configuration.toml

[config]
# models
model="gpt-4-turbo-2024-04-09"
model_turbo="gpt-4o"
fallback_models=["gpt-4-0125-preview"]
# CLI
git_provider="github"
publish_output=true
publish_output_progress=true
verbosity_level=0 # 0,1,2
use_extra_bad_extensions=false
# Configurations
use_wiki_settings_file=true
use_repo_settings_file=true
use_global_settings_file=true
ai_timeout=120 # 2minutes
# token limits
max_description_tokens = 500
max_commits_tokens = 500
max_model_tokens = 32000 # Limits the maximum number of tokens that can be used by any model, regardless of the model's default capabilities.
custom_model_max_tokens=-1 # for models not in the default list
#
patch_extra_lines = 1
secret_provider=""
cli_mode=false
ai_disclaimer_title=""  # Pro feature, title for a collapsible disclaimer to AI outputs
ai_disclaimer=""  # Pro feature, full text for the AI disclaimer
output_relevant_configurations=false
large_patch_policy = "clip" # "clip", "skip"
is_auto_command=false
# seed
seed=-1 # set positive value to fix the seed (and ensure temperature=0)
temperature=0.2

[pr_reviewer] # /review #
# enable/disable features
require_score_review=false
require_tests_review=true
require_estimate_effort_to_review=true
require_can_be_split_review=false
require_security_review=true
extra_issue_links=false
# soc2
require_soc2_ticket=false
soc2_ticket_prompt="Does the PR description include a link to ticket in a project management system (e.g., Jira, Asana, Trello, etc.) ?"
# general options
num_code_suggestions=0
inline_code_comments = false
ask_and_reflect=false
#automatic_review=true
persistent_comment=true
extra_instructions = ""
final_update_message = true
# review labels
enable_review_labels_security=true
enable_review_labels_effort=true
# specific configurations for incremental review (/review -i)
require_all_thresholds_for_incremental_review=false
minimal_commits_for_incremental_review=0
minimal_minutes_for_incremental_review=0
enable_help_text=false # Determines whether to include help text in the PR review. Enabled by default.
# auto approval
enable_auto_approval=false
maximal_review_effort=5


[pr_description] # /describe #
publish_labels=true
add_original_user_description=true
generate_ai_title=false
use_bullet_points=true
extra_instructions = ""
enable_pr_type=true
final_update_message = true
enable_help_text=false
enable_help_comment=true
# describe as comment
publish_description_as_comment=false
publish_description_as_comment_persistent=true
## changes walkthrough section
enable_semantic_files_types=true
collapsible_file_list='adaptive' # true, false, 'adaptive'
inline_file_summary=false # false, true, 'table'
# markers
use_description_markers=false
include_generated_by_header=true
# large pr mode 💎
enable_large_pr_handling=true
max_ai_calls=4
async_ai_calls=true
mention_extra_files=true
#custom_labels = ['Bug fix', 'Tests', 'Bug fix with tests', 'Enhancement', 'Documentation', 'Other']

[pr_questions] # /ask #
enable_help_text=false


[pr_code_suggestions] # /improve #
max_context_tokens=10000
num_code_suggestions=4
commitable_code_suggestions = false
extra_instructions = ""
rank_suggestions = false
enable_help_text=false
persistent_comment=true
max_history_len=4
# enable to apply suggestion 💎
apply_suggestions_checkbox=true
# suggestions scoring
self_reflect_on_suggestions=true
suggestions_score_threshold=0 # [0-10]. highly recommend not to set this value above 8, since above it may clip highly relevant suggestions
# params for '/improve --extended' mode
auto_extended_mode=true
num_code_suggestions_per_chunk=4
max_number_of_calls = 3
parallel_calls = true
rank_extended_suggestions = false
final_clip_factor = 0.8
# self-review checkbox
demand_code_suggestions_self_review=false # add a checkbox for the author to self-review the code suggestions
code_suggestions_self_review_text= "**Author self-review**: I have reviewed the PR code suggestions, and addressed the relevant ones."
approve_pr_on_self_review=false # Pro feature. if true, the PR will be auto-approved after the author clicks on the self-review checkbox
# Suggestion impact
publish_post_process_suggestion_impact=true

