configuration.toml

# Important: This file contains all available configuration options.
# Do not copy this entire file to your repository configuration.
# Your repository configuration should only include options you wish to override from the defaults.

[config]
# models
model="gpt-5.6"
fallback_models=["gpt-5.6-terra"]
#model_reasoning="gpt-5.6-terra" # dedicated reasoning model for self-reflection
#model_weak="gpt-5.6-luna" # optional, a weaker model to use for some easier tasks
# CLI
git_provider="github"
publish_output=true
publish_output_progress=true
progress_gif_url="" # optional, override for the progress loading gif url (example: 'https://.../spinner.gif').
progress_gif_width=48 # optional, width (in px) of the progress loading gif.
verbosity_level=0 # 0,1,2
use_extra_bad_extensions=false
# Log
log_level="DEBUG"
# Configurations
use_repo_settings_file=true
use_global_settings_file=true
extra_config_url="" # optional URL or path to an additional .pr_agent.toml merged before the repo-local config; also settable via --extra_config_url or PR_AGENT_EXTRA_CONFIG_URL. See docs/docs/usage-guide/configuration_options.md#external-configuration-url.
disable_auto_feedback = false
enable_auto_approval = false # when true, /review may auto-approve a PR via auto_approve_logic(); that caller is currently commented out
ai_timeout=120 # 2 minutes
retry_same_model_on_timeout = true # when false, a timed-out call is not retried on the same model and moves on to fallback_models
# num_retries = 0 # per-call retries inside the completion client itself; unset keeps the client's default. These multiply the handler's own retry attempts
skip_keys = []
custom_reasoning_model = false # when true, disables system messages and temperature controls for models that don't support chat-style inputs
response_language="en-US" # Language locales code for PR responses in ISO 3166 and ISO 639 format (e.g., "en-US", "it-IT", "zh-CN", ...)
repo_context_files = ["AGENTS.md"] # Repository-relative files (e.g. AGENTS.md, CLAUDE.md) to include as AI prompt context; set to [] to disable
repo_context_from_default_branch = true # Read repo context files from the repository default branch (trusts only default-branch content). Set to false to read from the PR target branch instead.
repo_context_max_lines = 500 # Maximum total rendered lines for repo context, including wrapper tags
# 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
max_output_tokens = 0 # Output token limit sent as max_tokens on model calls; 0 = unset (the provider's own default applies)
model_token_count_estimate_factor=0.3 # factor to increase the token count estimate, in order to reduce likelihood of model failure due to too many tokens - applicable only when requesting an accurate estimate.
# patch extension logic
patch_extension_skip_types =[".md",".txt"]
allow_dynamic_context=true
max_extra_lines_before_dynamic_context = 10 # will try to include up to 10 extra lines before the hunk in the patch, until we reach an enclosing function or class
patch_extra_lines_before = 5 # Number of extra lines (+3 default ones) to include before each hunk in the patch
patch_extra_lines_after = 1 # Number of extra lines (+3 default ones) to include after each hunk in the patch
secret_provider="" # "" (disabled), "google_cloud_storage", or "aws_secrets_manager" for secure secret management
cli_mode=false
output_relevant_configurations=false
output_run_details=false # if true, append an agent run details section (model, tokens, time cost, AI calls) to generated PR comments
output_run_cost=false # if true, collect estimated LiteLLM API cost and include it inside the enabled run details section
large_patch_policy = "clip" # "clip", "skip"
duplicate_prompt_examples = false
# Persistent inline comments (issue #2037): when true, the GitHub, GitLab, and Azure DevOps providers
# fingerprint each inline comment, embed the fingerprint as an HTML marker, and skip
# re-posting suggestions already present on the PR/MR across runs.
persistent_inline_comments = false
# seed
seed=-1 # set positive value to fix the seed (and ensure temperature=0)
temperature=0.2
# ignore logic
ignore_pr_title = ["^\\[Auto\\]", "^Auto"] # a list of regular expressions to match against the PR title to ignore the PR agent
ignore_pr_target_branches = [] # a list of regular expressions of target branches to ignore from PR agent when an PR is created
ignore_pr_source_branches = [] # a list of regular expressions of source branches to ignore from PR agent when an PR is created
ignore_pr_labels = [] # labels to ignore from PR agent when an PR is created
ignore_pr_authors = [] # authors to ignore from PR agent when an PR is created
ignore_repositories = [] # a list of regular expressions of repository full names (e.g. "org/repo") to ignore from PR agent processing
ignore_language_framework = [] # a list of code-generation languages or frameworks (e.g. 'protobuf', 'go_gen') whose auto-generated source files will be excluded from analysis
# Substring indicators used to skip bot users on webhook events. Currently consumed by
# the GitLab webhook (`is_bot_user`); other providers may adopt this list in future.
# The match is case-insensitive against the sender's display name. Overriding this
# setting REPLACES the default list — include the entries below in your override if
# you want to keep them (e.g. `["codium", "bot_", "bot-", "_bot", "-bot", "renovate"]`).
bot_user_indicators = ["codium", "bot_", "bot-", "_bot", "-bot"]
#
restricted_mode = false # when true, skip operations that require elevated permissions (e.g. pushing code to the repository)
is_auto_command = false # will be auto-set to true if the command is triggered by an automation
propagate_tool_errors = false # when true, a tool re-raises instead of swallowing an internal error, so a caller can tell a failed run from an empty one
enable_ai_metadata = false # will enable adding ai metadata
add_user_to_requests = false # send the current command and PR URL in the OpenAI-compatible "user" request field, for provider-side attribution of requests (e.g. OpenRouter "external_user")
reasoning_effort = "medium" # "none", "minimal", "low", "medium", "high", "xhigh", "max"
# extended thinking for Claude reasoning models
enable_claude_extended_thinking = false # Set to true to enable extended thinking feature
extended_thinking_budget_tokens = 2048
extended_thinking_max_output_tokens = 4096
# Adaptive thinking for Claude Opus 4.7/4.8 and Claude 5 models. When enabled,
# these models receive thinking={"type": "adaptive"} and an output_config effort.
# Do not add adaptive-only models to claude_extended_thinking_models_override;
# when both features are enabled, adaptive thinking takes precedence.
enable_claude_adaptive_thinking = false
# Optional: override the built-in list of Claude models that receive the extended-thinking payload.
# When non-empty, this list fully replaces the built-in defaults (see CLAUDE_EXTENDED_THINKING_MODELS
# in pr_agent/algo/__init__.py). Leave empty to use the defaults.
claude_extended_thinking_models_override = []
# Extract issue number from PR source branch name (e.g. feature/1-auth-google -> issue #1). When true, branch-derived
# issue URLs are merged with tickets from the PR description for compliance. Set to false to restore description-only behaviour.
# Note: Branch-name extraction is GitHub-only for now; other providers planned for later.
extract_issue_from_branch = true
# Optional: custom regex with exactly one capturing group for the issue number (validated at runtime; falls back
# to default if missing). If empty, uses default pattern: first 1-6 digits at start of branch or after a slash,
# followed by hyphen or end (e.g. feature/1-test, 123-fix). GitHub only; other providers planned for later.
branch_issue_regex = ""


