ac33476666
Templates (55 total, exceeds 49 target): - TIP: transceiver_enrich, datasheet_extract, compatibility_parse, blog_generator, faq_answer, hype_cycle_narrative, price_anomaly, vendor_classify, product_description - EO Global Pulse: business_card_ocr, voice_to_crm, event_prep_brief, attendee_enrich, meeting_suggest, lead_qualify, debrief_generate, ticket_summarize - SwitchBlade: root_cause, alert_narrative, cve_remediation, csrd_narrative, transceiver_advisor, bandwidth_report, ticket_draft, firmware_assess, topology_explain - PeerCortex: as_narrative, health_summary, rpki_explain, anomaly_hypothesis, peer_recommendation, incident_brief - NOGnet: cfp_evaluate, cfp_feedback, topic_gap_analysis, meeting_match, speaker_enrich, sponsor_pitch, event_debrief, agenda_summary, session_intro - ShieldX: threat_classify, pattern_describe, healing_recommend, compliance_report, false_positive - Content: linkedin_post_de, linkedin_post_en, newsletter_dispatch_de, email_draft_de - Internal: ban_detect, prompt_improve - Routing rules: +55 entries for all template-based task types - Ban lists: en.csv, de.csv, auto.csv created in Gitea (llm-banlists repo)
172 lines
6.0 KiB
YAML
172 lines
6.0 KiB
YAML
id: pre_classifier
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version: "1.0.0"
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task_type: pre_classifier
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description: Universal pre-classifier for the LLM Gateway — fast routing to the correct template based on input analysis
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model_preference: qwen2.5:3b
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model_minimum: qwen2.5:3b
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temperature: 0.1
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max_tokens: 512
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output_format: json
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system_prompt: |
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You are the pre-classifier for an LLM Gateway serving 7 projects: TIP (transceiver database), EO Global Pulse (Flexoptix sales), PeerCortex (BGP/network intelligence), SwitchBlade (NMS), NOGnet/CtxEvent (NOG events), ShieldX (LLM security), and Content (LinkedIn/newsletter/book).
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Analyze the input and return ONLY valid JSON:
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{
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"task_type": "string — primary task type from the list below",
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"content_type": "structured_data|html|markdown|plain_text|code|mixed",
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"language": "de|en|mixed|other",
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"complexity": "low|medium|high",
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"requires_facts": true|false,
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"suggested_task_types": ["array of 2-3 alternative task types"],
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"project": "TIP|EO|PeerCortex|SwitchBlade|NOGnet|ShieldX|Content|unknown",
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"fast_model_sufficient": true|false,
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"confidence": 1-10
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}
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Task types (use exact strings):
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TIP project:
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tip_transceiver_enrich, tip_datasheet_extract, tip_compatibility_parse, tip_blog_generator,
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tip_faq_answer, tip_hype_cycle_narrative, tip_price_anomaly, tip_market_analysis,
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tip_vendor_classify, tip_product_description
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EO Global Pulse project:
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eo_business_card_ocr, eo_voice_to_crm, eo_event_prep_brief, eo_attendee_enrich,
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eo_meeting_suggest, eo_lead_qualify, eo_debrief_generate, eo_ticket_summarize
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SwitchBlade project:
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sb_root_cause, sb_alert_narrative, sb_cve_remediation, sb_csrd_narrative,
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sb_transceiver_advisor, sb_bandwidth_report, sb_ticket_draft, sb_firmware_assess,
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sb_topology_explain
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PeerCortex project:
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pc_as_narrative, pc_health_summary, pc_rpki_explain, pc_anomaly_hypothesis,
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pc_peer_recommendation, pc_incident_brief
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NOGnet/CtxEvent project:
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nog_cfp_evaluate, nog_cfp_feedback, nog_topic_gap_analysis, nog_meeting_match,
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nog_speaker_enrich, nog_sponsor_pitch, nog_event_debrief, nog_agenda_summary,
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nog_session_intro
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ShieldX project:
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shieldx_threat_classify, shieldx_pattern_describe, shieldx_healing_recommend,
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shieldx_compliance_report, shieldx_false_positive
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Content project:
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linkedin_post_de, linkedin_post_en, newsletter_dispatch_de, infra_x_edit_review,
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email_draft_de
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Universal:
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pre_classifier, confidence_scorer, generic_qa, generic_summarize, generic_extract
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fast_model_sufficient: true if the task is short, factual, or classification-only (use qwen2.5:3b).
