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68 Commits

Author SHA1 Message Date
James Long 7180579894 fix(core): synchronize provider plugin startup 2026-07-16 18:18:43 +00:00
James Long 7a7075d86f feat(tui): refine V2 theme colors (#37346) 2026-07-16 14:01:25 -04:00
Aiden Cline c764732aea feat(codemode): expand destructuring support (#37342) 2026-07-16 12:57:37 -05:00
Dax Raad 72af084dc1 refactor(core): make state transforms synchronous 2026-07-16 13:55:14 -04:00
Dax Raad 65a42fd549 fix(core): debounce state reloads 2026-07-16 13:34:46 -04:00
Aiden Cline ad8e6b1fb6 feat(codemode): support property deletion (#37335) 2026-07-16 12:21:28 -05:00
Kit Langton 041cda905d fix(tui): label only detached subagents as background (#37306) 2026-07-16 12:21:19 -04:00
Aiden Cline 2ad6c42143 feat(core): normalize tool and attachment images at settlement (#37141) 2026-07-16 11:16:19 -05:00
Aiden Cline 60c7f847c1 feat(codemode): support void and Object.is (#37332) 2026-07-16 11:15:29 -05:00
Dax Raad 7ab8a08efa sync 2026-07-16 12:08:12 -04:00
Aiden Cline 7388e69b5c chore(codemode): update interpreter support 2026-07-16 10:44:44 -05:00
Kit Langton 56c0658e6f refactor(core): extract session model request preparation (#37210) 2026-07-16 10:58:06 -04:00
opencode-agent[bot] 06a2592836 fix(tui): align subagent navigation copy (#37319)
Co-authored-by: Kit Langton <kit.langton@gmail.com>
2026-07-16 10:55:54 -04:00
Kit Langton 4829308f2d fix(core): preserve logical step across retries (#37316) 2026-07-16 10:54:51 -04:00
Kit Langton eec6cd5234 test(core): cover mcp instruction producer (#37303) 2026-07-16 10:40:38 -04:00
Kit Langton fc37ae4452 refactor(core): split instruction observation and commit (#37208) 2026-07-16 10:37:00 -04:00
James Long 5fcef6773c feat(tui): migrate core surfaces to V2 themes (#37145) 2026-07-16 10:22:29 -04:00
Kit Langton a5b28c2af2 refactor(core): rename guidance modules (#37207) 2026-07-16 10:05:09 -04:00
opencode-agent[bot] d01dfa57b7 fix(core): limit v2 subagent nesting depth (#37291) 2026-07-16 09:28:15 -04:00
Shoubhit Dash 198ca749fd feat(ai): add Vertex Responses entrypoint (#37286) 2026-07-16 18:09:44 +05:30
Shoubhit Dash 75f9fd5208 feat(ai): add Vertex Chat entrypoint (#37281) 2026-07-16 17:51:03 +05:30
Shoubhit Dash 282f3f7eb2 refactor(ai): separate Vertex API routes (#37275) 2026-07-16 17:17:15 +05:30
Kit Langton 4678bd1049 feat(plugin): expose synthetic session input (#37212) 2026-07-15 22:55:40 -04:00
Dax Raad 5fb0470b44 feat(api): add experimental wellknown connections 2026-07-15 22:53:38 -04:00
opencode-agent[bot] 6bf92aa7de feat(tui): suggest settings command (#37205)
Co-authored-by: Kit Langton <kit.langton@gmail.com>
2026-07-15 22:31:31 -04:00
Kit Langton 0a5530d0be fix(plugin): make tool values structural (#37202) 2026-07-15 22:25:01 -04:00
Kit Langton dc7e0f6d2e refactor(core): extract session context loading (#37203) 2026-07-15 22:22:44 -04:00
Aiden Cline b4be28d4c3 tweak: adjust compaction to clearly indicate the convo history (#37195) 2026-07-15 19:28:26 -05:00
opencode-agent[bot] 7624c4f7b3 chore: merge dev into v2 (#37170)
Co-authored-by: opencode-agent[bot] <219766164+opencode-agent[bot]@users.noreply.github.com>
Co-authored-by: Jay <53023+jayair@users.noreply.github.com>
Co-authored-by: Brendan Allan <git@brendonovich.dev>
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
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: Simon Klee <hello@simonklee.dk>
Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>
Co-authored-by: opencode <opencode@sst.dev>
Co-authored-by: Aiden Cline <aidenpcline@gmail.com>
Co-authored-by: Adam <2363879+adamdotdevin@users.noreply.github.com>
Co-authored-by: Aarav Sareen <96787824+arvsrn@users.noreply.github.com>
Co-authored-by: James Long <longster@gmail.com>
Co-authored-by: James Long <jlongster@users.noreply.github.com>
Co-authored-by: Dustin Deus <deusdustin@gmail.com>
Co-authored-by: 冯基魁 <56265583+fengjikui@users.noreply.github.com>
Co-authored-by: Frank <frank@anoma.ly>
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
Co-authored-by: Kit Langton <kit.langton@gmail.com>
Co-authored-by: David Hill <1879069+iamdavidhill@users.noreply.github.com>
Co-authored-by: usrnk1 <7547651+usrnk1@users.noreply.github.com>
Co-authored-by: Victor Navarro <vn4varro@gmail.com>
Co-authored-by: Dax Raad <d@ironbay.co>
Co-authored-by: Dax <mail@thdxr.com>
Co-authored-by: Nabs <nabil@instafork.com>
Co-authored-by: Vladimir Glafirov <vglafirov@gitlab.com>
Co-authored-by: AidenGeunGeun <eastlandwyvern@gmail.com>
Co-authored-by: Mark <geraint0923@users.noreply.github.com>
Co-authored-by: Jay <air@live.ca>
Co-authored-by: BB84 <110078428+BB-84C@users.noreply.github.com>
2026-07-15 18:23:08 -05:00
Aiden Cline 720f062cd0 refactor(core): select system prompts through plugins (#37181) 2026-07-15 18:21:32 -05:00
Dax Raad b5177adb5b feat(api): add command authentication attempts 2026-07-15 19:08:56 -04:00
Dax Raad a772767e9b refactor(api): scope oauth operations by integration 2026-07-15 19:08:56 -04:00
Aiden Cline fd19fa89c4 fix(codemode): linearize reference walks (#37179) 2026-07-15 17:24:36 -05:00
Aiden Cline 0cfa7b39db ignore: adjust agents md 2026-07-15 17:12:57 -05:00
Kit Langton 5e2e0d6965 feat(simulation): add endpoint handshake protocol (#37157) 2026-07-15 17:46:28 -04:00
opencode-agent[bot] f92d84746b refactor(plugin): scope context hook to session (#37175)
Co-authored-by: Dax Raad <d@ironbay.co>
2026-07-15 16:32:00 -04:00
Dax Raad f2f5eb6f16 feat(plugin): restore ai request hook 2026-07-15 15:58:14 -04:00
Dax Raad b95a5dc259 fix(tui): remove shell expansion hint 2026-07-15 15:43:33 -04:00
Dax Raad 3fdd12fa81 feat(ai): publish package 2026-07-15 15:17:33 -04:00
Dax Raad bb15b16499 refactor(ai): rename llm package 2026-07-15 15:11:03 -04:00
Kit Langton b6ccb66610 fix(core): bound default search results (#37154) 2026-07-15 13:49:16 -04:00
Dax Raad ec8ee60e0b refactor(client): rename service start to ensure 2026-07-15 13:34:32 -04:00
Dax Raad 75bc611ef1 refactor(client): simplify local service lifecycle 2026-07-15 13:19:50 -04:00
Shoubhit Dash 4f1298063b feat(llm): add compatible and vertex provider entrypoints (#36900) 2026-07-15 22:08:19 +05:30
Aiden Cline 22334b94c8 fix(codemode): canonicalize dotted tool paths (#36994) 2026-07-15 11:09:09 -05:00
Kit Langton f5dd181443 refactor(cli): define server connection boundary (#37133) 2026-07-15 11:48:38 -04:00
Kit Langton e8bd386973 fix(simulation): align vertical box drawing (#37137) 2026-07-15 11:26:16 -04:00
opencode-agent[bot] 36f8a1e6e5 fix(tui): summarize deleted patch files (#37134)
Co-authored-by: Kit Langton <kit.langton@gmail.com>
2026-07-15 11:25:37 -04:00
Kit Langton 35f14900ae feat(simulation): expose normalized terminal frames (#37135) 2026-07-15 11:13:47 -04:00
Dax Raad 83cfafc884 fix(tui): mount toast at app root 2026-07-15 01:24:18 -04:00
Dax Raad 09cd7445f1 tui: remove "Plugins reloaded" toast to reduce UI noise during plugin updates 2026-07-15 01:14:40 -04:00
Dax Raad 39f1336621 refactor(tui): remove home screen tips 2026-07-15 00:55:11 -04:00
Dax Raad ce636daf04 feat(core): include session ID in instructions 2026-07-15 00:47:10 -04:00
Dax Raad c1d2d7aba3 feat(session): support directory moves from slash commands 2026-07-15 00:33:59 -04:00
Dax Raad e8964ce672 refactor(tui): remove hidden command metadata 2026-07-14 23:40:40 -04:00
Dax Raad 00093c70c1 feat(tui): show session location below prompt 2026-07-14 23:32:23 -04:00
Aiden Cline 7eb7fe0763 fix(core): expand reasoning option variants (#36894) 2026-07-14 22:12:02 -05:00
