Below is a sample of my production API logs.<br/><br/>Do not tell me cost per million tokens. Tell me cost per COMPLETED task.<br/><br/>Calculate:<br/>1. Total spend across the sample<br/>2. Number of tasks that reached a successful end state<br/>3. Spend divided by successful tasks<br/>4. What share of spend went to runs that failed, were retried, or were abandoned<br/><br/>Point 4 is the number I actually want. Show your working.<br/><br/>LOGS:<br/>[paste]
Here is my token usage for the last 30 days, broken down by model.<br/><br/>Reprice it against current list rates for each of: GPT-6 Luna, GPT-6 Sol, GPT-6 Astra, Claude Opus 5.5, DeepSeek V4.1 Flash at peak and off-peak, and Grok 4.7.<br/><br/>Output a table sorted by total cost, cheapest first, with a column showing the difference against what I actually paid.<br/><br/>Note explicitly where cached input rates change the ranking, because on some workloads they do.<br/><br/>USAGE:<br/>[paste]
Analyse the prompts in these logs.<br/><br/>Identify every block of text that is repeated across many requests and is a candidate for prompt caching - system prompts, tool definitions, reference documents, few-shot examples.<br/><br/>For each: how many characters, how many times it was sent, and what it cost at full input rate versus what it would cost at cached rate.<br/><br/>Rank by money left on the table.<br/><br/>LOGS:<br/>[paste]
I want the total cost of running this agent, not just the API line.<br/><br/>From the architecture below, list every cost that is not tokens: compute for the orchestration layer, sandbox or container time, vector database queries, storage, egress, monitoring, and anything else you can identify.<br/><br/>For each, say whether it scales with number of runs, length of run, or neither.<br/><br/>If I cannot estimate one from what I have given you, say so rather than guessing.<br/><br/>ARCHITECTURE:<br/>[paste]
Below is a list of the distinct task types my agent handles, with rough volumes.<br/><br/>For each, recommend the cheapest model that will actually do it, and state the specific benchmark or capability reason.<br/><br/>Rules:<br/>1. If a task needs tool calls in a loop, do not recommend a budget tier - say why<br/>2. If a task is fully specified with no decisions, recommend the cheapest thing that handles it<br/>3. Give me the projected monthly cost of the routed setup versus running everything on one model<br/><br/>TASKS:<br/>[paste]
Search these logs for every request that was retried, and every run that consumed tokens without reaching a result.<br/><br/>Group by cause: rate limit, timeout, malformed output, tool error, model refusal, or unknown.<br/><br/>For each group: count, total tokens burned, cost.<br/><br/>Then tell me which single cause, if fixed, removes the most spend.<br/><br/>LOGS:<br/>[paste]
Here is my current monthly agent spend and volume.<br/><br/>Project the bill at 10x current volume under three scenarios:<br/>1. Prices stay flat<br/>2. My primary provider raises prices 3x, as DeepSeek did in August<br/>3. A cheaper competitor appears at half my current rate and I migrate<br/><br/>For scenario 2, tell me at what point the migration cost is worth paying.<br/><br/>State your assumptions explicitly so I can argue with them.<br/><br/>CURRENT:<br/>[paste]