[pr_custom_prompt] # /custom_prompt #
prompt = """\
The code suggestions should focus only on the following:
- ...
- ...
...
"""
suggestions_score_threshold=0
num_code_suggestions_per_chunk=4
self_reflect_on_custom_suggestions=true
enable_help_text=false


[pr_add_docs] # /add_docs #
extra_instructions = ""
docs_style = "Sphinx" # "Google Style with Args, Returns, Attributes...etc", "Numpy Style", "Sphinx Style", "PEP257", "reStructuredText"
file = ""              # in case there are several components with the same name, you can specify the relevant file
class_name = ""        # in case there are several methods with the same name in the same file, you can specify the relevant class name

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

[pr_analyze] # /analyze #
enable_help_text=true

[pr_test] # /test #
extra_instructions = ""
testing_framework = "" # specify the testing framework you want to use
num_tests=3            # number of tests to generate. max 5.
avoid_mocks=true       # if true, the generated tests will prefer to use real objects instead of mocks
file = ""              # in case there are several components with the same name, you can specify the relevant file
class_name = ""        # in case there are several methods with the same name in the same file, you can specify the relevant class name
enable_help_text=false

[pr_improve_component] # /improve_component #
num_code_suggestions=4
extra_instructions = ""
file = ""              # in case there are several components with the same name, you can specify the relevant file
class_name = ""        # in case there are several methods with the same name in the same file, you can specify the relevant class name

[checks] # /checks (pro feature) #
enable_auto_checks_feedback=true
excluded_checks_list=["lint"] # list of checks to exclude, for example: ["check1", "check2"]
persistent_comment=true
enable_help_text=true
final_update_message = false

[pr_help] # /help #

[pr_config] # /config #

[github]
# The type of deployment to create. Valid values are 'app' or 'user'.
deployment_type = "app"
ratelimit_retries = 5
base_url = "https://api.github.com"
publish_inline_comments_fallback_with_verification = true
try_fix_invalid_inline_comments = true
app_name = "pr-agent"

[github_action_config]
# auto_review = true    # set as env var in .github/workflows/pr-agent.yaml
# auto_describe = true  # set as env var in .github/workflows/pr-agent.yaml
# auto_improve = true   # set as env var in .github/workflows/pr-agent.yaml

[github_app]
# these toggles allows running the github app from custom deployments
bot_user = "github-actions[bot]"
override_deployment_type = true
# settings for "pull_request" event
handle_pr_actions = ['opened', 'reopened', 'ready_for_review']
pr_commands = [
    "/describe --pr_description.final_update_message=false",
    "/review --pr_reviewer.num_code_suggestions=0",
    "/improve",
]
# settings for "pull_request" event with "synchronize" action - used to detect and handle push triggers for new commits
handle_push_trigger = false
push_trigger_ignore_bot_commits = true
push_trigger_ignore_merge_commits = true
push_trigger_wait_for_initial_review = true
push_trigger_pending_tasks_backlog = true
push_trigger_pending_tasks_ttl = 300
push_commands = [
    "/describe",
    "/review --pr_reviewer.num_code_suggestions=0",
]
ignore_pr_title = []
ignore_bot_pr = true

[gitlab]
url = "https://gitlab.com"
pr_commands = [
    "/describe",
    "/review --pr_reviewer.num_code_suggestions=0",
    "/improve",
]
handle_push_trigger = false
push_commands = [
    "/describe",
    "/review --pr_reviewer.num_code_suggestions=0",
]

[bitbucket_app]
pr_commands = [
    "/review --pr_reviewer.num_code_suggestions=0",
    "/improve --pr_code_suggestions.commitable_code_suggestions=true --pr_code_suggestions.suggestions_score_threshold=7",
]


[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 = ""

[bitbucket_server]
# URL to the BitBucket Server instance
# url = "https://git.bitbucket.com"
url = ""

[litellm]
# use_client = false
# drop_params = false

[pr_similar_issue]
skip_comments = false
force_update_dataset = false
max_issues_to_scan = 500
vectordb = "pinecone"

[pr_find_similar_component]
class_name = ""
file = ""
search_from_org = false
allow_fallback_less_words = true
number_of_keywords = 5
number_of_results = 5

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

[lancedb]
uri = "./lancedb"

[best_practices]
content = ""
max_lines_allowed = 800