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feat(ai): provider prompt caching for agent() and llm(); a tool-loop guard and a run deadline - #764

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feat/ai-prompt-cache
Oct 11, 2026
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sebyx07 merged 4 commits into
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feat/ai-prompt-cache

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@sebyx07 sebyx07 commented Oct 11, 2026 •

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An unattended agent re-sends its stable prefix and growing transcript every turn. Nothing under packages/ai sent a cache breakpoint.

  • Prompt caching. system may be { stable, run }; agent() marks the stable block and the transcript tail each turn (promptCache: 'auto' by default, 'off' restores the old bytes); llm() is off by default (a one-shot call would only pay the write premium). Rules are data (PROMPT_CACHE_RULES): Anthropic wire marks the stable system block and the last two messages; OpenRouter marks only anthropic/* models and carries the session key as x-session-id; OpenAI direct gets prompt_cache_key; no provider routing object is ever sent.
  • Usage. The OpenAI-wire parser now subtracts cache writes as well as reads from prompt_tokens; onTurn reports per-turn and per-run cache read/write tokens and cost.
  • Guards for unattended runs. maxRepeatedToolCalls (default 3) → X_AGENT_TOOL_LOOP; deadlineMs → X_AGENT_DEADLINE; a caller abort during a model call is X_ABORTED, not the retryable X_AI_PROVIDER_UNAVAILABLE.

Real run, anthropic/claude-sonnet-5.5 on OpenRouter, ~19.9k-token stable prefix, one tool: turn 1 wrote 19,914 tokens (USD 0.0503); turns 2 and 3 read them back (USD 0.0027 each).

Behaviour changes (changelog): agent() caches by default; the loop guard is on by default; AgentTurn gains a required run field.

🤖 Generated with Claude Code

Summary by CodeRabbit

  • New Features
    • AI agents now support provider prompt caching, including per-session cache hints and cache-token usage and cost accounting.
    • Agents can stop repeated identical tool calls and enforce optional run deadlines, with distinct errors for each.
    • Added public AI package exports for agent configuration, usage, prompt caching, and related errors.
  • Bug Fixes
    • Caller cancellation during an agent model call is now reported as X_ABORTED, separately from deadline expiration.
  • Documentation
    • Updated AI guides and reference material with prompt caching, usage, deadlines, and repeated-tool-call behavior.

…per turn and run; a repeated-turn guard and a run deadline

agent() asks the provider to cache each turn's prefix (default 'auto'; llm() 'off'):
GenerateRequest takes system { stable, run } and promptCache { session? }, and
PROMPT_CACHE_RULES decides what each wire and host is sent - cache_control blocks on
the Anthropic wire, content-part marks for anthropic/* on OpenRouter, nothing for
other models there or on OpenAI, x-session-id / prompt_cache_key for a session key.

The chat-completions reader takes cache_write_tokens out of prompt_tokens; onTurn
gains the run's running usage and cost. maxRepeatedToolCalls (default 3) stops a
loop repeating the same calls and results (X_AGENT_TOOL_LOOP); deadlineMs bounds a
run's wall clock (X_AGENT_DEADLINE); a caller abort mid-call is X_ABORTED.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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⚠️ Review did not complete

developerz.ai started reviewing this pull request and stopped before finishing: the pull request was merged or closed while it ran.

This is a failure of the review run, not a verdict on the changes — nothing here says the diff is good or bad. The run is recorded on this task's audit trail.

⏱ 5m 44s wall clock · MiniMax-M3 via minimax · 2 model call(s) · 13,178 output token(s) · slowest call 2m 58s. The slowest model call was 2m 58s of the 5m 44s wall clock.

🤖 developerz.ai — automated review, running on your box. This run did not complete.

