File size: 4,393 Bytes
a54fd97
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
"""
Runtime configuration for the classic text-only SimpleMem pipeline.

This file is intentionally environment-driven so benchmark runs can inject
credentials without storing secrets in the repository.
"""
from __future__ import annotations

import os


def _get_bool(name: str, default: bool) -> bool:
    value = os.getenv(name)
    if value is None:
        return default
    return value.strip().lower() in {"1", "true", "yes", "on"}


def _get_int(name: str, default: int | None) -> int | None:
    value = os.getenv(name)
    if value is None or value == "":
        return default
    return int(value)


def _get_optional_str(name: str, default: str | None) -> str | None:
    value = os.getenv(name)
    if value is None or value == "":
        return default
    return value


# ============================================================================
# LLM Configuration
# ============================================================================

DASHSCOPE_API_KEY = _get_optional_str("DASHSCOPE_API_KEY", None)
OPENAI_API_KEY = _get_optional_str("OPENAI_API_KEY", DASHSCOPE_API_KEY)
OPENAI_BASE_URL = _get_optional_str(
    "OPENAI_BASE_URL",
    "https://dashscope.aliyuncs.com/compatible-mode/v1",
)
LLM_MODEL = _get_optional_str("LLM_MODEL", "qwen3-max-2026-01-23")


# ============================================================================
# Embedding Configuration
# ============================================================================

EMBEDDING_MODEL = _get_optional_str("EMBEDDING_MODEL", "text-embedding-v4")
EMBEDDING_DIMENSION = _get_int("EMBEDDING_DIMENSION", None)
EMBEDDING_BATCH_SIZE = _get_int("EMBEDDING_BATCH_SIZE", 8)


# ============================================================================
# Advanced LLM Features
# ============================================================================

ENABLE_THINKING = _get_bool("ENABLE_THINKING", False)
USE_STREAMING = _get_bool("USE_STREAMING", False)
USE_JSON_FORMAT = _get_bool("USE_JSON_FORMAT", True)
LLM_MAX_RETRIES = _get_int("LLM_MAX_RETRIES", 5) or 5
EMBEDDING_MAX_RETRIES = _get_int("EMBEDDING_MAX_RETRIES", 5) or 5


# ============================================================================
# Memory Building Parameters
# ============================================================================

WINDOW_SIZE = _get_int("WINDOW_SIZE", 40) or 40
OVERLAP_SIZE = _get_int("OVERLAP_SIZE", 2) or 0
FAIL_ON_EXTRACTION_ERROR = _get_bool("FAIL_ON_EXTRACTION_ERROR", False)


# ============================================================================
# Retrieval Parameters
# ============================================================================

SEMANTIC_TOP_K = _get_int("SEMANTIC_TOP_K", 25) or 25
KEYWORD_TOP_K = _get_int("KEYWORD_TOP_K", 5) or 5
STRUCTURED_TOP_K = _get_int("STRUCTURED_TOP_K", 5) or 5


# ============================================================================
# Database Configuration
# ============================================================================

LANCEDB_PATH = _get_optional_str("LANCEDB_PATH", "./lancedb_data")
MEMORY_TABLE_NAME = _get_optional_str("MEMORY_TABLE_NAME", "memory_entries")


# ============================================================================
# Parallel / Planning Configuration
# ============================================================================

ENABLE_PARALLEL_PROCESSING = _get_bool("ENABLE_PARALLEL_PROCESSING", False)
MAX_PARALLEL_WORKERS = _get_int("MAX_PARALLEL_WORKERS", 4) or 4
ENABLE_PARALLEL_RETRIEVAL = _get_bool("ENABLE_PARALLEL_RETRIEVAL", False)
MAX_RETRIEVAL_WORKERS = _get_int("MAX_RETRIEVAL_WORKERS", 4) or 4
ENABLE_PLANNING = _get_bool("ENABLE_PLANNING", True)
ENABLE_REFLECTION = _get_bool("ENABLE_REFLECTION", False)
MAX_REFLECTION_ROUNDS = _get_int("MAX_REFLECTION_ROUNDS", 1) or 1


# ============================================================================
# Judge Configuration
# ============================================================================

JUDGE_API_KEY = _get_optional_str("JUDGE_API_KEY", OPENAI_API_KEY)
JUDGE_BASE_URL = _get_optional_str("JUDGE_BASE_URL", OPENAI_BASE_URL)
JUDGE_MODEL = _get_optional_str("JUDGE_MODEL", LLM_MODEL)
JUDGE_ENABLE_THINKING = _get_bool("JUDGE_ENABLE_THINKING", False)
JUDGE_USE_STREAMING = _get_bool("JUDGE_USE_STREAMING", False)
JUDGE_TEMPERATURE = float(os.getenv("JUDGE_TEMPERATURE", "0.3"))