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288 Commits

Author SHA1 Message Date
Aiden Cline 50d5ead203 refactor(codemode): expose OpenAPI from package root 2026-07-04 00:09:46 -05:00
Aiden Cline e8ecb5e265 fix(codemode): skip SSE OpenAPI operations 2026-07-03 23:51:26 -05:00
Aiden Cline 6dd9a8158a fix(codemode): resolve OpenAPI tool conflicts 2026-07-03 23:46:57 -05:00
Aiden Cline 2316f5e5b3 fix(codemode): flatten OpenAPI tool inputs 2026-07-03 22:46:41 -05:00
Aiden Cline adca41c50c fix(codemode): preserve constrained OpenAPI types 2026-07-03 17:32:18 -05:00
Aiden Cline 5a3520aa63 test(codemode): refresh OpenAPI fixture from v2 API 2026-07-03 17:18:51 -05:00
Aiden Cline e213a08b08 feat(codemode): preserve OpenAPI operation namespaces 2026-07-03 17:05:17 -05:00
Aiden Cline 7213242c99 revert weird change 2026-07-03 16:57:00 -05:00
Aiden Cline 88ac234fa5 test(codemode): name OpenAPI fixture for v2 2026-07-03 16:53:50 -05:00
Aiden Cline 79a3a1210a test(codemode): assert OpenAPI fixture tool shapes 2026-07-03 16:50:06 -05:00
Aiden Cline 3bf6636cbe test(codemode): use fixed OpenAPI fixture 2026-07-03 16:42:12 -05:00
Aiden Cline f2e43da451 test(codemode): cover OpenAPI adapter with opencode spec 2026-07-03 16:37:10 -05:00
Aiden Cline 701bf1854f refactor(codemode): inline trivial runtime helpers 2026-07-03 16:25:10 -05:00
Aiden Cline 04c4e90e61 refactor(codemode): inline OpenAPI error summary 2026-07-03 16:22:48 -05:00
Aiden Cline d8e3b692c0 refactor(codemode): inline private token estimate 2026-07-03 15:49:08 -05:00
Aiden Cline 34c65b71e6 refactor(codemode): simplify OpenAPI adapter split 2026-07-03 15:29:02 -05:00
Aiden Cline afb42e1ee9 refactor(codemode): split OpenAPI adapter modules 2026-07-03 15:22:33 -05:00
Aiden Cline d9e870ad5a refactor(codemode): expose OpenAPI only as adapter 2026-07-03 15:19:04 -05:00
Aiden Cline 813fb9d115 refactor(codemode): move OpenAPI adapter 2026-07-03 15:01:22 -05:00
Aiden Cline e4e27c4b46 test(opencode): stabilize websocket idle pruning 2026-07-03 13:53:15 -05:00
Aiden Cline 49ef91f5e7 fix(codemode): harden OpenAPI tool names and required params 2026-07-03 13:39:37 -05:00
Aiden Cline bf1e20a9e7 fix(codemode): harden OpenAPI path and record handling, cover naming and headers 2026-07-03 13:31:25 -05:00
Aiden Cline 6efdae2890 refactor(codemode): trim OpenAPI adapter to basic converter scope 2026-07-03 13:13:45 -05:00
Aiden Cline a63800ce9e refactor(codemode): align OpenAPI adapter with style guide 2026-07-03 12:47:04 -05:00
Aiden Cline 264b7c0e47 fix(codemode): refine OpenAPI response selection and header validation 2026-07-03 12:40:21 -05:00
Aiden Cline 5f785cf405 refactor(codemode): validate OpenAPI calls locally before auth and simplify helpers 2026-07-03 12:28:19 -05:00
Aiden Cline b8d4006261 fix(codemode): correct OpenAPI response fallthrough and cookie handling 2026-07-03 12:19:03 -05:00
Aiden Cline 6c40e9a564 fix(codemode): handle 2XX wildcards and required bodies in OpenAPI adapter 2026-07-03 12:10:00 -05:00
Aiden Cline 9793d9f141 fix(codemode): address OpenAPI adapter review feedback 2026-07-03 12:03:32 -05:00
Aiden Cline 2cca149c1d feat(codemode): add OpenAPI tool adapter 2026-07-03 11:50:27 -05:00
Aiden Cline 27e8e2e22b refactor(opencode): fail the execute tool on program failure (#35180) 2026-07-03 11:27:36 -05:00
Aiden Cline 39c6dd1c32 feat(tui): render code-mode execute tool with child calls (#35113)
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2026-07-03 11:17:21 -05:00
opencode-agent[bot] a09447bc9b chore: generate 2026-07-03 15:40:10 +00:00
Adam 16815473a4 chore: artifacts 2026-07-03 10:38:49 -05:00
Adam 1f47bbfce2 fix(stats): link market share labs 2026-07-03 10:34:13 -05:00
James Long 33ed95f09c fix(core): rewrite replacements while hoisting layers (#35175) 2026-07-03 11:26:49 -04:00
opencode-agent[bot] 2152624f37 chore: generate 2026-07-03 15:16:03 +00:00
Adam 7d84cb05ef feat(stats): add model momentum section 2026-07-03 10:13:56 -05:00
James Long eba0bd0397 chore: upgrade turbo (#35173) 2026-07-03 10:41:17 -04:00
Kit Langton 9aab24e95e fix(opencode): provide Observability beneath all route service graphs (#35171) 2026-07-03 10:00:30 -04:00
Aarav Sareen a4fed69a82 feat(app): dropdown search fix (#34961)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
2026-07-03 10:31:37 +00:00
opencode-agent[bot] 41a3cfcdd9 chore: update nix node_modules hashes 2026-07-03 09:37:53 +00:00
opencode-agent[bot] 72845e09fc chore: generate 2026-07-03 09:25:41 +00:00
Aiden Cline abaab29cb3 feat(opencode): add code-mode MCP adapter (#35085) 2026-07-03 09:24:27 +00:00
opencode-agent[bot] 30936a9bca chore: generate 2026-07-03 08:11:01 +00:00
Aarav Sareen a9144eccf8 feat(app): improvements to model search (#34954) 2026-07-03 08:09:51 +00:00
Aiden Cline 458ec7b372 refactor(opencode): expose MCP tools in native shape from the service (#35103) 2026-07-03 03:05:36 -05:00
usrnk1 d46c02ba73 feat(desktop): papercut fixes (#34939) 2026-07-03 08:04:59 +00:00
opencode-agent[bot] caedf36844 chore: generate 2026-07-03 07:54:40 +00:00
Aarav Sareen 4c6e2a92ce feat(app): align subagent UI with v2 (#34931)
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
2026-07-03 15:53:31 +08:00
usrnk1 bf58fae51f feat(desktop): add recently closed projects to home (#34926) 2026-07-03 15:52:40 +08:00
Aiden Cline eb3476660f chore: remove root node-gyp pin after Node 24 setup (#35092)
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2026-07-03 00:45:17 -05:00
opencode-agent[bot] 7d48a22a63 chore: update nix node_modules hashes 2026-07-03 05:33:25 +00:00
opencode-agent[bot] 3f0fc22b6e chore: generate 2026-07-03 05:20:28 +00:00
Aiden Cline 2409c7a3d5 feat(codemode): add confined execution package (#35079) 2026-07-03 05:19:11 +00:00
Aiden Cline 379adee35c revert: back out experimental codemode (#35077) 2026-07-02 23:57:30 -05:00
Luke Parker 2ef1a5991c fix(ci): setup Node 24 before bun install for node-gyp (#35076) 2026-07-03 14:55:57 +10:00
opencode-agent[bot] 83c638eaac chore: generate 2026-07-03 04:49:44 +00:00
Aiden Cline cb93114424 feat: experimental codemode (#34677) 2026-07-02 23:48:34 -05:00
Luke Parker 04d236ceed fix(app): keep v2 review pane mounted across session tab switches (#35074) 2026-07-03 14:22:20 +10:00
Frank 5455fed78e zen: new inference
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2026-07-02 21:59:33 -04:00
Frank 6dba0cc498 zen: new inference 2026-07-02 21:56:52 -04:00
Luke Parker c07ac0db2f feat(app): navigate tabs on mousedown in new layout (#35042) 2026-07-03 11:47:06 +10:00
Frank 20b090e493 zen: new inference 2026-07-02 21:38:29 -04:00
Frank cb54824f2f zen: new inference 2026-07-02 21:28:38 -04:00
Dustin Deus 3adfb970bf feat(tui): add debug info dialog with copy to clipboard (#35004) 2026-07-02 23:00:53 +02:00
opencode-agent[bot] 5ecd19db9f chore: generate 2026-07-02 19:43:04 +00:00
Adam 299daa2815 feat(stats): redesign model hero 2026-07-02 14:41:22 -05:00
Adam 7457139849 fix(stats): polish lab pages 2026-07-02 14:38:16 -05:00
Aiden Cline 373cd08b98 fix(copilot): honor advertised model endpoints (#34958) 2026-07-02 10:23:57 -05:00
Luke Parker f52424e05f fix(ui): resolve toast icon inside the toast component (#34874) 2026-07-02 15:53:47 +08:00
Luke Parker 4a42caef2c fix(app): keep terminal mounted when switching session tabs in a workspace (#34852)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
2026-07-02 15:53:19 +08:00
Aarav Sareen 7d2618637f feat(app): v2 review panel overhaul (#31882)
Co-authored-by: LukeParkerDev <10430890+Hona@users.noreply.github.com>
2026-07-02 07:41:58 +00:00
Luke Parker fbb95a6ee3 fix(app): seed session status before warming session info (#34864)
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2026-07-02 16:32:25 +10:00
Brendan Allan 40233595b0 fix(app): clear original prompt after retarget (#34863) 2026-07-02 06:24:53 +00:00
opencode-agent[bot] 403164a6ac chore: generate 2026-07-02 06:08:44 +00:00
Luke Parker 1fb2ecc721 fix(app): scope session tab indicators to the tab's server (#34861) 2026-07-02 16:07:35 +10:00
Luke Parker 27c9b130c7 test(opencode): cover Windows session list directory spellings (#34857) 2026-07-02 05:16:17 +00:00
Brendan Allan 5fecf7ae9e fix(app): only allow \(...\) syntax for inline latex (#34850) 2026-07-02 13:02:17 +08:00
Luke Parker a0d64b12c9 fix(opencode): filter session list by resolved instance directory (#34842) 2026-07-02 04:39:49 +00:00
opencode-agent[bot] d6b897188a chore: generate 2026-07-02 04:25:52 +00:00
Luke Parker 39dfbb53d0 fix(app): resolve target session lineage outside router transition (#34838) 2026-07-02 14:24:39 +10:00
opencode-agent[bot] a39db9c6f6 chore: update nix node_modules hashes 2026-07-02 03:36:41 +00:00
opencode-agent[bot] 6ca60d9204 fix(opencode): update Cerebras SDK reasoning replay (#34826)
Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>
2026-07-01 22:22:27 -05:00
opencode-agent[bot] b3934992d1 chore: update nix node_modules hashes 2026-07-02 02:52:09 +00:00
opencode-agent[bot] 4de7e90d8d fix(ui): raise v2 tooltip layer (#34455)
Co-authored-by: Jay <53023+jayair@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-07-02 10:45:13 +08:00
usrnk1 917eca4f55 feat(desktop): refine session tab preview popover (#34792) 2026-07-02 10:41:25 +08:00
Luke Parker 3cf71808c4 fix(app): stabilize session timeline layout continuity (#34533) 2026-07-02 12:36:47 +10:00
Luke Parker f266e829cf fix(desktop): keep window tabs across app close (#34807) 2026-07-01 23:23:11 +00:00
Frank 3df5556223 zen: new inference
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2026-07-01 17:54:22 -04:00
Adam fc29f99190 fix(stats): include locale header in vary (#34789) 2026-07-01 15:25:49 -05:00
Adam beb586a383 fix(stats): refine lab page tooltips 2026-07-01 14:54:35 -05:00
opencode-agent[bot] 5668d36477 chore: generate 2026-07-01 19:45:26 +00:00
Adam 3706b33ee0 feat(stats): use catalog descriptions 2026-07-01 14:41:28 -05:00
Adam 85e8ac3b36 feat(data): another redesigned lab section 2026-07-01 14:41:28 -05:00
Adam 91ca75c4dc feat(stats): redesign lab usage 2026-07-01 14:41:28 -05:00
Adam 262ef4fdc2 feat(stats): add lab overview 2026-07-01 14:41:28 -05:00
Adam 74e5644646 feat(stats): redesign lab hero 2026-07-01 14:41:28 -05:00
opencode-agent[bot] 7de5aa08ff chore: update nix node_modules hashes 2026-07-01 15:40:08 +00:00
Vladimir Glafirov 9495e3e903 chore: bump gitlab-ai-provider to 6.10.0 (#34756) 2026-07-01 10:23:07 -05:00
opencode 1e73b76ea6 sync release versions for v1.17.13 2026-07-01 15:19:04 +00:00
Aarav Sareen 6697cf3fd8 feat(app): minor fixes (#34748) 2026-07-01 21:10:53 +08:00
opencode-agent[bot] 87aa62d1e2 chore: generate 2026-07-01 12:41:15 +00:00
usrnk1 3136b1ba97 feat(desktop): improve markdown heading spacing in session timeline (#34738) 2026-07-01 20:39:12 +08:00
Aarav Sareen 246dea3a58 feat(app): more v2 ui alignment (#34465)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
2026-07-01 12:14:51 +00:00
opencode-agent[bot] 4b1c7f28a0 chore: generate 2026-07-01 12:08:40 +00:00
Aarav Sareen 9410eda4e3 feat(app): composer improvements (#34720)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
2026-07-01 12:06:41 +00:00
usrnk1 f014686b07 feat(desktop): session tab hover preview popover (#34678)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
2026-07-01 17:16:45 +08:00
opencode-agent[bot] 8b68dc0d7f chore: generate 2026-07-01 09:05:06 +00:00
Brendan Allan 2f4d36d64e fix(desktop): clean stale draft stores (#34651) 2026-07-01 09:03:27 +00:00
opencode-agent[bot] 6f2ff35656 chore: generate 2026-07-01 08:17:22 +00:00
Julian Coy cd00422298 fix(app): question UI fixes and UX improvements (#34116)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
Co-authored-by: Brendan Allan <14191578+Brendonovich@users.noreply.github.com>
2026-07-01 08:15:31 +00:00
opencode-agent[bot] 34ee94232f chore: generate 2026-07-01 07:40:25 +00:00
Aarav Sareen 4d91f0cf28 feat(app): v2 wsl ui (#34233)
Co-authored-by: LukeParkerDev <10430890+Hona@users.noreply.github.com>
2026-07-01 07:39:00 +00:00
opencode-agent[bot] bf18cc971f chore: generate 2026-07-01 07:06:04 +00:00
Brendan Allan 5e1a1ed2e2 fix(app): scope session page errors (#34254) 2026-07-01 15:04:18 +08:00
opencode-agent[bot] bd7f7ad98b chore: generate 2026-07-01 07:03:41 +00:00
Brendan Allan af72cec799 feat(desktop): scope tabs to windows (#34669) 2026-07-01 07:02:10 +00:00
Aiden Cline 55552c521f fix(provider): force openai reasoning variants (#34702)
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2026-06-30 22:45:39 -05:00
opencode-agent[bot] 2b611a5b14 chore: update nix node_modules hashes 2026-07-01 01:44:56 +00:00
opencode-agent[bot] 45a437cbb2 fix(app): clamp virtualizer range to scroll bounds (#34588)
Co-authored-by: LukeParkerDev <10430890+Hona@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-07-01 11:28:34 +10:00
opencode-agent[bot] 439ec9b76f chore: generate 2026-07-01 00:53:45 +00:00
opencode-agent[bot] ae3fefb42a fix(session-ui): recognize more inline file paths (#34688)
Co-authored-by: Jay <53023+jayair@users.noreply.github.com>
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-07-01 00:52:10 +00:00
Aiden Cline f1407e41c4 fix(core): stop replaying stale GitHub Copilot Responses item IDs (#34686) 2026-06-30 19:19:02 -05:00
opencode-agent[bot] c88ca972cf chore: generate 2026-06-30 23:59:52 +00:00
Frank 928c37bc02 zen: kk2.7, mm3, sonnet5
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2026-06-30 19:56:25 -04:00
opencode afff74eb2c sync release versions for v1.17.12 2026-06-30 19:48:01 +00:00
Aiden Cline 3a669d528b fix(provider): enable sonnet 5 adaptive thinking (#34673) 2026-06-30 14:03:05 -05:00
Jack 6789214b31 fix(console): remove expired Go MiniMax promo (#34663) 2026-07-01 01:42:05 +08:00
James Long 6636683323 refactor: remove remaining default layer aliases (#34660) 2026-06-30 13:17:34 -04:00
opencode-agent[bot] 3af9f64265 chore: generate 2026-06-30 17:07:39 +00:00
James Long 5a23bdcb69 refactor(core): remove domain layer exports (#34625) 2026-06-30 13:05:15 -04:00
opencode-agent[bot] e78726854a chore: generate 2026-06-30 16:19:11 +00:00
James Long 472d0f376e refactor(core): remove infrastructure layer exports (#34624) 2026-06-30 12:17:12 -04:00
Brendan Allan c8fde60ad4 fix(app): hide missing workspace branch (#34649) 2026-07-01 00:05:09 +08:00
opencode-agent[bot] a4b6047e64 fix(core): drop legacy config filename (#34645)
Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-30 11:03:53 -05:00
James Long 6387f955cf refactor(core): remove session layer exports (#34623) 2026-06-30 11:44:08 -04:00
James Long 5691f36e98 refactor(core): remove tool layer exports (#34622) 2026-06-30 11:18:41 -04:00
opencode-agent[bot] 74e7a378bb chore: generate 2026-06-30 15:02:51 +00:00
usrnk1 fced9c5a2f feat(desktop): polish tooltips and session search (#34632) 2026-06-30 23:00:25 +08:00
opencode-agent[bot] 20445ca031 fix(cli): hide auto approval aliases in help (#34641)
Co-authored-by: James Long <longster@gmail.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-30 14:52:57 +00:00
James Long 6fc9405618 refactor(core): route aggregate layers through nodes (#34621) 2026-06-30 10:46:44 -04:00
James Long c86066efef test(opencode): update help snapshots (#34639) 2026-06-30 10:22:21 -04:00
usrnk1 fa9ba2938e feat(desktop): make error view draggable (#34627) 2026-06-30 22:12:43 +08:00
usrnk1 63e24880e5 feat(desktop): polish inline session title editing (#34607) 2026-06-30 22:12:22 +08:00
opencode-agent[bot] eaf42c4ab0 chore: update nix node_modules hashes 2026-06-30 13:55:24 +00:00
Aiden Cline 8e10ab0aa7 chore: bump venice provider (#34629) 2026-06-30 08:40:09 -05:00
runvip b329fcceb2 fix(docs): fix Russian translation for index.mdx (#34001)
Co-authored-by: Shoubhit Dash <shoubhit2005@gmail.com>
2026-06-30 16:47:44 +05:30
opencode-agent[bot] bd83177c48 chore: generate 2026-06-30 11:07:49 +00:00
Brendan Allan 06cb0de0b1 feat(app): autocomplete mcp resources (#34597) 2026-06-30 19:05:53 +08:00
opencode-agent[bot] 3ca89ac796 fix(app): autocomplete configured references (#34308)
Co-authored-by: Brendan Allan <14191578+Brendonovich@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
Co-authored-by: Brendan Allan <git@brendonovich.dev>
2026-06-30 18:45:37 +08:00
Brendan Allan 3aa2860058 fix(app): restore prompt cursor on focus (#34175) 2026-06-30 18:40:20 +08:00
usrnk1 ad63cf1590 feat(app): hide separators around active tabs (#34591) 2026-06-30 18:38:42 +08:00
Brendan Allan aa56750f8b fix(desktop): persist last active url (#34595) 2026-06-30 18:32:30 +08:00
opencode-agent[bot] 4aaed42640 fix(app): preserve macos titlebar inset (#34594)
Co-authored-by: Brendan Allan <14191578+Brendonovich@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-30 18:17:55 +08:00
usrnk1 f69f677a32 feat(desktop): add hover background to session title and single-click edit (#34589) 2026-06-30 17:46:52 +08:00
opencode-agent[bot] 8289883de8 chore: generate 2026-06-30 09:11:40 +00:00
usrnk1 003c22b4a3 fix(desktop): context menu button / tab intermittent issue (#34420)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
2026-06-30 17:09:38 +08:00
opencode-agent[bot] 1982d9832b fix(session-ui): align code copy tooltip with v2 style (#34459)
Co-authored-by: Jay <53023+jayair@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-30 17:01:38 +08:00
opencode-agent[bot] 90f0576222 fix(session-ui): deselect review line on draft cancel (#34585)
Co-authored-by: 𝓛𝓲𝓽𝓽𝓵𝓮 𝓕𝓻𝓪𝓷𝓴 <little-frank@opencord.local>
2026-06-30 16:26:20 +08:00
usrnk1 e34822db6b fix(desktop): preserve selected model during session promotion (#34466) 2026-06-30 16:23:39 +08:00
Frank b19ae6547f sync 2026-06-30 03:23:50 -04:00
opencode-agent[bot] 6b074ed718 fix(app): suppress middle-click tab auxclick (#34355)
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Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-30 16:32:25 +10:00
opencode-agent[bot] e687eb936b fix(app): register export logs globally (#34352)
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-30 16:31:09 +10:00
opencode-agent[bot] 797cb530e5 chore: generate 2026-06-30 05:09:55 +00:00
Dax 0a5bed2bc2 feat(tui): add yolo permission mode (#33279)
Co-authored-by: Aiden Cline <aidenpcline@gmail.com>
2026-06-30 00:08:29 -05:00
opencode-agent[bot] ba41dadc91 ci: skip issue actions for team authors (#34556)
Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
Co-authored-by: Aiden Cline <aidenpcline@gmail.com>
2026-06-29 23:48:58 -05:00
James Long 451876b0bd refactor(opencode): remove core service layer exports (#34518) 2026-06-29 23:32:16 -04:00
James Long 91561bbdfb refactor(opencode): remove app service layer exports (#34517) 2026-06-29 23:03:57 -04:00
opencode-agent[bot] 018ce34b39 revert(core): skip fff in node runtime (#34549)
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-30 12:58:57 +10:00
opencode-agent[bot] ce82b21073 chore: generate 2026-06-30 02:55:10 +00:00
James Long 1f37c26574 refactor(opencode): use layer nodes in remaining harnesses (#34516) 2026-06-29 22:53:42 -04:00
opencode-agent[bot] cb3e28d207 fix(app): collapse review pane by default (#34165)
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-30 12:47:00 +10:00
opencode-agent[bot] 8f1e13f299 fix(core): skip fff in node runtime (#34353)
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
Co-authored-by: 𝓛𝓲𝓽𝓽𝓵𝓮 𝓕𝓻𝓪𝓷𝓴 <little-frank@opencord.local>
2026-06-30 12:38:47 +10:00
Luke Parker 2fe68b5e91 fix(ui): prevent tool status blank frame (#34547)
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-30 12:26:04 +10:00
opencode-agent[bot] 2ace237938 chore: generate 2026-06-30 01:23:03 +00:00
James Long 5b62211167 refactor(opencode): build runtimes from layer nodes (#34515) 2026-06-29 21:21:28 -04:00
Frank 60b6229c4e zen: track region
deploy / deploy (push) Has been cancelled
2026-06-29 19:57:13 -04:00
opencode-agent[bot] 4caec80e67 chore: generate 2026-06-29 23:03:24 +00:00
Frank e9d4ca7e0f zen: track region 2026-06-29 18:57:32 -04:00
Aiden Cline d71454c701 fix(core): expose models.dev modes as models (#34521) 2026-06-29 17:51:06 -05:00
Dustin Deus 884c256033 fix(console): cancel upstream provider requests (#34467)
Co-authored-by: starptech <starptech@starptechs-MBP.fritz.box>
2026-06-29 23:28:04 +02:00
opencode-agent[bot] 78235385dd chore: generate 2026-06-29 20:53:48 +00:00
Aiden Cline fd213e6df6 fix(mcp): prefer content over structured output (#34505) 2026-06-29 15:51:52 -05:00
James Long 3726052307 refactor(opencode): use layer nodes in server tests (#34503) 2026-06-29 16:50:59 -04:00
opencode-agent[bot] 7d33a6f7c9 chore: generate 2026-06-29 20:36:56 +00:00
James Long 7a035d7fc0 refactor(opencode): bind instance bootstrap node (#34502) 2026-06-29 16:35:10 -04:00
opencode-agent[bot] 9151af7045 chore: generate 2026-06-29 20:24:42 +00:00
James Long 15bcbb1d7a refactor(opencode): migrate session tests to layer nodes (#34494) 2026-06-29 16:22:50 -04:00
opencode-agent[bot] 4d3294727c chore: generate 2026-06-29 20:07:10 +00:00
James Long aae0e89519 refactor(opencode): use layer nodes in plugin tests (#34495) 2026-06-29 16:04:58 -04:00
opencode-agent[bot] 93a7b4ab76 chore: generate 2026-06-29 19:58:09 +00:00
James Long 0ebe74b625 refactor(opencode): migrate llm tests to layer nodes (#34479) 2026-06-29 15:55:58 -04:00
James Long b9dae8593c refactor(opencode): migrate compaction and workspace tests to layer nodes (#34478) 2026-06-29 15:42:52 -04:00
opencode-agent[bot] d8f9388610 chore: generate 2026-06-29 18:52:55 +00:00
James Long be14739cce refactor(core): convert config tests to nodes (#34474) 2026-06-29 14:51:13 -04:00
James Long 762588c251 refactor(core): convert prompt tests to nodes (#34470) 2026-06-29 14:25:33 -04:00
opencode-agent[bot] d6e54e9042 chore: generate 2026-06-29 17:58:20 +00:00
James Long d4fd528152 refactor(core): convert more opencode tests to nodes (#34464) 2026-06-29 13:56:28 -04:00
opencode-agent[bot] de185559dd chore: generate 2026-06-29 16:58:51 +00:00
James Long bc5ce5eab1 refactor(core): convert opencode tests to nodes (#34453) 2026-06-29 12:56:44 -04:00
opencode-agent[bot] b10d617c80 chore: generate 2026-06-29 16:17:54 +00:00
Shoubhit Dash 18466b8020 feat(llm): add tool schema projections (#34454) 2026-06-29 21:45:42 +05:30
opencode-agent[bot] 71ec022b47 chore: generate 2026-06-29 15:50:24 +00:00
Shoubhit Dash f7eeb08942 fix(llm): narrow raw overlays (#34448) 2026-06-29 21:18:06 +05:30
opencode-agent[bot] 9205dfe724 chore: generate 2026-06-29 15:37:20 +00:00
James Long a3776429aa refactor(core): finish test layer node conversion (#34385) 2026-06-29 11:35:17 -04:00
opencode-agent[bot] c0e43c0c65 chore: generate 2026-06-29 13:57:06 +00:00
Shoubhit Dash 08c5a2a5e8 feat(llm): enforce request precedence (#34440) 2026-06-29 19:24:37 +05:30
opencode-agent[bot] 7077c70d60 chore: generate 2026-06-29 13:41:59 +00:00
Shoubhit Dash 1fd8bf526d feat(llm): add model defaults and compatibility data (#34436) 2026-06-29 19:10:00 +05:30
opencode-agent[bot] 6d9539f469 fix: exempt org issues from compliance close (#34431) 2026-06-29 12:59:30 +00:00
Shoubhit Dash e5101d9651 test(llm): lock event reducer laws (#34423) 2026-06-29 17:22:46 +05:30
Shoubhit Dash b0151e1d02 test(llm): verify generate reducer law (#34418) 2026-06-29 17:01:45 +05:30
opencode-agent[bot] c3637753bc chore: generate 2026-06-29 10:58:22 +00:00
Shoubhit Dash 48fc9e3cc3 feat(llm): add response reducer (#34417) 2026-06-29 16:26:33 +05:30
opencode-agent[bot] 82a482b36d chore: generate 2026-06-29 10:45:44 +00:00
Aarav Sareen 7fac84319d feat(app): align slash popover to v2 tokens (#34286)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
Co-authored-by: Brendan Allan <14191578+Brendonovich@users.noreply.github.com>
2026-06-29 18:44:18 +08:00
Aarav Sareen 0a5e617da8 feat(app): update message part ui to v2 (#34394) 2026-06-29 18:43:06 +08:00
Jack b5f92c9f48 docs: fix Kimi K2.7 Go model ID (#34413) 2026-06-29 18:39:43 +08:00
Aarav Sareen 2070fd9bc2 feat(app): improve projects sidebar reactivity (#34391)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
2026-06-29 18:20:26 +08:00
opencode-agent[bot] 48dc05eee7 chore: generate 2026-06-29 10:13:23 +00:00
Aarav Sareen 84bb706537 feat(app): new timeline header (#34192) 2026-06-29 18:11:32 +08:00
opencode-agent[bot] be8cfa7e08 chore: generate 2026-06-29 09:51:40 +00:00
Aarav Sareen 56a789d926 feat(app): show loader on session hover (#34224) 2026-06-29 17:50:14 +08:00
Aarav Sareen 5409151ad4 feat(app): sticky session list header (#34220)
Co-authored-by: Brendan Allan <git@brendonovich.dev>
2026-06-29 17:49:10 +08:00
Frank f90d154465 zen: budget 2026-06-29 05:46:56 -04:00
Frank 078385d386 zen: budget 2026-06-29 05:46:56 -04:00
Filip beaaa174ea fix(app): disable empty server chevron (#34292) 2026-06-29 15:28:01 +08:00
opencode-agent[bot] fb59606bb4 test(core): fix layer node replacement type expectation (#34386)
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Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-29 00:03:02 -05:00
opencode-agent[bot] 846d548154 chore: generate 2026-06-29 03:49:43 +00:00
James Long 84336e4f91 refactor(core): refine layer node replacements (#34377) 2026-06-28 23:48:18 -04:00
OpeOginni 01a5c69244 feat(tui): integrate ServerAuth headers into transport configuration for external served TUI thread (#29876) 2026-06-28 19:24:27 -05:00
opencode-agent[bot] d78f91afeb chore: generate 2026-06-28 23:36:32 +00:00
Brendan Allan 33762292f7 fix(app): wrap model.set in startTransition (#34351) 2026-06-29 07:35:09 +08:00
opencode-agent[bot] 5d6aa3b41a chore: generate 2026-06-28 23:18:35 +00:00
OpeOginni 683aca5dbe feat(desktop): Display stored totals for Tokens and Cost in Desktop Session Context (#28887) 2026-06-28 23:17:08 +00:00
Aiden Cline 92025e9a47 fix(mcp): clarify debug oauth probe (#34350) 2026-06-28 18:16:29 -05:00
Max Anderson 411e053572 fix(mcp): reconnect after OAuth even when server is disabled
Closes #33915
2026-06-28 18:07:10 -05:00
Frank b862d178bf zen: update alert role
deploy / deploy (push) Has been cancelled
2026-06-28 18:53:32 -04:00
Frank bda0ddc207 zen: new inference 2026-06-28 13:48:42 -04:00
Brendan Allan 58ba99e505 fix(desktop): avoid destroyed window permission checks (#34300) 2026-06-28 20:06:15 +08:00
Filip 6ee817d041 fix(app): disable add project when given server is offline (#34294) 2026-06-28 18:45:05 +08:00
Kit Langton dfeb1b5051 feat(client): generate complete protocol client (#34164)
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2026-06-27 22:25:40 -04:00
opencode-agent[bot] 61a7f6db35 chore: update nix node_modules hashes 2026-06-28 01:20:08 +00:00
Dax 6446b8ae3b fix(sdk): preserve V2Event name for SSE streams (#34171) 2026-06-27 21:05:47 -04:00
Brendan Allan ae53163cad fix(app): transition draft project updates (#34252) 2026-06-28 02:58:07 +08:00
opencode-agent[bot] 41202819a4 chore: generate 2026-06-27 18:11:37 +00:00
James Long a31698f99b refactor(core): move more tests to nodes (#34248) 2026-06-27 18:10:07 +00:00
opencode-agent[bot] 6248542c49 chore: generate 2026-06-27 17:20:42 +00:00
James Long d25c91e5eb refactor(core): move session test to nodes (#34245) 2026-06-27 13:19:14 -04:00
James Long 5d63020dcd test(core): cover app node builder graphs (#34244) 2026-06-27 16:54:18 +00:00
opencode-agent[bot] 062f54590e chore: generate 2026-06-27 16:30:47 +00:00
James Long a76c6918d2 refactor(core): rename app node modules (#34238) 2026-06-27 12:29:21 -04:00
Ben Guthrie 2b91a6f210 fix(tui): register prompt.skills keybinds (#34180) 2026-06-27 11:06:14 -05:00
opencode-agent[bot] 10579cceb2 chore: generate 2026-06-27 15:38:27 +00:00
Aarav Sareen 25702e01ce feat(app): new debug bar (#34237) 2026-06-27 15:37:02 +00:00
James Long ecc5c44d9a refactor(core): make node build bind maps conditionally (#34218) 2026-06-27 11:09:07 -04:00
Aarav Sareen f5a0b920a2 feat(app): minor visual updates (#34205) 2026-06-27 18:07:17 +08:00
Brendan Allan 2caa016fe1 fix(app): batch new session tab navigation (#34196) 2026-06-27 17:13:09 +08:00
opencode-agent[bot] 6861fedd09 chore: generate 2026-06-27 07:43:42 +00:00
Luke Parker 3d072112ce fix(app): reconcile session pages with concurrent events (#34042) 2026-06-27 17:42:17 +10:00
OpeOginni bdfea046db fix(desktop): recognize normal auth metadata input prompts in connect provider dialog (#33024)
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2026-06-27 05:19:59 +00:00
Aarav Sareen a2d08fb63b feat(app): update home screen alignment + markdown styles (#34172) 2026-06-27 13:00:52 +08:00
opencode-agent[bot] 5a55135d89 fix(ui): make select hover feedback immediate (#34121)
Co-authored-by: 𝓛𝓲𝓽𝓽𝓵𝓮 𝓕𝓻𝓪𝓷𝓴 <little-frank@opencord.local>
2026-06-27 12:47:32 +08:00
opencode-agent[bot] 8870d36e0f fix(app): space home sessions from scrollbar (#34132)
Co-authored-by: 𝓛𝓲𝓽𝓽𝓵𝓮 𝓕𝓻𝓪𝓷𝓴 <little-frank@opencord.local>
2026-06-27 12:46:33 +08:00
opencode-agent[bot] eb923c27ca chore: update nix node_modules hashes 2026-06-27 04:27:56 +00:00
opencode-agent[bot] 9903abc704 fix(opencode): allow empty provider config default (#34167)
Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-26 23:19:42 -05:00
opencode-agent[bot] 225a1fbf35 chore: generate 2026-06-27 04:10:30 +00:00
Dax Raad 93159bccbf feat(core): port v2 runtime fixes onto dev
Cherry-picks the packages/core changes from the v2 branch onto dev:
- combined ordered stdout/stderr in AppProcess + bash structured output
- edit/apply-patch return FileDiff info with status and line stats
- ignore no-op model switches; record reasoning timestamps
- return unexpected local tool defects to the model and continue
- keep OAuth account metadata out of request bodies
- nest OpenAI reasoning effort/summary options
- load OpenCode provider config asynchronously; batch plugin boot
- export latest public event manifest

Includes the supporting schema reasoning time field and regenerated
client/SDK types.
2026-06-27 00:07:25 -04:00
opencode-agent[bot] fab8ec4f54 fix(app): migrate composer tooltips to v2 (#34147)
Co-authored-by: Jay V <air@live.ca>
Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
2026-06-27 14:01:45 +10:00
opencode-agent[bot] a3035c53ea chore: update nix node_modules hashes 2026-06-27 03:47:28 +00:00
Aiden Cline 36c416e143 fix(mcp): request refresh token scope (#34125) 2026-06-26 22:27:43 -05:00
Aiden Cline e1e0304a96 fix(mcp): surface OAuth completion errors (#34145) 2026-06-26 22:21:16 -05:00
opencode-agent[bot] 71c3a7c8f2 chore: generate 2026-06-27 02:47:33 +00:00
James Long ecdfff5a42 refactor(core): separate out location node functionality and integrate into v2 (#34119) 2026-06-26 22:46:07 -04:00
opencode-agent[bot] 4b948c5d74 fix(app): hide home session archive action (#34136)
Co-authored-by: 𝓛𝓲𝓽𝓽𝓵𝓮 𝓕𝓻𝓪𝓷𝓴 <little-frank@opencord.local>
2026-06-27 02:23:36 +00:00
opencode-agent[bot] cd56c51e2d fix(app): keep bare slash as plain inline code (#34122)
Co-authored-by: 𝓛𝓲𝓽𝓽𝓵𝓮 𝓕𝓻𝓪𝓷𝓴 <little-frank@opencord.local>
2026-06-26 22:21:01 +00:00
opencode-agent[bot] 43e39d7f68 fix(tui): use generated event union (#34118)
Co-authored-by: 𝓛𝓲𝓽𝓽𝓵𝓮 𝓕𝓻𝓪𝓷𝓴 <little-frank@opencord.local>
2026-06-26 18:04:53 -04:00
Frank 7a17925495 zen: new inference
deploy / deploy (push) Has been cancelled
2026-06-26 16:25:07 -04:00
Brendan Allan 5acb2530b4 fix(app): centralize notification state (#34105) 2026-06-26 19:24:33 +00:00
opencode-agent[bot] 44a6787359 chore: generate 2026-06-26 19:18:18 +00:00
Kit Langton 42e6b7db32 feat(sdk): expose live event stream (#34098) 2026-06-26 21:16:33 +02:00
opencode-agent[bot] 2c02f8bace chore: update nix node_modules hashes 2026-06-26 18:53:34 +00:00
Affan Ali 2ec20e576b fix(app): slow tooltip display for models (#30745)
Co-authored-by: affanali2k3 <affanalikhanxx@gmail.com>
2026-06-27 02:53:08 +08:00
opencode-agent[bot] 20f47fec7a chore: generate 2026-06-26 18:51:42 +00:00
Kit Langton 65210f2d97 feat(api): add finite durable session history pages (#34097) 2026-06-26 14:49:47 -04:00
Brendan Allan af0b7ffae7 fix(app): animate prompt selectors after loading (#34101) 2026-06-27 02:36:01 +08:00
2334 changed files with 197330 additions and 414419 deletions
-7
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@@ -1,7 +0,0 @@
---
"@opencode-ai/client": patch
"@opencode-ai/protocol": patch
"@opencode-ai/cli": patch
---
Expose background-service lifecycle status, preserve one process-held owner through startup and failure, reconnect TUIs without activating replacement, and stop exact service instances gracefully.