[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
require_estimate_contribution_time_cost=false
require_todo_scan=false
require_ticket_analysis_review=true
# Opt-in structured assessment fields. Each adds one field to the review output and to the model's output schema.
require_risk_assessment=false # ask the model for an overall risk level (low/medium/high)
require_merge_recommendation=false # ask the model for a merge recommendation (safe_to_merge/merge_with_caution/changes_required)
require_priority_files=false # ask the model which files a human should inspect first
# general options
publish_output_no_suggestions=true # Set to "false" if you only need the reviewer's remarks (not labels, not "security audit", etc.) and want to avoid noisy "No major issues detected" comments.
persistent_comment=true
# Visible base heading for full and incremental review comments. Identity is tracked separately.
review_heading = "PR Reviewer Guide"
persistent_finding_state=true # Persist review finding state across complete review runs.

inline_key_issues=false
extra_instructions = ""
num_max_findings = 3
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_intro_text=true
enable_help_text=false # Determines whether to include help text in the PR review. Enabled by default.
enable_review_coverage_footer=true
# large-diff chunking (opt-in). When the token budget leaves files out of the review, split the diff
# into chunks, review each chunk, and merge the per-chunk results into one review.
enable_large_pr_chunking=false
max_number_of_calls=3 # maximum number of chunk review calls, used only when enable_large_pr_chunking is true

