---
license: apache-2.0
pretty_name: CC Traces — Weka, No-Subagents, v5 only (May 18 2026)
task_categories:
  - text-generation
tags:
  - llm
  - inference
  - benchmarking
  - kv-cache
  - agentic
  - multi-turn
  - claude
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: traces.jsonl
---

# CC Traces — Weka, No-Subagents, v5 only (May 18 2026)

A collection of **98 multi-turn agentic traces** (≈ 22.8 k individual
model requests) drawn from real production traffic against the Claude
Code CLI ≥ 2.1.139. Each trace captures the full request/response
sequence of a single agent session, including per-request KV block
hashes, so the dataset can be replayed against an inference engine or
used to simulate prefix-cache behavior offline.

**No-subagents, v5-only, CC ≥ 2.1.139 variant.** Three filters:

1. **No subagents.** All `WekaSubagentEntry` blocks have been stripped —
   only top-level main-agent turns remain.
2. **v5 only.** Every replayable request in every included session has
   `trace_version = 5` (latest proxy schema, o200k_base tokenizer).
3. **Claude Code CLI ≥ 2.1.139.** Every successful request in every
   included session is on a CC build that ships the
   `x-claude-code-agent-id` HTTP header — the canonical signal sub-agent
   grouping depends on. Sessions where any row predates this header
   are excluded entirely because we can't reliably distinguish a
   Task-tool sub-agent from a utility call without it.

Each remaining trace has **≥ 20 main-agent turns** post-strip so every
trace exercises multi-turn replay meaningfully.

Companion: [`cc-traces-weka-051826`](https://huggingface.co/datasets/semianalysisai/cc-traces-weka-051826)
is the same 98 traces with sub-agent fan-out preserved.

- **Traces:** 98
- **Requests:** 22,822 total, mean **232.9** per trace, max **2,171**
- **Models:** `claude-opus-4-7`, `claude-opus-4-6`, `claude-sonnet-4-6`
- **KV block size:** 64 tokens
- **Hash scope:** `local`

## Tokenizer caveat

The `in` field and `hash_ids` are measured in the proxy's tokenizer
(`o200k_base`, GPT-4o family). Anthropic typically reports ~60 % of the
o200k token count for the same content — so ISL numbers below are
larger than what Anthropic would bill for the same prompt, but
self-consistent between `in` and `hash_ids` for cache-hit simulation.

## Summary statistics

|                              |   p50    |   p75    |   p90    |   p95    |   p99    |   mean   |
|------------------------------|---------:|---------:|---------:|---------:|---------:|---------:|
| ISL (tokens)                 |  181,474 |  338,879 |  525,701 |  664,749 |  838,501 |  240,502 |
| OSL (tokens)                 |      212 |      569 |    1,455 |    2,499 |    6,528 |      623 |
| `think_time` (s)             |     0.98 |     2.71 |    12.45 |    71.64 |   448.24 |    92.32 |
| Turn depth (requests/trace)  |      110 |      300 |      568 |      730 |    1,119 |      233 |

![Distributions — log x](plots/distributions_log.png)
![Distributions — linear x](plots/distributions_linear.png)

## Model composition

| model | requests |
|-------|---------:|
| `claude-opus-4-7` | 22,484 |
| `claude-opus-4-6` | 302 |
| `claude-sonnet-4-6` | 36 |

## Source

Derived from the SemiAnalysis Claude Code traffic proxy. Build pipeline:

  1. `utils/sample_proxy_traces.py --min-trace-version 5 --min-main-turns 20 --require-cli-min 2.1.139 --privacy-mode anon`
  2. `utils/proxy_to_weka.py` converts per-session JSONL into weka-format
     trace JSON. Sub-agent grouping is identical to the
     [proxy dashboard's `buildRequestRuns`](https://github.com/SemiAnalysisAI/semianalysis-claude-code-proxy/blob/main/packages/app/src/lib/subagent-runs.ts).
  3. Post-step strips all `WekaSubagentEntry` blocks; traces with <20
     surviving main turns are dropped (none dropped at this build).
  4. Remaining traces concatenated into `traces.jsonl` (one trace per line).