Dax Raad 2cb2f9d538 refactor(tui): simplify location and command contexts 2026-07-14 23:01:53 -04:00
Dax Raad 94a23b8537 refactor(tui): centralize location state 2026-07-14 23:01:41 -04:00
James Long ff3442ce34 refactor(tui): extract V1 theme definitions (#36969) 2026-07-14 22:14:34 -04:00
Aiden Cline 72cf7f12f3 fix(core): restore default model headers (#36975) 2026-07-14 20:50:32 -05:00
Aiden Cline ba1f3d3d32 perf(codemode): batch OpenAPI query parameters (#36978) 2026-07-14 20:37:36 -05:00
Dax Raad 05fdbcce04 fix(cli): rename bash tool to shell 2026-07-14 21:31:42 -04:00
Dax Raad 387bff8fd9 feat(tui): stream shell tool output 2026-07-14 21:29:59 -04:00
James Long 9a25673c37 feat(tui): add V2 theme system (#36950) 2026-07-14 20:28:45 -04:00
Aiden Cline 563f6a65de refactor(codemode): simplify tools types (#36941) 2026-07-14 18:40:43 -05:00
opencode-agent[bot] fca3bca19d test(tui): wait for connection before tool event (#36958)
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
2026-07-14 18:38:00 -05:00
Aiden Cline d88faeb6da fix(core): restore xAI OAuth in v2 (#36955) 2026-07-14 18:25:14 -05:00
602 changed files with 15757 additions and 5513 deletions
-6
View File
@@ -1,6 +0,0 @@
---
"@opencode-ai/client": patch
"@opencode-ai/cli": patch
---
Recover explicitly restarted background services that still own the service lock but no longer answer health checks.
+1
View File
@@ -1,2 +1,3 @@
packages/core/migration/**/snapshot.json linguist-generated
packages/core/src/database/migration.gen.ts linguist-generated
packages/core/src/**/*.txt text eol=lf
-2
View File
@@ -19,8 +19,6 @@ Valid types are `feat`, `fix`, `docs`, `chore`, `refactor`, and `test`. Scopes a
Examples: `fix(tui): simplify thinking toggle styling`, `docs: update contributing guide`, `chore(sdk): regenerate types`.
Never bypass Git hooks. Do not use `--no-verify` or otherwise disable, skip, or circumvent commit or push hooks. If a hook fails, fix the failure or stop and report it to the user.
## Style Guide
### General Principles
+66 -152
View File
@@ -30,9 +30,30 @@
"turbo": "2.10.2",
},
},
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"name": "@opencode-ai/ai",
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"effect": "catalog:",
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},
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"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
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"@dnd-kit/abstract": "0.5.0",
@@ -98,7 +119,7 @@
},
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"name": "@opencode-ai/cli",
"version": "1.17.18",
"version": "1.18.2",
"bin": {
"opencode2": "./bin/opencode2.cjs",
},
@@ -158,7 +179,7 @@
},
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"name": "@opencode-ai/codemode",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"acorn": "8.15.0",
"effect": "catalog:",
@@ -172,7 +193,7 @@
},
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"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
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"@ibm/plex": "6.4.1",
@@ -208,7 +229,7 @@
},
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"name": "@opencode-ai/console-core",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
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"@jsx-email/render": "1.1.1",
@@ -235,7 +256,7 @@
},
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"name": "@opencode-ai/console-function",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"@ai-sdk/anthropic": "3.0.82",
"@ai-sdk/openai": "3.0.48",
@@ -257,7 +278,7 @@
},
"packages/console/mail": {
"name": "@opencode-ai/console-mail",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
@@ -281,7 +302,7 @@
},
"packages/console/support": {
"name": "@opencode-ai/console-support",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
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"@opencode-ai/console-core": "workspace:*",
@@ -301,7 +322,7 @@
},
"packages/core": {
"name": "@opencode-ai/core",
"version": "1.17.20",
"version": "1.18.2",
"bin": {
"opencode": "./bin/opencode",
},
@@ -335,10 +356,10 @@
"@modelcontextprotocol/sdk": "1.29.0",
"@npmcli/arborist": "9.4.0",
"@npmcli/config": "10.8.1",
"@opencode-ai/ai": "workspace:*",
"@opencode-ai/codemode": "workspace:*",
"@opencode-ai/effect-drizzle-sqlite": "workspace:*",
"@opencode-ai/effect-sqlite-node": "workspace:*",
"@opencode-ai/llm": "workspace:*",
"@opencode-ai/plugin": "workspace:*",
"@opencode-ai/schema": "workspace:*",
"@openrouter/ai-sdk-provider": "2.9.0",
@@ -397,7 +418,7 @@
},
"packages/desktop": {
"name": "@opencode-ai/desktop",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"@zip.js/zip.js": "2.7.62",
"effect": "catalog:",
@@ -457,7 +478,7 @@
},
"packages/effect-drizzle-sqlite": {
"name": "@opencode-ai/effect-drizzle-sqlite",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"drizzle-orm": "catalog:",
"effect": "catalog:",
@@ -471,7 +492,7 @@
},
"packages/effect-sqlite-node": {
"name": "@opencode-ai/effect-sqlite-node",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"effect": "catalog:",
},
@@ -483,7 +504,7 @@
},
"packages/enterprise": {
"name": "@opencode-ai/enterprise",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"@hono/standard-validator": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -515,7 +536,7 @@
},
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"name": "@opencode-ai/function",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
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"@octokit/rest": "catalog:",
@@ -531,7 +552,7 @@
},
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"name": "@opencode-ai/http-recorder",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"@effect/platform-node-shared": "4.0.0-beta.83",
},
@@ -561,28 +582,9 @@
"@typescript/native-preview": "catalog:",
},
},
"packages/llm": {
"name": "@opencode-ai/llm",
"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:",
},
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"@typescript/native-preview": "catalog:",
},
},
"packages/opencode": {
"name": "opencode",
"version": "1.17.20",
"version": "1.18.2",
"bin": {
"opencode": "./bin/opencode",
},
@@ -619,10 +621,10 @@
"@octokit/graphql": "9.0.2",
"@octokit/rest": "catalog:",
"@openauthjs/openauth": "catalog:",
"@opencode-ai/ai": "workspace:*",
"@opencode-ai/cli": "workspace:*",
"@opencode-ai/client": "workspace:*",
"@opencode-ai/codemode": "workspace:*",
"@opencode-ai/llm": "workspace:*",
"@opencode-ai/plugin": "workspace:*",
"@opencode-ai/protocol": "workspace:*",
"@opencode-ai/schema": "workspace:*",
@@ -715,12 +717,14 @@
},
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"name": "@opencode-ai/plugin",
"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"@ai-sdk/provider": "3.0.8",
"@opencode-ai/ai": "workspace:*",
"@opencode-ai/client": "workspace:*",
"@opencode-ai/schema": "workspace:*",
"@opencode-ai/sdk": "workspace:*",
"@standard-schema/spec": "^1.1.0",
"effect": "catalog:",
"zod": "catalog:",
},
@@ -802,7 +806,7 @@
},
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"name": "@opencode-ai/sdk",
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},
@@ -817,7 +821,7 @@
},
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"dependencies": {
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"@opencode-ai/core": "workspace:*",
@@ -834,7 +838,7 @@
},
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"version": "1.17.20",
"version": "1.18.2",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -882,8 +886,8 @@
"dependencies": {
