DATA
6de0bf9f5b
Vendored deer-flow upstream (bytedance/deer-flow) plus prompt-injection hardening: - New deerflow.security package: content_delimiter, html_cleaner, sanitizer (8 layers — invisible chars, control chars, symbols, NFC, PUA, tag chars, horizontal whitespace collapse with newline/tab preservation, length cap) - New deerflow.community.searx package: web_search, web_fetch, image_search backed by a private SearX instance, every external string sanitized and wrapped in <<<EXTERNAL_UNTRUSTED_CONTENT>>> delimiters - All native community web providers (ddg_search, tavily, exa, firecrawl, jina_ai, infoquest, image_search) replaced with hard-fail stubs that raise NativeWebToolDisabledError at import time, so a misconfigured tool.use path fails loud rather than silently falling back to unsanitized output - Native client back-doors (jina_client.py, infoquest_client.py) stubbed too - Native-tool tests quarantined under tests/_disabled_native/ (collect_ignore_glob via local conftest.py) - Sanitizer Layer 7 fix: only collapse horizontal whitespace, preserve newlines and tabs so list/table structure survives - Hardened runtime config.yaml references only the searx-backed tools - Factory overlay (backend/) kept in sync with deer-flow tree as a reference / source See HARDENING.md for the full audit trail and verification steps.
103 lines
3.5 KiB
JSON
103 lines
3.5 KiB
JSON
[
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{
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"query": "Survey transformer attention variants published in the last 2 years on arXiv cs.CL",
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"should_trigger": true,
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"rationale": "Explicit survey request with scope and category"
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},
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{
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"query": "What methods do recent papers use for few-shot learning in vision-and-language? Give me 15 papers in BibTeX.",
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"should_trigger": true,
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"rationale": "Multi-paper synthesis with count and format spec"
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},
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{
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"query": "Review the literature on retrieval-augmented generation — key findings, limitations, and open questions",
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"should_trigger": true,
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"rationale": "Classic SLR phrasing with explicit synthesis structure"
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},
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{
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"query": "Compare evaluation frameworks used across LLM hallucination detection papers",
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"should_trigger": true,
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"rationale": "Cross-paper comparison implies multi-paper synthesis"
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},
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{
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"query": "Summarize recent work on Monte Carlo methods for mortgage risk — last 3 years",
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"should_trigger": true,
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"rationale": "Domain-specific SLR with time window"
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},
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{
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"query": "Annotated bibliography on agentic tool use, 20 papers, IEEE format",
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"should_trigger": true,
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"rationale": "Annotated bibliography is an SLR variant"
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},
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{
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"query": "What does the literature say about RLHF?",
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"should_trigger": true,
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"rationale": "No 'systematic' keyword but 'the literature' clearly implies multi-paper synthesis"
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},
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{
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"query": "Give me an overview of diffusion model papers since 2022",
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"should_trigger": true,
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"rationale": "Time range + 'papers' implies breadth-first survey"
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},
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{
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"query": "Are there papers comparing RAG and fine-tuning?",
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"should_trigger": true,
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"rationale": "Comparison query across papers implies synthesis"
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},
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{
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"query": "Do a systematic literature review on graph neural networks for drug discovery, APA format",
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"should_trigger": true,
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"rationale": "Explicit SLR request with format"
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},
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{
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"query": "Review this paper: https://arxiv.org/abs/2310.06825",
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"should_trigger": false,
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"rationale": "Single paper URL -> should route to academic-paper-review"
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},
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{
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"query": "What is attention in transformers?",
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"should_trigger": false,
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"rationale": "Factual question, no multi-paper synthesis needed"
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},
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{
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"query": "Search for news about AI regulation",
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"should_trigger": false,
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"rationale": "General web search, not academic literature review"
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},
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{
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"query": "Summarize this PDF [attached]",
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"should_trigger": false,
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"rationale": "Single document summary, not literature review"
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},
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{
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"query": "Write me a Python function to parse BibTeX files",
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"should_trigger": false,
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"rationale": "Coding task, not research"
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},
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{
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"query": "What is the capital of France?",
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"should_trigger": false,
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"rationale": "Factual question, no research needed"
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},
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{
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"query": "Help me debug this error in my React app",
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"should_trigger": false,
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"rationale": "Debugging task, not literature review"
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},
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{
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"query": "Translate this paragraph to Chinese",
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"should_trigger": false,
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"rationale": "Translation task"
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},
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{
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"query": "Explain the difference between CNN and RNN",
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"should_trigger": false,
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"rationale": "Conceptual explanation, not multi-paper synthesis"
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},
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{
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"query": "Find me the best paper on reinforcement learning",
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"should_trigger": false,
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"rationale": "Singular 'best paper' implies one result, not a survey across many"
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}
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]
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