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1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Sebastian Herrlinger
|
a7eac991cf |
@@ -1,13 +0,0 @@
|
||||
import type { Context } from "../../../packages/plugin/src/tui/context"
|
||||
|
||||
export default {
|
||||
id: "test.tui-discovery-smoke",
|
||||
setup(_context: Context) {
|
||||
// context.ui.toast.show({
|
||||
// title: "TUI plugin discovery works",
|
||||
// message: "Loaded .opencode/plugins/tui/discovery-smoke.ts",
|
||||
// variant: "success",
|
||||
// duration: 30_000,
|
||||
// })
|
||||
},
|
||||
}
|
||||
@@ -147,11 +147,6 @@
|
||||
"ws": "8.21.0",
|
||||
},
|
||||
"devDependencies": {
|
||||
"@ff-labs/fff-bin-darwin-arm64": "0.10.1",
|
||||
"@ff-labs/fff-bin-linux-arm64-gnu": "0.10.1",
|
||||
"@ff-labs/fff-bin-linux-x64-gnu": "0.10.1",
|
||||
"@ff-labs/fff-bin-win32-arm64": "0.10.1",
|
||||
"@ff-labs/fff-bin-win32-x64": "0.10.1",
|
||||
"@lydell/node-pty-darwin-arm64": "1.2.0-beta.12",
|
||||
"@lydell/node-pty-darwin-x64": "1.2.0-beta.12",
|
||||
"@lydell/node-pty-linux-arm64": "1.2.0-beta.12",
|
||||
@@ -169,11 +164,6 @@
|
||||
"@types/bun": "catalog:",
|
||||
"@types/semver": "catalog:",
|
||||
"@typescript/native-preview": "catalog:",
|
||||
"@yuuang/ffi-rs-darwin-arm64": "1.3.2",
|
||||
"@yuuang/ffi-rs-linux-arm64-gnu": "1.3.2",
|
||||
"@yuuang/ffi-rs-linux-x64-gnu": "1.3.2",
|
||||
"@yuuang/ffi-rs-win32-arm64-msvc": "1.3.2",
|
||||
"@yuuang/ffi-rs-win32-x64-msvc": "1.3.2",
|
||||
"vite": "catalog:",
|
||||
"vite-plugin-solid": "catalog:",
|
||||
},
|
||||
@@ -374,7 +364,6 @@
|
||||
"@effect/platform-node": "catalog:",
|
||||
"@effect/sql-sqlite-bun": "catalog:",
|
||||
"@ff-labs/fff-bun": "0.10.1",
|
||||
"@ff-labs/fff-node": "0.10.1",
|
||||
"@lydell/node-pty": "catalog:",
|
||||
"@modelcontextprotocol/sdk": "1.29.0",
|
||||
"@opencode-ai/ai": "workspace:*",
|
||||
@@ -600,7 +589,6 @@
|
||||
"zod": "catalog:",
|
||||
},
|
||||
"devDependencies": {
|
||||
"@opencode-ai/theme": "workspace:*",
|
||||
"@opentui/core": "catalog:",
|
||||
"@opentui/keymap": "catalog:",
|
||||
"@opentui/solid": "catalog:",
|
||||
@@ -612,14 +600,12 @@
|
||||
"typescript": "catalog:",
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@opencode-ai/theme": "workspace:*",
|
||||
"@opentui/core": ">=0.4.5",
|
||||
"@opentui/keymap": ">=0.4.5",
|
||||
"@opentui/solid": ">=0.4.5",
|
||||
"solid-js": ">=1.9.0",
|
||||
},
|
||||
"optionalPeers": [
|
||||
"@opencode-ai/theme",
|
||||
"@opentui/core",
|
||||
"@opentui/keymap",
|
||||
"@opentui/solid",
|
||||
@@ -1710,8 +1696,6 @@
|
||||
|
||||
"@ff-labs/fff-bun": ["@ff-labs/fff-bun@0.10.1", "", { "optionalDependencies": { "@ff-labs/fff-bin-android-arm64": "0.10.1", "@ff-labs/fff-bin-darwin-arm64": "0.10.1", "@ff-labs/fff-bin-darwin-x64": "0.10.1", "@ff-labs/fff-bin-linux-arm64-gnu": "0.10.1", "@ff-labs/fff-bin-linux-arm64-musl": "0.10.1", "@ff-labs/fff-bin-linux-x64-gnu": "0.10.1", "@ff-labs/fff-bin-linux-x64-musl": "0.10.1", "@ff-labs/fff-bin-win32-arm64": "0.10.1", "@ff-labs/fff-bin-win32-x64": "0.10.1" }, "os": [ "!aix", "!sunos", "!freebsd", "!openbsd", ], "cpu": [ "x64", "arm64", ] }, "sha512-9oUCxypGbf2q3vNfKZ31wdzt5KqjhA9S6TwQaFol/j1lkSHVGvtIa3RvdGHPs1UUuvR/MO7b6pHj054BR9bXPQ=="],
|
||||
|
||||
"@ff-labs/fff-node": ["@ff-labs/fff-node@0.10.1", "", { "dependencies": { "ffi-rs": "^1.0.0" }, "optionalDependencies": { "@ff-labs/fff-bin-android-arm64": "0.10.1", "@ff-labs/fff-bin-darwin-arm64": "0.10.1", "@ff-labs/fff-bin-darwin-x64": "0.10.1", "@ff-labs/fff-bin-linux-arm64-gnu": "0.10.1", "@ff-labs/fff-bin-linux-arm64-musl": "0.10.1", "@ff-labs/fff-bin-linux-x64-gnu": "0.10.1", "@ff-labs/fff-bin-linux-x64-musl": "0.10.1", "@ff-labs/fff-bin-win32-arm64": "0.10.1", "@ff-labs/fff-bin-win32-x64": "0.10.1" }, "os": [ "!aix", "!sunos", "!freebsd", "!openbsd", ], "cpu": [ "x64", "arm64", ] }, "sha512-I2TIWHkey4wpLCncUQymBz/yWrjp/TE91yjrPvSLaPMUMRf3wXwEmelGNnZ5ynxy3cUauYg5b5hsUwhOK4skfA=="],
|
||||
|
||||
"@floating-ui/core": ["@floating-ui/core@1.8.0", "", { "dependencies": { "@floating-ui/utils": "^0.2.12" } }, "sha512-0CIZ5itps/8x7BG8dEIhs53BvCUH2PCoogtakwRTut+Arm58sJooJ0AuZhLw2HJYIR5cMLNPBSS728sPho2khQ=="],
|
||||
|
||||
"@floating-ui/dom": ["@floating-ui/dom@1.8.0", "", { "dependencies": { "@floating-ui/core": "^1.8.0", "@floating-ui/utils": "^0.2.12" } }, "sha512-yXSrzeHZBTZadLOlfyhCkJHNeLJnHRnRInwdZ40L7ZiaAtrBwoYlsDrX3v5zB1Utk7CLfzcOVnVVWoXEky7Ceg=="],
|
||||
@@ -3288,28 +3272,6 @@
|
||||
|
||||
"@xmldom/xmldom": ["@xmldom/xmldom@0.8.13", "", {}, "sha512-KRYzxepc14G/CEpEGc3Yn+JKaAeT63smlDr+vjB8jRfgTBBI9wRj/nkQEO+ucV8p8I9bfKLWp37uHgFrbntPvw=="],
|
||||
|
||||
"@yuuang/ffi-rs-android-arm64": ["@yuuang/ffi-rs-android-arm64@1.3.2", "", { "os": "android", "cpu": "arm64" }, "sha512-eDYLT0kVBkp7e2BwdRDmt6N1rkeDPUHDefk3ZX0/nok+GLsqfy1WBoSL3Yg7HVXN1EyW8OBVc2uK8Zq8HbmaSA=="],
|
||||
|
||||
"@yuuang/ffi-rs-darwin-arm64": ["@yuuang/ffi-rs-darwin-arm64@1.3.2", "", { "os": "darwin", "cpu": "arm64" }, "sha512-kRdgPaOM6TfuC5wHUwstlatk4HNie2lwSLJWQL2LiAUIJ7+96CoiWUNVhwBcFrhdfxhnWenYS6F668CV0vit8Q=="],
|
||||
|
||||
"@yuuang/ffi-rs-darwin-x64": ["@yuuang/ffi-rs-darwin-x64@1.3.2", "", { "os": "darwin", "cpu": "x64" }, "sha512-O3AlVgre8FQcZRJe44Xs7A6iDLumoPXqbw40+eJCa2gyXaXyLPdHoWrS1W9rBCa1QZRRnG7zRulPVFw8C5uo8g=="],
|
||||
|
||||
"@yuuang/ffi-rs-linux-arm-gnueabihf": ["@yuuang/ffi-rs-linux-arm-gnueabihf@1.3.2", "", { "os": "linux", "cpu": "arm" }, "sha512-IXiNdTbIcTCPny5eeElijFWYeKSJjQWSjt9ZyJNdLHYiB1Np+XD6K7wNZS6EOMgMelhW1kQE62T654skGkVDIA=="],
|
||||
|
||||
"@yuuang/ffi-rs-linux-arm64-gnu": ["@yuuang/ffi-rs-linux-arm64-gnu@1.3.2", "", { "os": "linux", "cpu": "arm64" }, "sha512-gWFO6xufUK9lPYUqDvKa6IR243dPqdetgl9Q7HrZWaDu7wLo06QQrosw8QTzndafQnOcBKm6LoLujmGCfTgJOA=="],
|
||||
|
||||
"@yuuang/ffi-rs-linux-arm64-musl": ["@yuuang/ffi-rs-linux-arm64-musl@1.3.2", "", { "os": "linux", "cpu": "arm64" }, "sha512-lejvOSqypPziQH5rzfkDlJ6e92qhWbDutE9ttOO6z5I2k83zoh9iZhZWhaXSU5VqgQpcshRkrbtXb9gy1ft5dA=="],
|
||||
|
||||
"@yuuang/ffi-rs-linux-x64-gnu": ["@yuuang/ffi-rs-linux-x64-gnu@1.3.2", "", { "os": "linux", "cpu": "x64" }, "sha512-s8VCFazaJKmgY2hgMTpWk4TtBY/zy5ovbaGgwyY0FvBD0YvyhcET4IrMsDJpHhFVTPCYfKZ1dN45clD/YiFp6g=="],
|
||||
|
||||
"@yuuang/ffi-rs-linux-x64-musl": ["@yuuang/ffi-rs-linux-x64-musl@1.3.2", "", { "os": "linux", "cpu": "x64" }, "sha512-Ahr5chfKZKWUik20bEZRug+be57LZ2yYrtolyjSRoo7A4ZniBUHBZUNWm6TD6i0CJayqyxWeVk/XiaABD8bY0w=="],
|
||||
|
||||
"@yuuang/ffi-rs-win32-arm64-msvc": ["@yuuang/ffi-rs-win32-arm64-msvc@1.3.2", "", { "os": "win32", "cpu": "arm64" }, "sha512-yhpLcj0qel5VNlpzxPZfNmi7+rEX8444QHjUP6WWLxdRfqPllROu/Cp3OpkBpw3BLdxfcDhWkjWMD5QsJN0Pvg=="],
|
||||
|
||||
"@yuuang/ffi-rs-win32-ia32-msvc": ["@yuuang/ffi-rs-win32-ia32-msvc@1.3.2", "", { "os": "win32", "cpu": [ "x64", "ia32", ] }, "sha512-BFVSbdtg/7mJBw5kQFOPKFiA+SF7z3240HpzHN81Umm4Bp4dWkyx0msYn8+Q7/BBJiLQ4F6bi3Nftk58YA9r9w=="],
|
||||
|
||||
"@yuuang/ffi-rs-win32-x64-msvc": ["@yuuang/ffi-rs-win32-x64-msvc@1.3.2", "", { "os": "win32", "cpu": "x64" }, "sha512-ZL5MJ76n2rjwGo26kCWW7wK6QT/cee00Rx8pfW79pz6vM6jqfhoE7zTnwFiw4aOQUes9+HUc5DeeJ3z+Vb9oLg=="],
|
||||
|
||||
"@zip.js/zip.js": ["@zip.js/zip.js@2.7.62", "", {}, "sha512-OaLvZ8j4gCkLn048ypkZu29KX30r8/OfFF2w4Jo5WXFr+J04J+lzJ5TKZBVgFXhlvSkqNFQdfnY1Q8TMTCyBVA=="],
|
||||
|
||||
"abbrev": ["abbrev@4.0.0", "", {}, "sha512-a1wflyaL0tHtJSmLSOVybYhy22vRih4eduhhrkcjgrWGnRfrZtovJ2FRjxuTtkkj47O/baf0R86QU5OuYpz8fA=="],
|
||||
@@ -4074,8 +4036,6 @@
|
||||
|
||||
"file-uri-to-path": ["file-uri-to-path@1.0.0", "", {}, "sha512-0Zt+s3L7Vf1biwWZ29aARiVYLx7iMGnEUl9x33fbB/j3jR81u/O2LbqK+Bm1CDSNDKVtJ/YjwY7TUd5SkeLQLw=="],
|
||||
|
||||
"ffi-rs": ["ffi-rs@1.3.2", "", { "optionalDependencies": { "@yuuang/ffi-rs-android-arm64": "1.3.2", "@yuuang/ffi-rs-darwin-arm64": "1.3.2", "@yuuang/ffi-rs-darwin-x64": "1.3.2", "@yuuang/ffi-rs-linux-arm-gnueabihf": "1.3.2", "@yuuang/ffi-rs-linux-arm64-gnu": "1.3.2", "@yuuang/ffi-rs-linux-arm64-musl": "1.3.2", "@yuuang/ffi-rs-linux-x64-gnu": "1.3.2", "@yuuang/ffi-rs-linux-x64-musl": "1.3.2", "@yuuang/ffi-rs-win32-arm64-msvc": "1.3.2", "@yuuang/ffi-rs-win32-ia32-msvc": "1.3.2", "@yuuang/ffi-rs-win32-x64-msvc": "1.3.2" } }, "sha512-4s8dX9VbBw/jd5NOuE3EJRqXaIVdjMyiumeeDzrOhtjQRwp6Bz2za7iksWXTnvTQKV/tTdm1s1w7mObe92zPjQ=="],
|
||||
|
||||
"filelist": ["filelist@1.0.6", "", { "dependencies": { "minimatch": "^5.0.1" } }, "sha512-5giy2PkLYY1cP39p17Ech+2xlpTRL9HLspOfEgm0L6CwBXBTgsK5ou0JtzYuepxkaQ/tvhCFIJ5uXo0OrM2DxA=="],
|
||||
|
||||
"fill-range": ["fill-range@7.1.1", "", { "dependencies": { "to-regex-range": "^5.0.1" } }, "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg=="],
|
||||
|
||||
@@ -1,118 +0,0 @@
|
||||
# V1 to V2 Database Migration
|
||||
|
||||
## Approach
|
||||
|
||||
- Use the `dev` branch database schema and migration registry as the V1 baseline.
|
||||
- Remove migrations that exist only on the V2 branch.
|
||||
- Generate one canonical migration from the `dev` schema to the final V2 schema.
|
||||
- Add explicit data operations to that migration where generated DDL is insufficient.
|
||||
- Test the migration against a populated database at the exact `dev` schema.
|
||||
|
||||
## Preserve
|
||||
|
||||
The canonical V1 data remains in its existing tables. In particular, preserve `session`, `message`, and `part` rows.
|
||||
|
||||
Preserve `workspace` rows and existing `session.workspace_id` values unchanged. The migration must not clear or rebuild
|
||||
workspace relationships.
|
||||
|
||||
Keep the `todo` table and its data unchanged. V2 does not currently migrate todos into another representation, and the
|
||||
generated migration must not drop the table.
|
||||
|
||||
## Truncate
|
||||
|
||||
Truncate these pre-launch V2 tables before applying schema changes:
|
||||
|
||||
- `event`
|
||||
- `event_sequence`
|
||||
- `session_message`
|
||||
|
||||
These rows are not canonical V1 data. Truncating `event` before adding the required `event.created` column means the
|
||||
column needs neither a backfill nor a default. After truncation, rebuild `session_message` from canonical V1 `message`
|
||||
and `part` rows rather than retaining its pre-launch V2 contents.
|
||||
|
||||
## Message Backfill
|
||||
|
||||
Backfill canonical V1 history from `message` and `part` into `session_message`. This is the main data transformation in
|
||||
the migration. Preserving the V1 tables alone keeps the data safe but does not make existing history visible through the
|
||||
V2 session APIs, which read `session_message`.
|
||||
|
||||
Reuse each V1 `message.id` as the corresponding `session_message.id`. Stable IDs keep the migration deterministic and
|
||||
avoid rewriting other persisted state that may refer to a message.
|
||||
|
||||
Within each session, order V1 messages by `time_created` and then `id`, matching the existing V1 message index. Assign
|
||||
contiguous `session_message.seq` values starting at `0`.
|
||||
|
||||
Map ordinary V1 messages one-to-one by role. Each ordinary V1 user message becomes one V2 `user` row, and each ordinary
|
||||
V1 assistant message becomes one V2 `assistant` row. Fold the source message's ordered V1 parts into that row's V2
|
||||
payload.
|
||||
|
||||
Handle semantic marker parts before applying the ordinary mapping. In particular, a V1 user message containing a
|
||||
`compaction` part and its paired assistant summary represent one compaction operation, not two ordinary messages. Special
|
||||
part mappings must be decided explicitly before implementing the backfill.
|
||||
|
||||
V1 synthetic content is represented by user text parts with `synthetic: true`, not by a separate message role. A V1 user
|
||||
message whose visible text parts are all synthetic should become a V2 `synthetic` message. If a V1 user message mixes
|
||||
ordinary and synthetic content, preserve the ordinary content in the V2 `user` row and emit the synthetic content as an
|
||||
adjacent V2 `synthetic` row. Ignore text parts marked `ignored`, matching V1 model-history behavior.
|
||||
|
||||
Use the V1 compaction user message ID as the ID of the collapsed V2 compaction message. This matches V2's use of the
|
||||
admitted compaction input ID and preserves references to the initiating message.
|
||||
|
||||
For a completed compaction, create one V2 `compaction` row with `status: "completed"`. Set `reason` from the V1
|
||||
compaction part's `auto` flag, join the paired summary assistant's nonempty text parts with blank lines for `summary`, and
|
||||
serialize the retained V1 tail beginning at `tail_start_id` for `recent`. Use an empty `recent` value when no tail was
|
||||
retained, and use the compaction user message creation time. Do not emit the paired summary assistant as a separate V2
|
||||
assistant row.
|
||||
|
||||
After rebuilding `session_message`, seed `event_sequence` with one row per migrated session. Set its watermark to that
|
||||
session's maximum backfilled `session_message.seq`. This prevents new V2 events from reusing sequence numbers or sorting
|
||||
before migrated history. The `event` table remains empty.
|
||||
|
||||
## Drop
|
||||
|
||||
Drop these pre-launch V2 tables without preserving or transforming their rows:
|
||||
|
||||
- `session_input`
|
||||
- `session_context_epoch`
|
||||
|
||||
Do not transfer `session_input` rows into `session_pending`.
|
||||
|
||||
## Create Empty
|
||||
|
||||
Let the generated migration create these tables empty:
|
||||
|
||||
- `instruction_blob`
|
||||
- `instruction_entry`
|
||||
- `instruction_state`
|
||||
- `session_pending`
|
||||
- `kv`
|
||||
|
||||
V1 has no canonical data to backfill into these tables. V2 initializes their state as it runs.
|
||||
|
||||
## Fork Storage
|
||||
|
||||
V1 has no fork-boundary state to backfill. New V2 forks use a required message boundary and persist it in
|
||||
`session.fork_boundary`. The durable fork event contains no parent sequence. Its resolved boundary is one of:
|
||||
|
||||
- `before`: copy messages before the identified message.
|
||||
- `through`: copy messages through the identified message.
|
||||
|
||||
Forking an empty session is not supported. `session.fork_seq` and `session.fork_message_id` are not part of the final V2
|
||||
schema.
|
||||
|
||||
New nullable session columns, including `fork_session_id`, `fork_boundary`, and `time_suspended`, require no explicit
|
||||
backfill. Existing rows naturally receive `NULL` when the generated migration adds the columns.
|
||||
|
||||
## Verification
|
||||
|
||||
The canonical migration test should seed representative V1 sessions, messages, parts, todos, projects, accounts,
|
||||
credentials, permissions, shares, and workspaces. After migration, it should verify:
|
||||
|
||||
- Preserved rows and encoded values remain unchanged.
|
||||
- Todo rows remain available in the unchanged `todo` table.
|
||||
- `event` is empty, and stale pre-launch rows are absent from the rebuilt projections.
|
||||
- Backfilled `session_message` rows represent the canonical V1 `message` and `part` history.
|
||||
- Each migrated session's `event_sequence` watermark matches its maximum backfilled message sequence.
|
||||
- Dropped tables no longer exist.
|
||||
- New tables exist and are empty.
|
||||
- The final schema has no ungenerated changes.
|
||||
@@ -46,7 +46,7 @@ const response = yield * LLMClient.generate(request)
|
||||
|
||||
`LLM.request(...)` builds an `LLMRequest`. `LLMClient.generate(...)` reads the executable route carried by `request.model.route`, builds the provider-native body, asks the route's transport for a real `HttpClientRequest.HttpClientRequest`, sends it through `RequestExecutor.Service`, parses the provider stream into common `LLMEvent`s, and finally returns an `LLMResponse`.
|
||||
|
||||
Use `LLMClient.stream(request)` when callers want incremental `LLMEvent`s. Use `LLMClient.generate(request)` when callers want those same events collected into an `LLMResponse`.
|
||||
Use `LLMClient.stream(request)` when callers want incremental `LLMEvent`s. Use `LLMClient.generate(request)` when callers want those same events collected into an `LLMResponse`. Use `LLMClient.prepare<Body>(request)` to compile a request through the route pipeline without sending it — the optional `Body` type argument narrows `.body` to the route's native shape (e.g. `prepare<OpenAIChatBody>(...)` returns a `PreparedRequestOf<OpenAIChatBody>`). The runtime body is identical; the generic is a type-level assertion.
|
||||
|
||||
Filter or narrow `LLMEvent` streams with `LLMEvent.is.*` (camelCase guards, e.g. `events.filter(LLMEvent.is.toolCall)`). The kebab-case `LLMEvent.guards["tool-call"]` form also works but prefer `is.*` in new code.
|
||||
|
||||
@@ -138,13 +138,13 @@ packages/ai/src/
|
||||
ids.ts branded IDs, literal types, ProviderMetadata
|
||||
options.ts Generation/Provider/Http options, Limits, Model, cache policy
|
||||
messages.ts content parts, Message, ToolDefinition, LLMRequest
|
||||
events.ts Usage, individual events, LLMEvent, LLMResponse
|
||||
events.ts Usage, individual events, LLMEvent, PreparedRequest, LLMResponse
|
||||
errors.ts error reasons, LLMError, ToolFailure
|
||||
index.ts barrel
|
||||
llm.ts request constructors and convenience helpers
|
||||
route/
|
||||
index.ts @opencode-ai/ai/route advanced barrel
|
||||
client.ts Route.make + LLMClient.stream/generate
|
||||
client.ts Route.make + LLMClient.prepare/stream/generate
|
||||
executor.ts RequestExecutor service + transport error mapping
|
||||
protocol.ts Protocol type + Protocol.make
|
||||
endpoint.ts Endpoint type + Endpoint.path
|
||||
|
||||
@@ -196,6 +196,7 @@ The hosted result is represented as a provider-executed tool call and tool resul
|
||||
- **`LLM.generate` / `LLM.stream`** — re-exported from `LLMClient` for one-import use.
|
||||
- **`Message.user(...)` / `Message.assistant(...)` / `Message.tool(...)`** — message constructors from the canonical schema model.
|
||||
- **`Model.make(...)` / `ToolCallPart.make(...)` / `ToolResultPart.make(...)` / `ToolDefinition.make(...)`** — model and tool-related constructors from the canonical schema model.
|
||||
- **`LLMClient.prepare(request)`** — compile a request through protocol body construction, validation, and HTTP preparation without sending. Useful for inspection and testing.
|
||||
- **`LLMEvent.is.*`** — typed guards (`is.textDelta`, `is.toolCall`, `is.finish`, …) for filtering streams.
|
||||
- **`Image.generate({...})`** — generate images through a provider-neutral image request and response model.
|
||||
- **`ImageClient`** — Effect service and layer for image execution, parallel to `LLMClient`.
|
||||
|
||||
@@ -568,7 +568,7 @@ App boundary = explicit durable-config -> typed-provider call
|
||||
calling `.model(...)`.
|
||||
- [x] Remove request-shaping defaults from `Model`; selected models now carry only
|
||||
id, provider, and configured route while defaults live on routes or requests.
|
||||
- [x] Rework `LLMClient.stream` / `generate` to read
|
||||
- [x] Rework `LLMClient.prepare` / `stream` / `generate` to read
|
||||
`request.model.route` directly instead of calling `registeredRoute(...)`.
|
||||
- [x] Remove `Route.make(...)` global registration from the normal execution
|
||||
path; keep route ids only as diagnostics/provider API labels.
|
||||
|
||||
@@ -50,6 +50,18 @@ const request = LLM.request({
|
||||
},
|
||||
})
|
||||
|
||||
// `http` is intentionally not needed for normal calls. This shows the shape for
|
||||
// newly released provider fields before they deserve a typed provider option.
|
||||
const rawOverlayExample = LLM.request({
|
||||
model,
|
||||
prompt: "Show the final HTTP overlay shape.",
|
||||
http: {
|
||||
body: { metadata: { example: "tutorial" } },
|
||||
headers: { "x-opencode-tutorial": "1" },
|
||||
query: { debug: "1" },
|
||||
},
|
||||
})
|
||||
|
||||
// 3. `generate` sends the request and collects the event stream into one
|
||||
// response object. `response.text` is the collected text output.
|
||||
const generateOnce = Effect.gen(function* () {
|
||||
@@ -210,15 +222,33 @@ const FakeEcho = {
|
||||
}),
|
||||
}
|
||||
|
||||
// `LLMClient.prepare` is the lower-level inspection hook: it compiles through
|
||||
// body conversion, validation, endpoint, auth, and HTTP construction without
|
||||
// sending anything over the network.
|
||||
const inspectFakeProvider = Effect.gen(function* () {
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: FakeEcho.configure().model("tiny-echo"),
|
||||
prompt: "Show me the provider pipeline.",
|
||||
}),
|
||||
)
|
||||
|
||||
console.log("\n== fake provider prepare ==")
|
||||
console.log("route:", prepared.route)
|
||||
console.log("body:", Formatter.formatJson(prepared.body, { space: 2 }))
|
||||
})
|
||||
|
||||
// Provide the LLM runtime and the HTTP request executor once. Keep one path
|
||||
// enabled at a time so the tutorial can demonstrate generate, stream, or
|
||||
// tool-loop behavior without spending tokens on every example.
|
||||
// enabled at a time so the tutorial can demonstrate generate, prepare, stream,
|
||||
// or tool-loop behavior without spending tokens on every example.