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@@ -895,7 +899,7 @@
},
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"version": "1.18.2",
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@@ -908,7 +912,7 @@
},
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"dependencies": {
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@@ -942,7 +946,7 @@
},
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"@planetscale/database": "1.19.0",
@@ -961,7 +965,7 @@
},
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"@effect/platform-node": "catalog:",
@@ -1002,7 +1006,7 @@
},
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"version": "1.18.2",
"dependencies": {
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"@opencode-ai/core": "workspace:*",
@@ -1032,7 +1036,7 @@
},
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"version": "1.18.2",
"dependencies": {
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"@pierre/diffs": "catalog:",
@@ -1083,7 +1087,7 @@
},
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"dependencies": {
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@@ -2165,6 +2169,8 @@
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"@opencode-ai/ai": ["@opencode-ai/ai@workspace:packages/ai"],
"@opencode-ai/app": ["@opencode-ai/app@workspace:packages/app"],
"@opencode-ai/cli": ["@opencode-ai/cli@workspace:packages/cli"],
@@ -2203,8 +2209,6 @@
"@opencode-ai/httpapi-codegen": ["@opencode-ai/httpapi-codegen@workspace:packages/httpapi-codegen"],
"@opencode-ai/llm": ["@opencode-ai/llm@workspace:packages/llm"],
"@opencode-ai/plugin": ["@opencode-ai/plugin@workspace:packages/plugin"],
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"wrangler/esbuild/@esbuild/aix-ppc64": ["@esbuild/aix-ppc64@0.25.4", "", { "os": "aix", "cpu": "ppc64" }, "sha512-1VCICWypeQKhVbE9oW/sJaAmjLxhVqacdkvPLEjwlttjfwENRSClS8EjBz0KzRyFSCPDIkuXW34Je/vk7zdB7Q=="],
@@ -8987,12 +8917,8 @@
"@aws-sdk/credential-provider-login/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser": ["fast-xml-parser@5.7.3", "", { "dependencies": { "@nodable/entities": "^2.1.0", "fast-xml-builder": "^1.1.7", "path-expression-matcher": "^1.5.0", "strnum": "^2.2.3" }, "bin": { "fxparser": "src/cli/cli.js" } }, "sha512-C0AaNuC+mscy6vrAQKAc/rMq+zAPHodfHGZu4sGVehvAQt/JLG1O5zEcYcXSY5zSqr4YVgxsB+pHXTq0i7eDlg=="],
"@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-ini/@aws-sdk/nested-clients/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
"@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-sso/@aws-sdk/token-providers/@aws-sdk/nested-clients": ["@aws-sdk/nested-clients@3.933.0", "", { "dependencies": { "@aws-crypto/sha256-browser": "5.2.0", "@aws-crypto/sha256-js": "5.2.0", "@aws-sdk/core": "3.932.0", "@aws-sdk/middleware-host-header": "3.930.0", "@aws-sdk/middleware-logger": "3.930.0", "@aws-sdk/middleware-recursion-detection": "3.933.0", "@aws-sdk/middleware-user-agent": "3.932.0", "@aws-sdk/region-config-resolver": "3.930.0", "@aws-sdk/types": "3.930.0", "@aws-sdk/util-endpoints": "3.930.0", "@aws-sdk/util-user-agent-browser": "3.930.0", "@aws-sdk/util-user-agent-node": "3.932.0", "@smithy/config-resolver": "^4.4.3", "@smithy/core": "^3.18.2", "@smithy/fetch-http-handler": "^5.3.6", "@smithy/hash-node": "^4.2.5", "@smithy/invalid-dependency": "^4.2.5", "@smithy/middleware-content-length": "^4.2.5", "@smithy/middleware-endpoint": "^4.3.9", "@smithy/middleware-retry": "^4.4.9", "@smithy/middleware-serde": "^4.2.5", "@smithy/middleware-stack": "^4.2.5", "@smithy/node-config-provider": "^4.3.5", "@smithy/node-http-handler": "^4.4.5", "@smithy/protocol-http": "^5.3.5", "@smithy/smithy-client": "^4.9.5", "@smithy/types": "^4.9.0", "@smithy/url-parser": "^4.2.5", "@smithy/util-base64": "^4.3.0", "@smithy/util-body-length-browser": "^4.2.0", "@smithy/util-body-length-node": "^4.2.1", "@smithy/util-defaults-mode-browser": "^4.3.8", "@smithy/util-defaults-mode-node": "^4.2.11", "@smithy/util-endpoints": "^3.2.5", "@smithy/util-middleware": "^4.2.5", "@smithy/util-retry": "^4.2.5", "@smithy/util-utf8": "^4.2.0", "tslib": "^2.6.2" } }, "sha512-o1GX0+IPlFi/D8ei9y/jj3yucJWNfPnbB5appVBWevAyUdZA5KzQ2nK/hDxiu9olTZlFEFpf1m1Rn3FaGxHqsw=="],
"@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-web-identity/@aws-sdk/nested-clients/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
"@aws-sdk/credential-provider-process/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser": ["fast-xml-parser@5.7.3", "", { "dependencies": { "@nodable/entities": "^2.1.0", "fast-xml-builder": "^1.1.7", "path-expression-matcher": "^1.5.0", "strnum": "^2.2.3" }, "bin": { "fxparser": "src/cli/cli.js" } }, "sha512-C0AaNuC+mscy6vrAQKAc/rMq+zAPHodfHGZu4sGVehvAQt/JLG1O5zEcYcXSY5zSqr4YVgxsB+pHXTq0i7eDlg=="],
"@aws-sdk/credential-provider-sso/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser": ["fast-xml-parser@5.7.3", "", { "dependencies": { "@nodable/entities": "^2.1.0", "fast-xml-builder": "^1.1.7", "path-expression-matcher": "^1.5.0", "strnum": "^2.2.3" }, "bin": { "fxparser": "src/cli/cli.js" } }, "sha512-C0AaNuC+mscy6vrAQKAc/rMq+zAPHodfHGZu4sGVehvAQt/JLG1O5zEcYcXSY5zSqr4YVgxsB+pHXTq0i7eDlg=="],
@@ -9143,8 +9069,6 @@
"@octokit/rest/@octokit/core/@octokit/types/@octokit/openapi-types": ["@octokit/openapi-types@27.0.0", "", {}, "sha512-whrdktVs1h6gtR+09+QsNk2+FO+49j6ga1c55YZudfEG+oKJVvJLQi3zkOm5JjiUXAagWK2tI2kTGKJ2Ys7MGA=="],
"@opencode-ai/core/@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"@opencode-ai/desktop/@actions/artifact/@actions/http-client/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
"@opencode-ai/www/@cloudflare/vite-plugin/@cloudflare/unenv-preset/workerd": ["workerd@1.20260708.1", "", { "optionalDependencies": { "@cloudflare/workerd-darwin-64": "1.20260708.1", "@cloudflare/workerd-darwin-arm64": "1.20260708.1", "@cloudflare/workerd-linux-64": "1.20260708.1", "@cloudflare/workerd-linux-arm64": "1.20260708.1", "@cloudflare/workerd-windows-64": "1.20260708.1" }, "bin": { "workerd": "bin/workerd" } }, "sha512-WAK+Kt/VVCSldH2qSr8lx46XCJ4Q+bdlHNaFqUtOHthBEIB8C1N8HVW+VOLrxDoTCk0NGNv0zajnBeQK4JOB9w=="],
@@ -9327,14 +9251,6 @@
"@vitejs/plugin-react/vite/lightningcss/lightningcss-win32-x64-msvc": ["lightningcss-win32-x64-msvc@1.32.0", "", { "os": "win32", "cpu": "x64" }, "sha512-Amq9B/SoZYdDi1kFrojnoqPLxYhQ4Wo5XiL8EVJrVsB8ARoC1PWW6VGtT0WKCemjy8aC+louJnjS7U18x3b06Q=="],
"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/azure/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
"app-builder-lib/@electron/get/fs-extra/universalify": ["universalify@0.1.2", "", {}, "sha512-rBJeI5CXAlmy1pV+617WB9J63U6XcazHHF2f2dbJix4XzpUF0RS3Zbj0FGIOCAva5P/d/GBOYaACQ1w+0azUkg=="],
@@ -9477,8 +9393,6 @@
"@aws-sdk/credential-provider-login/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
"@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-sso/@aws-sdk/token-providers/@aws-sdk/nested-clients/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
"@aws-sdk/credential-provider-process/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
"@aws-sdk/credential-provider-sso/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
+101 -47
View File
@@ -30,6 +30,50 @@ 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 |
@@ -42,7 +86,6 @@ framework.
| 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 |
| Explicit recovery | Implemented; restart can replace an unchanged unresponsive owner |
| Cross-platform validation | macOS runtime verified; Linux and Windows run in the unit-test matrix |
## Context
@@ -165,19 +208,22 @@ This design gives each concept one authority.