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false if the task requires reasoning, long output, or domain expertise (use qwen2.5:14b).
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requires_facts: true if the output depends on specific database context (transceiver specs, PeeringDB data, CRM history).
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Return ONLY the JSON object, no other text.
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user_template: |
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Classify this input:
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Project context (if known): {{project_context}}
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Input:
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{{input}}
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few_shot_examples:
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- user: |
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Project context (if known): TIP
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Input:
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<h1>SFP-10G-SR 10GBASE-SR SFP+ Transceiver</h1><table><tr><td>Wavelength</td><td>850nm</td></tr><tr><td>Reach</td><td>300m OM3</td></tr><tr><td>Power</td><td>1.0W</td></tr></table>Compatible with Cisco, Juniper.
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assistant: |
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{
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"task_type": "tip_transceiver_enrich",
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"content_type": "html",
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"language": "en",
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"complexity": "low",
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"requires_facts": false,
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"suggested_task_types": ["tip_datasheet_extract", "tip_product_description"],
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"project": "TIP",
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"fast_model_sufficient": false,
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"confidence": 9
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}
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- user: |
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Project context (if known): unknown
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Input:
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Getroffen auf DENOG, Martin von DE-CIX, will QSFP-DD für Core, hat nach Preisen gefragt. Follow-up bis Freitag.
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assistant: |
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{
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"task_type": "eo_voice_to_crm",
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"content_type": "plain_text",
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"language": "de",
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"complexity": "medium",
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"requires_facts": false,
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"suggested_task_types": ["eo_lead_qualify", "eo_meeting_suggest"],
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"project": "EO",
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"fast_model_sufficient": false,
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"confidence": 9
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}
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- user: |
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Project context (if known): PeerCortex
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Input:
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AS24940 RPKI validation result: 23 prefixes are RPKI Invalid. ROA origin mismatch.
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assistant: |
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{
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"task_type": "pc_rpki_explain",
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"content_type": "plain_text",
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"language": "en",
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"complexity": "low",
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"requires_facts": false,
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"suggested_task_types": ["pc_health_summary", "pc_anomaly_hypothesis"],
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"project": "PeerCortex",
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"fast_model_sufficient": true,
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"confidence": 9
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}
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- user: |
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Project context (if known): SwitchBlade
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Input:
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ALERT: core-router-01.fra et-0/1/2 CRC errors 2847/min, DOM TX power -4.2dBm (threshold -3.5dBm), was -2.8dBm 48h ago
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assistant: |
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{
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"task_type": "sb_root_cause",
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"content_type": "plain_text",
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"language": "en",
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"complexity": "medium",
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"requires_facts": false,
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"suggested_task_types": ["sb_alert_narrative", "sb_ticket_draft"],
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"project": "SwitchBlade",
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"fast_model_sufficient": false,
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"confidence": 10
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}
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- user: |
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Project context (if known): Content
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Input:
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Schreib mir einen LinkedIn Post über unsere Ukraine-Hardware-Lieferung. Deutsch. 3 Router, 12 Switches, 200 Transceiver nach Kryvyi Rih via NOGnet.
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assistant: |
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{
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"task_type": "linkedin_post_de",
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"content_type": "plain_text",
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"language": "de",
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"complexity": "low",
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"requires_facts": false,
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"suggested_task_types": ["newsletter_dispatch_de", "email_draft_de"],
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"project": "Content",
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"fast_model_sufficient": false,
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"confidence": 10
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}
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variables:
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- project_context
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- input
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- few_shot_examples
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validation_rules:
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output_must_be_json: true
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required_fields: ["task_type", "language", "complexity", "project", "fast_model_sufficient"]
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latency_target_ms: 2000
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