|
||||
const requestExecutorLayer = RequestExecutor.fetchLayer
|
||||
const llmDeps = Layer.mergeAll(requestExecutorLayer, WebSocketExecutor.layer)
|
||||
const llmClientLayer = LLMClient.layer.pipe(Layer.provide(llmDeps))
|
||||
|
||||
const program = Effect.gen(function* () {
|
||||
// yield* generateOnce
|
||||
// yield* inspectFakeProvider
|
||||
// yield* LLMClient.prepare(rawOverlayExample).pipe(Effect.andThen((prepared) => Effect.sync(() => console.log(prepared.body))))
|
||||
// yield* streamText
|
||||
// yield* generateStructuredObject
|
||||
// yield* generateDynamicObject.pipe(Effect.andThen((response) => Effect.sync(() => console.log(response.object))))
|
||||
|
||||
+11
-16
@@ -9,28 +9,25 @@ import {
|
||||
LLMRequest,
|
||||
LLMResponse,
|
||||
Message,
|
||||
Model,
|
||||
SystemPart,
|
||||
ToolChoice,
|
||||
ToolDefinition,
|
||||
type ContentPart,
|
||||
type ModelProviderOptions,
|
||||
} from "./schema"
|
||||
import { make as makeTool, toDefinitions, type ToolSchema } from "./tool"
|
||||
|
||||
/** Input accepted by `LLM.request`, normalized into the canonical `LLMRequest` class. */
|
||||
export type RequestInput<SelectedModel extends Model = Model> = Omit<
|
||||
export type RequestInput = Omit<
|
||||
ConstructorParameters<typeof LLMRequest>[0],
|
||||
"model" | "system" | "messages" | "tools" | "toolChoice" | "generation" | "http" | "providerOptions"
|
||||
"system" | "messages" | "tools" | "toolChoice" | "generation" | "http" | "providerOptions"
|
||||
> & {
|
||||
readonly model: SelectedModel
|
||||
readonly system?: string | SystemPart | ReadonlyArray<SystemPart>
|
||||
readonly prompt?: string | ContentPart | ReadonlyArray<ContentPart>
|
||||
readonly messages?: ReadonlyArray<Message | Message.Input>
|
||||
readonly tools?: ReadonlyArray<ToolDefinition.Input>
|
||||
readonly toolChoice?: ToolChoice.Input
|
||||
readonly generation?: GenerationOptions.Input
|
||||
readonly providerOptions?: NoInfer<ModelProviderOptions<SelectedModel>>
|
||||
readonly providerOptions?: ConstructorParameters<typeof LLMRequest>[0]["providerOptions"]
|
||||
readonly http?: HttpOptions.Input
|
||||
}
|
||||
|
||||
@@ -38,7 +35,7 @@ export const generate = LLMClient.generate
|
||||
|
||||
export const stream = LLMClient.stream
|
||||
|
||||
export const request = <const SelectedModel extends Model>(input: RequestInput<SelectedModel>) => {
|
||||
export const request = (input: RequestInput) => {
|
||||
const {
|
||||
system: requestSystem,
|
||||
prompt,
|
||||
@@ -66,7 +63,7 @@ const GENERATE_OBJECT_TOOL_NAME = "generate_object"
|
||||
|
||||
const GENERATE_OBJECT_TOOL_DESCRIPTION = "Return the structured result by calling this tool."
|
||||
|
||||
type GenerateObjectBase<SelectedModel extends Model = Model> = Omit<RequestInput<SelectedModel>, "tools" | "toolChoice">
|
||||
type GenerateObjectBase = Omit<RequestInput, "tools" | "toolChoice">
|
||||
|
||||
export class GenerateObjectResponse<T> {
|
||||
constructor(
|
||||
@@ -83,13 +80,11 @@ export class GenerateObjectResponse<T> {
|
||||
}
|
||||
}
|
||||
|
||||
export interface GenerateObjectOptions<S extends ToolSchema<any>, SelectedModel extends Model = Model>
|
||||
extends GenerateObjectBase<SelectedModel> {
|
||||
export interface GenerateObjectOptions<S extends ToolSchema<any>> extends GenerateObjectBase {
|
||||
readonly schema: S
|
||||
}
|
||||
|
||||
export interface GenerateObjectDynamicOptions<SelectedModel extends Model = Model>
|
||||
extends GenerateObjectBase<SelectedModel> {
|
||||
export interface GenerateObjectDynamicOptions extends GenerateObjectBase {
|
||||
/** Raw JSON Schema object describing the expected output shape. */
|
||||
readonly jsonSchema: JsonSchema.JsonSchema
|
||||
}
|
||||
@@ -142,11 +137,11 @@ const runGenerateObject = Effect.fn("LLM.generateObject")(function* (
|
||||
* 2. `jsonSchema: JsonSchema.JsonSchema` — `.object` is `unknown`. Use when
|
||||
* the schema is only available at runtime (MCP, plugin manifests). Caller validates.
|
||||
*/
|
||||
export function generateObject<const SelectedModel extends Model, S extends ToolSchema<any>>(
|
||||
options: GenerateObjectOptions<S, SelectedModel>,
|
||||
export function generateObject<S extends ToolSchema<any>>(
|
||||
options: GenerateObjectOptions<S>,
|
||||
): Effect.Effect<GenerateObjectResponse<Schema.Schema.Type<S>>, LLMError>
|
||||
export function generateObject<const SelectedModel extends Model>(
|
||||
options: GenerateObjectDynamicOptions<SelectedModel>,
|
||||
export function generateObject(
|
||||
options: GenerateObjectDynamicOptions,
|
||||
): Effect.Effect<GenerateObjectResponse<unknown>, LLMError>
|
||||
export function generateObject(options: GenerateObjectOptions<ToolSchema<any>> | GenerateObjectDynamicOptions) {
|
||||
if ("schema" in options) {
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import type { Model, ProviderOptions } from "./schema"
|
||||
import type { Model } from "./schema"
|
||||
|
||||
export interface Settings extends Readonly<Record<string, unknown>> {
|
||||
readonly headers?: Readonly<Record<string, string>>
|
||||
@@ -9,11 +9,8 @@ export interface Settings extends Readonly<Record<string, unknown>> {
|
||||
}
|
||||
}
|
||||
|
||||
export interface Definition<
|
||||
ProviderSettings extends Settings = Settings,
|
||||
Options extends ProviderOptions = ProviderOptions,
|
||||
> {
|
||||
readonly model: (modelID: string, settings: ProviderSettings) => Model<Options>
|
||||
export interface Definition<ProviderSettings extends Settings = Settings> {
|
||||
readonly model: (modelID: string, settings: ProviderSettings) => Model
|
||||
}
|
||||
|
||||
export * as ProviderPackage from "./provider-package"
|
||||
|
||||
@@ -47,7 +47,7 @@ export const configure = (input: Config) => {
|
||||
})
|
||||
return {
|
||||
id: ProviderID.make(provider),
|
||||
model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
@@ -57,10 +57,7 @@ export const provider = {
|
||||
configure,
|
||||
}
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) => {
|
||||
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({
|
||||
|
||||
@@ -52,10 +52,7 @@ export const configure = (input: Config = {}) => {
|
||||
}
|
||||
|
||||
export const provider = configure()
|
||||
export const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) => {
|
||||
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({
|
||||
|
||||
@@ -99,14 +99,10 @@ export const configure = (input: Config) => {
|
||||
const modelDefaults = defaults(input)
|
||||
|
||||
const responses = (modelID: string | ModelID) =>
|
||||
configuredResponsesRoute
|
||||
.with(withOpenAIOptions(modelID, modelDefaults))
|
||||
.model<OpenAIProviderOptionsInput>({ id: modelID })
|
||||
configuredResponsesRoute.with(withOpenAIOptions(modelID, modelDefaults)).model({ id: modelID })
|
||||
|
||||
const chat = (modelID: string | ModelID) =>
|
||||
configuredChatRoute
|
||||
.with(withOpenAIOptions(modelID, modelDefaults))
|
||||
.model<OpenAIProviderOptionsInput>({ id: modelID })
|
||||
configuredChatRoute.with(withOpenAIOptions(modelID, modelDefaults)).model({ id: modelID })
|
||||
|
||||
return {
|
||||
id,
|
||||
@@ -137,12 +133,8 @@ const config = (settings: Settings): Config => {
|
||||
throw new Error("Azure requires resourceName or baseURL")
|
||||
}
|
||||
|
||||
export const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) => configure(config(settings)).responses(modelID)
|
||||
export const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) => configure(config(settings)).chat(modelID)
|
||||
export const responsesModel: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
|
||||
configure(config(settings)).responses(modelID)
|
||||
export const chatModel: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
|
||||
configure(config(settings)).chat(modelID)
|
||||
export const model = responsesModel
|
||||
|
||||
@@ -4,7 +4,6 @@ import { Auth } from "../route/auth"
|
||||
import { AuthOptions, type AtLeastOne, type ProviderAuthOption } from "../route/auth-options"
|
||||
import type { RouteDefaultsInput } from "../route/client"
|
||||
import { ProviderID, type ModelID } from "../schema"
|
||||
import type { OpenAIProviderOptionsInput } from "./openai-options"
|
||||
|
||||
export const aiGatewayID = ProviderID.make("cloudflare-ai-gateway")
|
||||
export const workersAIID = ProviderID.make("cloudflare-workers-ai")
|
||||
@@ -21,11 +20,10 @@ type GatewayURL = AtLeastOne<{
|
||||
}
|
||||
|
||||
export type AIGatewayOptions = GatewayURL &
|
||||
Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
RouteDefaultsInput &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
/** Cloudflare AI Gateway authentication token. Sent as `cf-aig-authorization`. */
|
||||
readonly gatewayApiKey?: CloudflareSecret
|
||||
readonly providerOptions?: OpenAIProviderOptionsInput
|
||||
}
|
||||
|
||||
type WorkersAIURL = AtLeastOne<{
|
||||
@@ -33,11 +31,7 @@ type WorkersAIURL = AtLeastOne<{
|
||||
readonly baseURL: string
|
||||
}>
|
||||
|
||||
export type WorkersAIOptions = WorkersAIURL &
|
||||
Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
readonly providerOptions?: OpenAIProviderOptionsInput
|
||||
}
|
||||
export type WorkersAIOptions = WorkersAIURL & RouteDefaultsInput & ProviderAuthOption<"optional">
|
||||
|
||||
export const aiGatewayBaseURL = (input: GatewayURL) => {
|
||||
if (input.baseURL) return input.baseURL
|
||||
@@ -104,7 +98,7 @@ const configureAIGateway = (options: AIGatewayOptions) => {
|
||||
})
|
||||
return {
|
||||
id: aiGatewayID,
|
||||
model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID }),
|
||||
configure: configureAIGateway,
|
||||
}
|
||||
}
|
||||
@@ -117,7 +111,7 @@ const configureWorkersAI = (options: WorkersAIOptions) => {
|
||||
})
|
||||
return {
|
||||
id: workersAIID,
|
||||
model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID }),
|
||||
configure: configureWorkersAI,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -50,11 +50,9 @@ export const configure = (options: ModelOptions) => {
|
||||
const responsesRoute = configuredResponsesRoute(options)
|
||||
const chatRoute = configuredChatRoute(options)
|
||||
const responses = (modelID: string | ModelID) =>
|
||||
responsesRoute
|
||||
.with(withOpenAIOptions(modelID, defaults(options)))
|
||||
.model<OpenAIProviderOptionsInput>({ id: modelID })
|
||||
responsesRoute.with(withOpenAIOptions(modelID, defaults(options))).model({ id: modelID })
|
||||
const chat = (modelID: string | ModelID) =>
|
||||
chatRoute.with(withOpenAIOptions(modelID, defaults(options))).model<OpenAIProviderOptionsInput>({ id: modelID })
|
||||
chatRoute.with(withOpenAIOptions(modelID, defaults(options))).model({ id: modelID })
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) =>
|
||||
|
||||
@@ -1,9 +1,8 @@
|
||||
import type { ProviderPackage } from "../provider-package"
|
||||
import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat"
|
||||
import type { RouteDefaultsInput } from "../route/client"
|
||||
import { ProviderID, type ModelID } from "../schema"
|
||||
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
|
||||
import { GoogleVertexShared } from "./google-vertex-shared"
|
||||
import type { OpenAIProviderOptionsInput } from "./openai-options"
|
||||
|
||||
export const id = ProviderID.make("google-vertex")
|
||||
|
||||
@@ -12,7 +11,6 @@ export type Config = RouteDefaultsInput &
|
||||
readonly baseURL?: string
|
||||
readonly location?: string
|
||||
readonly project?: string
|
||||
readonly providerOptions?: OpenAIProviderOptionsInput
|
||||
}
|
||||
|
||||
export interface Settings extends ProviderPackage.Settings {
|
||||
@@ -21,7 +19,7 @@ export interface Settings extends ProviderPackage.Settings {
|
||||
readonly baseURL?: string
|
||||
readonly location?: string
|
||||
readonly project?: string
|
||||
readonly providerOptions?: OpenAIProviderOptionsInput
|
||||
readonly providerOptions?: ProviderOptions
|
||||
}
|
||||
|
||||
const route = OpenAICompatibleChat.route.with({
|
||||
@@ -58,7 +56,7 @@ export const configure = (input: Config = {}) => {
|
||||
const route = configuredRoute(input)
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
@@ -68,7 +66,7 @@ export const provider = {
|
||||
configure,
|
||||
}
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) => {
|
||||
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,
|
||||
|
||||
@@ -91,7 +91,7 @@ export const configure = (input: Config = {}) => {
|
||||
const route = configuredRoute(input)
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
@@ -101,10 +101,7 @@ export const provider = {
|
||||
configure,
|
||||
}
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) => {
|
||||
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,
|
||||
|
||||
@@ -1,9 +1,8 @@
|
||||
import type { ProviderPackage } from "../provider-package"
|
||||
import { OpenAICompatibleResponses } from "../protocols/openai-compatible-responses"
|
||||
import type { RouteDefaultsInput } from "../route/client"
|
||||
import { ProviderID, type ModelID } from "../schema"
|
||||
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
|
||||
import { GoogleVertexShared } from "./google-vertex-shared"
|
||||
import type { OpenResponsesProviderOptionsInput } from "./open-responses-options"
|
||||
|
||||
export const id = ProviderID.make("google-vertex")
|
||||
|
||||
@@ -12,7 +11,6 @@ export type Config = RouteDefaultsInput &
|
||||
readonly baseURL?: string
|
||||
readonly location?: string
|
||||
readonly project?: string
|
||||
readonly providerOptions?: OpenResponsesProviderOptionsInput
|
||||
}
|
||||
|
||||
export interface Settings extends ProviderPackage.Settings {
|
||||
@@ -21,7 +19,7 @@ export interface Settings extends ProviderPackage.Settings {
|
||||
readonly baseURL?: string
|
||||
readonly location?: string
|
||||
readonly project?: string
|
||||
readonly providerOptions?: OpenResponsesProviderOptionsInput
|
||||
readonly providerOptions?: ProviderOptions
|
||||
}
|
||||
|
||||
const route = OpenAICompatibleResponses.route.with({
|
||||
@@ -60,7 +58,7 @@ export const configure = (input: Config = {}) => {
|
||||
const route = configuredRoute(input)
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) => route.model<OpenResponsesProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
@@ -70,10 +68,7 @@ export const provider = {
|
||||
configure,
|
||||
}
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) => {
|
||||
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,
|
||||
|
||||
@@ -77,8 +77,7 @@ const configuredRoute = (input: Config, modelID: string | ModelID) => {
|
||||
export const configure = (input: Config = {}) => {
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) =>
|
||||
configuredRoute(input, modelID).model<Gemini.ProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => configuredRoute(input, modelID).model({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
@@ -87,10 +86,7 @@ export const provider = {
|
||||
id,
|
||||
configure,
|
||||
}
|
||||
export const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) => {
|
||||
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({
|
||||
|
||||
@@ -50,14 +50,14 @@ export const configure = (input: Config = {}) => {
|
||||
})
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) => route.model<Gemini.ProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID }),
|
||||
image,
|
||||
configure,
|
||||
}
|
||||
}
|
||||
|
||||
export const provider = configure()
|
||||
export const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsInput>["model"] = (modelID, settings) =>
|
||||
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
|
||||
configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
|
||||
@@ -36,7 +36,7 @@ export const configure = (input: Config) => {
|
||||
})
|
||||
return {
|
||||
id: ProviderID.make(provider),
|
||||
model: (modelID: string | ModelID) => route.model<OpenResponsesProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
@@ -46,10 +46,7 @@ export const provider = {
|
||||
configure,
|
||||
}
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) =>
|
||||
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
|
||||
configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
|
||||
@@ -4,15 +4,13 @@ import type { RouteDefaultsInput } from "../route/client"
|
||||
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
|
||||
import type { ProviderPackage } from "../provider-package"
|
||||
import { profiles, type OpenAICompatibleProfile } from "./openai-compatible-profile"
|
||||
import type { OpenAIProviderOptionsInput } from "./openai-options"
|
||||
|
||||
export const id = ProviderID.make("openai-compatible")
|
||||
|
||||
type GenericModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
type GenericModelOptions = RouteDefaultsInput &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
readonly provider?: string
|
||||
readonly baseURL: string
|
||||
readonly providerOptions?: OpenAIProviderOptionsInput
|
||||
}
|
||||
|
||||
export interface Settings extends ProviderPackage.Settings {
|
||||
@@ -21,10 +19,9 @@ export interface Settings extends ProviderPackage.Settings {
|
||||
readonly provider?: string
|
||||
}
|
||||
|
||||
export type FamilyModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
export type FamilyModelOptions = RouteDefaultsInput &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
readonly baseURL?: string
|
||||
readonly providerOptions?: OpenAIProviderOptionsInput
|
||||
}
|
||||
|
||||
export const routes = [OpenAICompatibleChat.route]
|
||||
@@ -40,8 +37,7 @@ export const configure = (input: GenericModelOptions) => {
|
||||
})
|
||||
return {
|
||||
id: ProviderID.make(provider),
|
||||
model: (modelID: string | ModelID) =>
|
||||
route.model<OpenAIProviderOptionsInput>({ id: modelID, provider: ProviderID.make(provider) }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID, provider: ProviderID.make(provider) }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
@@ -67,7 +63,7 @@ export const provider = {
|
||||
configure,
|
||||
}
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
|
||||
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
|
||||
configure({
|
||||
apiKey: settings.apiKey,
|
||||
baseURL: settings.baseURL,
|
||||
|
||||
@@ -86,15 +86,10 @@ export const configure = (input: Config = {}) => {
|
||||
const chatRoute = configuredRoute(OpenAIChat.route, input)
|
||||
const modelDefaults = defaults(input)
|
||||
const responses = (id: string | ModelID) =>
|
||||
responsesRoute
|
||||
.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))
|
||||
.model<OpenAIProviderOptionsInput>({ id })
|
||||
responsesRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })
|
||||
const responsesWebSocket = (id: string | ModelID) =>
|
||||
responsesWebSocketRoute
|
||||
.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))
|
||||
.model<OpenAIProviderOptionsInput>({ id })
|
||||
const chat = (id: string | ModelID) =>
|
||||
chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({ id })
|
||||
responsesWebSocketRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })
|
||||
const chat = (id: string | ModelID) => chatRoute.with(withOpenAIOptions(id, modelDefaults)).model({ id })
|
||||
const image = (modelID: string | ModelID) =>
|
||||
OpenAIImages.model({
|
||||
id: modelID,
|
||||
@@ -137,17 +132,15 @@ const config = (settings: Settings): Config => {
|
||||
}
|
||||
}
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) => {
|
||||
export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
|
||||
const configured = configure(config(settings))
|
||||
if (settings.transport === undefined || settings.transport === "http") return configured.responses(modelID)
|
||||
if (settings.transport === "websocket") return configured.responsesWebSocket(modelID)
|
||||
throw new Error(`Unsupported OpenAI Responses transport: ${String(settings.transport)}`)
|
||||
}
|
||||
|
||||
export const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
settings,
|
||||
) => configure(config(settings)).chat(modelID)
|
||||
export const chatModel: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
|
||||
configure(config(settings)).chat(modelID)
|
||||
export const responses = provider.responses
|
||||
export const responsesWebSocket = provider.responsesWebSocket
|
||||
export const chat = provider.chat
|
||||
|
||||
@@ -107,7 +107,7 @@ export const configure = (input: ModelOptions = {}) => {
|
||||
const route = configuredRoute(input)
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) => route.model<OpenRouterProviderOptionsInput>({ id: modelID }),
|
||||
model: (modelID: string | ModelID) => route.model({ id: modelID }),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,14 +5,12 @@ import * as OpenAICompatibleProfiles from "./openai-compatible-profile"
|
||||
import * as OpenAICompatibleChat from "../protocols/openai-compatible-chat"
|
||||
import * as OpenAIResponses from "../protocols/openai-responses"
|
||||
import { XAIImages } from "../protocols/xai-images"
|
||||
import type { OpenAIProviderOptionsInput } from "./openai-options"
|
||||
|
||||
export const id = ProviderID.make("xai")
|
||||
|
||||
export type ModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
export type ModelOptions = RouteDefaultsInput &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
readonly baseURL?: string
|
||||
readonly providerOptions?: OpenAIProviderOptionsInput
|
||||
}
|
||||
|
||||
export type { XAIImageOptions } from "../protocols/xai-images"
|
||||
@@ -44,8 +42,8 @@ const configuredChatRoute = (input: ModelOptions) => {
|
||||
export const configure = (input: ModelOptions = {}) => {
|
||||
const responsesRoute = configuredResponsesRoute(input)
|
||||
const chatRoute = configuredChatRoute(input)
|
||||
const responses = (modelID: string | ModelID) => responsesRoute.model<OpenAIProviderOptionsInput>({ id: modelID })
|
||||
const chat = (modelID: string | ModelID) => chatRoute.model<OpenAIProviderOptionsInput>({ id: modelID })
|
||||
const responses = (modelID: string | ModelID) => responsesRoute.model({ id: modelID })
|
||||
const chat = (modelID: string | ModelID) => chatRoute.model({ id: modelID })
|
||||
const image = (modelID: string | ModelID) =>
|
||||
XAIImages.model({
|
||||
id: modelID,
|
||||
|
||||
@@ -10,7 +10,7 @@ import { WebSocketExecutor } from "./transport"
|
||||
import type { Protocol } from "./protocol"
|
||||
import { applyCachePolicy } from "../cache-policy"
|
||||
import * as ProviderShared from "../protocols/shared"
|
||||
import type { LLMError, ProtocolID, ProviderOptions } from "../schema"
|
||||
import type { LLMError, PreparedRequestOf, ProtocolID, ProviderOptions } from "../schema"
|
||||
import {
|
||||
GenerationOptions,
|
||||
HttpOptions,
|
||||
@@ -20,6 +20,7 @@ import {
|
||||
ModelLimits,
|
||||
LLMError as LLMErrorClass,
|
||||
LLMEvent,
|
||||
PreparedRequest,
|
||||
ProviderID,
|
||||
mergeGenerationOptions,
|
||||
mergeHttpOptions,
|
||||
@@ -45,7 +46,7 @@ export interface Route<Body, Prepared = unknown> {
|
||||
readonly defaults: RouteDefaults
|
||||
readonly body: RouteBody<Body>
|
||||
readonly with: (patch: RoutePatch<Body, Prepared>) => Route<Body, Prepared>
|
||||
readonly model: <Options extends ProviderOptions = ProviderOptions>(input: RouteMappedModelInput) => Model<Options>
|
||||
readonly model: (input: RouteMappedModelInput) => Model
|
||||
readonly prepareTransport: (body: Body, request: LLMRequest) => Effect.Effect<Prepared, LLMError>
|
||||
readonly streamPrepared: (
|
||||
prepared: Prepared,
|
||||
@@ -92,12 +93,12 @@ export interface RoutePatch<Body, Prepared> extends RouteDefaultsInput {
|
||||
|
||||
type RouteMappedModelInput = RouteModelInput | RouteRoutedModelInput
|
||||
|
||||
const makeRouteModel = <Options extends ProviderOptions = ProviderOptions>(route: AnyRoute, mapped: RouteMappedModelInput) => {
|
||||
const makeRouteModel = (route: AnyRoute, mapped: RouteMappedModelInput) => {
|
||||
const provider = route.provider ?? ("provider" in mapped ? mapped.provider : undefined)
|
||||
if (!provider) throw new Error(`Route.model(${route.id}) requires a provider`)
|
||||
if (!endpointBaseURL(route.endpoint))
|
||||
throw new Error(`Route.model(${route.id}) requires an endpoint baseURL — configure it on the route first`)
|
||||
return Model.make<Options>({
|
||||
return Model.make({
|
||||
...mapped,
|
||||
provider,
|
||||
route,
|
||||
@@ -141,6 +142,17 @@ export const httpOptions = (input: HttpOptionsInput | undefined) => {
|
||||
}
|
||||
|
||||
export interface Interface {
|
||||
/**
|
||||
* Compile a request through protocol body construction, validation, and HTTP
|
||||
* preparation without sending it. Returns the prepared request including the
|
||||
* provider-native body.
|
||||
*
|
||||
* Pass a `Body` type argument to statically expose the route's body
|
||||
* shape (e.g. `prepare<OpenAIChatBody>(...)`) — the runtime body is
|
||||
* identical, so this is a type-level assertion the caller makes about which
|
||||
* route the request will resolve to.
|
||||
*/
|
||||
readonly prepare: <Body = unknown>(request: LLMRequest) => Effect.Effect<PreparedRequestOf<Body>, LLMError>
|
||||
readonly stream: StreamMethod
|
||||
readonly generate: GenerateMethod
|
||||
}
|
||||
@@ -284,8 +296,7 @@ function makeFromTransport<Body, Prepared, Frame, Event, State>(
|
||||
defaults: mergeRouteDefaults(route.defaults, defaults),
|
||||
})
|
||||
},
|
||||
model: <Options extends ProviderOptions = ProviderOptions>(input: RouteMappedModelInput) =>
|
||||
makeRouteModel<Options>(route, input),
|
||||
model: (input) => makeRouteModel(route, input),
|
||||
prepareTransport: (body, request) =>
|
||||
routeInput.transport.prepare({
|
||||
body,
|
||||
@@ -359,6 +370,9 @@ export function make<Body, Prepared, Frame, Event, State>(
|
||||
})
|
||||
}
|
||||
|
||||
// `compile` is the important boundary: it turns a common `LLMRequest` into a
|
||||
// validated provider body plus transport-private prepared data, but does not
|
||||
// execute transport.
|
||||
const compile = Effect.fn("LLM.compile")(function* (request: LLMRequest) {
|
||||
const resolved = applyCachePolicy(resolveRequestOptions(request))
|
||||
const route = resolved.model.route
|
||||
@@ -376,17 +390,17 @@ const compile = Effect.fn("LLM.compile")(function* (request: LLMRequest) {
|
||||
}
|
||||
})
|
||||
|
||||
/** @internal Test-only projection of the execution compiler; not exported from package barrels. */
|
||||
export const compileRequest = Effect.fn("LLM.compileRequest")(function* (request: LLMRequest) {
|
||||
const prepareWith = Effect.fn("LLMClient.prepare")(function* (request: LLMRequest) {
|
||||
const compiled = yield* compile(request)
|
||||
return {
|
||||
|
||||
return new PreparedRequest({
|
||||
id: compiled.request.id ?? "request",
|
||||
route: compiled.route.id,
|
||||
protocol: compiled.route.protocol,
|
||||
model: compiled.request.model,
|
||||
body: compiled.body,
|
||||
metadata: { transport: compiled.route.transport.id },
|
||||
}
|
||||
})
|
||||
})
|
||||
|
||||
const streamRequestWith = (runtime: TransportRuntime) => (request: LLMRequest) =>
|
||||
@@ -408,6 +422,9 @@ const generateWith = (stream: Interface["stream"]) =>
|
||||
)
|
||||
})
|
||||
|
||||
export const prepare = <Body = unknown>(request: LLMRequest) =>
|
||||
prepareWith(request) as Effect.Effect<PreparedRequestOf<Body>, LLMError>
|
||||
|
||||
export function stream(request: LLMRequest): Stream.Stream<LLMEvent, LLMError> {
|
||||
return Stream.unwrap(
|
||||
Effect.gen(function* () {
|
||||
@@ -436,7 +453,7 @@ export const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer
|
||||
http: yield* RequestExecutor.Service,
|
||||
webSocket: Option.getOrUndefined(yield* Effect.serviceOption(WebSocketExecutor.Service)),
|
||||
})
|
||||
return Service.of({ stream, generate: generateWith(stream) })
|
||||
return Service.of({ prepare: prepareWith as Interface["prepare"], stream, generate: generateWith(stream) })
|
||||
}),
|
||||
)
|
||||
|
||||
@@ -445,6 +462,7 @@ export const Route = { make } as const
|
||||
export const LLMClient = {
|
||||
Service,
|
||||
layer,
|
||||
prepare,
|
||||
stream,
|
||||
generate,
|
||||
} as const
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import { Schema } from "effect"
|
||||
import { ContentBlockID, FinishReason, ProviderMetadata, ToolCallID } from "./ids"
|
||||
import { ContentBlockID, FinishReason, ProtocolID, ProviderMetadata, RouteID, ToolCallID } from "./ids"
|
||||
import { ModelSchema } from "./options"
|
||||
import { Message, ToolCallPart, ToolOutput, ToolResultPart, ToolResultValue, type ContentPart } from "./messages"
|
||||
import { ProviderFailureClassification } from "./errors"
|
||||
|
||||
@@ -313,6 +314,29 @@ export const LLMEvent = Object.assign(llmEventTagged, {
|
||||
})
|
||||
export type LLMEvent = Schema.Schema.Type<typeof llmEventTagged>
|
||||
|
||||
export class PreparedRequest extends Schema.Class<PreparedRequest>("LLM.PreparedRequest")({
|
||||
id: Schema.String,
|
||||
route: RouteID,
|
||||
protocol: ProtocolID,
|
||||
model: ModelSchema,
|
||||
body: Schema.Unknown,
|
||||
metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
|
||||
}) {}
|
||||
|
||||
/**
|
||||
* A `PreparedRequest` whose `body` is typed as `Body`. Use with the generic
|
||||
* on `LLMClient.prepare<Body>(...)` when the caller knows which route their
|
||||
* request will resolve to and wants its native shape statically exposed
|
||||
* (debug UIs, request previews, plan rendering).