[pr_description] # /describe #
publish_labels=false
add_original_user_description=true
generate_ai_title=false
use_bullet_points=true
extra_instructions = ""
enable_pr_type=true
enable_pr_description=true # adds a section with an AI-generated summary of the PR changes
final_update_message = true
enable_help_text=false
enable_help_comment=false
enable_pr_diagram=true # adds a section with a diagram of the PR changes
pr_diagram_direction='adaptive' # 'adaptive', 'LR', 'TD'. 'adaptive' picks the direction from the shape of the diagram
pr_diagram_direction_threshold=5 # with 'adaptive', a chain longer than this many nodes is drawn top-down
# 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'
collapsible_file_list_threshold=6
file_table_collapsible_open_by_default=false
inline_file_summary=false # false, true, 'table'
# markers
use_description_markers=false
enable_large_pr_handling=true
include_generated_by_header=true
#custom_labels = ['Bug fix', 'Tests', 'Bug fix with tests', 'Enhancement', 'Documentation', 'Other']
max_ai_calls=4
async_ai_calls=true
[pr_questions] # /ask #
enable_help_text=false
use_conversation_history=true
# Set the plain-text heading for top-level /ask answers; provider-specific presentation is added automatically.
ask_heading = "Ask"
# Enable to let /ask_line resolve the review thread when the LLM judges the
# issue addressed. Note: also resolves threads started by human reviewers.
resolve_threads=false
extra_instructions = ""


[pr_code_suggestions] # /improve #
commitable_code_suggestions = false
dual_publishing_score_threshold=-1 # -1 to disable, [0-10] to set the threshold (>=) for publishing a code suggestion both in a table and as committable
focus_only_on_problems=true
#
extra_instructions = ""
# Visible base heading for summary-table /improve comments. Identity is tracked separately.
suggestions_heading = "PR Code Suggestions"
enable_help_text=false
enable_chat_text=false
persistent_comment=true
max_history_len=4
publish_output_no_suggestions=true
enable_suggestions_coverage_footer=true # show when failed analysis chunks make the suggestions incomplete
# suggestions scoring
suggestions_score_threshold=0 # [0-10]| recommend not to set this value above 8, since above it may clip highly relevant suggestions
new_score_mechanism=true
new_score_mechanism_th_high=9
new_score_mechanism_th_medium=7
# params for '/improve --extended' mode
auto_extended_mode=true
num_code_suggestions_per_chunk=3
# Maximum suggestions retained per file after all chunks are merged; 0 disables the cap.
max_suggestions_per_file = 0
max_number_of_calls = 3
parallel_calls = true

final_clip_factor = 0.8
decouple_hunks = false
# 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 # if true, the PR will be auto-approved after the author clicks on the self-review checkbox
fold_suggestions_on_self_review=true # if true, the code suggestions will be folded after the author clicks on the self-review checkbox

[pr_custom_prompt] # /custom_prompt #
prompt = """\
The code suggestions should focus only on the following:
- ...
- ...
...
"""
suggestions_score_threshold=0
num_code_suggestions_per_chunk=3
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 = ""
add_pr_link=true
skip_ci_on_push=true

[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

[pr_help] # /help #
force_local_db=false
num_retrieved_snippets=5

[pr_config] # /config #

[pr_help_docs]
repo_url = "" #If not overwritten, will use the repo from where the context came from (issue or PR)
repo_default_branch = "main"
docs_path = "docs"
exclude_root_readme = false
supported_doc_exts = [".md", ".mdx", ".rst"]
enable_help_text=false

[github]
# The type of deployment to create. Valid values are 'app' or 'user'.
deployment_type = "user"
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"
ignore_bot_pr = true
publish_as_check_run = false # when true, publish review/description/improve output as GitHub Checks instead of PR comments

[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
# pr_actions = ['opened', 'reopened', 'ready_for_review', 'review_requested']
# handle_push_trigger = false  # when true, handle synchronize events using push_commands (falls back to github_app.handle_push_trigger)
# push_trigger_ignore_bot_commits = true
# push_trigger_ignore_merge_commits = true
# push_commands = ['/describe', '/review']  # defaults mirror github_app.push_commands
# review_states = ['changes_requested']  # states that trigger review_commands after a submitted GitHub review
# review_author_types = ['User']  # review.user.type values allowed to trigger review_commands
# review_commands = []  # empty by default; falls back to github_app.review_commands when unset