-5
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@@ -1,5 +0,0 @@
---
"@opencode-ai/cli": patch
---
Expose a TUI plugin slot at the top of the session view.
-7
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@@ -1,7 +0,0 @@
---
"@opencode-ai/client": patch
"@opencode-ai/plugin": patch
"@opencode-ai/protocol": patch
---
Expose transient, read-only session generation through the HTTP API, generated clients, and V2 plugin session context.
-5
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@@ -1,5 +0,0 @@
---
"@opencode-ai/cli": patch
---
Expose a TUI plugin slot above the session composer.
-1
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@@ -1,3 +1,2 @@
packages/core/migration/**/snapshot.json linguist-generated
packages/core/src/database/migration.gen.ts linguist-generated
packages/core/src/**/*.txt text eol=lf
+1 -5
View File
@@ -1,5 +1,4 @@
adamdotdevin
arvsrn
Brendonovich
fwang
Hona
@@ -8,14 +7,11 @@ jayair
jlongster
kitlangton
kommander
ludvigrask
MrMushrooooom
nexxeln
R44VC0RP
rekram1-node
thdxr
simonklee
Slickstef11
usrnk1
vimtor
StarpTech
starptech
+2 -63
View File
@@ -6,7 +6,6 @@ on:
branches:
- ci
- dev
- v2
- beta
- fix/npm-native-binary-install
- snapshot-*
@@ -32,9 +31,6 @@ permissions:
contents: write
packages: write
env:
OPENCODE_CHANNEL: ${{ (github.ref_name == 'v2' && 'next') || '' }}
jobs:
version:
runs-on: blacksmith-4vcpu-ubuntu-2404
@@ -121,61 +117,12 @@ jobs:
outputs:
version: ${{ needs.version.outputs.version }}
build-node-cli:
needs: version
if: github.repository == 'anomalyco/opencode'
strategy:
fail-fast: false
matrix:
settings:
- target: linux-arm64
host: blacksmith-4vcpu-ubuntu-2404-arm
- target: linux-x64
host: blacksmith-4vcpu-ubuntu-2404
- target: darwin-arm64
host: macos-26
- target: windows-arm64
host: blacksmith-4vcpu-windows-2025
- target: windows-x64
host: blacksmith-4vcpu-windows-2025
runs-on: ${{ matrix.settings.host }}
defaults:
run:
shell: bash
steps:
- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
- uses: ./.github/actions/setup-bun
with:
install-flags: --os=* --cpu=*
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
with:
node-version: "26.4.0"
- name: Build
run: bun packages/cli/script/build-node.ts --target=${{ matrix.settings.target }} --skip-install --outdir=dist/node
env:
OPENCODE_VERSION: ${{ needs.version.outputs.version }}
OPENCODE_RELEASE: ${{ needs.version.outputs.release }}
- name: Verify service lifecycle
if: matrix.settings.target != 'windows-arm64'
working-directory: packages/cli
run: bun run script/service-smoke.ts --node
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: opencode-node-cli-${{ matrix.settings.target }}
path: packages/cli/dist/node/cli-node-*
if-no-files-found: error
sign-cli-windows:
needs:
- build-cli
- version
runs-on: blacksmith-4vcpu-windows-2025
if: github.repository == 'anomalyco/opencode' && github.ref_name != 'v2'
if: github.repository == 'anomalyco/opencode'
env:
AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
AZURE_TENANT_ID: ${{ secrets.AZURE_TENANT_ID }}
@@ -274,7 +221,7 @@ jobs:
needs:
- build-cli
- version
if: github.repository == 'anomalyco/opencode' && github.ref_name != 'v2'
if: github.repository == 'anomalyco/opencode'
continue-on-error: false
env:
AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
@@ -462,7 +409,6 @@ jobs:
needs:
- version
- build-cli
- build-node-cli
- sign-cli-windows
- build-electron
if: always() && !failure() && !cancelled()
@@ -501,7 +447,6 @@ jobs:
path: packages/opencode/dist
- uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
if: github.ref_name != 'v2'
with:
name: opencode-cli-signed-windows
path: packages/opencode/dist
@@ -511,12 +456,6 @@ jobs:
name: opencode-preview-cli
path: packages/cli/dist
- uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
with:
pattern: opencode-node-cli-*
path: packages/cli/dist/node
merge-multiple: true
- uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
if: needs.version.outputs.release
with:
+5 -24
View File
@@ -4,7 +4,6 @@ on:
push:
branches:
- dev
- v2
pull_request:
workflow_dispatch:
@@ -70,36 +69,18 @@ jobs:
env:
OPENCODE_EXPERIMENTAL_DISABLE_FILEWATCHER: ${{ runner.os == 'Windows' && 'true' || 'false' }}
- name: Verify compiled service lifecycle
if: always()
timeout-minutes: 10
working-directory: packages/cli
run: |
bun run script/build.ts --single --skip-install
bun run script/service-smoke.ts
- name: Setup Node build runtime
if: always()
uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
with:
node-version: "26.4.0"
- name: Verify Node build
if: always()
timeout-minutes: 15
working-directory: packages/cli
run: |
bun run script/build-node.ts --single --skip-install --outdir=dist/node
bun run script/service-smoke.ts --node
- name: Check generated client
if: runner.os == 'Linux'
working-directory: packages/client
run: bun run check:generated
- name: Run HttpApi exerciser gates
if: runner.os == 'Linux'
working-directory: packages/opencode
run: bun run test:httpapi
e2e:
name: e2e (${{ matrix.settings.name }})
if: github.ref_name != 'v2' && github.head_ref != 'v2'
strategy:
fail-fast: false
matrix:
+2 -2
View File
@@ -2,9 +2,9 @@ name: typecheck
on:
push:
branches: [dev, v2]
branches: [dev]
pull_request:
branches: [dev, v2]
branches: [dev]
workflow_dispatch:
jobs:
-3
View File
@@ -11,10 +11,8 @@ node_modules
playground
tmp
dist
dist-node
ts-dist
.turbo
.typecheck-profiles
**/.serena
.serena/
**/.omo
@@ -26,7 +24,6 @@ Session.vim
a.out
target
.scripts
.cache
.direnv/
# Local dev files
-254
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@@ -1,254 +0,0 @@
---
name: opencode-drive
description: Use when an agent needs drive OpenCode via a script or interact with an isolated instance
---
# OpenCode Drive
Use `opencode-drive` to launch an isolated OpenCode instance and control it via commands or a script.
There are two modes. Always default to using a script unless specifically directed to be interactive (connect
to an existing running instance, or start a new one, and make a few changes to the UI and read it, and iterate
on changes).
Scripts allow you to run a full walkthrough in one run. When the script is done opencode-drive exits,
stops all processes, and cleans up all artifacts.
# Prepare The Environment
Use `init` when files must be added to the isolated home or project before OpenCode starts. It prints the artifact directory without launching OpenCode. A later `start` with the same name reuses it.
```bash
artifacts=$(opencode-drive init --name demo)
cp -R ./fixtures/home/. "$artifacts/"
cp -R ./fixtures/project/. "$artifacts/files/"
opencode-drive start --name demo --dev ~/projects/opencode
```
The simulated project is under `$artifacts/files`. Running `start` without a prior `init` initializes the artifacts automatically.
# Scripted usage
You can write scripts that walk through entire flows, and gives you full access to controlling
the backend too. See examples of the script API at the bottom of this file.
After creating or editing a script, always typecheck it before running. Never skip this step:
```bash
opencode-drive check ./reproduce-stale-exploring-empty.ts
```
Run it by passing `--script` to start:
```bash
opencode-drive start --name auto-stop-reproduction --script ./reproduce-stale-exploring-empty.ts
```
It will output information about the run, including paths to log files which you can read
to inspect what happened. If you need to dig into failures that aren't clear, read those log
files. If the script is unsuccessful, automatically fix the script and run it again.
Scripts use one typed definition object. `setup` runs before OpenCode starts,
and `fs.writeFile` always writes inside the simulated project.
You can read the full typed API here: https://raw.githubusercontent.com/jlongster/opencode-drive/refs/heads/main/src/script/types.ts
```ts
import { defineScript } from "opencode-drive"
export default defineScript({
async setup({ fs, config }) {
config.autoupdate = false
await fs.writeFile("src/example.ts", "export const value = 1\n")
},
async run({ ui, llm }) {
await ui.submit("Open src/example.ts")
await llm.send(llm.text("The file exports `value`."))
await ui.waitFor("The file exports `value`.")
},
})
```
`setup` receives the current OpenCode config object, which starts from the
default drive config unless the prepared instance already has one. When a script
needs custom config, mutate this `config` parameter instead of generating and
writing a new config object from scratch, so the script keeps the default
provider/model settings unless it intentionally changes them.
Note that the simulated model is a GPT model type, and opencode uses the `patch` tool for working with files Do not use a `edit` or `write` tool to edit files.
Use `launch: "manual"` when the script needs to launch the server and every TUI
itself (this is extremely rare, do not use this unless explicitly asked). In this
mode `ui` is typed as `null`; call `server.launch()` exactly
once before launching clients. Each `clients.launch(name)` result provides the
same UI methods as the automatic client. You can see an example of this API
here: https://raw.githubusercontent.com/jlongster/opencode-drive/refs/heads/main/examples/multiple-clients.ts
Use the exported `wait(milliseconds)` utility for an unconditional delay.
`await llm.send(...)` waits for the next request and resolves after OpenCode
acknowledges its complete response. `llm.queue(...)` declares responses in
advance. Chunks may be built with `text`, `reasoning`, `toolCall`, `raw`,
`finish`, and `disconnect`. A normal response receives `finish("stop")`
automatically unless it yields or queues an explicit terminal event.
`llm.text(text, { delay, chunkSize })` defaults to a 2 ms delay and a
15-character target varied by plus or minus 5 per chunk.
`llm.reasoning` accepts the same options, and `llm.pause(milliseconds)` adds a
delay between any two outputs.
Use `llm.serve` for an ongoing typed response generator:
```ts
llm.serve(async function* (request, index) {
yield llm.reasoning(`Handling request ${index + 1}`)
yield llm.text(`Received ${request.id}`)
yield llm.finish("stop")
})
```
The backend connection, response cleanup, cancellation, and recording
completion are automatic.
You can see some example scripts here:
- https://raw.githubusercontent.com/jlongster/opencode-drive/refs/heads/main/examples/simple.ts
- https://raw.githubusercontent.com/jlongster/opencode-drive/refs/heads/main/examples/serve.ts
## Prune
- `prune` removes artifact directories. These are always cleaned up after running a script
successfully, but leftover on failed runs. Always call this if a script fails.
```bash
opencode-drive prune --name demo
// --force cleans up all artifcat directories
opencode-dirve prune --force
```
# Live interaction usage
- Always give headless instances a unique `--name`. Visible instances may omit it.
- A normal headless `start` detaches automatically and returns after the instance is ready.
- Do not add `&`; the long-running owner already runs in the background.
- Configure simulated model responses after startup when needed.
- Send ordered UI commands with `send`.
- Always stop the instance when finished.
```bash
opencode-drive start --name demo
opencode-drive send --name demo \
--command.ui.type '{"text":"Explain this project"}' \
--command.ui.enter
opencode-drive stop --name demo
```
## Send UI Commands
- Every `send` opens a connection to the named instance, runs its commands in order, and exits.
- Combine typing and Enter in one command when submitting a prompt.
- JSON-valued commands require one JSON argument.
- Multiple command flags execute from left to right.
Commands:
- `--command.ui.type <json>` types into the focused editor. Arguments: `text` string.
- `--command.ui.press <json>` presses a key. Arguments: `key` string; optional `modifiers` object with boolean `ctrl`, `shift`, `meta`, `super`, or `hyper`.
- `--command.ui.enter` presses Enter. Arguments: none.
- `--command.ui.arrow <json>` presses an arrow key. Arguments: `direction` is `up`, `down`, `left`, or `right`.
- `--command.ui.focus <json>` focuses an element. Arguments: `target` is the numeric element `num` returned by `ui.state`.
- `--command.ui.click <json>` clicks an element. Arguments: numeric `target`, `x`, and `y`; use the element `num` returned by `ui.state` as `target`.
- `--command.ui.state` prints focus and interactive element metadata as JSON. Arguments: none.
- `--command.ui.matches <json>` prints whether literal, case-sensitive text appears on screen. Arguments: `text` string.
```bash
opencode-drive send --name demo \
--command.ui.type '{"text":"Find the relevant code and explain it"}' \
--command.ui.enter
opencode-drive send --name demo \
--command.ui.press '{"key":"p","modifiers":{"ctrl":true}}'
opencode-drive send --name demo \
--command.ui.arrow '{"direction":"down"}'
opencode-drive send --name demo \
--command.ui.focus '{"target":12}'
opencode-drive send --name demo \
--command.ui.click '{"target":12,"x":4,"y":1}'
opencode-drive send --name demo \
--command.ui.matches '{"text":"OpenCode"}'
```
To read the UI state and see information about interactable elements, use the `ui.state` command:
```bash
opencode-drive send --name demo --command.ui.state
```
## Configure LLM Responses
- `responses` controls what the LLM responds with
- Only use this if you are wanting to reproduce an exact type of response
- Defaults are `text,reasoning,diff,tool` with `write,apply_patch`.
- Supported types are `text`, `reasoning`, `diff`, and `tool`.
- `--tools` limits generated tool calls to names offered by OpenCode.
```bash
opencode-drive responses --name demo \
--types text,reasoning,diff,tool \
--tools write,apply_patch
opencode-drive responses --name demo \
--types tool \
--tools read,glob,grep
```
## Inspect The UI
- `ui.state` prints focus and interactive element metadata as JSON.
- `ui.matches` checks for literal, case-sensitive screen text.
- `screenshot` prints the generated image path.
```bash
opencode-drive screenshot --name demo
```
## Lifecycle
- `stop` waits for recording export and owner cleanup before returning.
```bash
opencode-drive stop --name demo
```
# Record The UI
- Start with `--record` to capture a headless instance from its first rendered frame.
- `stop` finishes the recording, exports an MP4, and prints its path.
```bash
opencode-drive start --name demo --record
opencode-drive send --name demo \
--command.ui.type '{"text":"Show me the current architecture"}' \
--command.ui.enter
opencode-drive stop --name demo
```
# Artifacts dir
- `dir` prints the artifact directory for the instance.
```bash
opencode-drive dir --name demo
```
-31
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@@ -1,31 +0,0 @@
---
name: sample-skill
description: Use when the user says sample skill, skill demo, or asks how an opencode SKILL.md should be structured; demonstrates a tiny project-local skill with practical assistant workflow guidance.
---
# Sample Skill
This is a minimal project-local opencode skill. It exists as a reference for how a skill is structured and as a tiny reusable workflow the assistant can load when the user asks for a skill example.
## When To Use
- Use when the user asks for a sample skill or skill template.
- Use when demonstrating the required `SKILL.md` frontmatter and body format.
- Do not use for unrelated coding tasks just because a skill exists.
## Workflow
- Confirm the specific outcome the user wants if the request is ambiguous.
- Inspect the relevant files before changing anything.
- Make the smallest correct change.
- Verify the result with a focused read, typecheck, test, or other lightweight check when available.
- Summarize the changed files and any required restart or reload step.
## Example Response Style
When this skill is relevant, keep responses direct and actionable:
```text
I created a project-local skill at .opencode/skills/sample-skill/SKILL.md.
Restart opencode for the new skill to be discovered by future sessions.
```
+1 -1
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@@ -4,7 +4,7 @@ import { tool } from "@opencode-ai/plugin"
const TEAM = {
tui: ["kommander", "simonklee"],
desktop_web: ["Hona", "Brendonovich"],
core: ["jlongster", "rekram1-node", "nexxeln", "kitlangton"],
core: ["jlongster", "rekram1-node", "nexxeln", "kitlangton", "starptech"],
inference: ["fwang", "MrMushrooooom", "starptech"],
windows: ["Hona"],
} as const
+6 -11
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@@ -1,7 +1,6 @@
- To regenerate the legacy JavaScript SDK, run `./packages/sdk/js/script/build.ts`.
- After changing the public Protocol or Server `HttpApi`, run `bun run generate` from `packages/client`. Do not edit `src/generated` or `src/generated-effect` directly.
- Keep runtime dependencies directed from Schema to Core and Protocol, then from Core and Protocol to Server. Client runtime code may depend on Schema and Protocol but never Core or Server; `sdk-next` composes Client, Core, and Server.
- Do not modify `packages/opencode` unless the user explicitly asks for V1 work. `packages/opencode` is the V1 implementation and is present for reference only. New implementation changes should land in the V2 package set: `packages/core`, `packages/cli`, `packages/server`, `packages/protocol`, `packages/schema`, and related generated client surfaces when required.
- The default branch in this repo is `dev`.
- Local `main` ref may not exist; use `dev` or `origin/dev` for diffs.
@@ -25,7 +24,6 @@ Examples: `fix(tui): simplify thinking toggle styling`, `docs: update contributi
- Keep things in one function unless composable or reusable
- Do not extract single-use helpers preemptively. Inline the logic at the call site unless the helper is reused, hides a genuinely complex boundary, or has a clear independent name that improves the caller.
- Before adding complexity for a speculative or vanishingly unlikely race or security edge case, explain the concrete failure mode, likelihood, and complexity cost to the user and get their buy-in. Do not silently expand scope for theoretical robustness.
- Avoid `try`/`catch` where possible
- Avoid using the `any` type
- Use Bun APIs when possible, like `Bun.file()`
@@ -152,15 +150,12 @@ const table = sqliteTable("session", {
## V2 Session Core
- Keep durable events minimal: record irreducible new facts and do not repeat state derivable by folding the ordered aggregate history. Enrich projections and read models with previous or derived state when consumers need self-contained views.
- Keep durable prompt admission separate from model execution. `SessionV2.prompt(...)` admits one durable `session_pending` row before scheduling advisory `SessionExecution.wake(sessionID)` unless `resume: false` requests admit-only behavior. The serialized runner promotes admitted inputs into visible user messages at safe boundaries, consuming the pending row in the same event transaction; `session_pending` stores only unconsumed work.
- Reusing a Session ID adopts the existing Session. Reusing a prompt message ID reconciles an exact retry only when Session, prompt, and delivery mode match; conflicting reuse fails. Retry of an already-promoted input reconciles against the projected message and the durable admitted event rather than a retained row.
- Keep `SessionExecution` process-global and Session-ID based. Its local implementation owns the process-local Session coordinator and discovers placement through `SessionStore` plus `LocationServiceMap.get(session.location)` only when a drain starts; no layer should take a Session ID. V2 interruption targets the active process-local ownership chain for that Session; interruption of a known but idle or locally unowned Session is a no-op, while the public API rejects an unknown Session.
- Keep durable prompt admission separate from model execution. `SessionV2.prompt(...)` admits one durable `session_input` row before scheduling advisory `SessionExecution.wake(sessionID)` unless `resume: false` requests admit-only behavior. The serialized runner promotes admitted inputs into visible user messages at safe boundaries.
- Reusing a Session ID adopts the existing Session. Reusing a prompt message ID reconciles an exact retry only when Session, prompt, and delivery mode match; conflicting reuse fails. Historical projected prompts lazily synthesize promoted inbox records during exact retry.
- Keep `SessionExecution` process-global and Session-ID based. Its local implementation owns the process-local Session coordinator and discovers placement through `SessionStore` plus `LocationServiceMap.get(session.location)` only when a drain starts; no layer should take a Session ID. V2 interruption targets the active process-local ownership chain for that Session; idle or missing interruption is a no-op.
- Keep `SessionRunner`, model resolution, tool registry, permissions, and filesystem Location-scoped. Omitted `Location.workspaceID` means implicit-local placement; explicit workspace identity remains reserved for future placement semantics.
- Preserve one explicit `llm.stream(request)` call per Physical Attempt and reload projected history before durable continuation. Most Steps have one Physical Attempt; overflow-triggered compaction recovery may rebuild one Step for a second attempt. Do not bridge through legacy `SessionPrompt.loop(...)` or delegate orchestration to an in-memory tool loop.
- Preserve one explicit `llm.stream(request)` call per provider turn and reload projected history before durable continuation. Do not bridge through legacy `SessionPrompt.loop(...)` or delegate orchestration to an in-memory tool loop.
- Keep local Session drains process-local until clustering is implemented. `SessionRunCoordinator` joins explicit same-Session resumes, coalesces prompt wakeups, and allows different Sessions to run concurrently. Advisory wakes drain eligible durable inbox rows only; post-crash continuation recovery requires a separate explicit design before it may retry provider work. A drain has no durable identity or transcript boundary.
- Keep delivery vocabulary explicit. Prompts steer by default and promote at the next safe step boundary while the current drain requires continuation. An explicit `queue` input remains pending until the Session would otherwise become idle; promote one queued input at that boundary, then reevaluate continuation before promoting another. Promoting any new user input resets the selected agent's step allowance; a batch of steers resets it once.
- One step is one logical LLM call; its durable record covers only the model-visible span. Do not write "provider turn", and do not use bare "turn" for a single call: "turn" is reserved for the future assistant-turn unit containing all steps from prompt promotion until the session would go idle.
- Keep delivery vocabulary explicit. Prompts steer by default and promote at the next safe provider-turn boundary while the current drain requires continuation. An explicit `queue` input remains pending until the Session would otherwise become idle; promote one queued input at that boundary, then reevaluate continuation before promoting another. Promoting any new user input resets the selected agent's provider-turn allowance; a batch of steers resets it once.
- Keep EventV2 replay owner claims separate from clustered Session execution ownership.
- Keep the Instructions algebra and built-ins in `src/instructions`; keep instruction producers with their observed domains, and keep Session History selection plus `InstructionState` and `InstructionEntry` persistence Session-owned. `InstructionDiscovery` observes ambient global and upward-project instructions. The runner composes built-ins, discovery, guidance, and entries explicitly in `loadInstructions`; there is no instruction registry.
- `session.instructions.updated` stores only changed source keys and content hashes. Blob values live once in `instruction_blob`; `instruction_state` is a rebuildable fold cache, never primary state. Render initial instructions and chronological updates from values during request assembly. Completed compaction moves the instruction epoch; Session movement and committed revert clear it. Unavailable sources retain the last value and block only the initial complete delta.
- Keep the System Context algebra, registry, and built-ins in `src/system-context`; keep Context Source producers with their observed domains, and keep Session History selection plus Context Epoch persistence Session-owned.
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# OpenCode Session Runtime
OpenCode sessions preserve durable conversational history while assembling the runtime context an agent needs to act correctly in its current environment.
## Language
**System Context**:
The structured collection of contextual facts presented to the model as initial instructions and chronological updates.
_Avoid_: System prompt
**Session History**:
The projected chronological conversation selected for a provider turn after applying the active compaction and **Context Epoch** cutoffs.
_Avoid_: Session Context
**Context Source**:
One independently observed typed value within the **System Context**, represented by a stable key, JSON codec, infallible loader, pure baseline/update renderers, and an optional removal renderer for dynamic sources.
_Avoid_: Prompt fragment
**System Context Registry**:
The Location-scoped registry of ordered, scoped producers that contribute to the current **System Context**.
**Mid-Conversation System Message**:
A durable chronological instruction that tells the model the newly effective state of a changed **Context Source**.
_Avoid_: System update, system notification, raw text diff
**Context Epoch**:
The span during which one initially rendered **System Context** remains the immutable provider-cache baseline, ending at completed compaction, Session movement, or an incompatible context transition that requires a fresh baseline.
**Baseline System Context**:
The full **System Context** rendered at the start of a **Context Epoch**.
_Avoid_: Live system prompt
**Context Snapshot**:
The overwriteable model-hidden JSON state used to compare each **Context Source** with the value last admitted to a provider turn.
**Unavailable Context**:
An expected temporary inability to observe a **Context Source** value; the runtime retains its prior effective state and emits no update, or omits it until first successfully loaded.
**Safe Provider-Turn Boundary**:
The point immediately before a provider call, after durable input promotion and any required tool settlement, where context changes may be admitted chronologically.
**Admitted Prompt**:
A durable user input accepted into the Session inbox but not yet included in **Session History**.
**Prompt Promotion**:
The durable transition that removes an **Admitted Prompt** from pending input and appends its user message to **Session History**.
**Provider Turn**:
One request to a model provider and the response projected from that request.
**Session Drain**:
One process-local execution span that promotes eligible input and runs required **Provider Turns** until no immediate continuation remains. A Session Drain has no durable identity or transcript boundary.
**Model Tool Output**:
The bounded projection of a Core-executed tool result persisted in Session history and replayed to the model. A tool may shape this projection semantically, but the Tool Registry enforces the final size limit.
**Managed Tool Output File**:
A temporary file created under OpenCode's shared tool-output directory to retain complete output that was too large for Session history.
**Model Request Options**:
Provider-semantic model settings selected from the Catalog and active Session variant before the LLM protocol adapter encodes them for a provider request.
_Avoid_: Request body, wire options
**Generation Controls**:
Provider-neutral sampling and output controls, partitioned from provider semantics and compatibility wire fields when model metadata enters the Catalog.
**Native Continuation Metadata**:
Opaque protocol-shaped data attached to assistant content and required to continue that content natively with a compatible model, such as a reasoning signature or provider-hosted item identifier.
**PTY Environment**:
The host-supplied environment overlay applied by the server when creating a PTY, observed for the request Location and resolved PTY working directory.
**OpenCode Client**:
The generated Promise and Effect APIs derived from the public `HttpApi`; **Embedded OpenCode** shares the Effect API through an in-memory `HttpClient` against the same router and handlers.
_Avoid_: Remote client
**SDK Contract IR**:
The runtime-neutral compiled representation of the authoritative `HttpApi`, preserving encoded and decoded type projections plus transport metadata so independent SDK emitters can choose their public value model and runtime interpreter.
**Embedded OpenCode**:
A scoped in-process host that structurally extends the **OpenCode Client**, supplies an in-memory HTTP transport, and exposes additional same-process capabilities directly.
_Avoid_: Local implementation
**Page**:
A bounded ordered result containing `items` and opaque `previous` and `next` cursor links for navigating the same query in either direction.
_Avoid_: Response envelope
## Relationships
- A **System Context** is an opaque carrier composed from zero or more **Context Sources**.
- **Session History** contains projected conversational messages and admitted **Mid-Conversation System Messages**; the active **Baseline System Context** remains separate provider-request state.
- The **System Context Registry** uses stable-keyed scoped contributions to assemble the current **System Context**; contributor removal naturally removes its sources at the next **Safe Provider-Turn Boundary**.
- A changed **Context Source** may produce one **Mid-Conversation System Message** containing its newly effective state.
- A **Mid-Conversation System Message** persists the exact combined rendered text sent to the model.
- The current **Context Snapshot** advances atomically with the corresponding durable **Mid-Conversation System Message**.
- A **Context Snapshot** stores one codec-encoded JSON value and, for removable dynamic sources, a pre-rendered removal message per stable **Context Source** key.
- Changes from multiple **Context Sources** admitted at one safe boundary combine into one **Mid-Conversation System Message**.
- Context changes are sampled and admitted lazily at a **Safe Provider-Turn Boundary**, never pushed asynchronously when their source changes.
- At a **Safe Provider-Turn Boundary**, newly promoted user input or settled tool results precede any combined **Mid-Conversation System Message**.
- An **Admitted Prompt** is replayable pending input, not yet model-visible **Session History**.
- **Prompt Promotion** atomically consumes the pending inbox entry and appends its model-visible user message.
- Steering prompts promote at the next **Safe Provider-Turn Boundary** while the current **Session Drain** still requires continuation. Promoting any newly admitted user input resets the selected agent's provider-turn allowance; multiple prompts promoted at one boundary reset it once.
- A queued prompt does not promote while the current **Session Drain** requires continuation. The runner promotes one queued prompt when the Session would otherwise become idle, then reevaluates continuation before promoting another.
- A **Session Drain** is process-local coordination rather than a durable domain entity. Durable recovery must reason from prompts, projected history, provider attempts, and tool state rather than inventing an enclosing execution identity.
- The first provider turn renders the latest complete **Baseline System Context** and initializes its **Context Snapshot** without emitting a redundant **Mid-Conversation System Message**; unavailable initial context blocks the turn instead of persisting an incomplete baseline.
- Initial **System Context** preparation precedes the first durable input promotion so an unavailable baseline leaves that input pending and retryable; ordinary reconciliation remains after promotion.
- Compaction starts a new **Context Epoch** with a freshly rendered **Baseline System Context** and **Context Snapshot**; prior **Mid-Conversation System Messages** remain durable audit history but leave projected model history.
- A newly registered core or plugin-defined **Context Source** absent from the current snapshot emits its baseline rendering once at the next **Safe Provider-Turn Boundary**.
- **Context Source** keys are stable and namespaced; duplicate keys fail composition. `SystemContext.combine(...)` preserves caller order; the **System Context Registry** evaluates producers concurrently and combines them in stable contribution-key order so rendered context remains deterministic.
- Each **Context Source** loader returns one coherent typed value. `SystemContext.make(...)` hides that value type so differently typed sources compose uniformly. Its codec compares and stores that value; its pure renderers produce model-visible baseline, update, and removal text only when needed.
- `SystemContext.initialize(...)` observes a composed **System Context** once and produces a fresh **Baseline System Context** with its **Context Snapshot**.
- `SystemContext.reconcile(...)` observes a composed **System Context** once and returns exactly one next action: unchanged, updated, replacement ready, or replacement blocked.
- `SystemContext.replace(...)` renders a fresh generation after completed compaction or another baseline-replacing transition; it reports replacement blocked while previously admitted context is unavailable.
- **Unavailable Context** uses stale-while-revalidate semantics and is distinct from a successfully loaded absence, which may emit removal text.
- Ordinary **Context Source** loaders return values directly; loaders that intentionally use stale-while-revalidate may explicitly return **Unavailable Context**.
- Nested project instruction discovery after successful reads remains a follow-up; when implemented, discovered instructions must be admitted durably at the next **Safe Provider-Turn Boundary**.
- Location-scoped services naturally re-resolve effective context when a moved session next runs in its destination location.
- Moving a Session clears its active **Context Epoch**, so the destination must initialize a complete baseline before another prompt can promote.
- Instruction discovery, source identity, persistence, and file loading belong to the instruction service; the **System Context** abstraction only composes effectful producers and renders loaded values.
- The first instruction-service slice observes global and upward project `AGENTS.md` files as one ordered aggregate **Context Source** at each **Safe Provider-Turn Boundary**.
- Built-in and instruction context producers register through the **System Context Registry** with stable contribution keys. Plugin-defined context registration and hot-reload lifecycle remain a follow-up built on the same scoped registry seam.
- Selected-agent available-skill guidance is a **Context Source** composed with Location-wide registry sources immediately before Context Epoch admission. It lists only names and descriptions permitted for that agent; skill bodies and locations are exposed only through the permission-checked `skill` tool.
- The selected agent and model are sampled when a provider turn starts. Changes admitted after that boundary apply to the next provider turn and do not restart the current turn.
- Selected-agent available-skill guidance remains a **Context Source**. An agent switch that changes that guidance produces a **Mid-Conversation System Message** while preserving the current baseline.
- Local tool authorization and pending permission requests retain the effective agent of the provider turn that issued the call; a later agent switch cannot change that call's policy.
- Context source changes never wake idle sessions; the next naturally scheduled **Safe Provider-Turn Boundary** loads and compares current values lazily.
- Once admitted, a **Mid-Conversation System Message** remains durable even if the following provider attempt fails and is replayed unchanged on retry.
- **Mid-Conversation System Messages** remain durable Session-message history; normal user-facing transcript surfaces may hide them.
- The date **Context Source** initially preserves host-local calendar-date behavior; a configured user timezone may replace that default later.
- A **Context Epoch** begins with one immutable **Baseline System Context**.
- A **Baseline System Context** is stored durably and reused verbatim across process restarts within its **Context Epoch**.
- A **Baseline System Context** durably preserves the exact joined text used for the active provider-cache prefix.
- Completed compaction starts a new **Context Epoch** on the next provider attempt, folding the current complete **System Context** into a fresh baseline and removing earlier **Mid-Conversation System Messages** from active model history.
- A model/provider switch preserves the current **Context Epoch** and chronological conversation history; the new selection applies to the next provider turn.
- **Native Continuation Metadata** remains in durable history. Provider-turn projection includes it only for a successful exact originating provider/model match; failed turns and incompatible models omit opaque metadata, while non-empty visible reasoning lowers to ordinary assistant text after a model switch. This conservative relation may widen only when recorded provider tests establish compatibility.
- **Model Request Options** remain provider-semantic through Catalog resolution. The Session runner maps them into the LLM package's provider-option namespace; the selected protocol adapter alone owns provider wire encoding.
- **Generation Controls**, protocol-semantic **Model Request Options**, and compatibility request body fields are separate Catalog domains. A shared ingestion adapter partitions legacy and models.dev AI-SDK-shaped options before routing.
- The **PTY Environment** is a server concern rather than a Core PTY concern. PTY creation merges caller values, then the host overlay, then Core-forced terminal invariants such as `TERM` and `OPENCODE_TERMINAL`.
- Networked and **Embedded OpenCode** use the same **OpenCode Client** and preserve the full HTTP encoding, routing, middleware, and decoding boundary; only the `HttpClient` transport differs.
- The Effect-native network constructor obtains `HttpClient.HttpClient` from its environment so callers own transport selection, recording, tracing, retries, and tests. Convenience runtimes may provide a fetch transport separately.
- Creating **Embedded OpenCode** is scoped. Closing its owning Scope releases the in-process server resources, database resources, registrations, and fibers.
- **Embedded OpenCode** exposes shared client capabilities and embedded-only capabilities on one object; consumers do not navigate through a nested `.client` property.
- The beta **OpenCode Client** currently uses plural consumer-facing capability groups such as `sessions`; whether the stable Session namespace should instead be singular `session` must be settled before stabilization. Internal server identifiers do not implicitly define public client names.
- Server's concrete `HttpApi` is authoritative for shared **OpenCode Client** capabilities. Codegen compiles its Session group directly; the Effect runtime uses an equivalent Protocol-only projection so generated artifacts remain independent of Core and Server.
- SDK generation reflects the public `HttpApi` once into an **SDK Contract IR**. Promise and Effect emitters share endpoint structure and transport metadata without being required to expose identical public values: an emitter may select encoded wire types, decoded domain types, compile-time brands, runtime validation, and its own execution abstraction independently.
- The first Effect emitter is the rich projection: it exposes decoded Effect-native values, preserves brands and schema transformations, performs runtime schema decoding, and delegates transport interpretation to `HttpApiClient`. Lighter wire-shaped Effect output remains possible through another emitter policy rather than constraining the shared IR.
- The rich Effect emitter regenerates private executable schemas when the **SDK Contract IR** proves that their transport semantics can be reproduced exactly. Contracts with authoritative custom transformations use the import-based Effect emitter against a Protocol-only client projection whose generated transport output is tested against Server's concrete API; the Promise emitter still derives zero-Effect structural wire types from the same IR.
- `@opencode-ai/protocol` owns Session endpoint construction and middleware placement. Server supplies concrete middleware keys to produce the authoritative build-time API; the client projection supplies transport-only keys without importing Core or Server at runtime.
- The first Promise emitter targets the same clean domain-oriented method organization rather than Hey API source compatibility. It returns unwrapped values directly, rejects declared and infrastructure failures, and begins with minimal client-level transport configuration; result wrappers, interceptors, and legacy generated signatures are outside the initial surface.
- The first Promise emitter parses response syntax and trusts its generated structural types; it does not perform runtime structural validation. Malformed payload syntax fails, while a syntactically valid shape mismatch is not detected at the SDK boundary. Standalone validator generation remains an optional future emitter policy.
- Declared Promise-client failures retain their tagged structural wire values and have generated type guards. Consumers do not depend on generated `Error` subclass identity, preserving discrimination across package copies and realms while remaining structurally aligned with Effect domain errors.
- Promise-client infrastructure failures use one generated `ClientError` class with a structured reason such as transport failure, unexpected status, unsupported content type, or malformed response. Promise methods reject with either a tagged declared domain failure or `ClientError`, matching the Effect client's conceptual domain/infrastructure error division.
- Promise methods accept a separate optional per-call transport-options argument containing `AbortSignal` and header overrides. Cancellation and transport metadata do not enter the domain input object; broader interceptor and response-mode APIs remain deferred.
- Promise streaming methods return a lazy `AsyncIterable` directly rather than a Promise-wrapped stream object. Iteration opens the connection, `AbortSignal` cancels it, and ending iteration closes the underlying request; the Effect emitter analogously returns `Stream` directly.