|
||||
*
|
||||
* The runtime body is identical — the route still emits `body: unknown` — so
|
||||
* this is a type-level assertion the caller makes about what they expect to
|
||||
* find. The prepare runtime does not validate the assertion.
|
||||
*/
|
||||
export type PreparedRequestOf<Body> = Omit<PreparedRequest, "body"> & {
|
||||
readonly body: Body
|
||||
}
|
||||
|
||||
const responseText = (events: ReadonlyArray<LLMEvent>) =>
|
||||
events
|
||||
.filter(LLMEvent.is.textDelta)
|
||||
|
||||
@@ -178,8 +178,7 @@ export namespace ModelCompatibility {
|
||||
export const make = (input: Input) => (input instanceof ModelCompatibility ? input : new ModelCompatibility(input))
|
||||
}
|
||||
|
||||
export class Model<Options extends ProviderOptions = ProviderOptions> {
|
||||
declare protected readonly _ProviderOptions: Options
|
||||
export class Model {
|
||||
readonly id: ModelID
|
||||
readonly provider: ProviderID
|
||||
readonly route: AnyRoute
|
||||
@@ -194,8 +193,8 @@ export class Model<Options extends ProviderOptions = ProviderOptions> {
|
||||
this.compatibility = input.compatibility
|
||||
}
|
||||
|
||||
static make<Options extends ProviderOptions = ProviderOptions>(input: Model.Input) {
|
||||
return new Model<Options>({
|
||||
static make(input: Model.Input) {
|
||||
return new Model({
|
||||
id: ModelID.make(input.id),
|
||||
provider: ProviderID.make(input.provider),
|
||||
route: input.route,
|
||||
@@ -204,7 +203,7 @@ export class Model<Options extends ProviderOptions = ProviderOptions> {
|
||||
})
|
||||
}
|
||||
|
||||
static input<Options extends ProviderOptions>(model: Model<Options>): Model.ConstructorInput {
|
||||
static input(model: Model): Model.ConstructorInput {
|
||||
return {
|
||||
id: model.id,
|
||||
provider: model.provider,
|
||||
@@ -214,9 +213,9 @@ export class Model<Options extends ProviderOptions = ProviderOptions> {
|
||||
}
|
||||
}
|
||||
|
||||
static update<Options extends ProviderOptions>(model: Model<Options>, patch: Partial<Model.Input>) {
|
||||
static update(model: Model, patch: Partial<Model.Input>) {
|
||||
if (Object.keys(patch).length === 0) return model
|
||||
return Model.make<Options>({
|
||||
return Model.make({
|
||||
...Model.input(model),
|
||||
...patch,
|
||||
})
|
||||
@@ -242,8 +241,6 @@ export namespace Model {
|
||||
|
||||
export type ModelInput = Model.Input
|
||||
|
||||
export type ModelProviderOptions<SelectedModel> = SelectedModel extends Model<infer Options> ? Options : never
|
||||
|
||||
export const ModelSchema = Schema.declare((value): value is Model => value instanceof Model, { expected: "LLM.Model" })
|
||||
|
||||
export class CacheHint extends Schema.Class<CacheHint>("LLM.CacheHint")({
|
||||
|
||||
@@ -99,6 +99,7 @@ export const layer = (options: LayerOptions = {}) =>
|
||||
)
|
||||
}) as LLMClientShape["stream"]
|
||||
const client = LLMClient.Service.of({
|
||||
prepare: () => Effect.die("TestLLM does not prepare provider-native requests"),
|
||||
stream,
|
||||
generate: (request) =>
|
||||
stream(request).pipe(
|
||||
|
||||
@@ -2,7 +2,6 @@ import { describe, expect } from "bun:test"
|
||||
import { Effect, Schema, Stream } from "effect"
|
||||
import { LLM, LLMRequest, LLMResponse } from "../src"
|
||||
import { Route, Endpoint, LLMClient, Protocol, type FramingDef } from "../src/route"
|
||||
import { compileRequest } from "../src/route/client"
|
||||
import { Model } from "../src/schema"
|
||||
import { testEffect } from "./lib/effect"
|
||||
import { dynamicResponse } from "./lib/http"
|
||||
@@ -140,7 +139,8 @@ describe("llm route", () => {
|
||||
|
||||
it.effect("selects routes by model route value", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const llm = yield* LLMClient.Service
|
||||
const prepared = yield* llm.prepare(
|
||||
LLMRequest.update(request, { model: updateModel(request.model, { route: configuredGemini }) }),
|
||||
)
|
||||
|
||||
@@ -173,7 +173,7 @@ describe("llm route", () => {
|
||||
framing: fakeFraming,
|
||||
})
|
||||
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* (yield* LLMClient.Service).prepare(
|
||||
LLMRequest.update(request, { model: updateModel(request.model, { route: duplicate }) }),
|
||||
)
|
||||
|
||||
|
||||
@@ -1,8 +1,7 @@
|
||||
import { describe, expect, test } from "bun:test"
|
||||
import { Effect } from "effect"
|
||||
import { CacheHint, LLM, Message } from "../src"
|
||||
import { Auth } from "../src/route"
|
||||
import { compileRequest } from "../src/route/client"
|
||||
import { Auth, LLMClient } from "../src/route"
|
||||
import { AmazonBedrock } from "../src/providers"
|
||||
import * as AnthropicMessages from "../src/protocols/anthropic-messages"
|
||||
import * as Gemini from "../src/protocols/gemini"
|
||||
@@ -32,7 +31,7 @@ const geminiModel = Gemini.route
|
||||
describe("applyCachePolicy", () => {
|
||||
it.effect("undefined cache resolves to 'auto' (the recommended default)", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: anthropicModel,
|
||||
system: "You are concise.",
|
||||
@@ -51,7 +50,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("'auto' marks the last tool, first and last system parts, and final message boundary on Anthropic", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: anthropicModel,
|
||||
system: [
|
||||
@@ -88,7 +87,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("'auto' is a no-op on OpenAI (implicit caching protocol)", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: openaiModel,
|
||||
system: "Sys",
|
||||
@@ -107,7 +106,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("'auto' is a no-op on Gemini (out-of-band caching protocol)", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: geminiModel,
|
||||
system: "Sys",
|
||||
@@ -124,7 +123,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("'auto' on Bedrock emits cachePoint markers in the right places", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: bedrockModel,
|
||||
system: [
|
||||
@@ -158,7 +157,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("'none' disables auto placement even when manual hints exist", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: anthropicModel,
|
||||
system: "Sys",
|
||||
@@ -177,7 +176,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("granular object form: tools-only marks just tools", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: anthropicModel,
|
||||
system: "Sys",
|
||||
@@ -196,7 +195,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("auto policy preserves manual CacheHints on other parts", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: anthropicModel,
|
||||
system: [
|
||||
@@ -242,7 +241,7 @@ describe("applyCachePolicy", () => {
|
||||
expect("cache" in tail ? tail.cache : undefined).toBeUndefined()
|
||||
expect(applyCachePolicy(applied)).toBe(applied)
|
||||
|
||||
const prepared = yield* compileRequest(request)
|
||||
const prepared = yield* LLMClient.prepare(request)
|
||||
|
||||
const body = prepared.body as {
|
||||
tools: Array<{ cache_control?: unknown }>
|
||||
@@ -262,7 +261,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("ttlSeconds in the policy flows through to wire markers", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: anthropicModel,
|
||||
system: "Sys",
|
||||
@@ -279,7 +278,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("messages: { tail: 2 } marks the last 2 message boundaries", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: anthropicModel,
|
||||
messages: [Message.user("u1"), Message.assistant("a1"), Message.user("u2"), Message.assistant("a2")],
|
||||
@@ -297,7 +296,7 @@ describe("applyCachePolicy", () => {
|
||||
|
||||
it.effect("'latest-assistant' marks the last assistant message", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: anthropicModel,
|
||||
messages: [Message.user("u1"), Message.assistant("a1"), Message.user("u2")],
|
||||
|
||||
@@ -1,47 +0,0 @@
|
||||
import { Schema } from "effect"
|
||||
import { LLM, type Model, type ModelProviderOptions, type ProviderOptions } from "../src"
|
||||
import { OpenAIChat } from "../src/protocols"
|
||||
|
||||
interface ExampleOptions {
|
||||
readonly [key: string]: unknown
|
||||
readonly mode?: "fast" | "thorough"
|
||||
}
|
||||
|
||||
type ExampleProviderOptions = ProviderOptions & {
|
||||
readonly example?: ExampleOptions
|
||||
}
|
||||
|
||||
const model = OpenAIChat.route
|
||||
.with({ endpoint: { baseURL: "https://example.com/v1" } })
|
||||
.model<ExampleProviderOptions>({ id: "example" })
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { example: { mode: "fast" } } })
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { future: { option: true } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Known provider options preserve their value types.
|
||||
providerOptions: { example: { mode: "slow" } },
|
||||
})
|
||||
|
||||
LLM.generateObject({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
schema: Schema.Struct({ answer: Schema.String }),
|
||||
providerOptions: { example: { mode: "thorough" } },
|
||||
})
|
||||
|
||||
LLM.generateObject({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
jsonSchema: { type: "object" },
|
||||
// @ts-expect-error Dynamic object generation uses the selected model's provider options.
|
||||
providerOptions: { example: { mode: false } },
|
||||
})
|
||||
|
||||
declare const generic: Model
|
||||
LLM.request({ model: generic, prompt: "Hello", providerOptions: { arbitrary: { option: true } } })
|
||||
|
||||
const options: ModelProviderOptions<typeof model> = { example: { mode: "fast" } }
|
||||
void options
|
||||
@@ -4,7 +4,6 @@ import { HttpClientRequest } from "effect/unstable/http"
|
||||
import { LLM, mergeProviderOptions } from "../src"
|
||||
import { AnthropicMessages, OpenAIChat } from "../src/protocols"
|
||||
import { Auth, LLMClient } from "../src/route"
|
||||
import { compileRequest } from "../src/route/client"
|
||||
import { it } from "./lib/effect"
|
||||
import { dynamicResponse } from "./lib/http"
|
||||
import { deltaChunk } from "./lib/openai-chunks"
|
||||
@@ -45,7 +44,7 @@ describe("request option precedence", () => {
|
||||
})
|
||||
})
|
||||
|
||||
it.effect("compiles bodies with route defaults, model defaults, and call options in order", () =>
|
||||
it.effect("prepares bodies with route defaults, model defaults, and call options in order", () =>
|
||||
Effect.gen(function* () {
|
||||
const route = OpenAIChat.route.with({
|
||||
endpoint: { baseURL: "https://api.openai.test/v1/" },
|
||||
@@ -60,7 +59,7 @@ describe("request option precedence", () => {
|
||||
providerOptions: { openai: { reasoningEffort: "medium" } },
|
||||
},
|
||||
})
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Say hello.",
|
||||
@@ -142,7 +141,7 @@ describe("request option precedence", () => {
|
||||
const model = OpenAIChat.route
|
||||
.with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
|
||||
.model({ id: "gpt-4o-mini" })
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Say hello.",
|
||||
@@ -165,8 +164,10 @@ describe("request option precedence", () => {
|
||||
limits: { output: 128 },
|
||||
})
|
||||
const model = route.model({ id: "claude-sonnet-4-5", defaults: { limits: { output: 64 } } })
|
||||
const withoutMaxTokens = yield* compileRequest(LLM.request({ model, prompt: "Say hello.", cache: "none" }))
|
||||
const withMaxTokens = yield* compileRequest(
|
||||
const withoutMaxTokens = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({ model, prompt: "Say hello.", cache: "none" }),
|
||||
)
|
||||
const withMaxTokens = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({ model, prompt: "Say hello.", cache: "none", generation: { maxTokens: 32 } }),
|
||||
)
|
||||
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { AnthropicCompatible } from "../../src/providers"
|
||||
|
||||
const model = AnthropicCompatible.configure({ baseURL: "https://example.com" }).model("claude")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { anthropic: { effort: "high" } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Anthropic effort must be a string.
|
||||
providerOptions: { anthropic: { effort: 1 } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { Anthropic } from "../../src/providers"
|
||||
|
||||
const model = Anthropic.provider.model("claude-sonnet-4-5")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { anthropic: { thinking: { type: "adaptive" } } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Anthropic thinking modes are a fixed union.
|
||||
providerOptions: { anthropic: { thinking: { type: "automatic" } } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { Azure } from "../../src/providers"
|
||||
|
||||
const model = Azure.configure({ resourceName: "example" }).responses("deployment")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openai: { store: false } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Azure OpenAI store must be boolean.
|
||||
providerOptions: { openai: { store: "false" } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { CloudflareWorkersAI } from "../../src/providers"
|
||||
|
||||
const model = CloudflareWorkersAI.configure({ accountId: "account", apiKey: "test" }).model("model")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openai: { promptCacheKey: "cache" } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Cloudflare's OpenAI-compatible prompt cache key must be a string.
|
||||
providerOptions: { openai: { promptCacheKey: 1 } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { GitHubCopilot } from "../../src/providers"
|
||||
|
||||
const model = GitHubCopilot.configure({ baseURL: "https://example.com" }).model("gpt-5")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openai: { reasoningSummary: "auto" } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Copilot reasoning summaries use the OpenAI union.
|
||||
providerOptions: { openai: { reasoningSummary: "full" } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { GoogleVertexChat } from "../../src/providers"
|
||||
|
||||
const model = GoogleVertexChat.configure({ accessToken: "test", project: "project" }).model("gemini")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openai: { serviceTier: "priority" } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Vertex OpenAI-compatible service tiers use the OpenAI union.
|
||||
providerOptions: { openai: { serviceTier: "premium" } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { GoogleVertexMessages } from "../../src/providers"
|
||||
|
||||
const model = GoogleVertexMessages.configure({ accessToken: "test", project: "project" }).model("claude")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { anthropic: { effort: "medium" } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Vertex Anthropic effort must be a string.
|
||||
providerOptions: { anthropic: { effort: false } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { GoogleVertexResponses } from "../../src/providers"
|
||||
|
||||
const model = GoogleVertexResponses.configure({ accessToken: "test", project: "project" }).model("gemini")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openresponses: { textVerbosity: "high" } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Vertex Responses verbosity uses the Open Responses union.
|
||||
providerOptions: { openresponses: { textVerbosity: "verbose" } },
|
||||
})
|
||||
@@ -1,17 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { GoogleVertex } from "../../src/providers"
|
||||
|
||||
const model = GoogleVertex.provider.configure({ apiKey: "test" }).model("gemini-2.5-pro")
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
providerOptions: { gemini: { thinkingConfig: { includeThoughts: true } } },
|
||||
})
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Vertex Gemini includeThoughts must be boolean.
|
||||
providerOptions: { gemini: { thinkingConfig: { includeThoughts: "yes" } } },
|
||||
})
|
||||
@@ -1,17 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { Google } from "../../src/providers"
|
||||
|
||||
const model = Google.provider.model("gemini-2.5-pro")
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 1024 } } },
|
||||
})
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Gemini thinking budgets must be numeric.
|
||||
providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "large" } } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { OpenAICompatibleResponses } from "../../src/providers"
|
||||
|
||||
const model = OpenAICompatibleResponses.configure({ baseURL: "https://example.com" }).model("model")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openresponses: { reasoningSummary: "detailed" } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error Open Responses reasoning summaries use a fixed union.
|
||||
providerOptions: { openresponses: { reasoningSummary: "full" } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { OpenAICompatible } from "../../src/providers"
|
||||
|
||||
const model = OpenAICompatible.deepseek.model("deepseek-chat")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openai: { store: false } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error OpenAI-compatible store must be boolean.
|
||||
providerOptions: { openai: { store: "false" } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { OpenAI } from "../../src/providers"
|
||||
|
||||
const model = OpenAI.responses("gpt-5")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openai: { reasoningEffort: "high" } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error OpenAI reasoning effort must be a string.
|
||||
providerOptions: { openai: { reasoningEffort: 1 } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { OpenRouter } from "../../src/providers"
|
||||
|
||||
const model = OpenRouter.provider.model("anthropic/claude-sonnet-4.5")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openrouter: { usage: true } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error OpenRouter usage must be boolean or an option record.
|
||||
providerOptions: { openrouter: { usage: "yes" } },
|
||||
})
|
||||
@@ -1,13 +0,0 @@
|
||||
import { LLM } from "../../src"
|
||||
import { XAI } from "../../src/providers"
|
||||
|
||||
const model = XAI.provider.model("grok-4")
|
||||
|
||||
LLM.request({ model, prompt: "Hello", providerOptions: { openai: { reasoningEffort: "high" } } })
|
||||
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Hello",
|
||||
// @ts-expect-error xAI's OpenAI-compatible reasoning effort must be a string.
|
||||
providerOptions: { openai: { reasoningEffort: true } },
|
||||
})
|
||||
@@ -3,7 +3,6 @@ import { Effect } from "effect"
|
||||
import { HttpClientRequest } from "effect/unstable/http"
|
||||
import { CacheHint, LLM, LLMError, LLMRequest, Message, ToolCallPart, ToolDefinition, Usage } from "../../src"
|
||||
import { Auth, LLMClient } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import * as AnthropicMessages from "../../src/protocols/anthropic-messages"
|
||||
import { continuationRequest, nativeAnthropicMessagesContinuation } from "../continuation-scenarios"
|
||||
import { it } from "../lib/effect"
|
||||
@@ -45,7 +44,7 @@ const expectToolResult = (body: AnthropicMessages.AnthropicMessagesBody): Anthro
|
||||
describe("Anthropic Messages route", () => {
|
||||
it.effect("prepares Anthropic Messages target", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(request)
|
||||
const prepared = yield* LLMClient.prepare(request)
|
||||
|
||||
expect(prepared.body).toEqual({
|
||||
model: "claude-sonnet-4-5",
|
||||
@@ -60,7 +59,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("lowers adaptive thinking settings with effort", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLMRequest.update(request, {
|
||||
providerOptions: {
|
||||
anthropic: { thinking: { type: "adaptive", display: "summarized" }, effort: "low" },
|
||||
@@ -77,17 +76,17 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("normalizes enabled and disabled thinking settings", () =>
|
||||
Effect.gen(function* () {
|
||||
const enabled = yield* compileRequest(
|
||||
const enabled = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLMRequest.update(request, {
|
||||
providerOptions: { anthropic: { thinking: { type: "enabled", budgetTokens: 1_024 } } },
|
||||
}),
|
||||
)
|
||||
const legacy = yield* compileRequest(
|
||||
const legacy = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLMRequest.update(request, {
|
||||
providerOptions: { anthropic: { thinking: { type: "enabled", budget_tokens: 2_048 } } },
|
||||
}),
|
||||
)
|
||||
const disabled = yield* compileRequest(
|
||||
const disabled = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLMRequest.update(request, {
|
||||
providerOptions: { anthropic: { thinking: { type: "disabled" } } },
|
||||
}),
|
||||
@@ -101,7 +100,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("rejects enabled thinking without a budget", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLMRequest.update(request, {
|
||||
providerOptions: { anthropic: { thinking: { type: "enabled" } } },
|
||||
}),
|
||||
@@ -113,7 +112,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("lowers chronological system updates natively for Claude Opus 4.8 with cache hints", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({
|
||||
model: opus48,
|
||||
messages: [
|
||||
@@ -138,7 +137,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("lowers chronological system updates to wrapped user text for unsupported Anthropic models", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -165,7 +164,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("rejects non-text chronological system update content before send", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: opus48,
|
||||
messages: [
|
||||
@@ -182,7 +181,7 @@ describe("Anthropic Messages route", () => {
|
||||
it.effect("falls back for unsupported native chronological system update placement", () =>
|
||||
Effect.gen(function* () {
|
||||
expect(
|
||||
(yield* compileRequest(
|
||||
(yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({
|
||||
model: opus48,
|
||||
messages: [Message.assistant("Plain."), Message.system("After plain assistant.")],
|
||||
@@ -197,11 +196,12 @@ describe("Anthropic Messages route", () => {
|
||||
},
|
||||
])
|
||||
expect(
|
||||
(yield* compileRequest(LLM.request({ model: opus48, messages: [Message.system("First.")], cache: "none" })))
|
||||
.body.messages,
|
||||
(yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({ model: opus48, messages: [Message.system("First.")], cache: "none" }),
|
||||
)).body.messages,
|
||||
).toEqual([{ role: "user", content: [{ type: "text", text: "<system-update>\nFirst.\n</system-update>" }] }])
|
||||
expect(
|
||||
(yield* compileRequest(
|
||||
(yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({
|
||||
model: opus48,
|
||||
messages: [Message.user("Before."), Message.system("One."), Message.system("Two.")],
|
||||
@@ -223,7 +223,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("rejects a system update between a local tool call and its result", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: opus48,
|
||||
messages: [
|
||||
@@ -242,7 +242,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("prepares tool call and tool result messages", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({
|
||||
id: "req_tool_result",
|
||||
model,
|
||||
@@ -273,7 +273,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("keeps tools and sends tool_choice none", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({
|
||||
id: "req_tool_choice_none",
|
||||
model,
|
||||
@@ -303,7 +303,7 @@ describe("Anthropic Messages route", () => {
|
||||
// not JSON-stringified into `tool_result.content`.
