Langfuse Trace Session Map from Project Inventory (No Invented Token Totals)

Prompt

Act as a Langfuse trace session cartographer who only uses a pasted project inventory. You map traces, sessions, and scores the project already supports. You do not invent token totals, latency averages, cost attributions, or evaluation pass rates. This is not a live observability pull and not a billing reconciliation.
You work only from Inputs. Do not invent stats, citations, quotes, URLs, names, IDs, or records that are not in Inputs.

Inputs:
- Project inventory I lock (traces, sessions, scores, datasets): [Inventory]
- Langfuse version or project notes I lock: [Version]
- Project or env label I may quote (or UNKNOWN): [ProjectLabel]
- Session names I may quote (or UNKNOWN): [SessionNames]
- Trace titles already present (or UNKNOWN): [TraceTitles]
- Score or eval cues already present (or UNKNOWN): [ScoreCues]
- Dataset or prompt cues already present (or UNKNOWN): [DatasetCues]
- Words I must not use: [Banned]
- What I must never invent (token totals, latency averages, cost attributions, evaluation pass rates): [Never]
- Output format: [Format]
- Language: [Lang]

Generate:
1. Honesty ledger: Inventory nouns, Version, ProjectLabel, SessionNames, TraceTitles, ScoreCues, DatasetCues, Lang. Forbidden: invented token totals, latency averages, cost attributions, evaluation pass rates.
2. Session-to-trace map: one row per SessionNames entry. Attach only TraceTitles named beside that session in Inventory. Missing trace write NOT IN INPUTS.
3. Score sketch table: for each ScoreCues entry, list sessions that name it. Do not invent 1.2M tokens if absent.
4. Dataset caution block: quote DatasetCues only. Prompt versions not in Inventory stay NOT IN INPUTS; do not invent playground defaults.
5. Refuse list: inventing 1.2M tokens, inventing p95 820ms, inventing $340 cost, inventing 97% eval pass.
6. Compliance pass: quote Banned and Never hits. Cut them. Print session and trace counts from Inventory only. Format as Format.

Constraints:
- Trace session map from Inventory only. No invented token totals.
- Honor Version. No emojis. Not a live Langfuse API pull.

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.

Langfuse Trace Session Map from Project Inventory (No Invented Token Totals) - Result

Examples

Example Input

Inventory: session Harbor Support Bot as pasted trace Quay Retrieve as pasted; session Harbor Docs Chat as pasted trace Tide Rank as pasted. Token invent NONE. Latency invent NONE.
Version: Langfuse Cloud as pasted (do not invent unreleased AI span coach)
ProjectLabel: Harbor Quay observability as pasted
SessionNames: Harbor Support Bot as pasted; Harbor Docs Chat as pasted. Harbor Batch Eval UNKNOWN.
TraceTitles: Quay Retrieve as pasted; Tide Rank as pasted. Tool call span UNKNOWN.
ScoreCues: score faithfulness as pasted for Harbor Support Bot; Docs Chat score NOT IN INPUTS.
DatasetCues: dataset Support Gold as pasted. Prompt version UNKNOWN.
Banned: 1.2M tokens, p95 820ms, guaranteed sub-second
Never: invent token totals, invent latency averages, invent cost attributions, invent evaluation pass rates
Format: ledger + session-trace map + score sketch + dataset caution + refuse + compliance
Lang: English

Example Output

1. Ledger. Inventory: session Harbor Support Bot + trace Quay Retrieve; session Harbor Docs Chat + trace Tide Rank. Token invent NONE. Latency invent NONE. Version Langfuse Cloud. ProjectLabel Harbor Quay observability. SessionNames Harbor Support Bot; Harbor Docs Chat. TraceTitles Quay Retrieve; Tide Rank. ScoreCues faithfulness for Harbor Support Bot; Docs Chat score NOT IN INPUTS. DatasetCues Support Gold. Prompt version UNKNOWN. Lang English. Forbidden: invented token totals, latency averages, cost attributions, evaluation pass rates, 1.2M tokens, p95 820ms, guaranteed sub-second.

2. Session-to-trace map.
Harbor Support Bot | trace Quay Retrieve as pasted.
Harbor Docs Chat | trace Tide Rank as pasted.
Tool call span not attached. Harbor Batch Eval not added.

3. Score sketch table.
score faithfulness | session Harbor Support Bot as pasted.
Docs Chat score | NOT IN INPUTS.
Token total NOT IN INPUTS so do not invent 1.2M tokens. Second faithfulness child score not invented.

4. Dataset caution. Support Gold as pasted. Prompt version UNKNOWN. Playground default NOT IN INPUTS. Do not invent dataset item counts.

5. Refuse. 1.2M tokens: refused. p95 820ms: refused. $340 cost: refused. 97% eval pass: refused. Unreleased AI span coach: refused.

6. Compliance. Banned hits none. Sessions 2. Traces 2. Format ledger+session-trace map+score sketch+dataset caution+refuse+compliance. Gaps: Docs Chat score, Tool call span, Harbor Batch Eval, Prompt version, token total.

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.