- Promise SSE connection establishment, declared HTTP failures, and infrastructure failures occur during `AsyncIterable` iteration, beginning with its first `next()` call, rather than during synchronous method construction.
- Neither generated streaming runtime automatically reconnects after disconnection. Promise `AsyncIterable` and Effect `Stream` fail explicitly; live consumers refresh and resubscribe, while durable sequence-based resume remains explicit composition above the generated client.
- Promise client construction is synchronous and network-free. It requires `baseUrl`, defaults to `globalThis.fetch`, accepts client-level headers, and merges them with per-call header overrides.
- Effect client construction accepts an explicit `baseUrl` and obtains `HttpClient.HttpClient` from the Effect environment. It does not install fetch or duplicate per-call transport policy; callers transform/provide the client for headers, tracing, retries, recording, and tests, while fiber interruption owns cancellation.
- Promise and Effect emitters each own their generated public type modules. The **SDK Contract IR**, not a physically shared generated type package, is the common source; this permits zero-Effect wire types and rich decoded Effect types to evolve independently.
- Promise and Effect network clients ship from `@opencode-ai/client` behind isolated root and `/effect` exports. The root has no runtime path to Effect; `/effect` imports only Effect, Schema, and Protocol.
- The Effect-native scoped host belongs to `@opencode-ai/sdk-next`, which will assume the existing `@opencode-ai/sdk` name after legacy consumers migrate. Client remains network-only and SDK depends one-way on Client.
- SDK executes Server's assembled `HttpRouter` in memory. It opens no listener and performs no network I/O, while preserving Server routing, middleware, codecs, handlers, and errors.
- The Effect Client and SDK re-export their decoded datatype facade from Schema so callers do not depend on internal package locations or Core's versioned names.
- A capability intended for both networked and **Embedded OpenCode** belongs in the authoritative public `HttpApi`; embedded-only same-process capabilities extend **Embedded OpenCode** separately.
- `sessions.events({ sessionID, after })` is a public durable Session event stream. It verifies the Session, replays durable events after the optional aggregate sequence, continues with newly committed durable events, excludes live-only fragments, and is transported as SSE in both networked and embedded modes.
- `events.subscribe()` is a distinct public instance-wide live stream for Session and non-Session activity. It has no replay guarantee and includes connection, heartbeat, and instance-disposal lifecycle events; consumers recover from disconnection by refreshing authoritative state.
- A Session ID is not an optional filter on `events.subscribe()`: instance-wide live events and durable Session events have different schemas, replay guarantees, cursors, lifecycle events, and failure behavior.
- The initial common OpenCode Client does not expose server-global event aggregation. `events.subscribe()` is bounded to the connected OpenCode instance or workspace; any future cross-instance administrative stream requires a separately designed API.
- `events.subscribe()` does not automatically reconnect after transport loss. The live-only stream fails with `ClientError`; consumers refresh authoritative state before explicitly opening a new subscription because events missed during disconnection cannot be replayed.
- `sessions.events({ sessionID, after })` returns the generated HTTP client's cold durable event stream and does not build reconnection policy into the endpoint or client constructor. Transport loss fails the stream with `ClientError`. Callers may compose an explicit resuming stream above it by retaining the last observed durable sequence and opening a new subscription with `after`; any reusable resume helper remains a separate API design question.
- The stable `sessions.list(...)` design returns a **Page** in both networked and **Embedded OpenCode**; embedded execution does not define a separate unbounded array-returning list operation. The beta client currently preserves the existing HTTP `{ data, cursor }` envelope until emitter-level Page projection is implemented.
- Session list cursors are opaque branded values carrying continuation query and ordering state. Consumers pass them back unchanged and do not inspect storage anchors or encoded filter fields.
- A Session list continuation accepts only its opaque cursor. Scope, filters, ordering, and page size are fixed by the initial query and carried by that cursor.
- `sessions.messages(...)` returns a **Page** and uses the same cursor discipline as `sessions.list(...)`: the initial request supplies `sessionID`, ordering, and page size; continuation supplies `sessionID` plus only an opaque branded message cursor carrying ordering, page size, direction, and message anchor. Using a cursor with another Session is invalid.
- `sessions.message({ sessionID, messageID })` is a required resource lookup. An unknown Session fails with `SessionNotFoundError`; a known Session with an absent or differently owned message fails with `MessageNotFoundError` without disclosing cross-Session ownership. Absence is not represented as `undefined` across the public HTTP boundary.
- `sessions.interrupt({ sessionID })` first verifies that the durable Session exists, failing with `SessionNotFoundError` otherwise. For a known Session, interruption is idempotent: idle, already-settled, or locally unowned execution is a no-op.
- `sessions.active()` snapshots the current process's foreground Session drain registry as a record of Session IDs to `{ type: "running" }`. Missing IDs are inactive; background subagents and tasks do not make their parent Session active, and process restart clears the registry.
- `sessions.context({ sessionID })` preserves the existing message-only operation. It returns projected conversational messages selected as Session context; it does not include or represent the complete provider request context, whose baseline system context and other contributions remain separate.
- **Open question**: Should a future, separately named operation expose the complete provider request context, including baseline system context, selected source contributions, and context-epoch metadata?
- `sessions.prompt(...)` exposes `resume?: boolean`. Omitting it preserves durable admission followed by an advisory execution wake; `resume: false` requests durable admit-only behavior.
- The public operation remains `sessions.prompt(...)`; `SessionInput.admit` is the internal primitive, while the public `Admission` result and `resume` option express its durable admission semantics.
- `sessions.create(...)` accepts an optional `location`. Omission resolves through the connected OpenCode instance's default or current location; an explicit value selects a known location. Networked and embedded transports use the same handler semantics.
- `sessions.switchAgent({ sessionID, agent })` is part of the common client alongside `sessions.switchModel(...)`. It affects subsequent Session activity and fails with `SessionNotFoundError` for an unknown Session.
- The **Embedded OpenCode** Layer delegates to the same scoped creation path; it does not define a second implementation.
- A **PTY Environment** adapter observes plugins in the request Location while passing the resolved PTY working directory to the hook; standalone servers use an empty adapter.
- A **Mid-Conversation System Message** lowers to the provider's native chronological instruction role when supported and to a wrapped chronological fallback otherwise.
- When the effective aggregate instruction set changes, its **Mid-Conversation System Message** includes the complete current ordered set and supersedes the prior aggregate value; when no ambient instructions remain, the message states that previously loaded instructions no longer apply.
- Ambient project instruction discovery honors `OPENCODE_DISABLE_PROJECT_CONFIG`; global instructions remain eligible.
- Oversized textual **Model Tool Output** retains a bounded preview in Session history while its complete text moves to managed tool-output storage. Arbitrary structured-result size is a separate concern.
- One tool settlement receives one aggregate textual limit, using the configured maximum lines or UTF-8 bytes, whichever is reached first. The limit is provider-independent; token pressure belongs to context assembly and compaction.
- Generic truncation preserves the beginning and end of textual output. Tools may apply a more meaningful strategy before the Tool Registry enforces the final limit.
- A truncated **Model Tool Output** identifies its complete text both in the bounded model-visible preview and as a typed managed output path. Managed output paths do not modify the tool's validated structured result.
- A **Managed Tool Output File** is temporary and may expire after its retention period. The bounded **Model Tool Output**, not the file, is the durable replayable record.
- Failure to retain a **Managed Tool Output File** does not change a successful tool operation into a failed one. The Session records an explicitly lossy bounded output without a path, while operators receive diagnostics for the storage failure.
- Once a tool operation succeeds, bounding its **Model Tool Output** and publishing its one durable settlement form an interruption-safe completion region. Raw oversized success is never published before a later correction.
- When a structured-only result would exceed the **Model Tool Output** limit, its validated structured value remains unchanged for Session consumers while model replay uses a bounded textual JSON preview and optional managed output path.
- Existing tool-managed output paths survive generic bounding. A fallback file retains exactly the complete projected text received by the Tool Registry and never claims to reconstruct output already discarded by tool-specific shaping.
- **Managed Tool Output Files** use globally unique names in one shared flat directory. Their absolute paths are readable and searchable by ordinary tools; other absolute paths remain outside Location-scoped filesystem authority.
- Provider-executed tool results remain provider-native transcript facts outside generic Tool Registry bounding. Their context control requires provider-aware pruning or compaction because some providers require exact structured round-trip payloads.
## Client contract architecture
Semantic values that mean the same thing internally and publicly live in the lightweight Schema leaf. Core consumes Schema for domain behavior; Protocol composes Schema values into paths, payloads, envelopes, errors, cursors, and streams; Server imports both, hosts Protocol's exact groups, and owns protocol/domain adaptation. The root Promise client remains zero-Effect, `/effect` depends on Effect plus Schema and Protocol, and `@opencode-ai/sdk-next` composes the scoped in-process host above Client, Core, and Server.
Shared public records are plain objects declared with `Schema.Struct`. A same-name inferred interface gives object records readable TypeScript signatures without constructors, prototypes, or nominal identity; unions retain explicit type aliases.
Before stabilizing the client API:
- Keep additional public schemas in Schema and additional network groups in Protocol; neither package may transitively load databases, Drizzle, Session execution, providers, watchers, native modules, or WASM.
- Keep concrete Location middleware keys in Server while Protocol owns their placement. Client projections may supply transport-only keys, but must prove generated equivalence with Server's concrete API.
- Project the existing list response envelope to the stable client **Page** shape and enforce separate initial-query and cursor-continuation inputs without changing the hosted V2 wire contract.
- Settle the stable consumer namespace (`session` versus the current beta `sessions`) and use an explicit codegen annotation if the consumer name should differ from the server group identifier.
- Preserve V2 route paths, operation IDs, codecs, errors, middleware behavior, and OpenAPI output while making this change.
- Preserve browser-safe `@opencode-ai/client` and `@opencode-ai/client/effect` bundles through import-boundary tests.
- Define embedded-host placement before supporting multiple hosts over one database. Hosts that share durable Session storage must also share process-local Session execution coordination, or each host must receive isolated storage explicitly.
- Keep an embedded request scope alive until any streamed response body finishes. The initial non-streaming Session surface does not exercise this lifetime boundary; Session and instance event streams must do so before joining the embedded client.
## Example dialogue
> **Dev:** "The date changed while the session was active. Should the **Mid-Conversation System Message** say what the old date was?"
> **Domain expert:** "No. Emit the newly effective date so the agent can act on the current **System Context**."
## Flagged ambiguities
- Legacy `experimental.chat.system.transform` can mutate the assembled baseline system prompt arbitrarily, but V2 plugins do not yet expose an equivalent hook. Decide separately whether to port it, replace dynamic uses with plugin-defined **Context Sources**, or narrow its semantics.
+1 -1
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@@ -125,4 +125,4 @@ OpenCode 内置两种 Agent,可用 `Tab` 键快速切换:
---
**加入我们的社区** [飞书](https://applink.feishu.cn/client/chat/chatter/add_by_link?link_token=52ao9352-5623-4fa0-b7dd-3407c392c1af&qr_code=true) | [X.com](https://x.com/opencode)
**加入我们的社区** [飞书](https://applink.feishu.cn/client/chat/chatter/add_by_link?link_token=738j8655-cd59-4633-a30a-1124e0096789&qr_code=true) | [X.com](https://x.com/opencode)
+1 -1
View File
@@ -125,4 +125,4 @@ OpenCode 內建了兩種 Agent,您可以使用 `Tab` 鍵快速切換。
---
**加入我們的社群** [飞书](https://applink.feishu.cn/client/chat/chatter/add_by_link?link_token=52ao9352-5623-4fa0-b7dd-3407c392c1af&qr_code=true) | [X.com](https://x.com/opencode)
**加入我們的社群** [飞书](https://applink.feishu.cn/client/chat/chatter/add_by_link?link_token=738j8655-cd59-4633-a30a-1124e0096789&qr_code=true) | [X.com](https://x.com/opencode)
+288 -2431
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@@ -14,11 +14,8 @@
},
"devDependencies": {
"@actions/artifact": "5.0.1",
"@ast-grep/cli": "0.44.0",
"@tsconfig/bun": "catalog:",
"@types/mime-types": "3.0.1",
"@types/react": "19.2.17",
"@types/react-dom": "19.2.3",
"@typescript/native-preview": "catalog:",
"glob": "13.0.5",
"husky": "9.1.7",
@@ -30,32 +27,10 @@
"turbo": "2.10.2",
},
},
"packages/ai": {
"name": "@opencode-ai/ai",
"version": "1.17.20",
"dependencies": {
"@opencode-ai/schema": "workspace:*",
"@smithy/eventstream-codec": "4.2.14",
"@smithy/util-utf8": "4.2.2",
"aws4fetch": "1.0.20",
"effect": "catalog:",
"google-auth-library": "10.5.0",
},
"devDependencies": {
"@clack/prompts": "1.0.0-alpha.1",
"@effect/platform-node": "catalog:",
"@opencode-ai/http-recorder": "workspace:*",
"@tsconfig/bun": "catalog:",
"@types/bun": "catalog:",
"@typescript/native-preview": "catalog:",
"typescript": "catalog:",
},
},
"packages/app": {
"name": "@opencode-ai/app",
"version": "1.18.3",
"version": "1.17.13",
"dependencies": {
"@corvu/drawer": "catalog:",
"@dnd-kit/abstract": "0.5.0",
"@dnd-kit/dom": "0.5.0",
"@dnd-kit/helpers": "0.5.0",
@@ -97,7 +72,6 @@
"shiki": "catalog:",
"solid-js": "catalog:",
"solid-list": "catalog:",
"solid-presence": "0.2.0",
"tailwindcss": "catalog:",
},
"devDependencies": {
@@ -119,69 +93,47 @@
},
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@@ -189,7 +141,7 @@
},
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@@ -203,7 +155,7 @@
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@@ -239,7 +191,7 @@
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@@ -266,7 +218,7 @@
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@@ -288,7 +240,7 @@
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@@ -312,7 +264,7 @@
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@@ -332,7 +284,7 @@
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@@ -340,7 +292,7 @@
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@@ -349,27 +301,25 @@
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@@ -386,7 +336,7 @@
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@@ -397,7 +347,6 @@
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@@ -429,7 +378,7 @@
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@@ -481,15 +430,9 @@
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@@ -503,7 +446,7 @@
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@@ -515,7 +458,7 @@
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@@ -547,7 +490,7 @@
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@@ -563,12 +506,12 @@
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@@ -577,12 +520,11 @@
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@@ -593,9 +535,28 @@
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@@ -606,7 +567,7 @@
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@@ -615,13 +576,13 @@
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@@ -632,10 +593,8 @@
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@@ -670,7 +629,7 @@
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@@ -728,14 +687,10 @@
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@@ -743,16 +698,15 @@
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@@ -762,7 +716,6 @@
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@@ -771,12 +724,10 @@
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@@ -784,7 +735,6 @@
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@@ -802,14 +752,10 @@
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@@ -817,7 +763,7 @@
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@@ -832,12 +778,10 @@
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@@ -849,7 +793,7 @@
},
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@@ -891,30 +835,9 @@
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@@ -927,10 +850,9 @@
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@@ -961,7 +883,7 @@
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@@ -980,7 +902,7 @@
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@@ -1021,30 +943,24 @@
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@@ -1054,7 +970,7 @@
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@@ -1105,7 +1021,7 @@
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@@ -1137,34 +1053,6 @@
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@@ -1176,17 +1064,18 @@
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-685
View File
@@ -1,685 +0,0 @@
# Service Lifecycle: Election, Restart, and Reconnect
Status: in progress
Incident: [#36688](https://github.com/anomalyco/opencode/issues/36688)
## Summary
The managed V2 service keeps its current update policy: the background updater
may install a new package, but only a freshly launched TUI activates that update
after finding an older running service. Existing TUIs never replace a service;
they only reconnect.
The restart path changes in three places:
1. A process-held OS lock, not the HTTP port or registration file, elects
exactly one server owner for its lifetime.
2. The elected process binds and registers a minimal lifecycle surface before
it initializes the application, so clients can distinguish a slow winner
from an absent server.
3. TUIs rediscover and reconnect indefinitely. Transport loss is never a
terminal error by itself.
Several clients may spawn small contenders during a restart. This is safe and
intentional: one contender acquires the lock and initializes, while every loser
exits before expensive server boot. The design does not require clients to
agree on a single initiator.
This proposal does not introduce a supervisor process, warm candidate server,
protocol negotiation, idle background restart, or general execution-recovery
framework.
## Architecture at a Glance
```text
╭───────────────────╮
│ CLI ServiceConfig │
╰─────────┬─────────╯
╭──────────────────────╮
│ CLI ServerConnection │
╰───────────┬──────────╯
╭──────────────────╰───────────────────╮
▼ ▼
╭──────────────────────────╮ ╭─────────────────────────╮
│ Client Service lifecycle │ │ CLI runPromiseWith seam │
╰─────────────┬────────────╯ ╰─────────────┬───────────╯
╰─────╮ │
▼ ▼
╭────────────────────────────╮ ╭─────────────╮
│ Background service process │ │ TUI / Solid │
╰──────────────┬─────────────╯ ╰──────┬──────╯
│ │
╰────────────◀────────────────────╯
╭───────────────────────╮
│ Server HTTP transport │
╰───────────┬───────────╯
╭──────────────────╮
│ Core application │
╰──────────────────╯
```
| Owner | Responsibility |
| ------------------------------------------------ | --------------------------------------------------------------------------------------------------- |
| `packages/client/src/effect/service.ts` | Effect-native discovery, start, and stop lifecycle operations |
| `packages/cli/src/services/service-config.ts` | CLI registration path, installed version, and daemon command |
| `packages/cli/src/services/server-connection.ts` | Resolve an endpoint and, only for the shared service, grouped reconnect and restart Effects |
| `packages/cli/src/server-process.ts` | Daemon election, registration, and server process boot |
| `packages/server/src/process.ts` | HTTP lifecycle shell and application transport |
| `packages/core` | Application behavior behind the transport |
| CLI default handler | Convert lifecycle Effects with the outer `FileSystem` context and pass grouped Promise capabilities |
| `packages/tui` Solid client context | Own event-stream reconnect, endpoint replacement, status, and user-triggered restart UI |
## Implementation Status
| Area | State |
| ------------------------- | --------------------------------------------------------------------- |
| Lifetime ownership | Implemented on this branch with a scoped OS lock |
| Contender behavior | Implemented; losers exit before the server module is imported |
| Registration repair | Implemented; the owner reasserts deleted or corrupt discovery |
| Channel isolation | Implemented with no-clobber migration for legacy preview discovery |
| Client startup waiting | Implemented; slow winners are not killed and waiting is indefinite |
| Lifecycle shell | Implemented; the owner binds and registers before application boot |
| Failed-state latching | Implemented; deterministic boot failure stays bound and actionable |
| Recovery diagnostics | Implemented; the TUI shows status instead of transport internals |
| Cross-platform validation | macOS runtime verified; Linux and Windows run in the unit-test matrix |
## Context
The V2 CLI runs a shared managed service that owns Sessions, location graphs,
plugins, permissions, and tool execution. The service updater can replace the
installed package while the current process continues running the old image.
A later TUI launch then detects the version mismatch and replaces the service.
Incident #36688 showed four failures in that replacement path:
- Multiple TUIs spawned heavyweight server contenders.
- A winner remained unobservable while it cold-booted, so another wave treated
it as absent and displaced it.
- A fresh TUI exhausted its reconnect budget and crashed with an unhandled
transport defect.
- A losing contender remained alive and consumed about 1 GB of RSS.
The `origin/v2` baseline serializes service startup with `EffectFlock`. A
contender acquires a three-second heartbeat lease, checks whether another
service became discoverable, and only the winner crosses the application-boot
boundary. This already prevents simultaneous heavy boots and makes startup
losers exit.
The lease is released immediately after registration, however, so it is not
lifetime ownership. Registration then reverts to last-writer-wins authority: a
deleted or corrupt registration can admit a second boot, a displaced server
terminates itself through its 10-second registration self-check, and a stalled
lease holder can be displaced after the three-second service staleness timeout.
`Flock` and `EffectFlock` live in `packages/core/src/util` and are also used for
config writes, MCP auth, npm installs, and repository caching. Despite the
name, the primitive is an atomic-mkdir lease with heartbeat and staleness
takeover, not an OS-held lock. It remains appropriate for bounded critical
sections, including today's startup fence, but is not lifetime service
ownership.
The current implementation also mixes three different concepts:
- **Ownership:** which process is allowed to be the managed server.
- **Discovery:** where clients can reach that process.
- **Lifecycle:** whether that process is starting, ready, stopping, or failed.
This design gives each concept one authority.
```definitions
[
{
"term": "Owner",
"definition": "The one process holding the process-held OS service lock."
},
{
"term": "Contender",
"definition": "A small serve process attempting to acquire the service lock. It must not initialize the application before winning."
},
{
"term": "Registration",
"definition": "An atomic discovery record containing the elected owner's identity and endpoint. Registration never grants ownership."
},
{
"term": "Lifecycle shell",
"definition": "The minimal HTTP surface bound by the elected process before application initialization. It serves health and retryable startup responses."
},
{
"term": "Application",
"definition": "The full server routes and global or location-scoped modules used for normal OpenCode work."
}
]
```
## Goals
- At most one process initializes and serves the managed application.
- Losing contenders exit before database, route, plugin, MCP, or location boot.
- A slow winner becomes observable before expensive initialization.
- Existing and freshly launched TUIs survive retryable service unavailability.
- Reconnect follows service state instead of displaying retry counts or raw
transport failures.
- Version-mismatch replacement remains triggered by a fresh TUI launch.
- A stale or malformed registration cannot create a second owner.
- An unresponsive owner is never killed automatically by an arbitrary TUI.
- Every spawned contender has a bounded path to ownership or exit.
## Non-goals
- Restarting automatically when a background update finds an idle window.
- Running old and candidate application servers concurrently.
- Adding a permanent steward, proxy, or supervisor process.
- Zero-downtime worker handoff or automatic rollback.
- Application protocol negotiation or automatic TUI self-restart.
- General hard-crash recovery for active Sessions.
- Defining recovery semantics for provider attempts, tools, shells, sub-agents,
permissions, questions, or background jobs.
- Automatically killing a frozen owner.
- Bounding concurrent location cold boots after clients reconnect.
- Multi-machine or clustered service placement.
## Invariants
1. **The service lock is ownership.** Exactly one process may hold the OS lock
for one installation channel and service profile.
2. **Ownership precedes boot.** A contender performs no expensive application
initialization before it acquires the lock.
3. **Ownership lasts for the process lifetime.** The owner holds an open lock
handle until the managed server exits. The OS releases it on process death
without a cleanup callback.
4. **The port is transport, not election.** The owner may select a dynamic port
after acquiring the lock.
5. **Registration is discovery, not election.** Deleting, corrupting, or
replacing registration does not invalidate a live owner's lock.
6. **Only a fresh launch enforces package version.** Existing TUIs reconnect to
the current owner without initiating version replacement.
7. **Transport loss is retryable.** It never terminates a TUI without a separate
diagnosed, non-retryable cause.
8. **Clients do not kill an unresponsive owner automatically.** Destructive
recovery requires the explicit `service restart` command.
9. **Lifecycle does not promise execution semantics.** Graceful replacement
invokes Session suspension and resumption hooks, but tool-level continuity
belongs to a separate design.
## System Model
```text
╭───────────────────────╮ ╭──────────────────────────────╮
│ Fresh or existing TUI │ │ Process-held OS service lock │
╰───────────┬───────────╯ ╰───────────────┬──────────────╯
╰─────┬ normal requests observe ───────────────────────╮ │
│ discover │ ├──╯ authorizes one owner
▼ │ ▼
╭───────────────────╮ │ ╭─────────────────╮
│ Registration file │ │ │ Lifecycle shell │
╰───────────────────╯ │ ╰────────┬────────╯
│ │
├────────────────────────╯
╭──────────────────────╮
│ OpenCode application │
╰──────────────────────╯
```
The lifecycle shell and application run in the same process. The distinction is
initialization order and responsibility, not process topology.
## Service Status
The server reports one small status value:
```typescript
type ServiceStatus =
| {
type: "starting"
}
| {
type: "ready"
}
| {
type: "stopping"
targetVersion?: string
}
| {
type: "failed"
message: string
action: string
}
```
The client adds only the discovery states needed by callers:
```typescript
type Status = { type: "missing" } | { type: "unreachable" } | { type: "unresponsive" } | ServiceStatus
```
The health response retains the existing fields for old clients and adds the
status discriminant:
```typescript
type ServiceHealth = {
healthy: true
version: string
pid: number
instanceID: string
status: ServiceStatus
}
```
`healthy: true` means the registered lifecycle shell is responding and its
identity matches registration. New clients use `status.type === "ready"` as
the application-readiness signal.
During `starting` or `stopping`, application requests are not held in memory.
They receive an immediate retryable response:
```http
HTTP/1.1 503 Service Unavailable
Retry-After: 1
Content-Type: application/json
```
`stopping` uses `service_stopping`. A failed application boot uses
`service_failed` and includes a safe diagnostic message.
A failed owner remains bound and keeps holding the service lock. Exiting on
failure would let every waiting client's `ensureRunning` loop elect a new
contender that repeats the same heavy failing boot, so staying bound turns a
deterministic boot failure into one observable `failed` state instead of a
client-driven respawn loop. Recovery still works: a fresh launch observes the
failed instance through the stop path, and explicit `service restart` replaces
it.
## Registration Contract
Registration contains only discovery identity:
```typescript
type ServiceRegistration = {
schema: 1
instanceID: string
version: string
url: string
pid: number
}
```
Authentication continues to use the existing private service credential
storage. The registration schema does not change that policy.
The owner writes registration only after the lifecycle shell has bound:
1. Bind the lifecycle shell.
2. Write a temporary registration file with mode `0600`.
3. Atomically rename it over the old registration.
4. Serve lifecycle health as `starting`.
On shutdown, the owner removes registration only if the current file still has
its `instanceID`. An old finalizer can never remove a successor's registration.
While running, the owner periodically asserts its registration. Because the
lock guarantees exactly one live owner, any registration that does not name the
owner is stale or corrupt, and the owner rewrites it. A deleted or clobbered
registration therefore heals within one assertion interval instead of leaving
clients waiting on absent discovery. This inverts today's self-check loop,
which terminates the displaced process instead of repairing discovery.
Legacy registration shapes are decoded by a compatibility adapter. The new
domain type does not make fields optional to represent old formats.
## Election
This design promotes today's startup fence into lifetime ownership.
Last-writer-wins registration is replaced by a process-held OS lock that is
acquired before any expensive boot work and held for the entire service
lifetime.
A heartbeat-and-staleness lease, including the existing `Flock` utility, is not
sufficient for service ownership: the service configures a three-second stale
timeout, after which its lock can be broken and recreated. An event-loop stall,
a suspended machine, or a debugger pause can therefore make a live owner appear
stale and allow a contender to displace it. Service ownership requires a
process-held OS lock: `flock` on Unix and an exclusively bound named pipe on
Windows. It cannot be broken because a heartbeat exceeded a timeout. Process
death releases the lock through the OS.
Neither Bun nor Node exposes `flock` directly, the existing `Flock` utility is
an mkdir-plus-heartbeat lease rather than an OS-held lock, and the common
lockfile packages are staleness-based leases as well. The platform layer uses
`bun:ffi` to call `flock` on POSIX and Node's named-pipe server support on
Windows, where Bun FFI is not available on every shipped architecture. It lives
alongside the existing utility in `packages/core/src/util`. This primitive is
the foundation of the design, so the delivery sequence spikes it first.
```text
Contender Lock Lifecycle Application
│ │ │ │
├─ try acquire ───▶ │ │
│ │ │ │
╭─ alt: lock held ────────────────────────────────────────────────╮
│ │ │ │ │ │
│ ◀─ busy ──────────┤ │ │ │
│ │ │ │ │ │
│ ├─────────╮ │ │ │ │
│ │ exit │ │ │ │ │
│ ◀─────────╯ │ │ │ │
│ │ │ │ │ │
├─ else: lock acquired ───────────────────────────────────────────┤
│ │ │ │ │ │
│ ◀─ owner ─────────┤ │ │ │
│ │ │ │ │ │
│ ├─ bind, register, starting ────────▶ │ │
│ │ │ │ │ │
│ ├─ initialize ──────────────────────────────────────────────▶ │
│ │ │ │ │ │
│╭─ alt: boot succeeds ──────────────────────────────────────────╮│
││ │ │ │ │ ││
││ │ │ ◀─ ready ───────────────┤ ││
││ │ │ │ │ ││
│├─ else: boot fails ────────────────────────────────────────────┤│
││ │ │ │ │ ││
││ │ │ ◀─ failed, stay bound ──┤ ││
││ │ │ │ │ ││
│╰───────────────────────────────────────────────────────────────╯│
│ │ │ │ │ │
╰─────────────────────────────────────────────────────────────────╯
│ │ │ │
```
Lock acquisition by a contender is nonblocking or tightly bounded. A loser
must exit before constructing application routes or importing startup-heavy
modules.
Several clients may spawn contenders concurrently. The design guarantees one
heavy winner, not one process spawn. If the winner crashes during startup, the
OS releases the lock and a later client retry starts another election.
The lock is scoped by installation channel and service profile. Local, preview,
and stable installations cannot displace one another.
## Update Activation
Background update behavior remains unchanged:
1. The running service checks for an update.
2. The updater installs the package in the background.
3. The running process continues using its existing process image.
4. No idle check or automatic restart occurs.
A fresh TUI launch activates the installed update:
1. Read registration and authenticate the responding service.
2. If its package version matches the fresh client, attach normally.
3. If the version differs, request graceful stop of that exact registered
instance using the existing authenticated stop path.
4. Re-check instance identity before every signal or escalation in that path.
5. Wait for the old process to exit and release the service lock.
6. Call `ensureRunning` until a compatible service becomes ready.
Concurrent fresh launchers may all observe the same old instance. Stopping that
exact instance must be idempotent. Once registration names a different instance,
a stale launcher stops signaling and returns to discovery.
No durable restart-transition record is introduced. The initiating fresh TUI
already knows the source and target versions and can display its update
preflight. Existing TUIs may display `Updating...` if they observed `stopping`;
otherwise `Waiting for background service...` is the honest fallback.
## Fresh Launch Versus Reconnect
Fresh launch and reconnect deliberately have different version policies:
```typescript
type ManagedConnection =
| {
type: "launch"
requiredVersion: string
}
| {
type: "reconnect"
}
```
- `launch` requires the installed package version and may activate replacement.
- `reconnect` accepts the current owner and never activates replacement.
This preserves today's permissive reconnect behavior. Explicit application
protocol negotiation and automatic TUI re-exec remain follow-ups.
## Client Reconnect
Fresh and existing TUIs use the same status loop after startup:
1. Read registration on every attempt. Do not retry a stale URL indefinitely.
2. If registration is absent, call `ensureRunning` and continue waiting.
3. If registration is unreachable, call `ensureRunning`. A live owner prevents
contenders from acquiring the lock; a dead owner does not.
4. If status is `starting` or `stopping`, wait.
5. If status is `failed`, show its actionable message.
6. If status is `ready`, rebuild HTTP and event-stream clients for the new
endpoint and perform authoritative state reconciliation.
Retry cadence is internal policy. Retry counts are telemetry, not user-facing
state. The TUI waits until the service is ready or the user exits.
Transport failures are handled at the TUI run boundary. A raw client transport
error or Effect defect must not escape to the terminal. Hard exit is reserved
for diagnosed causes such as invalid local configuration, failed authentication,
or a foreign process occupying an explicitly configured port.
The UI derives text from status:
| Status | User-facing state |
| ------------------------ | ----------------------------------- |
| No registration | `Starting background service...` |
| Registration unreachable | `Waiting for background service...` |
| `starting` | `Starting OpenCode vX...` |
| `stopping` | `Updating to vX...` |
| `failed` | Actionable failure message |
| `ready` | Normal TUI |
## Graceful Session Continuity
Version-mismatch replacement uses the existing graceful Session suspension and
resumption hooks:
1. The old server snapshots active Session IDs during graceful teardown.
2. The successor schedules those Sessions for continuation.
3. The runner reloads durable Session history before continuing.
This lifecycle design does not define what an interrupted physical provider
attempt or tool invocation means. It does not promise that external side effects
did not occur, replay the exact interrupted tool, preserve an in-memory form, or
recover process-local background work.
Those concerns require a separate execution-continuity design covering tools,
shells, sub-agents, permissions, questions, provider attempts, and hard-crash
recovery.
## Unresponsive Owner
An unreachable registration does not prove that the owner is dead. A contender
attempts the service lock:
- If the lock is free, the contender starts a replacement.
- If the lock is held, the contender exits and the client keeps waiting.
After a bounded diagnostic threshold, the client may show:
```text
The background service owns the service lock but is not responding.
Run `opencode service restart` to recover it.
```
Only explicit `service restart` may perform destructive recovery. It verifies
the complete registration and process instance before signaling, waits for
graceful exit, re-checks identity before escalation, and refuses to kill a
process it cannot positively identify.
Automatic frozen-owner recovery is deferred.
## Failure Walkthroughs
### Update with open TUIs
1. The old service installs vNext but keeps running.
2. A fresh vNext TUI finds the healthy vOld service and requests graceful stop.
3. The old service reports `stopping`, suspends active Sessions, and exits.
4. Open TUIs enter their indefinite status loops.
5. One or more clients spawn contenders.
6. One contender acquires the service lock. Losers exit before heavy boot.
7. The winner binds and registers the lifecycle shell as `starting`.
8. Clients stop spawning and wait on the observable winner.
9. The winner initializes the application and reports `ready`.
10. TUIs rebuild clients, reconcile state, and resume.
### Server crashes while ready
1. The endpoint becomes unreachable and registration may remain stale.
2. Clients call `ensureRunning`.
3. Process death has released the service lock.
4. One contender wins, replaces registration, and starts normally.
5. Detailed active-execution recovery is outside this design.
### Winner crashes during startup
1. Clients observed `starting` and remain alive.
2. Process death releases the service lock.
3. A later reconnect attempt starts another election.
4. One new contender wins; all other contenders exit.
### Registration is deleted while the owner is healthy
1. Clients may call `ensureRunning` because discovery is absent.
2. Every contender fails to acquire the owner's lock and exits.
3. No second application initializes.
4. The owner's next registration assertion republishes discovery.
### Owner is alive but unresponsive
1. Health fails, but the process still holds the service lock.
2. Contenders fail lock acquisition and exit.
3. Clients wait and eventually show explicit recovery guidance.
4. No TUI kills the owner automatically.
## TDD Verification
Implementation should proceed test-first with real subprocesses and real locks.
Mocks cannot establish process death, lock release, loser cleanup, or port
behavior.
### Election tests
| Scenario | Required result |
| ----------------------------------------------------- | ------------------------------------------------------- |
| Ten contenders start simultaneously | Exactly one crosses the application-boot boundary |
| Winner pauses after lock acquisition | No loser initializes or remains alive |
| Winner event loop pauses beyond the old stale timeout | Ownership is not displaced |
| Winner crashes before bind | Lock releases; a later attempt wins |
| Winner crashes after bind but before registration | Lock releases; a later attempt replaces stale discovery |
| Registration is deleted while owner runs | No second owner initializes |
| Registration is malformed | Lock still prevents a second owner |
| Registration names a dead PID | New contender can acquire the released lock |
| Two installation channels start | Each elects an independent owner |
| Explicit configured port is foreign-owned | Fail diagnostically; do not kill the foreign process |
The fixture records a marker immediately before application initialization. The
tests assert that only one process writes that marker and that every loser exits
within a bounded interval. The harness should also assert that a loser's peak
RSS stays an order of magnitude below an application boot, since import weight
was the observed incident cost.
### Lifecycle tests
| Scenario | Required result |
| ----------------------------------------------- | ---------------------------------------------------------------- |
| Winner owns lock but application boot is paused | Health reports `starting` |
| Application request arrives during startup | Immediate retryable `503` |
| Application becomes ready | Status changes once from `starting` to `ready` |
| Graceful replacement begins | Status reports `stopping` before disconnect |
| Application initialization fails | Actionable `failed` status; owner stays bound and holds the lock |
| Registration is deleted while owner runs | Owner republishes it within one assertion interval |
| Owner exits | Registration is removed only if it still names that owner |
### Update tests
| Scenario | Required result |
| -------------------------------------- | -------------------------------------------------------- |
| Background update installs vNext | Running vOld service does not restart |
| Fresh vNext launch finds vOld | Exact old instance stops; vNext eventually becomes ready |
| Two fresh vNext launches race | One heavy successor; both clients attach |
| Existing vOld TUI reconnects to vNext | It never requests replacement |
| Stale launcher observes a new instance | It does not signal the new instance |
### Reconnect tests
| Scenario | Required result |
| --------------------------------------------------- | -------------------------------------------------- |
| Endpoint disappears and changes port | TUI rediscovers and rebuilds clients |
| Service remains unavailable beyond old retry budget | TUI remains alive |
| Event stream reconnects | Client performs authoritative state reconciliation |
| Transport returns an unexpected defect | TUI formats it; no raw stack escapes |
| Owner remains unresponsive | TUI waits and shows explicit restart guidance |
## Delivery Sequence
1. **Spike the lock primitive.** Prove a nonblocking, process-held OS lock
under Bun on macOS, Linux, and Windows (`bun:ffi` to `flock` on POSIX and a
named pipe on Windows), including release on hard kill and behavior across
containers and network filesystems used in CI.