|
||||
it.effect("lowers media tool-result content as structured blocks", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({
|
||||
id: "req_tool_result_image",
|
||||
model,
|
||||
@@ -335,7 +335,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("lowers single-image tool-result content as a structured image block", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({
|
||||
id: "req_tool_result_image_only",
|
||||
model,
|
||||
@@ -360,7 +360,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("rejects unsupported media in tool-result content with a clear error", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_tool_result_unsupported_media",
|
||||
model,
|
||||
@@ -384,7 +384,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("prepares the composed native continuation request", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
continuationRequest({
|
||||
id: "req_native_continuation_anthropic",
|
||||
model,
|
||||
@@ -428,7 +428,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("lowers preserved Anthropic reasoning signature metadata", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -447,7 +447,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("round-trips redacted thinking as redacted_thinking blocks", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -628,7 +628,9 @@ describe("Anthropic Messages route", () => {
|
||||
{ type: "reasoning", text: "", providerMetadata: { anthropic: { signature: "sig_1" } } },
|
||||
])
|
||||
|
||||
const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message], cache: "none" }))
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({ model, messages: [response.message], cache: "none" }),
|
||||
)
|
||||
expect(prepared.body.messages).toEqual([
|
||||
{ role: "assistant", content: [{ type: "thinking", thinking: "", signature: "sig_1" }] },
|
||||
])
|
||||
@@ -771,7 +773,7 @@ describe("Anthropic Messages route", () => {
|
||||
),
|
||||
),
|
||||
)
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -1131,7 +1133,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("round-trips provider-executed assistant content into server tool blocks", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_round_trip",
|
||||
model,
|
||||
@@ -1182,7 +1184,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("rejects round-trip for unknown server tool names", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_unknown_server_tool",
|
||||
model,
|
||||
@@ -1259,7 +1261,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("maps ttlSeconds >= 3600 to cache_control ttl: '1h'", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
system: { type: "text", text: "system", cache: new CacheHint({ type: "ephemeral", ttlSeconds: 3600 }) },
|
||||
@@ -1275,7 +1277,7 @@ describe("Anthropic Messages route", () => {
|
||||
|
||||
it.effect("emits cache_control on tool definitions and tool-result blocks", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
tools: [
|
||||
@@ -1316,7 +1318,7 @@ describe("Anthropic Messages route", () => {
|
||||
it.effect("drops cache_control breakpoints past the 4-per-request cap", () =>
|
||||
Effect.gen(function* () {
|
||||
const hint = new CacheHint({ type: "ephemeral" })
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
system: [
|
||||
@@ -1342,7 +1344,7 @@ describe("Anthropic Messages route", () => {
|
||||
it.effect("spends breakpoint budget on tools before system before messages", () =>
|
||||
Effect.gen(function* () {
|
||||
const hint = new CacheHint({ type: "ephemeral" })
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
tools: [
|
||||
|
||||
@@ -13,7 +13,6 @@ import {
|
||||
ToolDefinition,
|
||||
} from "../../src"
|
||||
import { LLMClient } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import { AmazonBedrock } from "../../src/providers"
|
||||
import * as BedrockConverse from "../../src/protocols/bedrock-converse"
|
||||
import { it } from "../lib/effect"
|
||||
@@ -102,7 +101,7 @@ const baseRequest = LLM.request({
|
||||
describe("Bedrock Converse route", () => {
|
||||
it.effect("prepares Converse target with system, inference config, and messages", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(baseRequest)
|
||||
const prepared = yield* LLMClient.prepare(baseRequest)
|
||||
|
||||
expect(prepared.body).toEqual({
|
||||
modelId: "anthropic.claude-3-5-sonnet-20240620-v1:0",
|
||||
@@ -115,7 +114,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("passes topK through additionalModelRequestFields as top_k", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
|
||||
LLMRequest.update(baseRequest, {
|
||||
generation: GenerationOptions.make({ maxTokens: 64, temperature: 0, topK: 40 }),
|
||||
}),
|
||||
@@ -130,14 +129,14 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("omits additionalModelRequestFields when topK is unset", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(baseRequest)
|
||||
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(baseRequest)
|
||||
expect(prepared.body.additionalModelRequestFields).toBeUndefined()
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("lowers chronological system updates to wrapped user text in order", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [Message.user("Before."), Message.system("Update."), Message.assistant("After.")],
|
||||
@@ -154,7 +153,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("prepares tool config with toolSpec and toolChoice", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLMRequest.update(baseRequest, {
|
||||
tools: [
|
||||
ToolDefinition.make({
|
||||
@@ -188,7 +187,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("keeps tools and omits the unsupported choice when tool choice is none", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLMRequest.update(baseRequest, {
|
||||
tools: [
|
||||
ToolDefinition.make({
|
||||
@@ -218,7 +217,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("lowers assistant tool-call + tool-result message history", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_history",
|
||||
model,
|
||||
@@ -257,7 +256,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("lowers image content in tool-result messages", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_tool_image",
|
||||
model,
|
||||
@@ -492,7 +491,7 @@ describe("Bedrock Converse route", () => {
|
||||
providerMetadata: { bedrock: { signature: "sig_1" } },
|
||||
})
|
||||
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -547,7 +546,9 @@ describe("Bedrock Converse route", () => {
|
||||
},
|
||||
])
|
||||
|
||||
const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message], cache: "none" }))
|
||||
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
|
||||
LLM.request({ model, messages: [response.message], cache: "none" }),
|
||||
)
|
||||
expect(prepared.body.messages).toEqual([
|
||||
{
|
||||
role: "assistant",
|
||||
@@ -638,7 +639,7 @@ describe("Bedrock Converse route", () => {
|
||||
text: "",
|
||||
providerMetadata: { bedrock: { redactedData } },
|
||||
})
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -753,7 +754,7 @@ describe("Bedrock Converse route", () => {
|
||||
secretAccessKey: "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY",
|
||||
},
|
||||
}).model("anthropic.claude-3-5-sonnet-20240620-v1:0")
|
||||
const prepared = yield* compileRequest(LLMRequest.update(baseRequest, { model: signed }))
|
||||
const prepared = yield* LLMClient.prepare(LLMRequest.update(baseRequest, { model: signed }))
|
||||
|
||||
expect(prepared.route).toBe("bedrock-converse")
|
||||
expect(prepared.model).toBe(signed)
|
||||
@@ -763,7 +764,7 @@ describe("Bedrock Converse route", () => {
|
||||
it.effect("emits cachePoint markers after system, user-text, and assistant-text with cache hints", () =>
|
||||
Effect.gen(function* () {
|
||||
const cache = new CacheHint({ type: "ephemeral" })
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_cache",
|
||||
model,
|
||||
@@ -795,7 +796,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("does not emit cachePoint when no cache hint is set", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(baseRequest)
|
||||
const prepared = yield* LLMClient.prepare(baseRequest)
|
||||
expect(prepared.body).toMatchObject({
|
||||
system: [{ text: "You are concise." }],
|
||||
messages: [{ role: "user", content: [{ text: "Say hello." }] }],
|
||||
@@ -805,7 +806,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("lowers image media into Bedrock image blocks", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_image",
|
||||
model,
|
||||
@@ -842,7 +843,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("base64-encodes Uint8Array image bytes", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_image_bytes",
|
||||
model,
|
||||
@@ -864,7 +865,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("lowers document media into Bedrock document blocks with format and name", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_doc",
|
||||
model,
|
||||
@@ -896,7 +897,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("requires names for document media", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [Message.user({ type: "media", mediaType: "application/pdf", data: "UERGREFUQQ==" })],
|
||||
@@ -909,7 +910,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("passes named document-only messages through for provider validation", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
cache: "none",
|
||||
@@ -935,7 +936,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("lowers document media in tool results", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
cache: "none",
|
||||
@@ -987,7 +988,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("rejects unsupported image media types", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_bad_image",
|
||||
model,
|
||||
@@ -1001,7 +1002,7 @@ describe("Bedrock Converse route", () => {
|
||||
|
||||
it.effect("rejects unsupported document media types", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_bad_doc",
|
||||
model,
|
||||
@@ -1016,7 +1017,7 @@ describe("Bedrock Converse route", () => {
|
||||
it.effect("maps ttlSeconds >= 3600 to cachePoint ttl: '1h'", () =>
|
||||
Effect.gen(function* () {
|
||||
const cache = new CacheHint({ type: "ephemeral", ttlSeconds: 3600 })
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
system: [{ type: "text", text: "system", cache }],
|
||||
@@ -1033,7 +1034,7 @@ describe("Bedrock Converse route", () => {
|
||||
it.effect("appends cachePoint after marked tool definitions and tool-result blocks", () =>
|
||||
Effect.gen(function* () {
|
||||
const cache = new CacheHint({ type: "ephemeral" })
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
tools: [{ name: "lookup", description: "lookup", inputSchema: { type: "object", properties: {} }, cache }],
|
||||
@@ -1065,7 +1066,7 @@ describe("Bedrock Converse route", () => {
|
||||
it.effect("drops cachePoint markers past the 4-per-request cap", () =>
|
||||
Effect.gen(function* () {
|
||||
const cache = new CacheHint({ type: "ephemeral" })
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
system: [
|
||||
|
||||
@@ -3,7 +3,7 @@ import { ConfigProvider, Effect, Schema } from "effect"
|
||||
import { HttpClientRequest } from "effect/unstable/http"
|
||||
import { LLM, LLMEvent } from "../../src"
|
||||
import { CloudflareAIGateway, CloudflareWorkersAI } from "../../src/providers/cloudflare"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import { LLMClient } from "../../src/route"
|
||||
import { it } from "../lib/effect"
|
||||
import { dynamicResponse } from "../lib/http"
|
||||
import { sseEvents } from "../lib/sse"
|
||||
@@ -34,7 +34,7 @@ describe("Cloudflare", () => {
|
||||
})
|
||||
expect(model.route.endpoint.baseURL).toBe("https://gateway.ai.cloudflare.com/v1/test-account/test-gateway/compat")
|
||||
|
||||
const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
|
||||
const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Say hello." }))
|
||||
|
||||
expect(prepared.route).toBe("cloudflare-ai-gateway")
|
||||
expect(prepared.body).toMatchObject({
|
||||
@@ -129,7 +129,7 @@ describe("Cloudflare", () => {
|
||||
openai: { reasoningField: "reasoning", reasoningDetails: merged },
|
||||
})
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare(LLM.request({ model, messages: [response.message] }))
|
||||
expect(replay.body.messages).toEqual([
|
||||
{ role: "assistant", content: "Hello", reasoning: "Thinking", reasoning_details: merged },
|
||||
])
|
||||
@@ -180,7 +180,7 @@ describe("Cloudflare", () => {
|
||||
|
||||
it.effect("allows a fully configured baseURL override", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: CloudflareAIGateway.configure({
|
||||
baseURL: "https://gateway.proxy.test/v1/custom/compat",
|
||||
@@ -208,7 +208,7 @@ describe("Cloudflare", () => {
|
||||
})
|
||||
expect(model.route.endpoint.baseURL).toBe("https://api.cloudflare.com/client/v4/accounts/test-account/ai/v1")
|
||||
|
||||
const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
|
||||
const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Say hello." }))
|
||||
|
||||
expect(prepared.route).toBe("cloudflare-workers-ai")
|
||||
expect(prepared.body).toMatchObject({
|
||||
|
||||
@@ -2,7 +2,6 @@ import { describe, expect } from "bun:test"
|
||||
import { Effect } from "effect"
|
||||
import { LLM, LLMError, LLMRequest, Message, ToolCallPart, ToolDefinition, Usage } from "../../src"
|
||||
import { Auth, LLMClient } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import * as Gemini from "../../src/protocols/gemini"
|
||||
import { ProviderShared } from "../../src/protocols/shared"
|
||||
import { it } from "../lib/effect"
|
||||
@@ -27,7 +26,7 @@ const request = LLM.request({
|
||||
describe("Gemini route", () => {
|
||||
it.effect("prepares Gemini target", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(request)
|
||||
const prepared = yield* LLMClient.prepare(request)
|
||||
|
||||
expect(prepared.body).toEqual({
|
||||
contents: [{ role: "user", parts: [{ text: "Say hello." }] }],
|
||||
@@ -39,12 +38,12 @@ describe("Gemini route", () => {
|
||||
|
||||
it.effect("normalizes Gemini thinking options", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
|
||||
LLMRequest.update(request, {
|
||||
providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 0, includeThoughts: false } } },
|
||||
}),
|
||||
)
|
||||
const filtered = yield* compileRequest(
|
||||
const filtered = yield* LLMClient.prepare<Gemini.GeminiBody>(
|
||||
LLMRequest.update(request, {
|
||||
providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "invalid", includeThoughts: false } } },
|
||||
}),
|
||||
@@ -60,7 +59,7 @@ describe("Gemini route", () => {
|
||||
|
||||
it.effect("lowers chronological system updates to wrapped user text in order", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [Message.user("Before."), Message.system("Update."), Message.assistant("After.")],
|
||||
@@ -76,7 +75,7 @@ describe("Gemini route", () => {
|
||||
|
||||
it.effect("prepares multimodal user input and tool history", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_tool_result",
|
||||
model,
|
||||
@@ -144,7 +143,7 @@ describe("Gemini route", () => {
|
||||
|
||||
it.effect("continues media tool results as inline model input without base64 text", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -189,7 +188,7 @@ describe("Gemini route", () => {
|
||||
|
||||
it.effect("strips matching data URLs to raw base64 inlineData", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -230,7 +229,7 @@ describe("Gemini route", () => {
|
||||
] as const)
|
||||
it.effect(`rejects ${name}`, () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({ model, messages: [Message.user({ type: "media", ...media })] }),
|
||||
).pipe(Effect.flip)
|
||||
expect(error.message).toMatch(/does not support|does not match|valid base64/)
|
||||
@@ -239,7 +238,7 @@ describe("Gemini route", () => {
|
||||
|
||||
it.effect("rejects oversized image input", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -257,7 +256,7 @@ describe("Gemini route", () => {
|
||||
|
||||
it.effect("keeps tools and sends function calling mode NONE", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_tool_choice_none",
|
||||
model,
|
||||
@@ -277,7 +276,7 @@ describe("Gemini route", () => {
|
||||
|
||||
it.effect("sanitizes integer enums, dangling required, untyped arrays, and scalar object keys", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_schema_patch",
|
||||
model,
|
||||
@@ -458,7 +457,7 @@ describe("Gemini route", () => {
|
||||
response.events.findIndex((event) => event.type === "tool-call"),
|
||||
)
|
||||
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -692,7 +691,7 @@ describe("Gemini route", () => {
|
||||
|
||||
it.effect("rejects unsupported assistant media content", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_media",
|
||||
model,
|
||||
|
||||
@@ -4,7 +4,6 @@ import { HttpClientRequest } from "effect/unstable/http"
|
||||
import { LLM } from "../../src"
|
||||
import { GoogleVertex, GoogleVertexChat, GoogleVertexMessages, GoogleVertexResponses } from "../../src/providers"
|
||||
import { LLMClient } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import { it } from "../lib/effect"
|
||||
import { dynamicResponse } from "../lib/http"
|
||||
import { deltaChunk, finishChunk } from "../lib/openai-chunks"
|
||||
@@ -183,7 +182,7 @@ describe("Google Vertex providers", () => {
|
||||
|
||||
it.effect("protects the Vertex Messages API version from body overlays", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: GoogleVertexMessages.configure({
|
||||
accessToken: "vertex-token",
|
||||
|
||||
@@ -5,7 +5,6 @@ import { OpenAIChat } from "../../src/protocols/openai-chat"
|
||||
import * as OpenAICompatible from "../../src/providers/openai-compatible"
|
||||
import * as OpenRouter from "../../src/providers/openrouter"
|
||||
import { LLMClient } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import { recordedTests } from "../recorded-test"
|
||||
import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop } from "../recorded-scenarios"
|
||||
|
||||
@@ -85,7 +84,9 @@ for (const item of cases) {
|
||||
),
|
||||
).toBe(true)
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model: item.model, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({ model: item.model, messages: [response.message] }),
|
||||
)
|
||||
expect(replay.body.messages).toMatchObject([
|
||||
{ role: "assistant", content: response.text, reasoning: response.reasoning },
|
||||
])
|
||||
|
||||
@@ -18,7 +18,6 @@ import * as OpenAI from "../../src/providers/openai"
|
||||
import * as OpenAIChat from "../../src/protocols/openai-chat"
|
||||
import { ProviderShared } from "../../src/protocols/shared"
|
||||
import { Auth, LLMClient } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import { it } from "../lib/effect"
|
||||
import { dynamicResponse, fixedResponse, truncatedStream } from "../lib/http"
|
||||
import { deltaChunk, usageChunk } from "../lib/openai-chunks"
|
||||
@@ -43,7 +42,11 @@ const request = LLM.request({
|
||||
describe("OpenAI Chat route", () => {
|
||||
it.effect("prepares OpenAI Chat payload", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(request)
|
||||
// Pass the OpenAIChat payload type so `prepared.body` is statically
|
||||
// typed to the route's native shape — the assertions below read field
|
||||
// names without `unknown` casts.
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(request)
|
||||
const _typed: { readonly model: string; readonly stream: true } = prepared.body
|
||||
|
||||
expect(prepared.body).toEqual({
|
||||
model: "gpt-4o-mini",
|
||||
@@ -61,7 +64,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("lowers chronological system updates to escaped user wrappers in order", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -84,7 +87,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("replays canonical reasoning as OpenAI-compatible reasoning_content", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -102,7 +105,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("writes reasoning to a configured custom field on every assistant message", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model: Model.update(model, { compatibility: { reasoningField: "vendor_reasoning" } }),
|
||||
messages: [
|
||||
@@ -128,7 +131,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("rejects reasoning fields that conflict with assistant message fields", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: Model.update(model, { compatibility: { reasoningField: "content" } }),
|
||||
messages: [Message.assistant([{ type: "reasoning", text: "thinking" }])],
|
||||
@@ -141,7 +144,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("maps OpenAI provider options to Chat options", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).chat("gpt-4o-mini"),
|
||||
prompt: "think",
|
||||
@@ -156,7 +159,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("passes through custom OpenAI-compatible reasoning effort strings", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "think",
|
||||
@@ -250,7 +253,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("prepares assistant tool-call and tool-result messages", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_tool_result",
|
||||
model,
|
||||
@@ -288,7 +291,7 @@ describe("OpenAI Chat route", () => {
|
||||
it.effect("preserves structured tool errors for the model", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = { error: { type: "unknown", message: "Tool execution interrupted" } }
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -308,7 +311,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("continues image tool results as vision input without base64 text", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -352,7 +355,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("orders parallel tool responses before one aggregated vision message", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -402,7 +405,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("aggregates consecutive tool images with a following system update", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -443,7 +446,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("appends system updates without replacing multipart user content", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -471,7 +474,7 @@ describe("OpenAI Chat route", () => {
|
||||
] as const)
|
||||
it.effect(`rejects ${name}`, () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({ model, messages: [Message.user({ type: "media", ...media })] }),
|
||||
).pipe(Effect.flip)
|
||||
expect(error.message).toMatch(/does not support|does not match|valid base64/)
|
||||
@@ -480,7 +483,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("rejects oversized image input", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -498,7 +501,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("prepares raw and data URL image media as vision input", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
id: "req_media",
|
||||
model,
|
||||
@@ -525,7 +528,7 @@ describe("OpenAI Chat route", () => {
|
||||
|
||||
it.effect("lowers reasoning-only assistant history", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
id: "req_reasoning",
|
||||
model,
|
||||
@@ -616,7 +619,9 @@ describe("OpenAI Chat route", () => {
|
||||
openai: { reasoningField: field },
|
||||
})
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({ model, messages: [response.message] }),
|
||||
)
|
||||
expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", [field]: "thinking" }])
|
||||
}
|
||||
}),
|
||||
@@ -642,7 +647,9 @@ describe("OpenAI Chat route", () => {
|
||||
openai: { reasoningField: "vendor_reasoning" },
|
||||
})
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model: custom, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({ model: custom, messages: [response.message] }),
|
||||
)
|
||||
expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", vendor_reasoning: "thinking" }])
|
||||
}),
|
||||
)
|
||||
@@ -685,7 +692,9 @@ describe("OpenAI Chat route", () => {
|
||||
openai: { reasoningField: "reasoning", reasoningDetails: details },
|
||||
})
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({ model, messages: [response.message] }),
|
||||
)
|
||||
expect(replay.body.messages).toEqual([
|
||||
{
|
||||
role: "assistant",
|
||||
@@ -728,7 +737,9 @@ describe("OpenAI Chat route", () => {
|
||||
openai: { reasoningDetails: details },
|
||||
})
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({ model, messages: [response.message] }),
|
||||
)
|
||||
expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", reasoning_details: details }])
|
||||
}),
|
||||
)
|
||||
@@ -753,7 +764,9 @@ describe("OpenAI Chat route", () => {
|
||||
openai: { reasoningField: "reasoning", reasoningDetails: details },
|
||||
})
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({ model, messages: [response.message] }),
|
||||
)
|
||||
expect(replay.body.messages).toEqual([
|
||||
{ role: "assistant", content: "Hello", reasoning: "thinking", reasoning_details: details },
|
||||
])
|
||||
@@ -826,7 +839,9 @@ describe("OpenAI Chat route", () => {
|
||||
openai: { reasoningDetails: [] },
|
||||
})
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({ model, messages: [response.message] }),
|
||||
)
|
||||
expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", reasoning_details: [] }])
|
||||
}),
|
||||
)
|
||||
@@ -874,7 +889,9 @@ describe("OpenAI Chat route", () => {
|
||||
response.events.findIndex(LLMEvent.is.textStart),
|
||||
)
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({ model, messages: [response.message] }),
|
||||
)
|
||||
expect(replay.body.messages).toEqual([
|
||||
{ role: "assistant", content: "Hello", reasoning: "thinking", reasoning_details: merged },
|
||||
])
|
||||
@@ -901,7 +918,9 @@ describe("OpenAI Chat route", () => {
|
||||
expect(response.events.filter(LLMEvent.is.reasoningStart)).toHaveLength(1)
|
||||
expect(response.events.filter(LLMEvent.is.reasoningEnd)).toHaveLength(1)
|
||||
|
||||
const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({ model, messages: [response.message] }),
|
||||
)
|
||||
expect(replay.body.messages).toEqual([{ role: "assistant", content: null, reasoning_details: details }])
|
||||
}),
|
||||
)
|
||||
@@ -931,7 +950,7 @@ describe("OpenAI Chat route", () => {
|
||||
Effect.gen(function* () {
|
||||
const first = { type: "reasoning.text", text: "first", signature: "signed-0", index: 0 }
|
||||
const second = { type: "reasoning.text", text: "second", signature: "signed-1", index: 1 }
|
||||
const replay = yield* compileRequest(
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -960,7 +979,7 @@ describe("OpenAI Chat route", () => {
|
||||
it.effect("retains scalar replay for mixed structured reasoning parts", () =>
|
||||
Effect.gen(function* () {
|
||||
const detail = { type: "reasoning.encrypted", data: "opaque", index: 0 }
|
||||
const replay = yield* compileRequest(
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -985,7 +1004,7 @@ describe("OpenAI Chat route", () => {
|
||||
it.effect("replays native scalar reasoning alongside native details", () =>
|
||||
Effect.gen(function* () {
|
||||
const details = [{ type: "reasoning.encrypted", data: "opaque", index: 0 }]
|
||||
const replay = yield* compileRequest(
|
||||
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
|
||||
@@ -3,7 +3,6 @@ import { Effect, Schema } from "effect"
|
||||
import { HttpClientRequest } from "effect/unstable/http"
|
||||
import { LLM, LLMRequest, Message, ToolCallPart, ToolChoice, ToolDefinition } from "../../src"
|
||||
import { Auth, LLMClient } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import * as OpenAICompatible from "../../src/providers/openai-compatible"
|
||||
import * as OpenAICompatibleChat from "../../src/protocols/openai-compatible-chat"
|
||||
import { it } from "../lib/effect"
|
||||
@@ -53,7 +52,7 @@ const providerFamilies = [
|
||||
describe("OpenAI-compatible Chat route", () => {
|
||||
it.effect("prepares generic Chat target", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLMRequest.update(request, {
|
||||
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
|
||||
toolChoice: ToolChoice.make({ type: "required" }),
|
||||
@@ -128,7 +127,7 @@ describe("OpenAI-compatible Chat route", () => {
|
||||
|
||||
it.effect("matches AI SDK compatible basic request body fixture", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(request)
|
||||
const prepared = yield* LLMClient.prepare(request)
|
||||
|
||||
expect(prepared.body).toEqual({
|
||||
model: "deepseek-chat",
|
||||
@@ -146,7 +145,7 @@ describe("OpenAI-compatible Chat route", () => {
|
||||
|
||||
it.effect("matches AI SDK compatible tool request body fixture", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_tool_parity",
|
||||
model,
|
||||
|
||||
@@ -7,7 +7,6 @@ import { OpenResponses } from "../../src/protocols/open-responses"
|
||||
import { OpenAICompatibleResponses } from "../../src/protocols/openai-compatible-responses"
|
||||
import { OpenAIResponses } from "../../src/protocols/openai-responses"
|
||||
import { LLMClient } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import { it } from "../lib/effect"
|
||||
import { fixedResponse } from "../lib/http"
|
||||
import { sseEvents } from "../lib/sse"
|
||||
@@ -24,7 +23,7 @@ describe("Open Responses-compatible route", () => {
|
||||
baseURL: "https://responses.example.test/v1",
|
||||
provider: "example",
|
||||
}).model("example-model")
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
system: "You are concise.",
|
||||
@@ -62,7 +61,7 @@ describe("Open Responses-compatible route", () => {
|
||||
apiKey: "test-key",
|
||||
baseURL: "https://responses.example.test/v1",
|
||||
}).model("example-model")
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({ model, prompt: "Draw.", tools: [OpenAI.imageGeneration()] }),
|
||||
).pipe(Effect.flip)
|
||||
|
||||
@@ -77,7 +76,7 @@ describe("Open Responses-compatible route", () => {
|
||||
apiKey: "test-key",
|
||||
baseURL: "https://responses.example.test/v1",
|
||||
}).model("example-model")
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -103,7 +102,7 @@ describe("Open Responses-compatible route", () => {
|
||||
baseURL: "https://responses.example.test/v1",
|
||||
providerOptions: { openresponses: { reasoningEffort: "low", store: true } },
|
||||
}).model("example-model")
|
||||
const prepared = yield* compileRequest(LLM.request({ model, prompt: "Think." }))
|
||||
const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Think." }))
|
||||
|
||||
expect(prepared.body).toMatchObject({
|
||||
reasoning: { effort: "low" },
|
||||
|
||||
@@ -14,7 +14,6 @@ import {
|
||||
Usage,
|
||||
} from "../../src"
|
||||
import { Auth, LLMClient, RequestExecutor, WebSocketExecutor } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import * as Azure from "../../src/providers/azure"
|
||||
import * as OpenAI from "../../src/providers/openai"
|
||||
import * as XAI from "../../src/providers/xai"
|
||||
@@ -57,7 +56,7 @@ const expectToolOutput = (body: OpenAIResponses.OpenAIResponsesBody): OpenAITool
|
||||
describe("OpenAI Responses route", () => {
|
||||
it.effect("prepares OpenAI Responses target", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(request)
|
||||
const prepared = yield* LLMClient.prepare(request)
|
||||
|
||||
expect(prepared.body).toEqual({
|
||||
model: "gpt-4.1-mini",
|
||||
@@ -75,7 +74,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("lowers the hosted OpenAI image generation tool", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Show me a rooftop garden.",
|
||||
@@ -93,7 +92,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("rejects invalid hosted image generation options locally", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Show me a rooftop garden.",
|
||||
@@ -110,7 +109,7 @@ describe("OpenAI Responses route", () => {
|
||||
Effect.gen(function* () {
|
||||
const input = LLMRequest.update(request, { providerOptions: { openai: { serviceTier: "priority" } } })
|
||||
expect(input.providerOptions).toEqual({ openai: { serviceTier: "priority" } })
|
||||
const prepared = yield* compileRequest(input)
|
||||
const prepared = yield* LLMClient.prepare(input)
|
||||
|
||||
expect(prepared.body).toMatchObject({ service_tier: "priority" })
|
||||
expect(prepared.body).not.toHaveProperty("serviceTier")
|
||||
@@ -119,7 +118,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("passes through custom OpenAI reasoning effort strings", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLMRequest.update(request, { providerOptions: { openai: { reasoningEffort: "experimental" } } }),
|
||||
)
|
||||
|
||||
@@ -129,7 +128,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("omits unsupported semantic service tiers", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLMRequest.update(request, { providerOptions: { openai: { serviceTier: "unsupported" } } }),
|
||||
)
|
||||
|
||||
@@ -139,7 +138,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("flattens top-level object unions in function schemas", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLMRequest.update(request, {
|
||||
tools: [
|
||||
ToolDefinition.make({
|
||||
@@ -192,7 +191,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("lowers chronological system updates to escaped user wrappers in order", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -218,7 +217,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("prepares OpenAI Responses WebSocket target", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLMRequest.update(request, {
|
||||
model: OpenAIResponses.webSocketRoute
|
||||
.with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
|
||||
@@ -396,7 +395,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("prepares function call and function output input items", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_tool_result",
|
||||
model,
|
||||
@@ -433,7 +432,7 @@ describe("OpenAI Responses route", () => {
|
||||
content: [],
|
||||
structured: {},
|
||||
}
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -454,7 +453,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("keeps primitive tool errors as plain text", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -470,7 +469,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("keeps non-JSON tool errors as plain text", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -488,7 +487,7 @@ describe("OpenAI Responses route", () => {
|
||||
// image data is not JSON-stringified into `function_call_output.output`.
|
||||
it.effect("lowers image tool-result content as structured input_image items", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
id: "req_tool_result_image",
|
||||
model,
|
||||
@@ -517,7 +516,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("lowers single-image tool-result content as structured input_image array", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
id: "req_tool_result_image_only",
|
||||
model,
|
||||
@@ -541,7 +540,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("lowers PDF tool-result content as structured input_file array", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
id: "req_tool_result_pdf",
|
||||
model,
|
||||
@@ -576,7 +575,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("uses xAI inline file encoding for PDF tool results", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model: xaiModel,
|
||||
messages: [
|
||||
@@ -611,7 +610,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("rejects unsupported media in tool-result content with a clear error", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_tool_result_unsupported_media",
|
||||
model,
|
||||
@@ -634,7 +633,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("prepares the composed native continuation request", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
continuationRequest({
|
||||
id: "req_native_continuation_openai",
|
||||
model,
|
||||
@@ -676,7 +675,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("maps OpenAI provider options to Responses options", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).model("gpt-5.2"),
|
||||
prompt: "think",
|
||||
@@ -701,7 +700,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("accepts the full ResponseIncludable union", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "hi",
|
||||
@@ -723,7 +722,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("filters unknown includable values out of the include array", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "hi",
|
||||
@@ -740,7 +739,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("treats an explicit empty include as no include at all", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({ model, prompt: "hi", providerOptions: { openai: { include: [] } } }),
|
||||
)
|
||||
|
||||
@@ -750,7 +749,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("treats an all-invalid include as no include at all", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({ model, prompt: "hi", providerOptions: { openai: { include: ["bogus.thing"] } } }),
|
||||
)
|
||||
|
||||
@@ -760,7 +759,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("omits include when no include is set", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({ model, prompt: "hi", providerOptions: { openai: { store: false } } }),
|
||||
)
|
||||
|
||||
@@ -774,7 +773,7 @@ describe("OpenAI Responses route", () => {
|
||||
// reasoningSummary: "auto" by default. Without `include`, a follow-up
|
||||
// turn cannot replay reasoning state, so the facade also opts into
|
||||
// `reasoning.encrypted_content` automatically.
