[config]
model="gpt-4"
fallback_models=["gpt-3.5-turbo-16k"]
git_provider="bitbucket"
publish_output=true
publish_output_progress=true
verbosity_level=0 # 0,1,2
use_extra_bad_extensions=false
use_repo_settings_file=true
ai_timeout=180
max_description_tokens = 500
max_commits_tokens = 500
secret_provider="google_cloud_storage"
cli_mode=false

[pr_reviewer] # /review #
require_focused_review=false
require_score_review=false
require_tests_review=true
require_security_review=true
num_code_suggestions=4
inline_code_comments = false
ask_and_reflect=false
automatic_review=true
extra_instructions = ""

[pr_description] # /describe #
publish_labels=true
publish_description_as_comment=false
add_original_user_description=false
keep_original_user_title=false
extra_instructions = ""
# markers
use_description_markers=false
include_generated_by_header=true

[pr_questions] # /ask #

[pr_code_suggestions] # /improve #
num_code_suggestions=4
extra_instructions = ""
rank_suggestions = false
# params for '/improve --extended' mode
num_code_suggestions_per_chunk=8
rank_extended_suggestions = true
max_number_of_calls = 5
final_clip_factor = 0.9

[pr_update_changelog] # /update_changelog #
push_changelog_changes=false
extra_instructions = ""

[pr_config] # /config #

[github]
# The type of deployment to create. Valid values are 'app' or 'user'.
deployment_type = "user"
user_token = "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"  # A GitHub personal access token with 'repo' scope.
ratelimit_retries = 5

[github_app]
# these toggles allows running the github app from custom deployments
bot_user = "github-actions[bot]"
override_deployment_type = true
# in some deployments it's possible to get duplicate requests if the handling is long,
# these settings are used to avoid handling duplicate requests.
duplicate_requests_cache = false
duplicate_requests_cache_ttl = 60  # in seconds
# settings for "pull_request" event
handle_pr_actions = ['opened', 'reopened', 'ready_for_review', 'review_requested']
pr_commands = [
    "/describe --pr_description.add_original_user_description=true --pr_description.keep_original_user_title=true",
    "/auto_review",
]

[gitlab]
# URL to the gitlab service
url = "https://gitlab.com"

# Polling (either project id or namespace/project_name) syntax can be used
projects_to_monitor = ['org_name/repo_name']

# Polling trigger
magic_word = "AutoReview"

# Polling interval
polling_interval_seconds = 30

[local]
# LocalGitProvider settings - uncomment to use paths other than default
# description_path= "path/to/description.md"
# review_path= "path/to/review.md"

[gerrit]
# endpoint to the gerrit service
# url = "ssh://gerrit.example.com:29418"
# user for gerrit authentication
# user = "ai-reviewer"
# patch server where patches will be saved
# patch_server_endpoint = "http://127.0.0.1:5000/patch"
# token to authenticate in the patch server
# patch_server_token = ""


[openai]
key = ""  # Acquire through https://platform.openai.com
#org = "<ORGANIZATION>"  # Optional, may be commented out.
# Uncomment the following for Azure OpenAI
#api_type = "azure"
#api_version = '2023-05-15'  # Check Azure documentation for the current API version
#api_base = ""  # The base URL for your Azure OpenAI resource. e.g. "https://<your resource name>.openai.azure.com"
#deployment_id = ""  # The deployment name you chose when you deployed the engine
#fallback_deployments = []  # For each fallback model specified in configuration.toml in the [config] section, specify the appropriate deployment_id

[bitbucket]
# Bitbucket personal bearer token
bearer_token = ""

[litellm]
#use_client = false

[pr_similar_issue]
skip_comments = false
force_update_dataset = false
max_issues_to_scan = 500

[pinecone]
# fill and place in .secrets.toml
#api_key = ...
# environment = "gcp-starter"