2. **Expand the subprocess test harness.** Begin from the baseline
two-contender test and cover ten contenders, lock release on crash, a paused
winner, deleted or corrupt registration, and bounded loser exit before
changing ownership.
3. **Contain client failure.** Make transport loss nonterminal, rediscover on
every cycle, and format unexpected failures at the TUI boundary.
4. **Promote the startup fence to process-held ownership.** Preserve the
existing pre-boot acquisition seam, replace its lease with the OS lock, hold
it until process exit, and invert the registration self-check from
self-termination to reassertion.
5. **Bind the lifecycle shell first.** Publish registration and `starting`,
return retryable `503` for application requests, then initialize the app.
The health contract change is public API: regenerate clients from
`packages/client` with `bun run generate`.
6. **Codify launch versus reconnect.** Fresh launch enforces installed version;
reconnect never activates replacement.
7. **Integrate graceful replacement.** Preserve current background-install and
fresh-launch activation behavior while invoking Session continuity hooks.
8. **Harden explicit recovery.** Verify exact process identity during explicit
`service restart`; never automatically kill an unresponsive owner.
9. **Run the full multi-process suite.** Include repeated restart cycles and
assert that no contender or child process remains afterward.
## Acceptance Criteria
- Ten concurrent restart observers produce one application initialization.
- No losing contender survives or builds a location graph.
- A 30-second application boot remains continuously observable as `starting`.
- A TUI remains alive through a service outage longer than the previous retry
budget.
- A service endpoint change does not require restarting an existing TUI.
- Background installation alone does not restart the service.
- A fresh mismatched TUI eventually attaches to the installed service version.
- Existing reconnecting TUIs never replace the current owner.
- Registration corruption cannot produce two owners.
- A deleted registration heals without restarting the owner or any client.
- An unresponsive owner is not killed without an explicit recovery command.
- Raw transport defects never escape to the terminal.
## Follow-ups
- Idle background update activation with an admission fence.
- Application protocol compatibility and automatic local TUI re-exec.
- Durable execution recovery for provider attempts and tools.
- Shell, sub-agent, permission, question, and background-job continuity.
- Automatic recovery for a positively identified frozen owner.
- Cold-boot concurrency limits and interaction-prioritized location loading.
- A steward or socket-handoff architecture if zero-downtime replacement becomes
a real requirement.
a real requirement.
+1
View File
@@ -495,6 +495,7 @@ async function subscribeSessionEvents() {
console.log("Subscribing to session events...")
const TOOL: Record<string, [string, string]> = {
todowrite: ["Todo", "\x1b[33m\x1b[1m"],
bash: ["Bash", "\x1b[31m\x1b[1m"],
edit: ["Edit", "\x1b[32m\x1b[1m"],
glob: ["Glob", "\x1b[34m\x1b[1m"],
-4
View File
@@ -67,10 +67,6 @@ const athenaWorkgroup = new aws.athena.Workgroup("LakeAthenaWorkgroup", {
configuration: {
enforceWorkgroupConfiguration: true,
publishCloudwatchMetricsEnabled: true,
// Athena bills $5/TB scanned; kill any query that would scan more than 2 TB
// so a regression cannot silently burn money. Stats sync full passes scan
// ~250 GB as of 2026-07.
bytesScannedCutoffPerQuery: 2 * 1024 ** 4,
resultConfiguration: {
outputLocation: $interpolate`s3://${athenaResultsBucket.bucket}/`,
},
+1 -3
View File
@@ -185,9 +185,7 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
cluster: lakeCluster,
architecture: "arm64",
cpu: "0.25 vCPU",
// 0.5 GB caused an OOM crash loop: every restart immediately re-ran the 4 Athena
// stats queries (~$5/pass) every ~5 minutes instead of hourly.
memory: "2 GB",
memory: "0.5 GB",
image: {
context: ".",
dockerfile: "packages/stats/server/Dockerfile",
+4 -4
View File
@@ -1,8 +1,8 @@
{
"nodeModules": {
"x86_64-linux": "sha256-F1luclnqCPQk9yxfmeSYGaM/nScf28yBu9K3Fv+Xd24=",
"aarch64-linux": "sha256-XW0XZnsCRkU3MFJH9TjMRYZHffzVy3cQyiNCkec2gl4=",
"aarch64-darwin": "sha256-bf8kvORs3Fs2UYLp3PekF+AJR7NKOcHb+fIQA79RtMk=",
"x86_64-darwin": "sha256-sBdQPkzd7JXNW6Lbi9JHiAsfHwdLwTKWY+uPeXAv2Nw="
"x86_64-linux": "sha256-ovrz0pALxRek5VEqSYkVpzb9YeiiVQWxfAHZQ3kX0/0=",
"aarch64-linux": "sha256-+sqBt11Nl1fDrL1JvFAcN8JMWahspfbBPuMeM7YdagU=",
"aarch64-darwin": "sha256-PsZfcmMpz/Xzudjv4CQZu+wPfnyijrlVYeP2x9tRffk=",
"x86_64-darwin": "sha256-4TpIc3Gh9nDaA5Y1zkCq0KraMdWu+PWtYVY3p7/CsJ0="
}
}
+15 -28
View File
@@ -2,30 +2,23 @@
"$schema": "https://json.schemastore.org/package.json",
"name": "opencode",
"description": "AI-powered development tool",
"version": "0.0.0",
"private": true,
"type": "module",
"packageManager": "bun@1.3.14",
"scripts": {
"dev": "bun run --cwd packages/cli --conditions=browser src/index.ts",
"dev": "bun run --cwd packages/opencode --conditions=browser src/index.ts",
"dev:desktop": "bun --cwd packages/desktop dev",
"dev:web": "bun --cwd packages/app dev",
"dev:console": "ulimit -n 10240 2>/dev/null; bun run --cwd packages/console/app dev",
"dev:stats": "bun sst shell --stage=production -- bun run --cwd packages/stats/app dev",
"dev:www": "bun run --cwd packages/www dev",
"dev:storybook": "bun --cwd packages/storybook storybook",
"lint": "oxlint",
"lint:effect-patterns": "ast-grep scan -c script/ast-grep/sgconfig.yml packages/core/src packages/server/src packages/protocol/src packages/cli/src",
"test:lint-rules": "ast-grep test -c script/ast-grep/sgconfig.yml",
"typecheck": "bun turbo typecheck --concurrency=3",
"typecheck:profile": "bun script/profile-typecheck.ts",
"typecheck:profile:packages": "bun script/profile-typecheck-packages.ts",
"typecheck": "bun turbo typecheck",
"upgrade-opentui": "bun run script/upgrade-opentui.ts",
"postinstall": "bun run --cwd packages/core fix-node-pty",
"prepare": "husky",
"random": "echo 'Random script'",
"sso": "aws sso login --sso-session=opencode --no-browser",
"translate:app": "bun run script/translate-app.ts",
"test": "echo 'do not run tests from root' && exit 1"
},
"workspaces": {
@@ -37,23 +30,22 @@
"packages/slack"
],
"catalog": {
"@effect/opentelemetry": "4.0.0-beta.98",
"@effect/platform-node": "4.0.0-beta.98",
"@effect/sql-sqlite-bun": "4.0.0-beta.98",
"@effect/opentelemetry": "4.0.0-beta.83",
"@effect/platform-node": "4.0.0-beta.83",
"@effect/sql-sqlite-bun": "4.0.0-beta.83",
"@npmcli/arborist": "9.4.0",
"@types/bun": "1.3.13",
"@types/cross-spawn": "6.0.6",
"@octokit/rest": "22.0.0",
"@hono/standard-validator": "0.2.0",
"@hono/zod-validator": "0.4.2",
"@opentui/core": "0.4.5",
"@opentui/keymap": "0.4.5",
"@opentui/solid": "0.4.5",
"@tanstack/solid-virtual": "3.13.32",
"@opentui/core": "0.3.4",
"@opentui/keymap": "0.3.4",
"@opentui/solid": "0.3.4",
"@tanstack/solid-virtual": "3.13.28",
"@shikijs/stream": "4.2.0",
"ulid": "3.0.1",
"@kobalte/core": "0.13.11",
"@corvu/drawer": "0.2.4",
"@types/luxon": "3.7.1",
"@types/node": "24.12.2",
"@types/semver": "7.7.1",
@@ -69,15 +61,14 @@
"dompurify": "3.3.1",
"drizzle-kit": "1.0.0-rc.2",
"drizzle-orm": "1.0.0-rc.2",
"effect": "4.0.0-beta.98",
"effect": "4.0.0-beta.83",
"ai": "6.0.168",
"cross-spawn": "7.0.6",
"hono": "4.10.7",
"hono-openapi": "1.1.2",
"fuzzysort": "3.1.0",
"get-east-asian-width": "1.6.0",
"luxon": "3.6.1",
"marked": "17.0.6",
"marked": "17.0.1",
"marked-shiki": "1.2.1",
"remend": "1.3.0",
"@playwright/test": "1.59.1",
@@ -86,11 +77,9 @@
"@typescript/native-preview": "7.0.0-dev.20251207.1",
"zod": "4.1.8",
"remeda": "2.26.0",
"resolve.exports": "2.0.3",
"sst": "4.13.1",
"shiki": "4.2.0",
"solid-list": "0.3.0",
"string-width": "7.2.0",
"tailwindcss": "4.1.11",
"vite": "7.1.4",
"@solidjs/meta": "0.29.4",
@@ -105,9 +94,6 @@
},
"devDependencies": {
"@actions/artifact": "5.0.1",
"@ast-grep/cli": "0.44.0",
"@types/react": "19.2.17",
"@types/react-dom": "19.2.3",
"@tsconfig/bun": "catalog:",
"@types/mime-types": "3.0.1",
"@typescript/native-preview": "catalog:",
@@ -160,13 +146,14 @@
"@silvia-odwyer/photon-node@0.3.4": "patches/@silvia-odwyer%2Fphoton-node@0.3.4.patch",
"@standard-community/standard-openapi@0.2.9": "patches/@standard-community%2Fstandard-openapi@0.2.9.patch",
"solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
"@ai-sdk/xai@3.0.102": "patches/@ai-sdk%2Fxai@3.0.102.patch",
"@ai-sdk/xai@3.0.82": "patches/@ai-sdk%2Fxai@3.0.82.patch",
"gcp-metadata@8.1.2": "patches/gcp-metadata@8.1.2.patch",
"pacote@21.5.0": "patches/pacote@21.5.0.patch",
"@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
"@tanstack/solid-virtual@3.13.28": "patches/@tanstack%2Fsolid-virtual@3.13.28.patch",
"@pierre/trees@1.0.0-beta.4": "patches/@pierre%2Ftrees@1.0.0-beta.4.patch",
"@modelcontextprotocol/sdk@1.29.0": "patches/@modelcontextprotocol%2Fsdk@1.29.0.patch",
"effect@4.0.0-beta.98": "patches/effect@4.0.0-beta.98.patch",
"@tanstack/virtual-core@3.17.3": "patches/@tanstack%2Fvirtual-core@3.17.3.patch"
"@tanstack/virtual-core@3.17.0": "patches/@tanstack%2Fvirtual-core@3.17.0.patch",
"effect@4.0.0-beta.83": "patches/effect@4.0.0-beta.83.patch"
}
}
-233
View File
@@ -1,233 +0,0 @@
# @opencode-ai/ai
Schema-first AI primitives for opencode. Provider quirks live in adapters, not in calling code.
```ts
import { Effect } from "effect"
import { LLM, LLMClient } from "@opencode-ai/ai"
import { OpenAI } from "@opencode-ai/ai/providers"
const model = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).responses("gpt-4o-mini")
const request = LLM.request({
model,
system: "You are concise.",
prompt: "Say hello in one short sentence.",
generation: { maxTokens: 40 },
})
const program = Effect.gen(function* () {
const response = yield* LLMClient.generate(request)
console.log(response.text)
})
```
Run `LLMClient.stream(request)` instead of `generate` when you want incremental `LLMEvent`s. The event stream is provider-neutral — same shape across OpenAI Chat, OpenAI Responses, Anthropic Messages, Gemini, Bedrock Converse, and any OpenAI-compatible deployment.
## Image generation
Use `Image.generate` with an image model for direct asset generation:
```ts
import { Image } from "@opencode-ai/ai"
import { OpenAI } from "@opencode-ai/ai/providers"
const program = Effect.gen(function* () {
const response = yield* Image.generate({
model: OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).image("gpt-image-2"),
prompt: "A robot tending a rooftop garden",
count: 2,
size: { width: 1024, height: 1024 },
providerOptions: { openai: { quality: "high", outputFormat: "webp" } },
})
return response.images // GeneratedImage[] with owned bytes or a provider URL
})
```
Conversational image generation remains part of the LLM interaction. OpenAI Responses exposes it through its hosted image tool:
```ts
const program = Effect.gen(function* () {
const response = yield* LLM.generate(
LLM.request({
model: OpenAI.configure({ apiKey }).responses("gpt-5"),
prompt: "Design a solarpunk rooftop garden, then show me.",
tools: [OpenAI.imageGeneration({ quality: "high" })],
}),
)
return response.message
})
```
The hosted result is represented as a provider-executed tool call and tool result. Its image is a `file` content item with a data URI, so retaining `response.message` preserves the generated image for continuation.
## Public API
- **`LLM.request({...})`** — build a provider-neutral `LLMRequest`. Accepts ergonomic inputs (`system: string`, `prompt: string`) that normalize into the canonical Schema classes.
- **`LLM.generate` / `LLM.stream`** — re-exported from `LLMClient` for one-import use.
- **`Message.user(...)` / `Message.assistant(...)` / `Message.tool(...)`** — message constructors from the canonical schema model.
- **`Model.make(...)` / `ToolCallPart.make(...)` / `ToolResultPart.make(...)` / `ToolDefinition.make(...)`** — model and tool-related constructors from the canonical schema model.
- **`LLMClient.prepare(request)`** — compile a request through protocol body construction, validation, and HTTP preparation without sending. Useful for inspection and testing.
- **`LLMEvent.is.*`** — typed guards (`is.textDelta`, `is.toolCall`, `is.finish`, …) for filtering streams.
- **`Image.generate({...})`** — generate images through a provider-neutral image request and response model.
- **`ImageClient`** — Effect service and layer for image execution, parallel to `LLMClient`.
## Caching
Prompt caching is **on by default**. Every `LLMRequest` resolves to `cache: "auto"` unless the caller opts out with `cache: "none"`. Each protocol translates `CacheHint`s to its wire format (`cache_control` on Anthropic, `cachePoint` on Bedrock; OpenAI and Gemini do implicit caching server-side and don't need inline markers — auto is a no-op there).
### Auto placement
`"auto"` places three breakpoints — last tool definition, last system part, latest user message. The last-user-message boundary is the load-bearing detail: in a tool-use loop, a single user turn expands into many assistant/tool round-trips, all sharing that prefix. Caching at that boundary lets every intra-turn API call hit.
The math justifies the default: Anthropic's 5-minute cache write is 1.25× base, read is 0.1×, so a single reuse within 5 minutes already wins. One-shot completions below the per-model minimum-cacheable-token threshold silently no-op on the wire, so the worst case is harmless.
### Opting out
```ts
LLM.request({
model,
system,
prompt: "one-off question",
cache: "none",
})
```
### Granular policy
```ts
cache: {
tools?: boolean,
system?: boolean,
messages?: "latest-user-message" | "latest-assistant" | { tail: number },
ttlSeconds?: number, // ≥ 3600 → 1h on Anthropic/Bedrock; else 5m
}
```
### Manual hints
Inline `CacheHint` on any text / system / tool / tool-result part overrides automatic placement. The auto policy preserves manual hints; it only fills gaps.
```ts
LLM.request({
model,
system: [
{ type: "text", text: "stable system prompt", cache: { type: "ephemeral" } },
],
...
})
```
### Provider behavior table
| Protocol | `cache: "auto"` |
| ----------------------- | ------------------------------------------------------------------------- |
| Anthropic Messages | emits up to 3 `cache_control` markers (4-breakpoint cap enforced) |
| Bedrock Converse | emits up to 3 `cachePoint` blocks (4-breakpoint cap enforced) |
| OpenAI Chat / Responses | no-op (implicit caching above 1024 tokens) |
| Gemini | no-op (implicit caching on 2.5+; explicit `CachedContent` is out-of-band) |
Normalized cache usage is read back into `response.usage.cacheReadInputTokens` and `cacheWriteInputTokens` across every provider.
## Providers
Provider facades configure endpoint/auth/deployment details first, then expose model selectors that take only a model or deployment id. The selected model carries the executable route value used at runtime.
```ts
import { OpenAI, CloudflareAIGateway } from "@opencode-ai/ai/providers"
const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).responses("gpt-4o-mini")
const gateway = CloudflareAIGateway.configure({
accountId: process.env.CLOUDFLARE_ACCOUNT_ID,
gatewayApiKey: process.env.CLOUDFLARE_API_TOKEN,
}).model("workers-ai/@cf/meta/llama-3.1-8b-instruct")
```
Included providers: OpenAI, Anthropic, Google (Gemini), Google Vertex Gemini and Anthropic, Amazon Bedrock, Azure OpenAI, Cloudflare AI Gateway, Cloudflare Workers AI, GitHub Copilot, OpenRouter, xAI, plus generic OpenAI-compatible Chat and Responses entrypoints and an Anthropic Messages-compatible entrypoint.
### Package-like entrypoints
Native catalog integrations load provider behavior through package-like entrypoints. These are export paths from the same `@opencode-ai/ai` npm package, not independently published packages. Each entrypoint exports the same `model(modelID, settings)` contract, and `settings` contains serializable provider configuration plus common `headers`, `body`, and `limits` overlays.
```ts
import { model } from "@opencode-ai/ai/providers/openai/responses"
const selected = model("gpt-5", {
apiKey: process.env.OPENAI_API_KEY,
transport: "websocket",
headers: { "x-application": "opencode" },
limits: { context: 200_000, output: 64_000 },
})
```
OpenAI Chat and OpenAI Responses are separate semantic entrypoints:
- `@opencode-ai/ai/providers/openai/chat`
- `@opencode-ai/ai/providers/openai/responses`
- `@opencode-ai/ai/providers/openai-compatible/responses`
- `@opencode-ai/ai/providers/anthropic-compatible`
- `@opencode-ai/ai/providers/google-vertex/gemini`
- `@opencode-ai/ai/providers/google-vertex/chat`
- `@opencode-ai/ai/providers/google-vertex/responses`
- `@opencode-ai/ai/providers/google-vertex/messages`
Responses HTTP versus WebSocket is a scoped `transport` setting on the OpenAI Responses entrypoint, not another entrypoint. Azure follows the same Chat/Responses split at `providers/azure/chat` and `providers/azure/responses`. Generic OpenAI-compatible Chat remains at `providers/openai-compatible`; compatible Responses is separate at `providers/openai-compatible/responses`. Generic Anthropic Messages-compatible providers use `providers/anthropic-compatible`, which the named Anthropic provider composes. Google Gemini and Amazon Bedrock expose their single native API through their existing provider paths.
Vertex Gemini, Vertex Chat, Vertex Responses, and Vertex Messages are separate API entrypoints. All accept `project`, `location`, and an optional `accessToken`; when no explicit token or auth override is supplied they lazily use Google Application Default Credentials. Vertex Gemini instead selects express mode when `apiKey` or `GOOGLE_VERTEX_API_KEY` is present. Vertex Chat targets MaaS models through the OpenAI-compatible Chat Completions endpoint, while Vertex Responses targets Grok models and defaults `store` to `false` as required by Vertex. `providers/google-vertex` remains the default alias for `providers/google-vertex/gemini`.
Tuned Vertex Gemini deployments use model ids shaped like `endpoints/1234567890` and require OAuth or ADC; Vertex express-mode API keys support publisher models only.
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/gemini"
model("gemini-3.5-flash", { project: "my-project", location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/chat"
model("deepseek-ai/deepseek-v3.2-maas", { project: "my-project", location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/responses"
model("xai/grok-4.20-reasoning", { project: "my-project", location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/messages"
model("claude-sonnet-4-6", { project: "my-project", location: "global" })
```
Provider facades such as `OpenAI.configure(...).responses(...)` remain the direct application API. Package-like entrypoints are the self-similar loading contract used when a catalog selects behavior by export path.
Other provider exports listed above remain direct facades until they explicitly implement the package-like contract. Exporting a provider facade does not implicitly make it a catalog-loadable provider package.
## Provider options & HTTP overlays
Three escape hatches in order of stability:
1. **`generation`** — portable knobs (`maxTokens`, `temperature`, `topP`, `topK`, penalties, seed, stop).
2. **`providerOptions: { <provider>: {...} }`** — typed-at-the-facade provider-specific knobs (OpenAI `promptCacheKey`, Anthropic `thinking`, Gemini `thinkingConfig`, OpenRouter routing).
3. **`http: { body, headers, query }`** — last-resort serializable overlays merged into the final HTTP request. Reach for this only when a stable typed path doesn't yet exist.
Route/provider defaults are overridden by request-level values for each axis.
## Routes
Adding a new model or deployment is usually 5-15 lines using `Route.make({ protocol, endpoint, auth, framing, ... })`. The route owns endpoint/auth/framing and the protocol owns body construction plus stream parsing. Transports are reusable IO templates that receive route endpoint/auth at compile time. Capability/catalog metadata lives outside this low-level package; unsupported request shapes fail during protocol lowering. See `AGENTS.md` for the architectural detail.
## Effect
This package is built on Effect. Public methods return `Effect` or `Stream`; provide `LLMClient.layer` for LLM dispatch and `ImageClient.layer` for image dispatch, then import the provider/protocol modules for the routes you use. The example at `example/tutorial.ts` is a runnable walkthrough.
## See also
- `AGENTS.md` — architecture, route construction, contributor guide
- `STATUS.md` — native provider parity status and AI SDK migration gaps
- `example/tutorial.ts` — runnable end-to-end walkthrough
- `test/provider/*.test.ts` — fixture-first protocol tests; `*.recorded.test.ts` files cover live cassettes
-108
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@@ -1,108 +0,0 @@
# LLM Provider Parity Status
Last reviewed: 2026-07-17
This file tracks the gap between the native `@opencode-ai/ai` package and the AI SDK provider packages that opencode still depends on for many catalog/runtime paths.
## Existing Status Sources
| File | What it tracks | Limitation |
| ----------------------------------- | ----------------------------------------------------------------------- | ------------------------------------------------------- |
| `packages/ai/DESIGN.md` | Future clean-break API proposal for `@opencode-ai/ai`. | Not a provider parity tracker. |
| `packages/ai/example/call-sites.md` | Route/value/provider-facade migration checklist and call-site sketches. | Architecture migration only; not AI SDK package parity. |
## Current Implementation Snapshot
| Native slice | Source | Current state | Main gaps |
| ---------------------------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| OpenAI Chat | `src/protocols/openai-chat.ts`, `src/providers/openai.ts` | Usable. Streams text, reasoning deltas, tool calls, usage, images, and common generation controls. | No typed structured-output / `response_format` path. Limited typed OpenAI option surface compared with SDK escape hatches. |
| OpenAI Responses HTTP | `src/protocols/openai-responses.ts`, `src/providers/openai.ts` | Usable. Supports hosted-tool event surfacing, reasoning replay metadata, GPT-5 defaults, and cache usage. | No explicit `previous_response_id` path. Typed options cover only a subset of Responses fields. Structured output is still mostly synthetic-tool based. |
| OpenAI Responses WebSocket | `src/protocols/openai-responses.ts`, `src/route/transport/websocket.ts` | Present as `OpenAI.responsesWebSocket(...)`. | Runner/catalog support explicitly must not downgrade WebSocket routes; broader runtime selection is not complete. |
| OpenAI-compatible Chat | `src/protocols/openai-compatible-chat.ts`, `src/providers/openai-compatible.ts` | Usable for generic Chat and several profiles: Baseten, Cerebras, DeepInfra, DeepSeek, Fireworks, Groq, TogetherAI. | Family quirks are mostly endpoint defaults, not full typed behavior. |
| OpenAI-compatible Responses | `src/protocols/openai-compatible-responses.ts`, `src/providers/openai-compatible-responses.ts` | Usable for deployments that implement the OpenAI Responses wire protocol. | No named family profiles or recorded deployment coverage yet. |
| Anthropic-compatible Messages | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic-compatible.ts` | Usable for deployments that implement the Anthropic Messages wire protocol. Named Anthropic composes this base; MiniMax M3 has recorded text and tool-loop coverage. | No named compatible family profiles yet. |
| Anthropic Messages | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic.ts` | Usable. Supports tools, thinking, cache control, images, server-hosted tool events, and usage. | Provider option surface is small. Beta/header handling, metadata, and newer Messages fields need a typed parity pass. |
| Gemini Developer API | `src/protocols/gemini.ts`, `src/providers/google.ts` | Usable for Google API key flow. Supports text, images, tools, thinking signatures, and cache usage. | This is not Vertex. Typed provider options are narrow; many Gemini request fields currently require raw `http.body` overlays. |
| Vertex Gemini | `src/protocols/gemini.ts`, `src/providers/google-vertex.ts` | Usable through API-key express mode, explicit OAuth tokens, or ADC with project/location endpoint derivation, including tuned `endpoints/...` deployments. | Core runner/catalog mapping and recorded provider coverage are missing. |
| Vertex Chat | `src/protocols/openai-chat.ts`, `src/providers/google-vertex-chat.ts` | Usable for MaaS models through OpenAI-compatible Chat Completions with explicit OAuth tokens or ADC and project/location endpoint derivation. | Core runner/catalog mapping and recorded provider coverage are missing; MaaS family-specific request parity needs review. |
| Vertex Responses | `src/protocols/openai-responses.ts`, `src/providers/google-vertex-responses.ts` | Usable for Grok models through OpenAI-compatible Responses with explicit OAuth tokens or ADC, project/location endpoint derivation, and storage disabled by default. | Core runner/catalog mapping and recorded provider coverage are missing; stateful continuation is not supported by Vertex. |
| Vertex Messages | `src/protocols/anthropic-messages.ts`, `src/providers/google-vertex-messages.ts` | Usable through explicit OAuth tokens or ADC, including global, regional, and `eu`/`us` multi-region endpoints. | Core runner/catalog mapping and recorded provider coverage are missing; Vertex-specific hosted-tool parity needs review. |
| Bedrock Converse | `src/protocols/bedrock-converse.ts`, `src/providers/amazon-bedrock.ts` | Partial but real. Supports AWS event-stream framing, SigV4 with supplied credentials, bearer auth, tools, reasoning signatures, media, cache points, and recorded tests. | Native facade does not mirror the AI SDK plugin's default AWS credential chain/profile behavior. Runner/catalog mapping is missing. Guardrails, inference profiles, region-specific model ID fixes, and model-specific request fields need a parity pass. |
| Azure OpenAI | `src/providers/azure.ts` using OpenAI Chat/Responses protocols | Partial. Supports resource/base URL setup, API key auth, API version query, Chat, and Responses selectors. | Core runner does not map `@ai-sdk/azure` to this native facade. AAD/token auth and Azure-specific endpoint variants need review. |
| Cloudflare AI Gateway / Workers AI | `src/providers/cloudflare.ts` | Present via OpenAI-compatible Chat routes. | Useful but not part of the critical AI SDK replacement set yet. Needs per-product recorded coverage before relying on it broadly. |
| OpenRouter | `src/providers/openrouter.ts` | Present with OpenRouter-specific usage/reasoning/prompt-cache options over Chat. | Responses-style OpenRouter support is absent. |
| xAI | `src/providers/xai.ts` | Present with Responses and Chat selectors. | Needs package-parity review against the AI SDK xAI provider. |
| GitHub Copilot | `src/providers/github-copilot.ts` | Present as explicit-base-URL OpenAI Chat/Responses facade. | Runtime/catalog integration remains specialized and should stay separate from public OpenAI-compatible defaults. |
## V2 Runner Status
`packages/core/src/session/runner/model.ts` currently resolves only this native subset from catalog `aisdk` metadata:
| Catalog API | Native route used today |
| --------------------------------------------------- | ---------------------------- |
| `aisdk:@ai-sdk/openai` | `OpenAIResponses.route` |
| `aisdk:@ai-sdk/anthropic` | `AnthropicMessages.route` |
| `aisdk:@ai-sdk/openai-compatible` with explicit URL | `OpenAICompatibleChat.route` |
Other `aisdk:` packages, including Google Vertex, Azure, and Bedrock, currently fall back through the AI SDK loader in the production runner. The dependency-free resolver seam rejects them with `SessionRunnerModel.UnsupportedPackageError`; they are not native route mappings yet.
## AI SDK Package Parity Matrix
| AI SDK package | Intended native target | Status | Biggest gaps |
| --------------------------------- | -------------------------------------------------------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `@ai-sdk/openai` | `OpenAI.chat`, `OpenAI.responses`, `OpenAI.responsesWebSocket` | Partial / usable | Add complete typed option coverage, structured output strategy, explicit Responses continuation support, and runner route selection between Chat/Responses/WebSocket. |
| `@ai-sdk/openai-compatible` | Generic OpenAI-compatible Chat and Responses | Partial / usable | Decide per-family namespace/profile behavior and runner API selection for providers that support Responses versus Chat only. |
| `@ai-sdk/anthropic` | `AnthropicMessages` | Partial / usable | Finish Messages API parity for headers/betas/metadata/newer fields and document hosted-tool continuation expectations. |
| `@ai-sdk/google` | Gemini Developer API | Partial / usable | Add typed options for safety, response schema/modalities, cached content, grounding/search/code execution, and non-text output modes where supported. |
| `@ai-sdk/google-vertex` | Vertex Gemini namespace/facade | Partial / usable | Add runner/catalog mapping, recorded coverage, and broader provider-option parity. |
| `@ai-sdk/google-vertex/anthropic` | Anthropic Messages over Vertex namespace/facade | Partial / usable | Add runner/catalog mapping, recorded coverage, and Vertex-specific hosted-tool parity. |
| `@ai-sdk/google-vertex/maas` | Vertex Chat | Partial / usable | Add runner/catalog mapping, recorded coverage, and MaaS family-specific request parity. |
| `@ai-sdk/google-vertex/xai` | Vertex Chat / Responses | Partial / usable | Decide Chat/Responses selection for catalog models, add runner mapping and recorded coverage, and review xAI-specific request options. |
| `@ai-sdk/azure` | Azure OpenAI Chat/Responses facade | Partial | Map runner/catalog metadata to native Azure, handle resourceName/baseURL/apiVersion variants, add AAD/token auth story, and verify Chat vs Responses deployment selection. |
| `@ai-sdk/amazon-bedrock` | Bedrock Converse | Partial | Add default AWS credential chain/profile support, region/inference-profile model ID handling, provider option parity via `additionalModelRequestFields`, guardrails/performance config, and runner/catalog mapping. |
| `@ai-sdk/amazon-bedrock/mantle` | Bedrock Mantle OpenAI-compatible Chat/Responses namespace | Missing | Decide native Mantle shape, likely separate from Converse because it uses OpenAI-compatible Chat/Responses semantics over Bedrock. Add package mapping and tests. |
## Highest-Risk Gaps
1. Runner support is narrower than the LLM package. The package has native provider facades for Google, Azure, and Bedrock, but the V2 Session runner only maps OpenAI, Anthropic, and explicit OpenAI-compatible Chat from `aisdk` catalog metadata.
2. OpenAI-compatible Responses is available as a separate package entrypoint, but the V2 runner still maps `@ai-sdk/openai-compatible` to Chat only. Catalog selection must become API-aware before Responses deployments can use it.
3. Bedrock native auth is not AI SDK parity. The AI SDK plugin uses the default AWS provider chain, profile, container credentials, and Bedrock bearer token env behavior. Native Bedrock currently expects explicit credentials or bearer auth on the facade.
4. Vertex Gemini, Vertex Chat, Vertex Responses, and Vertex Messages now have native package entrypoints, but the core runner does not map catalog metadata to them yet and recorded provider coverage is still missing.
5. Azure is only a provider facade, not a full runtime replacement. Native Azure exists, but the catalog runner does not select it, and token auth/resource variants need review.
6. Provider option typing is uneven. OpenAI, Anthropic, Gemini, Bedrock, and OpenRouter each expose a small typed subset plus raw HTTP overlays; this is useful but not equivalent to AI SDK provider option coverage.
7. Structured output is not provider-native yet. `LLM.generateObject` still uses a synthetic tool strategy, while the future design expects native structured output where reliable and tool fallback where needed.
8. Package/namespace boundaries for the current native loading set are explicit in docs and exports. Other exported provider facades are not catalog package entrypoints until they implement the contract. Vertex xAI still needs catalog API selection; the missing native boundary is Bedrock Mantle.
9. Recorded coverage is uneven. OpenAI, Anthropic, Gemini, Bedrock Converse, Cloudflare, OpenRouter, and several OpenAI-compatible Chat providers have cassettes. Azure, Vertex, and Mantle need first-class recorded scenarios before switching defaults.
## Native Namespace Shape
These are implementation/API slices, not separate npm packages.
| API slice | Package-like entrypoint | Purpose |
| ----------------------------- | ------------------------------------------------------- | ---------------------------------------------------------------------------- |
| OpenAI Chat | `@opencode-ai/ai/providers/openai/chat` | OpenAI `/chat/completions` semantics. |
| OpenAI Responses | `@opencode-ai/ai/providers/openai/responses` | OpenAI `/responses` semantics with HTTP/WebSocket selected through settings. |
| OpenAI-compatible Chat | `@opencode-ai/ai/providers/openai-compatible` | Generic OpenAI-compatible `/chat/completions`. |
| OpenAI-compatible Responses | `@opencode-ai/ai/providers/openai-compatible/responses` | Generic OpenAI-compatible `/responses`. |
| Anthropic-compatible Messages | `@opencode-ai/ai/providers/anthropic-compatible` | Generic Anthropic-compatible `/messages`. |
| Anthropic Messages | `@opencode-ai/ai/providers/anthropic` | Anthropic Messages API. |
| Gemini Developer API | `@opencode-ai/ai/providers/google` | Google AI Studio Gemini API. |
| Vertex Gemini | `@opencode-ai/ai/providers/google-vertex/gemini` | Vertex Gemini API; `providers/google-vertex` is the default alias. |
| Vertex Chat | `@opencode-ai/ai/providers/google-vertex/chat` | Vertex OpenAI-compatible Chat Completions for MaaS models. |
| Vertex Responses | `@opencode-ai/ai/providers/google-vertex/responses` | Vertex OpenAI-compatible Responses for Grok models. |
| Vertex Messages | `@opencode-ai/ai/providers/google-vertex/messages` | Vertex-hosted Anthropic Messages API. |
| Bedrock Converse | `@opencode-ai/ai/providers/amazon-bedrock` | AWS Bedrock Converse API. |
| Bedrock Mantle | Missing | AWS Bedrock Mantle OpenAI-compatible APIs. |
| Azure OpenAI Chat | `@opencode-ai/ai/providers/azure/chat` | Azure specialization of OpenAI Chat. |
| Azure OpenAI Responses | `@opencode-ai/ai/providers/azure/responses` | Azure specialization of OpenAI Responses. |
## Suggested Next Work Slices
1. Add native runner/catalog mappings for `@ai-sdk/azure`, `@ai-sdk/google`, and `@ai-sdk/amazon-bedrock` where the existing native facades are already close.
2. Add API-aware runner/catalog selection between OpenAI-compatible Chat and Responses.
3. Bring Bedrock native auth/config to AI SDK parity: region, profile, default AWS credential chain, bearer token env, endpoint override, and cross-region inference profile handling.
4. Add runner/catalog mappings and recorded scenarios for the native Vertex Gemini, Chat, Responses, and Messages entrypoints.
5. Decide Chat/Responses selection for `@ai-sdk/google-vertex/xai` catalog models.
6. Add Bedrock Mantle as a separate OpenAI-compatible Bedrock namespace after deciding whether it uses Chat, Responses, or both by model.
7. Expand typed provider options from the existing V1 lowerer knowledge in `packages/core/src/v1/config/provider-options.ts` before adding more raw overlay examples.
8. Add recorded provider tests for Azure, Vertex Gemini, Vertex Chat, Vertex Responses, Vertex Messages, Bedrock credential-chain behavior, and Mantle before making native runtime the default for those packages.