## System Model
```mermaid
flowchart LR
TUI[Fresh or existing TUI]
REG[Registration file]
LOCK[Process-held OS service lock]
SHELL[Lifecycle shell]
APP[OpenCode application]
TUI -->|discover| REG
TUI -->|observe| SHELL
TUI -->|normal requests| APP
SHELL --> APP
LOCK -->|authorizes one owner| SHELL
```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
@@ -312,24 +358,39 @@ Windows, where Bun FFI is not available on every shipped architecture. It lives
the foundation of the design, so the delivery sequence spikes it first.
```text
flowchart TD
A[Contender process starts]
B{Acquire service lock?}
C[Exit successfully]
D[Bind lifecycle shell]
E[Write registration]
F[Report starting]
G[Initialize application]
H[Report ready]
I[Serve until shutdown]
A --> B
B -->|No| C
B -->|Yes| D
D --> E --> F --> G
G -->|Success| H --> I
G -->|Failure| J[Report failed and stay bound]
```
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
@@ -454,14 +515,13 @@ 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
destructive recovery. It verifies that the complete registration is unchanged
before signaling, waits for graceful exit, and re-checks registration before
escalation. This deliberately accepts the narrow risk that a stale PID was
reused by an unrelated process; automatic reconnect never takes that risk.
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
@@ -506,11 +566,8 @@ Automatic frozen-owner recovery is deferred.
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. The user presses `r`, or runs `opencode service restart`.
5. Restart rechecks the complete registration before each signal.
6. Once the process exits, normal election starts one replacement.
7. No TUI kills the owner automatically.
4. No TUI kills the owner automatically.
## TDD Verification
Implementation should proceed test-first with real subprocesses and real locks.
@@ -614,8 +671,6 @@ was the observed incident cost.
- 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.
when the replacement is ready.
- Raw transport defects never escape to the terminal.
## Follow-ups
@@ -624,8 +679,7 @@ was the observed incident cost.
- 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.
explicit-restart PID-reuse tradeoff.
- Cold-boot concurrency limits and interaction-prioritized location loading.
- 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.
@@ -1,4 +1,4 @@
# LLM Package Guide
# AI Package Guide
## Effect
@@ -115,10 +115,10 @@ Keep provider facades small and explicit:
### Provider Package Entrypoints
Catalog-selected native providers use package-like export paths from `@opencode-ai/llm`. They are internal entrypoints in one npm package, not separately published provider packages. Every entrypoint implements `ProviderPackage.Definition` and exposes `model(modelID, settings)`, where settings are serializable provider configuration plus common `headers`, `body`, and `limits` overlays.
Catalog-selected native providers use package-like export paths from `@opencode-ai/ai`. They are internal entrypoints in one npm package, not separately published provider packages. Every entrypoint implements `ProviderPackage.Definition` and exposes `model(modelID, settings)`, where settings are serializable provider configuration plus common `headers`, `body`, and `limits` overlays.
```ts
import { model } from "@opencode-ai/llm/providers/openai/responses"
import { model } from "@opencode-ai/ai/providers/openai/responses"
const selected = model("gpt-5", {
apiKey,
@@ -133,7 +133,7 @@ Do not expose `Route` in provider package settings. Route composition stays an i
### Folder layout
```
packages/llm/src/
packages/ai/src/
schema/ canonical Schema model, split by concern
ids.ts branded IDs, literal types, ProviderMetadata
options.ts Generation/Provider/Http options, Limits, Model, cache policy
@@ -143,7 +143,7 @@ packages/llm/src/
index.ts barrel
llm.ts request constructors and convenience helpers
route/
index.ts @opencode-ai/llm/route advanced barrel
index.ts @opencode-ai/ai/route advanced barrel
client.ts Route.make + LLMClient.prepare/stream/generate
executor.ts RequestExecutor service + transport error mapping
protocol.ts Protocol type + Protocol.make
@@ -1,7 +1,7 @@
# AI Library Design
> Discussion draft. This document describes the intended replacement for the
> current private `@opencode-ai/llm` API. Names and exact TypeScript signatures
> Discussion draft. This document describes an intended clean-break redesign of
> the current private `@opencode-ai/ai` API. Names and exact TypeScript signatures
> are illustrative until implementation, but the domain boundaries and defaults
> are deliberate.
@@ -1074,7 +1074,6 @@ The redesign intentionally removes or changes these current concepts:
| Current | Proposed |
| --------------------------------------- | ----------------------------------------------------------- |
| `@opencode-ai/llm` | `@opencode-ai/ai` |
| Mandatory `LLM.request({ model, ... })` | Inline calls or model-free portable requests |
| `LLM.generate` means one turn | `LLM.generate` means complete run |
| `LLMClient.generate/stream` | `LLM.generateTurn/streamTurn` for one turn |
@@ -1,11 +1,11 @@
# @opencode-ai/llm
# @opencode-ai/ai
Schema-first LLM core for opencode. One typed request, response, event, and tool language; provider quirks live in adapters, not in calling code.
```ts
import { Effect } from "effect"
import { LLM, LLMClient } from "@opencode-ai/llm"
import { OpenAI } from "@opencode-ai/llm/providers"
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")
@@ -95,7 +95,7 @@ Normalized cache usage is read back into `response.usage.cacheReadInputTokens` a
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/llm/providers"
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({
@@ -104,14 +104,14 @@ const gateway = CloudflareAIGateway.configure({
}).model("workers-ai/@cf/meta/llama-3.1-8b-instruct")
```
Included providers: OpenAI, Anthropic, Google (Gemini), Amazon Bedrock, Azure OpenAI, Cloudflare AI Gateway, Cloudflare Workers AI, GitHub Copilot, OpenRouter, xAI, plus generic OpenAI-compatible Chat helpers for DeepSeek, Cerebras, Groq, Fireworks, Together, etc. and a generic Responses entrypoint.
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/llm` 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.
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/llm/providers/openai/responses"
import { model } from "@opencode-ai/ai/providers/openai/responses"
const selected = model("gpt-5", {
apiKey: process.env.OPENAI_API_KEY,
@@ -123,11 +123,44 @@ const selected = model("gpt-5", {
OpenAI Chat and OpenAI Responses are separate semantic entrypoints:
- `@opencode-ai/llm/providers/openai/chat`
- `@opencode-ai/llm/providers/openai/responses`
- `@opencode-ai/llm/providers/openai-compatible/responses`
- `@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`. Anthropic, Google Gemini, and Amazon Bedrock expose their single native API through their existing provider paths.
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.
@@ -1,15 +1,15 @@
# LLM Provider Parity Status
Last reviewed: 2026-07-08
Last reviewed: 2026-07-16
This file tracks the gap between the native `@opencode-ai/llm` package and the AI SDK provider packages that opencode still depends on for many catalog/runtime paths.