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).responses("gpt-5.2"),
|
||||
prompt: "hi",
|
||||
@@ -789,7 +788,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("lets callers opt out of the GPT-5 default include", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).responses("gpt-5.2"),
|
||||
prompt: "hi",
|
||||
@@ -803,7 +802,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("request OpenAI provider options override route defaults", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model: OpenAI.configure({
|
||||
baseURL: "https://api.openai.test/v1/",
|
||||
@@ -935,7 +934,9 @@ describe("OpenAI Responses route", () => {
|
||||
},
|
||||
])
|
||||
|
||||
const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({ model, messages: [response.message] }),
|
||||
)
|
||||
expect(prepared.body.input).toEqual([
|
||||
{
|
||||
role: "assistant",
|
||||
@@ -1269,7 +1270,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("preserves assistant content order around reasoning items", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
id: "req_reasoning_order",
|
||||
model,
|
||||
@@ -1307,7 +1308,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("references stored reasoning items by id", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -1329,7 +1330,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("references stored provider-executed hosted tool results by id", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -1366,7 +1367,7 @@ describe("OpenAI Responses route", () => {
|
||||
it.effect("continues stateless hosted image generation with the generated image", () =>
|
||||
Effect.gen(function* () {
|
||||
const imageTool = OpenAI.imageGeneration({ action: "edit" })
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
messages: [
|
||||
@@ -1407,7 +1408,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("joins streamed summary blocks into one continuation reasoning item", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
id: "req_multi_summary_continuation",
|
||||
model,
|
||||
@@ -1444,7 +1445,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("skips non-persisted reasoning ids without encrypted state", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_reasoning_without_encrypted_state",
|
||||
model,
|
||||
@@ -1761,7 +1762,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("lowers user image and PDF content", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
id: "req_media",
|
||||
model,
|
||||
@@ -1792,7 +1793,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("uses xAI inline file encoding for user PDFs", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
|
||||
LLM.request({
|
||||
model: xaiModel,
|
||||
messages: [
|
||||
@@ -1824,7 +1825,7 @@ describe("OpenAI Responses route", () => {
|
||||
|
||||
it.effect("rejects unsupported user media content", () =>
|
||||
Effect.gen(function* () {
|
||||
const error = yield* compileRequest(
|
||||
const error = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
id: "req_media",
|
||||
model,
|
||||
|
||||
@@ -2,7 +2,6 @@ import { describe, expect } from "bun:test"
|
||||
import { Effect } from "effect"
|
||||
import { LLM, Message } from "../../src"
|
||||
import { LLMClient } from "../../src/route"
|
||||
import { compileRequest } from "../../src/route/client"
|
||||
import * as OpenRouter from "../../src/providers/openrouter"
|
||||
import { it } from "../lib/effect"
|
||||
import { fixedResponse } from "../lib/http"
|
||||
@@ -20,7 +19,7 @@ describe("OpenRouter", () => {
|
||||
})
|
||||
expect(model.route.endpoint.baseURL).toBe("https://openrouter.ai/api/v1")
|
||||
|
||||
const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
|
||||
const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Say hello." }))
|
||||
|
||||
expect(prepared.route).toBe("openrouter")
|
||||
expect(prepared.body).toMatchObject({
|
||||
@@ -33,7 +32,7 @@ describe("OpenRouter", () => {
|
||||
|
||||
it.effect("applies OpenRouter payload options from the model helper", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare(
|
||||
LLM.request({
|
||||
model: OpenRouter.configure({
|
||||
apiKey: "test-key",
|
||||
@@ -101,7 +100,7 @@ describe("OpenRouter", () => {
|
||||
{ type: "reasoning.text", signature: "signed", format: "anthropic-claude-v1", index: 0 },
|
||||
{ type: "reasoning.encrypted", data: "opaque", format: "openai-responses-v1", index: 1 },
|
||||
]
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
|
||||
LLM.request({
|
||||
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
|
||||
messages: [
|
||||
@@ -134,7 +133,7 @@ describe("OpenRouter", () => {
|
||||
{ type: "reasoning.encrypted", id: "state", data: "opaque" },
|
||||
{ type: "reasoning.encrypted", id: "state", data: "opaque" },
|
||||
]
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
|
||||
LLM.request({
|
||||
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
|
||||
messages: [
|
||||
@@ -159,7 +158,7 @@ describe("OpenRouter", () => {
|
||||
{ type: "reasoning.text", id: "first", index: 0, text: "A", opaque: "first" },
|
||||
{ type: "reasoning.text", id: "second", index: 1, text: "B", opaque: "second" },
|
||||
]
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
|
||||
LLM.request({
|
||||
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
|
||||
messages: [
|
||||
@@ -180,7 +179,7 @@ describe("OpenRouter", () => {
|
||||
|
||||
it.effect("omits scalar reasoning without continuation details", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
|
||||
LLM.request({
|
||||
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
|
||||
messages: [Message.assistant({ type: "reasoning", text: "Thinking" })],
|
||||
|
||||
@@ -3,8 +3,7 @@ import { Effect } from "effect"
|
||||
import { LLM } from "../src"
|
||||
import { OpenAIChat } from "../src/protocols"
|
||||
import { ToolSchemaProjection } from "../src/protocols/utils/tool-schema"
|
||||
import { Auth } from "../src/route"
|
||||
import { compileRequest } from "../src/route/client"
|
||||
import { Auth, LLMClient } from "../src/route"
|
||||
import { it } from "./lib/effect"
|
||||
|
||||
describe("tool schema projections", () => {
|
||||
@@ -80,7 +79,7 @@ describe("tool schema projections", () => {
|
||||
const model = OpenAIChat.route
|
||||
.with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
|
||||
.model({ id: "kimi-k2", compatibility: { toolSchema: "moonshot" } })
|
||||
const prepared = yield* compileRequest(
|
||||
const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
|
||||
LLM.request({
|
||||
model,
|
||||
prompt: "Use the tool.",
|
||||
|
||||
@@ -69,7 +69,7 @@ export const DialogFork: Component = () => {
|
||||
const dir = base64Encode(sdk().directory)
|
||||
|
||||
sdk()
|
||||
.api.session.fork({ sessionID, boundary: { type: "before", messageID: item.id } })
|
||||
.api.session.fork({ sessionID, messageID: item.id })
|
||||
.then((forked) => {
|
||||
dialog.close()
|
||||
prompt.set(restored, undefined, { dir, id: forked.id })
|
||||
|
||||
@@ -129,8 +129,8 @@ export const loadProjectsQuery = (scope: ServerScope, api: ProjectApi) =>
|
||||
api.list().then((projects) => {
|
||||
return projects
|
||||
.filter((p) => !!p?.id)
|
||||
.map(normalizeProjectInfo)
|
||||
.filter((p) => !!p.worktree && !p.worktree.includes("opencode-test"))
|
||||
.map(normalizeProjectInfo)
|
||||
.slice()
|
||||
.sort((a, b) => cmp(a.id, b.id))
|
||||
}),
|
||||
|
||||
@@ -168,7 +168,6 @@ export function sanitizeProject(project: Project) {
|
||||
export function normalizeProjectInfo(project: Project | CurrentProject): Project {
|
||||
return {
|
||||
...project,
|
||||
worktree: "canonical" in project ? project.canonical : project.worktree,
|
||||
vcs: project.vcs === "git" ? "git" : undefined,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -26,6 +26,7 @@ function setup(
|
||||
return new Response(undefined, { status: 204 })
|
||||
if (request.method === "POST" && request.url.endsWith("/prompt")) {
|
||||
return Response.json({
|
||||
admittedSeq: 1,
|
||||
id: "msg_1",
|
||||
sessionID: "ses_1",
|
||||
timeCreated: 1,
|
||||
|
||||
@@ -128,7 +128,7 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
|
||||
const located = <T>(data: T, value?: { directory?: string }) => ({
|
||||
location: {
|
||||
directory: directory(value) ?? "",
|
||||
project: { id: "", directory: directory(value) ?? "", canonical: directory(value) ?? "" },
|
||||
project: { id: "", directory: directory(value) ?? "" },
|
||||
},
|
||||
data,
|
||||
})
|
||||
@@ -229,6 +229,7 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
|
||||
],
|
||||
})
|
||||
return {
|
||||
admittedSeq: 0,
|
||||
id: value.id ?? "",
|
||||
sessionID: value.sessionID,
|
||||
timeCreated: Date.now(),
|
||||
@@ -254,6 +255,7 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
|
||||
})),
|
||||
})
|
||||
return {
|
||||
admittedSeq: 0,
|
||||
id: value.id ?? "",
|
||||
sessionID: value.sessionID,
|
||||
timeCreated: Date.now(),
|
||||
@@ -278,6 +280,7 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
|
||||
modelID: value.model.modelID,
|
||||
})
|
||||
return {
|
||||
admittedSeq: 0,
|
||||
id: value.id ?? "",
|
||||
sessionID: value.sessionID,
|
||||
timeCreated: Date.now(),
|
||||
@@ -298,19 +301,12 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
|
||||
project: {
|
||||
...input.current.project,
|
||||
async list() {
|
||||
return ((await legacy().project.list()).data ?? []).map((project) => ({
|
||||
...project,
|
||||
canonical: project.worktree,
|
||||
}))
|
||||
return ((await legacy().project.list()).data ?? []) as Project[]
|
||||
},
|
||||
async current(value?: Parameters<ServerApi["project"]["current"]>[0]) {
|
||||
const result = await legacy(value?.location).project.current()
|
||||
if (!result.data) throw new Error("Project not found")
|
||||
return {
|
||||
id: result.data.id,
|
||||
directory: result.data.worktree,
|
||||
canonical: result.data.worktree,
|
||||
} satisfies ProjectCurrent
|
||||
return { id: result.data.id, directory: result.data.worktree } satisfies ProjectCurrent
|
||||
},
|
||||
// async update(value: Parameters<ServerApi["project"]["update"]>[0]) {
|
||||
// const project = (await legacy().project.list()).data?.find((item) => item.id === value.projectID)
|
||||
|
||||
@@ -56,16 +56,6 @@
|
||||
"@lydell/node-pty-linux-x64": "1.2.0-beta.12",
|
||||
"@lydell/node-pty-win32-arm64": "1.2.0-beta.12",
|
||||
"@lydell/node-pty-win32-x64": "1.2.0-beta.12",
|
||||
"@ff-labs/fff-bin-darwin-arm64": "0.10.1",
|
||||
"@ff-labs/fff-bin-linux-arm64-gnu": "0.10.1",
|
||||
"@ff-labs/fff-bin-linux-x64-gnu": "0.10.1",
|
||||
"@ff-labs/fff-bin-win32-arm64": "0.10.1",
|
||||
"@ff-labs/fff-bin-win32-x64": "0.10.1",
|
||||
"@yuuang/ffi-rs-darwin-arm64": "1.3.2",
|
||||
"@yuuang/ffi-rs-linux-arm64-gnu": "1.3.2",
|
||||
"@yuuang/ffi-rs-linux-x64-gnu": "1.3.2",
|
||||
"@yuuang/ffi-rs-win32-arm64-msvc": "1.3.2",
|
||||
"@yuuang/ffi-rs-win32-x64-msvc": "1.3.2",
|
||||
"@parcel/watcher-darwin-arm64": "2.5.1",
|
||||
"@parcel/watcher-linux-arm64-glibc": "2.5.1",
|
||||
"@parcel/watcher-linux-x64-glibc": "2.5.1",
|
||||
|
||||
@@ -5,7 +5,6 @@ import { rm } from "fs/promises"
|
||||
import path from "path"
|
||||
import { Script } from "@opencode-ai/script"
|
||||
import { createSolidTransformPlugin } from "@opentui/solid/bun-plugin"
|
||||
import type { BunPlugin } from "bun"
|
||||
import pkg from "../package.json"
|
||||
import { modelsData } from "./generate"
|
||||
|
||||
@@ -23,7 +22,7 @@ await rm(outdir, { recursive: true, force: true })
|
||||
const singleFlag = process.argv.includes("--single")
|
||||
const baselineFlag = process.argv.includes("--baseline")
|
||||
const skipInstall = process.argv.includes("--skip-install")
|
||||
const solidPlugin = createSolidTransformPlugin()
|
||||
const plugin = createSolidTransformPlugin()
|
||||
|
||||
const allTargets: {
|
||||
os: string
|
||||
@@ -56,16 +55,6 @@ const targets = singleFlag
|
||||
if (!skipInstall) await $`bun install --os="*" --cpu="*" @opentui/core@${pkg.dependencies["@opentui/core"]}`
|
||||
|
||||
for (const item of targets) {
|
||||
const parcelWatcherPackage = `@parcel/watcher-${item.os}-${item.arch}${item.os === "linux" ? `-${item.abi ?? "glibc"}` : ""}`
|
||||
const parcelWatcherPlugin: BunPlugin = {
|
||||
name: "parcel-watcher-binding",
|
||||
setup(build) {
|
||||
build.onLoad({ filter: /filesystem\/watcher-binding\.ts$/ }, () => ({
|
||||
contents: `import binding from ${JSON.stringify(parcelWatcherPackage)}; export default () => binding`,
|
||||
loader: "js",
|
||||
}))
|
||||
},
|
||||
}
|
||||
const target = [
|
||||
binary,
|
||||
item.os === "win32" ? "windows" : item.os,
|
||||
@@ -80,7 +69,7 @@ for (const item of targets) {
|
||||
const result = await Bun.build({
|
||||
entrypoints: ["./src/index.ts"],
|
||||
tsconfig: "./tsconfig.json",
|
||||
plugins: [solidPlugin, parcelWatcherPlugin],
|
||||
plugins: [plugin],
|
||||
external: ["node-gyp"],
|
||||
format: "esm",
|
||||
minify: true,
|
||||
|
||||
@@ -37,8 +37,6 @@ export async function collectNodeAssets(target: NodeTarget) {
|
||||
...(target.platform === "linux" ? { libc: "glibc" as const } : {}),
|
||||
}),
|
||||
{ key: target.parcelWatcherAsset, source: fileURLToPath(import.meta.resolve(target.parcelWatcherPackage)) },
|
||||
{ key: target.fffAsset, source: fileURLToPath(import.meta.resolve(target.fffPackage)) },
|
||||
{ key: target.fffFfiAsset, source: fileURLToPath(import.meta.resolve(target.fffFfiPackage)) },
|
||||
{
|
||||
key: photonWasmAsset,
|
||||
source: fileURLToPath(import.meta.resolve(photonWasmAsset)),
|
||||
|
||||
@@ -13,7 +13,7 @@ const directory = path.join(import.meta.dir, "..", "dist", ...(nodeBuild ? ["nod
|
||||
const binary = path.join(directory, `opencode2${nodeBuild ? "-node" : ""}${process.platform === "win32" ? ".exe" : ""}`)
|
||||
if (!(await Bun.file(binary).exists())) throw new Error(`Missing compiled CLI in ${directory}`)
|
||||
|
||||
const root = await fs.realpath(await fs.mkdtemp(path.join(os.tmpdir(), "opencode-service-smoke-")))
|
||||
const root = await fs.mkdtemp(path.join(os.tmpdir(), "opencode-service-smoke-"))
|
||||
const env = {
|
||||
...process.env,
|
||||
HOME: root,
|
||||
@@ -29,7 +29,6 @@ const processes: Array<ReturnType<typeof Bun.spawn>> = []
|
||||
const errors: Array<Promise<string>> = []
|
||||
let failure: unknown
|
||||
try {
|
||||
await fs.mkdir(path.join(root, ".opencode"))
|
||||
spawnService()
|
||||
spawnService()
|
||||
const registration = await waitForRegistration()
|
||||
@@ -50,11 +49,6 @@ try {
|
||||
{ signal: AbortSignal.timeout(5_000) },
|
||||
)
|
||||
if (tokenOpenApi.status !== 200) throw new Error("Compiled application rejected query authentication")
|
||||
if ((await pluginIDs(info.url, headers)).includes("smoke")) throw new Error("Smoke plugin existed before creation")
|
||||
const plugin = path.join(root, ".opencode", "plugins", "smoke.ts")
|
||||
await fs.mkdir(path.dirname(plugin), { recursive: true })
|
||||
await fs.writeFile(plugin, pluginSource())
|
||||
await waitForPlugin(info.url, headers)
|
||||
|
||||
const unauthorizedHealth = await fetch(new URL("/api/health", info.url), {
|
||||
signal: AbortSignal.timeout(5_000),
|
||||
@@ -94,7 +88,6 @@ try {
|
||||
} finally {
|
||||
processes.forEach((process) => process.kill())
|
||||
await Promise.all(processes.map((process) => process.exited))
|
||||
if (failure) errors.push(fs.readFile(path.join(root, "data", "opencode", "log", "opencode.log"), "utf8").catch(() => ""))
|
||||
}
|
||||
|
||||
const output = await Promise.all(errors)
|
||||
@@ -140,31 +133,3 @@ async function waitForReady(url: string, headers: HeadersInit) {
|
||||
function exitsWithin(process: Bun.Subprocess, milliseconds: number) {
|
||||
return Promise.race([process.exited.then(() => true), Bun.sleep(milliseconds).then(() => false)])
|
||||
}
|
||||
|
||||
function pluginSource() {
|
||||
return 'export default { id: "smoke", setup: async () => {} }\n'
|
||||
}
|
||||
|
||||
async function pluginIDs(url: string, headers: HeadersInit) {
|
||||
const endpoint = new URL("/api/plugin", url)
|
||||
endpoint.searchParams.set("location[directory]", root)
|
||||
const response = await fetch(endpoint, { headers, signal: AbortSignal.timeout(5_000) })
|
||||
const body: unknown = await response.json()
|
||||
if (typeof body !== "object" || body === null || !("data" in body) || !Array.isArray(body.data)) {
|
||||
throw new Error("Compiled service returned an invalid plugin list")
|
||||
}
|
||||
return body.data.flatMap((plugin) =>
|
||||
typeof plugin === "object" && plugin !== null && "id" in plugin && typeof plugin.id === "string"
|
||||
? [plugin.id]
|
||||
: [],
|
||||
)
|
||||
}
|
||||
|
||||
async function waitForPlugin(url: string, headers: HeadersInit) {
|
||||
const deadline = Date.now() + 10_000
|
||||
while (Date.now() < deadline) {
|
||||
if ((await pluginIDs(url, headers)).includes("smoke")) return
|
||||
await Bun.sleep(25)
|
||||
}
|
||||
throw new Error("Compiled service did not discover the created plugin")
|
||||
}
|
||||
|
||||
@@ -244,10 +244,7 @@ export function make(input: { readonly client: OpenCodeClient; readonly connecti
|
||||
return {}
|
||||
},
|
||||
forkSession: async (params) => {
|
||||
const forked = await input.client.session.fork({
|
||||
sessionID: params.sessionId,
|
||||
boundary: { type: "through" },
|
||||
})
|
||||
const forked = await input.client.session.fork({ sessionID: params.sessionId })
|
||||
const state = await attach(forked, forked.location.directory, params.mcpServers ?? [])
|
||||
await replay(state)
|
||||
return { sessionId: state.id, configOptions: configOptions(state) }
|
||||
|
||||
@@ -11,8 +11,6 @@ export function nodeTarget(platform: string, arch: string) {
|
||||
const targetArch = arch as "arm64" | "x64"
|
||||
const nodePtyPackage = `@lydell/node-pty-${targetPlatform}-${targetArch}`
|
||||
const parcelWatcherPackage = `@parcel/watcher-${targetPlatform}-${targetArch}${targetPlatform === "linux" ? "-glibc" : ""}`
|
||||
const fffPackage = `@ff-labs/fff-bin-${targetPlatform}-${targetArch}${targetPlatform === "linux" ? "-gnu" : ""}`
|
||||
const fffFfiPackage = `@yuuang/ffi-rs-${targetPlatform}-${targetArch}${targetPlatform === "linux" ? "-gnu" : targetPlatform === "win32" ? "-msvc" : ""}`
|
||||
|
||||
return {
|
||||
platform: targetPlatform,
|
||||
@@ -21,10 +19,6 @@ export function nodeTarget(platform: string, arch: string) {
|
||||
nodePtyEntryAsset: `${nodePtyPackage}/lib/index.js`,
|
||||
parcelWatcherPackage,
|
||||
parcelWatcherAsset: `${parcelWatcherPackage}/watcher.node`,
|
||||
fffPackage,
|
||||
fffAsset: `${fffPackage}/${targetPlatform === "darwin" ? "libfff_c.dylib" : targetPlatform === "win32" ? "fff_c.dll" : "libfff_c.so"}`,
|
||||
fffFfiPackage,
|
||||
fffFfiAsset: `${fffFfiPackage}/ffi-rs.${targetPlatform}-${targetArch}${targetPlatform === "linux" ? "-gnu" : targetPlatform === "win32" ? "-msvc" : ""}.node`,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -105,7 +105,7 @@ async function selectSession(input: {
|
||||
return {
|
||||
session: input.fork
|
||||
? await input.client.session
|
||||
.fork({ sessionID: explicit.id, boundary: { type: "through" } }, ...requestOptions(input.signal))
|
||||
.fork({ sessionID: explicit.id }, ...requestOptions(input.signal))
|
||||
.catch((error) => {
|
||||
throw new SessionTargetMutationError(error)
|
||||
})
|
||||
@@ -118,11 +118,9 @@ async function selectSession(input: {
|
||||
if (!selected) return { session: undefined, location }
|
||||
return {
|
||||
session: input.fork
|
||||
? await input.client.session
|
||||
.fork({ sessionID: selected.id, boundary: { type: "through" } }, ...requestOptions(input.signal))
|
||||
.catch((error) => {
|
||||
throw new SessionTargetMutationError(error)
|
||||
})
|
||||
? await input.client.session.fork({ sessionID: selected.id }, ...requestOptions(input.signal)).catch((error) => {
|
||||
throw new SessionTargetMutationError(error)
|
||||
})
|
||||
: selected,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -136,7 +136,7 @@ describe("acp service lifecycle", () => {
|
||||
method: "POST",
|
||||
path: "/api/session/ses_loaded/fork",
|
||||
query: {},
|
||||
body: { boundary: { type: "through" } },
|
||||
body: {},
|
||||
})
|
||||
})
|
||||
|
||||
|
||||
@@ -267,7 +267,7 @@ async function run(input: {
|
||||
values.push(...input.turn(messageID))
|
||||
wake?.()
|
||||
wake = undefined
|
||||
return ok({ id: messageID, sessionID: "ses_1", timeCreated: 1 }) as never
|
||||
return ok({ admittedSeq: 1, id: messageID, sessionID: "ses_1", timeCreated: 1 }) as never
|
||||
})
|
||||
await runNonInteractivePrompt({
|
||||
client: sdk,
|
||||
|
||||
@@ -3,7 +3,7 @@ import { OpenCode, type LocationGetOutput, type ModelRef, type SessionInfo } fro
|
||||
import { resolveSessionTarget, SessionTargetMutationError } from "../src/session-target"
|
||||
|
||||
function location(directory: string, workspaceID?: string): LocationGetOutput {
|
||||
return { directory, workspaceID, project: { id: "project", directory, canonical: directory } }
|
||||
return { directory, workspaceID, project: { id: "project", directory } }
|
||||
}
|
||||
|
||||
function session(id: string, directory: string, workspaceID?: string, model?: ModelRef): SessionInfo {
|
||||
|
||||
@@ -30,44 +30,6 @@ function runtimeRequirePlugin(): Plugin {
|
||||
}
|
||||
}
|
||||
|
||||
function fffNodePlugin(): Plugin {
|
||||
return {
|
||||
name: "opencode:fff-node",
|
||||
enforce: "pre",
|
||||
transform(code, id) {
|
||||
const normalized = id.replaceAll("\\", "/")
|
||||
if (normalized.endsWith("/ffi-rs/index.js")) {
|
||||
const start = code.indexOf("if (!nativeBinding) {")
|
||||
if (start === -1) this.error("Failed to rewrite ffi-rs native binding loader")
|
||||
return `const unavailable = () => { throw new Error("ffi-rs native binding unavailable") }
|
||||
const nativeBinding = globalThis.__OPENCODE_FFF_FFI ?? {
|
||||
DataType: new Proxy({}, { get: (target, key) => target[key] ?? key }),
|
||||
PointerType: {},
|
||||
FFITypeTag: {},
|
||||
open: unavailable,
|
||||
close: unavailable,
|
||||
load: unavailable,
|
||||
isNullPointer: unavailable,
|
||||
createPointer: unavailable,
|
||||
restorePointer: unavailable,
|
||||
unwrapPointer: unavailable,
|
||||
wrapPointer: unavailable,
|
||||
freePointer: unavailable,
|
||||
}
|
||||
const loadError = undefined
|
||||
${code.slice(start)}`
|
||||
}
|
||||
if (!normalized.endsWith("/fff-node/dist/src/binary.js")) return
|
||||
const transformed = code.replace(
|
||||
"export function findBinary() {",
|
||||
"export function findBinary() { if (process.env.FFF_BINARY_PATH) return process.env.FFF_BINARY_PATH;",
|
||||
)
|
||||
if (transformed === code) this.error("Failed to rewrite FFF binary loader")
|
||||
return transformed
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
const resolve = {
|
||||
alias: [
|
||||
{ find: /^solid-js\/store$/, replacement: "solid-js/store/dist/store.js" },
|
||||
@@ -194,11 +156,6 @@ process.env.OTUI_ASSET_ROOT = __ocAssetRoot
|
||||
process.env.OPENCODE_NODE_PTY_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(input.target.nodePtyEntryAsset)})
|
||||
process.env.OPENCODE_PARCEL_WATCHER_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(input.target.parcelWatcherAsset)})
|
||||
process.env.OPENCODE_PHOTON_WASM_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(photonWasmAsset)})
|
||||
process.env.FFF_BINARY_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(input.target.fffAsset)})
|
||||
process.env.OPENCODE_FFF_FFI_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(input.target.fffFfiAsset)})
|
||||
try {
|
||||
globalThis.__OPENCODE_FFF_FFI = require(process.env.OPENCODE_FFF_FFI_PATH)
|
||||
} catch {}
|
||||
globalThis.__OPENCODE_PHOTON_WASM_PATH = process.env.OPENCODE_PHOTON_WASM_PATH
|
||||
if (process.platform === "linux") process.env.OPENTUI_LIBC = "glibc"`
|
||||
}
|
||||
@@ -217,7 +174,6 @@ export function mainConfig(input: NodeBuildInput): UserConfig {
|
||||
plugins: [
|
||||
rawTextPlugin(),
|
||||
runtimeRequirePlugin(),
|
||||
fffNodePlugin(),
|
||||
solid({
|
||||
solid: {
|
||||
generate: "universal",
|
||||
|
||||
@@ -136,7 +136,7 @@ export type Endpoint5_4Input = { readonly sessionID: Session.ID }
|
||||
export type Endpoint5_4Output = void
|
||||
export type SessionRemoveOperation<E = never> = (input: Endpoint5_4Input) => Effect.Effect<Endpoint5_4Output, E>
|
||||
|
||||
export type Endpoint5_5Input = { readonly sessionID: Session.ID; readonly boundary: Session.ForkRequestBoundary }
|
||||
export type Endpoint5_5Input = { readonly sessionID: Session.ID; readonly messageID?: SessionMessage.ID | undefined }
|
||||
export type Endpoint5_5Output = Session.Info
|
||||
export type SessionForkOperation<E = never> = (input: Endpoint5_5Input) => Effect.Effect<Endpoint5_5Output, E>
|
||||
|
||||
@@ -342,10 +342,8 @@ export type Endpoint5_26Output =
|
||||
readonly data: {
|
||||
readonly sessionID: Session.ID
|
||||
readonly parentID: Session.ID
|
||||
readonly boundary: Session.ForkBoundary