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{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.17.20",
"name": "@opencode-ai/ai",
"type": "module",
"license": "MIT",
"scripts": {
"setup:recording-env": "bun run script/setup-recording-env.ts",
"test": "bun test --timeout 30000 --only-failures",
"typecheck": "tsgo --noEmit",
"build": "tsc -p tsconfig.build.json"
},
"files": [
"dist"
],
"exports": {
".": "./src/index.ts",
"./*": "./src/*.ts"
},
"devDependencies": {
"@clack/prompts": "1.0.0-alpha.1",
"@effect/platform-node": "catalog:",
"@opencode-ai/http-recorder": "workspace:*",
"@tsconfig/bun": "catalog:",
"@types/bun": "catalog:",
"@typescript/native-preview": "catalog:",
"typescript": "catalog:"
},
"dependencies": {
"@smithy/eventstream-codec": "4.2.14",
"@smithy/util-utf8": "4.2.2",
"@opencode-ai/schema": "workspace:*",
"aws4fetch": "1.0.20",
"effect": "catalog:",
"google-auth-library": "10.5.0"
}
}
-38
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@@ -1,38 +0,0 @@
#!/usr/bin/env bun
import { Script } from "@opencode-ai/script"
import { $ } from "bun"
import { fileURLToPath } from "url"
const dir = fileURLToPath(new URL("..", import.meta.url))
process.chdir(dir)
async function published(name: string, version: string) {
return (await $`npm view ${name}@${version} version`.nothrow()).exitCode === 0
}
await $`bun run build`
const originalText = await Bun.file("package.json").text()
const pkg = JSON.parse(originalText) as {
name: string
version: string
exports: Record<string, string>
}
if (await published(pkg.name, pkg.version)) {
console.log(`already published ${pkg.name}@${pkg.version}`)
} else {
for (const [key, value] of Object.entries(pkg.exports)) {
const file = value.replace("./src/", "./dist/").replace(".ts", "")
// @ts-ignore
pkg.exports[key] = {
import: file + ".js",
types: file + ".d.ts",
}
}
await Bun.write("package.json", JSON.stringify(pkg, null, 2))
try {
await $`bun pm pack`
await $`npm publish *.tgz --tag ${Script.channel} --access public`
} finally {
await Bun.write("package.json", originalText)
}
}
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@@ -1,34 +0,0 @@
import { Context, Effect, Layer } from "effect"
import { RequestExecutor } from "./route/executor"
import type { ImageRequest, ImageResponse } from "./image"
import type { LLMError } from "./schema"
export type Execute = RequestExecutor.Interface["execute"]
export interface Interface {
readonly generate: (request: ImageRequest) => Effect.Effect<ImageResponse, LLMError>
}
export class Service extends Context.Service<Service, Interface>()("@opencode/ImageClient") {}
export const generate = (request: ImageRequest): Effect.Effect<ImageResponse, LLMError> =>
Effect.gen(function* () {
const client = yield* Service
return yield* client.generate(request)
}) as Effect.Effect<ImageResponse, LLMError>
export const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer.effect(
Service,
Effect.gen(function* () {
const executor = yield* RequestExecutor.Service
return Service.of({
generate: (request) => request.model.route.generate(request, executor.execute),
})
}),
)
export const ImageClient = {
Service,
layer,
generate,
} as const
-116
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@@ -1,116 +0,0 @@
import { Effect, Schema } from "effect"
import { HttpOptions, InvalidRequestReason, LLMError, ModelID, ProviderID, ProviderMetadata, Usage } from "./schema"
import { ImageClient, type Execute as ImageExecute } from "./image-client"
export interface ImageRoute {
readonly id: string
readonly generate: (request: ImageRequest, execute: ImageExecute) => Effect.Effect<ImageResponse, LLMError>
}
export class ImageModel {
readonly id: ModelID
readonly provider: ProviderID
readonly route: ImageRoute
readonly defaults?: ImageModelDefaults
constructor(input: ImageModel.Input) {
this.id = input.id
this.provider = input.provider
this.route = input.route
this.defaults = input.defaults
}
static make(input: ImageModel.MakeInput) {
return new ImageModel({
id: ModelID.make(input.id),
provider: ProviderID.make(input.provider),
route: input.route,
defaults: input.defaults,
})
}
}
export namespace ImageModel {
export interface Input {
readonly id: ModelID
readonly provider: ProviderID
readonly route: ImageRoute
readonly defaults?: ImageModelDefaults
}
export interface MakeInput extends Omit<Input, "id" | "provider"> {
readonly id: string | ModelID
readonly provider: string | ProviderID
}
}
export interface ImageModelDefaults {
readonly providerOptions?: Record<string, Record<string, unknown>>
readonly http?: HttpOptions
}
export const ImageModelSchema = Schema.declare((value): value is ImageModel => value instanceof ImageModel, {
expected: "Image.Model",
})
export const ImageSize = Schema.Struct({
width: Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)),
height: Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)),
}).annotate({ identifier: "Image.Size" })
export type ImageSize = Schema.Schema.Type<typeof ImageSize>
export class ImageRequest extends Schema.Class<ImageRequest>("Image.Request")({
model: ImageModelSchema,
prompt: Schema.String,
count: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1))),
size: Schema.optional(ImageSize),
aspectRatio: Schema.optional(Schema.String),
seed: Schema.optional(Schema.Number),
providerOptions: Schema.optional(Schema.Record(Schema.String, Schema.Record(Schema.String, Schema.Unknown))),
http: Schema.optional(HttpOptions),
metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
}) {}
export type ImageRequestInput = Omit<ConstructorParameters<typeof ImageRequest>[0], "http"> & {
readonly http?: HttpOptions.Input
}
export class GeneratedImage extends Schema.Class<GeneratedImage>("Image.Generated")({
mediaType: Schema.String,
data: Schema.Union([Schema.String, Schema.Uint8Array]),
providerMetadata: Schema.optional(ProviderMetadata),
}) {}
export class ImageResponse extends Schema.Class<ImageResponse>("Image.Response")({
images: Schema.Array(GeneratedImage),
usage: Schema.optional(Usage),
providerMetadata: Schema.optional(ProviderMetadata),
}) {
get image() {
return this.images[0]
}
}
export const request = (input: ImageRequest | ImageRequestInput) => {
if (input instanceof ImageRequest) return input
return new ImageRequest({
...input,
http: input.http === undefined ? undefined : HttpOptions.make(input.http),
})
}
export const generate = (input: ImageRequest | ImageRequestInput) =>
Effect.try({
try: () => request(input),
catch: (error) =>
new LLMError({
module: "Image",
method: "generate",
reason: new InvalidRequestReason({ message: error instanceof Error ? error.message : String(error) }),
}),
}).pipe(Effect.flatMap(ImageClient.generate))
export const Image = {
request,
generate,
} as const
-1
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@@ -1 +0,0 @@
export * from "./protocols/index"
@@ -1,23 +0,0 @@
import { Route, type RouteRoutedModelInput } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { OpenAIResponses } from "./openai-responses"
const ADAPTER = "openai-compatible-responses"
export type OpenAICompatibleResponsesModelInput = RouteRoutedModelInput
/**
* Route for providers that expose an OpenAI Responses-compatible `/responses`
* endpoint. Provider helpers configure identity, endpoint, and auth before
* model selection while this route reuses the OpenAI Responses protocol.
*/
export const route = Route.make({
id: ADAPTER,
providerMetadataKey: "openai",
protocol: OpenAIResponses.protocol,
endpoint: Endpoint.path(OpenAIResponses.PATH),
transport: OpenAIResponses.httpTransport,
defaults: { providerOptions: { openai: { store: false } } },
})
export * as OpenAICompatibleResponses from "./openai-compatible-responses"
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import { Effect, Encoding, Schema } from "effect"
import { Headers, HttpClientRequest } from "effect/unstable/http"
import {
ImageModel,
GeneratedImage,
ImageResponse,
type ImageRequest,
type ImageModelDefaults,
type ImageRoute,
} from "../image"
import { Auth, type Definition as AuthDefinition } from "../route/auth"
import { InvalidProviderOutputReason, LLMError, Usage, mergeHttpOptions, mergeJsonRecords } from "../schema"
import { ProviderShared } from "./shared"
import { OpenAIImage } from "./utils/openai-image"
const ADAPTER = "openai-images"
export const DEFAULT_BASE_URL = "https://api.openai.com/v1"
export const PATH = "/images/generations"
export interface OpenAIImageOptions {
readonly quality?: "auto" | "low" | "medium" | "high"
readonly background?: "auto" | "opaque" | "transparent"
readonly moderation?: "auto" | "low"
readonly outputFormat?: "png" | "jpeg" | "webp"
readonly outputCompression?: number
}
const OpenAIImageBody = Schema.Struct({
model: Schema.String,
prompt: Schema.String,
n: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1))),
size: Schema.optional(Schema.String),
quality: Schema.optional(Schema.Literals(["auto", "low", "medium", "high"])),
background: Schema.optional(Schema.Literals(["auto", "opaque", "transparent"])),
moderation: Schema.optional(Schema.Literals(["auto", "low"])),
output_format: Schema.optional(Schema.Literals(["png", "jpeg", "webp"])),
output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),
})
export type OpenAIImageBody = Schema.Schema.Type<typeof OpenAIImageBody>
const OpenAIImageResponse = Schema.Struct({
data: Schema.Array(
Schema.Struct({
b64_json: Schema.optional(Schema.String),
url: Schema.optional(Schema.String),
revised_prompt: Schema.optional(Schema.String),
}),
),
output_format: Schema.optional(Schema.String),
usage: Schema.optional(
Schema.Struct({
input_tokens: Schema.optional(Schema.Number),
output_tokens: Schema.optional(Schema.Number),
total_tokens: Schema.optional(Schema.Number),
input_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
output_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
}),
),
})
export interface ModelInput {
readonly id: string
readonly auth: AuthDefinition
readonly baseURL?: string
readonly headers?: Record<string, string>
readonly defaults?: ImageModelDefaults
}
const providerOptions = (request: ImageRequest): OpenAIImageOptions => ({
...request.model.defaults?.providerOptions?.openai,
...request.providerOptions?.openai,
})
const body = (request: ImageRequest): OpenAIImageBody => {
const options = providerOptions(request)
return {
model: request.model.id,
prompt: request.prompt,
n: request.count,
size: request.size === undefined ? undefined : `${request.size.width}x${request.size.height}`,
quality: options.quality,
background: options.background,
moderation: options.moderation,
output_format: options.outputFormat,
output_compression: options.outputCompression,
}
}
const invalidOutput = (message: string) =>
new LLMError({
module: ADAPTER,
method: "generate",
reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),
})
const applyQuery = (url: string, query: Record<string, string> | undefined) => {
if (!query) return url
const next = new URL(url)
Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))
return next.toString()
}
const PROTOCOL_BODY_FIELDS = new Set([
"model",
"prompt",
"n",
"size",
"quality",
"background",
"moderation",
"output_format",
"output_compression",
])
const bodyWithOverlay = Effect.fn("OpenAIImages.bodyWithOverlay")(function* (
imageBody: OpenAIImageBody,
overlay: Record<string, unknown> | undefined,
) {
if (!overlay) return imageBody
const reserved = Object.keys(overlay).filter((key) => PROTOCOL_BODY_FIELDS.has(key))
if (reserved.length > 0)
return yield* ProviderShared.invalidRequest(
`http.body cannot overlay protocol-owned field(s): ${reserved.join(", ")}`,
)
return mergeJsonRecords(imageBody, overlay) ?? imageBody
})
export const model = (input: ModelInput) => {
const route: ImageRoute = {
id: ADAPTER,
generate: Effect.fn("OpenAIImages.generate")(function* (request: ImageRequest, execute) {
if (request.aspectRatio !== undefined)
return yield* ProviderShared.invalidRequest("OpenAI Images does not support the common aspectRatio option")
if (request.seed !== undefined)
return yield* ProviderShared.invalidRequest("OpenAI Images does not support the common seed option")
const requestBody = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenAIImageBody))(body(request))
const http = mergeHttpOptions(request.model.defaults?.http, request.http)
const overlaidBody = yield* bodyWithOverlay(requestBody, http?.body)
const text = ProviderShared.encodeJson(overlaidBody)
const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\/$/, "")}${PATH}`, http?.query)
const headers = yield* Auth.toEffect(input.auth)({
request,
method: "POST",
url,
body: text,
headers: Headers.fromInput({ ...input.headers, ...http?.headers }),
})
const response = yield* execute(
HttpClientRequest.post(url).pipe(
HttpClientRequest.setHeaders(headers),
HttpClientRequest.bodyText(text, "application/json"),
),
)
const payload = yield* response.json.pipe(
Effect.mapError(() => invalidOutput("Failed to read the OpenAI Images response")),
)
const decoded = yield* Schema.decodeUnknownEffect(OpenAIImageResponse)(payload).pipe(
Effect.mapError(() => invalidOutput("OpenAI Images returned an invalid response")),
)
const format = decoded.output_format ?? providerOptions(request).outputFormat ?? "png"
const images = yield* Effect.forEach(decoded.data, (item, index) => {
if (item.b64_json)
return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(
Effect.mapError(() => invalidOutput(`OpenAI Images result ${index} contains invalid base64 data`)),
Effect.map(
(data) =>
new GeneratedImage({
mediaType: `image/${format}`,
data,
providerMetadata:
item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },
}),
),
)
if (item.url)
return Effect.succeed(
new GeneratedImage({
mediaType: `image/${format}`,
data: item.url,
providerMetadata:
item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },
}),
)
return Effect.fail(invalidOutput(`OpenAI Images result ${index} has neither image data nor a URL`))
})
if (images.length === 0) return yield* invalidOutput("OpenAI Images returned no images")
return new ImageResponse({
images,
usage:
decoded.usage === undefined
? undefined
: new Usage({
inputTokens: decoded.usage.input_tokens,
outputTokens: decoded.usage.output_tokens,
totalTokens: decoded.usage.total_tokens,
providerMetadata: { openai: decoded.usage },
}),
providerMetadata: { openai: { outputFormat: format } },
})
}),
}
return ImageModel.make({ id: input.id, provider: "openai", route, defaults: input.defaults })
}
export const OpenAIImages = {
model,
} as const
@@ -1,20 +0,0 @@
import { Schema } from "effect"
const dimensions = (value: string) => {
const match = /^(\d+)x(\d+)$/.exec(value)
if (!match) return undefined
return { width: Number(match[1]), height: Number(match[2]) }
}
export const Size = Schema.String.check(
Schema.makeFilter((value) => {
if (value === "auto") return undefined
const parsed = dimensions(value)
if (!parsed) return "image size must be `auto` or `{width}x{height}`"
return parsed.width > 0 && parsed.height > 0 ? undefined : "image dimensions must be positive integers"
}),
)
export const OpenAIImage = {
Size,
} as const
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import { Option, Schema } from "effect"
import {
AuthenticationReason,
ContentPolicyReason,
InvalidRequestReason,
LLMError,
ProviderErrorEvent,
ProviderInternalReason,
QuotaExceededReason,
RateLimitReason,
UnknownProviderReason,
type HttpContext,
type HttpRateLimitDetails,
type ProviderMetadata,
} from "./schema"
const patterns = [
/prompt is too long/i,
/request_too_large/i,
/input is too long for requested model/i,
/exceeds the context window/i,
/exceeds (?:the )?(?:model'?s )?maximum context length(?: of [\d,]+ tokens?|\s*\([\d,]+\))/i,
/input token count.*exceeds the maximum/i,
/tokens in request more than max tokens allowed/i,
/maximum prompt length is \d+/i,
/reduce the length of the messages/i,
/maximum context length is \d+ tokens/i,
/exceeds (?:the )?maximum allowed input length of [\d,]+ tokens?/i,
/input \(\d+ tokens\) is longer than the model'?s context length \(\d+ tokens\)/i,
/exceeds the limit of \d+/i,
/exceeds the available context size/i,
/greater than the context length/i,
/context window exceeds limit/i,
/exceeded model token limit/i,
/context[_ ]length[_ ]exceeded/i,
/request entity too large/i,
/context length is only \d+ tokens/i,
/input length.*exceeds.*context length/i,
/prompt too long; exceeded (?:max )?context length/i,
/too large for model with \d+ maximum context length/i,
/prompt has [\d,]+ tokens?, but the configured context size is [\d,]+ tokens?/i,
/model_context_window_exceeded/i,
/too many tokens/i,
/token limit exceeded/i,
]
const exclusions = [/^(throttling error|service unavailable):/i, /rate limit/i, /too many requests/i]
export const isContextOverflow = (message: string) =>
!exclusions.some((pattern) => pattern.test(message)) &&
(patterns.some((pattern) => pattern.test(message)) || /^4(00|13)\s*(status code)?\s*\(no body\)/i.test(message))
export const isContextOverflowFailure = (failure: unknown) =>
failure instanceof LLMError
? failure.reason._tag === "InvalidRequest" && failure.reason.classification === "context-overflow"
: Schema.is(ProviderErrorEvent)(failure) && failure.classification === "context-overflow"
const decodeJson = Schema.decodeUnknownOption(Schema.UnknownFromJsonString)
const QUOTA_CODES = new Set(["insufficient_quota", "usage_not_included", "billing_error"])
const SERVER_CODES = new Set([
"api_error",
"internal_error",
"internalserverexception",
"modelstreamerrorexception",
"overloaded_error",
"server_error",
"server_is_overloaded",
"serviceunavailableexception",
])
const INVALID_REQUEST_CODES = new Set(["invalid_prompt", "invalid_request_error", "validationexception"])
const RATE_LIMIT_TEXT = /rate increased too quickly|rate[-_\s]?limit|too[_\s]?many[_\s]?requests/i
const QUOTA_TEXT = /insufficient[-_\s]?quota|quota[-_\s]?exceeded/i
const CONTENT_POLICY_TEXT = /content[-_\s]?policy|content_filter|safety/i
export interface ProviderFailure {
readonly message: string
readonly status?: number | undefined
readonly code?: string | undefined
readonly retryAfterMs?: number | undefined
readonly rateLimit?: HttpRateLimitDetails | undefined
readonly http?: HttpContext | undefined
readonly providerMetadata?: ProviderMetadata | undefined
}
// Keep HTTP failures and provider-reported stream failures on one typed path so
// session retry policy never needs provider-specific string matching.
export function classifyProviderFailure(input: ProviderFailure): LLMError["reason"] {
const body = input.http?.body ?? ""
const codes = [input.code, ...providerCodes(body), ...providerCodes(input.message)]
.filter((code): code is string => code !== undefined)
.map((code) => code.toLowerCase())
const text = body || input.message
const common = { message: input.message, providerMetadata: input.providerMetadata, http: input.http }
const clientScoped = input.status === undefined || (input.status >= 400 && input.status < 500)
if (
clientScoped &&
(codes.includes("context_length_exceeded") ||
codes.includes("model_context_window_exceeded") ||
isContextOverflow(text))
)
return new InvalidRequestReason({ ...common, classification: "context-overflow" })
if (CONTENT_POLICY_TEXT.test(text)) return new ContentPolicyReason(common)
if (codes.some((code) => QUOTA_CODES.has(code)) || (input.status === 429 && QUOTA_TEXT.test(text)))
return new QuotaExceededReason(common)
if (input.status === 401) return new AuthenticationReason({ ...common, kind: "invalid" })
if (input.status === 403) return new AuthenticationReason({ ...common, kind: "insufficient-permissions" })
if (codes.includes("authentication_error")) return new AuthenticationReason({ ...common, kind: "invalid" })
if (codes.includes("permission_error"))
return new AuthenticationReason({ ...common, kind: "insufficient-permissions" })
if (
codes.some((code) => code.includes("rate_limit") || code === "too_many_requests" || code === "throttlingexception")
)
return new RateLimitReason({
...common,
retryAfterMs: input.retryAfterMs,
rateLimit: input.rateLimit,
})
if (RATE_LIMIT_TEXT.test(text))
return new RateLimitReason({
...common,
retryAfterMs: input.retryAfterMs,
rateLimit: input.rateLimit,
})
if (codes.some((code) => SERVER_CODES.has(code) || code.includes("exhausted") || code.includes("unavailable")))
return new ProviderInternalReason({
...common,
status: input.status,
retryAfterMs: input.retryAfterMs,
})
if (input.status === 429) {
return new RateLimitReason({
...common,
retryAfterMs: input.retryAfterMs,
rateLimit: input.rateLimit,
})
}
if (input.status !== undefined && input.status >= 500)
return new ProviderInternalReason({
...common,
status: input.status,
retryAfterMs: input.retryAfterMs,
})
if (codes.some((code) => INVALID_REQUEST_CODES.has(code))) return new InvalidRequestReason(common)
if (
input.status === 400 ||
input.status === 404 ||
input.status === 409 ||
input.status === 413 ||
input.status === 422
)
return new InvalidRequestReason(common)
return new UnknownProviderReason({ ...common, status: input.status })
}
function providerCodes(value: string) {
const decoded = Option.getOrUndefined(decodeJson(value))
if (!isRecord(decoded)) return []
const error = isRecord(decoded.error) ? decoded.error : undefined
return [decoded.code, error?.code, error?.type].filter((value): value is string => typeof value === "string")
}
function isRecord(value: unknown): value is Record<string, unknown> {
return typeof value === "object" && value !== null
}
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@@ -1,16 +0,0 @@
import type { Model } from "./schema"
export interface Settings extends Readonly<Record<string, unknown>> {
readonly headers?: Readonly<Record<string, string>>
readonly body?: Readonly<Record<string, unknown>>
readonly limits?: {
readonly context: number
readonly output: number
}
}
export interface Definition<ProviderSettings extends Settings = Settings> {
readonly model: (modelID: string, settings: ProviderSettings) => Model
}
export * as ProviderPackage from "./provider-package"
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@@ -1 +0,0 @@
export * from "./providers/index"
@@ -1,67 +0,0 @@
import type { ProviderPackage } from "../provider-package"
import { AnthropicMessages } from "../protocols/anthropic-messages"
import { Auth } from "../route/auth"
import type { ProviderAuthOption } from "../route/auth-options"
import type { RouteDefaultsInput } from "../route/client"
import { ProviderID, type ModelID } from "../schema"
export const id = ProviderID.make("anthropic-compatible")
export type Config = RouteDefaultsInput &
ProviderAuthOption<"optional"> & {
readonly provider?: string
readonly baseURL: string
}
export type Settings = ProviderPackage.Settings &
(
| { readonly apiKey?: string; readonly authToken?: never }
| { readonly apiKey?: never; readonly authToken?: string }
) & {
readonly baseURL: string
readonly provider?: string
}
export const routes = [AnthropicMessages.route]
const auth = (input: ProviderAuthOption<"optional">) => {
if ("auth" in input && input.auth) return input.auth
return Auth.optional("apiKey" in input ? input.apiKey : undefined, "apiKey").pipe(Auth.header("x-api-key"))
}
export const configure = (input: Config) => {
if (!input.baseURL) throw new Error("Anthropic-compatible providers require a baseURL")
const provider = input.provider ?? "anthropic-compatible"
const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input
const route = AnthropicMessages.route.with({
...rest,
provider,
endpoint: { baseURL },
auth: auth(input),
})
return {
id: ProviderID.make(provider),
model: (modelID: string | ModelID) => route.model({ id: modelID }),
configure,
}
}
export const provider = {
id,
configure,
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
if (settings.apiKey !== undefined && settings.authToken !== undefined)
throw new Error("Anthropic-compatible apiKey cannot be combined with authToken")
return configure({
...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),
baseURL: settings.baseURL,
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
provider: settings.provider,
}).model(modelID)
}
export * as AnthropicCompatible from "./anthropic-compatible"
-56
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@@ -1,56 +0,0 @@
import type { RouteDefaultsInput } from "../route/client"
import { Auth } from "../route/auth"
import type { ProviderAuthOption } from "../route/auth-options"
import type { ProviderPackage } from "../provider-package"
import { ProviderID, type ModelID } from "../schema"
import { AnthropicMessages } from "../protocols/anthropic-messages"
import { AnthropicCompatible } from "./anthropic-compatible"
export const id = ProviderID.make("anthropic")
export const routes = [AnthropicMessages.route]
export type Config = RouteDefaultsInput & ProviderAuthOption<"optional"> & { readonly baseURL?: string }
export type Settings = ProviderPackage.Settings &
(
| { readonly apiKey?: string; readonly authToken?: never }
| { readonly apiKey?: never; readonly authToken?: string }
) & {
readonly baseURL?: string
}
const auth = (options: ProviderAuthOption<"optional">) => {
if ("auth" in options && options.auth) return options.auth
return Auth.optional("apiKey" in options ? options.apiKey : undefined, "apiKey")
.orElse(Auth.config("ANTHROPIC_API_KEY"))
.pipe(Auth.header("x-api-key"))
}
export const configure = (input: Config = {}) => {
const { apiKey: _, auth: _auth, baseURL, ...rest } = input
const compatible = AnthropicCompatible.configure({
...rest,
auth: auth(input),
baseURL: baseURL ?? AnthropicMessages.DEFAULT_BASE_URL,
provider: id,
})
return {
id,
model: (modelID: string | ModelID) => compatible.model(modelID),
configure,
}
}
export const provider = configure()
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
if (settings.apiKey !== undefined && settings.authToken !== undefined)
throw new Error("Anthropic apiKey cannot be combined with authToken")
return configure({
...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),
baseURL: settings.baseURL,
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
}).model(modelID)
}
-2
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@@ -1,2 +0,0 @@
export { chatModel as model } from "../azure"
export type { Settings } from "../azure"
@@ -1,2 +0,0 @@
export { responsesModel as model } from "../azure"
export type { Settings } from "../azure"
@@ -1,81 +0,0 @@
import type { ProviderPackage } from "../provider-package"
import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat"
import type { RouteDefaultsInput } from "../route/client"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
export const id = ProviderID.make("google-vertex")
export type Config = RouteDefaultsInput &
GoogleVertexShared.OAuthOptions & {
readonly baseURL?: string
readonly location?: string
readonly project?: string
}
export interface Settings extends ProviderPackage.Settings {
readonly accessToken?: string
readonly apiKey?: never
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: ProviderOptions
}
const route = OpenAICompatibleChat.route.with({
id: "google-vertex-chat",
provider: id,
})
export const routes = [route]
const configuredRoute = (input: Config) => {
if ("apiKey" in input && input.apiKey !== undefined) throw new Error("Google Vertex Chat does not support API keys")
const {
accessToken: _accessToken,
auth: _auth,
baseURL,
location: inputLocation,
project: inputProject,
...rest
} = input
const location = GoogleVertexShared.location(inputLocation, "global")
const project = GoogleVertexShared.project(inputProject)
return route.with({
...rest,
endpoint: {
baseURL:
baseURL ??
`https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,
},
auth: GoogleVertexShared.oauth(input, project),
})
}
export const configure = (input: Config = {}) => {
const route = configuredRoute(input)
return {
id,
model: (modelID: string | ModelID) => route.model({ id: modelID }),
configure,
}
}
export const provider = {
id,
configure,
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
if (settings.apiKey !== undefined) throw new Error("Google Vertex Chat does not support API keys")
return configure({
accessToken: settings.accessToken,
baseURL: settings.baseURL,
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
location: settings.location,
project: settings.project,
providerOptions: settings.providerOptions,
}).model(modelID)
}
@@ -1,111 +0,0 @@
import { Effect, Schema, Struct } from "effect"
import type { ProviderPackage } from "../provider-package"
import { AnthropicMessages } from "../protocols/anthropic-messages"
import { Auth } from "../route/auth"
import { Route, type RouteDefaultsInput } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
import { Protocol } from "../route/protocol"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
const VERSION = "vertex-2023-10-16" as const
// models.dev uses this provider id even though the API contract is Anthropic Messages.
export const id = ProviderID.make("google-vertex-anthropic")
export type Config = RouteDefaultsInput &
GoogleVertexShared.OAuthOptions & {
readonly baseURL?: string
readonly location?: string
readonly project?: string
}
export interface Settings extends ProviderPackage.Settings {
readonly accessToken?: string
readonly apiKey?: never
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: ProviderOptions
}
const route = Route.make({
id: "google-vertex-messages",
provider: id,
providerMetadataKey: "anthropic",
protocol: Protocol.make({
id: AnthropicMessages.protocol.id,
body: {
schema: Schema.Struct({
...Struct.omit(AnthropicMessages.AnthropicMessagesBody.fields, ["model"]),
anthropic_version: Schema.Literal(VERSION),
}),
from: (request) =>
AnthropicMessages.protocol.body.from(request).pipe(
Effect.map((body) => ({
...Struct.omit(body, ["model"]),
anthropic_version: VERSION,
})),
),
},
stream: AnthropicMessages.protocol.stream,
}),
endpoint: Endpoint.path(({ request }) => `/${request.model.id}:streamRawPredict`),
auth: Auth.none,
framing: Framing.sse,
})
export const routes = [route]
const configuredRoute = (input: Config) => {
if ("apiKey" in input && input.apiKey !== undefined)
throw new Error("Google Vertex Messages does not support API keys")
const {
accessToken: _accessToken,
auth: _auth,
baseURL,
location: inputLocation,
project: inputProject,
...rest
} = input
const location = GoogleVertexShared.location(inputLocation, "global")
const project = GoogleVertexShared.project(inputProject)
return route.with({
...rest,
endpoint: {
baseURL:
baseURL ??
`https://${GoogleVertexShared.host(location)}/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/publishers/anthropic/models`,
},
auth: GoogleVertexShared.oauth(input, project),
})
}
export const configure = (input: Config = {}) => {
const route = configuredRoute(input)
return {
id,
model: (modelID: string | ModelID) => route.model({ id: modelID }),
configure,
}
}
export const provider = {
id,
configure,
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
if (settings.apiKey !== undefined) throw new Error("Google Vertex Messages does not support API keys")
return configure({
accessToken: settings.accessToken,
baseURL: settings.baseURL,
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
location: settings.location,
project: settings.project,
providerOptions: settings.providerOptions,
}).model(modelID)
}
@@ -1,82 +0,0 @@
import type { ProviderPackage } from "../provider-package"
import { OpenAICompatibleResponses } from "../protocols/openai-compatible-responses"
import type { RouteDefaultsInput } from "../route/client"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
export const id = ProviderID.make("google-vertex")
export type Config = RouteDefaultsInput &
GoogleVertexShared.OAuthOptions & {
readonly baseURL?: string
readonly location?: string
readonly project?: string
}
export interface Settings extends ProviderPackage.Settings {
readonly accessToken?: string
readonly apiKey?: never
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: ProviderOptions
}
const route = OpenAICompatibleResponses.route.with({
id: "google-vertex-responses",
provider: id,
})
export const routes = [route]
const configuredRoute = (input: Config) => {
if ("apiKey" in input && input.apiKey !== undefined)
throw new Error("Google Vertex Responses does not support API keys")
const {
accessToken: _accessToken,
auth: _auth,
baseURL,
location: inputLocation,
project: inputProject,
...rest
} = input
const location = GoogleVertexShared.location(inputLocation, "global")
const project = GoogleVertexShared.project(inputProject)
return route.with({
...rest,
endpoint: {
baseURL:
baseURL ??
`https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,
},
auth: GoogleVertexShared.oauth(input, project),
})
}
export const configure = (input: Config = {}) => {
const route = configuredRoute(input)
return {
id,
model: (modelID: string | ModelID) => route.model({ id: modelID }),
configure,
}
}
export const provider = {
id,
configure,
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
if (settings.apiKey !== undefined) throw new Error("Google Vertex Responses does not support API keys")
return configure({
accessToken: settings.accessToken,
baseURL: settings.baseURL,
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
location: settings.location,
project: settings.project,
providerOptions: settings.providerOptions,
}).model(modelID)
}
@@ -1,77 +0,0 @@
import type { AnyAuthClient } from "google-auth-library"
import { Effect, Redacted } from "effect"
import { Auth, MissingCredentialError } from "../route/auth"
const SCOPE = "https://www.googleapis.com/auth/cloud-platform"
export type OAuthOptions =
| { readonly accessToken?: string; readonly auth?: never }
| { readonly accessToken?: never; readonly auth?: Auth.Definition }
export type ApiKeyOptions =
| (OAuthOptions & { readonly apiKey?: never })
| { readonly accessToken?: never; readonly apiKey?: string; readonly auth?: never }
export const project = (value?: string) =>
value ??
process.env.GOOGLE_VERTEX_PROJECT ??
process.env.GOOGLE_CLOUD_PROJECT ??
process.env.GCP_PROJECT ??
process.env.GCLOUD_PROJECT
export const location = (value: string | undefined, fallback: string) =>
value ??
process.env.GOOGLE_VERTEX_LOCATION ??
process.env.GOOGLE_CLOUD_LOCATION ??
process.env.VERTEX_LOCATION ??
fallback
export const host = (location: string) => {
if (location === "global") return "aiplatform.googleapis.com"
// Jurisdictional multi-regions use Regional Endpoint Platform domains.
if (location === "eu" || location === "us") return `aiplatform.${location}.rep.googleapis.com`
return `${location}-aiplatform.googleapis.com`
}
export const requireProject = (value: string | undefined) => {
if (value) return value
throw new Error("Google Vertex requires a project when baseURL is not configured")
}
export const apiKey = (input: ApiKeyOptions) => {
if (input.apiKey !== undefined && (input.accessToken !== undefined || input.auth !== undefined))
throw new Error("Google Vertex apiKey cannot be combined with accessToken or auth")
if (input.accessToken !== undefined || input.auth !== undefined) return undefined
return input.apiKey ?? process.env.GOOGLE_VERTEX_API_KEY
}
const adc = (project?: string) => {
let client: Promise<AnyAuthClient> | undefined
const loadClient = () => {
if (client) return client
client = import("google-auth-library").then(({ GoogleAuth }) =>
new GoogleAuth({ projectId: project, scopes: [SCOPE] }).getClient(),
)
return client
}
return Auth.effect(
Effect.tryPromise({
try: async () => {
const token = await (await loadClient()).getAccessToken()
if (!token.token) throw new Error("Google ADC returned an empty access token")
return Redacted.make(token.token)
},
catch: () => new MissingCredentialError("Google Application Default Credentials"),
}),
).bearer()
}
export const oauth = (input: OAuthOptions, project?: string) => {
if (input.accessToken !== undefined && input.auth !== undefined)
throw new Error("Google Vertex accessToken cannot be combined with auth")
if (input.auth) return input.auth
if (input.accessToken !== undefined) return Auth.bearer(input.accessToken)
return adc(project)
}
export * as GoogleVertexShared from "./google-vertex-shared"
@@ -1,98 +0,0 @@
import type { ProviderPackage } from "../provider-package"
import { Gemini } from "../protocols/gemini"
import { Auth } from "../route/auth"
import { Route, type RouteDefaultsInput } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
export const id = ProviderID.make("google-vertex")
export type Config = RouteDefaultsInput &
GoogleVertexShared.ApiKeyOptions & {
readonly baseURL?: string
readonly location?: string
readonly project?: string
}
export type Settings = ProviderPackage.Settings &
(
| { readonly accessToken?: string; readonly apiKey?: never }
| { readonly accessToken?: never; readonly apiKey?: string }
) & {
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: ProviderOptions
}
const route = Route.make({
id: "google-vertex-gemini",
provider: id,
providerMetadataKey: "google",
protocol: Gemini.protocol,
endpoint: Endpoint.path(({ request }) => {
const model = String(request.model.id)
return `/${model.startsWith("endpoints/") ? model : `models/${model}`}:streamGenerateContent?alt=sse`
}),
auth: Auth.none,
framing: Framing.sse,
})
export const routes = [route]
const configuredRoute = (input: Config, modelID: string | ModelID) => {
const {
accessToken: _accessToken,
apiKey: _apiKey,
auth: _auth,
baseURL,
location: inputLocation,
project: inputProject,
...rest
} = input
const apiKey = GoogleVertexShared.apiKey(input)
const endpointModel = String(modelID).startsWith("endpoints/")
if (apiKey !== undefined && endpointModel)
throw new Error("Google Vertex tuned models do not support Express Mode API keys")
const location = GoogleVertexShared.location(inputLocation, "us-central1")
const project = GoogleVertexShared.project(inputProject)
const endpoint =
baseURL ??
