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feat(ai, adapters): automatic prompt caching and mid-conversation changes - #1697
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AlemTuzlak wants to merge 9 commits into
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Conversation
…chat()
chat() resolves promptCache ('short' by default, 'none' turns it off, the
key is the caller's threadId or conversationId) and passes it to adapters
as TextOptions.promptCache. A middleware can change it in onConfig.
For an adapter with midConversationChannels, chat() compares the tools and
system prompts of each model call with the records in the transcript,
passes the change as TextOptions.midConversationChanges, and saves the
record on the first assistant message of the call.
Adapters read TextOptions.promptCache from chat(): - Anthropic: cache markers on the last tool, the last user block and the system blocks (at most 4). 'long' asks for the 1-hour TTL. - Bedrock Converse: cache points after the system prompt and the last user message, for Claude models only. - OpenRouter: sessionId from the key, and cache markers for anthropic/*. - OpenAI: prompt_cache_key (and retention for 'long') on Responses and Chat Completions. - Mistral: prompt_cache_key, and cache reads in usage. A manual cache_control, cachePoint, prompt_cache_key or sessionId wins.
openai-base Responses: with channels, `tools` keeps the start set, an added tool goes out as an additional_tools item, and an added prompt as a developer message at its place. The function call namespace of an added tool goes back on the replayed call. ai-openai and ai-anthropic: the models that have the channels carry `supports.mid_conversation_channels` in model-meta. The channels are on by default only on the provider's own API. A baseURL, a fetch, an injected client or the base-URL env var turns the default off, and the `midConversationChannels` option overrides it. Claude gets the mid-conversation-tool-changes beta, a deferred placeholder tool, tool_addition blocks and a mid-conversation system message. ai-persistence: a message store keeps the stored mid-conversation record when a client sends the same message again without it.
… on the wire Two capturing-fetch routes run chat() on Anthropic and OpenAI Responses. The specs check the default cache markers and prompt_cache_key, no cache field with promptCache 'none', and the mid-conversation tool and prompt changes on the listed models.
New pages advanced/prompt-caching and advanced/mid-conversation-changes. The middleware, extend-adapter, community adapter guide, and the Anthropic, Bedrock, OpenAI, OpenRouter and Mistral pages get the matching sections.
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Included review availability: This review used your included allowance. Your plan provides up to 8 included reviews per hour; 4 remain after this review. 📝 WalkthroughWalkthroughThe pull request adds default prompt-cache configuration and provider-specific request handling. It also adds support for tracking and sending tool and system-prompt changes between model calls on selected OpenAI and Anthropic models. Persistence, tests, and documentation cover these changes. ChangesPrompt Caching and Mid-Conversation Changes
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~60 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant Chat
participant Middleware
participant Adapter
participant Provider
Chat->>Middleware: Read or update promptCache
Chat->>Adapter: Send resolved promptCache and planned changes
Adapter->>Provider: Add provider cache fields and serialize changes
Provider-->>Adapter: Return model response
Adapter-->>Chat: Return response stream
Sequence Diagram(s)sequenceDiagram
participant Chat
participant Middleware
participant Adapter
participant Provider
Chat->>Middleware: Read or update promptCache
Chat->>Adapter: Send resolved promptCache and planned changes
Adapter->>Provider: Add provider cache fields and serialize changes
Provider-->>Adapter: Return model response
Adapter-->>Chat: Return response stream
Merge Risk: 🔵 Low · up to A rare Anthropic tool-name collision can misplace the prompt-cache boundary during a mid-conversation change. This is a bounded caching risk; correct the placeholder selection before merging. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 73.97% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 73 functions across 43 files. (1 skipped: 1 unsupported.)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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Inline comments:
Review comments at @docs/advanced/prompt-caching.md:
- Line 66: Update the `'none'` row in the cache-mode table to describe the
`prompt_cache_options: { mode: 'explicit' }` opt-out field sent for newer OpenAI
models, rather than claiming that no cache fields are sent.
- Line 89: Update the cache-cost explanation in the prompt-caching documentation
to limit the two-use savings claim to Claude’s 5-minute cache. Clarify that the
1-hour cache’s higher write cost means it needs more reuse before caching saves
money.
Review comments at @packages/ai-anthropic/src/prompt-cache.ts:
- Around line 165-176: Update the lookup for
ANTHROPIC_DEFERRED_TOOL_PLACEHOLDER_NAME in request.tools to select the last
matching tool, so the generated placeholder determines the cache boundary when
caller tools share its name; preserve the fallback behavior when no placeholder
is found.