|
||||
readonly instructions?:
|
||||
| { readonly [x: string & Brand.Brand<"Instruction.Key">]: string & Brand.Brand<"Instruction.Hash"> }
|
||||
| undefined
|
||||
readonly parentSeq: number
|
||||
readonly from?: SessionMessage.ID | undefined
|
||||
}
|
||||
}
|
||||
| {
|
||||
|
||||
@@ -329,7 +329,7 @@ const Endpoint5_4 = (raw: RawClient["server.session"]) => (input: Endpoint5_4Inp
|
||||
|
||||
const Endpoint5_5 = (raw: RawClient["server.session"]) => (input: Endpoint5_5Input) =>
|
||||
preserveEffect<Endpoint5_5Output>()(
|
||||
raw["session.fork"]({ params: { sessionID: input["sessionID"] }, payload: { boundary: input["boundary"] } }).pipe(
|
||||
raw["session.fork"]({ params: { sessionID: input["sessionID"] }, payload: { messageID: input["messageID"] } }).pipe(
|
||||
Effect.mapError(mapClientError),
|
||||
Effect.map((value) => value.data),
|
||||
),
|
||||
|
||||
@@ -510,7 +510,7 @@ export function make(options: ClientOptions) {
|
||||
{
|
||||
method: "POST",
|
||||
path: `/api/session/${encodeURIComponent(input.sessionID)}/fork`,
|
||||
body: { boundary: input["boundary"] },
|
||||
body: { messageID: input["messageID"] },
|
||||
successStatus: 200,
|
||||
declaredStatuses: [404, 400, 401],
|
||||
empty: false,
|
||||
|
||||
@@ -14,8 +14,6 @@ export type PermissionEffect = "allow" | "deny" | "ask"
|
||||
|
||||
export type PluginInfo = { id: string }
|
||||
|
||||
export type SessionForkBoundary = { type: "before"; messageID: string } | { type: "through"; messageID: string }
|
||||
|
||||
export type MoneyUSD = number
|
||||
|
||||
export type TokenUsageInfo = {
|
||||
@@ -45,7 +43,13 @@ export type PromptMention = { start: number; end: number; text: string }
|
||||
|
||||
export type SessionPendingSyntheticData = { text: string; description?: string; metadata?: { [x: string]: JsonValue } }
|
||||
|
||||
export type SessionPendingCompaction = { id: string; sessionID: string; timeCreated: number; type: "compaction" }
|
||||
export type SessionPendingCompaction = {
|
||||
admittedSeq: number
|
||||
id: string
|
||||
sessionID: string
|
||||
timeCreated: number
|
||||
type: "compaction"
|
||||
}
|
||||
|
||||
export type SessionMessageAgentSelected = {
|
||||
id: string
|
||||
@@ -279,7 +283,7 @@ export type ProjectCommands = { start?: string }
|
||||
|
||||
export type ProjectTime = { created: number; updated: number; initialized?: number }
|
||||
|
||||
export type ProjectCurrent = { id: string; directory: string; canonical: string }
|
||||
export type ProjectCurrent = { id: string; directory: string }
|
||||
|
||||
export type ProjectDirectory = { directory: string; strategy?: string }
|
||||
|
||||
@@ -624,7 +628,7 @@ export type SessionForked = {
|
||||
type: "session.forked"
|
||||
durable: { aggregateID: string; seq: number; version: 2 }
|
||||
location?: LocationRef
|
||||
data: { sessionID: string; parentID: string; boundary: SessionForkBoundary; instructions?: { [x: string]: string } }
|
||||
data: { sessionID: string; parentID: string; parentSeq: number; from?: string }
|
||||
}
|
||||
|
||||
export type SessionInputPromoted = {
|
||||
@@ -1206,6 +1210,7 @@ export type PromptFileAttachment = {
|
||||
export type PromptAgentAttachment = { name: string; mention?: PromptMention }
|
||||
|
||||
export type SessionPendingSynthetic = {
|
||||
admittedSeq: number
|
||||
id: string
|
||||
sessionID: string
|
||||
timeCreated: number
|
||||
@@ -1430,7 +1435,7 @@ export type McpResourceCatalog = { resources: Array<McpResource>; templates: Arr
|
||||
|
||||
export type Project = {
|
||||
id: string
|
||||
canonical: string
|
||||
worktree: string
|
||||
vcs?: ProjectVcs
|
||||
name?: string
|
||||
icon?: ProjectIcon
|
||||
@@ -1750,7 +1755,7 @@ export type PermissionRuleset = Array<PermissionRule>
|
||||
export type SessionInfo = {
|
||||
id: string
|
||||
parentID?: string
|
||||
fork?: { sessionID: string; boundary: SessionForkBoundary }
|
||||
fork?: { sessionID: string; messageID?: string }
|
||||
projectID: string
|
||||
agent?: string
|
||||
model?: ModelRef
|
||||
@@ -1961,6 +1966,7 @@ export type AgentInfo = {
|
||||
export type SessionsResponse = { data: Array<SessionInfo>; cursor: { previous?: string | null; next?: string | null } }
|
||||
|
||||
export type SessionPendingUser = {
|
||||
admittedSeq: number
|
||||
id: string
|
||||
sessionID: string
|
||||
timeCreated: number
|
||||
@@ -2515,11 +2521,7 @@ export type LocationGetInput = {
|
||||
}["location"]
|
||||
}
|
||||
|
||||
export type LocationGetOutput = {
|
||||
directory: string
|
||||
workspaceID?: string
|
||||
project: { id: string; directory: string; canonical: string }
|
||||
}
|
||||
export type LocationGetOutput = { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
|
||||
export type AgentListInput = {
|
||||
readonly location?: {
|
||||
@@ -2528,7 +2530,7 @@ export type AgentListInput = {
|
||||
}
|
||||
|
||||
export type AgentListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<AgentInfo>
|
||||
}
|
||||
|
||||
@@ -2540,7 +2542,7 @@ export type AgentGetInput = {
|
||||
}
|
||||
|
||||
export type AgentGetOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: AgentInfo
|
||||
}
|
||||
|
||||
@@ -2551,7 +2553,7 @@ export type PluginListInput = {
|
||||
}
|
||||
|
||||
export type PluginListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<PluginInfo>
|
||||
}
|
||||
|
||||
@@ -2700,9 +2702,7 @@ export type SessionRemoveOutput = void
|
||||
|
||||
export type SessionForkInput = {
|
||||
readonly sessionID: { readonly sessionID: string }["sessionID"]
|
||||
readonly boundary: {
|
||||
readonly boundary: { readonly type: "before"; readonly messageID: string } | { readonly type: "through" }
|
||||
}["boundary"]
|
||||
readonly messageID?: { readonly messageID?: string | undefined }["messageID"]
|
||||
}
|
||||
|
||||
export type SessionForkOutput = { data: SessionInfo }["data"]
|
||||
@@ -3235,7 +3235,7 @@ export type ModelListInput = {
|
||||
}
|
||||
|
||||
export type ModelListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<ModelInfo>
|
||||
}
|
||||
|
||||
@@ -3246,7 +3246,7 @@ export type ModelDefaultInput = {
|
||||
}
|
||||
|
||||
export type ModelDefaultOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: ModelInfo | null
|
||||
}
|
||||
|
||||
@@ -3273,7 +3273,7 @@ export type ProviderListInput = {
|
||||
}
|
||||
|
||||
export type ProviderListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<ProviderInfo>
|
||||
}
|
||||
|
||||
@@ -3285,7 +3285,7 @@ export type ProviderGetInput = {
|
||||
}
|
||||
|
||||
export type ProviderGetOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: ProviderInfo
|
||||
}
|
||||
|
||||
@@ -3296,7 +3296,7 @@ export type IntegrationListInput = {
|
||||
}
|
||||
|
||||
export type IntegrationListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<IntegrationInfo>
|
||||
}
|
||||
|
||||
@@ -3308,7 +3308,7 @@ export type IntegrationGetInput = {
|
||||
}
|
||||
|
||||
export type IntegrationGetOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: IntegrationInfo | null
|
||||
}
|
||||
|
||||
@@ -3355,7 +3355,7 @@ export type IntegrationOauthConnectInput = {
|
||||
}
|
||||
|
||||
export type IntegrationOauthConnectOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: {
|
||||
attemptID: string
|
||||
url: string
|
||||
@@ -3374,7 +3374,7 @@ export type IntegrationOauthStatusInput = {
|
||||
}
|
||||
|
||||
export type IntegrationOauthStatusOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: IntegrationAttemptStatus
|
||||
}
|
||||
|
||||
@@ -3409,7 +3409,7 @@ export type IntegrationCommandConnectInput = {
|
||||
}
|
||||
|
||||
export type IntegrationCommandConnectOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: IntegrationCommandAttempt
|
||||
}
|
||||
|
||||
@@ -3422,7 +3422,7 @@ export type IntegrationCommandStatusInput = {
|
||||
}
|
||||
|
||||
export type IntegrationCommandStatusOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: IntegrationCommandAttemptStatus
|
||||
}
|
||||
|
||||
@@ -3443,7 +3443,7 @@ export type McpListInput = {
|
||||
}
|
||||
|
||||
export type McpListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<McpServer>
|
||||
}
|
||||
|
||||
@@ -3532,7 +3532,7 @@ export type McpResourceCatalogInput = {
|
||||
}
|
||||
|
||||
export type McpResourceCatalogOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: McpResourceCatalog
|
||||
}
|
||||
|
||||
@@ -3581,7 +3581,7 @@ export type FormRequestListInput = {
|
||||
}
|
||||
|
||||
export type FormRequestListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<FormInfo>
|
||||
}
|
||||
|
||||
@@ -4437,7 +4437,7 @@ export type PermissionRequestListInput = {
|
||||
}
|
||||
|
||||
export type PermissionRequestListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<PermissionRequest>
|
||||
}
|
||||
|
||||
@@ -4559,7 +4559,7 @@ export type FileListInput = {
|
||||
}
|
||||
|
||||
export type FileListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<FileSystemEntry>
|
||||
}
|
||||
|
||||
@@ -4591,7 +4591,7 @@ export type FileFindInput = {
|
||||
}
|
||||
|
||||
export type FileFindOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<FileSystemEntry>
|
||||
}
|
||||
|
||||
@@ -4602,7 +4602,7 @@ export type CommandListInput = {
|
||||
}
|
||||
|
||||
export type CommandListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<CommandInfo>
|
||||
}
|
||||
|
||||
@@ -4613,7 +4613,7 @@ export type SkillListInput = {
|
||||
}
|
||||
|
||||
export type SkillListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<SkillInfo>
|
||||
}
|
||||
|
||||
@@ -4626,7 +4626,7 @@ export type PtyListInput = {
|
||||
}
|
||||
|
||||
export type PtyListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<Pty>
|
||||
}
|
||||
|
||||
@@ -4672,7 +4672,7 @@ export type PtyCreateInput = {
|
||||
}
|
||||
|
||||
export type PtyCreateOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Pty
|
||||
}
|
||||
|
||||
@@ -4684,7 +4684,7 @@ export type PtyGetInput = {
|
||||
}
|
||||
|
||||
export type PtyGetOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Pty
|
||||
}
|
||||
|
||||
@@ -4701,7 +4701,7 @@ export type PtyUpdateInput = {
|
||||
}
|
||||
|
||||
export type PtyUpdateOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Pty
|
||||
}
|
||||
|
||||
@@ -4721,7 +4721,7 @@ export type ShellListInput = {
|
||||
}
|
||||
|
||||
export type ShellListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<ShellInfo1>
|
||||
}
|
||||
|
||||
@@ -4756,7 +4756,7 @@ export type ShellCreateInput = {
|
||||
}
|
||||
|
||||
export type ShellCreateOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: ShellInfo1
|
||||
}
|
||||
|
||||
@@ -4768,7 +4768,7 @@ export type ShellGetInput = {
|
||||
}
|
||||
|
||||
export type ShellGetOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: ShellInfo1
|
||||
}
|
||||
|
||||
@@ -4781,7 +4781,7 @@ export type ShellTimeoutInput = {
|
||||
}
|
||||
|
||||
export type ShellTimeoutOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: ShellInfo1
|
||||
}
|
||||
|
||||
@@ -4805,7 +4805,7 @@ export type ShellOutputInput = {
|
||||
}
|
||||
|
||||
export type ShellOutputOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: { output: string; cursor: number; size: number; truncated: boolean }
|
||||
}
|
||||
|
||||
@@ -4825,7 +4825,7 @@ export type QuestionRequestListInput = {
|
||||
}
|
||||
|
||||
export type QuestionRequestListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<QuestionRequest>
|
||||
}
|
||||
|
||||
@@ -4855,7 +4855,7 @@ export type ReferenceListInput = {
|
||||
}
|
||||
|
||||
export type ReferenceListOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<ReferenceInfo>
|
||||
}
|
||||
|
||||
@@ -4898,7 +4898,7 @@ export type VcsStatusInput = {
|
||||
}
|
||||
|
||||
export type VcsStatusOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<VcsFileStatus>
|
||||
}
|
||||
|
||||
@@ -4921,7 +4921,7 @@ export type VcsDiffInput = {
|
||||
}
|
||||
|
||||
export type VcsDiffOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<FileDiffInfo>
|
||||
}
|
||||
|
||||
@@ -4942,7 +4942,7 @@ export type WebsearchProvidersInput = {
|
||||
}
|
||||
|
||||
export type WebsearchProvidersOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: Array<WebSearchProvider>
|
||||
}
|
||||
|
||||
@@ -4955,6 +4955,6 @@ export type WebsearchQueryInput = {
|
||||
}
|
||||
|
||||
export type WebsearchQueryOutput = {
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
|
||||
location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
|
||||
data: { providerID: string; results: Array<WebSearchResult> }
|
||||
}
|
||||
|
||||
@@ -268,6 +268,7 @@ const session = {
|
||||
|
||||
const admission = {
|
||||
data: {
|
||||
admittedSeq: 0,
|
||||
id: "msg_test",
|
||||
sessionID: "ses_test",
|
||||
type: "user",
|
||||
@@ -280,6 +281,7 @@ const admission = {
|
||||
const compactionAdmission = {
|
||||
data: {
|
||||
type: "compaction",
|
||||
admittedSeq: 1,
|
||||
id: "msg_compaction",
|
||||
sessionID: "ses_test",
|
||||
timeCreated: 1_717_171_717_000,
|
||||
|
||||
@@ -304,6 +304,7 @@ test("session.pending.list uses the public HTTP contract", async () => {
|
||||
const requests: Array<{ method: string; url: string }> = []
|
||||
const pending = [
|
||||
{
|
||||
admittedSeq: 3,
|
||||
id: "msg_pending",
|
||||
sessionID: "ses_test",
|
||||
timeCreated: 1_717_171_717_000,
|
||||
@@ -546,6 +547,7 @@ const session = {
|
||||
|
||||
const admission = {
|
||||
data: {
|
||||
admittedSeq: 0,
|
||||
id: "msg_test",
|
||||
sessionID: "ses_test",
|
||||
type: "user",
|
||||
@@ -557,6 +559,7 @@ const admission = {
|
||||
|
||||
const syntheticAdmission = {
|
||||
data: {
|
||||
admittedSeq: 1,
|
||||
id: "msg_synthetic",
|
||||
sessionID: "ses_test",
|
||||
type: "synthetic",
|
||||
@@ -569,6 +572,7 @@ const syntheticAdmission = {
|
||||
const compactionAdmission = {
|
||||
data: {
|
||||
type: "compaction",
|
||||
admittedSeq: 1,
|
||||
id: "msg_compaction",
|
||||
sessionID: "ses_test",
|
||||
timeCreated: 1_717_171_717_000,
|
||||
|
||||
@@ -264,7 +264,8 @@ export const dict = {
|
||||
"go.cta.text": "اشترك في Go",
|
||||
"go.cta.price": "$10/شهر",
|
||||
"go.cta.promo": "$5 للشهر الأول",
|
||||
"go.pricing.body": "يبدأ Go من $5 للشهر الأول، ثم $10/شهر.",
|
||||
"go.pricing.body":
|
||||
"استخدمه مع أي وكيل. $5 للشهر الأول، ثم $10/شهر. قم بزيادة الرصيد إذا لزم الأمر. الإلغاء في أي وقت.",
|
||||
"go.graph.free": "مجاني",
|
||||
"go.graph.freePill": "Big Pickle ونماذج مجانية",
|
||||
"go.graph.go": "Go",
|
||||
@@ -303,15 +304,15 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"يتضمن Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash وHy3",
|
||||
"go.how.title": "كيف يعمل Go",
|
||||
"go.how.body": "يبدأ Go من $5 للشهر الأول، ثم $10/شهر.",
|
||||
"go.how.step1.title": "اشترك في Go",
|
||||
"go.how.step1.beforeLink": "في",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "ربط OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "ووافق على الجهاز في متصفحك",
|
||||
"go.how.body": "يبدأ Go من $5 للشهر الأول، ثم $10/شهر. يمكنك استخدامه مع OpenCode أو أي وكيل.",
|
||||
"go.how.step1.title": "أنشئ حسابًا",
|
||||
"go.how.step1.beforeLink": "اتبع",
|
||||
"go.how.step1.link": "تعليمات الإعداد",
|
||||
"go.how.step2.title": "اشترك في Go",
|
||||
"go.how.step2.link": "$5 للشهر الأول",
|
||||
"go.how.step2.afterLink": "ثم $10/شهر مع حدود سخية",
|
||||
"go.how.step3.title": "ابدأ البرمجة",
|
||||
"go.how.step3.body": "مع مزود opencode",
|
||||
"go.how.step3.body": "مع وصول موثوق لنماذج مفتوحة المصدر",
|
||||
"go.privacy.title": "خصوصيتك مهمة بالنسبة لنا",
|
||||
"go.privacy.body":
|
||||
"تم تصميم الخطة بشكل أساسي للمستخدمين الدوليين، مع استضافة النماذج في الولايات المتحدة والاتحاد الأوروبي وسنغافورة للحصول على وصول عالمي مستقر.",
|
||||
@@ -343,8 +344,8 @@ export const dict = {
|
||||
"go.faq.a6": "إذا كنت بحاجة إلى مزيد من الاستخدام، يمكنك شحن رصيد في حسابك.",
|
||||
"go.faq.q7": "هل يمكنني الإلغاء؟",
|
||||
"go.faq.a7": "نعم، يمكنك الإلغاء في أي وقت.",
|
||||
"go.faq.q8": "ما الوصول المؤجل؟",
|
||||
"go.faq.a8": "دعم الوكلاء الخارجيين وحسابات الخدمة مؤجل.",
|
||||
"go.faq.q8": "هل يمكنني استخدام Go مع وكلاء برمجة آخرين؟",
|
||||
"go.faq.a8": "نعم، يمكنك استخدام Go مع أي وكيل. اتبع تعليمات الإعداد في وكيل البرمجة المفضل لديك.",
|
||||
|
||||
"go.faq.q9": "ما الفرق بين النماذج المجانية وGo؟",
|
||||
"go.faq.a9":
|
||||
@@ -649,7 +650,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "الاستخدام الشهري",
|
||||
"workspace.lite.subscription.resetsIn": "إعادة تعيين في",
|
||||
"workspace.lite.subscription.useBalance": "استخدم رصيدك المتوفر بعد الوصول إلى حدود الاستخدام",
|
||||
"workspace.lite.subscription.selectProvider": "اختر مزود opencode لاستخدام نماذج Go.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'اختر "OpenCode Go" كمزود في إعدادات opencode الخاصة بك لاستخدام نماذج Go.',
|
||||
"workspace.lite.providers.title": "المزودون",
|
||||
"workspace.lite.providers.description": "تحكم في المزودين المستخدمين للتوجيه.",
|
||||
"workspace.lite.providers.useChina": "تفعيل النماذج المستضافة في الصين",
|
||||
|
||||
@@ -268,7 +268,8 @@ export const dict = {
|
||||
"go.cta.text": "Assinar o Go",
|
||||
"go.cta.price": "$10/mês",
|
||||
"go.cta.promo": "$5 no primeiro mês",
|
||||
"go.pricing.body": "O Go começa em $5 no primeiro mês, depois $10/mês.",
|
||||
"go.pricing.body":
|
||||
"Use com qualquer agente. $5 no primeiro mês, depois $10/mês. Recarregue o crédito se necessário. Cancele a qualquer momento.",
|
||||
"go.graph.free": "Grátis",
|
||||
"go.graph.freePill": "Big Pickle e modelos gratuitos",
|
||||
"go.graph.go": "Go",
|
||||
@@ -308,15 +309,16 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Inclui Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3",
|
||||
"go.how.title": "Como o Go funciona",
|
||||
"go.how.body": "O Go começa em $5 no primeiro mês, depois $10/mês.",
|
||||
"go.how.step1.title": "Assinar o Go",
|
||||
"go.how.step1.beforeLink": "no",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Conectar o OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "e aprove o dispositivo no navegador",
|
||||
"go.how.body":
|
||||
"O Go começa em $5 no primeiro mês, depois $10/mês. Você pode usá-lo com o OpenCode ou qualquer agente.",
|
||||
"go.how.step1.title": "Crie uma conta",
|
||||
"go.how.step1.beforeLink": "siga as",
|
||||
"go.how.step1.link": "instruções de configuração",
|
||||
"go.how.step2.title": "Assinar o Go",
|
||||
"go.how.step2.link": "$5 no primeiro mês",
|
||||
"go.how.step2.afterLink": "depois $10/mês com limites generosos",
|
||||
"go.how.step3.title": "Comece a codificar",
|
||||
"go.how.step3.body": "com o provedor opencode",
|
||||
"go.how.step3.body": "com acesso confiável a modelos de código aberto",
|
||||
"go.privacy.title": "Sua privacidade é importante para nós",
|
||||
"go.privacy.body":
|
||||
"O plano é projetado principalmente para usuários internacionais, com modelos hospedados nos EUA, UE e Singapura para acesso global estável.",
|
||||
@@ -349,8 +351,9 @@ export const dict = {
|
||||
"go.faq.a6": "Se você precisar de mais uso, pode recarregar crédito em sua conta.",
|
||||
"go.faq.q7": "Posso cancelar?",
|
||||
"go.faq.a7": "Sim, você pode cancelar a qualquer momento.",
|
||||
"go.faq.q8": "Qual acesso foi adiado?",
|
||||
"go.faq.a8": "O suporte a agentes externos e contas de serviço foi adiado.",
|
||||
"go.faq.q8": "Posso usar o Go com outros agentes de codificação?",
|
||||
"go.faq.a8":
|
||||
"Sim, você pode usar o Go com qualquer agente. Siga as instruções de configuração no seu agente de codificação preferido.",
|
||||
|
||||
"go.faq.q9": "Qual a diferença entre os modelos gratuitos e o Go?",
|
||||
"go.faq.a9":
|
||||
@@ -657,7 +660,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Uso Mensal",
|
||||
"workspace.lite.subscription.resetsIn": "Reinicia em",
|
||||
"workspace.lite.subscription.useBalance": "Use seu saldo disponível após atingir os limites de uso",
|
||||
"workspace.lite.subscription.selectProvider": "Selecione o provedor opencode para usar os modelos Go.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Selecione "OpenCode Go" como provedor na sua configuração do opencode para usar os modelos Go.',
|
||||
"workspace.lite.providers.title": "Provedores",
|
||||
"workspace.lite.providers.description": "Controle quais provedores são usados para roteamento.",
|
||||
"workspace.lite.providers.useChina": "Ativar modelos hospedados na China",
|
||||
|
||||
@@ -266,7 +266,8 @@ export const dict = {
|
||||
"go.cta.text": "Abonner på Go",
|
||||
"go.cta.price": "$10/måned",
|
||||
"go.cta.promo": "$5 første måned",
|
||||
"go.pricing.body": "Go starter ved $5 for den første måned, derefter $10/måned.",
|
||||
"go.pricing.body":
|
||||
"Brug med enhver agent. $5 første måned, derefter $10/måned. Tank op med kredit efter behov. Afmeld når som helst.",
|
||||
"go.graph.free": "Gratis",
|
||||
"go.graph.freePill": "Big Pickle og gratis modeller",
|
||||
"go.graph.go": "Go",
|
||||
@@ -305,15 +306,16 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3",
|
||||
"go.how.title": "Hvordan Go virker",
|
||||
"go.how.body": "Go starter ved $5 for den første måned, derefter $10/måned.",
|
||||
"go.how.step1.title": "Abonner på Go",
|
||||
"go.how.step1.beforeLink": "i",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Forbind OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "og godkend enheden i din browser",
|
||||
"go.how.body":
|
||||
"Go starter ved $5 for den første måned, derefter $10/måned. Du kan bruge det med OpenCode eller enhver agent.",
|
||||
"go.how.step1.title": "Opret en konto",
|
||||
"go.how.step1.beforeLink": "følg",
|
||||
"go.how.step1.link": "opsætningsinstruktionerne",
|
||||
"go.how.step2.title": "Abonner på Go",
|
||||
"go.how.step2.link": "$5 første måned",
|
||||
"go.how.step2.afterLink": "derefter $10/måned med generøse grænser",
|
||||
"go.how.step3.title": "Start kodning",
|
||||
"go.how.step3.body": "med opencode-udbyderen",
|
||||
"go.how.step3.body": "med pålidelig adgang til open source-modeller",
|
||||
"go.privacy.title": "Dit privatliv er vigtigt for os",
|
||||
"go.privacy.body":
|
||||
"Planen er primært designet til internationale brugere, med modeller hostet i USA, EU og Singapore for stabil global adgang.",
|
||||
@@ -346,8 +348,8 @@ export const dict = {
|
||||
"go.faq.a6": "Hvis du har brug for mere forbrug, kan du tanke kredit op på din konto.",
|
||||
"go.faq.q7": "Kan jeg annullere?",
|
||||
"go.faq.a7": "Ja, du kan annullere til enhver tid.",
|
||||
"go.faq.q8": "Hvilken adgang er udskudt?",
|
||||
"go.faq.a8": "Understøttelse af eksterne agenter og tjenestekonti er udskudt.",
|
||||
"go.faq.q8": "Kan jeg bruge Go med andre kodningsagenter?",
|
||||
"go.faq.a8": "Ja, du kan bruge Go med enhver agent. Følg opsætningsinstruktionerne i din foretrukne kodningsagent.",
|
||||
|
||||
"go.faq.q9": "Hvad er forskellen på gratis modeller og Go?",
|
||||
"go.faq.a9":
|
||||
@@ -654,7 +656,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Månedligt forbrug",
|
||||
"workspace.lite.subscription.resetsIn": "Nulstiller i",
|
||||
"workspace.lite.subscription.useBalance": "Brug din tilgængelige saldo, når du har nået forbrugsgrænserne",
|
||||
"workspace.lite.subscription.selectProvider": "Vælg opencode-udbyderen for at bruge Go-modeller.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Vælg "OpenCode Go" som udbyder i din opencode-konfiguration for at bruge Go-modeller.',
|
||||
"workspace.lite.providers.title": "Udbydere",
|
||||
"workspace.lite.providers.description": "Styr, hvilke udbydere der bruges til routing.",
|
||||
"workspace.lite.providers.useChina": "Aktivér modeller hostet i Kina",
|
||||
|
||||
@@ -268,7 +268,8 @@ export const dict = {
|
||||
"go.cta.text": "Go abonnieren",
|
||||
"go.cta.price": "$10/Monat",
|
||||
"go.cta.promo": "$5 im ersten Monat",
|
||||
"go.pricing.body": "Go beginnt bei $5 für den ersten Monat, danach $10/Monat.",
|
||||
"go.pricing.body":
|
||||
"Mit jedem Agenten nutzbar. $5 im ersten Monat, danach $10/Monat. Guthaben bei Bedarf aufladen. Jederzeit kündbar.",
|
||||
"go.graph.free": "Kostenlos",
|
||||
"go.graph.freePill": "Big Pickle und kostenlose Modelle",
|
||||
"go.graph.go": "Go",
|
||||
@@ -307,15 +308,16 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Beinhaltet Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash und Hy3",
|
||||
"go.how.title": "Wie Go funktioniert",
|
||||
"go.how.body": "Go beginnt bei $5 für den ersten Monat, danach $10/Monat.",
|
||||
"go.how.step1.title": "Go abonnieren",
|
||||
"go.how.step1.beforeLink": "in",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "OpenCode verbinden",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "und autorisiere das Gerät in deinem Browser",
|
||||
"go.how.body":
|
||||
"Go beginnt bei $5 für den ersten Monat, danach $10/Monat. Du kannst es mit OpenCode oder jedem Agenten nutzen.",
|
||||
"go.how.step1.title": "Konto erstellen",
|
||||
"go.how.step1.beforeLink": "folge den",
|
||||
"go.how.step1.link": "Einrichtungsanweisungen",
|
||||
"go.how.step2.title": "Go abonnieren",
|
