# Defaults live in deepgraph.toml. Put machine-local overrides and secrets here.

DEEPGRAPH_APP_NAME=DeepGraph
DEEPGRAPH_PROFILE=machine_learning
# Switch to a broader science tree:
# DEEPGRAPH_PROFILE=open_science

DEEPGRAPH_ROOT_NODE_ID=ml
# For open science:
# DEEPGRAPH_ROOT_NODE_ID=science

DEEPGRAPH_LLM_BASE_URL=https://api.tabcode.cc/openai
DEEPGRAPH_LLM_API_KEY=
DEEPGRAPH_LLM_MODEL=gpt-5.4
# Optional: more OpenAI-compatible routes beyond primary/secondary.
# DEEPGRAPH_LLM_EXTRA_PROVIDERS_JSON=[{"name":"route2","base_url":"https://provider.example/v1","api_key":"sk-...","model":"glm-5.1","protocol":"chat_completions","rpm":20}]
# Optional LLM stability knobs for flaky providers / gateways:
# DEEPGRAPH_LLM_CONNECT_TIMEOUT_SECONDS=30
# DEEPGRAPH_LLM_REQUEST_TIMEOUT_SECONDS=300
# DEEPGRAPH_LLM_TRANSIENT_RETRIES=2
# DEEPGRAPH_LLM_TRANSIENT_BACKOFF_SECONDS=5
# DEEPGRAPH_LLM_TRANSIENT_COOLDOWN_SECONDS=180

DEEPGRAPH_WEB_HOST=0.0.0.0
DEEPGRAPH_WEB_PORT=8080

DEEPGRAPH_PIPELINE_CONCURRENCY=4
DEEPGRAPH_ARXIV_MAX_RESULTS_PER_QUERY=100
DEEPGRAPH_BACKFILL_GRAPH_ON_START=true
DEEPGRAPH_REFRESH_MERGE_CANDIDATES_ON_START=true
DEEPGRAPH_PAPER_CLUSTER_MIN_PAPERS=10
# Optional single-process automation. Enable when you are not already running
# scripts/run_pipeline_forever.sh or another external processor.
# DEEPGRAPH_AUTO_PIPELINE_ENABLED=true
# DEEPGRAPH_AUTO_PIPELINE_BATCH_SIZE=100
# DEEPGRAPH_AUTO_PIPELINE_INTERVAL_SECONDS=120
# DEEPGRAPH_AUTO_RESEARCH_ENABLED=true
# DEEPGRAPH_GPU_WORKER_SLOTS=1
# DEEPGRAPH_GPU_VISIBLE_DEVICES=0
# DEEPGRAPH_GPU_DEFAULT_MODEL=NVIDIA GeForce RTX 5070
# DEEPGRAPH_GPU_DEFAULT_VRAM_GB=12
# Remote dual-card example:
# DEEPGRAPH_GPU_VISIBLE_DEVICES=0,1
# DEEPGRAPH_GPU_DEFAULT_MODEL=NVIDIA L40S
# DEEPGRAPH_GPU_DEFAULT_VRAM_GB=46
# Formal benchmark runtime overrides forwarded to SSH workers:
# DEEPGRAPH_BENCHMARK_MODEL=Qwen/Qwen2.5-14B-Instruct
# DEEPGRAPH_BENCHMARK_MAX_EXAMPLES=128
# DEEPGRAPH_BENCHMARK_SEEDS=5
# DEEPGRAPH_ALLOW_SMOKE_EXPERIMENT_VALIDATION=false

# GROBID PDF parsing (docker compose -f docker-compose.grobid.yml up -d)
# DEEPGRAPH_GROBID_URL=http://127.0.0.1:8070
# DEEPGRAPH_GROBID_TIMEOUT=300
# auto | grobid | pymupdf
# DEEPGRAPH_PDF_TEXT_BACKEND=auto

# Insight provenance / A-B testing prompts (bump when prompts change)
# DEEPGRAPH_PROMPT_VERSION=insight_v1

# Optional override for discovery categories:
# DEEPGRAPH_ARXIV_CATEGORIES=cs.AI,cs.LG,cs.CL,cs.CV,stat.ML

# Legacy SQLite only (local/testing): DEEPGRAPH_DB_PATH=./deepgraph.db
# Production runtime should set PostgreSQL + pgvector (schema: db/schema_postgres.sql, init: python -m db.pg_init):
# docker compose -f docker-compose.postgres.yml up -d
# DEEPGRAPH_DATABASE_URL=postgresql://deepgraph:deepgraph@127.0.0.1:5433/deepgraph
# Data copy: DEEPGRAPH_DATABASE_URL=... python scripts/migrate_sqlite_to_postgres.py
# Fixed idea workspace root for experiment/plan/paper partitions:
# DEEPGRAPH_IDEA_WORKSPACE_DIR=/data/deepgraph_ideas

# Manuscript: paper_orchestra (default, recommended) | legacy single-pass
DEEPGRAPH_MANUSCRIPT_BACKEND=paper_orchestra
# PaperOrchestra / literature verification — optional but lowers S2 throttling:
# DEEPGRAPH_SEMANTIC_SCHOLAR_API_KEY=
# Optional: enable PaperBanana for framework / motivation diagrams generated by PaperOrchestra.
# By default the wrapper reuses DeepGraph's main LLM as PaperBanana's text model.
# Optional override:
# DEEPGRAPH_PAPERBANANA_MAIN_MODEL=gpt-5.4
# DEEPGRAPH_PAPERBANANA_TEXT_BASE_URL=https://your-text-provider.example/v1
# DEEPGRAPH_PAPERBANANA_TEXT_API_KEY=sk-...
#
# For image generation you can either use Google / OpenRouter directly, or point
# PaperBanana at a Gemini-native gateway such as NanoBanana:
# DEEPGRAPH_PAPERBANANA_IMAGE_PROTOCOL=gemini_native
# DEEPGRAPH_PAPERBANANA_IMAGE_BASE_URL=https://your-image-provider.example
# DEEPGRAPH_PAPERBANANA_IMAGE_API_KEY=sk-...
# DEEPGRAPH_PAPERBANANA_IMAGE_MODEL=gemini-2.5-flash-image
#
# For OpenAI-compatible image gateways instead:
# DEEPGRAPH_PAPERBANANA_IMAGE_PROTOCOL=openai_compatible
# DEEPGRAPH_PAPERBANANA_IMAGE_BASE_URL=https://your-image-provider.example/v1
# DEEPGRAPH_PAPERBANANA_IMAGE_MODEL=gemini-3.1-flash-image-preview
# OPENROUTER_API_KEY=sk-or-v1-...
# GOOGLE_API_KEY=your-google-key
# DEEPGRAPH_PAPERBANANA_CMD=/home/billion-token/Deepgraph/scripts/paperbanana_wrapper.py --out {output} --spec {spec}

# Baseline reproduction (SciForge Phase 1): auto-repair rounds when the run crashes or emits no metric.
# Uses Codex CLI if available; otherwise falls back to main LLM JSON file patches. Set 0 to disable (legacy behavior).
# DEEPGRAPH_REPRODUCTION_REPAIR_MAX_ROUNDS=8

# When true: novelty must be 'novel', EvoSci must be installed, and evoscientist_workdir/final_report.md
# must exist before experiment forge / SciForge validation (auto_research respects the same gates).
# DEEPGRAPH_REQUIRE_EVOSCIENTIST_FOR_EXPERIMENTS=true