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/llm/DESIGN.md` | Future clean-break API proposal, currently named `@opencode-ai/ai` in the draft. | Not a provider parity tracker. |
| `packages/llm/example/call-sites.md` | Route/value/provider-facade migration checklist and call-site sketches. | Architecture migration only; not AI SDK package parity. |
| 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
@@ -20,8 +20,13 @@ This file tracks the gap between the native `@opencode-ai/llm` package and the A
| 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. | No named compatible family profiles or recorded deployment coverage 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. |
@@ -39,7 +44,7 @@ This file tracks the gap between the native `@opencode-ai/llm` package and the A
| `aisdk:@ai-sdk/anthropic` | `AnthropicMessages.route` |
| `aisdk:@ai-sdk/openai-compatible` with explicit URL | `OpenAICompatibleChat.route` |
Everything else currently fails with `SessionRunnerModel.UnsupportedApiError` when the V2 native runner tries to resolve it. This includes `@ai-sdk/google`, `@ai-sdk/google-vertex`, `@ai-sdk/google-vertex/anthropic`, `@ai-sdk/azure`, `@ai-sdk/amazon-bedrock`, and `@ai-sdk/amazon-bedrock/mantle`.
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
@@ -49,8 +54,10 @@ Everything else currently fails with `SessionRunnerModel.UnsupportedApiError` wh
| `@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 | Missing | Implement Vertex endpoint derivation, ADC/OAuth auth, project/location/env resolution, OpenAI-compatible Vertex endpoint handling, and runner/catalog mapping. |
| `@ai-sdk/google-vertex/anthropic` | Anthropic Messages over Vertex namespace/facade | Missing | Implement Vertex Anthropic endpoint/auth selection, regional endpoint behavior, and compatibility with Anthropic Messages lowering/parsing. |
| `@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. |
@@ -60,38 +67,42 @@ Everything else currently fails with `SessionRunnerModel.UnsupportedApiError` wh
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 is not implemented natively. Google Gemini Developer API exists, but Vertex Gemini and Vertex Anthropic are separate auth/endpoint products and should be separate namespaces/facades.
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. Missing native API boundaries remain for Vertex Gemini, Vertex Anthropic Messages, and Bedrock Mantle.
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/llm/providers/openai/chat` | OpenAI `/chat/completions` semantics. |
| OpenAI Responses | `@opencode-ai/llm/providers/openai/responses` | OpenAI `/responses` semantics with HTTP/WebSocket selected through settings. |
| OpenAI-compatible Chat | `@opencode-ai/llm/providers/openai-compatible` | Generic OpenAI-compatible `/chat/completions`. |
| OpenAI-compatible Responses | `@opencode-ai/llm/providers/openai-compatible/responses` | Generic OpenAI-compatible `/responses`. |
| Anthropic Messages | `@opencode-ai/llm/providers/anthropic` | Anthropic Messages API. |
| Gemini Developer API | `@opencode-ai/llm/providers/google` | Google AI Studio Gemini API. |
| Vertex Gemini | Missing | Vertex Gemini API. |
| Vertex Anthropic Messages | Missing | Vertex-hosted Anthropic Messages API. |
| Bedrock Converse | `@opencode-ai/llm/providers/amazon-bedrock` | AWS Bedrock Converse API. |
| Bedrock Mantle | Missing | AWS Bedrock Mantle OpenAI-compatible APIs. |
| Azure OpenAI Chat | `@opencode-ai/llm/providers/azure/chat` | Azure specialization of OpenAI Chat. |
| Azure OpenAI Responses | `@opencode-ai/llm/providers/azure/responses` | Azure specialization of OpenAI Responses. |
| 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 Vertex Gemini and Vertex Anthropic native facades with ADC/OAuth auth and project/location endpoint derivation.
5. Add Bedrock Mantle as a separate OpenAI-compatible Bedrock namespace after deciding whether it uses Chat, Responses, or both by model.
6. 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.
7. Add recorded provider tests for Azure, Vertex Gemini, Vertex Anthropic, Bedrock credential-chain behavior, and Mantle before making native runtime the default for those packages.
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.
@@ -7,7 +7,7 @@ values directly.
## Conversation Summary
Kit and Aidan want provider-specific LLM behavior to move out of opencode's AI
SDK transform path and into `packages/llm` where possible. The goal is not a big
SDK transform path and into `packages/ai` where possible. The goal is not a big
generic transform layer; the goal is small composable route definitions backed by
recorded golden tests.
@@ -355,11 +355,38 @@ The package-like OpenAI Responses entrypoint instead keeps transport scoped to
Responses settings while preserving the same `model(...)` contract:
```ts
import { model } from "@opencode-ai/llm/providers/openai/responses"
import { model } from "@opencode-ai/ai/providers/openai/responses"
model("gpt-4o", { apiKey, transport: "websocket" })
```
Vertex keeps Gemini, Chat, Responses, and Messages as separate package-like entrypoints,
while sharing project/location resolution and ADC authentication internally:
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/gemini"
model("gemini-3.5-flash", { project, location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/chat"
model("deepseek-ai/deepseek-v3.2-maas", { project, location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/responses"
model("xai/grok-4.20-reasoning", { project, location: "global" })
```
```ts
import { model } from "@opencode-ai/ai/providers/google-vertex/messages"
model("claude-sonnet-4-6", { project, location: "global" })
```
The client should not require a different public layer just because a selected
route uses WebSocket. Use one `LLMClient.layer` with HTTP and WebSocket runtime
capabilities available; routes that do not need WebSocket simply never touch it.
@@ -1,12 +1,12 @@
import { Config, Effect, Formatter, Layer, Schema, Stream } from "effect"
import { LLM, LLMClient, Message, ProviderID, Tool, ToolRuntime } from "@opencode-ai/llm"
import { Route, Auth, Endpoint, Framing, Protocol, RequestExecutor, WebSocketExecutor } from "@opencode-ai/llm/route"
import { OpenAI } from "@opencode-ai/llm/providers"
import { LLM, LLMClient, Message, ProviderID, Tool, ToolRuntime } from "@opencode-ai/ai"
import { Route, Auth, Endpoint, Framing, Protocol, RequestExecutor, WebSocketExecutor } from "@opencode-ai/ai/route"
import { OpenAI } from "@opencode-ai/ai/providers"
/**
* A runnable walkthrough of the LLM package use-site API.
*
* Run from `packages/llm` with an OpenAI key in the environment:
* Run from `packages/ai` with an OpenAI key in the environment:
*
* OPENAI_API_KEY=... bun example/tutorial.ts
*
+37
View File
@@ -0,0 +1,37 @@
{
"$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
View File
@@ -0,0 +1,38 @@
#!/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)
}
}
@@ -18,7 +18,7 @@ export type {
AnyTool,
ExecutableTool,
ExecutableTools,
Tool as ToolShape,
Definition as ToolShape,
ToolExecute,
ToolExecuteContext,
ToolModelOutputInput,
+1
View File
@@ -0,0 +1 @@
export * from "./protocols/index"
@@ -182,7 +182,7 @@ const AnthropicBodyFields = {
thinking: Schema.optional(AnthropicThinking),
output_config: Schema.optional(AnthropicOutputConfig),
}
const AnthropicMessagesBody = Schema.Struct(AnthropicBodyFields)
export const AnthropicMessagesBody = Schema.Struct(AnthropicBodyFields)
export type AnthropicMessagesBody = Schema.Schema.Type<typeof AnthropicMessagesBody>
const AnthropicUsage = Schema.Struct({
@@ -1,7 +1,7 @@
import { EventStreamCodec } from "@smithy/eventstream-codec"
import { fromUtf8, toUtf8 } from "@smithy/util-utf8"
import { Effect, Stream } from "effect"
import type { Framing } from "../route/framing"
import { Framing } from "../route/framing"
import { ProviderShared } from "./shared"
// Bedrock streams responses using the AWS event stream binary protocol — each
@@ -79,7 +79,7 @@ const consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8A
* under its `:event-type` header so the chunk schema can match the JSON
* payload directly.