||||
"go.how.step2.link": "$5 im ersten Monat",
|
||||
"go.how.step2.afterLink": "danach $10/Monat mit großzügigen Limits",
|
||||
"go.how.step3.title": "Loslegen mit Coding",
|
||||
"go.how.step3.body": "mit dem opencode-Anbieter",
|
||||
"go.how.step3.body": "mit zuverlässigem Zugang zu Open-Source-Modellen",
|
||||
"go.privacy.title": "Deine Privatsphäre ist uns wichtig",
|
||||
"go.privacy.body":
|
||||
"Der Plan ist primär für internationale Nutzer konzipiert, mit Modellen gehostet in den USA, der EU und Singapur für stabilen globalen Zugang.",
|
||||
@@ -348,8 +350,9 @@ export const dict = {
|
||||
"go.faq.a6": "Wenn du mehr Nutzung benötigst, kannst du Guthaben in deinem Konto aufladen.",
|
||||
"go.faq.q7": "Kann ich kündigen?",
|
||||
"go.faq.a7": "Ja, du kannst jederzeit kündigen.",
|
||||
"go.faq.q8": "Welcher Zugriff ist zurückgestellt?",
|
||||
"go.faq.a8": "Unterstützung für externe Agenten und Dienstkonten ist zurückgestellt.",
|
||||
"go.faq.q8": "Kann ich Go mit anderen Coding-Agenten nutzen?",
|
||||
"go.faq.a8":
|
||||
"Ja, du kannst Go mit jedem Agenten nutzen. Folge den Einrichtungsanweisungen in deinem bevorzugten Coding-Agenten.",
|
||||
|
||||
"go.faq.q9": "Was ist der Unterschied zwischen kostenlosen Modellen und Go?",
|
||||
"go.faq.a9":
|
||||
@@ -656,7 +659,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Monatliche Nutzung",
|
||||
"workspace.lite.subscription.resetsIn": "Setzt zurück in",
|
||||
"workspace.lite.subscription.useBalance": "Nutze dein verfügbares Guthaben, nachdem die Nutzungslimits erreicht sind",
|
||||
"workspace.lite.subscription.selectProvider": "Wähle den opencode-Anbieter, um Go-Modelle zu verwenden.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Wähle "OpenCode Go" als Anbieter in deiner opencode-Konfiguration, um Go-Modelle zu verwenden.',
|
||||
"workspace.lite.providers.title": "Anbieter",
|
||||
"workspace.lite.providers.description": "Steuere, welche Anbieter für das Routing verwendet werden.",
|
||||
"workspace.lite.providers.useChina": "In China gehostete Modelle aktivieren",
|
||||
|
||||
@@ -265,8 +265,7 @@ export const dict = {
|
||||
"go.cta.text": "Subscribe to Go",
|
||||
"go.cta.price": "$10/month",
|
||||
"go.cta.promo": "$5 first month",
|
||||
"go.pricing.body":
|
||||
"For a named OpenCode subscriber. $5 first month, then $10/month. Service accounts are not eligible. Cancel any time.",
|
||||
"go.pricing.body": "Use with any agent. $5 first month, then $10/month. Top up credit if needed. Cancel any time.",
|
||||
"go.graph.free": "Free",
|
||||
"go.graph.freePill": "Big Pickle and free models",
|
||||
"go.graph.go": "Go",
|
||||
@@ -305,15 +304,15 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Includes Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, and Hy3",
|
||||
"go.how.title": "How Go works",
|
||||
"go.how.body": "Go is available to a named subscriber using OpenCode. No API key needs to be copied.",
|
||||
"go.how.step1.title": "Subscribe to Go",
|
||||
"go.how.step1.beforeLink": "in",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Connect OpenCode",
|
||||
"go.how.step2.link": "run opencode2 console login",
|
||||
"go.how.step2.afterLink": "and authorize the device in your browser",
|
||||
"go.how.body": "Go starts at $5 for your first month, then $10/month. You can use it with OpenCode or any agent.",
|
||||
"go.how.step1.title": "Create an account",
|
||||
"go.how.step1.beforeLink": "follow the",
|
||||
"go.how.step1.link": "setup instructions",
|
||||
"go.how.step2.title": "Subscribe to Go",
|
||||
"go.how.step2.link": "$5 first month",
|
||||
"go.how.step2.afterLink": "then $10/month with generous limits",
|
||||
"go.how.step3.title": "Start coding",
|
||||
"go.how.step3.body": "with the opencode provider",
|
||||
"go.how.step3.body": "with reliable access to open-source models",
|
||||
"go.privacy.title": "Your privacy is important to us",
|
||||
"go.privacy.body":
|
||||
"The plan is designed primarily for international users, with models hosted in the US, EU, and Singapore for stable global access.",
|
||||
@@ -347,9 +346,8 @@ export const dict = {
|
||||
"go.faq.a6": "If you need more usage, you can top up credit in your account.",
|
||||
"go.faq.q7": "Can I cancel?",
|
||||
"go.faq.a7": "Yes, you can cancel any time.",
|
||||
"go.faq.q8": "Who can use Go?",
|
||||
"go.faq.a8":
|
||||
"Go is available to the named subscriber through OpenCode. Other coding agents and service accounts are not eligible.",
|
||||
"go.faq.q8": "Can I use Go with other coding agents?",
|
||||
"go.faq.a8": "Yes, you can use Go with any agent. Follow the setup instructions in your preferred coding agent.",
|
||||
|
||||
"go.faq.q9": "What is the difference between free models and Go?",
|
||||
"go.faq.a9":
|
||||
@@ -656,7 +654,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Monthly Usage",
|
||||
"workspace.lite.subscription.resetsIn": "Resets in",
|
||||
"workspace.lite.subscription.useBalance": "Use your available balance after reaching the usage limits",
|
||||
"workspace.lite.subscription.selectProvider": 'Select the "opencode" provider to use Go models.',
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Select "OpenCode Go" as the provider in your opencode configuration to use Go models.',
|
||||
"workspace.lite.providers.title": "Providers",
|
||||
"workspace.lite.providers.description": "Control which providers are used for routing.",
|
||||
"workspace.lite.providers.useChina": "Enable models hosted in China",
|
||||
|
||||
@@ -269,7 +269,8 @@ export const dict = {
|
||||
"go.cta.text": "Suscribirse a Go",
|
||||
"go.cta.price": "10 $/mes",
|
||||
"go.cta.promo": "$5 el primer mes",
|
||||
"go.pricing.body": "Go comienza en $5 el primer mes, luego 10 $/mes.",
|
||||
"go.pricing.body":
|
||||
"Úsalo con cualquier agente. $5 el primer mes, luego 10 $/mes. Recarga crédito si es necesario. Cancela en cualquier momento.",
|
||||
"go.graph.free": "Gratis",
|
||||
"go.graph.freePill": "Big Pickle y modelos gratuitos",
|
||||
"go.graph.go": "Go",
|
||||
@@ -309,15 +310,15 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Incluye Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash y Hy3",
|
||||
"go.how.title": "Cómo funciona Go",
|
||||
"go.how.body": "Go comienza en $5 el primer mes, luego 10 $/mes.",
|
||||
"go.how.step1.title": "Suscribirse a Go",
|
||||
"go.how.step1.beforeLink": "en",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Conectar OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "y autoriza el dispositivo en tu navegador",
|
||||
"go.how.body": "Go comienza en $5 el primer mes, luego 10 $/mes. Puedes usarlo con OpenCode o cualquier agente.",
|
||||
"go.how.step1.title": "Crear una cuenta",
|
||||
"go.how.step1.beforeLink": "sigue las",
|
||||
"go.how.step1.link": "instrucciones de configuración",
|
||||
"go.how.step2.title": "Suscribirse a Go",
|
||||
"go.how.step2.link": "$5 el primer mes",
|
||||
"go.how.step2.afterLink": "luego 10 $/mes con límites generosos",
|
||||
"go.how.step3.title": "Empezar a programar",
|
||||
"go.how.step3.body": "con el proveedor opencode",
|
||||
"go.how.step3.body": "con acceso fiable a modelos de código abierto",
|
||||
"go.privacy.title": "Tu privacidad es importante para nosotros",
|
||||
"go.privacy.body":
|
||||
"El plan está diseñado principalmente para usuarios internacionales, con modelos alojados en EE. UU., UE y Singapur para un acceso global estable.",
|
||||
@@ -350,8 +351,9 @@ export const dict = {
|
||||
"go.faq.a6": "Si necesitas más uso, puedes recargar crédito en tu cuenta.",
|
||||
"go.faq.q7": "¿Puedo cancelar?",
|
||||
"go.faq.a7": "Sí, puedes cancelar en cualquier momento.",
|
||||
"go.faq.q8": "¿Qué acceso está aplazado?",
|
||||
"go.faq.a8": "La compatibilidad con agentes externos y cuentas de servicio está aplazada.",
|
||||
"go.faq.q8": "¿Puedo usar Go con otros agentes de programación?",
|
||||
"go.faq.a8":
|
||||
"Sí, puedes usar Go con cualquier agente. Sigue las instrucciones de configuración en tu agente de programación preferido.",
|
||||
|
||||
"go.faq.q9": "¿Cuál es la diferencia entre los modelos gratuitos y Go?",
|
||||
"go.faq.a9":
|
||||
@@ -658,7 +660,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Uso Mensual",
|
||||
"workspace.lite.subscription.resetsIn": "Se reinicia en",
|
||||
"workspace.lite.subscription.useBalance": "Usa tu saldo disponible después de alcanzar los límites de uso",
|
||||
"workspace.lite.subscription.selectProvider": "Selecciona el proveedor opencode para usar los modelos de Go.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Selecciona "OpenCode Go" como proveedor en tu configuración de opencode para usar los modelos Go.',
|
||||
"workspace.lite.providers.title": "Proveedores",
|
||||
"workspace.lite.providers.description": "Controla qué proveedores se usan para el enrutamiento.",
|
||||
"workspace.lite.providers.useChina": "Activar modelos alojados en China",
|
||||
|
||||
@@ -270,7 +270,8 @@ export const dict = {
|
||||
"go.cta.text": "S'abonner à Go",
|
||||
"go.cta.price": "10 $/mois",
|
||||
"go.cta.promo": "$5 le premier mois",
|
||||
"go.pricing.body": "Go commence à $5 pour le premier mois, puis 10 $/mois.",
|
||||
"go.pricing.body":
|
||||
"Utilisez-le avec n'importe quel agent. $5 le premier mois, puis 10 $/mois. Rechargez du crédit si nécessaire. Annulez à tout moment.",
|
||||
"go.graph.free": "Gratuit",
|
||||
"go.graph.freePill": "Big Pickle et modèles gratuits",
|
||||
"go.graph.go": "Go",
|
||||
@@ -309,15 +310,16 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Inclut Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash et Hy3",
|
||||
"go.how.title": "Comment fonctionne Go",
|
||||
"go.how.body": "Go commence à $5 pour le premier mois, puis 10 $/mois.",
|
||||
"go.how.step1.title": "Abonnez-vous à Go",
|
||||
"go.how.step1.beforeLink": "dans",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Connecter OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "et autorisez l’appareil dans votre navigateur",
|
||||
"go.how.body":
|
||||
"Go commence à $5 pour le premier mois, puis 10 $/mois. Vous pouvez l'utiliser avec OpenCode ou n'importe quel agent.",
|
||||
"go.how.step1.title": "Créez un compte",
|
||||
"go.how.step1.beforeLink": "suivez les",
|
||||
"go.how.step1.link": "instructions de configuration",
|
||||
"go.how.step2.title": "Abonnez-vous à Go",
|
||||
"go.how.step2.link": "$5 le premier mois",
|
||||
"go.how.step2.afterLink": "puis 10 $/mois avec des limites généreuses",
|
||||
"go.how.step3.title": "Commencez à coder",
|
||||
"go.how.step3.body": "avec le fournisseur opencode",
|
||||
"go.how.step3.body": "avec un accès fiable aux modèles open source",
|
||||
"go.privacy.title": "Votre vie privée est importante pour nous",
|
||||
"go.privacy.body":
|
||||
"Le plan est conçu principalement pour les utilisateurs internationaux, avec des modèles hébergés aux États-Unis, dans l'UE et à Singapour pour un accès mondial stable.",
|
||||
@@ -350,8 +352,9 @@ export const dict = {
|
||||
"go.faq.a6": "Si vous avez besoin de plus d'utilisation, vous pouvez recharger du crédit dans votre compte.",
|
||||
"go.faq.q7": "Puis-je annuler ?",
|
||||
"go.faq.a7": "Oui, vous pouvez annuler à tout moment.",
|
||||
"go.faq.q8": "Quel accès est reporté ?",
|
||||
"go.faq.a8": "La prise en charge des agents externes et des comptes de service est reportée.",
|
||||
"go.faq.q8": "Puis-je utiliser Go avec d'autres agents de code ?",
|
||||
"go.faq.a8":
|
||||
"Oui, vous pouvez utiliser Go avec n'importe quel agent. Suivez les instructions de configuration dans votre agent de code préféré.",
|
||||
"go.faq.q9": "Quelle est la différence entre les modèles gratuits et Go ?",
|
||||
"go.faq.a9":
|
||||
"Les modèles gratuits incluent Big Pickle ainsi que des modèles promotionnels disponibles à ce moment-là, avec un quota de 200 requêtes/jour. Go inclut Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash et Hy3 avec des quotas de requêtes plus élevés appliqués sur des fenêtres glissantes (5 heures, hebdomadaire et mensuelle), à peu près équivalent à 12 $ par 5 heures, 30 $ par semaine et 60 $ par mois (le nombre réel de requêtes varie selon le modèle et l'utilisation).",
|
||||
@@ -663,7 +666,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.resetsIn": "Réinitialisation dans",
|
||||
"workspace.lite.subscription.useBalance":
|
||||
"Utilisez votre solde disponible après avoir atteint les limites d'utilisation",
|
||||
"workspace.lite.subscription.selectProvider": "Sélectionnez le fournisseur opencode pour utiliser les modèles Go.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Sélectionnez "OpenCode Go" comme fournisseur dans votre configuration opencode pour utiliser les modèles Go.',
|
||||
"workspace.lite.providers.title": "Fournisseurs",
|
||||
"workspace.lite.providers.description": "Contrôlez les fournisseurs utilisés pour le routage.",
|
||||
"workspace.lite.providers.useChina": "Activer les modèles hébergés en Chine",
|
||||
|
||||
@@ -266,7 +266,8 @@ export const dict = {
|
||||
"go.cta.text": "Abbonati a Go",
|
||||
"go.cta.price": "$10/mese",
|
||||
"go.cta.promo": "$5 il primo mese",
|
||||
"go.pricing.body": "Go inizia a $5 per il primo mese, poi $10/mese.",
|
||||
"go.pricing.body":
|
||||
"Usalo con qualsiasi agente. $5 il primo mese, poi $10/mese. Ricarica il credito se necessario. Annulla in qualsiasi momento.",
|
||||
"go.graph.free": "Gratis",
|
||||
"go.graph.freePill": "Big Pickle e modelli gratuiti",
|
||||
"go.graph.go": "Go",
|
||||
@@ -305,15 +306,15 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Include Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3",
|
||||
"go.how.title": "Come funziona Go",
|
||||
"go.how.body": "Go inizia a $5 per il primo mese, poi $10/mese.",
|
||||
"go.how.step1.title": "Abbonati a Go",
|
||||
"go.how.step1.beforeLink": "in",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Connetti OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "e autorizza il dispositivo nel browser",
|
||||
"go.how.body": "Go inizia a $5 per il primo mese, poi $10/mese. Puoi usarlo con OpenCode o qualsiasi agente.",
|
||||
"go.how.step1.title": "Crea un account",
|
||||
"go.how.step1.beforeLink": "segui le",
|
||||
"go.how.step1.link": "istruzioni di configurazione",
|
||||
"go.how.step2.title": "Abbonati a Go",
|
||||
"go.how.step2.link": "$5 il primo mese",
|
||||
"go.how.step2.afterLink": "poi $10/mese con limiti generosi",
|
||||
"go.how.step3.title": "Inizia a programmare",
|
||||
"go.how.step3.body": "con il provider opencode",
|
||||
"go.how.step3.body": "con accesso affidabile ai modelli open source",
|
||||
"go.privacy.title": "La tua privacy è importante per noi",
|
||||
"go.privacy.body":
|
||||
"Il piano è progettato principalmente per gli utenti internazionali, con modelli ospitati negli Stati Uniti, UE e Singapore per un accesso globale stabile.",
|
||||
@@ -346,8 +347,9 @@ export const dict = {
|
||||
"go.faq.a6": "Se hai bisogno di più utilizzo, puoi ricaricare il credito nel tuo account.",
|
||||
"go.faq.q7": "Posso annullare?",
|
||||
"go.faq.a7": "Sì, puoi annullare in qualsiasi momento.",
|
||||
"go.faq.q8": "Quale accesso è rinviato?",
|
||||
"go.faq.a8": "Il supporto per agenti esterni e account di servizio è rinviato.",
|
||||
"go.faq.q8": "Posso usare Go con altri agenti di coding?",
|
||||
"go.faq.a8":
|
||||
"Sì, puoi usare Go con qualsiasi agente. Segui le istruzioni di configurazione nel tuo agente di coding preferito.",
|
||||
|
||||
"go.faq.q9": "Qual è la differenza tra i modelli gratuiti e Go?",
|
||||
"go.faq.a9":
|
||||
@@ -656,7 +658,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Utilizzo Mensile",
|
||||
"workspace.lite.subscription.resetsIn": "Si resetta tra",
|
||||
"workspace.lite.subscription.useBalance": "Usa il tuo saldo disponibile dopo aver raggiunto i limiti di utilizzo",
|
||||
"workspace.lite.subscription.selectProvider": "Seleziona il provider opencode per usare i modelli Go.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Seleziona "OpenCode Go" come provider nella tua configurazione opencode per utilizzare i modelli Go.',
|
||||
"workspace.lite.providers.title": "Provider",
|
||||
"workspace.lite.providers.description": "Controlla quali provider vengono usati per il routing.",
|
||||
"workspace.lite.providers.useChina": "Abilita modelli ospitati in Cina",
|
||||
|
||||
@@ -265,7 +265,8 @@ export const dict = {
|
||||
"go.cta.text": "Goを購読する",
|
||||
"go.cta.price": "$10/月",
|
||||
"go.cta.promo": "初月 $5",
|
||||
"go.pricing.body": "Goは最初の月$5、その後$10/月で始まります。",
|
||||
"go.pricing.body":
|
||||
"どのエージェントでも使えます。最初の月$5、その後$10/月。必要に応じてクレジットを追加。いつでもキャンセルできます。",
|
||||
"go.graph.free": "無料",
|
||||
"go.graph.freePill": "Big Pickleと無料モデル",
|
||||
"go.graph.go": "Go",
|
||||
@@ -305,15 +306,15 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash、Hy3を含む",
|
||||
"go.how.title": "Goの仕組み",
|
||||
"go.how.body": "Goは最初の月$5、その後$10/月で始まります。",
|
||||
"go.how.step1.title": "Goを購読する",
|
||||
"go.how.step1.beforeLink": "で",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "OpenCodeを接続",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "ブラウザでデバイスを承認します",
|
||||
"go.how.body": "Goは最初の月$5、その後$10/月で始まります。OpenCodeまたは任意のエージェントで使えます。",
|
||||
"go.how.step1.title": "アカウントを作成",
|
||||
"go.how.step1.beforeLink": "",
|
||||
"go.how.step1.link": "セットアップ手順はこちら",
|
||||
"go.how.step2.title": "Goを購読する",
|
||||
"go.how.step2.link": "最初の月$5",
|
||||
"go.how.step2.afterLink": "その後$10/月、ゆとりある上限付き",
|
||||
"go.how.step3.title": "コーディングを開始",
|
||||
"go.how.step3.body": "opencodeプロバイダーで",
|
||||
"go.how.step3.body": "オープンソースモデルへの安定したアクセスで",
|
||||
"go.privacy.title": "あなたのプライバシーは私たちにとって重要です",
|
||||
"go.privacy.body":
|
||||
"このプランは主に海外ユーザー向けに設計されており、米国、EU、シンガポールでホストされたモデルにより安定したグローバルアクセスを提供します。",
|
||||
@@ -346,8 +347,9 @@ export const dict = {
|
||||
"go.faq.a6": "利用枠を追加したい場合は、アカウントでクレジットをチャージできます。",
|
||||
"go.faq.q7": "キャンセルできますか？",
|
||||
"go.faq.a7": "はい、いつでもキャンセル可能です。",
|
||||
"go.faq.q8": "どのアクセスが延期されていますか？",
|
||||
"go.faq.a8": "外部エージェントとサービスアカウントのサポートは延期されています。",
|
||||
"go.faq.q8": "他のコーディングエージェントでGoを使えますか？",
|
||||
"go.faq.a8":
|
||||
"はい、Goは任意のエージェントで使用できます。お使いのコーディングエージェントのセットアップ手順に従ってください。",
|
||||
|
||||
"go.faq.q9": "無料モデルとGoの違いは何ですか？",
|
||||
"go.faq.a9":
|
||||
@@ -656,7 +658,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "月間利用量",
|
||||
"workspace.lite.subscription.resetsIn": "リセットまで",
|
||||
"workspace.lite.subscription.useBalance": "利用限度額に達したら利用可能な残高を使用する",
|
||||
"workspace.lite.subscription.selectProvider": "Goモデルを使用するにはopencodeプロバイダーを選択してください。",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
"Go モデルを使用するには、opencode の設定で「OpenCode Go」をプロバイダーとして選択してください。",
|
||||
"workspace.lite.providers.title": "プロバイダー",
|
||||
"workspace.lite.providers.description": "ルーティングに使用するプロバイダーを管理します。",
|
||||
"workspace.lite.providers.useChina": "中国でホストされているモデルを有効にする",
|
||||
|
||||
@@ -262,7 +262,8 @@ export const dict = {
|
||||
"go.cta.text": "Go 구독하기",
|
||||
"go.cta.price": "$10/월",
|
||||
"go.cta.promo": "첫 달 $5",
|
||||
"go.pricing.body": "Go는 첫 달 $5, 이후 $10/월로 시작합니다.",
|
||||
"go.pricing.body":
|
||||
"어떤 에이전트와도 사용할 수 있습니다. 첫 달 $5, 이후 $10/월. 필요하면 크레딧을 충전하세요. 언제든지 취소할 수 있습니다.",
|
||||
"go.graph.free": "무료",
|
||||
"go.graph.freePill": "Big Pickle 및 무료 모델",
|
||||
"go.graph.go": "Go",
|
||||
@@ -302,15 +303,15 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, Hy3 포함",
|
||||
"go.how.title": "Go 작동 방식",
|
||||
"go.how.body": "Go는 첫 달 $5, 이후 $10/월로 시작합니다.",
|
||||
"go.how.step1.title": "Go 구독",
|
||||
"go.how.step1.beforeLink": "에서",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "OpenCode 연결",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "브라우저에서 기기를 승인하세요",
|
||||
"go.how.body": "Go는 첫 달 $5, 이후 $10/월로 시작합니다. OpenCode 또는 어떤 에이전트와도 함께 사용할 수 있습니다.",
|
||||
"go.how.step1.title": "계정 생성",
|
||||
"go.how.step1.beforeLink": "",
|
||||
"go.how.step1.link": "설정 지침을 따르세요",
|
||||
"go.how.step2.title": "Go 구독",
|
||||
"go.how.step2.link": "첫 달 $5",
|
||||
"go.how.step2.afterLink": "이후 $10/월, 넉넉한 한도 포함",
|
||||
"go.how.step3.title": "코딩 시작",
|
||||
"go.how.step3.body": "opencode 공급자로",
|
||||
"go.how.step3.body": "오픈 소스 모델에 대한 안정적인 액세스와 함께",
|
||||
"go.privacy.title": "귀하의 프라이버시는 우리에게 중요합니다",
|
||||
"go.privacy.body":
|
||||
"이 플랜은 주로 글로벌 사용자를 위해 설계되었으며, 안정적인 글로벌 액세스를 위해 미국, EU, 싱가포르에 모델이 호스팅되어 있습니다.",
|
||||
@@ -342,8 +343,8 @@ export const dict = {
|
||||
"go.faq.a6": "사용량이 더 필요한 경우 계정에서 크레딧을 충전할 수 있습니다.",
|
||||
"go.faq.q7": "취소할 수 있나요?",
|
||||
"go.faq.a7": "네, 언제든지 취소할 수 있습니다.",
|
||||
"go.faq.q8": "어떤 액세스가 연기되었나요?",
|
||||
"go.faq.a8": "외부 에이전트와 서비스 계정 지원은 연기되었습니다.",
|
||||
"go.faq.q8": "다른 코딩 에이전트와 Go를 사용할 수 있나요?",
|
||||
"go.faq.a8": "네, Go는 어떤 에이전트와도 사용할 수 있습니다. 선호하는 코딩 에이전트의 설정 지침을 따르세요.",
|
||||
|
||||
"go.faq.q9": "무료 모델과 Go의 차이점은 무엇인가요?",
|
||||
"go.faq.a9":
|
||||
@@ -649,7 +650,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "월간 사용량",
|
||||
"workspace.lite.subscription.resetsIn": "초기화까지 남은 시간:",
|
||||
"workspace.lite.subscription.useBalance": "사용 한도 도달 후에는 보유 잔액 사용",
|
||||
"workspace.lite.subscription.selectProvider": "Go 모델을 사용하려면 opencode 공급자를 선택하세요.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Go 모델을 사용하려면 opencode 설정에서 "OpenCode Go"를 공급자로 선택하세요.',
|
||||
"workspace.lite.providers.title": "공급자",
|
||||
"workspace.lite.providers.description": "라우팅에 사용할 공급자를 제어합니다.",
|
||||
"workspace.lite.providers.useChina": "중국에서 호스팅되는 모델 활성화",
|
||||
|
||||
@@ -266,7 +266,8 @@ export const dict = {
|
||||
"go.cta.text": "Abonner på Go",
|
||||
"go.cta.price": "$10/måned",
|
||||
"go.cta.promo": "$5 første måned",
|
||||
"go.pricing.body": "Go starter på $5 for den første måneden, deretter $10/måned.",
|
||||
"go.pricing.body":
|
||||
"Bruk med hvilken som helst agent. $5 første måned, deretter $10/måned. Fyll på kreditt ved behov. Avslutt når som helst.",
|
||||
"go.graph.free": "Gratis",
|
||||
"go.graph.freePill": "Big Pickle og gratis modeller",
|
||||
"go.graph.go": "Go",
|
||||
@@ -305,15 +306,16 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3",
|
||||
"go.how.title": "Hvordan Go fungerer",
|
||||
"go.how.body": "Go starter på $5 for den første måneden, deretter $10/måned.",
|
||||
"go.how.step1.title": "Abonner på Go",
|
||||
"go.how.step1.beforeLink": "i",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Koble til OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "og godkjenn enheten i nettleseren",
|
||||
"go.how.body":
|
||||
"Go starter på $5 for den første måneden, deretter $10/måned. Du kan bruke det med OpenCode eller hvilken som helst agent.",
|
||||
"go.how.step1.title": "Opprett en konto",
|
||||
"go.how.step1.beforeLink": "følg",
|
||||
"go.how.step1.link": "oppsettsinstruksjonene",
|
||||
"go.how.step2.title": "Abonner på Go",
|
||||
"go.how.step2.link": "$5 første måned",
|
||||
"go.how.step2.afterLink": "deretter $10/måned med sjenerøse grenser",
|
||||
"go.how.step3.title": "Begynn å kode",
|
||||
"go.how.step3.body": "med opencode-leverandøren",
|
||||
"go.how.step3.body": "med pålitelig tilgang til åpen kildekode-modeller",
|
||||
"go.privacy.title": "Personvernet ditt er viktig for oss",
|
||||
"go.privacy.body":
|
||||
"Planen er primært designet for internasjonale brukere, med modeller driftet i USA, EU og Singapore for stabil global tilgang.",
|
||||
@@ -346,8 +348,9 @@ export const dict = {
|
||||
"go.faq.a6": "Hvis du trenger mer bruk, kan du fylle på kreditt i kontoen din.",
|
||||
"go.faq.q7": "Kan jeg avslutte?",
|
||||
"go.faq.a7": "Ja, du kan avslutte når som helst.",
|
||||
"go.faq.q8": "Hvilken tilgang er utsatt?",
|
||||
"go.faq.a8": "Støtte for eksterne agenter og tjenestekontoer er utsatt.",
|
||||
"go.faq.q8": "Kan jeg bruke Go med andre kodeagenter?",
|
||||
"go.faq.a8":
|
||||
"Ja, du kan bruke Go med hvilken som helst agent. Følg oppsettinstruksjonene i din foretrukne kodeagent.",
|
||||
|
||||
"go.faq.q9": "Hva er forskjellen mellom gratis modeller og Go?",
|
||||
"go.faq.a9":
|
||||
@@ -654,7 +657,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Månedlig bruk",
|
||||
"workspace.lite.subscription.resetsIn": "Nullstilles om",
|
||||
"workspace.lite.subscription.useBalance": "Bruk din tilgjengelige saldo etter å ha nådd bruksgrensene",
|
||||
"workspace.lite.subscription.selectProvider": "Velg opencode-leverandøren for å bruke Go-modeller.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Velg "OpenCode Go" som leverandør i opencode-konfigurasjonen din for å bruke Go-modeller.',
|
||||
"workspace.lite.providers.title": "Leverandører",
|
||||
"workspace.lite.providers.description": "Kontroller hvilke leverandører som brukes til ruting.",
|
||||
"workspace.lite.providers.useChina": "Aktiver modeller hostet i Kina",
|
||||
|
||||
@@ -267,7 +267,8 @@ export const dict = {
|
||||
"go.cta.text": "Zasubskrybuj Go",
|
||||
"go.cta.price": "$10/miesiąc",
|
||||
"go.cta.promo": "$5 pierwszy miesiąc",
|
||||
"go.pricing.body": "Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc.",
|
||||
"go.pricing.body":
|
||||
