthropic (default — no provider flag needed)
# -----------------------------------------------------------------------------
ANTHROPIC_API_KEY=sk-ant-your-key-here

# Override the default model (optional)
# ANTHROPIC_MODEL=claude-sonnet-4-5

# Use a custom Anthropic-compatible endpoint (optional)
# ANTHROPIC_BASE_URL=https://api.anthropic.com


# -----------------------------------------------------------------------------
# Option 2: OpenAI
# -----------------------------------------------------------------------------
# CLAUDE_CODE_USE_OPENAI=1
# OPENAI_API_KEY=sk-your-key-here
# Optional: rotate across multiple OpenAI-compatible API keys on auth/quota/rate-limit failures.
# OPENAI_API_KEYS=sk-key-a,sk-key-b
# OPENAI_MODEL=gpt-4o
# For DeepSeek, set:
# OPENAI_BASE_URL=https://api.deepseek.com/v1
# OPENAI_MODEL=deepseek-v4-flash
# Optional: OPENAI_MODEL=deepseek-v4-pro
# Legacy aliases also work: deepseek-chat and deepseek-reasoner
# For Z.AI GLM Coding Plan, set:
# OPENAI_BASE_URL=https://api.z.ai/api/coding/paas/v4
# OPENAI_MODEL=glm-5.2
# Optional: OPENAI_MODEL=GLM-5.1, GLM-5-Turbo, GLM-4.7, or GLM-4.5-Air
# Optional GLM-5.2 thinking controls:
# OPENAI_MODEL='glm-5.2?reasoning=high'     # enhanced reasoning
# OPENAI_MODEL='glm-5.2?reasoning=xhigh'    # maps to Z.AI reasoning_effort=max
# OPENAI_MODEL='glm-5.2?thinking=disabled'  # faster direct answers for simple tasks
# For Hicap, use the OpenAI-compatible route flag above and set:
# HICAP_API_KEY=your-hicap-key-here
# OPENAI_BASE_URL=https://api.hicap.ai/v1
# OPENAI_MODEL=claude-opus-4.8
# For AI/ML API, the key alone enables the OpenAI-compatible route:
# AIMLAPI_API_KEY=your-aimlapi-key-here
# OPENAI_BASE_URL=https://api.aimlapi.com/v1
# OPENAI_MODEL=gpt-4o

# Use a custom OpenAI-compatible endpoint (optional — defaults to api.openai.com)
# OPENAI_BASE_URL=https://api.openai.com/v1
# Choose the OpenAI-compatible API surface (optional).
# Supported: chat_completions, responses, responses_compat
# Left unset, GPT-5.4/5.5/5.6 models (mini/nano variants excluded) on
# api.openai.com or Azure OpenAI are auto-routed to responses (they reject
# function tools + reasoning_effort on chat_completions); everything else
# defaults to chat_completions. Set this to override: an explicit
# chat_completions wins over the model auto-detection, but a provider
# catalog's requiredApiFormat still takes precedence over it. GPT-5.6 omits
# reasoning effort on this fallback because chat_completions rejects it with tools.
# OPENAI_API_FORMAT=chat_completions
# Force Azure-style URL and api-key-header handling for
# custom or private Azure endpoints whose hostname would not otherwise match
# (APIM-fronted, private link). Note: this also widens the GPT-5.4/5.5/5.6
# responses auto-route above to ANY base URL — do not set it against gateways
# that lack /v1/responses.
# On Azure, OPENAI_MODEL is your deployment name; if it is not the model id
# (e.g. production-coding), the model-name auto-route cannot recognize it —
# set OPENAI_API_FORMAT=responses explicitly for gpt-5.4/5.5/5.6 deployments.
# OPENAI_AZURE_STYLE=1
# Choose a custom auth header for OpenAI-compatible providers (optional).
# Authorization defaults to Bearer; custom headers default to the raw API key.
# Set OPENAI_AUTH_HEADER_VALUE when the header value differs from OPENAI_API_KEY.
# OPENAI_AUTH_HEADER=api-key
# OPENAI_AUTH_SCHEME=raw
# OPENAI_AUTH_HEADER_VALUE=your-header-value-here