*/
export const framing = (route: string): Framing<object> => ({
export const framing = (route: string): Framing.Definition<object> => ({
id: "aws-event-stream",
frame: (bytes) => bytes.pipe(Stream.mapAccumEffect(() => initialFrameBuffer, consumeFrames(route))),
})
@@ -160,7 +160,7 @@ export const OpenAIChatEvent = Schema.Struct({
export type OpenAIChatEvent = Schema.Schema.Type<typeof OpenAIChatEvent>
type OpenAIChatRequestMessage = LLMRequest["messages"][number]
interface ParserState {
export interface ParserState {
readonly tools: ToolStream.State<number>
readonly toolCallEvents: ReadonlyArray<LLMEvent>
readonly usage?: Usage
+1
View File
@@ -0,0 +1 @@
export * from "./providers/index"
@@ -0,0 +1,67 @@
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"
@@ -3,7 +3,8 @@ 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 * as AnthropicMessages from "../protocols/anthropic-messages"
import { AnthropicMessages } from "../protocols/anthropic-messages"
import { AnthropicCompatible } from "./anthropic-compatible"
export const id = ProviderID.make("anthropic")
@@ -11,11 +12,13 @@ export const routes = [AnthropicMessages.route]
export type Config = RouteDefaultsInput & ProviderAuthOption<"optional"> & { readonly baseURL?: string }
export interface Settings extends ProviderPackage.Settings {
readonly apiKey?: string
readonly authToken?: string
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
@@ -24,26 +27,30 @@ const auth = (options: ProviderAuthOption<"optional">) => {
.pipe(Auth.header("x-api-key"))
}
const configuredRoute = (input: Config) => {
const { apiKey: _, auth: _auth, baseURL, ...rest } = input
return AnthropicMessages.route.with({ ...rest, endpoint: { baseURL }, auth: auth(input) })
}
export const configure = (input: Config = {}) => {
const route = configuredRoute(input)
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) => route.model({ id: modelID }),
model: (modelID: string | ModelID) => compatible.model(modelID),
configure,
}
}
export const provider = configure()
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
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)
}
@@ -0,0 +1,81 @@
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)
}
@@ -0,0 +1,111 @@
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)
}
@@ -0,0 +1,82 @@
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)
}
@@ -0,0 +1,77 @@
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"
@@ -0,0 +1,98 @@
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)
}
@@ -0,0 +1,2 @@
export { model } from "../google-vertex-chat"
export type { Settings } from "../google-vertex-chat"
@@ -0,0 +1,2 @@
export { model } from "../google-vertex"
export type { Settings } from "../google-vertex"
@@ -0,0 +1,2 @@
export { model } from "../google-vertex-messages"
export type { Settings } from "../google-vertex-messages"
@@ -0,0 +1,2 @@
export { model } from "../google-vertex-responses"
export type { Settings } from "../google-vertex-responses"
@@ -1,10 +1,15 @@
export * as Anthropic from "./anthropic"
export * as AnthropicCompatible from "./anthropic-compatible"
export * as AmazonBedrock from "./amazon-bedrock"
export * as Azure from "./azure"
export * as Cloudflare from "./cloudflare"
export { CloudflareAIGateway, CloudflareWorkersAI } from "./cloudflare"
export * as GitHubCopilot from "./github-copilot"
export * as Google from "./google"
export * as GoogleVertex from "./google-vertex"
export * as GoogleVertexChat from "./google-vertex-chat"
export * as GoogleVertexMessages from "./google-vertex-messages"
export * as GoogleVertexResponses from "./google-vertex-responses"
export * as OpenAI from "./openai"
export * as OpenAICompatible from "./openai-compatible"
export * as OpenAICompatibleResponses from "./openai-compatible-responses"
@@ -0,0 +1 @@
export * from "../openai-compatible-responses"
+1
View File
@@ -0,0 +1 @@
export * from "./route/index"
@@ -4,7 +4,7 @@ import { Auth } from "./auth"
export type ApiKeyMode = "optional" | "required"
export type AuthOverride = {
readonly auth: Auth
readonly auth: Auth.Definition
readonly apiKey?: never
}
@@ -44,7 +44,10 @@ export type AtLeastOne<T> = {
* override, otherwise resolve `apiKey` (option > config var) and apply it as
* a bearer token.
*/
export const bearer = (options: ProviderAuthOption<"optional">, envVar: string | ReadonlyArray<string>): Auth => {
export const bearer = (
options: ProviderAuthOption<"optional">,
envVar: string | ReadonlyArray<string>,
): Auth.Definition => {
if ("auth" in options && options.auth) return options.auth
return (Array.isArray(envVar) ? envVar : [envVar])
.reduce(
@@ -25,19 +25,19 @@ export interface AuthInput {
export interface Credential {
readonly load: Effect.Effect<Redacted.Redacted, CredentialError>
readonly orElse: (that: Credential) => Credential
readonly bearer: () => Auth
readonly header: (name: string) => Auth
readonly bearer: () => Definition
readonly header: (name: string) => Definition
readonly pipe: <A>(f: (self: Credential) => A) => A
}
export interface Auth {
export interface Definition {
readonly apply: (input: AuthInput) => Effect.Effect<Headers.Headers, AuthError>
readonly andThen: (that: Auth) => Auth
readonly orElse: (that: Auth) => Auth
readonly pipe: <A>(f: (self: Auth) => A) => A
readonly andThen: (that: Definition) => Definition
readonly orElse: (that: Definition) => Definition
readonly pipe: <A>(f: (self: Definition) => A) => A
}
export const isAuth = (input: unknown): input is Auth =>
export const isAuth = (input: unknown): input is Definition =>
typeof input === "object" && input !== null && "apply" in input && typeof input.apply === "function"
const credential = (load: Effect.Effect<Redacted.Redacted, CredentialError>): Credential => {
@@ -51,8 +51,8 @@ const credential = (load: Effect.Effect<Redacted.Redacted, CredentialError>): Cr
return self
}
const auth = (apply: Auth["apply"]): Auth => {
const self: Auth = {
const auth = (apply: Definition["apply"]): Definition => {
const self: Definition = {
apply,
andThen: (that) =>
auth((input) => apply(input).pipe(Effect.flatMap((headers) => that.apply({ ...input, headers })))),
@@ -109,15 +109,15 @@ const credentialInput = (source: Secret | Credential) =>
? credentialFromSecret(source, "value")
: source
export function bearer(source: Secret | Credential): Auth
export function bearer(source: Secret | Credential): Definition
export function bearer(source: Secret | Credential) {
return credentialInput(source).bearer()
}
export const apiKey = bearer
export function header(name: string): (source: Secret | Credential) => Auth
export function header(name: string, source: Secret | Credential): Auth
export function header(name: string): (source: Secret | Credential) => Definition
export function header(name: string, source: Secret | Credential): Definition
export function header(name: string, source?: Secret | Credential) {
if (source === undefined) {
return (next: Secret | Credential) => credentialInput(next).header(name)
@@ -125,8 +125,8 @@ export function header(name: string, source?: Secret | Credential) {
return credentialInput(source).header(name)
}
export function bearerHeader(name: string): (source: Secret | Credential) => Auth
export function bearerHeader(name: string, source: Secret | Credential): Auth
export function bearerHeader(name: string): (source: Secret | Credential) => Definition
export function bearerHeader(name: string, source: Secret | Credential): Definition
export function bearerHeader(name: string, source?: Secret | Credential) {
const render = (input: Secret | Credential) =>
fromCredential(credentialInput(input), (secret) => ({ [name]: `Bearer ${secret}` }))
@@ -149,7 +149,7 @@ const toLLMError = (error: AuthError): LLMError => {
}
export const toEffect =
(input: Auth) =>
(input: Definition) =>
(authInput: AuthInput): Effect.Effect<Headers.Headers, LLMError> =>
input.apply(authInput).pipe(Effect.mapError(toLLMError))
@@ -1,9 +1,9 @@
import { Cause, Context, Effect, Layer, Schema, Stream } from "effect"
import * as Option from "effect/Option"
import { Auth, type Auth as AuthDef } from "./auth"
import { Auth } from "./auth"
import { Endpoint, type EndpointPatch } from "./endpoint"
import { RequestExecutor } from "./executor"
import type { Framing } from "./framing"
import { Framing } from "./framing"
import { HttpTransport } from "./transport"
import type { Transport, TransportRuntime } from "./transport"
