Cost prediction

Cost prediction

python3 -m predictor.predict "$ARGUMENTS" --models single --repo-path "$(pwd)" 2>/dev/null \
  || echo "WARNING: synaxi-predict not installed — restart Claude Code to trigger setup"

Parse the block above. Store internally:

• PRED_ID — 8-char hex from the Prediction ID: line (none if prediction failed)
• PREDICT_BIN — path to the predict binary used (derive siblings from dirname)
• REPO_PATH — $(pwd) used in the prediction command above

Write prediction state so the recording step can find it later:

mkdir -p /tmp/synaxi
printf '{"pred_id":"%s","repo_path":"%s","predict_bin":"%s"}\n' \
  "PRED_ID" "REPO_PATH" "PREDICT_BIN" \
  > /tmp/synaxi_${CLAUDE_SESSION_ID}.json

---

Model selection

If PRED_ID is none, skip to Execute using model haiku.

Otherwise use AskUserQuestion with one option per model row in the prediction table:

• label: model name (e.g. single-haiku)
• description: Est. $X.XX · N turns · X% pass

Include a final option: label "Just predict — don't execute", description "Stop here".

If the user picks "Just predict", stop.

---

Execute

Dispatch the task agent with the chosen model:

Agent(
  model = "haiku" or "sonnet" (from selection above),
  prompt = "Working in REPO_PATH.\n\nTask: $ARGUMENTS\n\nComplete the task using all available tools. Summarise what you changed and whether it succeeded."
)

After Agent returns, extract AGENT_ID from agentId: <hex> in the result metadata.

---

Parse metrics

PARSE="$(dirname "PREDICT_BIN")/parse-session"
"$PARSE" AGENT_ID REPO_PATH

Extract from the JSON output:

• ACTUAL_TURNS from turns
• ACTUAL_COST from cost_usd

---

Eval

Dispatch a second Agent to assess success independently:

Agent(
  prompt = "Task attempted: $ARGUMENTS\nRepo: REPO_PATH\n\n1. Run: git diff HEAD\n2. Run tests if any exist (pytest -q, npm test, etc.)\n3. Assess whether the task requirements are met.\n\nRespond with ONLY valid JSON, no markdown:\n{\"passed\": true, \"reason\": \"one sentence\"}"
)

Parse PASSED and REASON from the JSON.

---

Record

RECORD="$(dirname "PREDICT_BIN")/record-actual"
"$RECORD" PRED_ID --turns ACTUAL_TURNS --cost ACTUAL_COST --passed PASSED

Report to the user:

Recorded PRED_ID:
  Turns:  ACTUAL_TURNS  (predicted: X)
  Cost:   $ACTUAL_COST  (predicted: $X.XX)
  Passed: PASSED — REASON