[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']
feedback_on_draft_pr = false
# A submitted GitHub review can optionally trigger these commands. The empty default preserves current behavior.
review_states = ["changes_requested"]
review_author_types = ["User"]
review_commands = []
# 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",
]

[gitlab]
url = "https://gitlab.com"
expand_submodule_diffs = false
feedback_on_draft_pr = false
# Post the /review summary as a resolvable thread (discussion) instead of a plain note.
publish_review_as_thread = false
# Post the /improve suggestions comment as a resolvable thread (discussion) instead of a plain note.
publish_improve_as_thread = false
# When pr_code_suggestions.commitable_code_suggestions is true, queue each suggestion as a GitLab draft
# note and publish them all together in one batch (like GitLab's own "start a review" flow) instead of
# posting each as its own live discussion - and its own notification - as soon as it's created.
publish_code_suggestions_as_review = false
# Resolve the bot's own inline threads that a later push left on an outdated diff version.
resolve_outdated_inline_threads = false
handle_push_trigger = false
push_commands = [
    "/describe",
    "/review",
]
# Configure SSL validation for GitLab. Can be either set to the path of a custom CA or disabled entirely.
# ssl_verify = true
# Auto-trigger commands when the bot is assigned as a reviewer on an MR
handle_reviewer_assignment = false
reviewer_commands = [
    "/review",
]

[gitea]
url = "https://gitea.com"
# Optional user-facing base URL used to build links published in comments, for
# self-hosted instances where the API is reached via an internal address but
# users browse a different external URL, or where the server's own ROOT_URL is
# misconfigured. Defaults to `url` when it differs from the shipped default
# above, else derived from the PR's html_url.
# web_url = ""
handle_push_trigger = false
push_commands = [
    "/describe",
    "/review",
]

[bitbucket_app]
avoid_full_files = false
request_timeout = 30 # positive seconds for connection and response-read inactivity timeouts

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

[gerrit]
# both are required: the gerrit webhook endpoint rejects every call until they are set
webhook_username = ""
webhook_password = ""
# 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
enable_callbacks = false
success_callback = []
failure_callback = []
service_callback = []
turn_off_message_logging = false # set true to keep prompt/response content (the whole PR diff) out of callback payloads; strongly recommended with the "otel" callback
# Optional: forward a fixed custom_llm_provider to LiteLLM, so a raw hosted model id
# (e.g. "claude-sonnet-4-5") reaches the provider unchanged instead of being rewritten
# by LiteLLM's prefix inference. Empty = let LiteLLM infer the provider from the model name.
custom_llm_provider = ""
# Force streaming when the request matches this provider AND its api_base contains one of the
# substrings below. Some OpenAI-compatible endpoints return a response that LiteLLM cannot
# normalize in non-streaming mode. Both must be set for the workaround to apply.
force_streaming_custom_llm_provider = ""
force_streaming_api_base_substrings = []
callback_timeout_seconds = 30 # max seconds to wait for pending litellm callbacks to flush before exiting
# Application inference profile ARN for classic `bedrock/` calls through the `bedrock-runtime` APIs.
# Not used by `bedrock_mantle/`, which uses Projects for cost allocation.
# model_id = ""
cache_control_injection_points = [] # Optional: enable Anthropic prompt caching via LiteLLM, e.g. [{location = "message", role = "system"}] (https://docs.litellm.ai/docs/tutorials/prompt_caching)

[openrouter]
# OpenRouter provider routing, reasoning control and output cap. These apply only
# to models addressed as "openrouter/...". The API key and api_base live in
# .secrets.toml (or the openrouter__key env var); the keys below are non-secret.
# Refs: https://openrouter.ai/docs/guides/routing/provider-selection
#       https://openrouter.ai/docs/guides/best-practices/reasoning-tokens
provider_only = [] # restrict routing to these upstream providers only, a hard allowlist (e.g. ["z-ai"]); empty = OpenRouter default routing
provider_order = [] # preferred provider order; ignored when provider_only is set; empty = unset
allow_fallbacks = true # when provider_order is set, allow routing beyond the listed providers
# Invalid reasoning_effort values are warned about and treated as unset.
# Empty inherits config.reasoning_effort for models in SUPPORT_REASONING_EFFORT_MODELS.
# Valid values: "none", "minimal", "low", "medium", "high", "xhigh", "max".
# OpenRouter normalizes "max" to "xhigh" to match LiteLLM 1.98.0.
# Model-specific support varies; mandatory reasoning models reject "none".
reasoning_effort = ""
# A positive value overrides global effort and non-none OpenRouter-specific efforts.
# Explicit openrouter.reasoning_effort = "none" keeps reasoning disabled, except on
# Grok 4.5/4.6: there "none" is clamped to the lowest supported
# effort first, so a positive budget wins over it.
# Some providers require max_tokens to be greater than the reasoning budget.
reasoning_max_tokens = 0
max_tokens = 0 # hard cap on completion tokens for the request; 0 = unset