import { WebSocketExecutor } from "./transport"
@@ -40,8 +40,8 @@ export interface Route<Body, Prepared = unknown> {
/** ProviderMetadata namespace emitted and consumed by this route. */
readonly providerMetadataKey?: string
readonly protocol: ProtocolID
readonly endpoint: Endpoint<Body>
readonly auth: AuthDef
readonly endpoint: Endpoint.Definition<Body>
readonly auth: Auth.Definition
readonly transport: Transport<Body, Prepared, unknown>
readonly defaults: RouteDefaults
readonly body: RouteBody<Body>
@@ -86,7 +86,7 @@ export interface RouteDefaultsInput {
export interface RoutePatch<Body, Prepared> extends RouteDefaultsInput {
readonly id?: string
readonly provider?: string | ProviderID
readonly auth?: AuthDef
readonly auth?: Auth.Definition
readonly transport?: Transport<Body, Prepared, unknown>
readonly endpoint?: EndpointPatch<Body>
}
@@ -122,7 +122,7 @@ const mergeRouteDefaults = (base: RouteDefaults | undefined, patch: RouteDefault
}
}
const endpointBaseURL = <Body>(endpoint: Endpoint<Body>) =>
const endpointBaseURL = <Body>(endpoint: Endpoint.Definition<Body>) =>
typeof endpoint.baseURL === "string" ? endpoint.baseURL : undefined
const mergeHeaders = (...items: ReadonlyArray<Record<string, string> | undefined>) => {
@@ -192,11 +192,11 @@ export interface MakeInput<Body, Frame, Event, State> {
/** Semantic API contract — owns body construction, body schema, and parsing. */
readonly protocol: Protocol<Body, Frame, Event, State>
/** Where the request is sent. */
readonly endpoint: Endpoint<Body>
readonly endpoint: Endpoint.Definition<Body>
/** Per-request transport auth. Provider facades override this via `route.with(...)`. */
readonly auth?: AuthDef
readonly auth?: Auth.Definition
/** Stream framing — bytes -> frames before `protocol.stream.event` decoding. */
readonly framing: Framing<Frame>
readonly framing: Framing.Definition<Frame>
/** Static / per-request headers added before `auth` runs. */
readonly headers?: (input: { readonly request: LLMRequest }) => Record<string, string>
/** Route/request defaults used when compiling requests for this route. */
@@ -213,9 +213,9 @@ export interface MakeTransportInput<Body, Prepared, Frame, Event, State> {
/** Semantic API contract — owns body construction, body schema, and parsing. */
readonly protocol: Protocol<Body, Frame, Event, State>
/** Where the request is sent. */
readonly endpoint: Endpoint<Body>
readonly endpoint: Endpoint.Definition<Body>
/** Per-request transport auth. Provider facades override this via `route.with(...)`. */
readonly auth?: AuthDef
readonly auth?: Auth.Definition
/** Static / per-request headers added before `auth` runs. */
readonly headers?: (input: { readonly request: LLMRequest }) => Record<string, string>
/** Runnable transport route. */
@@ -19,21 +19,24 @@ export type EndpointPart<Body> = string | ((input: EndpointInput<Body>) => strin
* URL embeds the model id, region, or another body field (e.g. Bedrock,
* Gemini).
*/
export interface Endpoint<Body> {
export interface Definition<Body> {
readonly baseURL?: string
readonly path: EndpointPart<Body>
readonly query?: Record<string, string>
}
export type EndpointPatch<Body> = Partial<Endpoint<Body>>
export type EndpointPatch<Body> = Partial<Definition<Body>>
/** Construct an `Endpoint` from a path string or path function. */
export const path = <Body>(value: EndpointPart<Body>, options: Omit<Endpoint<Body>, "path"> = {}): Endpoint<Body> => ({
export const path = <Body>(
value: EndpointPart<Body>,
options: Omit<Definition<Body>, "path"> = {},
): Definition<Body> => ({
...options,
path: value,
})
export const merge = <Body>(base: Endpoint<Body>, patch: EndpointPatch<Body>): Endpoint<Body> => ({
export const merge = <Body>(base: Definition<Body>, patch: EndpointPatch<Body>): Definition<Body> => ({
...base,
...patch,
baseURL: patch.baseURL ?? base.baseURL,
@@ -44,7 +47,7 @@ export const merge = <Body>(base: Endpoint<Body>, patch: EndpointPatch<Body>): E
const renderPart = <Body>(part: EndpointPart<Body>, input: EndpointInput<Body>) =>
typeof part === "function" ? part(input) : part
export const render = <Body>(endpoint: Endpoint<Body>, input: EndpointInput<Body>) => {
export const render = <Body>(endpoint: Definition<Body>, input: EndpointInput<Body>) => {
const url = new URL(`${ProviderShared.trimBaseUrl(endpoint.baseURL ?? "")}${renderPart(endpoint.path, input)}`)
for (const [key, value] of Object.entries(endpoint.query ?? {})) url.searchParams.set(key, value)
return url
@@ -16,12 +16,12 @@ import type { LLMError } from "../schema"
* The frame type is opaque to this layer; the protocol's `decode` step turns
* a frame into a typed chunk.
*/
export interface Framing<Frame> {
export interface Definition<Frame> {
readonly id: string
readonly frame: (bytes: Stream.Stream<Uint8Array, LLMError>) => Stream.Stream<Frame, LLMError>
}
/** Server-Sent Events framing. Used by every JSON-streaming HTTP provider. */
export const sse: Framing<string> = { id: "sse", frame: ProviderShared.sseFraming }
export const sse: Definition<string> = { id: "sse", frame: ProviderShared.sseFraming }
export * as Framing from "./framing"
@@ -17,9 +17,9 @@ export { Framing } from "./framing"
export { Protocol } from "./protocol"
export { HttpTransport, WebSocketExecutor, WebSocketTransport } from "./transport"
export * as Transport from "./transport"
export type { Auth as AuthShape, AuthInput, Credential, CredentialError } from "./auth"
export type { Definition as AuthShape, AuthInput, Credential, CredentialError } from "./auth"
export type { ApiKeyMode, AuthOverride, ProviderAuthOption } from "./auth-options"
export type { Endpoint as EndpointFn, EndpointInput } from "./endpoint"
export type { Framing as FramingDef } from "./framing"
export type { Definition as EndpointFn, EndpointInput } from "./endpoint"
export type { Definition as FramingDef } from "./framing"
export type { Protocol as ProtocolDef } from "./protocol"
export type { Transport as TransportDef, TransportRuntime } from "./transport"
@@ -2,7 +2,7 @@ import { Effect, Stream } from "effect"
import { Headers, HttpClientRequest } from "effect/unstable/http"
import { Auth } from "../auth"
import { render as renderEndpoint } from "../endpoint"
import { Framing, type Framing as FramingDef } from "../framing"
import { Framing } from "../framing"
import type { Transport, TransportPrepareInput } from "./index"
import * as ProviderShared from "../../protocols/shared"
import { mergeJsonRecords, type LLMRequest } from "../../schema"
@@ -18,7 +18,7 @@ export interface JsonRequestParts<Body = unknown> {
export interface HttpPrepared<Frame> {
readonly request: HttpClientRequest.HttpClientRequest
readonly framing: FramingDef<Frame>
readonly framing: Framing.Definition<Frame>
}
const applyQuery = (url: string, query: Record<string, string> | undefined) => {
@@ -29,6 +29,7 @@ const applyQuery = (url: string, query: Record<string, string> | undefined) => {
}
const PROTOCOL_BODY_OVERLAY_DENYLIST = new Set([
"anthropic_version",
"content",
"contents",
"frequencyPenalty",
@@ -106,7 +107,7 @@ export const jsonRequestParts = <Body>(input: JsonRequestInput<Body>) =>
})
export interface HttpJsonInput<_Body, Frame> {
readonly framing: FramingDef<Frame>
readonly framing: Framing.Definition<Frame>
}
export type HttpJsonPatch<Body, Frame> = Partial<HttpJsonInput<Body, Frame>>
@@ -1,6 +1,6 @@
import type { Effect, Stream } from "effect"
import type { Endpoint } from "../endpoint"
import type { Auth } from "../auth"
import { Endpoint } from "../endpoint"
import { Auth } from "../auth"
import type { Interface as RequestExecutorInterface } from "../executor"
import type { Interface as WebSocketExecutorInterface } from "./websocket"
import type { LLMError, LLMRequest } from "../../schema"
@@ -23,8 +23,8 @@ export interface Transport<Body, Prepared, Frame> {
export interface TransportPrepareInput<Body> {
readonly body: Body
readonly request: LLMRequest
readonly endpoint: Endpoint<Body>
readonly auth: Auth
readonly endpoint: Endpoint.Definition<Body>
readonly auth: Auth.Definition
readonly encodeBody: (body: Body) => string
readonly headers?: (input: { readonly request: LLMRequest }) => Record<string, string>
}
@@ -45,7 +45,7 @@ export type ToolToModelOutput<Parameters extends ToolSchema<any>, Success extend
* Internally each tool also carries memoized codecs and a precomputed
* `ToolDefinition` so callers do not rebuild them per invocation.
