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Pigpt-6-sol

Run ID: pi-gpt-6-sol-high-20261024-1041
Time Elapsed
27m
Total wall-clock duration
Estimated Cost
$1.72
Total run cost (USD)
Plan Completion
7/7
100% of checkpoints done
Number of Tests
17/17
100% passed (39s)
Number of Commits
8
Git checkpoints recorded

Plan Completion (7/7)

View Stage Specs
  • S1 β€” Completed
    Launch the CLI
  • S2 β€” Completed
    Validate arguments
  • S3 β€” Completed
    Send one bounded GET
  • S4 β€” Completed
    Run a paced five-second loop
  • S5 β€” Completed
    Report outcomes and exit codes
  • S6 β€” Completed
    Report timing
  • S7 β€” Completed
    Handle Ctrl-C

Command / Interface Used

cli
pi --mode json --provider openai-codex --model gpt-6-sol --thinking high --tools read,bash,edit,write --no-extensions --no-skills --no-prompt-templates --no-themes --no-mcp --no-approve --session-dir ./records @PROMPT.md

Run window: 10:41–11:13 (27m active) β€’ Session 01a16c00-238b-722c-8c55-fe53ae734604 (openai-codex / gpt-6-sol, 1 user message)

Token & Context Usage

Input (Uncached)
96.8k
Cached Input
5.54M
Output Tokens
41.9k
incl. 15.8k thinking
Total Tokens
5.67M
incl. cached reads
Cache Hit Rate
98.28%
Formula: CacheRead / (input + cacheRead + cacheWrite)
Context Window Usage
74.4k peak (1,753 β†’ 74,400 tokens)

Calls & Tool Breakdown

LLM API Calls
160
completed agent_response steps
Tool Calls
165
133 DONE β€’ 32 ERROR
  • bash
    77(51 DONE, 26 ERROR)
  • edit
    70(64 DONE, 6 ERROR)
  • read
    11(11 DONE)
  • write
    7(7 DONE)

Estimated Cost Breakdown

Token volume and estimated cost breakdown comparing 2026 and 2027 pricing rates
ComponentTokensRate (2026)Cost (2026 Rate)Rate (2027)Cost (2027 Rate)
Input (uncached)96,768$2.00 / 1M$0.193536β€”β€”
Cached (cacheRead)5,536,000$0.20 / 1M$1.107200β€”β€”
Output (incl. reasoning)41,937$10.00 / 1M$0.419370β€”β€”
Total5,674,705β€”$1.72 ($1.720106)β€”β€”

Git Commits (8)

* 686de69  (6 minutes)  <Riza Fahmi>   Verify terminal Ctrl-C and release checks
* 7a7bd5b  (8 minutes)  <Riza Fahmi>   Verify response latencies and elapsed time
* aea5130  (8 minutes)  <Riza Fahmi>   Verify status accounting and exit codes
* d97a971  (9 minutes)  <Riza Fahmi>   Verify paced dispatch and deadline boundaries
* c9f2cfb  (10 minutes)  <Riza Fahmi>   Verify streamed HTTP and trusted TLS requests
* db2dc87  (10 minutes)  <Riza Fahmi>   Verify argument errors and reject malformed URLs
* 35084a9  (10 minutes)  <Riza Fahmi>   Launch executable CLI with bounded OTP request engine
* 8414289  (10 minutes)  <Riza Fahmi>   Document V1 benchmark contract and preparation