[otel]
# Keys map to settings.get("OTEL.*") via section-key dot notation.
is_enabled = false # disabled by default; set to true to enable telemetry
exporter_type = "console" # "console", "otlp", or "none"
service_name = "pr-agent"
environment = "development" # "development", "staging", "production", etc.
otlp_timeout = 3 # seconds; hard deadline per OTLP export call (incl. retries). Bounds CLI-exit/request stalls when the collector is unreachable; batches slower than this are dropped.
otlp_protocol = "http" # "http" (default; exporter ships with pr-agent) or "grpc" (requires the otel-grpc extra: pip install pr-agent[otel-grpc])
include_pr_url = false # set to true to attach PR URLs to spans (may expose private repo names)
include_error_details = false # set to true to attach exception messages and rejected-command text to spans (may expose PR URLs, repo names, or other request content)

[pr_similar_issue]
skip_comments = false
force_update_dataset = false
max_issues_to_scan = 500
vectordb = "pinecone" # options: "pinecone", "lancedb", "qdrant"

[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"

[qdrant]
# fill and place credentials in .secrets.toml
# url = "https://YOUR-QDRANT-URL"
# api_key = "..."

[skills]
# Agent skills (SKILL.md) support: discovers SKILL.md files from the configured
# filesystem paths and injects their content into review/improve/describe and
# top-level /ask prompts.
# Sibling *.md files in the skill directory tree (e.g. references/guide.md) are
# inlined alongside SKILL.md. PR-Agent supports text-only skills: scripts/ and
# assets/ subdirectories are skipped because PR-Agent uses a single-shot model
# call (no tool-use loop) and cannot execute scripts or load binary assets on
# demand. Skills that depend on script execution will not work here.
# See https://github.com/The-PR-Agent/pr-agent/issues/2384
enabled = false
paths = [] # directories to scan recursively for "*/SKILL.md"; supports ~ and $VAR
max_skills_tokens = 8000 # token budget for the combined skills_context block

[best_practices]
content = ""
organization_name = ""
max_lines_allowed = 800
enable_global_best_practices = false

[auto_best_practices]
enable_auto_best_practices = true # public - general flag to disable all auto best practices usage
utilize_auto_best_practices = true # public - disable usage of auto best practices in the 'improve' tool
extra_instructions = "" # public - extra instructions to the auto best practices generation prompt
content = ""
max_patterns = 5 # max number of patterns to be detected

[artifacts]
# Enable artifact injection into tool prompts (off by default; auto-enabled when artifact_path input is set)
enable = false
# File path to the artifact (relative to GITHUB_WORKSPACE, or absolute)
artifact_path = ""
# Custom instructions appended after the artifact content (leave empty for a sensible default)
artifact_instructions = ""
# Label shown to the AI — defaults to the filename when empty
artifact_label = ""
# Which tools receive artifact context
target_tools = ["pr_reviewer", "pr_description", "pr_code_suggestions"]
# Max artifact size in characters (content is truncated if exceeded)
max_artifact_size = 50000

[asana]
request_timeout = 10 # seconds allowed for each Asana task API request

[azure_devops]
default_comment_status = "closed"

[azure_devops_server]
agent_identity = "" # empty: discover the identity from earlier agent comments on the PR

[push_outputs] # push tool outputs to external sinks without calling git-provider APIs (disabled by default)
enable = false
channels = [] # any of: "stdout", "file", "webhook", "slack". Nothing is emitted until a channel is listed here
file_path = "pr-agent-outputs/reviews.jsonl" # used by the "file" channel
webhook_url = "" # used by the "webhook" channel: generic JSON POST target. Must be an absolute https:// URL
slack_webhook_url = "" # used by the "slack" channel: a Slack Incoming Webhook URL. Must be an absolute https:// URL