(apiKey
? "https://aiplatform.googleapis.com/v1/publishers/google"
: `https://${GoogleVertexShared.host(location)}/v1beta1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}${endpointModel ? "" : "/publishers/google"}`)
return route.with({
...rest,
endpoint: { baseURL: endpoint },
auth: apiKey === undefined ? GoogleVertexShared.oauth(input, project) : Auth.header("x-goog-api-key", apiKey),
})
}
export const configure = (input: Config = {}) => {
return {
id,
model: (modelID: string | ModelID) => configuredRoute(input, modelID).model({ id: modelID }),
configure,
}
}
export const provider = {
id,
configure,
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
if (settings.apiKey !== undefined && settings.accessToken !== undefined)
throw new Error("Google Vertex apiKey cannot be combined with accessToken or auth")
return configure({
...(settings.apiKey === undefined ? { accessToken: settings.accessToken } : { apiKey: settings.apiKey }),
baseURL: settings.baseURL,
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
location: settings.location,
project: settings.project,
providerOptions: settings.providerOptions,
}).model(modelID)
}
@@ -1,2 +0,0 @@
export { model } from "../google-vertex-chat"
export type { Settings } from "../google-vertex-chat"
@@ -1,2 +0,0 @@
export { model } from "../google-vertex"
export type { Settings } from "../google-vertex"
@@ -1,2 +0,0 @@
export { model } from "../google-vertex-messages"
export type { Settings } from "../google-vertex-messages"
@@ -1,2 +0,0 @@
export { model } from "../google-vertex-responses"
export type { Settings } from "../google-vertex-responses"
@@ -1,55 +0,0 @@
import type { ProviderPackage } from "../provider-package"
import { OpenAICompatibleResponses } from "../protocols/openai-compatible-responses"
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
import type { RouteDefaultsInput } from "../route/client"
import { ProviderID, type ModelID } from "../schema"
import type { OpenAIProviderOptionsInput } from "./openai-options"
export const id = ProviderID.make("openai-compatible")
export type Config = RouteDefaultsInput &
ProviderAuthOption<"optional"> & {
readonly provider?: string
readonly baseURL: string
}
export interface Settings extends ProviderPackage.Settings {
readonly apiKey?: string
readonly baseURL: string
readonly provider?: string
readonly providerOptions?: OpenAIProviderOptionsInput
}
export const routes = [OpenAICompatibleResponses.route]
export const configure = (input: Config) => {
const provider = input.provider ?? "openai-compatible"
const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input
const route = OpenAICompatibleResponses.route.with({
...rest,
provider,
endpoint: { baseURL },
auth: AuthOptions.bearer(input, []),
})
return {
id: ProviderID.make(provider),
model: (modelID: string | ModelID) => route.model({ id: modelID }),
configure,
}
}
export const provider = {
id,
configure,
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
configure({
apiKey: settings.apiKey,
baseURL: settings.baseURL,
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
provider: settings.provider,
providerOptions: settings.providerOptions,
}).model(modelID)
@@ -1 +0,0 @@
export * from "../openai-compatible-responses"
-154
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@@ -1,154 +0,0 @@
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
import type { Route, RouteDefaultsInput } from "../route/client"
import type { ProviderPackage } from "../provider-package"
import { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from "../schema"
import * as OpenAIChat from "../protocols/openai-chat"
import * as OpenAIResponses from "../protocols/openai-responses"
import { withOpenAIOptions, type OpenAIProviderOptionsInput } from "./openai-options"
import { OpenAIImages, type OpenAIImageOptions } from "../protocols/openai-images"
export type { OpenAIOptionsInput, OpenAIResponseIncludable } from "./openai-options"
export type { OpenAIImageOptions } from "../protocols/openai-images"
export const id = ProviderID.make("openai")
export const routes = [OpenAIResponses.route, OpenAIResponses.webSocketRoute, OpenAIChat.route]
// This provider facade wraps the lower-level Responses and Chat model factories
// with OpenAI-specific conveniences: typed options, API-key sugar, env fallback,
// and default option normalization.
export type Config = RouteDefaultsInput &
ProviderAuthOption<"optional"> & {
readonly baseURL?: string
readonly queryParams?: Record<string, string>
readonly providerOptions?: OpenAIProviderOptionsInput
readonly image?: ImageConfig
}
export interface ImageConfig {
readonly providerOptions?: OpenAIImageOptions
}
export interface ImageGenerationOptions {
readonly action?: "auto" | "generate" | "edit"
readonly background?: "auto" | "opaque" | "transparent"
readonly inputFidelity?: "low" | "high"
readonly outputCompression?: number
readonly outputFormat?: "png" | "jpeg" | "webp"
readonly partialImages?: number
readonly quality?: "auto" | "low" | "medium" | "high"
readonly size?: string
}
export const imageGeneration = (options: ImageGenerationOptions = {}) =>
ToolDefinition.make({
name: "image_generation",
description: "Generate or edit an image using OpenAI's hosted image generation tool.",
inputSchema: { type: "object", properties: {}, additionalProperties: false },
native: {
openai: {
type: "image_generation",
action: options.action,
background: options.background,
input_fidelity: options.inputFidelity,
output_compression: options.outputCompression,
output_format: options.outputFormat,
partial_images: options.partialImages,
quality: options.quality,
size: options.size,
},
},
})
export interface Settings extends ProviderPackage.Settings {
readonly apiKey?: string
readonly baseURL?: string
readonly organization?: string
readonly project?: string
readonly queryParams?: Readonly<Record<string, string>>
readonly transport?: "http" | "websocket"
readonly providerOptions?: OpenAIProviderOptionsInput
}
const auth = (options: ProviderAuthOption<"optional">) => AuthOptions.bearer(options, "OPENAI_API_KEY")
const defaults = (input: Config) => {
const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, image: _image, ...rest } = input
return rest
}
const configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) =>
route.with({
auth: auth(input),
endpoint: { baseURL: input.baseURL, query: input.queryParams },
})
export const configure = (input: Config = {}) => {
const responsesRoute = configuredRoute(OpenAIResponses.route, input)
const responsesWebSocketRoute = configuredRoute(OpenAIResponses.webSocketRoute, input)
const chatRoute = configuredRoute(OpenAIChat.route, input)
const modelDefaults = defaults(input)
const responses = (id: string | ModelID) =>
responsesRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })
const responsesWebSocket = (id: string | ModelID) =>
responsesWebSocketRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })
const chat = (id: string | ModelID) => chatRoute.with(withOpenAIOptions(id, modelDefaults)).model({ id })
const image = (modelID: string | ModelID) =>
OpenAIImages.model({
id: modelID,
auth: auth(input),
baseURL: input.baseURL,
headers: input.headers,
defaults: {
providerOptions:
input.image?.providerOptions === undefined ? undefined : { openai: { ...input.image.providerOptions } },
http: mergeHttpOptions(
input.http === undefined ? undefined : HttpOptions.make(input.http),
input.queryParams === undefined ? undefined : new HttpOptions({ query: input.queryParams }),
),
},
})
return {
id,
model: responses,
responses,
responsesWebSocket,
chat,
image,
configure,
}
}
export const provider = configure()
const config = (settings: Settings): Config => {
const headers = {
...(settings.organization === undefined ? {} : { "OpenAI-Organization": settings.organization }),
...(settings.project === undefined ? {} : { "OpenAI-Project": settings.project }),
...settings.headers,
}
return {
apiKey: settings.apiKey,
baseURL: settings.baseURL,
headers: Object.keys(headers).length === 0 ? undefined : headers,
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
providerOptions: settings.providerOptions,
queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },
}
}
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
const configured = configure(config(settings))
if (settings.transport === undefined || settings.transport === "http") return configured.responses(modelID)
if (settings.transport === "websocket") return configured.responsesWebSocket(modelID)
throw new Error(`Unsupported OpenAI Responses transport: ${String(settings.transport)}`)
}
export const chatModel: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
configure(config(settings)).chat(modelID)
export const responses = provider.responses
export const responsesWebSocket = provider.responsesWebSocket
export const chat = provider.chat
export const image = provider.image
-2
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@@ -1,2 +0,0 @@
export { chatModel as model } from "../openai"
export type { Settings } from "../openai"
@@ -1,2 +0,0 @@
export { model } from "../openai"
export type { Settings } from "../openai"
-1
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@@ -1 +0,0 @@
export * from "./route/index"
-10
View File
@@ -1,10 +0,0 @@
/* This file is auto-generated by SST. Do not edit. */
/* tslint:disable */
/* eslint-disable */
/* deno-fmt-ignore-file */
/* biome-ignore-all lint: auto-generated */
/// <reference path="../../sst-env.d.ts" />
import "sst"
export {}
@@ -1,40 +0,0 @@
{
"version": 1,
"metadata": {
"provider": "minimax",
"protocol": "anthropic-messages",
"route": "anthropic-messages",
"transport": "http",
"model": "MiniMax-M3",
"tags": [
"prefix:anthropic-compatible-messages",
"provider:minimax",
"protocol:anthropic-messages",
"text",
"golden"
],
"name": "anthropic-compatible-messages/minimax-m3-anthropic-compatible-text",
"recordedAt": "2026-07-18T03:42:22.893Z"
},
"interactions": [
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://api.minimax.io/anthropic/v1/messages",
"headers": {
"anthropic-version": "2023-06-01",
"content-type": "application/json"
},
"body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"You are concise.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply exactly with: Hello!\"}]}],\"stream\":true,\"max_tokens\":40,\"temperature\":0}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream; charset=utf-8"
},
"body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"1a0b363d0882af316faebcec4d4855a8\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":53,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"!\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":53,\"output_tokens\":2,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
}
}
]
}
@@ -1,41 +0,0 @@
{
"version": 1,
"metadata": {
"provider": "minimax",
"protocol": "anthropic-messages",
"route": "anthropic-messages",
"transport": "http",
"model": "MiniMax-M3",
"tags": [
"prefix:anthropic-compatible-messages",
"provider:minimax",
"protocol:anthropic-messages",
"tool",
"tool-call",
"golden"
],
"name": "anthropic-compatible-messages/minimax-m3-anthropic-compatible-tool-call",
"recordedAt": "2026-07-18T03:42:23.876Z"
},
"interactions": [
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://api.minimax.io/anthropic/v1/messages",
"headers": {
"anthropic-version": "2023-06-01",
"content-type": "application/json"
},
"body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"Call tools exactly as requested.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Call get_weather with city exactly Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream; charset=utf-8"
},
"body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6731ecc323233459d1792df9a733dd98\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":404,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_function_vkxtif4epmvm_1\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":290,\"output_tokens\":27,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
}
}
]
}
@@ -1,60 +0,0 @@
{
"version": 1,
"metadata": {
"provider": "minimax",
"protocol": "anthropic-messages",
"route": "anthropic-messages",
"transport": "http",
"model": "MiniMax-M3",
"tags": [
"prefix:anthropic-compatible-messages",
"provider:minimax",
"protocol:anthropic-messages",
"tool",
"tool-loop",
"golden"
],
"name": "anthropic-compatible-messages/minimax-m3-anthropic-compatible-tool-loop",
"recordedAt": "2026-07-18T03:42:25.248Z"
},
"interactions": [
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://api.minimax.io/anthropic/v1/messages",
"headers": {
"anthropic-version": "2023-06-01",
"content-type": "application/json"
},
"body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream; charset=utf-8"
},
"body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"3807fa12f9ecb9357df511e099da6da0\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":417,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_function_yr64rwmre4gr_1\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":303,\"output_tokens\":27,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
}
},
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://api.minimax.io/anthropic/v1/messages",
"headers": {
"anthropic-version": "2023-06-01",
"content-type": "application/json"
},
"body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"call_function_yr64rwmre4gr_1\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_function_yr64rwmre4gr_1\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream; charset=utf-8"
},
"body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"92f8a1e86f29946eb2699d40a088fc08\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":41,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":430,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" is sunny.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":41,\"output_tokens\":4,\"cache_read_input_tokens\":430,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
}
}
]
}
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@@ -1,34 +0,0 @@
{
"version": 1,
"metadata": {
"model": "anthropic/claude-sonnet-4.6",
"tags": [
"prefix:openai-compatible-chat",
"provider:openrouter",
"protocol:openai-chat",
"reasoning"
],
"name": "openrouter-reasoning",
"recordedAt": "2026-07-18T11:28:39.267Z"
},
"interactions": [
{
"transport": "http",
"request": {
"method": "POST",
"url": "https://openrouter.ai/api/v1/chat/completions",
"headers": {
"content-type": "application/json"
},
"body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":\"Think through the arithmetic, then reply with only the final integer.\"},{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219?\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":1536,\"temperature\":0,\"reasoning\":{\"max_tokens\":1024}}"
},
"response": {
"status": 200,
"headers": {
"content-type": "text/event-stream"
},
"body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"EtgCCosBCA8YAipA0W4viH3kgBs43Cl5ewwVBPXTQElvzfbA2TLF4iSbKy9ZZDCSDjjAlF3Bs4ELEnP3vrrTuTioC6OB380lXQdyIDIRY2xhdWRlLXNvbm5ldC00LTY4AEIIdGhpbmtpbmdaJDRjMGYwNDZmLTI1ZmQtNDVmYi1iZmIzLWEwOGE4ZTI0OWNhNxIMMiUlJC3x/5p5PuTwGgwlc8eipZyoM94BHwMiMO45uQx/ymeOjbugi7RDVPZ4jZXSIiEbVi2CD7zPjAK5fFQoVGP1HD55v9CER823JCp6Dg5Xb7Lrk6NUd1XN2KTKrttK7mATE+IBrDTFmor/1cNeg+9gjIbxM/jn/6L5HPmh3/esEVu24Q0IGLZVoE7cTgGgxsrceKMD71Jp2XQgIWD8ltsPfWw3gSc4p+z18UuPN6LuR0mHHENTnClHrAPnOrxbDIl4ZwZgMX8YAQ==\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":29,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
}
}
]
}
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-95
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@@ -1,95 +0,0 @@
import { describe, expect } from "bun:test"
import { Effect, Layer } from "effect"
import { HttpClientRequest } from "effect/unstable/http"
import { Image, ImageClient } from "../src"
import { OpenAI } from "../src/providers"
import { it } from "./lib/effect"
import { dynamicResponse } from "./lib/http"
describe("Image", () => {
it.effect("generates images through the OpenAI Images API", () =>
Effect.gen(function* () {
const response = yield* Image.generate({
model: OpenAI.configure({
apiKey: "test",
baseURL: "https://api.openai.test/v1",
queryParams: { "api-version": "v1" },
http: { body: { deployment: "test" }, headers: { "x-default": "yes" } },
}).image("gpt-image-2"),
prompt: "A robot tending a rooftop garden",
count: 2,
size: { width: 1024, height: 1024 },
providerOptions: {
openai: { quality: "high", outputFormat: "webp" },
},
http: {
body: { request_metadata: "value" },
headers: { "x-request": "yes" },
query: { trace: "1" },
},
})
expect(response.images).toHaveLength(2)
expect(response.image?.mediaType).toBe("image/webp")
expect(response.image?.data).toEqual(Uint8Array.from([1, 2, 3]))
expect(response.image?.providerMetadata).toEqual({ openai: { revisedPrompt: "A precise robot" } })
expect(response.usage?.totalTokens).toBe(12)
}).pipe(
Effect.provide(
ImageClient.layer.pipe(
Layer.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(request.url).toBe("https://api.openai.test/v1/images/generations?api-version=v1&trace=1")
expect(request.headers.get("authorization")).toBe("Bearer test")
expect(request.headers.get("x-default")).toBe("yes")
expect(request.headers.get("x-request")).toBe("yes")
expect(JSON.parse(input.text)).toEqual({
model: "gpt-image-2",
prompt: "A robot tending a rooftop garden",
n: 2,
size: "1024x1024",
quality: "high",
output_format: "webp",
deployment: "test",
request_metadata: "value",
})
return input.respond(
JSON.stringify({
data: [{ b64_json: "AQID", revised_prompt: "A precise robot" }, { b64_json: "BAUG" }],
output_format: "webp",
usage: { input_tokens: 4, output_tokens: 8, total_tokens: 12 },
}),
{ headers: { "content-type": "application/json" } },
)
}),
),
),
),
),
),
)
it.effect("rejects invalid common and OpenAI image options locally", () =>
Image.generate({
model: OpenAI.configure({ apiKey: "test", baseURL: "https://api.openai.test/v1" }).image("gpt-image-2"),
prompt: "A robot tending a rooftop garden",
count: -1,
size: { width: -1, height: 0.5 },
providerOptions: { openai: { outputCompression: 101 } },
}).pipe(
Effect.flip,
Effect.tap((error) =>
Effect.sync(() => {
expect(error.reason._tag).toBe("InvalidRequest")
}),
),
Effect.provide(
ImageClient.layer.pipe(
Layer.provide(dynamicResponse(() => Effect.die("invalid request should not reach the provider"))),
),
),
),
)
})
-76
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@@ -1,76 +0,0 @@
import { describe, expect, test } from "bun:test"
import { isContextOverflow } from "../src"
import { classifyProviderFailure } from "../src/provider-error"
describe("provider error classification", () => {
test("classifies provider token limit messages as context overflow", () => {
const messages = [
"tokens in request more than max tokens allowed",
'{"error":{"type":"request_too_large","message":"Request exceeds the maximum size"}}',
"Requested token count exceeds the model's maximum context length of 131072 tokens.",
"Input length (265330) exceeds model's maximum context length (262144).",
"Input length 131393 exceeds the maximum allowed input length of 131040 tokens.",
"The input (516368 tokens) is longer than the model's context length (262144 tokens).",
"Prompt has 5,958,968 tokens, but the configured context size is 256,000 tokens",
"Too many tokens",
"Token limit exceeded",
]
expect(messages.every(isContextOverflow)).toBe(true)
})
test("does not classify rate limits as context overflow", () => {
const messages = [
"Throttling error: Too many tokens, please wait before trying again.",
"Rate limit exceeded, please retry after 30 seconds.",
"Too many requests. Please slow down.",
]
expect(messages.some(isContextOverflow)).toBe(false)
})
test("classifies V1 plain-text rate limit fallbacks", () => {
expect(
[
"Request rate increased too quickly",
"Rate limit exceeded, please try again later",
"Too many requests, please slow down",
].map((message) => classifyProviderFailure({ message })._tag),
).toEqual(["RateLimit", "RateLimit", "RateLimit"])
})
test("classifies V1 JSON rate limit fallbacks", () => {
expect(
[
'{"type":"error","error":{"type":"too_many_requests"}}',
'{"type":"error","error":{"code":"rate_limit_exceeded"}}',
'{"code":"bad_request","error":{"code":"rate_limit_exceeded"}}',
'{"type":"error","error":{"code":"unknown","type":"too_many_requests"}}',
].map((message) => classifyProviderFailure({ message })._tag),
).toEqual(["RateLimit", "RateLimit", "RateLimit", "RateLimit"])
})
test("classifies V1 overloaded provider codes", () => {
expect(
['{"code":"resource_exhausted"}', '{"code":"service_unavailable"}'].map(
(message) => classifyProviderFailure({ message })._tag,
),
).toEqual(["ProviderInternal", "ProviderInternal"])
})
test("classifies nested provider codes when a top-level code is also present", () => {
expect(
[
'{"code":"bad_request","error":{"code":"usage_not_included"}}',
'{"code":"bad_request","error":{"code":"server_error"}}',
'{"code":"bad_request","error":{"type":"invalid_request_error"}}',
].map((message) => classifyProviderFailure({ message })._tag),
).toEqual(["QuotaExceeded", "ProviderInternal", "InvalidRequest"])
})
test("keeps unknown and malformed provider payloads non-retryable", () => {
expect(classifyProviderFailure({ message: '{"error":{"message":"no_kv_space"}}' })._tag).toBe("UnknownProvider")
expect(classifyProviderFailure({ message: '{"type":"error","error":{"code":123}}' })._tag).toBe("UnknownProvider")
expect(classifyProviderFailure({ message: "not-json" })._tag).toBe("UnknownProvider")
})
})
-296
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@@ -1,296 +0,0 @@
import { describe, expect, test } from "bun:test"
import { model } from "@opencode-ai/ai/providers/openai"
describe("provider package entrypoints", () => {
test("semantic API aliases expose the same contract", async () => {
const modules = await Promise.all([
import("@opencode-ai/ai/providers/openai"),
import("@opencode-ai/ai/providers/openai/responses"),
import("@opencode-ai/ai/providers/openai/chat"),
import("@opencode-ai/ai/providers/anthropic"),
import("@opencode-ai/ai/providers/anthropic-compatible"),
import("@opencode-ai/ai/providers/openai-compatible"),
import("@opencode-ai/ai/providers/openai-compatible/responses"),
import("@opencode-ai/ai/providers/amazon-bedrock"),
import("@opencode-ai/ai/providers/azure"),
import("@opencode-ai/ai/providers/azure/responses"),
import("@opencode-ai/ai/providers/azure/chat"),
import("@opencode-ai/ai/providers/google"),
import("@opencode-ai/ai/providers/google-vertex"),
import("@opencode-ai/ai/providers/google-vertex/gemini"),
import("@opencode-ai/ai/providers/google-vertex/chat"),
import("@opencode-ai/ai/providers/google-vertex/responses"),
import("@opencode-ai/ai/providers/google-vertex/messages"),
])
for (const module of modules) expect(module.model).toBeFunction()
expect(modules[0].model).toBe(modules[1].model)
expect(modules[8].model).toBe(modules[9].model)
expect(modules[12].model).toBe(modules[13].model)
})
test("maps package settings onto the executable model", () => {
const selected = model("gpt-5", {
apiKey: "fixture",
baseURL: "https://api.openai.test/v1",
headers: { "x-application": "opencode" },
body: { service_tier: "priority" },
limits: { context: 200_000, output: 64_000 },
unrelatedInheritedSetting: true,
})
expect(selected.route.id).toBe("openai-responses")
expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
expect(selected.route.defaults.http?.body).toEqual({ service_tier: "priority" })
expect(selected.route.defaults.limits).toEqual({ context: 200_000, output: 64_000 })
})
test("selects transport without changing the semantic API", () => {
expect(model("gpt-5", { apiKey: "fixture" }).route.id).toBe("openai-responses")
expect(model("gpt-5", { apiKey: "fixture", transport: "websocket" }).route.id).toBe("openai-responses-websocket")
})
test("maps OpenAI-compatible Responses settings onto the executable model", async () => {
const OpenAICompatibleResponses = await import("@opencode-ai/ai/providers/openai-compatible/responses")
const selected = OpenAICompatibleResponses.model("custom-model", {
apiKey: "fixture",
baseURL: "https://responses.example.test/v1",
provider: "example",
headers: { "x-application": "opencode" },
body: { service_tier: "priority" },
limits: { context: 200_000, output: 64_000 },
providerOptions: { openai: { reasoningEffort: "low", store: true } },
})
expect(String(selected.provider)).toBe("example")
expect(selected.route.id).toBe("openai-compatible-responses")
expect(selected.route.endpoint).toMatchObject({
baseURL: "https://responses.example.test/v1",
path: "/responses",
})
expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
expect(selected.route.defaults.http?.body).toEqual({ service_tier: "priority" })
expect(selected.route.defaults.limits).toEqual({ context: 200_000, output: 64_000 })
expect(selected.route.defaults.providerOptions).toEqual({
openai: { reasoningEffort: "low", store: true },
})
})
test("maps Anthropic-compatible settings onto the executable model", async () => {
const AnthropicCompatible = await import("@opencode-ai/ai/providers/anthropic-compatible")
const selected = AnthropicCompatible.model("compatible-model", {
apiKey: "fixture",
baseURL: "https://messages.example.test/v1",
provider: "example",
headers: { "x-application": "opencode" },
body: { metadata: { user_id: "user_1" } },
limits: { context: 200_000, output: 64_000 },
})
expect(String(selected.provider)).toBe("example")
expect(selected.route.id).toBe("anthropic-messages")
expect(selected.route.endpoint).toMatchObject({
baseURL: "https://messages.example.test/v1",
path: "/messages",
})
expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
expect(selected.route.defaults.http?.body).toEqual({ metadata: { user_id: "user_1" } })
expect(selected.route.defaults.limits).toEqual({ context: 200_000, output: 64_000 })
})
test("requires an Anthropic-compatible base URL at runtime", async () => {
const AnthropicCompatible = await import("@opencode-ai/ai/providers/anthropic-compatible")
expect(() =>
Reflect.apply(AnthropicCompatible.model, undefined, ["compatible-model", { apiKey: "fixture" }]),
).toThrow("Anthropic-compatible providers require a baseURL")
})
test("rejects conflicting Anthropic-compatible auth settings at runtime", async () => {
const Anthropic = await import("@opencode-ai/ai/providers/anthropic")
const AnthropicCompatible = await import("@opencode-ai/ai/providers/anthropic-compatible")
expect(() =>
Reflect.apply(AnthropicCompatible.model, undefined, [
"compatible-model",
{
apiKey: "fixture",
authToken: "token",
baseURL: "https://messages.example.test/v1",
},
]),
).toThrow("Anthropic-compatible apiKey cannot be combined with authToken")
expect(() =>
Reflect.apply(Anthropic.model, undefined, ["claude-sonnet-4-6", { apiKey: "fixture", authToken: "token" }]),
).toThrow("Anthropic apiKey cannot be combined with authToken")
})
test("maps legacy OpenAI organization and project settings to headers", () => {
const selected = model("gpt-5", {
apiKey: "fixture",
organization: "org_123",
project: "proj_123",
})
expect(selected.route.defaults.headers).toMatchObject({
"OpenAI-Organization": "org_123",
"OpenAI-Project": "proj_123",
})
})
test("selects Azure API entrypoints with the same model contract", async () => {
const Azure = await import("@opencode-ai/ai/providers/azure")
const AzureChat = await import("@opencode-ai/ai/providers/azure/chat")
const AzureResponses = await import("@opencode-ai/ai/providers/azure/responses")
const settings = {
apiKey: "fixture",
resourceName: "opencode-test",
headers: { "x-application": "opencode" },
body: { service_tier: "priority" },
limits: { context: 200_000, output: 64_000 },
}
const responses = AzureResponses.model("deployment", settings)
const chat = AzureChat.model("deployment", settings)
expect(Azure.model("deployment", settings).route.id).toBe("azure-openai-responses")
expect(responses.route.id).toBe("azure-openai-responses")
expect(responses.route.endpoint.baseURL).toBe("https://opencode-test.openai.azure.com/openai/v1")
expect(responses.route.defaults.headers).toEqual({ "x-application": "opencode" })
expect(responses.route.defaults.http?.body).toEqual({ service_tier: "priority" })
expect(responses.route.defaults.limits).toEqual({ context: 200_000, output: 64_000 })
expect(chat.route.id).toBe("azure-openai-chat")
})
test("maps Google package settings onto the Gemini model", async () => {
const Google = await import("@opencode-ai/ai/providers/google")
const selected = Google.model("gemini-2.5-flash", {
apiKey: "fixture",
baseURL: "https://generativelanguage.test/v1beta",
headers: { "x-application": "opencode" },
body: { safetySettings: [] },
limits: { context: 1_000_000, output: 65_536 },
providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 1_024 } } },
})
expect(selected.route.id).toBe("gemini")
expect(selected.route.endpoint.baseURL).toBe("https://generativelanguage.test/v1beta")
expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
expect(selected.route.defaults.http?.body).toEqual({ safetySettings: [] })
expect(selected.route.defaults.limits).toEqual({ context: 1_000_000, output: 65_536 })
expect(selected.route.defaults.providerOptions).toEqual({
gemini: { thinkingConfig: { thinkingBudget: 1_024 } },
})
})
test("selects Vertex entrypoints with the same model contract", async () => {
const GoogleVertex = await import("@opencode-ai/ai/providers/google-vertex")
const GoogleVertexGemini = await import("@opencode-ai/ai/providers/google-vertex/gemini")
const GoogleVertexChat = await import("@opencode-ai/ai/providers/google-vertex/chat")
const GoogleVertexResponses = await import("@opencode-ai/ai/providers/google-vertex/responses")
const GoogleVertexMessages = await import("@opencode-ai/ai/providers/google-vertex/messages")
const gemini = GoogleVertex.model("gemini-3.5-flash", {
apiKey: "fixture",
headers: { "x-application": "opencode" },
body: { safetySettings: [] },
limits: { context: 1_000_000, output: 65_536 },
})
const messages = GoogleVertexMessages.model("claude-sonnet-4-6", {
accessToken: "fixture",
location: "global",
project: "vertex-project",
})
const chat = GoogleVertexChat.model("deepseek-ai/deepseek-v3.2-maas", {
accessToken: "fixture",
location: "global",
project: "vertex-project",
})
const responses = GoogleVertexResponses.model("xai/grok-4.20-reasoning", {
accessToken: "fixture",
location: "global",
project: "vertex-project",
})
expect(GoogleVertexGemini.model).toBe(GoogleVertex.model)
expect(gemini.route.id).toBe("google-vertex-gemini")
expect(gemini.route.protocol).toBe("gemini")
expect(gemini.route.endpoint.baseURL).toBe("https://aiplatform.googleapis.com/v1/publishers/google")
expect(gemini.route.defaults.headers).toEqual({ "x-application": "opencode" })
expect(gemini.route.defaults.http?.body).toEqual({ safetySettings: [] })
expect(gemini.route.defaults.limits).toEqual({ context: 1_000_000, output: 65_536 })
expect(
GoogleVertex.model("gemini-3.5-flash", {
accessToken: "fixture",
location: "eu",
project: "vertex-project",
}).route.endpoint.baseURL,
).toBe("https://aiplatform.eu.rep.googleapis.com/v1beta1/projects/vertex-project/locations/eu/publishers/google")
expect(messages.route.id).toBe("google-vertex-messages")
expect(messages.route.protocol).toBe("anthropic-messages")
expect(messages.route.endpoint.baseURL).toBe(
"https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/publishers/anthropic/models",
)
expect(chat.route.id).toBe("google-vertex-chat")
expect(chat.route.protocol).toBe("openai-chat")
expect(chat.route.endpoint).toMatchObject({
baseURL: "https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi",
path: "/chat/completions",
})
expect(responses.route.id).toBe("google-vertex-responses")
expect(responses.route.protocol).toBe("openai-responses")
expect(responses.route.endpoint).toMatchObject({
baseURL: "https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi",
path: "/responses",
})
expect(responses.route.defaults.providerOptions).toEqual({ openai: { store: false } })
})
test("rejects conflicting Vertex auth settings at runtime", async () => {
const GoogleVertex = await import("@opencode-ai/ai/providers/google-vertex")
const GoogleVertexChat = await import("@opencode-ai/ai/providers/google-vertex/chat")
const GoogleVertexMessages = await import("@opencode-ai/ai/providers/google-vertex/messages")
const GoogleVertexResponses = await import("@opencode-ai/ai/providers/google-vertex/responses")
const Providers = await import("@opencode-ai/ai/providers")
expect(() =>
Reflect.apply(GoogleVertex.model, undefined, [
"gemini-3.5-flash",
{ accessToken: "token", apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex apiKey cannot be combined with accessToken or auth")
const configured = Reflect.apply(GoogleVertex.configure, undefined, [
{ accessToken: "token", auth: {}, project: "vertex-project" },
])
expect(() => configured.model("gemini-3.5-flash")).toThrow("Google Vertex accessToken cannot be combined with auth")
expect(() =>
Reflect.apply(GoogleVertexMessages.model, undefined, [
"claude-sonnet-4-6",
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Messages does not support API keys")
expect(() =>
Reflect.apply(Providers.GoogleVertexMessages.configure, undefined, [
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Messages does not support API keys")
expect(() =>
Reflect.apply(GoogleVertexChat.model, undefined, [
"deepseek-ai/deepseek-v3.2-maas",
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Chat does not support API keys")
expect(() =>
Reflect.apply(Providers.GoogleVertexChat.configure, undefined, [
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Chat does not support API keys")
expect(() =>
Reflect.apply(GoogleVertexResponses.model, undefined, [
"xai/grok-4.20-reasoning",
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Responses does not support API keys")
expect(() =>
Reflect.apply(Providers.GoogleVertexResponses.configure, undefined, [
{ apiKey: "fixture", project: "vertex-project" },
]),
).toThrow("Google Vertex Responses does not support API keys")
})
})
@@ -1,246 +0,0 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { HttpClientRequest } from "effect/unstable/http"
import { LLM } from "../../src"
import { GoogleVertex, GoogleVertexChat, GoogleVertexMessages, GoogleVertexResponses } from "../../src/providers"
import { LLMClient } from "../../src/route"
import { it } from "../lib/effect"
import { dynamicResponse } from "../lib/http"
import { deltaChunk, finishChunk } from "../lib/openai-chunks"
import { sseEvents } from "../lib/sse"
describe("Google Vertex providers", () => {
it.effect("sends Gemini requests to the global Vertex endpoint", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: GoogleVertex.configure({
accessToken: "vertex-token",
location: "global",
project: "vertex-project",
}).model("gemini-3.5-flash"),
prompt: "Say hello.",
}),
).pipe(
Effect.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(request.url).toBe(
"https://aiplatform.googleapis.com/v1beta1/projects/vertex-project/locations/global/publishers/google/models/gemini-3.5-flash:streamGenerateContent?alt=sse",
)
expect(request.headers.get("authorization")).toBe("Bearer vertex-token")
expect(yield* Effect.promise(() => request.json())).toMatchObject({
contents: [{ role: "user", parts: [{ text: "Say hello." }] }],
})
return input.respond(
sseEvents({
candidates: [
{
content: { role: "model", parts: [{ text: "Hello." }] },
finishReason: "STOP",
},
],
}),
{ headers: { "content-type": "text/event-stream" } },
)
}),
),
),
)
expect(response.text).toBe("Hello.")
}),
)
it.effect("projects Anthropic Messages onto the Vertex raw-predict API", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: GoogleVertexMessages.configure({
accessToken: "vertex-token",
location: "eu",
project: "vertex-project",
}).model("claude-sonnet-4-6"),
prompt: "Say hello.",
}),
).pipe(
Effect.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(request.url).toBe(
"https://aiplatform.eu.rep.googleapis.com/v1/projects/vertex-project/locations/eu/publishers/anthropic/models/claude-sonnet-4-6:streamRawPredict",
)
expect(request.headers.get("authorization")).toBe("Bearer vertex-token")
expect(request.headers.get("anthropic-version")).toBeNull()
const body = yield* Effect.promise(() => request.json())
expect(body).toMatchObject({
anthropic_version: "vertex-2023-10-16",
messages: [{ role: "user", content: [{ type: "text", text: "Say hello." }] }],
stream: true,
})
expect(body).not.toHaveProperty("model")
return input.respond(
sseEvents(
{ type: "content_block_start", index: 0, content_block: { type: "text", text: "" } },
{ type: "content_block_delta", index: 0, delta: { type: "text_delta", text: "Hello." } },
{ type: "content_block_stop", index: 0 },
{ type: "message_delta", delta: { stop_reason: "end_turn" }, usage: { output_tokens: 2 } },
{ type: "message_stop" },
),
{ headers: { "content-type": "text/event-stream" } },
)
}),
),
),
)
expect(response.text).toBe("Hello.")
}),
)
it.effect("sends MaaS requests through Vertex Chat Completions", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: GoogleVertexChat.configure({
accessToken: "vertex-token",
location: "global",
project: "vertex-project",
}).model("deepseek-ai/deepseek-v3.2-maas"),
prompt: "Say hello.",
}),
).pipe(
Effect.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(request.url).toBe(
"https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi/chat/completions",
)
expect(request.headers.get("authorization")).toBe("Bearer vertex-token")
expect(yield* Effect.promise(() => request.json())).toMatchObject({
model: "deepseek-ai/deepseek-v3.2-maas",
messages: [{ role: "user", content: "Say hello." }],
stream: true,
stream_options: { include_usage: true },
})
return input.respond(sseEvents(deltaChunk({ content: "Hello." }), finishChunk("stop")), {
headers: { "content-type": "text/event-stream" },
})
}),
),
),
)
expect(response.text).toBe("Hello.")
}),
)
it.effect("sends Grok requests through Vertex Responses", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: GoogleVertexResponses.configure({
accessToken: "vertex-token",
location: "global",
project: "vertex-project",
}).model("xai/grok-4.20-reasoning"),
prompt: "Say hello.",
}),
).pipe(
Effect.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(request.url).toBe(
"https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi/responses",
)
expect(request.headers.get("authorization")).toBe("Bearer vertex-token")
expect(yield* Effect.promise(() => request.json())).toMatchObject({
model: "xai/grok-4.20-reasoning",
input: [{ role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
store: false,
stream: true,
})
return input.respond(
sseEvents(
{ type: "response.output_text.delta", item_id: "msg_1", delta: "Hello." },
{ type: "response.completed", response: { id: "resp_1" } },
),
{ headers: { "content-type": "text/event-stream" } },
)
}),
),
),
)
expect(response.text).toBe("Hello.")
}),
)
it.effect("protects the Vertex Messages API version from body overlays", () =>
Effect.gen(function* () {
const error = yield* LLMClient.prepare(
LLM.request({
model: GoogleVertexMessages.configure({
accessToken: "vertex-token",
http: { body: { anthropic_version: "wrong" } },
project: "vertex-project",
}).model("claude-sonnet-4-6"),
prompt: "Say hello.",
}),
).pipe(Effect.flip)
expect(error.message).toContain("http.body cannot overlay protocol-owned field(s): anthropic_version")
}),
)
it.effect("routes tuned Gemini models through their deployed endpoint", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: GoogleVertex.configure({
accessToken: "vertex-token",
location: "us-central1",
project: "vertex-project",
}).model("endpoints/1234567890"),
prompt: "Say hello.",
}),
).pipe(
Effect.provide(
dynamicResponse((input) =>
Effect.gen(function* () {
const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
expect(request.url).toBe(
"https://us-central1-aiplatform.googleapis.com/v1beta1/projects/vertex-project/locations/us-central1/endpoints/1234567890:streamGenerateContent?alt=sse",
)
return input.respond(
sseEvents({
candidates: [
{
content: { role: "model", parts: [{ text: "Hello." }] },
finishReason: "STOP",
},
],
}),
{ headers: { "content-type": "text/event-stream" } },
)
}),
),
),
)
expect(response.text).toBe("Hello.")