# Fallback context window size (tokens) when the model is not found in
# integration model metadata (default: 128000). Increase this for models with larger
# context windows (e.g. 200000 for Claude-sized contexts).
# CLAUDE_CODE_OPENAI_FALLBACK_CONTEXT_WINDOW=128000

# Per-model context window overrides as a JSON object.
# Takes precedence over integration model metadata, so you can register new or
# custom models without patching source.
# Example: CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS={"my-corp/llm-v3":262144,"gpt-4o-mini":128000}
# CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS=

# Per-model maximum output token overrides as a JSON object.
# Use this alongside CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS when your model
# supports a different output limit than what integration metadata specifies.
# Example: CLAUDE_CODE_OPENAI_MAX_OUTPUT_TOKENS={"my-corp/llm-v3":8192}
# CLAUDE_CODE_OPENAI_MAX_OUTPUT_TOKENS=


# -----------------------------------------------------------------------------
# Option 3: Google Gemini
# -----------------------------------------------------------------------------
# CLAUDE_CODE_USE_GEMINI=1
# GEMINI_API_KEY=your-gemini-key-here
# GEMINI_MODEL=gemini-2.0-flash

# Use a custom Gemini endpoint (optional)
# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai


# -----------------------------------------------------------------------------
# Option 4: GitHub Models
# -----------------------------------------------------------------------------
# CLAUDE_CODE_USE_GITHUB=1
# GITHUB_TOKEN=ghp_your-token-here


# -----------------------------------------------------------------------------
# Option 5: Ollama (local models)
# -----------------------------------------------------------------------------
# CLAUDE_CODE_USE_OPENAI=1
# OPENAI_BASE_URL=http://localhost:11434/v1
# OPENAI_API_KEY=ollama
# OPENAI_MODEL=llama3.2
# OPENCLAUDE_OLLAMA_NUM_CTX=32768              — request-level Ollama context window

# -----------------------------------------------------------------------------
# Option 6: LM Studio (local models)
# -----------------------------------------------------------------------------
# LM Studio exposes an OpenAI-compatible API, so we use the OpenAI provider.
# Make sure LM Studio is running with the Developer server enabled
# (Developer tab > toggle server ON).
#
# Steps:
#   1. Download and install LM Studio from https://lmstudio.ai
#   2. Search for and download a model (e.g. any coding or instruct model)
#   3. Load the model and start the Developer server
#   4. Set OPENAI_MODEL to the model ID shown in LM Studio's Developer tab
#
# The default server URL is http://localhost:1234 — change the port below
# if you've configured a different one in LM Studio.
#
# OPENAI_API_KEY is optional — LM Studio runs locally and ignores it.
# Some clients require a non-empty value; if you get auth errors, set it
# to any dummy value (e.g. "lmstudio").
#
# CLAUDE_CODE_USE_OPENAI=1
# OPENAI_BASE_URL=http://localhost:1234/v1
# OPENAI_MODEL=your-model-id-here


# -----------------------------------------------------------------------------
# Option 7: AWS Bedrock
# -----------------------------------------------------------------------------

# You may also need AWS CLI credentials configured (run: aws configure)
# or have AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY set in your
# environment in addition to the variables below.
#
# CLAUDE_CODE_USE_BEDROCK=1
# AWS_REGION=us-east-1
# AWS_DEFAULT_REGION=us-east-1
# AWS_BEARER_TOKEN_BEDROCK=your-bearer-token-here
# ANTHROPIC_BEDROCK_BASE_URL=https://bedrock-runtime.us-east-1.amazonaws.com


# -----------------------------------------------------------------------------
# Option 8: Google Vertex AI
# -----------------------------------------------------------------------------
# CLAUDE_CODE_USE_VERTEX=1
# ANTHROPIC_VERTEX_PROJECT_ID=your-gcp-project-id
# CLOUD_ML_REGION=us-east5
# GOOGLE_CLOUD_PROJECT=your-gcp-project-id


