# Technical Document: Token Usage and Function Calls Analysis
## 1. Document Overview
This document provides a comprehensive extraction of data from a line graph titled **"Token Usage and Function Calls in a Train Booking System Dialog Session."** The chart tracks the accumulation of tokens and the execution of specific API function calls across 14 sequential dialog turns.
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## 2. Chart Metadata and Structure
* **Title:** Token Usage and Function Calls in a Train Booking System Dialog Session
* **X-Axis Label:** Dialog Turn (Values: 1 to 14)
* **Y-Axis Label:** Token Count (Scale: 0 to 4000, increments of 500)
* **Legend Location:** Top-left [approx. x=0.1, y=0.9 relative to plot area]
* **Legend Categories:**
* **Prompt Tokens:** Represented by a yellow line with solid circle markers (●).
* **Completion Tokens:** Represented by a green line with open circle markers (○).
* **Total Tokens:** Represented by a red line with open triangle markers (△).
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## 3. Component Isolation & Trend Analysis
### A. Total Tokens (Red Line / Triangle Markers)
* **Trend:** Shows a sharp initial spike between Turn 1 and Turn 2, followed by a steady, monotonic upward slope. This indicates a cumulative context window where previous turns are retained in the prompt.
* **Data Points (Annotated in Red Text):**
1. Turn 1: 418
2. Turn 2: 2013
3. Turn 3: 2051
4. Turn 4: 2262
5. Turn 5: 2351
6. Turn 6: 2511
7. Turn 7: 2542
8. Turn 8: 2730
9. Turn 9: 2763
10. Turn 10: 2988
11. Turn 11: 3043
12. Turn 12: 3284
13. Turn 13: 3608
14. Turn 14: 3644
### B. Prompt Tokens (Yellow Line / Solid Circle Markers)
* **Trend:** Closely mirrors the "Total Tokens" line, sitting just below it. This confirms that the vast majority of the token budget is consumed by the prompt (input/context) rather than the model's response.
### C. Completion Tokens (Green Line / Open Circle Markers)
* **Trend:** Remains consistently low, fluctuating between approximately 20 and 150 tokens per turn. This indicates the model's outputs (function calls or short text) are concise.
* **Visual Peaks:** Notable small peaks occur at Turn 2, Turn 8, Turn 10, and Turn 13.
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## 4. Function Call Transcription
Specific function calls are annotated at various turns, connected to the data points by vertical dashed grey lines.
| Turn | Function Call (Transcribed Precisely) |
| :--- | :--- |
| 1 | `handoff_buy_train_ticket({})` |
| 3 | `search_railway_station({'query': 'Genova'})` |
| 5 | `search_railway_station({'query': 'Genova', 'page': 2})` |
| 7 | `search_railway_station({'query': 'Roma'})` |
| 9 | `search_railway_station({'query': 'Roma', 'page': 2})` |
| 11 | `get_date_time({'timezone': 'Europe/Rome'})` |
| 13 | `buy_train_ticket({...})` |
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## 5. Data Table Reconstruction
| Dialog Turn | Prompt Tokens (Est.) | Completion Tokens (Est.) | Total Tokens (Actual) | Function Call Triggered |
| :--- | :--- | :--- | :--- | :--- |
| 1 | 400 | 18 | **418** | handoff_buy_train_ticket |
| 2 | 1930 | 83 | **2013** | - |
| 3 | 2030 | 21 | **2051** | search_railway_station (Genova) |
| 4 | 2220 | 42 | **2262** | - |
| 5 | 2290 | 61 | **2351** | search_railway_station (Genova, p2) |
| 6 | 2430 | 81 | **2511** | - |
| 7 | 2520 | 22 | **2542** | search_railway_station (Roma) |
| 8 | 2630 | 100 | **2730** | - |
| 9 | 2740 | 23 | **2763** | search_railway_station (Roma, p2) |
| 10 | 2890 | 98 | **2988** | - |
| 11 | 3020 | 23 | **3043** | get_date_time |
| 12 | 3230 | 54 | **3284** | - |
| 13 | 3440 | 168 | **3608** | buy_train_ticket |
| 14 | 3620 | 24 | **3644** | - |
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## 6. Language Declaration
The primary language of the document is **English**.
The function calls contain Italian geographic names:
* **Genova** (English: Genoa)
* **Roma** (English: Rome)
* **Europe/Rome** (Timezone identifier)