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📒 Files selected for processing (38)
  • CHANGELOG.md
  • docs/history/ai.md
  • framework.manifest.json
  • packages/ai/CLAUDE.md
  • packages/ai/README.md
  • packages/ai/src/agent-cache.test.ts
  • packages/ai/src/agent-def.ts
  • packages/ai/src/agent-errors.ts
  • packages/ai/src/agent-guards.test.ts
  • packages/ai/src/agent-guards.ts
  • packages/ai/src/agent-job.test.ts
  • packages/ai/src/agent-system.ts
  • packages/ai/src/agent-usage.ts
  • packages/ai/src/agent.test.ts
  • packages/ai/src/agent.ts
  • packages/ai/src/budget.ts
  • packages/ai/src/errors-retry.test.ts
  • packages/ai/src/errors-retry.ts
  • packages/ai/src/errors.ts
  • packages/ai/src/gateway.ts
  • packages/ai/src/index.ts
  • packages/ai/src/llm-prompt-cache.test.ts
  • packages/ai/src/llm.ts
  • packages/ai/src/openai-body.ts
  • packages/ai/src/openai-messages.ts
  • packages/ai/src/openai-provider.ts
  • packages/ai/src/openai-wire.test.ts
  • packages/ai/src/openai-wire.ts
  • packages/ai/src/prompt-cache-blocks.test.ts
  • packages/ai/src/prompt-cache-blocks.ts
  • packages/ai/src/prompt-cache-fixture.ts
  • packages/ai/src/prompt-cache.test.ts
  • packages/ai/src/prompt-cache.ts
  • packages/ai/src/provider.ts
  • packages/http/src/error-map-tier-4.ts
  • wiki/Agents.md
  • wiki/Error-Codes.md
  • wiki/MCP-And-AI.md

📝 Walkthrough
📝 Walkthrough
📝 Walkthrough
📝 Walkthrough

Walkthrough

The AI package adds provider prompt caching with provider-specific request marks and session routing. Agent runs also gain repeated-tool-call detection, optional deadlines, and cumulative usage reporting. New error codes, exports, tests, and documentation cover these changes.

Changes

AI runtime

Layer / File(s) Summary
Prompt-cache rules and provider wire handling
packages/ai/src/prompt-cache*.ts, packages/ai/src/provider.ts, packages/ai/src/openai-*.ts, packages/ai/src/openai-wire.ts
Prompt-cache hints, stable and run-specific system text, provider cache marks, and session routing are added. OpenAI usage parsing now reports bounded cache-read and cache-write counts.
Agent and LLM cache integration
packages/ai/src/agent-def.ts, packages/ai/src/agent-system.ts, packages/ai/src/agent-usage.ts, packages/ai/src/agent.ts, packages/ai/src/llm.ts, packages/ai/src/*cache.test.ts
agent() sends cache hints by default and reports per-turn and cumulative usage. llm() accepts promptCache and defaults to no cache hint.
Agent loop and deadline controls
packages/ai/src/agent-guards.ts, packages/ai/src/agent-errors.ts, packages/ai/src/agent.ts, packages/ai/src/errors.ts, packages/http/src/error-map-tier-4.ts, packages/ai/src/agent-guards.test.ts, packages/ai/src/agent.test.ts, packages/ai/src/agent-job.test.ts
Agent declarations validate repeat limits and deadlines. Runs stop repeated tool-call/result sequences with X_AGENT_TOOL_LOOP and deadline-expired work with X_AGENT_DEADLINE. Caller cancellation during model calls remains classified as X_ABORTED.
Exports and supporting references
packages/ai/src/index.ts, framework.manifest.json, CHANGELOG.md, docs/history/ai.md, packages/ai/README.md, packages/ai/CLAUDE.md, wiki/*
The barrel and error manifest expose the new types, helpers, and error codes. Package and wiki references describe cache behavior, usage accounting, loop limits, and deadlines.

Priority: ➖ Normal

Estimated code review effort: 4 (Complex) | ~60 minutes

Change: Feature

Sequence Diagram(s)

sequenceDiagram
  participant Agent as agent()
  participant Provider as Provider adapter
  participant Endpoint as Model endpoint
  Agent->>Provider: Send system prompt and cache hint
  Provider->>Endpoint: Add provider-specific cache marks and session routing
  Endpoint-->>Provider: Return response and cache-token usage
  Provider-->>Agent: Return generation result
  Agent->>Agent: Accumulate turn and run usage
Loading







Merge Risk: 🔵 Low · up to 5162c

The deadline error can misdirect diagnosis of a timed-out run. Correct its cause; the remaining risk is bounded and does not block merging.

