# Evolve Framework Configuration (Default Template)

# ================================================

# This file defines repository-wide defaults.

# Priority: explicit config file > experiment config > repository config.

# Experiment name

experiment_name: "default"

# API configuration

# In practice, experiment-level config files usually override these values.

api:

provider: "openai" # Any OpenAI-compatible endpoint

base_url: "your_base_url"

api_key: "your_api_key"

model: "your_model"

temperature: 0

top_p: 0.8

max_tokens: 16384

seed: 42

timeout: 300

retry_times: 3

retry_delay: 5

# Logging configuration

logging:

level: "INFO"

console: true

wandb:

enabled: true

offline: false # Use `wandb sync` later when running offline

project: "evolve"

entity: ""

# Pipeline configuration

pipeline:

# Agent toggles

agents:

manager: false

researcher: true

engineer: true

analyzer: true

# Researcher configuration

researcher:

# When enabled, the researcher edits a sampled parent via SEARCH/REPLACE diffs.

diff_based_evolution: true

# Regex used to parse diff-based edits.

diff_pattern: "<<<<<<< SEARCH\\n(.*?)=======\\n(.*?)>>>>>>> REPLACE"

# Maximum generated code length.

max_code_length: 10000

# Retry counts per agent

max_retries:

researcher: 3

engineer: 2

analyzer: 2

# Engineer timeout in seconds

engineer_timeout: 1800

# Parallel execution

parallel:

num_workers: 1

# Suggested settings:

# - 1: sequential execution, best for debugging

# - 2-4: practical parallelism for production runs

# - >4: requires enough API quota and compute resources

# Number of historical nodes sampled per step

sample_n: 3

# Optional LLM-based judge

# final_score = (1 - judge_ratio) * eval_score + judge_ratio * judge_score

judge:

enabled: false

ratio: 0.2

# Provide `judge.jinja2` in the experiment prompts directory when enabled.

# Cognition configuration

cognition:

# Path relative to the experiment directory

storage_dir: "cognition_data"

embedding:

model: "sentence-transformers/all-MiniLM-L6-v2"

dimension: 384

faiss:

index_type: "IP"

retrieval:

top_k: 3

score_threshold: 0.3

# Reserved for future web-search support

web_search:

enabled: false

# Database configuration

database:

# Path relative to the experiment directory

storage_dir: "database_data"

# Limit database size. When full, the lowest-scoring node is removed.

max_size: null

embedding:

model: "sentence-transformers/all-MiniLM-L6-v2"

dimension: 384

# Sampling algorithm

sampling:

algorithm: "ucb1"

ucb1_c: 1.414

# Island-sampler parameters

island:

num_islands: 5

migration_interval: 10

migration_rate: 0.1

exploration_ratio: 0.2

exploitation_ratio: 0.3

# The remaining probability mass is used for weighted sampling.

faiss:

index_type: "IP"