Notes & Key Findings

4 findings
  1. Retroactive Git History vs. Actual Workflow4 points
    • What was requested: PROMPT.md and AGENTS.md asked the agent to work through PLAN.md one slice at a time (S0–S7), adding one failing test at a time, marking [x], and committing after each task.
    • The agent spent the first 22.5 minutes (lines 1–301, 150 LLM calls) building and debugging the entire codebase with zero git commits.
    • It frequently wrote full implementations before testsβ€”for example, writing all 219 lines of request.ex (line 51) before request_test.exs (line 53), and writing runner.ex (line 79) before runner_test.exs (line 85).
    • In the final 4 minutes (lines 311–325), it ran Python scripts to uncheck and re-check PLAN.md slice-by-slice and create 8 sequential commits. Because all of lib/ was already committed in S1 (35084a9), the final 3 commits (S5–S7) only touched PLAN.md.
  2. Two Subtle Systems Bugs Consumed ~40% of the Run4 points
    • Out of 32 failed tool results (isError: true), almost all stemmed from two subtle OS/BEAM interactions:
    • 1. A FIFO Deadlock in :file_server_2 Disguised as a TLS Bug (Lines 97, 151–203, 245–251) Because the BEAM intercepts SIGINT for its BREAK menu, the agent created a wrapper script cb that created a named pipe (mkfifo) via CB_INTERRUPT_FIFO and spawned a watcher in cli.ex calling File.read(fifo) (line 97). In Erlang/OTP, File.read/1 routes through :file_server_2, and opening a FIFO with no writer blocked the entire BEAM file server. When testing HTTPS with CB_CA_CERT_FILE via ./cb (lines 154–190, 10 consecutive failing test runs), File.read!(ca_file) inside request.ex hung waiting on :file_server_2, causing every CLI HTTPS request to time out after 6s even though direct CapyBench.Request.get/1 calls succeeded. At line 193, the agent replaced File.read(fifo) with Port.open spawning /bin/cat <fifo>, fixing TLSβ€”only to discover at line 245 (ps -ef) that every non-interrupted run leaked an orphaned /bin/cat process, requiring another round of wrapper cleanup (lines 247–251).
    • 2. Sandbox PTY Restrictions on Ctrl-C Testing (Lines 39–40, 145, 223–237) Python's pty.openpty() failed with PermissionError: [Errno 1] Operation not permitted inside the sandbox (lines 40 & 145). The agent bypassed this at line 223 by using macOS /usr/bin/script -q /dev/null ./cb ... to allocate a pseudo-TTY and send \x03.
    • 3. Edit Tool Mismatches (6 errors) 6 of the 32 tool errors were edit calls failing due to non-unique or mismatched oldText (lines 120, 198, 210, 270, 282, 294).
  3. Prompt Caching Saved 85% of the Run Cost ($9.97 Saved)3 points
    • 98.28% Cache Hit Rate Out of 5,632,768 total input tokens across 160 turns, 5,536,000 were served from cache (cacheRead) with zero cache invalidations/drops as the context grew steadily from 1,753 tokens (turn 1) to 74,400 tokens (turn 160).
    • Implied Unit Pricing & Savings: Uncached Input: $2.00 / 1M tokens β€’ Cached Input (cacheRead): $0.20 / 1M tokens (90% discount) β€’ Output: $10.00 / 1M tokens.
    • Without prefix caching, this run would have cost $11.69 instead of $1.72.
  4. Latency Split, Tool Batching, and Reasoning Profile3 points
    • 50/50 LLM vs. Tool Wall-Clock Split: Total wall-clock time: 26m 59s (1,619.3s). LLM inference time: 13m 41s (820.5s, 50.7%), averaging 5.13s/turn (min 1.10s, max 25.52s when writing request.ex). Tool execution time: 13m 19s (798.8s, 49.3%), dominated by repeated mix escript.build and mix test runs containing multi-second benchmark/timeout sleeps.
    • Almost Zero Tool Parallelism: Out of 159 toolUse turns, 157 turns called only a single tool (only the first 2 exploration turns batched 4 tool calls).
    • Selective Reasoning despite thinkingLevel: "high" Reasoning tokens averaged just 98.7 tokens/turn (15,787 total, 37.6% of output tokens). 46 of 160 turns (28.8%) used 0 reasoning tokens (primarily firing mix format && mix test immediately after an edit), while complex debugging/verification turns spiked up to 1,258 reasoning tokens (line 287).