# -----------------------------------------------------------------------------
# Option 9: NVIDIA NIM
# -----------------------------------------------------------------------------
# NVIDIA NIM provides hosted inference endpoints for NVIDIA models.
# Get your API key from https://build.nvidia.com/
#
# CLAUDE_CODE_USE_OPENAI=1
# NVIDIA_API_KEY=nvapi-your-key-here
# OPENAI_BASE_URL=https://integrate.api.nvidia.com/v1
# OPENAI_MODEL=nvidia/llama-3.1-nemotron-70b-instruct


# -----------------------------------------------------------------------------
# Option 10: MiniMax
# -----------------------------------------------------------------------------
# MiniMax API provides text generation models.
# Get your API key from https://platform.minimax.io/
#
# MINIMAX_API_KEY=your-minimax-key-here
# ANTHROPIC_BASE_URL=https://api.minimax.io/anthropic
# ANTHROPIC_MODEL=MiniMax-M2.7


# -----------------------------------------------------------------------------
# Option 11: NEAR AI
# -----------------------------------------------------------------------------
# NEAR AI is a unified OpenAI-compatible gateway to Claude, GPT, Gemini,
# and TEE-hosted open models — all under one API key.
# Get your API key from https://cloud.near.ai/dashboard/organizations
#
# NEARAI_API_KEY=your-nearai-key-here
# OPENAI_BASE_URL=https://cloud-api.near.ai/v1       (optional, default)
# OPENAI_MODEL=anthropic/claude-sonnet-4-6            (optional, default)
#
# For direct TEE completions (lower latency + verifiable privacy):
#   OPENAI_BASE_URL=https://qwen35-122b.completions.near.ai/v1


# -----------------------------------------------------------------------------
# Option 12: Fireworks AI
# -----------------------------------------------------------------------------
# Fireworks AI provides a fully OpenAI-compatible endpoint.
# Get your API key from https://fireworks.ai/
# Model IDs use the full path format: accounts/fireworks/models/<model-name>
#
#   CLAUDE_CODE_USE_OPENAI=1
#   FIREWORKS_API_KEY=fw_your_key_here
#   OPENAI_BASE_URL=https://api.fireworks.ai/inference/v1
#   OPENAI_MODEL=accounts/fireworks/models/llama-v3p1-70b-instruct


# -----------------------------------------------------------------------------
# Option 13: LongCat
# -----------------------------------------------------------------------------
# LongCat is Meituan's OpenAI-compatible API for LongCat-2.0.
# Get your API key from https://longcat.chat/platform/api_keys
# Docs: https://longcat.chat/platform/docs/
#
#   CLAUDE_CODE_USE_OPENAI=1
#   LONGCAT_API_KEY=your-longcat-key-here
#   OPENAI_BASE_URL=https://api.longcat.chat/openai/v1
#   OPENAI_MODEL=LongCat-2.0
#
# Or run: openclaude --provider longcat
# Or configure interactively with /provider


# -----------------------------------------------------------------------------
# Option 14: ClinePass
# -----------------------------------------------------------------------------
# ClinePass is an AI model gateway with usage limits (5hr, weekly, monthly).
# Get your API key from https://app.cline.bot/dashboard/subscription?personal=true
# Models include DeepSeek, Qwen, GLM, Kimi, MiMo, and MiniMax.
#
#   CLINE_API_KEY=your-cline-api-key-here
#   CLINE_API_MODEL=cline-pass/deepseek-v4-flash   (optional, default)
#
# Usage limits are displayed via /usage command.