}),
)
it.effect("rejects tuned Gemini models in express mode", () =>
Effect.sync(() => {
expect(() => GoogleVertex.configure({ apiKey: "fixture" }).model("endpoints/1234567890")).toThrow(
"Google Vertex tuned models do not support Express Mode API keys",
)
}),
)
})
@@ -1,142 +0,0 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { LLM, LLMEvent, LLMResponse } from "../../src"
import { OpenAIChat } from "../../src/protocols/openai-chat"
import * as OpenAICompatible from "../../src/providers/openai-compatible"
import * as OpenRouter from "../../src/providers/openrouter"
import { LLMClient } from "../../src/route"
import { recordedTests } from "../recorded-test"
import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop } from "../recorded-scenarios"
const cases = [
{
name: "OpenRouter",
model: OpenRouter.configure({
apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
providerOptions: { openrouter: { reasoning: { max_tokens: 1024 } } },
}).model("anthropic/claude-sonnet-4.6"),
requires: ["OPENROUTER_API_KEY"],
cassette: "openrouter-reasoning",
structured: true,
},
{
name: "Vercel AI Gateway",
model: OpenAICompatible.configure({
provider: "vercel-ai-gateway",
baseURL: "https://ai-gateway.vercel.sh/v1",
apiKey: process.env.AI_GATEWAY_API_KEY ?? "fixture",
http: { body: { reasoning: { enabled: true, max_tokens: 1024 } } },
}).model("anthropic/claude-sonnet-4.6"),
requires: ["AI_GATEWAY_API_KEY"],
cassette: "vercel-ai-gateway-reasoning",
structured: true,
},
] as const
for (const item of cases) {
const recorded = recordedTests({
prefix: "openai-compatible-chat",
provider: item.model.provider,
protocol: "openai-chat",
requires: item.requires,
tags: ["reasoning"],
metadata: { model: item.model.id },
})
describe(`${item.name} reasoning recorded`, () => {
recorded.effect.with(
"streams scalar reasoning",
{ cassette: item.cassette },
() =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(
LLM.request({
model: item.model,
system: "Think through the arithmetic, then reply with only the final integer.",
prompt: "What is 173 multiplied by 219?",
generation: { maxTokens: 1536, temperature: 0 },
}),
)
expect(response.text.replaceAll(",", "").trim()).toBe("37887")
expect(response.reasoning.length).toBeGreaterThan(0)
expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
const metadata = response.message.content.find((part) => part.type === "reasoning")?.providerMetadata
expect(metadata?.openai?.reasoningField).toBe(item.structured ? "reasoning" : "reasoning_content")
expect(Array.isArray(metadata?.openai?.reasoningDetails)).toBe(item.structured)
if (!item.structured) return
const details = metadata?.openai?.reasoningDetails
if (!Array.isArray(details)) return
expect(
details.some(
(detail) =>
typeof detail === "object" &&
detail !== null &&
"signature" in detail &&
typeof detail.signature === "string" &&
detail.signature.length > 0,
),
).toBe(true)
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
LLM.request({ model: item.model, messages: [response.message] }),
)
expect(replay.body.messages).toMatchObject([
{ role: "assistant", content: response.text, reasoning: response.reasoning },
])
const replayDetails =
replay.body.messages[0]?.role === "assistant" ? replay.body.messages[0].reasoning_details : undefined
expect(Array.isArray(replayDetails)).toBe(true)
if (!Array.isArray(replayDetails)) return
expect(replayDetails).toEqual(details)
expect(replayDetails).toHaveLength(1)
expect(replayDetails[0]).toMatchObject({
type: "reasoning.text",
text: response.reasoning,
signature: expect.any(String),
})
}),
30_000,
)
recorded.effect.with(
"continues signed reasoning through a tool loop",
{ cassette: `${item.cassette}-tool-loop`, tags: ["continuation", "tool", "tool-loop"] },
() =>
Effect.gen(function* () {
const events = yield* runWeatherToolLoop(
goldenWeatherToolLoopRequest({
id: `${item.cassette}-tool-loop`,
model: item.model,
maxTokens: 1536,
temperature: false,
}),
)
expectWeatherToolLoop(events)
expect(
LLMResponse.text({
events: events.slice(events.findIndex(LLMEvent.is.stepFinish) + 1),
}).trim(),
).toMatch(/^Paris is sunny\.?$/)
const details = events
.filter(LLMEvent.is.reasoningEnd)
.map((event) => event.providerMetadata?.openai?.reasoningDetails)
.find(Array.isArray)
expect(Array.isArray(details)).toBe(item.structured)
if (!item.structured || !Array.isArray(details)) return
expect(
details.some(
(detail) =>
typeof detail === "object" &&
detail !== null &&
"signature" in detail &&
typeof detail.signature === "string" &&
detail.signature.length > 0,
),
).toBe(true)
}),
60_000,
)
})
}
@@ -1,53 +0,0 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { LLM } from "../../src"
import { configure } from "../../src/providers/openai-compatible-responses"
import { OpenAICompatibleResponses } from "../../src/protocols/openai-compatible-responses"
import { OpenAIResponses } from "../../src/protocols/openai-responses"
import { LLMClient } from "../../src/route"
import { it } from "../lib/effect"
describe("OpenAI-compatible Responses route", () => {
it.effect("reuses the OpenAI Responses protocol for a configured deployment", () =>
Effect.gen(function* () {
expect(OpenAICompatibleResponses.route.body).toBe(OpenAIResponses.protocol.body)
expect(OpenAICompatibleResponses.route.transport).toBe(OpenAIResponses.httpTransport)
const model = configure({
apiKey: "test-key",
baseURL: "https://responses.example.test/v1",
provider: "example",
}).model("example-model")
const prepared = yield* LLMClient.prepare(
LLM.request({
model,
system: "You are concise.",
prompt: "Say hello.",
}),
)
expect(prepared.route).toBe("openai-compatible-responses")
expect(prepared.protocol).toBe("openai-responses")
expect(prepared.model).toMatchObject({
id: "example-model",
provider: "example",
route: {
id: "openai-compatible-responses",
endpoint: {
baseURL: "https://responses.example.test/v1",
path: "/responses",
},
},
})
expect(prepared.body).toEqual({
model: "example-model",
input: [
{ role: "system", content: "You are concise." },
{ role: "user", content: [{ type: "input_text", text: "Say hello." }] },
],
store: false,
stream: true,
})
}),
)
})
@@ -1,40 +0,0 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { Image } from "../../src"
import { OpenAI } from "../../src/providers"
import { recordedTests } from "../recorded-test"
const model = OpenAI.configure({
apiKey: process.env.OPENAI_API_KEY ?? "fixture",
image: {
providerOptions: {
quality: "low",
outputFormat: "jpeg",
outputCompression: 10,
},
},
}).image("gpt-image-1-mini")
const recorded = recordedTests({
prefix: "openai-images",
provider: "openai",
protocol: "openai-images",
requires: ["OPENAI_API_KEY"],
})
describe("OpenAI Images recorded", () => {
recorded.effect("generates an image", () =>
Effect.gen(function* () {
const response = yield* Image.generate({
model,
prompt: "A simple flat black circle centered on a plain white background.",
size: { width: 1024, height: 1024 },
})
expect(response.images).toHaveLength(1)
expect(response.image?.mediaType).toBe("image/jpeg")
expect(response.image?.data).toBeInstanceOf(Uint8Array)
expect(response.image?.data.length).toBeGreaterThan(0)
}),
)
})
@@ -1,66 +0,0 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { LLM, LLMEvent, Message } from "../../src"
import { OpenAI } from "../../src/providers"
import { recordedTests } from "../recorded-test"
const openai = OpenAI.configure({
apiKey: process.env.OPENAI_API_KEY ?? "fixture",
})
const recorded = recordedTests({
prefix: "openai-responses-images",
provider: "openai",
protocol: "openai-responses",
requires: ["OPENAI_API_KEY"],
})
describe("OpenAI Responses image generation recorded", () => {
recorded.effect("generates and edits an image with the hosted tool", () =>
Effect.gen(function* () {
const initial = Message.user("Generate a simple flat black triangle centered on a plain white background.")
const tools = [
OpenAI.imageGeneration({
action: "auto",
quality: "low",
size: "1024x1024",
outputFormat: "jpeg",
outputCompression: 10,
partialImages: 0,
}),
]
const response = yield* LLM.generate(
LLM.request({
model: openai.responses("gpt-5-mini"),
messages: [initial],
tools,
toolChoice: "image_generation",
}),
)
const result = response.events.find(LLMEvent.is.toolResult)
expect(result).toBeDefined()
expect(result?.providerExecuted).toBe(true)
expect(result?.result.type).toBe("content")
if (result?.result.type !== "content") return
expect(result.result.value).toHaveLength(1)
expect(result.result.value[0]?.type).toBe("file")
if (result.result.value[0]?.type !== "file") return
expect(result.result.value[0].mime).toBe("image/jpeg")
expect(result.result.value[0].uri.startsWith("data:image/jpeg;base64,")).toBe(true)
const edited = yield* LLM.generate(
LLM.request({
model: openai.responses("gpt-5-mini"),
messages: [initial, response.message, Message.user("Now make the triangle blue.")],
tools,
toolChoice: "image_generation",
}),
)
const editedResult = edited.events.find(LLMEvent.is.toolResult)
expect(editedResult?.result.type).toBe("content")
if (editedResult?.result.type !== "content") return
expect(editedResult.result.value[0]?.type).toBe("file")
}),
)
})
@@ -1,154 +0,0 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { LLM, Message } from "../../src"
import { LLMClient } from "../../src/route"
import * as OpenRouter from "../../src/providers/openrouter"
import { it } from "../lib/effect"
describe("OpenRouter", () => {
it.effect("prepares OpenRouter models through the OpenAI-compatible Chat route", () =>
Effect.gen(function* () {
const model = OpenRouter.configure({ apiKey: "test-key" }).model("openai/gpt-4o-mini")
expect(model).toMatchObject({
id: "openai/gpt-4o-mini",
provider: "openrouter",
route: { id: "openrouter" },
})
expect(model.route.endpoint.baseURL).toBe("https://openrouter.ai/api/v1")
const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Say hello." }))
expect(prepared.route).toBe("openrouter")
expect(prepared.body).toMatchObject({
model: "openai/gpt-4o-mini",
messages: [{ role: "user", content: "Say hello." }],
stream: true,
})
}),
)
it.effect("applies OpenRouter payload options from the model helper", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
model: OpenRouter.configure({
apiKey: "test-key",
providerOptions: {
openrouter: {
usage: true,
reasoning: { effort: "high" },
promptCacheKey: "session_123",
},
},
}).model("anthropic/claude-3.7-sonnet:thinking"),
prompt: "Think briefly.",
}),
)
expect(prepared.body).toMatchObject({
usage: { include: true },
reasoning: { effort: "high" },
prompt_cache_key: "session_123",
})
}),
)
it.effect("preserves manually supplied reasoning details", () =>
Effect.gen(function* () {
const details = [
{ type: "reasoning.text", text: "Think", format: "anthropic-claude-v1", index: 0 },
{ type: "reasoning.text", text: "ing", format: "anthropic-claude-v1", index: 0 },
{ type: "reasoning.text", signature: "signed", format: "anthropic-claude-v1", index: 0 },
{ type: "reasoning.encrypted", data: "opaque", format: "openai-responses-v1", index: 1 },
]
const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
messages: [
Message.assistant([
{
type: "reasoning",
text: "Thinking",
providerMetadata: { openai: { reasoningField: "reasoning", reasoningDetails: details } },
},
]),
],
}),
)
expect(prepared.body.messages).toEqual([
{
role: "assistant",
content: null,
reasoning: "Thinking",
reasoning_details: details,
},
])
}),
)
it.effect("preserves opaque and duplicate continuation details", () =>
Effect.gen(function* () {
const details = [
{ type: "reasoning.future", format: "provider-v2", state: { opaque: true } },
{ type: "reasoning.encrypted", id: "state", data: "opaque" },
{ type: "reasoning.encrypted", id: "state", data: "opaque" },
]
const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
messages: [
Message.assistant({
type: "reasoning",
text: "Thinking",
providerMetadata: { openai: { reasoningField: "reasoning", reasoningDetails: details } },
}),
],
}),
)
expect(prepared.body.messages).toEqual([
{ role: "assistant", content: null, reasoning: "Thinking", reasoning_details: details },
])
}),
)
it.effect("does not merge distinct adjacent reasoning text blocks", () =>
Effect.gen(function* () {
const details = [
{ type: "reasoning.text", id: "first", index: 0, text: "A", opaque: "first" },
{ type: "reasoning.text", id: "second", index: 1, text: "B", opaque: "second" },
]
const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
messages: [
Message.assistant({
type: "reasoning",
text: "AB",
providerMetadata: { openai: { reasoningField: "reasoning", reasoningDetails: details } },
}),
],
}),
)
expect(prepared.body.messages).toEqual([
{ role: "assistant", content: null, reasoning: "AB", reasoning_details: details },
])
}),
)
it.effect("omits scalar reasoning without continuation details", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
messages: [Message.assistant({ type: "reasoning", text: "Thinking" })],
}),
)
expect(prepared.body.messages).toEqual([{ role: "assistant", content: null }])
}),
)
})
-8
View File
@@ -1,8 +0,0 @@
{
"$schema": "https://json.schemastore.org/tsconfig",
"extends": "./tsconfig.json",
"compilerOptions": {
"allowImportingTsExtensions": false,
"noEmit": false
}
}
-12
View File
@@ -1,12 +0,0 @@
{
"$schema": "https://json.schemastore.org/tsconfig.json",
"extends": "@tsconfig/bun/tsconfig.json",
"compilerOptions": {
"rootDir": "src",
"outDir": "dist",
"declaration": true,
"lib": ["ESNext", "DOM", "DOM.Iterable"],
"noUncheckedIndexedAccess": false
},
"include": ["src"]
}
@@ -20,7 +20,7 @@ const profiles = [
{ name: "edit", tool: "edit", input: { filePath: "src/edit.ts" } },
{
name: "multi patch",
tool: "patch",
tool: "apply_patch",
input: { files: ["src/a.ts", "src/b.ts", "src/old.ts", "src/moved.ts"] },
},
] as const
@@ -25,7 +25,7 @@ test("adds patch files incrementally without resetting outer expansion", async (
userMessage(),
assistantMessage(
[
toolPart(patchID, "patch", "running", { files: [first.filePath] }, { metadata: { files: [first] } }),
toolPart(patchID, "apply_patch", "running", { files: [first.filePath] }, { metadata: { files: [first] } }),
textPart(followingID, "Following incremental patch"),
],
{ completed: false },
@@ -49,7 +49,7 @@ test("adds patch files incrementally without resetting outer expansion", async (
partUpdated(
toolPart(
patchID,
"patch",
"apply_patch",
"running",
{ files: [first.filePath, second.filePath] },
{ metadata: { files: [first, second] } },
@@ -61,7 +61,7 @@ test("adds patch files incrementally without resetting outer expansion", async (
partUpdated(
toolPart(
patchID,
"patch",
"apply_patch",
"completed",
{ files: [first.filePath, second.filePath, third.filePath] },
{ metadata: { files: [first, second, third] } },
@@ -136,9 +136,6 @@ export async function setupTimeline(
},
}),
)
if (settings.newLayoutDesigns === false) {
localStorage.setItem("app-version.v1", JSON.stringify({ version: "1.17.20" }))
}
}, input.settings ?? {})
if (input.locale) {
await page.addInitScript((locale) => {
@@ -48,40 +48,6 @@ test("does not reverse visible rows when the user wheels during shell remeasurem
await reportVisualStability(testInfo, "wheel-during-resize", trace, rowPairPlan(regions, 1))
})
test("keeps moving upward while drag-selecting above the timeline", async ({ page }) => {
await setupTimeline(page, {
messages: history(80),
viewport: { width: 1400, height: 700 },
reducedMotion: true,
})
const scroller = page.locator(".scroll-view__viewport", { has: page.locator("[data-timeline-row]") })
const text = page.getByText("History 79.", { exact: false })
await expect(text).toBeVisible()
await scroller.evaluate((element) => {
element.dataset.selectionLength = "0"
document.addEventListener("selectionchange", () => {
element.dataset.selectionLength = String(
Math.max(Number(element.dataset.selectionLength), window.getSelection()?.toString().length ?? 0),
)
})
})
const textBox = await text.boundingBox()
const scrollBox = await scroller.boundingBox()
expect(textBox).not.toBeNull()
expect(scrollBox).not.toBeNull()
if (!textBox || !scrollBox) return
await page.mouse.move(textBox.x + textBox.width - 10, textBox.y + textBox.height / 2)
await page.mouse.down()
await page.mouse.move(textBox.x + 20, scrollBox.y - 120, { steps: 30 })
await expect.poll(() => scroller.evaluate((element) => Number(element.dataset.selectionLength))).toBeGreaterThan(0)
await expect
.poll(() => scroller.evaluate((element) => element.scrollHeight - element.clientHeight - element.scrollTop))
.toBeGreaterThan(500)
await page.mouse.up()
})
test("does not pull a keyboard-scrolled user during shell remeasurement", async ({ page }, testInfo) => {
const shellID = "prt_keyboard_01_shell"
const followingID = "prt_keyboard_02_following"
@@ -33,9 +33,11 @@ test.describe("timeline tool state stability", () => {
}
const names = { webfetch: "webfetch", websearch: "websearch", task: "task", skill: "skill", custom: "mcp_probe" }
const questionID = "prt_state_question"
const todoID = "prt_state_todo"
const initial = [
...ids.map((id) => toolPart(`prt_state_${id}`, names[id], "pending", inputs[id])),
toolPart(questionID, "question", "pending", questionInput()),
toolPart(todoID, "todowrite", "pending", { todos: [{ content: "Hidden", status: "pending" }] }),
textPart("prt_state_following", "Following lightweight tools"),
]
const childID = "ses_timeline_child"
@@ -47,6 +49,7 @@ test.describe("timeline tool state stability", () => {
await timeline.send(status("busy"), 120)
for (const id of ids) await timeline.waitForPart(`prt_state_${id}`)
await expect(page.locator(`[data-timeline-part-id="${questionID}"]`)).toHaveCount(0)
await expect(page.locator(`[data-timeline-part-id="${todoID}"]`)).toHaveCount(0)
const regionIDs = [
"prt_state_webfetch",
@@ -102,6 +105,7 @@ test.describe("timeline tool state stability", () => {
]),
)
await expect(page.locator(`[data-timeline-part-id="${questionID}"]`)).toContainText("Keep it stable")
await expect(page.locator(`[data-timeline-part-id="${todoID}"]`)).toHaveCount(0)
await expect(
page.locator(`a[href$="/session/${childID}"]`, { has: page.locator('[data-component="task-tool-card"]') }),
).toBeVisible()
@@ -1,312 +0,0 @@
import type { Page } from "@playwright/test"
import { benchmark, expect } from "../benchmark"
import { setupTimelineBenchmark } from "./session-timeline-benchmark.fixture"
const changedLinesPerFile = 100
const linesPerSide = changedLinesPerFile / 2
const fileCounts = [1, 10, 100, 1_000, 10_000]
const filesPerDirectory = 100
const readyFrames = 3
const completionTimeoutMs = Number(process.env.REVIEW_PANE_COMPLETION_TIMEOUT_MS ?? 900_000)
type ReviewPaneScalingSample = {
observedAtMs: number
logicalRows: number
treeRows: number
fileRows: number
diffLines: number
header: string
ready: boolean
}
type ReviewPaneScalingProbe = {
startedAt?: number
firstTreeRowMs?: number
logicalTreeReadyMs?: number
firstDiffRenderMs?: number
stableReadyMs?: number
samples: ReviewPaneScalingSample[]
frameTimesMs: number[]
longTasks: { startTime: number; duration: number }[]
stop: () => void
}
benchmark.describe("performance: review pane scaling", () => {
for (const fileCount of fileCounts) {
const changedLines = fileCount * changedLinesPerFile
benchmark(
`${changedLines} changed lines across ${fileCount} ${fileCount === 1 ? "file" : "files"}`,
async ({ page, report }) => {
benchmark.setTimeout(1_200_000)
await page.emulateMedia({ reducedMotion: "reduce" })
const patchByteLimit = Number(process.env.REVIEW_PANE_PATCH_BYTE_LIMIT ?? Number.POSITIVE_INFINITY)
if (Number.isNaN(patchByteLimit) || patchByteLimit < 0)
throw new Error(`Invalid REVIEW_PANE_PATCH_BYTE_LIMIT: ${process.env.REVIEW_PANE_PATCH_BYTE_LIMIT}`)
const responseBody = JSON.stringify(createScalingDiffs(fileCount, patchByteLimit))
await setupTimelineBenchmark(page, {
historyTurns: 0,
eventBatch: 1,
newLayoutDesigns: true,
})
await page.route("**/vcs/diff**", (route) =>
route.fulfill({
status: 200,
contentType: "application/json",
headers: { "access-control-allow-origin": "*" },
body: responseBody,
}),
)
const expectedRows = fileCount + 2 + Math.ceil(fileCount / filesPerDirectory)
const metrics = await measureReviewPaneLoad(page, {
expectedFile: reviewFile(0),
expectedRows,
})
const search = await measureBroadReviewSearch(page, fileCount)
expect(metrics.logicalRows).toBe(expectedRows)
expect(metrics.fileRows).toBeGreaterThan(0)
expect(metrics.treeRows).toBeGreaterThan(0)
expect(metrics.diffLines).toBeGreaterThan(0)
expect(search.logicalRows).toBe(fileCount)
expect(search.renderedRows).toBeGreaterThan(0)
report(
{ ...metrics, search },
{
fileCount,
changedLinesPerFile,
changedLines,
additions: changedLines / 2,
deletions: changedLines / 2,
patchLines: changedLines,
patchByteLimit: Number.isFinite(patchByteLimit) ? patchByteLimit : null,
payloadBytes: new TextEncoder().encode(responseBody).byteLength,
expectedRows,
},
)
},
)
}
})
async function measureBroadReviewSearch(page: Page, expectedRows: number) {
const filter = page.getByRole("searchbox", { name: "Filter files" })
await filter.evaluate((element) => {
element.addEventListener(
"input",
() => {
;(window as Window & { __reviewSearchStartedAt?: number }).__reviewSearchStartedAt = performance.now()
},
{ once: true, capture: true },
)
})
await filter.fill("file-")
return page.evaluate((expectedRows) => {
const startedAt = (window as Window & { __reviewSearchStartedAt?: number }).__reviewSearchStartedAt!
return new Promise<{ stableMs: number; logicalRows: number; renderedRows: number }>((resolve) => {
let previous = -1
let streak = 0
const sample = () => {
const tree = document.querySelector<HTMLElement>('#review-panel [data-component="file-tree-v2"]')
const rows = [...document.querySelectorAll<HTMLElement>('#review-panel [data-slot="file-tree-v2-row"]')]
const logicalRows = Number(tree?.dataset.totalRows ?? rows.length)
const ready =
logicalRows === expectedRows && rows.length > 0 && rows.every((row) => row.textContent?.includes("file-"))
streak = ready && rows.length === previous ? streak + 1 : ready ? 1 : 0
previous = rows.length
if (streak >= 3) {
resolve({ stableMs: performance.now() - startedAt, logicalRows, renderedRows: rows.length })
return
}
requestAnimationFrame(sample)
}
requestAnimationFrame(sample)
})
}, expectedRows)
}
function createScalingDiffs(fileCount: number, patchByteLimit: number) {
const changes = Array.from({ length: linesPerSide }, (_, index) => {
const line = String(index).padStart(3, "0")
return `-export const value_${line} = "before"\n+export const value_${line} = "after"`
}).join("\n")
let patchBytes = 0
let capped = false
return Array.from({ length: fileCount }, (_, index) => {
const file = reviewFile(index)
const fullPatch = [
`diff --git a/${file} b/${file}`,
`--- a/${file}`,
`+++ b/${file}`,
`@@ -1,${linesPerSide} +1,${linesPerSide} @@`,
changes,
].join("\n")
if (index === 0 && fullPatch.length > patchByteLimit)
throw new Error(`REVIEW_PANE_PATCH_BYTE_LIMIT must include the active patch (${fullPatch.length} bytes)`)
const patch = !capped && patchBytes + fullPatch.length <= patchByteLimit ? fullPatch : emptyReviewPatch(file)
if (patch === fullPatch) patchBytes += fullPatch.length
else capped = true
return {
file,
patch,
additions: linesPerSide,
deletions: linesPerSide,
status: "modified" as const,
}
})
}
function emptyReviewPatch(file: string) {
return [`diff --git a/${file} b/${file}`, `--- a/${file}`, `+++ b/${file}`].join("\n")
}
function reviewFile(index: number) {
return `src/review/d${String(Math.floor(index / filesPerDirectory)).padStart(5, "0")}/file-${String(index).padStart(5, "0")}.ts`
}
async function measureReviewPaneLoad(page: Page, input: { expectedFile: string; expectedRows: number }) {
const toggle = page.getByRole("button", { name: "Toggle review" })
await expect(toggle).toBeVisible()
await toggle.evaluate((element) => element.setAttribute("data-review-pane-scaling-toggle", ""))
await installReviewPaneScalingProbe(page, input)
await toggle.click()
await page.waitForFunction(
() =>
(window as Window & { __reviewPaneScalingProbe?: ReviewPaneScalingProbe }).__reviewPaneScalingProbe
?.stableReadyMs !== undefined,
undefined,
{ timeout: completionTimeoutMs },
)
return page.evaluate(() => {
const probe = (window as Window & { __reviewPaneScalingProbe?: ReviewPaneScalingProbe }).__reviewPaneScalingProbe!
probe.stop()
const startedAt = probe.startedAt!
const final = probe.samples.at(-1)!
const resources = performance
.getEntriesByType("resource")
.filter((entry) => entry.name.includes("/vcs/diff")) as PerformanceResourceTiming[]
const resource = resources.at(-1)
const longTasks = probe.longTasks.filter(
(entry) => entry.startTime >= startedAt && entry.startTime <= startedAt + probe.stableReadyMs!,
)
const frameGaps = probe.frameTimesMs.map((time, index) => time - (probe.frameTimesMs[index - 1] ?? 0))
return {
firstTreeRowMs: probe.firstTreeRowMs ?? null,
logicalTreeReadyMs: probe.logicalTreeReadyMs ?? null,
firstDiffRenderMs: probe.firstDiffRenderMs ?? null,
stableReadyMs: probe.stableReadyMs ?? null,
responseStartMs: resource ? resource.responseStart - startedAt : null,
responseEndMs: resource ? resource.responseEnd - startedAt : null,
responseToStableMs: resource ? probe.stableReadyMs! - (resource.responseEnd - startedAt) : null,
treeRows: final.treeRows,
logicalRows: final.logicalRows,
fileRows: final.fileRows,
diffLines: final.diffLines,
samples: probe.samples.length,
maxFrameGapMs: Math.max(0, ...frameGaps),
longTaskCount: longTasks.length,
longTaskTotalMs: longTasks.reduce((sum, entry) => sum + entry.duration, 0),
maxLongTaskMs: Math.max(0, ...longTasks.map((entry) => entry.duration)),
}
})
}
async function installReviewPaneScalingProbe(page: Page, input: { expectedFile: string; expectedRows: number }) {
await page.evaluate(
({ expectedFile, expectedRows, stableFrames }) => {
let running = true
let readyStreak = 0
const basename = expectedFile.split("/").at(-1)!
const longTaskObserver = PerformanceObserver.supportedEntryTypes.includes("longtask")
? new PerformanceObserver((list) => {
probe.longTasks.push(
...list.getEntries().map((entry) => ({ startTime: entry.startTime, duration: entry.duration })),
)
})
: undefined
const probe: ReviewPaneScalingProbe = {
samples: [],
frameTimesMs: [],
longTasks: [],
stop: () => {
running = false
longTaskObserver?.disconnect()
},
}
const sample = (time: number) => {
if (!running || probe.startedAt === undefined) return
const panel = document.querySelector<HTMLElement>("#review-panel")
const tree = panel?.querySelector<HTMLElement>('[data-component="file-tree-v2"]')
const rows = panel?.querySelectorAll('[data-slot="file-tree-v2-row"]') ?? []
const fileRows = panel?.querySelectorAll('button[data-slot="file-tree-v2-row"]') ?? []
const header =
panel?.querySelector<HTMLElement>('[data-slot="session-review-v2-file-header"]')?.textContent?.trim() ?? ""
const viewers = panel
? [...panel.querySelectorAll<HTMLElement>('[data-component="file"][data-mode="diff"]')]
: []
const diffLines = viewers.reduce(
(sum, viewer) =>
sum + (viewer.querySelector("diffs-container")?.shadowRoot?.querySelectorAll("[data-line]").length ?? 0),
0,
)
const observedAtMs = time - probe.startedAt
const logicalRows = Number(tree?.dataset.totalRows ?? rows.length)
const ready =
logicalRows === expectedRows &&
fileRows.length > 0 &&
header.includes(basename) &&
viewers.length === 1 &&
diffLines > 0
const previous = probe.samples.at(-1)
const stable =
ready &&
previous?.ready === true &&
previous.logicalRows === logicalRows &&
previous.treeRows === rows.length &&
previous.fileRows === fileRows.length &&
previous.diffLines === diffLines &&
previous.header === header
probe.frameTimesMs.push(observedAtMs)
probe.samples.push({
observedAtMs,
logicalRows,
treeRows: rows.length,
fileRows: fileRows.length,
diffLines,
header,
ready,
})
if (probe.firstTreeRowMs === undefined && rows.length > 0) probe.firstTreeRowMs = observedAtMs
if (probe.logicalTreeReadyMs === undefined && logicalRows === expectedRows)
probe.logicalTreeReadyMs = observedAtMs
if (probe.firstDiffRenderMs === undefined && diffLines > 0) probe.firstDiffRenderMs = observedAtMs
readyStreak = !ready ? 0 : stable ? readyStreak + 1 : 1
if (readyStreak === stableFrames) probe.stableReadyMs = observedAtMs
if (probe.stableReadyMs === undefined) requestAnimationFrame(sample)
}
longTaskObserver?.observe({ type: "longtask", buffered: true })
document.addEventListener(
"click",
(event) => {
const toggle = event.target instanceof Element ? event.target.closest("button") : undefined
if (!toggle?.hasAttribute("data-review-pane-scaling-toggle")) return
probe.startedAt = performance.now()
performance.mark("opencode.review-pane-scaling.click")
requestAnimationFrame(sample)
},
{ capture: true, once: true },
)
;(window as Window & { __reviewPaneScalingProbe?: ReviewPaneScalingProbe }).__reviewPaneScalingProbe = probe
},
{ ...input, stableFrames: readyFrames },
)
}
@@ -1,151 +0,0 @@
import type { Page } from "@playwright/test"
import { expectSessionTitle } from "../../utils/waits"
import { mockOpenCodeServer } from "../../utils/mock-server"
import { benchmark, expect, withBenchmarkPage } from "../benchmark"
import { fixture } from "./session-timeline-stress.fixture"
import { installStressSessionTabs, stressSessionHref } from "./timeline-test-helpers"
import { measureSessionSwitch, waitForStableTimeline } from "./session-tab-switch-probe"
type ParentHydrationBenchmarkMode = "natural" | "candidate"
const mode = process.env.SESSION_PARENT_HYDRATION_BENCHMARK_MODE ?? "natural"
if (mode !== "natural" && mode !== "candidate") throw new Error(`Unknown parent hydration benchmark mode: ${mode}`)
const userID = "msg_parent_hydration_user"
const user = {
...fixture.messages[fixture.targetID][0]!,
info: { ...fixture.messages[fixture.targetID][0]!.info, id: userID, time: { created: 1700001000000 } },
parts: fixture.messages[fixture.targetID][0]!.parts.map((part, index) => ({
...part,
id: `prt_parent_hydration_user_${index}`,
messageID: userID,
})),
}
const assistantSeed = fixture.messages[fixture.targetID][3]!
const assistants = Array.from({ length: 14 }, (_, index) => {
const messageID = `msg_parent_hydration_${String(index).padStart(2, "0")}`
return {
...assistantSeed,
info: {
...assistantSeed.info,
id: messageID,
parentID: userID,
time: { created: 1700001001000 + index * 1_000, completed: 1700001001500 + index * 1_000 },
},
parts: assistantSeed.parts.map((part, partIndex) => ({
...part,
id: `prt_parent_hydration_${String(index).padStart(2, "0")}_${partIndex}`,
messageID,
})),
}
})
const messages = [user, ...assistants]
const target = fixture.sessions.find((session) => session.id === fixture.targetID)!
const lastID = userID
const lastPartID = assistants.at(-1)!.parts.at(-1)!.id
benchmark("hydrates an orphaned latest turn after a cold session click", async ({ browser, report }, testInfo) => {
benchmark.setTimeout(180_000)
const results = [] as Awaited<ReturnType<typeof trial>>[]
for (let run = 0; run < 5; run++) {
results.push(
await withBenchmarkPage(
browser,
`session-parent-hydration-${mode}-${run}`,
(page) => trial(page, mode),
testInfo,
),
)
}
const timing = results.map((result) => result.metrics.firstCorrectObservedMs!).sort((a, b) => a - b)
report(
{
results: results.map((result) => ({ ...result.metrics, historyGateCount: result.historyGateCount })),
summary: {
firstCorrectObservedMs: { min: timing[0], median: timing[2], max: timing.at(-1) },
blankSamples: results.map((result) => result.metrics.blankSamples),
requestCounts: {
list: results.map((result) => result.requestCounts.list),
parent: results.map((result) => result.requestCounts.parent),
},
historyGateCount: results.map((result) => result.historyGateCount),
},
},
{ mode },
)
})
async function trial(page: Page, mode: ParentHydrationBenchmarkMode) {
const requests: { type: "list" | "parent"; before?: string }[] = []
const history = mode === "candidate" ? Promise.withResolvers<void>() : undefined
let historyGates = 0
await mockOpenCodeServer(page, {
sessions: fixture.sessions.filter((session) => session.id === fixture.sourceID),
provider: fixture.provider,
directory: fixture.directory,
project: fixture.project,
messageDelay: 50,
onMessages: (request) => {
if (request.sessionID === fixture.targetID && request.phase === "start")
requests.push({ type: "list", before: request.before })
},
beforeMessagesResponse: (request) => {
if (mode !== "candidate" || request.sessionID !== fixture.targetID || !request.before) return Promise.resolve()
historyGates++
return history!.promise
},
onMessage: (request) => {
if (request.sessionID === fixture.targetID && request.messageID === userID) requests.push({ type: "parent" })
},
message: (sessionID, messageID) => {
if (sessionID !== fixture.targetID || messageID !== userID) return
return user
},
pageMessages: (sessionID, limit, before) => {
const items = sessionID === fixture.targetID ? messages : fixture.messages[fixture.sourceID]
const end = before ? items.findIndex((message) => message.info.id === before) : items.length
const start = Math.max(0, end - limit)
return { items: items.slice(start, end), cursor: start > 0 ? items[start]!.info.id : undefined }
},
})
await page.route(`**/session/${fixture.targetID}`, (route) =>
route.fulfill({ status: 200, contentType: "application/json", body: JSON.stringify(target) }),
)
await installStressSessionTabs(page, { sessionIDs: [fixture.sourceID] })
await page.goto(stressSessionHref(fixture.sourceID))
await expectSessionTitle(page, fixture.expected.sourceTitle)
await waitForStableTimeline(page, fixture.expected.sourceMessageIDs.at(-1)!)
const href = stressSessionHref(fixture.targetID)
await page.evaluate(
({ href, title }) => {
const link = document.createElement("a")
link.id = "parent-hydration-target"
link.href = href
link.textContent = title
document.body.append(link)
},
{ href, title: target.title },
)
const metrics = await measureSessionSwitch(page, {
destinationIDs: messages.map((message) => message.info.id),
sourceIDs: fixture.messages[fixture.sourceID].map((message) => message.info.id),
lastID,
requiredPartID: lastPartID,
requireBottomAnchor: false,
href,
switch: async () => {
await page.locator("#parent-hydration-target").click()
await expectSessionTitle(page, target.title)
},
}).finally(() => history?.resolve())
expect(metrics.firstCorrectObservedMs).not.toBeNull()
const requestCounts = {
list: requests.filter((request) => request.type === "list").length,
parent: requests.filter((request) => request.type === "parent").length,
}
if (mode === "candidate") {
expect(requestCounts.parent).toBe(1)
expect(historyGates).toBe(1)
}
return { metrics, requestCounts, historyGateCount: historyGates }
}
@@ -4,8 +4,6 @@ export type SessionSwitchSample = {
source: string[]
hasVisibleRows: boolean
last: boolean
requiredPartVisible?: boolean
bottomAnchorRequired?: boolean
bottomErrorPx?: number
review?: {
fileHost: boolean
@@ -43,8 +41,7 @@ export function isCorrectDestination(sample: SessionSwitchSample) {
sample.destination.length > 0 &&
sample.source.length === 0 &&
sample.last &&
sample.requiredPartVisible !== false &&
(sample.bottomAnchorRequired === false || Math.abs(sample.bottomErrorPx ?? Infinity) <= 1)
Math.abs(sample.bottomErrorPx ?? Infinity) <= 1
)
}
@@ -8,16 +8,9 @@ type SessionSwitchProbe = {
async function installSessionSwitchProbe(
page: Page,
input: {
destinationIDs: string[]
sourceIDs: string[]
lastID: string
requiredPartID?: string
requireBottomAnchor?: boolean
href: string
},
input: { destinationIDs: string[]; sourceIDs: string[]; lastID: string; href: string },
) {
await page.evaluate(({ destinationIDs, sourceIDs, lastID, requiredPartID, requireBottomAnchor, href }) => {
await page.evaluate(({ destinationIDs, sourceIDs, lastID, href }) => {
const destination = new Set(destinationIDs)
const source = new Set(sourceIDs)
const samples: SessionSwitchSample[] = []
@@ -73,13 +66,6 @@ async function installSessionSwitchProbe(
const rect = element.getBoundingClientRect()
return rect.bottom > view.top && rect.top < view.bottom
})
const requiredPartVisible = requiredPartID
? [...root.querySelectorAll<HTMLElement>("[data-timeline-part-id]")].some((element) => {
if (element.dataset.timelinePartId !== requiredPartID) return false
const rect = element.getBoundingClientRect()
return rect.width > 0 && rect.height > 0 && rect.bottom > view.top && rect.top < view.bottom
})
: undefined
const spacer = root.querySelector<HTMLElement>('[data-timeline-row="bottom-spacer"]')?.getBoundingClientRect()
samples.push({
observedAtMs,
@@ -87,22 +73,11 @@ async function installSessionSwitchProbe(
source: visible.filter((id) => source.has(id)),
hasVisibleRows,
last: visible.includes(lastID),
requiredPartVisible,
bottomAnchorRequired: requireBottomAnchor !== false,
bottomErrorPx: spacer ? spacer.bottom - view.bottom : undefined,
review,
})
} else {
samples.push({
observedAtMs,
destination: [],
source: [],
hasVisibleRows: false,
last: false,
requiredPartVisible: requiredPartID ? false : undefined,
bottomAnchorRequired: requireBottomAnchor !== false,
review,
})
samples.push({ observedAtMs, destination: [], source: [], hasVisibleRows: false, last: false, review })
}
requestAnimationFrame(sample)
}, 0)
@@ -142,8 +117,7 @@ async function waitForStableSessionSwitch(page: Page) {
sample.destination.length > 0 &&
sample.source.length === 0 &&
sample.last &&
sample.requiredPartVisible !== false &&
(sample.bottomAnchorRequired === false || Math.abs(sample.bottomErrorPx ?? Infinity) <= 1),
Math.abs(sample.bottomErrorPx ?? Infinity) <= 1,
)
)
})
@@ -161,27 +135,13 @@ async function collectSessionSwitchResult(page: Page) {
export async function measureSessionSwitch(
page: Page,
input: {
destinationIDs: string[]
sourceIDs: string[]
lastID: string
requiredPartID?: string
requireBottomAnchor?: boolean
href: string
switch: () => Promise<void>
},
input: { destinationIDs: string[]; sourceIDs: string[]; lastID: string; href: string; switch: () => Promise<void> },
) {
const { switch: run, ...probe } = input
await installSessionSwitchProbe(page, probe)
try {
await run()
await waitForStableSessionSwitch(page)
return await collectSessionSwitchResult(page)
} finally {
await page.evaluate(() => {
;(window as Window & { __sessionSwitchProbe?: SessionSwitchProbe }).__sessionSwitchProbe?.stop()
})
}
await run()
await waitForStableSessionSwitch(page)
return collectSessionSwitchResult(page)
}
export async function waitForStableTimeline(page: Page, lastID: string) {
@@ -295,7 +295,7 @@ function performanceTurn(index: number) {
messageID: assistantID,
type: "tool",
callID: `call_0000_${suffix}_patch`,
tool: "patch",
tool: "apply_patch",
state: {
status: "completed",
input: { patchText: realisticPatch(index) },
@@ -131,7 +131,7 @@ function toolPart(
): MessagePart {
const metadata =
metadataOverride ??
