.env.example

ENV=dev                                                         # options: dev|stg|prd

# Active LLM provider.  Selects which provider answers credentials,
# metadata, and default-model lookups.  Leave unset to default to nv_build.
# Options: openai | anthropic | anthropic_proxy | bedrock | nv_build |
#          ollama | azure_openai | openai_compatible | claude_cli |
#          codex_cli | gemini_cli | opencode_cli
SKILLSPECTOR_PROVIDER=

# Aggregate deadline for one complete scan workflow. Defaults to 600 seconds;
# override this positive finite value when a different limit is required.
# SKILLSPECTOR_MAX_WORKFLOW_SECONDS=600

# Static analysis per artifact defaults to 300 seconds, capped by the remaining
# workflow time. Set a positive finite value before starting the process.
# SKILLSPECTOR_MAX_STATIC_ANALYSIS_SECONDS_PER_ARTIFACT=300

# Provider credentials — set the one matching SKILLSPECTOR_PROVIDER (or
# leave SKILLSPECTOR_PROVIDER unset and set NVIDIA_INFERENCE_KEY for the
# default nv_build path).

# For SKILLSPECTOR_PROVIDER=nv_build (and the default).
NVIDIA_INFERENCE_KEY=

# For SKILLSPECTOR_PROVIDER=openai.  Point OPENAI_BASE_URL at any
# OpenAI-compatible endpoint (Ollama, vLLM, another inference gateway,
# etc.); leave unset for stock api.openai.com.
OPENAI_API_KEY=
OPENAI_BASE_URL=
# Optional provider- and model-dependent reasoning-effort setting. Non-empty values
# are trimmed and passed through unchanged; unset or blank uses the provider default.
SKILLSPECTOR_REASONING_EFFORT=
# Optional language for human-readable LLM finding text. Machine-readable values
# such as rule IDs and severity values remain unchanged.
SKILLSPECTOR_OUTPUT_LANGUAGE=
# Optional sampling controls. Temperature is supported by hosted providers;
# seed is forwarded only to OpenAI-compatible and Azure OpenAI endpoints.
# Unset or blank values preserve provider defaults.
SKILLSPECTOR_TEMPERATURE=                                    # range: 0..1
SKILLSPECTOR_SEED=                                           # integer

# For SKILLSPECTOR_PROVIDER=anthropic.
ANTHROPIC_API_KEY=

# For SKILLSPECTOR_PROVIDER=anthropic_proxy (Vertex-style raw-predict proxy).
# Supports corporate API gateways, GCP Vertex AI, and self-hosted proxies.
ANTHROPIC_PROXY_ENDPOINT_URL=
ANTHROPIC_PROXY_API_KEY=
# ANTHROPIC_PROXY_API_VERSION=vertex-2023-10-16                 # optional; defaults to vertex-2023-10-16
# SKILLSPECTOR_SSL_VERIFY=false                                 # set to false for internal/self-signed CAs

# For SKILLSPECTOR_PROVIDER=bedrock. AWS_PROFILE is optional; when unset,
# boto3 uses its standard credential chain. AWS_REGION defaults to us-west-2.
# AWS_PROFILE=
# AWS_REGION=us-west-2

# For SKILLSPECTOR_PROVIDER=ollama. No API key is required.
# OLLAMA_BASE_URL=http://localhost:11434/v1                     # optional; shown default

# For SKILLSPECTOR_PROVIDER=azure_openai.
AZURE_OPENAI_API_KEY=
AZURE_OPENAI_ENDPOINT=
# AZURE_OPENAI_DEPLOYMENT=                                      # optional; defaults to the model label
# AZURE_OPENAI_API_VERSION=2024-06-01                           # optional; shown default

# For SKILLSPECTOR_PROVIDER=openai_compatible.
SKILLSPECTOR_COMPAT_API_KEY=
SKILLSPECTOR_COMPAT_BASE_URL=

# claude_cli, codex_cli, gemini_cli, and opencode_cli use their CLI's existing local
# authentication session and do not need an API key here.

# SkillSpector config
SKILLSPECTOR_MODEL=                                             # leave empty to use the active provider's bundled default (see README); set to override (e.g. gpt-5.2)
# SKILLSPECTOR_MODEL_REGISTRY=./model_registry.yaml             # optional override; defaults to each provider's bundled YAML in src/skillspector/providers/
SKILLSPECTOR_LOG_LEVEL=WARNING                                  # options: DEBUG|INFO|WARNING|ERROR

# langchain/langsmith config (all optional)
LANGCHAIN_TRACING_V2=false
LANGCHAIN_API_KEY=
LANGCHAIN_WORKSPACE=
LANGCHAIN_PROJECT=
LANGCHAIN_ENDPOINT=