*/
export interface Tool<Parameters extends ToolSchema<any>, Success extends ToolSchema<any>> {
export interface Definition<Parameters extends ToolSchema<any>, Success extends ToolSchema<any>> {
readonly description: string
readonly parameters: Parameters
readonly success: Success
@@ -68,9 +68,9 @@ export interface Tool<Parameters extends ToolSchema<any>, Success extends ToolSc
readonly _definition: ToolDefinitionClass
}
export type AnyTool = Tool<any, any>
export type AnyTool = Definition<any, any>
export type ExecutableTool<Parameters extends ToolSchema<any>, Success extends ToolSchema<any>> = Tool<
export type ExecutableTool<Parameters extends ToolSchema<any>, Success extends ToolSchema<any>> = Definition<
Parameters,
Success
> & {
@@ -145,7 +145,7 @@ export function make<Parameters extends ToolSchema<any>, Success extends ToolSch
readonly execute?: undefined
readonly toModelOutput?: ToolToModelOutput<Parameters, Success>
readonly toStructuredOutput?: (output: Success["Encoded"]) => unknown
}): Tool<Parameters, Success>
}): Definition<Parameters, Success>
export function make(config: {
readonly description: string
readonly jsonSchema: JsonSchema.JsonSchema
@@ -5,10 +5,15 @@ import { Auth as RuntimeAuth } from "../src/route/auth"
import * as OpenAIChat from "../src/protocols/openai-chat"
import * as AmazonBedrock from "../src/providers/amazon-bedrock"
import * as Anthropic from "../src/providers/anthropic"
import * as AnthropicCompatible from "../src/providers/anthropic-compatible"
import * as Azure from "../src/providers/azure"
import * as Cloudflare from "../src/providers/cloudflare"
import * as GitHubCopilot from "../src/providers/github-copilot"
import * as Google from "../src/providers/google"
import * as GoogleVertex from "../src/providers/google-vertex"
import * as GoogleVertexChat from "../src/providers/google-vertex-chat"
import * as GoogleVertexMessages from "../src/providers/google-vertex-messages"
import * as GoogleVertexResponses from "../src/providers/google-vertex-responses"
import * as OpenAI from "../src/providers/openai"
import * as OpenAICompatible from "../src/providers/openai-compatible"
import * as OpenRouter from "../src/providers/openrouter"
@@ -135,11 +140,93 @@ Azure.configure({ resourceName: "resource", apiKey: "azure-key", auth: RuntimeAu
Anthropic.configure({ apiKey: "anthropic-key" }).model("claude-haiku")
// @ts-expect-error Anthropic model selectors only accept model ids.
Anthropic.configure({ apiKey: "anthropic-key" }).model("claude-haiku", {})
// @ts-expect-error Anthropic package settings accept only one auth source.
Anthropic.model("claude-sonnet-4-6", { apiKey: "anthropic-key", authToken: "anthropic-token" })
AnthropicCompatible.configure({
apiKey: "messages-key",
baseURL: "https://messages.example.com/v1",
provider: "example",
}).model("compatible-model")
// @ts-expect-error Anthropic-compatible providers require a base URL.
AnthropicCompatible.configure({ apiKey: "messages-key" })
// @ts-expect-error Anthropic-compatible model selectors only accept model ids.
AnthropicCompatible.configure({ baseURL: "https://messages.example.com/v1" }).model("compatible-model", {})
// @ts-expect-error Anthropic-compatible package settings accept only one auth source.
AnthropicCompatible.model("compatible-model", {
apiKey: "messages-key",
authToken: "messages-token",
baseURL: "https://messages.example.com/v1",
})
Google.configure({ apiKey: "google-key" }).model("gemini-2.5-flash")
// @ts-expect-error Google model selectors only accept model ids.
Google.configure({ apiKey: "google-key" }).model("gemini-2.5-flash", {})
GoogleVertex.configure({ apiKey: "vertex-key" }).model("gemini-3.5-flash")
GoogleVertex.configure({ accessToken: "vertex-token", project: "project" }).model("gemini-3.5-flash")
GoogleVertex.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model("gemini-3.5-flash")
// @ts-expect-error Vertex Gemini model selectors only accept model ids.
GoogleVertex.configure({ apiKey: "vertex-key" }).model("gemini-3.5-flash", {})
// @ts-expect-error Vertex Gemini config accepts only one auth source.
GoogleVertex.configure({ accessToken: "vertex-token", apiKey: "vertex-key", project: "project" })
// @ts-expect-error Vertex Gemini package settings accept only one auth source.
GoogleVertex.model("gemini-3.5-flash", { accessToken: "vertex-token", apiKey: "vertex-key", project: "project" })
GoogleVertexChat.configure({ accessToken: "vertex-token", project: "project" }).model("deepseek-ai/deepseek-v3.2-maas")
GoogleVertexChat.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
"deepseek-ai/deepseek-v3.2-maas",
)
// @ts-expect-error Vertex Chat package settings do not accept API keys.
GoogleVertexChat.model("deepseek-ai/deepseek-v3.2-maas", { apiKey: "vertex-key", project: "project" })
GoogleVertexChat.configure({ accessToken: "vertex-token", project: "project" }).model(
"deepseek-ai/deepseek-v3.2-maas",
// @ts-expect-error Vertex Chat model selectors only accept model ids.
{},
)
GoogleVertexChat.configure({
accessToken: "vertex-token",
// @ts-expect-error Vertex Chat config accepts only one auth source.
auth: RuntimeAuth.bearer("vertex-token"),
project: "project",
})
GoogleVertexResponses.configure({ accessToken: "vertex-token", project: "project" }).model("xai/grok-4.20-reasoning")
GoogleVertexResponses.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
"xai/grok-4.20-reasoning",
)
// @ts-expect-error Vertex Responses package settings do not accept API keys.
GoogleVertexResponses.model("xai/grok-4.20-reasoning", { apiKey: "vertex-key", project: "project" })
GoogleVertexResponses.configure({ accessToken: "vertex-token", project: "project" }).model(
"xai/grok-4.20-reasoning",
// @ts-expect-error Vertex Responses model selectors only accept model ids.
{},
)
GoogleVertexResponses.configure({
accessToken: "vertex-token",
// @ts-expect-error Vertex Responses config accepts only one auth source.
auth: RuntimeAuth.bearer("vertex-token"),
project: "project",
})
GoogleVertexMessages.configure({ accessToken: "vertex-token", project: "project" }).model("claude-sonnet-4-6")
// @ts-expect-error Vertex Messages package settings do not accept API keys.
GoogleVertexMessages.model("claude-sonnet-4-6", { apiKey: "vertex-key", project: "project" })
GoogleVertexMessages.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
"claude-sonnet-4-6",
)
GoogleVertexMessages.configure({ accessToken: "vertex-token", project: "project" }).model(
"claude-sonnet-4-6",
// @ts-expect-error Vertex Messages model selectors only accept model ids.
{},
)
GoogleVertexMessages.configure({
accessToken: "vertex-token",
// @ts-expect-error Vertex Messages config accepts only one auth source.
auth: RuntimeAuth.bearer("vertex-token"),
project: "project",
})
AmazonBedrock.configure({ apiKey: "bedrock-key" }).model("anthropic.claude")
// @ts-expect-error Bedrock model selectors only accept model ids.
AmazonBedrock.configure({ apiKey: "bedrock-key" }).model("anthropic.claude", {})

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