# =============================================================================
# OPTIONAL TUNING
# =============================================================================

# Max number of API retries on failure (default: 10, cap: 100)
# Set to 0 to disable retries after the initial request
# Deprecated fallback when OPENCLAUDE_MAX_RETRIES is unset: CLAUDE_CODE_MAX_RETRIES
# OPENCLAUDE_MAX_RETRIES=10

# Base retry delay in milliseconds when the API does not send Retry-After
# Uses exponential backoff from this value with jitter (default: 500, cap: 60000)
# OPENCLAUDE_RETRY_DELAY_MS=500

# Enable persistent retry mode for unattended/CI sessions
# Retries 429/529 indefinitely with smart backoff
# CLAUDE_CODE_UNATTENDED_RETRY=1

# Enable extended key reporting (Kitty keyboard protocol)
# Useful for iTerm2, WezTerm, Ghostty if modifier keys feel off
# OPENCLAUDE_ENABLE_EXTENDED_KEYS=1

# Disable "Co-authored-by" line in git commits made by OpenClaude
# OPENCLAUDE_DISABLE_CO_AUTHORED_BY=1

# Disable strict tool schema normalization for non-Gemini providers
# Useful when MCP tools with complex optional params (e.g. list[dict])
# trigger "Extra required key ... supplied" errors from OpenAI-compatible endpoints
# OPENCLAUDE_DISABLE_STRICT_TOOLS=1

# Disable hidden <system-reminder> messages injected into tool output
# Suppresses the file-read cyber-risk reminder and the todo/task tool nudges
# Useful for users who want full transparency over what the model sees
# OPENCLAUDE_DISABLE_TOOL_REMINDERS=1

# Log structured per-request token usage (including cache metrics) to stderr.
# Useful for auditing cache hit rate / debugging cost spikes outside the REPL.
# Any truthy value enables it ("verbose", "1", "true").
#
# Complements (does NOT replace) CLAUDE_CODE_ENABLE_TOKEN_USAGE_ATTACHMENT —
# they serve different audiences:
#   - OPENCLAUDE_LOG_TOKEN_USAGE is user-facing: one JSON line per API
#     request on stderr, intended for humans inspecting cost/caching.
#   - CLAUDE_CODE_ENABLE_TOKEN_USAGE_ATTACHMENT is model-facing: injects
#     a context-usage attachment INTO the prompt so the model can reason
#     about its own remaining context. Does not touch stderr.
# Turn on whichever audience you're debugging; both can run together.
# OPENCLAUDE_LOG_TOKEN_USAGE=verbose

# Time-to-response-headers deadline for OpenAI-compatible API requests
# in milliseconds (default: 600000, or 10 minutes). Use a safe positive
# integer; invalid values use the default and values above 2147483647 are capped.
# This runtime setting must be exported from your shell or launcher; the
# provider env-file loader intentionally ignores runtime/debug knobs.
# This covers generic OpenAI-compatible requests, direct GitHub Copilot
# Responses, and Copilot chat-to-Responses fallback requests. First-party
# Codex OAuth Responses and the Anthropic SDK retain their existing handling.
# API_TIMEOUT_MS=600000

# Enable debug logging
# CLAUDE_DEBUG=1


# =============================================================================
# WEB SEARCH (OPTIONAL)
# =============================================================================
# OpenClaude includes a web search tool. By default it uses DuckDuckGo (free)
# or the provider's native search (Anthropic firstParty / vertex).
#
# Set one API key below to enable a provider. That's it.

# ── Provider API keys — set ONE of these ────────────────────────────

# Tavily (AI-optimized search, recommended)
# TAVILY_API_KEY=tvly-your-key-here

# Exa (neural/semantic search)
# EXA_API_KEY=your-exa-key-here

# You.com (RAG-ready snippets)
# YOU_API_KEY=your-you-key-here

# Jina (s.jina.ai endpoint)
# JINA_API_KEY=your-jina-key-here

# Brave (independent web index, generous free tier)
# BRAVE_API_KEY=your-brave-key-here

# Bing Web Search
# BING_API_KEY=your-bing-key-here

# Mojeek (privacy-focused)
# MOJEEK_API_KEY=your-mojeek-key-here

# Linkup
# LINKUP_API_KEY=your-linkup-key-here

# Firecrawl (premium, uses @mendable/firecrawl-js)
# FIRECRAWL_API_KEY=fc-your-key-here

# Self-hosted Firecrawl endpoint (optional — omit to use cloud API)
# FIRECRAWL_API_URL=https://your-firecrawl-instance.com