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.changeset/mid-conversation-changes.md.changeset/persistence-keep-change-record.md.changeset/prompt-caching-default.mddocs/adapters/anthropic.mddocs/adapters/bedrock.mddocs/adapters/mistral.mddocs/adapters/openai.mddocs/adapters/openrouter.mddocs/advanced/extend-adapter.mddocs/advanced/mid-conversation-changes.mddocs/advanced/middleware.mddocs/advanced/prompt-caching.mddocs/community-adapters/guide.mddocs/config.jsonpackages/ai-anthropic/src/adapters/text.tspackages/ai-anthropic/src/model-meta.tspackages/ai-anthropic/src/prompt-cache.tspackages/ai-anthropic/src/text/text-provider-options.tspackages/ai-anthropic/tests/anthropic-adapter.test.tspackages/ai-anthropic/tests/mid-conversation-changes.test.tspackages/ai-anthropic/tests/prompt-cache.test.tspackages/ai-anthropic/tests/thinking-replay.test.tspackages/ai-bedrock/src/adapters/converse-text.tspackages/ai-bedrock/src/converse/prompt-cache.tspackages/ai-bedrock/tests/converse/prompt-cache.test.tspackages/ai-mistral/src/adapters/text.tspackages/ai-mistral/tests/prompt-cache.test.tspackages/ai-openai/src/adapters/text-chat-completions.tspackages/ai-openai/src/adapters/text.tspackages/ai-openai/src/model-meta.tspackages/ai-openai/src/prompt-cache.tspackages/ai-openai/tests/mid-conversation-changes.test.tspackages/ai-openai/tests/prompt-cache.test.tspackages/ai-openrouter/src/adapters/text.tspackages/ai-openrouter/src/prompt-cache.tspackages/ai-openrouter/tests/prompt-cache.test.tspackages/ai-persistence/src/merge-stored.tspackages/ai-persistence/tests/with-persistence.test.tspackages/ai/src/activities/chat/adapter.tspackages/ai/src/activities/chat/index.tspackages/ai/src/activities/chat/middleware/types.tspackages/ai/src/adapter-internals.tspackages/ai/src/index.tspackages/ai/src/types.tspackages/ai/src/utilities/mid-conversation.tspackages/ai/tests/chat-mid-conversation.test.tspackages/ai/tests/mid-conversation.test.tspackages/ai/tests/middleware-prompt-cache.test.tspackages/ai/tests/prompt-cache.test.tspackages/openai-base/src/adapters/responses-text.tspackages/openai-base/tests/responses-mid-conversation.test.tstesting/e2e/src/routeTree.gen.tstesting/e2e/src/routes/api.mid-conversation-changes-wire.tstesting/e2e/src/routes/api.prompt-cache-wire.tstesting/e2e/tests/mid-conversation-changes-wire.spec.tstesting/e2e/tests/prompt-cache-wire.spec.ts
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The default prompt cache marks the system blocks. With auth 'oauth', the only system block is the Claude Code identity block, so it now has cache_control. The identity text stays the same.
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chat()now asks the provider to cache the stable start of each request by default: the system prompt, the tools, and the earlier messages. Repeated requests get cheaper and faster.promptCache: 'none'turns it off. On top of that, when you add a tool or a prompt in the middle of a conversation, listed OpenAI and Claude models get the change inside the conversation, so the cached start stays the same.This PR is split out of #1555 (items 1.6 and 1.7). The two are in one PR because the Claude mid-conversation code changes the prompt-cache markers.
🎯 Changes
Prompt caching (on by default)
chat({ promptCache })takes'short'(the default),'none', or{ retention?: 'short' | 'long', key? }. The key defaults to thethreadId. Middleware can change it inonConfig.prompt_cache_key, plus a retention field for'long'.sessionId.cache_control,cachePoint,prompt_cache_key, orsessionIdstill wins.Mid-conversation changes
chat()compares the tools and system prompts with the earlier calls.additional_toolsand adevelopermessage.tool_additionblocks.baseURL,fetch, client, or base-URL env var turns it off.midConversationChannels: true | falseoverrides the default.midConversationChangerecord, andai-persistencekeeps that record when it merges.supports.mid_conversation_channelsin its object inmodel-meta.ts. The sets of models are derived from those flags.namespacefix from feat(ai, ai-harness): add the harness stack with coding tools, durable work, replay, and adapter parity #1555 (b28bb791c). Without it, the request after an added tool fails with400 Missing namespace.Not in this PR:
openaiCompatiblequirks.cacheWrite1hTokensand pricing (they come with the catalog).boundaryMap.Docs
advanced/prompt-caching.mdandadvanced/mid-conversation-changes.md.advanced/middleware.md: apromptCacherow and a "Change the prompt cache of a call" section.advanced/extend-adapter.md, with a link from the community adapter guide.Changesets: prompt caching,
mid-conversation-changes, andpersistence-keep-change-record.✅ Checklist
pnpm run test:pr, or these tests do not apply to this pull request.docs/for this change, or this change is not user-facing.pnpm changeset), or this PR does not change a published package.🚀 Release Impact
Testing
Commands run
vitest run(--maxWorkers=2):ai2165,ai-anthropic259,ai-openai399,openai-base292,ai-bedrock134,ai-mistral81,ai-openrouter281,ai-persistence286.openai-base: Cloudflare, Grok, Groq, BytePlus, LLM Gateway, Lovable, Vercel.test:types,test:oxlint, andpnpm test:knip: clean.pnpm test:docs: no broken links.kiira checkon the 10 changed pages: 161 snippets pass.tscontesting/e2e: no errors in the changed files.pnpm test:prand the E2E suite. CI runs them.Manual test
pnpm --dir packages/ai-anthropic exec vitest run. Check that a request with athreadIdgets cache markers, and thatpromptCache: 'none'sends none.prompt_cache_keyequals thethreadId.gpt-5.5, a tool added in the second call goes out asadditional_tools, and the first part of the request stays the same.How this PR makes testing easy
prompt-cache-wire.spec.tsandmid-conversation-changes-wire.spec.ts. Their routes record the raw request body with a capturingfetch, because aimock's log changes request bodies.anthropic-structured-usageandbedrock-converse-cachespecs need no change.Risk / rollback
threadIdnow has cache markers. Anthropic bills cache writes, so a one-time large prompt costs a little more. UsepromptCache: 'none'for that case.prompt_cache_keyon every request, also for Mistral on Vertex. If Vertex rejects fields it does not know, those requests fail. The fix would be to send the key only to Mistral's own API.chat/index.ts, the Anthropic and OpenAI adapters, and theirmodel-meta.ts. Whichever merges second needs a real merge.To undo, revert this PR.
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