(tool === "patch"
(tool === "apply_patch"
? { files: [patchFile(index, "update"), patchFile(index + 1, index % 2 === 0 ? "add" : "delete")] }
: tool === "edit" || tool === "write"
? {
@@ -219,7 +219,7 @@ function turn(index: number): Message[] {
? [toolPart(index, 7, "write", { filePath: `src/generated/write-${index}.ts`, content: code(index, 28) }, 560)]
: []),
...(index % 8 === 0
? [toolPart(index, 8, "patch", { files: [`src/generated/patch-${index}.ts`] }, 620)]
? [toolPart(index, 8, "apply_patch", { files: [`src/generated/patch-${index}.ts`] }, 620)]
: []),
...(index % 7 === 0
? [toolPart(index, 4, "bash", { command: "bun typecheck", description: "Verify generated output" }, 620)]
@@ -269,6 +269,7 @@ const childMessages = Array.from({ length: 4 }, (_, index) => [
]).flat()
function renderable(part: MessagePart) {
if (part.type === "tool" && part.tool === "todowrite") return false
if (part.type === "text") return !!part.text.trim()
if (part.type === "reasoning") return !!part.text.trim()
return part.type !== "step-start" && part.type !== "step-finish" && part.type !== "patch"
@@ -1,46 +0,0 @@
import { expect, test } from "bun:test"
import type { Page, Route } from "@playwright/test"
import { mockOpenCodeServer } from "../../utils/mock-server"
test("applies message latency after a list response gate is released", async () => {
const events: string[] = []
const gate = Promise.withResolvers<void>()
let handler: ((route: Route) => Promise<void>) | undefined
const page = {
route: (_url: string, callback: (route: Route) => Promise<void>) => {
handler = callback
return Promise.resolve()
},
} as unknown as Page
await mockOpenCodeServer(page, {
provider: {},
directory: "C:/OpenCode",
project: {},
sessions: [{ id: "session" }],
messageDelay: 25,
beforeMessagesResponse: () => {
events.push("before")
return gate.promise
},
onMessages: (request) => events.push(request.phase),
pageMessages: () => {
events.push("page")
return { items: [] }
},
})
const response = handler!({
request: () => ({ url: () => "http://127.0.0.1:4096/session/session/message" }),
fulfill: () => {
events.push("fulfill")
return Promise.resolve()
},
} as unknown as Route)
expect(events).toEqual(["start", "before"])
const released = performance.now()
gate.resolve()
await response
expect(performance.now() - released).toBeGreaterThanOrEqual(20)
expect(events).toEqual(["start", "before", "page", "end", "fulfill"])
})
@@ -52,35 +52,3 @@ test("reports missing correctness without throwing", () => {
expect(result.firstCorrectObservedMs).toBeNull()
expect(result.stableObservedMs).toBeNull()
})
test("requires an explicitly tracked part to be visible", () => {
const result = classifySessionSwitch([
{
observedAtMs: 16,
destination: ["destination"],
source: [],
hasVisibleRows: true,
last: true,
requiredPartVisible: false,
bottomErrorPx: 0,
},
])
expect(result.firstCorrectObservedMs).toBeNull()
})
test("can measure content correctness without requiring a bottom anchor", () => {
const result = classifySessionSwitch([
{
observedAtMs: 16,
destination: ["destination"],
source: [],
hasVisibleRows: true,
last: true,
requiredPartVisible: true,
bottomAnchorRequired: false,
},
])
expect(result.firstCorrectObservedMs).toBe(16)
})
@@ -1,55 +0,0 @@
import { expect, test } from "bun:test"
import type { Page } from "@playwright/test"
import { measureSessionSwitch } from "../timeline/session-tab-switch-probe"
function testPage(waitFailure?: Error) {
const stops: unknown[] = []
const page = {
evaluate: async (_callback: unknown, input?: unknown) => {
if (input) return
stops.push(undefined)
},
waitForFunction: async () => {
if (waitFailure) throw waitFailure
},
} as unknown as Page
return { page, stops }
}
function input(run: () => Promise<void>) {
return {
destinationIDs: ["destination"],
sourceIDs: ["source"],
lastID: "destination",
href: "/session/destination",
switch: run,
}
}
test("stops sampling when the session switch fails", async () => {
const failure = new Error("switch failed")
const context = testPage()
await expect(
measureSessionSwitch(
context.page,
input(async () => Promise.reject(failure)),
),
).rejects.toBe(failure)
expect(context.stops).toHaveLength(1)
})
test("stops sampling when the stable wait fails", async () => {
const failure = new Error("stable wait failed")
const context = testPage(failure)
await expect(
measureSessionSwitch(
context.page,
input(async () => {}),
),
).rejects.toBe(failure)
expect(context.stops).toHaveLength(1)
})
@@ -90,7 +90,7 @@ async function mockServers(page: Page, requests: string[]) {
if (url.pathname === `/session/${current.id}`) return json(route, current)
if (/^\/session\/[^/]+$/.test(url.pathname)) return json(route, { name: "NotFoundError" }, 404)
if (url.pathname === `/session/${current.id}/message`) return json(route, [])
if (/^\/session\/[^/]+\/(children|diff)$/.test(url.pathname)) return json(route, [])
if (/^\/session\/[^/]+\/(children|todo|diff)$/.test(url.pathname)) return json(route, [])
if (["/skill", "/command", "/lsp", "/formatter", "/permission", "/question", "/vcs/diff"].includes(url.pathname))
return json(route, [])
if (["/global/config", "/config", "/provider/auth", "/mcp", "/session/status"].includes(url.pathname))
@@ -1,150 +0,0 @@
import { base64Encode } from "@opencode-ai/core/util/encode"
import { expect, test, type Page } from "@playwright/test"
import { mockOpenCodeServer } from "../utils/mock-server"
import { expectSessionTitle } from "../utils/waits"
const directory = "C:/OpenCode/FileBrowserSidebar"
const projectID = "proj_file_browser_sidebar"
const sessionID = "ses_file_browser_sidebar"
const title = "File browser sidebar"
const server = `http://${process.env.PLAYWRIGHT_SERVER_HOST ?? "127.0.0.1"}:${process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"}`
const files = Array.from({ length: 80 }, (_, index) => `file-${String(index).padStart(2, "0")}.ts`)
// Marks the file-browser sidebar DOM node so a remount (fresh node) is detectable.
const PROBE = "original"
test.use({ viewport: { width: 1440, height: 900 } })
// The file-browser sidebar must stay mounted across preview/pinned file-tab
// switches. Remounting resets scroll and filter state.
test("keeps the file-browser sidebar mounted when switching file tabs", async ({ page }) => {
await setup(page)
await page.goto(`/server/${base64Encode(server)}/session/${sessionID}`)
await expectSessionTitle(page, title)
const panel = page.locator("#review-panel")
await panel.getByRole("button", { name: "Open file" }).click()
await expect(panel.getByRole("tab", { name: "Open file" })).toHaveAttribute("data-selected", "")
const sidebar = panel.locator('[data-component="session-review-v2-sidebar-root"]')
await expect(sidebar).toBeVisible()
await expect(panel.getByRole("button", { name: "file-00.ts" })).toBeVisible()
await panel.getByRole("button", { name: "file-00.ts" }).click()
await expect(panel.getByRole("tab", { name: "file-00.ts" })).toHaveAttribute("data-selected", "")
await expect(panel.getByText("contents:file-00.ts", { exact: true })).toBeVisible()
const viewport = panel.locator('[data-slot="session-review-v2-sidebar-tree"] .scroll-view__viewport')
await viewport.hover()
await page.mouse.wheel(0, 100_000)
await expect
.poll(() => viewport.evaluate((element) => element.scrollHeight - element.clientHeight - element.scrollTop))
.toBeLessThanOrEqual(1)
const scrolled = await viewport.evaluate((element) => element.scrollTop)
expect(scrolled).toBeGreaterThan(0)
await writeProbe(page)
await panel.getByRole("button", { name: "file-79.ts" }).click()
await expect(panel.getByRole("tab", { name: "file-79.ts" })).toHaveAttribute("data-selected", "")
await expect(panel.getByText("contents:file-79.ts", { exact: true })).toBeVisible()
expect(await readProbe(page)).toBe(PROBE)
await expect.poll(() => viewport.evaluate((element) => element.scrollTop)).toBe(scrolled)
await panel.getByRole("button", { name: "file-78.ts" }).dblclick()
await expect(panel.getByRole("tab", { name: "file-78.ts" })).toHaveAttribute("data-selected", "")
await panel.getByRole("button", { name: "file-79.ts" }).click()
await expect(panel.getByRole("tab", { name: "file-79.ts" })).toHaveAttribute("data-selected", "")
await panel.getByRole("tab", { name: "file-78.ts" }).click()
await expect(panel.getByRole("tab", { name: "file-78.ts" })).toHaveAttribute("data-selected", "")
expect(await readProbe(page)).toBe(PROBE)
await expect.poll(() => viewport.evaluate((element) => element.scrollTop)).toBe(scrolled)
})
type Probed = HTMLElement & { __e2eProbe?: string }
async function writeProbe(page: Page) {
await page.locator('#review-panel [data-component="session-review-v2-sidebar-root"]').evaluate((el, probe) => {
;(el as Probed).__e2eProbe = probe
}, PROBE)
}
async function readProbe(page: Page) {
return page
.locator('#review-panel [data-component="session-review-v2-sidebar-root"]')
.evaluate((el) => (el as Probed).__e2eProbe)
}
async function setup(page: Page) {
await mockOpenCodeServer(page, {
directory,
project: {
id: projectID,
worktree: directory,
vcs: "git",
name: "file-browser-sidebar",
time: { created: 1700000000000, updated: 1700000000000 },
sandboxes: [],
},
provider: {
all: [
{
id: "opencode",
name: "OpenCode",
models: { test: { id: "test", name: "Test", limit: { context: 200_000 } } },
},
],
connected: ["opencode"],
default: { providerID: "opencode", modelID: "test" },
},
sessions: [
{
id: sessionID,
slug: sessionID,
projectID,
directory,
title,
version: "dev",
time: { created: 1700000000000, updated: 1700000000000 },
},
],
vcsDiff: [],
fileList: (path) => {
if (path) return []
return files.map((name) => ({
name,
path: name,
absolute: `${directory}/${name}`,
type: "file" as const,
ignored: false,
}))
},
fileContent: (path) => ({ type: "text", content: `contents:${path}` }),
pageMessages: () => ({ items: [] }),
})
await page.addInitScript(
({ directory, server, sessionID }) => {
localStorage.setItem("settings.v3", JSON.stringify({ general: { newLayoutDesigns: true } }))
localStorage.setItem(
"opencode.global.dat:server",
JSON.stringify({
projects: { local: [{ worktree: directory, expanded: true }] },
lastProject: { local: directory },
}),
)
localStorage.setItem(
"opencode.global.dat:layout",
JSON.stringify({ review: { diffStyle: "split", panelOpened: true } }),
)
localStorage.setItem(
"opencode.global.dat:review-panel-v2",
JSON.stringify({ sidebarOpened: true, sidebarWidth: 240, expandMode: "collapse" }),
)
localStorage.setItem(
"opencode.window.browser.dat:tabs",
JSON.stringify([{ type: "session", server, sessionId: sessionID }]),
)
},
{ directory, server, sessionID },
)
}
@@ -1,41 +0,0 @@
import { expect, test } from "@playwright/test"
import { base64Encode } from "@opencode-ai/core/util/encode"
import { mockOpenCodeServer } from "../utils/mock-server"
const draftID = "draft_legacy_new_session"
const directory = "C:/OpenCode/LegacyNewSession"
const server = `http://${process.env.PLAYWRIGHT_SERVER_HOST ?? "127.0.0.1"}:${process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"}`
test("redirects a draft to the legacy new-session route", async ({ page }) => {
await mockOpenCodeServer(page, {
directory,
project: {
id: "proj_legacy_new_session",
worktree: directory,
vcs: "git",
name: "legacy-new-session",
time: { created: 1700000000000, updated: 1700000000000 },
sandboxes: [],
},
provider: { all: [], connected: [], default: {} },
sessions: [],
pageMessages: () => ({ items: [] }),
})
await page.addInitScript(
({ directory, draftID, server }) => {
localStorage.setItem("settings.v3", JSON.stringify({ general: { newLayoutDesigns: false } }))
localStorage.setItem("app-version.v1", JSON.stringify({ version: "1.17.20" }))
localStorage.setItem(
"opencode.window.browser.dat:tabs",
JSON.stringify([{ type: "draft", draftID, server, directory }]),
)
},
{ directory, draftID, server },
)
await page.goto(`/new-session?draftId=${draftID}`)
await expect(page).toHaveURL(`/${base64Encode(directory)}/session`)
await expect(page.locator("header[data-tauri-drag-region]")).toBeVisible()
await expect(page.locator('[data-component="prompt-input"]')).toBeVisible()
})
@@ -1,83 +0,0 @@
import { expect, test } from "@playwright/test"
import { mockOpenCodeServer } from "../utils/mock-server"
import { expectAppVisible } from "../utils/waits"
const draftID = "draft_new_session_panel_corner"
const directory = "C:/OpenCode/NewSessionPanelCorner"
const server = `http://${process.env.PLAYWRIGHT_SERVER_HOST ?? "127.0.0.1"}:${process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"}`
test.use({
viewport: { width: 935, height: 522 },
deviceScaleFactor: 1,
})
test("matches the rounded panel corners to the dark new-session background", async ({ page }, testInfo) => {
await mockOpenCodeServer(page, {
directory,
project: {
id: "proj_new_session_panel_corner",
worktree: directory,
vcs: "git",
name: "new-session-panel-corner",
time: { created: 1700000000000, updated: 1700000000000 },
sandboxes: [],
},
provider: { all: [], connected: [], default: {} },
sessions: [],
pageMessages: () => ({ items: [] }),
})
await page.addInitScript(
({ directory, draftID, server }) => {
localStorage.setItem("settings.v3", JSON.stringify({ general: { newLayoutDesigns: true } }))
localStorage.setItem("opencode-theme-id", "oc-2")
localStorage.setItem("opencode-color-scheme", "dark")
localStorage.setItem(
"opencode.global.dat:server",
JSON.stringify({
projects: { local: [{ worktree: directory, expanded: true }] },
lastProject: { local: directory },
}),
)
localStorage.setItem(
"opencode.window.browser.dat:tabs",
JSON.stringify([{ type: "draft", draftID, server, directory }]),
)
},
{ directory, draftID, server },
)
await page.goto(`/new-session?draftId=${draftID}`)
await expectAppVisible(page.locator('[data-component="prompt-input"]'))
await expect(page.locator("html")).toHaveAttribute("data-color-scheme", "dark")
const panel = page.locator('main div[class*="rounded-[10px]"][class*="overflow-hidden"]')
await expect(panel).toHaveCount(1)
const box = await panel.boundingBox()
if (!box) throw new Error("New-session panel bounds are unavailable")
const screenshot = await page.screenshot({ path: testInfo.outputPath("new-session-dark.png") })
const corners = await page.evaluate(
async ({ source, points }) => {
const image = new Image()
image.src = source
await image.decode()
const canvas = document.createElement("canvas")
canvas.width = image.naturalWidth
canvas.height = image.naturalHeight
const context = canvas.getContext("2d")
if (!context) throw new Error("2D canvas is unavailable")
context.drawImage(image, 0, 0)
return points.map((point) => Array.from(context.getImageData(point.x, point.y, 1, 1).data))
},
{
source: `data:image/png;base64,${screenshot.toString("base64")}`,
points: [
{ x: Math.floor(box.x), y: Math.floor(box.y) },
{ x: Math.ceil(box.x + box.width) - 1, y: Math.floor(box.y) },
{ x: Math.floor(box.x), y: Math.ceil(box.y + box.height) - 1 },
{ x: Math.ceil(box.x + box.width) - 1, y: Math.ceil(box.y + box.height) - 1 },
],
},
)
expect(corners.every(([red, green, blue, alpha]) => red <= 8 && green <= 8 && blue <= 8 && alpha === 255)).toBe(true)
})
@@ -1,270 +0,0 @@
import { base64Encode } from "@opencode-ai/core/util/encode"
import { expect, test, type Page, type Route } from "@playwright/test"
import { installSseTransport } from "../utils/sse-transport"
const serverA = "http://127.0.0.1:4096"
const serverB = "http://127.0.0.1:4097"
const directoryA = "C:/server-a"
const directoryB = "/home/server-b"
const sessionA = session("ses_server_a", directoryA, "Server A session")
const childSessionA = { ...session("ses_server_a_child", directoryA, "Server A child session"), parentID: sessionA.id }
const sessionB = session("ses_server_b", directoryB, "Server B session")
test("session settings use the remote server context", async ({ page }) => {
const permissionRequests: string[] = []
await mockServers(page, permissionRequests)
await configureServers(page)
await page.goto(`/server/${base64Encode(serverB)}/session/${sessionB.id}`)
await expect(page.getByText(sessionB.title).first()).toBeVisible()
await page.keyboard.press(process.platform === "darwin" ? "Meta+," : "Control+,")
const dialog = page.locator(".settings-v2-dialog")
const autoAccept = dialog.locator('[data-action="settings-auto-accept-permissions"]')
const input = autoAccept.getByRole("switch")
await expect(autoAccept).toBeVisible()
await expect(input).toBeEnabled()
permissionRequests.length = 0
await autoAccept.locator('[data-slot="switch-control"]').click()
await expect(input).toBeChecked()
await expect
.poll(() =>
permissionRequests.some((request) => {
const url = new URL(request)
return url.origin === serverB && url.searchParams.get("directory") === directoryB
}),
)
.toBe(true)
expect(permissionRequests.every((request) => new URL(request).origin === serverB)).toBe(true)
await dialog.getByRole("tab", { name: "Models" }).click()
await expect(dialog.getByRole("switch", { name: "Server B Model" })).toBeEnabled()
await expect(dialog.getByRole("switch", { name: "Server A Model" })).toHaveCount(0)
})
test("auto-accept responds for an unfocused server session", async ({ page }) => {
const permissionRequests: string[] = []
const permissionResponses: PermissionResponse[] = []
const transport = await installSseTransport<{ directory: string; payload: Record<string, unknown> }>(page, {
server: serverA,
retry: 20,
})
await mockServers(page, permissionRequests, permissionResponses)
await configureServers(page, [
{ type: "session", server: serverA, sessionId: sessionA.id },
{ type: "session", server: serverB, sessionId: sessionB.id },
])
const hrefB = `/server/${base64Encode(serverB)}/session/${sessionB.id}`
await page.goto(`/server/${base64Encode(serverA)}/session/${sessionA.id}`)
await expect(page.getByText(sessionA.title).first()).toBeVisible()
await page.keyboard.press(process.platform === "darwin" ? "Meta+," : "Control+,")
const autoAccept = page.locator(".settings-v2-dialog").locator('[data-action="settings-auto-accept-permissions"]')
await autoAccept.locator('[data-slot="switch-control"]').click()
await expect(autoAccept.getByRole("switch")).toBeChecked()
await expect
.poll(() =>
permissionRequests.some((request) => {
const url = new URL(request)
return url.origin === serverA && url.searchParams.get("directory") === directoryA
}),
)
.toBe(true)
await page.keyboard.press("Escape")
await page.locator(`[data-titlebar-tab-slot]:has(a[href="${hrefB}"])`).click()
await expect(page).toHaveURL(new RegExp(`${hrefB.replace(/[.*+?^${}()|[\]\\]/g, "\\$&")}$`))
await expect(page.getByText(sessionB.title).first()).toBeVisible()
await transport.waitForConnection()
await transport.send({
directory: directoryA,
payload: {
id: "event-permission-background-a",
type: "permission.asked",
properties: {
id: "permission-background-a",
sessionID: sessionA.id,
permission: "bash",
patterns: ["git status"],
metadata: {},
always: [],
},
},
})
await expect
.poll(() => permissionResponses)
.toEqual([
{
origin: serverA,
directory: directoryA,
sessionID: sessionA.id,
permissionID: "permission-background-a",
body: { response: "once" },
},
])
await transport.send({
directory: directoryA,
payload: {
id: "event-permission-background-a-child",
type: "permission.asked",
properties: {
id: "permission-background-a-child",
sessionID: childSessionA.id,
permission: "bash",
patterns: ["git diff"],
metadata: {},
always: [],
},
},
})
await expect
.poll(() => permissionResponses)
.toEqual([
{
origin: serverA,
directory: directoryA,
sessionID: sessionA.id,
permissionID: "permission-background-a",
body: { response: "once" },
},
{
origin: serverA,
directory: directoryA,
sessionID: childSessionA.id,
permissionID: "permission-background-a-child",
body: { response: "once" },
},
])
})
type PermissionResponse = {
origin: string
directory?: string
sessionID: string
permissionID: string
body: unknown
}
async function configureServers(page: Page, tabs: { type: "session"; server: string; sessionId: string }[] = []) {
await page.addInitScript(
({ serverB, tabs }) => {
localStorage.setItem("settings.v3", JSON.stringify({ general: { newLayoutDesigns: true } }))
localStorage.setItem("opencode.global.dat:server", JSON.stringify({ list: [serverB] }))
localStorage.setItem("opencode.window.browser.dat:tabs", JSON.stringify(tabs))
},
{ serverB, tabs },
)
}
async function mockServers(page: Page, permissionRequests: string[], permissionResponses: PermissionResponse[] = []) {
await page.route("**/*", async (route) => {
const url = new URL(route.request().url())
if (url.origin !== serverA && url.origin !== serverB) return route.fallback()
const remote = url.origin === serverB
const directory = remote ? directoryB : directoryA
const sessions = remote ? [sessionB] : [sessionA, childSessionA]
const requestDirectory = url.searchParams.get("directory")
const response = url.pathname.match(/^\/session\/([^/]+)\/permissions\/([^/]+)$/)
if (route.request().method() === "POST" && response) {
permissionResponses.push({
origin: url.origin,
directory: requestDirectory ?? undefined,
sessionID: response[1]!,
permissionID: response[2]!,
body: route.request().postDataJSON(),
})
return json(route, true)
}
if (requestDirectory && requestDirectory !== directory) return json(route, { name: "InvalidDirectory" }, 500)
if (url.pathname === "/global/event" || url.pathname === "/event") return sse(route)
if (url.pathname === "/global/health") return json(route, { healthy: true })
if (url.pathname === "/session/status") return json(route, {})
if (url.pathname === "/session") return json(route, sessions)
const current = sessions.find((session) => url.pathname === `/session/${session.id}`)
if (current) return json(route, current)
if (/^\/session\/[^/]+$/.test(url.pathname)) return json(route, { name: "NotFoundError" }, 404)
if (/^\/session\/[^/]+\/message$/.test(url.pathname)) return json(route, [])
if (/^\/session\/[^/]+\/(children|todo|diff)$/.test(url.pathname)) return json(route, [])
if (url.pathname === "/permission") {
permissionRequests.push(url.toString())
return json(route, [])
}
if (["/skill", "/command", "/lsp", "/formatter", "/question", "/vcs/diff", "/pty/shells"].includes(url.pathname))
return json(route, [])
if (["/global/config", "/config", "/provider/auth", "/mcp"].includes(url.pathname)) return json(route, {})
if (url.pathname === "/provider") return json(route, provider(remote ? "server-b" : "server-a"))
if (url.pathname === "/agent") return json(route, [{ name: "build", mode: "primary" }])
if (url.pathname === "/project" || url.pathname === "/project/current") {
const project = {
id: remote ? sessionB.projectID : "project-server-a",
worktree: directory,
vcs: "git",
time: { created: 1, updated: 1 },
sandboxes: [],
}
return json(route, url.pathname === "/project" ? [project] : project)
}
if (url.pathname === "/path")
return json(route, {
state: directory,
config: directory,
worktree: directory,
directory,
home: directory,
})
if (url.pathname === "/vcs") return json(route, { branch: "main", default_branch: "main" })
return json(route, {})
})
}
function session(id: string, directory: string, title: string) {
return {
id,
slug: id,
projectID: `project-${id}`,
directory,
title,
version: "dev",
time: { created: 1, updated: 1 },
}
}
function provider(id: string) {
const name = id === "server-b" ? "Server B" : "Server A"
return {
all: [
{
id,
name: `${name} Provider`,
models: {
[id]: {
id,
name: `${name} Model`,
family: id,
release_date: "2026-01-01",
limit: { context: 200_000 },
},
},
},
],
connected: [id],
default: { providerID: id, modelID: id },
}
}
function json(route: Route, body: unknown, status = 200) {
return route.fulfill({
status,
contentType: "application/json",
headers: { "access-control-allow-origin": "*" },
body: JSON.stringify(body),
})
}
function sse(route: Route) {
return route.fulfill({ status: 200, contentType: "text/event-stream", body: ": ok\n\n" })
}
@@ -65,7 +65,7 @@ async function mockServers(page: Page) {
if (url.pathname === `/session/${current.id}`) return json(route, current)
if (/^\/session\/[^/]+$/.test(url.pathname)) return json(route, { name: "NotFoundError" }, 404)
if (url.pathname === `/session/${current.id}/message`) return json(route, [])
if (/^\/session\/[^/]+\/(children|diff)$/.test(url.pathname)) return json(route, [])
if (/^\/session\/[^/]+\/(children|todo|diff)$/.test(url.pathname)) return json(route, [])
if (["/skill", "/command", "/lsp", "/formatter", "/permission", "/question", "/vcs/diff"].includes(url.pathname))
return json(route, [])
if (["/global/config", "/config", "/provider/auth", "/mcp"].includes(url.pathname)) return json(route, {})
@@ -1,163 +0,0 @@
import { base64Encode } from "@opencode-ai/core/util/encode"
import { expect, test } from "@playwright/test"
import { mockOpenCodeServer } from "../utils/mock-server"
import { expectSessionTitle } from "../utils/waits"
const directory = "C:/OpenCode/ReviewOpenFile"
const projectID = "proj_review_open_file"
const sessionID = "ses_review_open_file"
const title = "Review open file"
const server = `http://${process.env.PLAYWRIGHT_SERVER_HOST ?? "127.0.0.1"}:${process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"}`
test.use({ viewport: { width: 1440, height: 900 } })
test("opens and searches project files inline", async ({ page }) => {
const searches: { query: string; dirs?: string; limit?: number }[] = []
await mockOpenCodeServer(page, {
directory,
project: {
id: projectID,
worktree: directory,
vcs: "git",
name: "open-file-project",
time: { created: 1700000000000, updated: 1700000000000 },
sandboxes: [],
},
provider: {
all: [
{
id: "opencode",
name: "OpenCode",
models: { test: { id: "test", name: "Test", limit: { context: 200_000 } } },
},
],
connected: ["opencode"],
default: { providerID: "opencode", modelID: "test" },
},
sessions: [
{
id: sessionID,
slug: sessionID,
projectID,
directory,
title,
version: "dev",
time: { created: 1700000000000, updated: 1700000000000 },
},
],
vcsDiff: [fileDiff("src/changed.ts")],
fileList: (path) => {
if (path) return []
return [
fileNode("README.md"),
{ name: "src", path: "src", absolute: `${directory}/src`, type: "directory", ignored: false },
]
},
fileContent: (path) => ({ type: "text", content: `contents:${path}` }),
findFiles: (input) => {
searches.push(input)
return input.query === "nested" ? ["src/nested.ts"] : []
},
pageMessages: () => ({ items: [] }),
})
await page.addInitScript(
({ directory, server, sessionID }) => {
localStorage.setItem("settings.v3", JSON.stringify({ general: { newLayoutDesigns: true } }))
localStorage.setItem(
"opencode.global.dat:server",
JSON.stringify({
projects: { local: [{ worktree: directory, expanded: true }] },
lastProject: { local: directory },
}),
)
localStorage.setItem(
"opencode.global.dat:layout",
JSON.stringify({ review: { diffStyle: "split", panelOpened: true } }),
)
localStorage.setItem(
"opencode.global.dat:review-panel-v2",
JSON.stringify({ sidebarOpened: false, sidebarWidth: 240, expandMode: "collapse" }),
)
localStorage.setItem(
"opencode.window.browser.dat:tabs",
JSON.stringify([{ type: "session", server, sessionId: sessionID }]),
)
},
{ directory, server, sessionID },
)
await page.goto(`/server/${base64Encode(server)}/session/${sessionID}`)
await expectSessionTitle(page, title)
const panel = page.locator("#review-panel")
const sidebar = panel.locator('[data-slot="session-review-v2-sidebar"]')
const sidebarToggle = panel.getByRole("button", { name: "Toggle file tree" })
const contextButton = page.getByRole("button", { name: "View context usage" })
await contextButton.click()
await expect(panel.getByRole("tab", { name: "Context" })).toHaveAttribute("data-selected", "")
await panel.getByRole("button", { name: "Open file" }).click()
await expect(panel.getByRole("tab", { name: "Open file" })).toHaveAttribute("data-selected", "")
await expect(sidebarToggle).toBeDisabled()
await expect(sidebar).toBeVisible()
await contextButton.click()
await expect(panel.getByRole("tab", { name: "Context" })).toHaveAttribute("data-selected", "")
await expect(sidebar).toBeHidden()
await panel.getByRole("button", { name: "Open file" }).click()
const filter = panel.getByRole("combobox", { name: "Filter files" })
await expect(filter).toBeFocused()
await expect(panel.getByRole("tab", { name: "Open file" })).toHaveAttribute("data-selected", "")
await expect(panel.getByText("open-file-project", { exact: true })).toBeVisible()
await panel.getByRole("button", { name: "README.md" }).click()
await expect(panel.getByRole("tab", { name: "README.md" })).toHaveAttribute("data-selected", "")
await expect(sidebarToggle).toBeEnabled()
await expect(panel.getByText("contents:README.md", { exact: true })).toBeVisible()
await expect(sidebar).toHaveCount(0)
await panel.getByRole("button", { name: "Open file" }).click()
await expect(panel.getByRole("tab", { name: "README.md" })).toHaveCount(0)
await expect(sidebar).toBeVisible()
await filter.fill("nested")
const result = panel.getByRole("option", { name: /nested\.ts/ })
await expect(result).toBeVisible()
const resultID = await result.getAttribute("id")
expect(resultID).toBeTruthy()
await expect(filter).toHaveAttribute("aria-activedescendant", resultID!)
await filter.press("Enter")
await expect(panel.getByRole("tab", { name: "nested.ts" })).toHaveAttribute("data-selected", "")
await expect(sidebarToggle).toBeEnabled()
await expect(panel.getByText("contents:src/nested.ts", { exact: true })).toBeVisible()
expect(searches).toContainEqual({ query: "nested", dirs: "false", limit: 200 })
await panel.getByRole("button", { name: "Open file" }).click()
await expect(panel.getByRole("tab", { name: "nested.ts" })).toHaveCount(1)
await expect(panel.getByRole("tab", { name: "Open file" })).toHaveAttribute("data-selected", "")
await expect(sidebarToggle).toBeDisabled()
await panel.getByRole("tab", { name: /Review/ }).click()
await expect(sidebarToggle).toBeEnabled()
await panel.getByRole("tab", { name: "Open file" }).click()
await page.keyboard.press("Control+w")
await expect(panel.getByRole("tab", { name: "Open file" })).toHaveCount(0)
await expect(panel.getByRole("tab", { name: "nested.ts" })).toHaveAttribute("data-selected", "")
})
function fileNode(path: string) {
return {
name: path,
path,
absolute: `${directory}/${path}`,
type: "file",
ignored: false,
}
}
function fileDiff(file: string) {
return {
file,
before: "before\n",
after: "after\n",
additions: 1,
deletions: 1,
status: "modified",
}
}
@@ -1,152 +0,0 @@
import { base64Encode } from "@opencode-ai/core/util/encode"
import { expect, test, type Page } from "@playwright/test"
import { mockOpenCodeServer } from "../utils/mock-server"
import { expectSessionTitle } from "../utils/waits"
const directory = "C:/OpenCode/ReviewStatePersistence"
const projectID = "proj_review_state_persistence"
const sessionA = "ses_review_state_a"
const sessionB = "ses_review_state_b"
const titleA = "Alpha review state"
const titleB = "Beta review state"
const server = `http://${process.env.PLAYWRIGHT_SERVER_HOST ?? "127.0.0.1"}:${process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"}`
test.use({ viewport: { width: 1440, height: 900 } })
test("restores review mode and selected file per session", async ({ page }) => {
await setup(page)
await page.goto(sessionHref(sessionA))
await expectSessionTitle(page, titleA)
await page.getByRole("button", { name: "Toggle review" }).click()
await selectMode(page, "Git changes", "Branch changes")
await selectFile(page, "beta.ts")
await switchSession(page, titleB)
await expect(page.getByRole("button", { name: "Git changes" })).toBeVisible()
await selectFile(page, "gamma.ts")
await switchSession(page, titleA)
await expect(page.getByRole("button", { name: "Branch changes" })).toBeVisible()
await expectSelectedFile(page, "beta.ts")
await selectMode(page, "Branch changes", "Git changes")
await expectSelectedFile(page, "alpha.ts")
await selectMode(page, "Git changes", "Branch changes")
await expectSelectedFile(page, "beta.ts")
await page.reload()
await expectSessionTitle(page, titleA)
await expect(page.getByRole("button", { name: "Branch changes" })).toBeVisible()
await expectSelectedFile(page, "beta.ts")
await switchSession(page, titleB)
await expect(page.getByRole("button", { name: "Git changes" })).toBeVisible()
await expectSelectedFile(page, "gamma.ts")
})
async function selectMode(page: Page, current: string, next: string) {
await page.getByRole("button", { name: current }).click()
await page.getByRole("option", { name: next }).click()
}
async function selectFile(page: Page, file: string) {
await page.getByRole("button", { name: file }).click()
await expectSelectedFile(page, file)
}
async function expectSelectedFile(page: Page, file: string) {
await expect(page.locator('[data-slot="session-review-v2-file-name"]')).toHaveText(file)
}
async function switchSession(page: Page, title: string) {
await page.locator("[data-titlebar-tab-slot]", { hasText: title }).click()
await expectSessionTitle(page, title)
}
async function setup(page: Page) {
await mockOpenCodeServer(page, {
directory,
project: {
id: projectID,
worktree: directory,
vcs: "git",
name: "review-state-persistence",
time: { created: 1700000000000, updated: 1700000000000 },
sandboxes: [],
},
provider: {
all: [
{
id: "opencode",
name: "OpenCode",
models: { test: { id: "test", name: "Test", limit: { context: 200_000 } } },
},
],
connected: ["opencode"],
default: { providerID: "opencode", modelID: "test" },
},
sessions: [session(sessionA, titleA, 1700000000000), session(sessionB, titleB, 1700000001000)],
pageMessages: () => ({ items: [] }),
})
await page.route(/\/vcs(?:\?.*)?$/, (route) =>
route.fulfill({
status: 200,
contentType: "application/json",
body: JSON.stringify({ branch: "feature", default_branch: "dev" }),
}),
)
await page.route("**/vcs/diff**", (route) =>
route.fulfill({
status: 200,
contentType: "application/json",
body: JSON.stringify(
new URL(route.request().url()).searchParams.get("mode") === "branch"
? [diff("src/alpha.ts"), diff("src/beta.ts")]
: [diff("src/alpha.ts"), diff("src/gamma.ts")],
),
}),
)
await page.addInitScript(
({ directory, server, sessions }) => {
localStorage.setItem("settings.v3", JSON.stringify({ general: { newLayoutDesigns: true } }))
localStorage.setItem(
"opencode.global.dat:server",
JSON.stringify({
projects: { local: [{ worktree: directory, expanded: true }] },
lastProject: { local: directory },
}),
)
localStorage.setItem(
"opencode.window.browser.dat:tabs",
JSON.stringify(sessions.map((sessionId: string) => ({ type: "session", server, sessionId }))),
)
},
{ directory, server, sessions: [sessionA, sessionB] },
)
}
function session(id: string, title: string, created: number) {
return {
id,
slug: id,
projectID,
directory,
title,
version: "dev",
time: { created, updated: created },
}
}
function diff(file: string) {
return {
file,
additions: 1,
deletions: 1,
status: "modified",
patch: `diff --git a/${file} b/${file}\n--- a/${file}\n+++ b/${file}\n@@ -1 +1 @@\n-export const value = 'before'\n+export const value = 'after'\n`,
}
}
function sessionHref(sessionID: string) {
return `/server/${base64Encode(server)}/session/${sessionID}`
}

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