# ── Provider selection mode ─────────────────────────────────────────
#
# WEB_SEARCH_PROVIDER controls fallback behavior:
#
#   "auto"      (default) — try all configured providers, fall through on failure
#   "custom"    — custom API only, throw on failure (NOT in auto chain)
#   "firecrawl" — firecrawl only
#   "tavily"    — tavily only
#   "exa"       — exa only
#   "you"       — you.com only
#   "jina"      — jina only
#   "brave"     — brave only
#   "bing"      — bing only
#   "mojeek"    — mojeek only
#   "linkup"    — linkup only
#   "ddg"       — duckduckgo only
#   "native"    — anthropic native / codex only
#
# Auto mode priority: firecrawl → tavily → exa → you → jina → brave → bing →
#                     mojeek → linkup → ddg
# Note: "custom" is NOT in the auto chain. To use the custom API provider,
# you must explicitly set WEB_SEARCH_PROVIDER=custom.
#
# WEB_SEARCH_PROVIDER=auto
# WEB_SEARCH_TIMEOUT_SEC=15                  — built-in search provider timeout in seconds (default 15)

# ── Built-in custom API presets ─────────────────────────────────────
#
# Use with WEB_KEY for the API key:
# WEB_PROVIDER=searxng|google|brave|serpapi
# WEB_KEY=your-api-key-here
#
# Google Custom Search additionally requires the Programmable Search Engine ID:
# WEB_PROVIDER=google
# WEB_KEY=your-google-api-key
# GOOGLE_CSE_ID=your-programmable-search-engine-id
#
# Note: Google's Custom Search JSON API is closed to new customers and is
# scheduled for sunset on 2027-01-01. Prefer BRAVE_API_KEY / TAVILY_API_KEY
# / EXA_API_KEY for new setups.

# ── Custom API endpoint (advanced) ──────────────────────────────────
#
# WEB_SEARCH_API    — base URL of your search endpoint
# WEB_QUERY_PARAM         — query parameter name (default: "q")
# WEB_METHOD        — GET or POST (default: GET)
# WEB_PARAMS        — extra static query params as JSON: {"lang":"en","count":"10"}
# WEB_URL_TEMPLATE  — URL template with {query} for path embedding
# WEB_BODY_TEMPLATE — custom POST body with {query} placeholder
# WEB_AUTH_HEADER   — header name for API key (default: "Authorization")
# WEB_AUTH_SCHEME   — prefix before key (default: "Bearer")
# WEB_HEADERS       — extra headers as "Name: value; Name2: value2"
# WEB_JSON_PATH     — dot-path to results array in response

# ── Custom API security guardrails ──────────────────────────────────
#
# The custom provider enforces security guardrails by default.
# Override these only if you understand the risks.
#
# WEB_CUSTOM_TIMEOUT_SEC=120                 — request timeout in seconds (default 120)
# WEB_CUSTOM_MAX_BODY_KB=300                 — max POST body size in KB (default 300)
# WEB_CUSTOM_ALLOW_ARBITRARY_HEADERS=false   — set "true" to use non-standard headers
# WEB_CUSTOM_ALLOW_HTTP=false                — set "true" to allow http:// URLs
# WEB_CUSTOM_ALLOW_PRIVATE=false             — set "true" to target localhost/private IPs
#                                               (needed for self-hosted SearXNG)

# ── Config directory override ───────────────────────────────────────
#
# By default openclaude stores per-user state under ~/.openclaude
# (and falls back to ~/.claude for installs that pre-date the rename).
# Set this to point openclaude at a different directory — useful for
# isolating profiles or sharing config across machines.
#
# OPENCLAUDE_CONFIG_DIR=/path/to/dir         — preferred name
# CLAUDE_CONFIG_DIR=/path/to/dir             — legacy alias (still works)
#
# When both are set with different values, OPENCLAUDE_CONFIG_DIR wins
# and a warning is logged once per process.