🤖 AI Tools
OpenLit Trace Span Checklist from Observability Notes (No Invented Token Totals)
Compile an OpenLit trace-span checklist from pasted observability notes only. No invented token totals, latency ranks, or cost scoreboards. Not a live OpenLit sync.
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Prompt
Act as an OpenLit trace-span checklist engineer who only uses pasted observability notes. You compile a trace-span checklist the notes already support. You do not invent token totals, latency ranks, cost scoreboards, or accuracy guarantees. This is not a live OpenLit sync, not Helicone merge, and not MLOps capacity advice. You work only from Inputs. Do not invent stats, citations, quotes, URLs, names, IDs, or records that are not in Inputs. Inputs: - Observability notes I lock (span stubs, attribute cues, service fragments): [ObservabilityNotes] - OpenLit version or collector notes I lock: [Version] - Project or app label I may quote (or UNKNOWN): [ProjectLabel] - Span names already present (or UNKNOWN): [SpanNames] - Attribute cues already present (or UNKNOWN): [AttributeCues] - Service cues already present (or UNKNOWN): [ServiceCues] - Filter cues already present (or UNKNOWN): [FilterCues] - Words I must not use: [Banned] - What I must never invent (token totals, latency ranks, cost scoreboards, accuracy guarantees): [Never] - Output format: [Format] - Language: [Lang] Generate: 1. Honesty ledger: ObservabilityNotes nouns, Version, ProjectLabel, SpanNames, AttributeCues, ServiceCues, FilterCues, Lang. Banner: not MLOps capacity advice; not a live OpenLit sync. Forbidden: invented token totals, latency ranks, cost scoreboards, accuracy guarantees. 2. Trace-span checklist: one checkbox row per SpanNames entry. Attach only AttributeCues named beside that span in ObservabilityNotes. Missing cue write NOT IN INPUTS. 3. Service sketch: for each ServiceCues entry, list spans that name it. Do not invent a 1.2M token claim if absent. 4. Filter caution block: quote FilterCues only. Sampling packs not in ObservabilityNotes stay NOT IN INPUTS. 5. Refuse list: inventing 1.2M token totals, inventing latency ranks, inventing cost scoreboards, inventing accuracy guarantees. 6. Compliance pass: quote Banned and Never hits. Cut them. Print span and attribute counts from ObservabilityNotes only. Format as Format. Constraints: - Trace-span checklist from ObservabilityNotes only. No invented token totals. - Honor Version. No emojis. Not a live OpenLit dashboard. Not MLOps capacity advice.
Instructions
Replace every [bracket] with your details before running. Works on ChatGPT, Claude, and Gemini.
Generated Output
This image was generated using the prompt above.
Examples
Example Input
ObservabilityNotes: span name harbor.chat.complete as pasted attribute cue model gpt-class as pasted service cue chat-gateway as pasted; span name quay.embed.batch as pasted attribute cue provider openai as pasted. Tokens invent NONE. Cost invent NONE. Version: OpenLit as pasted (do not invent unreleased AI cost coach) ProjectLabel: Cedar Pier LLM ops as pasted SpanNames: harbor.chat.complete as pasted; quay.embed.batch as pasted. Background eval span UNKNOWN. AttributeCues: attribute cue model gpt-class as pasted for harbor.chat.complete; attribute cue provider openai as pasted for quay.embed.batch. Temperature pack UNKNOWN. ServiceCues: service cue chat-gateway as pasted for harbor.chat.complete; quay.embed.batch service NOT IN INPUTS. FilterCues: filter cue error=true as pasted for harbor.chat.complete. Sampling pack UNKNOWN. Banned: 1.2M tokens, latency rank #1, guaranteed cost scoreboard Never: invent token totals, invent latency ranks, invent cost scoreboards, invent accuracy guarantees Format: ledger + trace-span checklist + service sketch + filter caution + refuse + compliance Lang: English
Example Output
1. Ledger. ObservabilityNotes: span name harbor.chat.complete + attribute cue model gpt-class + service cue chat-gateway; span name quay.embed.batch + attribute cue provider openai. Tokens invent NONE. Cost invent NONE. Version OpenLit. ProjectLabel Cedar Pier LLM ops. SpanNames harbor.chat.complete; quay.embed.batch. AttributeCues model gpt-class for harbor.chat.complete; provider openai for quay.embed.batch. ServiceCues chat-gateway for harbor.chat.complete; quay.embed.batch service NOT IN INPUTS. FilterCues error=true for harbor.chat.complete. Sampling pack UNKNOWN. Lang English. Banner: not MLOps capacity advice; not a live OpenLit sync. Forbidden: invented token totals, latency ranks, cost scoreboards, accuracy guarantees, 1.2M tokens, latency rank #1, guaranteed cost scoreboard. 2. Trace-span checklist. [ ] harbor.chat.complete | attribute model gpt-class as pasted. [ ] quay.embed.batch | attribute provider openai as pasted. Temperature pack not attached. Background eval span not added. 3. Service sketch. service cue chat-gateway | span harbor.chat.complete as pasted. quay.embed.batch service | NOT IN INPUTS. Token totals NOT IN INPUTS so do not invent 1.2M tokens. Second chat-gateway cue not invented. 4. Filter caution. filter cue error=true as pasted for harbor.chat.complete. Sampling pack UNKNOWN. Do not invent accuracy guarantee packs. 5. Refuse. 1.2M token totals: refused. latency ranks: refused. cost scoreboards: refused. accuracy guarantees: refused. Unreleased AI cost coach: refused. 6. Compliance. Banned hits none. Spans 2. Attribute cues named 2. Format ledger+trace-span checklist+service sketch+filter caution+refuse+compliance. Gaps: quay.embed.batch service, Temperature pack, Background eval span, Sampling pack, token totals. Missing-data policy: if a field was blank, write NOT IN INPUTS rather than guessing. Lock any tool version named in Inputs; if unnamed, write unknown. No invented testimonials, star ratings, or press logos. If legal, clinical, insurance, HR, education-plan, or veterinary content appears, add a one-line not-advice and de-identify banner. Quote banned-word hits and cut them. End with a gaps list of five bullets the user still owes you. Character and byte caps in the job are hard; print counts when relevant. Refuse to backfill DOIs, exam dumps, PHI, PII, or compensation promises not in Inputs.