ResearchHarness/.env.example at main · InternScience/ResearchHarness · GitHub

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
# Required
API_KEY="your_openai_compatible_key"                     # API key for your OpenAI-compatible LLM provider.
API_BASE="https://your-openai-compatible-endpoint/v1"    # Base URL for the OpenAI-compatible chat-completions endpoint.
MODEL_NAME="gpt-5.5"                                     # Main model used by the agent.
SERPER_KEY="your_serper_key"                             # https://serper.dev/
JINA_KEY="your_jina_key"                                 # https://jina.ai/
MINERU_TOKEN="your_mineru_token"                         # https://mineru.net/

# Optional
WORKSPACE_ROOT="./workspace"                             # Default local workspace root when --workspace-root is not provided.
MAX_ROUNDS=500                                           # Maximum ReAct loop rounds before forced termination.
MAX_RUNTIME_SECONDS=10800                                # Maximum wall-clock runtime per agent run.
TIMEOUT_SECONDS=1200                                     # Timeout for each chat-completions request.
WEBFETCH_TIMEOUT_SECONDS=300                             # Overall timeout for one WebFetch tool call.
WEBFETCH_MAX_CHARS=16384                                 # Hard maximum characters returned by one WebFetch call.
MAX_OUTPUT_TOKENS=16384                                  # Maximum output tokens requested from the main model.
MAX_INPUT_TOKENS=131072                                  # Maximum input-token budget used for runtime token accounting.
RECENT_HISTORY_BUDGET_TOKENS=8192                        # Recent-turn token budget retained after memory compaction.
COMPACT_SUMMARY_MAX_TOKENS=8192                          # Maximum output tokens for compaction summaries and default compaction reserve.
MAX_RETRIES=5                                            # Maximum retries for transient LLM API failures.
TEMPERATURE=0.6                                          # Main model sampling temperature.
TOP_P=0.95                                               # Main model nucleus-sampling top_p.
PRESENCE_PENALTY=1.00                                    # Main model presence penalty when supported by the provider.
COMPACT_TRIGGER_TOKENS="96k"                             # Context size threshold that triggers automatic memory compaction.
IMAGE_PART_TOKEN_ESTIMATE=2048                           # Token estimate used for each runtime image_url content part.
LLM_IMAGE_MAX_EDGE=1568                                  # Maximum image edge length sent to multimodal LLMs.
LLM_IMAGE_MAX_BYTES=524288                               # Maximum compressed image payload size sent to multimodal LLMs.
LLM_IMAGE_JPEG_QUALITY=85                                # Initial JPEG quality for runtime image compression.
DEBUG_AGENT=false                                        # Print verbose agent-loop debug logs.
DEBUG_SEARCH=false                                       # Print verbose WebSearch debug logs.
DEBUG_SCHOLAR=false                                      # Print verbose ScholarSearch debug logs.
DEBUG_VISIT=false                                        # Print verbose WebFetch debug logs.