update-model-pricing

name	update-model-pricing
description	Verify and refresh AgentConnect's daemon-side public OpenAI fallback pricing, exact model aliases, long-context and cache rules, and regression tests. Use when OpenAI model prices or IDs change, fallback cost becomes missing or stale, codex-acp changes its token mapping, or someone asks to audit or update packages/daemon/src/usage/openai-public-pricing.ts.

Update Model Pricing

Keep the daemon's offline cost fallback aligned with current public OpenAI Standard API pricing and the codex-acp version selected by AgentConnect's runtime registry or an explicit runtime override.

Workflow

1. Read packages/daemon/src/usage/openai-public-pricing.ts, its focused test, and packages/daemon/src/runtimes/registry.ts. Resolve the effective codex-acp package/version from the current ACP registry entry or the deployment's explicit runtime command/args; it is not pinned in pnpm-lock.yaml.
2. Read references/pricing-sources.md and fetch the current official sources. Do not rely on remembered prices or third-party tables.
3. Re-check the resolved codex-acp tag's TokenCount mapping and compare it with upstream main before changing the formula. Confirm whether ACP input, cache-read, cache-write, output, and thought fields are disjoint and whether PromptResponse usage is per-turn.
4. Update the manifest with exact published model IDs, prices, dated snapshots, thresholds, and the verification date. Cover text/reasoning models that codex-acp advertises or AgentConnect explicitly supports; do not broaden the manifest to unrelated OpenAI products. Keep unknown models unsupported; never infer a price by prefix or strip an unlisted date suffix.
5. Update tests in the same patch. Cover every alias, the exact long-context boundary, cache behavior, unknown models, malformed usage, and reasoning non-duplication.
6. Run the focused daemon tests, daemon typecheck, and formatting check. Review the final diff for unrelated product or telemetry changes.