config.yaml.example

model: gpt-5.4                   # LLM model (any LiteLLM-supported provider)
language: en                     # Wiki output language
pageindex_threshold: 20          # PDF pages threshold for PageIndex

# Optional: cap concurrent LLM calls during ingest (PageIndex indexing and
# concept/entity compilation — they never overlap, so one setting covers
# both). Lower it if you hit provider rate limits or "too many open files" on
# large PDFs. Omit to let each stage apply its own default.
# concurrency: 5

# Optional: whether the LLM agents (query, chat, lint, skill) may call tools
# in parallel. Leave it UNSET (commented out) to keep OpenKB's per-agent
# defaults. Setting it applies the SAME value to every agent:
#   true    allow parallel tool calls
#   false   force sequential tool calls
#   null    don't send the setting at all (use the provider default) — REQUIRED
#           for Amazon Bedrock Claude, which rejects the request when
#           parallel_tool_calls is sent at all (any value). See #175.
# parallel_tool_calls: null

# Optional: override the entity-type vocabulary used for entity pages.
# Omit this key to use the default 7 types
# (person, organization, place, product, work, event, other).
# entity_types:
#   - person
#   - organization
#   - dataset
#   - model

# Optional: LLM / LiteLLM tuning. Keys are forwarded to LiteLLM; `timeout` and
# `extra_headers` apply per request, the rest are set as litellm.<key>.
# litellm:
#   timeout: 1200          # per-request timeout (s); raise for slow local backends (Ollama)
#   drop_params: true      # let LiteLLM drop params a provider rejects (e.g. Ollama)
#   num_retries: 3
#   extra_headers:         # extra HTTP headers some providers need (e.g. GitHub Copilot)
#     Editor-Version: vscode/1.95.0
#     Copilot-Integration-Id: vscode-chat