DELMConfig

Configuration objects for DELM pipelines.

DELMConfig

Main configuration object containing all settings.

from delm import DELMConfig

config = DELMConfig(
    schema=schema,
    provider="openai",
    model="gpt-4o-mini",
    **kwargs
)

Parameters: Same as DELM constructor

Methods

from_yaml()

Load configuration from YAML file.

config = DELMConfig.from_yaml("config.yaml")

---

to_yaml()

Save configuration to YAML file.

config.to_yaml("config.yaml")

---

to_dict()

Convert to dictionary.

config_dict = config.to_dict()

---

validate()

Validate configuration (called automatically on construction).

config.validate()  # Raises ValueError if invalid

Sub-Configurations

LLMExtractionConfig

LLM and extraction settings.

Attributes: - provider, model, temperature - batch_size, max_workers, max_retries, base_delay, tokens_per_minute, requests_per_minute - max_completion_tokens - track_cost, max_budget - model_input_cost_per_1M_tokens, model_output_cost_per_1M_tokens - prompt_template, system_prompt

---

DataPreprocessingConfig

Data loading and preprocessing settings.

Attributes: - target_column, drop_target_column - splitting_strategy, relevance_scorer, score_filter

---

SemanticCacheConfig

Caching settings.

Attributes: - backend ("sqlite", "lmdb", "json") - path, max_size_mb, synchronous

Example

from delm import DELM, DELMConfig

# Create and save config
delm = DELM(schema=schema, model="gpt-4o-mini")
delm.config.to_yaml("experiment_config.yaml")

# Load and reuse config
config = DELMConfig.from_yaml("experiment_config.yaml")
delm2 = DELM.from_config(config, model="claude-3-5-sonnet-20241022")  # Override model