# Teamlandkarte MCP configuration
# Copy this file to `config.toml` and adjust values.
#
# Credentials are never stored in this file. Provide them via environment
# variables (e.g. via `.env`):
# - DATA_LAKE_USERNAME
# - DATA_LAKE_PASSWORD
# - AZURE_OPENAI_LLM_API_KEY

[database]
backend = "trino"
host = "trino.example.local"
port = 443
http_scheme = "https"
verify_ssl = true
catalog = "hive"
schema = "tier1_open_lake"
connect_timeout = 10
pool_size = 4

[matching]
competence_weight = 0.8
role_weight = 0.2
require_confirmation = true
# Default matching method used when callers do not pass `matching_method`.
# Allowed values:
#   - "score"        : BM25 + LLM role similarity (numeric scores).
#   - "llm_fulltext" : LLM-based full-text matching with rationale.
default_method = "score"

[matching.thresholds]
top = 0.8
good = 0.65
partial = 0.5
low = 0.3

[matching.fuzzy]
min_similarity = 0.7

[matching.similarity]
# When true, an LLM pre-expands each candidate's competence list with
# canonical equivalents of required competences it already covers
# (synonyms, abbreviations, cross-language). The expansion is ephemeral
# and never persisted. Requires AZURE_OPENAI_LLM_API_KEY env var.
# Default: false.
use_auto_tagging = false

[matching.team]
# Gewichtungsfaktor für Top-Kompetenzen im Score-basierten Team-Matching.
# Wird nur von `find_matching_teams` (Profile_Type = "team") verwendet und
# beeinflusst die Capacity-Suche nicht.
# Der Wert muss numerisch und >= 1.0 sein. Default: 1.5.
top_competency_weight = 1.5

[cache]
db_ttl_hours = 12
search_ttl_minutes = 60
max_size = 100

[azure_openai]
# Azure OpenAI endpoint configuration.
#
# IMPORTANT:
# - `endpoint` must be your Azure OpenAI resource endpoint.
# - `chat_deployment` must be set to a valid Azure deployment name.
#
# Credentials are read from:
# - AZURE_OPENAI_LLM_API_KEY
endpoint = "https://YOUR-RESOURCE.openai.azure.com"

# Azure OpenAI API version (must be supported by your resource).
api_version = "2024-02-15-preview"

# Chat/LLM deployment name (e.g. "gpt-4.1"). Required.
# API key must be provided via AZURE_OPENAI_LLM_API_KEY environment variable.
chat_deployment = ""

# Optional: include a cost summary block in certain tool outputs.
# This always remains approximate unless you configure prices in CostTracker.
# Defaults to false.
show_costs_in_output = false

# Maximale Anzahl paralleler LLM-Anfragen (1-50, Standard: 5).
# Höhere Werte beschleunigen das Matching, können aber Rate-Limits auslösen.
max_concurrency = 25