Pre-merge checks | Passed 4 | Failed 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage Warning Docstring coverage is 63.89% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 36 functions across 24 files. (8 skipped:… Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check Passed The title clearly summarizes the main changes: provider prompt caching, a tool-loop guard, and a run deadline.
Linked Issues check Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check Passed Check skipped because no linked issues were found for this pull request.




Full details: Docstring Coverage

Explanation

Docstring coverage is 63.89% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 36 functions across 24 files. (8 skipped: 8 unsupported.)








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Actionable comments posted: 1


  • 🪄 Fix CodeRabbit comments on this PR
🤖 Prompt to fix review comments
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Inline comments:
Review comments at @packages/ai/src/agent-errors.ts:
- Line 37: Update the cause text for X_AGENT_DEADLINE in the agent error
construction to describe deadline expiration generically across setup,
model-call, and tool-batch phases; do not claim a model call was aborted when
the timeout may have occurred elsewhere.

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Reviewing files that changed from the base of the PR and between 7fd5d95 and 5162c0b.

📒 Files selected for processing (32)
  • CHANGELOG.md
  • docs/history/ai.md
  • framework.manifest.json
  • packages/ai/CLAUDE.md
  • packages/ai/README.md
  • packages/ai/src/agent-cache.test.ts
  • packages/ai/src/agent-def.ts
  • packages/ai/src/agent-errors.ts
  • packages/ai/src/agent-guards.test.ts
  • packages/ai/src/agent-guards.ts
  • packages/ai/src/agent-job.test.ts
  • packages/ai/src/agent-system.ts
  • packages/ai/src/agent-usage.ts
  • packages/ai/src/agent.test.ts
  • packages/ai/src/agent.ts
  • packages/ai/src/errors.ts
  • packages/ai/src/index.ts
  • packages/ai/src/llm-prompt-cache.test.ts
  • packages/ai/src/llm.ts
  • packages/ai/src/openai-body.ts
  • packages/ai/src/openai-messages.ts
  • packages/ai/src/openai-provider.ts
  • packages/ai/src/openai-wire.test.ts
  • packages/ai/src/openai-wire.ts
  • packages/ai/src/prompt-cache-blocks.ts
  • packages/ai/src/prompt-cache.test.ts
  • packages/ai/src/prompt-cache.ts
  • packages/ai/src/provider.ts
  • packages/http/src/error-map-tier-4.ts
  • wiki/Agents.md
  • wiki/Error-Codes.md
  • wiki/MCP-And-AI.md

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Comment thread packages/ai/src/agent-errors.ts Outdated
sebyx07 and others added 3 commits October 11, 2026 09:43
…ne; the write-rate estimate only where a provider marks; alternating tool cycles are caught; no cache mark on a blank block or past four

Review follow-ups to the prompt-caching change:
- X_AGENT_TOOL_LOOP and X_AGENT_DEADLINE are registered terminal, so an agentJob
  dead-letters on attempt one instead of buying the same run per attempt.
- The run deadline rides each tool's own ctx.signal.
- estimateCost prices a cache write only when a provider serving the model would
  mark the request (Provider.marksPromptCache), at the dearer of write and input.
- The loop guard detects cycles of one to three tool turns.
- The Anthropic wire never marks an empty or whitespace-only text block and counts
  a caller's own marks against the four first.
- A prompt_cache_key over 64 characters is sent to OpenAI as a hash of itself.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
# Conflicts:
#	CHANGELOG.md
#	framework.manifest.json
@sebyx07
sebyx07 merged commit 80951f4 into main Oct 11, 2026
17 checks passed
@sebyx07
sebyx07 deleted the feat/ai-prompt-cache branch October 11, 2026 14:59
@sebyx07 sebyx07 mentioned this pull request Oct 11, 2026
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