| tags: | |
| - agent-traces | |
| - literal-tokens | |
| # Agent trace dataset | |
| ## Decoding the literal token IDs | |
| The `prompt_token_ids` / `completion_token_ids` / `logprobs` columns are the | |
| verbatim tokens the serving engine emitted, stored PER AGENT STEP as a | |
| list-of-lists (one inner list per turn). To turn them back into text you MUST | |
| use the exact tokenizer the model was served with — a generic same-family | |
| tokenizer will decode word tokens to garbage. | |
| Served model / tokenizer source: `Qwen/Qwen3.5-122B-A10B-FP8` | |
| ```python | |
| from transformers import AutoTokenizer | |
| # Use the served model's own tokenizer (pull from the ref above; if it is a | |
| # gs:// mirror, copy tokenizer.json/tokenizer_config.json/vocab.json/merges.txt | |
| # locally first and point AutoTokenizer at that dir). | |
| tok = AutoTokenizer.from_pretrained("Qwen/Qwen3.5-122B-A10B-FP8") | |
| # token_ids are list-of-lists (one list per turn) — decode each turn: | |
| text = [tok.decode(turn, skip_special_tokens=False) for turn in completion_token_ids] | |
| ``` | |
| Engine-reported served model name: `1500772956264735` | |
| See `tokenizer_provenance.json` for a machine-readable version. | |