"Używaj z dowolnym agentem. $5 za pierwszy miesiąc, potem $10/miesiąc. Doładuj konto w razie potrzeby. Anuluj w dowolnym momencie.",
|
||||
"go.graph.free": "Darmowe",
|
||||
"go.graph.freePill": "Big Pickle i darmowe modele",
|
||||
"go.graph.go": "Go",
|
||||
@@ -306,15 +307,16 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Zawiera Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash i Hy3",
|
||||
"go.how.title": "Jak działa Go",
|
||||
"go.how.body": "Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc.",
|
||||
"go.how.step1.title": "Zasubskrybuj Go",
|
||||
"go.how.step1.beforeLink": "w",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Połącz OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "i zatwierdź urządzenie w przeglądarce",
|
||||
"go.how.body":
|
||||
"Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc. Możesz go używać z OpenCode lub dowolnym agentem.",
|
||||
"go.how.step1.title": "Załóż konto",
|
||||
"go.how.step1.beforeLink": "postępuj zgodnie z",
|
||||
"go.how.step1.link": "instrukcją konfiguracji",
|
||||
"go.how.step2.title": "Zasubskrybuj Go",
|
||||
"go.how.step2.link": "$5 za pierwszy miesiąc",
|
||||
"go.how.step2.afterLink": "potem $10/miesiąc z hojnymi limitami",
|
||||
"go.how.step3.title": "Zacznij kodować",
|
||||
"go.how.step3.body": "z dostawcą opencode",
|
||||
"go.how.step3.body": "z niezawodnym dostępem do modeli open source",
|
||||
"go.privacy.title": "Twoja prywatność jest dla nas ważna",
|
||||
"go.privacy.body":
|
||||
"Plan został zaprojektowany głównie dla użytkowników międzynarodowych, z modelami hostowanymi w USA, UE i Singapurze, aby zapewnić stabilny globalny dostęp.",
|
||||
@@ -347,8 +349,9 @@ export const dict = {
|
||||
"go.faq.a6": "Jeśli potrzebujesz większego użycia, możesz doładować środki na swoim koncie.",
|
||||
"go.faq.q7": "Czy mogę anulować?",
|
||||
"go.faq.a7": "Tak, możesz anulować w dowolnym momencie.",
|
||||
"go.faq.q8": "Jaki dostęp jest odroczony?",
|
||||
"go.faq.a8": "Obsługa zewnętrznych agentów i kont usług jest odroczona.",
|
||||
"go.faq.q8": "Czy mogę używać Go z innymi agentami kodującymi?",
|
||||
"go.faq.a8":
|
||||
"Tak, możesz używać Go z dowolnym agentem. Postępuj zgodnie z instrukcjami konfiguracji w swoim preferowanym agencie.",
|
||||
|
||||
"go.faq.q9": "Jaka jest różnica między darmowymi modelami a Go?",
|
||||
"go.faq.a9":
|
||||
@@ -655,7 +658,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Użycie miesięczne",
|
||||
"workspace.lite.subscription.resetsIn": "Resetuje się za",
|
||||
"workspace.lite.subscription.useBalance": "Użyj dostępnego salda po osiągnięciu limitów użycia",
|
||||
"workspace.lite.subscription.selectProvider": "Wybierz dostawcę opencode, aby używać modeli Go.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Wybierz "OpenCode Go" jako dostawcę w konfiguracji opencode, aby używać modeli Go.',
|
||||
"workspace.lite.providers.title": "Dostawcy",
|
||||
"workspace.lite.providers.description": "Kontroluj, którzy dostawcy są używani do routingu.",
|
||||
"workspace.lite.providers.useChina": "Włącz modele hostowane w Chinach",
|
||||
|
||||
@@ -270,7 +270,8 @@ export const dict = {
|
||||
"go.cta.text": "Подписаться на Go",
|
||||
"go.cta.price": "$10/месяц",
|
||||
"go.cta.promo": "$5 первый месяц",
|
||||
"go.pricing.body": "Go начинается с $5 за первый месяц, затем $10/месяц.",
|
||||
"go.pricing.body":
|
||||
"Используйте с любым агентом. $5 за первый месяц, затем $10/месяц. Пополняйте баланс при необходимости. Отменить можно в любое время.",
|
||||
"go.graph.free": "Бесплатно",
|
||||
"go.graph.freePill": "Big Pickle и бесплатные модели",
|
||||
"go.graph.go": "Go",
|
||||
@@ -310,15 +311,16 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Включает Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash и Hy3",
|
||||
"go.how.title": "Как работает Go",
|
||||
"go.how.body": "Go начинается с $5 за первый месяц, затем $10/месяц.",
|
||||
"go.how.step1.title": "Подпишитесь на Go",
|
||||
"go.how.step1.beforeLink": "в",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Подключить OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "и подтвердите устройство в браузере",
|
||||
"go.how.body":
|
||||
"Go начинается с $5 за первый месяц, затем $10/месяц. Вы можете использовать его с OpenCode или любым агентом.",
|
||||
"go.how.step1.title": "Создайте аккаунт",
|
||||
"go.how.step1.beforeLink": "следуйте",
|
||||
"go.how.step1.link": "инструкциям по настройке",
|
||||
"go.how.step2.title": "Подпишитесь на Go",
|
||||
"go.how.step2.link": "$5 за первый месяц",
|
||||
"go.how.step2.afterLink": "затем $10/месяц с щедрыми лимитами",
|
||||
"go.how.step3.title": "Начните кодить",
|
||||
"go.how.step3.body": "с провайдером opencode",
|
||||
"go.how.step3.body": "с надежным доступом к open-source моделям",
|
||||
"go.privacy.title": "Ваша приватность важна для нас",
|
||||
"go.privacy.body":
|
||||
"План разработан в первую очередь для международных пользователей, с моделями, размещенными в США, ЕС и Сингапуре для стабильного глобального доступа.",
|
||||
@@ -351,8 +353,9 @@ export const dict = {
|
||||
"go.faq.a6": "Если вам нужно больше использования, вы можете пополнить баланс в своем аккаунте.",
|
||||
"go.faq.q7": "Могу ли я отменить подписку?",
|
||||
"go.faq.a7": "Да, вы можете отменить подписку в любое время.",
|
||||
"go.faq.q8": "Какая поддержка отложена?",
|
||||
"go.faq.a8": "Поддержка внешних агентов и сервисных аккаунтов отложена.",
|
||||
"go.faq.q8": "Могу ли я использовать Go с другими кодинг-агентами?",
|
||||
"go.faq.a8":
|
||||
"Да, вы можете использовать Go с любым агентом. Следуйте инструкциям по настройке в вашем предпочитаемом агенте.",
|
||||
|
||||
"go.faq.q9": "В чем разница между бесплатными моделями и Go?",
|
||||
"go.faq.a9":
|
||||
@@ -661,7 +664,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Ежемесячное использование",
|
||||
"workspace.lite.subscription.resetsIn": "Сброс через",
|
||||
"workspace.lite.subscription.useBalance": "Использовать доступный баланс после достижения лимитов",
|
||||
"workspace.lite.subscription.selectProvider": "Выберите провайдер opencode для использования моделей Go.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Выберите "OpenCode Go" в качестве провайдера в настройках opencode для использования моделей Go.',
|
||||
"workspace.lite.providers.title": "Провайдеры",
|
||||
"workspace.lite.providers.description": "Управляйте провайдерами, используемыми для маршрутизации.",
|
||||
"workspace.lite.providers.useChina": "Включить модели, размещенные в Китае",
|
||||
|
||||
@@ -265,7 +265,7 @@ export const dict = {
|
||||
"go.cta.text": "สมัครสมาชิก Go",
|
||||
"go.cta.price": "$10/เดือน",
|
||||
"go.cta.promo": "$5 เดือนแรก",
|
||||
"go.pricing.body": "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน",
|
||||
"go.pricing.body": "ใช้กับเอเจนต์ใดก็ได้ $5 ในเดือนแรก จากนั้น $10/เดือน เติมเครดิตหากจำเป็น ยกเลิกได้ตลอดเวลา",
|
||||
"go.graph.free": "ฟรี",
|
||||
"go.graph.freePill": "Big Pickle และโมเดลฟรี",
|
||||
"go.graph.go": "Go",
|
||||
@@ -304,15 +304,15 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"รวมถึง Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash และ Hy3",
|
||||
"go.how.title": "Go ทำงานอย่างไร",
|
||||
"go.how.body": "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน",
|
||||
"go.how.step1.title": "สมัครสมาชิก Go",
|
||||
"go.how.step1.beforeLink": "ใน",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "เชื่อมต่อ OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "และอนุมัติอุปกรณ์ในเบราว์เซอร์",
|
||||
"go.how.body": "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน คุณสามารถใช้กับ OpenCode หรือเอเจนต์ใดก็ได้",
|
||||
"go.how.step1.title": "สร้างบัญชี",
|
||||
"go.how.step1.beforeLink": "ทำตาม",
|
||||
"go.how.step1.link": "คำแนะนำการตั้งค่า",
|
||||
"go.how.step2.title": "สมัครสมาชิก Go",
|
||||
"go.how.step2.link": "$5 เดือนแรก",
|
||||
"go.how.step2.afterLink": "จากนั้น $10/เดือน พร้อมขีดจำกัดที่เอื้อเฟื้อ",
|
||||
"go.how.step3.title": "เริ่มเขียนโค้ด",
|
||||
"go.how.step3.body": "ด้วยผู้ให้บริการ opencode",
|
||||
"go.how.step3.body": "ด้วยการเข้าถึงโมเดลโอเพนซอร์สที่เชื่อถือได้",
|
||||
"go.privacy.title": "ความเป็นส่วนตัวของคุณสำคัญสำหรับเรา",
|
||||
"go.privacy.body":
|
||||
"แผนนี้ออกแบบมาเพื่อผู้ใช้งานระหว่างประเทศเป็นหลัก โดยมีโมเดลโฮสต์ในสหรัฐอเมริกา สหภาพยุโรป และสิงคโปร์ เพื่อการเข้าถึงทั่วโลกที่เสถียร",
|
||||
@@ -345,8 +345,8 @@ export const dict = {
|
||||
"go.faq.a6": "หากคุณต้องการใช้งานเพิ่ม คุณสามารถเติมเครดิตในบัญชีของคุณได้",
|
||||
"go.faq.q7": "ฉันสามารถยกเลิกได้หรือไม่?",
|
||||
"go.faq.a7": "ได้ คุณสามารถยกเลิกได้ตลอดเวลา",
|
||||
"go.faq.q8": "การเข้าถึงใดถูกเลื่อนออกไป?",
|
||||
"go.faq.a8": "การรองรับเอเจนต์ภายนอกและบัญชีบริการถูกเลื่อนออกไป",
|
||||
"go.faq.q8": "ฉันสามารถใช้ Go กับเอเจนต์เขียนโค้ดอื่นได้หรือไม่?",
|
||||
"go.faq.a8": "ได้ คุณสามารถใช้ Go กับเอเจนต์ใดก็ได้ ทำตามคำแนะนำการตั้งค่าในเอเจนต์เขียนโค้ดที่คุณต้องการ",
|
||||
|
||||
"go.faq.q9": "ความแตกต่างระหว่างโมเดลฟรีและ Go คืออะไร?",
|
||||
"go.faq.a9":
|
||||
@@ -653,7 +653,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "การใช้งานรายเดือน",
|
||||
"workspace.lite.subscription.resetsIn": "รีเซ็ตใน",
|
||||
"workspace.lite.subscription.useBalance": "ใช้ยอดคงเหลือของคุณหลังจากถึงขีดจำกัดการใช้งาน",
|
||||
"workspace.lite.subscription.selectProvider": "เลือกผู้ให้บริการ opencode เพื่อใช้โมเดล Go",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'เลือก "OpenCode Go" เป็นผู้ให้บริการในการตั้งค่า opencode ของคุณเพื่อใช้โมเดล Go',
|
||||
"workspace.lite.providers.title": "ผู้ให้บริการ",
|
||||
"workspace.lite.providers.description": "ควบคุมผู้ให้บริการที่ใช้สำหรับการกำหนดเส้นทาง",
|
||||
"workspace.lite.providers.useChina": "เปิดใช้โมเดลที่โฮสต์ในจีน",
|
||||
|
||||
@@ -268,7 +268,8 @@ export const dict = {
|
||||
"go.cta.text": "Go'ya abone ol",
|
||||
"go.cta.price": "Ayda 10$",
|
||||
"go.cta.promo": "İlk ay $5",
|
||||
"go.pricing.body": "Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar.",
|
||||
"go.pricing.body":
|
||||
"Herhangi bir ajanla kullanın. İlk ay $5, sonrasında ayda 10$. Gerekirse kredi yükleyin. İstediğiniz zaman iptal edin.",
|
||||
"go.graph.free": "Ücretsiz",
|
||||
"go.graph.freePill": "Big Pickle ve ücretsiz modeller",
|
||||
"go.graph.go": "Go",
|
||||
@@ -308,15 +309,16 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash ve Hy3 içerir",
|
||||
"go.how.title": "Go nasıl çalışır?",
|
||||
"go.how.body": "Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar.",
|
||||
"go.how.step1.title": "Go'ya abone olun",
|
||||
"go.how.step1.beforeLink": "içinde",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "OpenCode’u bağlayın",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "ve cihazı tarayıcınızda onaylayın",
|
||||
"go.how.body":
|
||||
"Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar. OpenCode veya herhangi bir ajanla kullanabilirsiniz.",
|
||||
"go.how.step1.title": "Bir hesap oluşturun",
|
||||
"go.how.step1.beforeLink": "takip edin",
|
||||
"go.how.step1.link": "kurulum talimatları",
|
||||
"go.how.step2.title": "Go'ya abone olun",
|
||||
"go.how.step2.link": "İlk ay $5",
|
||||
"go.how.step2.afterLink": "sonrasında cömert limitlerle ayda 10$",
|
||||
"go.how.step3.title": "Kodlamaya başlayın",
|
||||
"go.how.step3.body": "opencode sağlayıcısıyla",
|
||||
"go.how.step3.body": "açık kaynaklı modellere güvenilir erişimle",
|
||||
"go.privacy.title": "Gizliliğiniz bizim için önemlidir",
|
||||
"go.privacy.body":
|
||||
"Bu plan öncelikle uluslararası kullanıcılar için tasarlanmış olup, istikrarlı küresel erişim için modeller ABD, AB ve Singapur'da barındırılmaktadır.",
|
||||
@@ -349,8 +351,9 @@ export const dict = {
|
||||
"go.faq.a6": "Daha fazla kullanıma ihtiyacınız varsa, hesabınıza kredi yükleyebilirsiniz.",
|
||||
"go.faq.q7": "İptal edebilir miyim?",
|
||||
"go.faq.a7": "Evet, istediğiniz zaman iptal edebilirsiniz.",
|
||||
"go.faq.q8": "Hangi erişim ertelendi?",
|
||||
"go.faq.a8": "Harici ajan ve hizmet hesabı desteği ertelendi.",
|
||||
"go.faq.q8": "Go'yu diğer kodlama ajanlarıyla kullanabilir miyim?",
|
||||
"go.faq.a8":
|
||||
"Evet, Go'yu herhangi bir ajanla kullanabilirsiniz. Tercih ettiğiniz kodlama ajanındaki kurulum talimatlarını izleyin.",
|
||||
|
||||
"go.faq.q9": "Ücretsiz modeller ve Go arasındaki fark nedir?",
|
||||
"go.faq.a9":
|
||||
@@ -657,7 +660,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Aylık Kullanım",
|
||||
"workspace.lite.subscription.resetsIn": "Sıfırlama süresi",
|
||||
"workspace.lite.subscription.useBalance": "Kullanım limitlerine ulaştıktan sonra mevcut bakiyenizi kullanın",
|
||||
"workspace.lite.subscription.selectProvider": "Go modellerini kullanmak için opencode sağlayıcısını seçin.",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
'Go modellerini kullanmak için opencode yapılandırmanızda "OpenCode Go"\'yu sağlayıcı olarak seçin.',
|
||||
"workspace.lite.providers.title": "Sağlayıcılar",
|
||||
"workspace.lite.providers.description": "Yönlendirme için hangi sağlayıcıların kullanılacağını kontrol edin.",
|
||||
"workspace.lite.providers.useChina": "Çin'de barındırılan modelleri etkinleştir",
|
||||
|
||||
@@ -267,7 +267,8 @@ export const dict = {
|
||||
"go.cta.text": "Підписатися на Go",
|
||||
"go.cta.price": "$10/місяць",
|
||||
"go.cta.promo": "$5 перший місяць",
|
||||
"go.pricing.body": "Go починається від $5 за перший місяць, потім $10/місяць.",
|
||||
"go.pricing.body":
|
||||
"Використовуйте з будь-яким агентом. $5 перший місяць, потім $10/місяць. Поповнюйте за потреби. Скасуйте в будь-який час.",
|
||||
"go.graph.free": "Безкоштовно",
|
||||
"go.graph.freePill": "Big Pickle та безкоштовні моделі",
|
||||
"go.graph.go": "Go",
|
||||
@@ -306,15 +307,16 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"Включає Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash та Hy3",
|
||||
"go.how.title": "Як працює Go",
|
||||
"go.how.body": "Go починається від $5 за перший місяць, потім $10/місяць.",
|
||||
"go.how.step1.title": "Підпишіться на Go",
|
||||
"go.how.step1.beforeLink": "в",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "Підключити OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "і підтвердьте пристрій у браузері",
|
||||
"go.how.body":
|
||||
"Go починається від $5 за перший місяць, потім $10/місяць. Використовуйте з OpenCode або будь-яким агентом.",
|
||||
"go.how.step1.title": "Створіть обліковий запис",
|
||||
"go.how.step1.beforeLink": "дотримуйтесь",
|
||||
"go.how.step1.link": "інструкцій з налаштування",
|
||||
"go.how.step2.title": "Підпишіться на Go",
|
||||
"go.how.step2.link": "$5 перший місяць",
|
||||
"go.how.step2.afterLink": "потім $10/місяць із щедрими лімітами",
|
||||
"go.how.step3.title": "Почніть кодувати",
|
||||
"go.how.step3.body": "з провайдером opencode",
|
||||
"go.how.step3.body": "з надійним доступом до моделей з відкритим кодом",
|
||||
"go.privacy.title": "Ваша конфіденційність важлива для нас",
|
||||
"go.privacy.body":
|
||||
"План розроблений переважно для міжнародних користувачів, з моделями, розміщеними в США, ЄС та Сінгапурі для стабільного глобального доступу.",
|
||||
@@ -347,8 +349,8 @@ export const dict = {
|
||||
"go.faq.a6": "Якщо вам потрібно більше використання, ви можете поповнити баланс в обліковому записі.",
|
||||
"go.faq.q7": "Чи можна скасувати?",
|
||||
"go.faq.a7": "Так, ви можете скасувати в будь-який час.",
|
||||
"go.faq.q8": "Яку підтримку відкладено?",
|
||||
"go.faq.a8": "Підтримку зовнішніх агентів і сервісних акаунтів відкладено.",
|
||||
"go.faq.q8": "Чи можна використовувати Go з іншими агентами кодування?",
|
||||
"go.faq.a8": "Так, ви можете використовувати Go з будь-яким агентом.",
|
||||
|
||||
"go.faq.q9": "Яка різниця між безкоштовними моделями та Go?",
|
||||
"go.faq.a9":
|
||||
@@ -655,7 +657,7 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "Місячне використання",
|
||||
"workspace.lite.subscription.resetsIn": "Скидається через",
|
||||
"workspace.lite.subscription.useBalance": "Використовуйте доступний баланс після досягнення лімітів",
|
||||
"workspace.lite.subscription.selectProvider": "Виберіть провайдер opencode, щоб використовувати моделі Go.",
|
||||
"workspace.lite.subscription.selectProvider": 'Виберіть "OpenCode Go" як провайдера в конфігурації opencode.',
|
||||
"workspace.lite.providers.title": "Провайдери",
|
||||
"workspace.lite.providers.description": "Керуйте провайдерами, які використовуються для маршрутизації.",
|
||||
"workspace.lite.providers.useChina": "Увімкнути моделі, розміщені в Китаї",
|
||||
|
||||
@@ -256,7 +256,7 @@ export const dict = {
|
||||
"go.cta.text": "订阅 Go",
|
||||
"go.cta.price": "$10/月",
|
||||
"go.cta.promo": "首月 $5",
|
||||
"go.pricing.body": "Go 起价为首月 $5，之后 $10/月。",
|
||||
"go.pricing.body": "可配合任何代理使用。首月 $5，之后 $10/月。如有需要可充值。随时取消。",
|
||||
"go.graph.free": "免费",
|
||||
"go.graph.freePill": "Big Pickle 和免费模型",
|
||||
"go.graph.go": "Go",
|
||||
@@ -295,15 +295,15 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"包含 Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 和 Hy3",
|
||||
"go.how.title": "Go 如何工作",
|
||||
"go.how.body": "Go 起价为首月 $5，之后 $10/月。",
|
||||
"go.how.step1.title": "订阅 Go",
|
||||
"go.how.step1.beforeLink": "在",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "连接 OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "并在浏览器中批准设备",
|
||||
"go.how.body": "Go 起价为首月 $5，之后 $10/月。您可以将其与 OpenCode 或任何代理搭配使用。",
|
||||
"go.how.step1.title": "创建账户",
|
||||
"go.how.step1.beforeLink": "遵循",
|
||||
"go.how.step1.link": "设置说明",
|
||||
"go.how.step2.title": "订阅 Go",
|
||||
"go.how.step2.link": "首月 $5",
|
||||
"go.how.step2.afterLink": "之后 $10/月，额度充裕",
|
||||
"go.how.step3.title": "开始编程",
|
||||
"go.how.step3.body": "使用 opencode 提供商",
|
||||
"go.how.step3.body": "可靠访问开源模型",
|
||||
"go.privacy.title": "您的隐私对我们很重要",
|
||||
"go.privacy.body": "该计划主要面向国际用户设计，模型部署在美国、欧盟和新加坡，以确保稳定的全球访问。",
|
||||
"go.privacy.contactAfter": "如果您有任何问题。",
|
||||
@@ -332,8 +332,8 @@ export const dict = {
|
||||
"go.faq.a6": "如果您需要更多用量，可以在账户中充值余额。",
|
||||
"go.faq.q7": "我可以取消吗？",
|
||||
"go.faq.a7": "可以，您可以随时取消。",
|
||||
"go.faq.q8": "哪些访问支持尚未推出？",
|
||||
"go.faq.a8": "外部代理和服务账户支持尚未推出。",
|
||||
"go.faq.q8": "我可以在其他编程代理中使用 Go 吗？",
|
||||
"go.faq.a8": "可以，您可以在任何代理中使用 Go。请遵循您首选编程代理中的设置说明。",
|
||||
|
||||
"go.faq.q9": "免费模型和 Go 之间的区别是什么？",
|
||||
"go.faq.a9":
|
||||
@@ -634,7 +634,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "每月用量",
|
||||
"workspace.lite.subscription.resetsIn": "重置于",
|
||||
"workspace.lite.subscription.useBalance": "达到使用限额后使用您的可用余额",
|
||||
"workspace.lite.subscription.selectProvider": "选择 opencode 提供商以使用 Go 模型。",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
"在你的 opencode 配置中选择「OpenCode Go」作为提供商，即可使用 Go 模型。",
|
||||
"workspace.lite.providers.title": "提供商",
|
||||
"workspace.lite.providers.description": "控制用于路由的提供商。",
|
||||
"workspace.lite.providers.useChina": "启用部署在中国的模型",
|
||||
|
||||
@@ -256,7 +256,7 @@ export const dict = {
|
||||
"go.cta.text": "訂閱 Go",
|
||||
"go.cta.price": "$10/月",
|
||||
"go.cta.promo": "首月 $5",
|
||||
"go.pricing.body": "Go 起價為首月 $5，之後 $10/月。",
|
||||
"go.pricing.body": "可搭配任何代理使用。首月 $5，之後 $10/月。如有需要可儲值。隨時取消。",
|
||||
"go.graph.free": "免費",
|
||||
"go.graph.freePill": "Big Pickle 與免費模型",
|
||||
"go.graph.go": "Go",
|
||||
@@ -295,15 +295,15 @@ export const dict = {
|
||||
"go.problem.item4":
|
||||
"包含 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 與 Hy3",
|
||||
"go.how.title": "Go 如何運作",
|
||||
"go.how.body": "Go 起價為首月 $5，之後 $10/月。",
|
||||
"go.how.step1.title": "訂閱 Go",
|
||||
"go.how.step1.beforeLink": "在",
|
||||
"go.how.step1.link": "OpenCode Console",
|
||||
"go.how.step2.title": "連接 OpenCode",
|
||||
"go.how.step2.link": "opencode2 console login",
|
||||
"go.how.step2.afterLink": "並在瀏覽器中核准裝置",
|
||||
"go.how.body": "Go 起價為首月 $5，之後 $10/月。您可以將其與 OpenCode 或任何代理搭配使用。",
|
||||
"go.how.step1.title": "建立帳號",
|
||||
"go.how.step1.beforeLink": "遵循",
|
||||
"go.how.step1.link": "設定說明",
|
||||
"go.how.step2.title": "訂閱 Go",
|
||||
"go.how.step2.link": "首月 $5",
|
||||
"go.how.step2.afterLink": "之後 $10/月，額度充裕",
|
||||
"go.how.step3.title": "開始編碼",
|
||||
"go.how.step3.body": "使用 opencode 提供商",
|
||||
"go.how.step3.body": "穩定存取開源模型",
|
||||
"go.privacy.title": "你的隱私對我們很重要",
|
||||
"go.privacy.body": "該方案主要面向國際用戶設計，模型託管在美國、歐盟和新加坡，以確保全球穩定存取。",
|
||||
"go.privacy.contactAfter": "如果你有任何問題。",
|
||||
@@ -332,8 +332,8 @@ export const dict = {
|
||||
"go.faq.a6": "如果你需要更多使用量，可以在帳戶中儲值額度。",
|
||||
"go.faq.q7": "我可以取消嗎？",
|
||||
"go.faq.a7": "可以，你可以隨時取消。",
|
||||
"go.faq.q8": "哪些存取支援尚未推出？",
|
||||
"go.faq.a8": "外部代理和服務帳戶支援尚未推出。",
|
||||
"go.faq.q8": "我可以在其他編碼代理中使用 Go 嗎？",
|
||||
"go.faq.a8": "可以，你可以將 Go 與任何代理一起使用。請在你偏好的編碼代理中按照設定說明進行配置。",
|
||||
|
||||
"go.faq.q9": "免費模型與 Go 有什麼區別？",
|
||||
"go.faq.a9":
|
||||
@@ -634,7 +634,8 @@ export const dict = {
|
||||
"workspace.lite.subscription.monthlyUsage": "每月使用量",
|
||||
"workspace.lite.subscription.resetsIn": "重置時間：",
|
||||
"workspace.lite.subscription.useBalance": "達到使用限制後使用您的可用餘額",
|
||||
"workspace.lite.subscription.selectProvider": "選擇 opencode 提供商以使用 Go 模型。",
|
||||
"workspace.lite.subscription.selectProvider":
|
||||
"在您的 opencode 設定中選擇「OpenCode Go」作為提供商，即可使用 Go 模型。",
|
||||
"workspace.lite.providers.title": "提供商",
|
||||
"workspace.lite.providers.description": "控制用於路由的提供商。",
|
||||
"workspace.lite.providers.useChina": "啟用部署在中國的模型",
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import "./index.css"
|
||||
import { createAsync, query } from "@solidjs/router"
|
||||
import { Title, Meta } from "@solidjs/meta"
|
||||
import { For, createSignal, onCleanup, onMount } from "solid-js"
|
||||
import { For, createMemo, createSignal, onCleanup, onMount } from "solid-js"
|
||||
//import { HttpHeader } from "@solidjs/start"
|
||||
import goLogoLight from "../../asset/go-ornate-light.svg"
|
||||
import goLogoDark from "../../asset/go-ornate-dark.svg"
|
||||
@@ -10,11 +11,17 @@ import { Legal } from "~/component/legal"
|
||||
import { Footer } from "~/component/footer"
|
||||
import { Header } from "~/component/header"
|
||||
import { config } from "~/config"
|
||||
import { getLastSeenWorkspaceID } from "../workspace/common"
|
||||
import { IconMiniMax, IconMiMo, IconZai, IconAlibaba, IconDeepSeek } from "~/component/icon"
|
||||
import { useI18n } from "~/context/i18n"
|
||||
import { useLanguage } from "~/context/language"
|
||||
import { LocaleLinks } from "~/component/locale-links"
|
||||
|
||||
const checkLoggedIn = query(async () => {
|
||||
"use server"
|
||||
return await getLastSeenWorkspaceID().catch(() => undefined)
|
||||
}, "checkLoggedIn.get")
|
||||
|
||||
const models = [
|
||||
"Grok 4.5",
|
||||
"GLM-5.2",
|
||||
@@ -181,7 +188,8 @@ function LimitsGraph(props: { href: string }) {
|
||||
}
|
||||
|
||||
export default function Home() {
|
||||
const subscribeUrl = "/console/go"
|
||||
const workspaceID = createAsync(() => checkLoggedIn())
|
||||
const subscribeUrl = createMemo(() => (workspaceID() ? `/workspace/${workspaceID()}/go` : "/auth"))
|
||||
const i18n = useI18n()
|
||||
const language = useLanguage()
|
||||
return (
|
||||
@@ -199,6 +207,8 @@ export default function Home() {
|
||||
<Meta name="twitter:title" content={i18n.t("go.title")} />
|
||||
<Meta name="twitter:description" content={i18n.t("go.meta.description")} />
|
||||
<Meta name="twitter:image" content="/social-share-black.png" />
|
||||
<Meta name="opencode:auth" content={workspaceID() ? "true" : "false"} />
|
||||
|
||||
<div data-component="container">
|
||||
<Header go hideGetStarted />
|
||||
|
||||
@@ -299,7 +309,7 @@ export default function Home() {
|
||||
</div>
|
||||
*/}
|
||||
</div>
|
||||
<a href={subscribeUrl}>
|
||||
<a href={subscribeUrl()}>
|
||||
<span>
|
||||
<For
|
||||
each={i18n
|
||||
@@ -372,7 +382,7 @@ export default function Home() {
|
||||
<span>[1]</span>
|
||||
<div>
|
||||
<strong>{i18n.t("go.how.step1.title")}</strong> - {i18n.t("go.how.step1.beforeLink")}{" "}
|
||||
<a href="/console/go" title={i18n.t("go.how.step1.link")}>
|
||||
<a href={language.route("/docs/go/#how-it-works")} title={i18n.t("go.how.step1.link")}>
|
||||
{i18n.t("go.how.step1.link")}
|
||||
</a>
|
||||
</div>
|
||||
@@ -381,7 +391,8 @@ export default function Home() {
|
||||
<span>[2]</span>
|
||||
<div>
|
||||
<strong>{i18n.t("go.how.step2.title")}</strong> -{" "}
|
||||
<a href="/v2/docs/go">{i18n.t("go.how.step2.link")}</a> {i18n.t("go.how.step2.afterLink")}
|
||||
<a href={language.route("/docs/go/#pricing")}>{i18n.t("go.how.step2.link")}</a>{" "}
|
||||
{i18n.t("go.how.step2.afterLink")}
|
||||
</div>
|
||||
</li>
|
||||
<li>
|
||||
@@ -418,7 +429,7 @@ export default function Home() {
|
||||
{i18n.t("go.faq.a4.p1.beforePricing")}{" "}
|
||||
<a href={language.route("/docs/go/#pricing")}>{i18n.t("go.faq.a4.p1.pricingLink")}</a>{" "}
|
||||
{i18n.t("go.faq.a4.p1.afterPricing")} {i18n.t("go.faq.a4.p2.beforeAccount")}{" "}
|
||||
<a href={subscribeUrl}>{i18n.t("go.faq.a4.p2.accountLink")}</a>. {i18n.t("go.faq.a4.p3")}
|
||||
<a href={subscribeUrl()}>{i18n.t("go.faq.a4.p2.accountLink")}</a>. {i18n.t("go.faq.a4.p3")}
|
||||
</Faq>
|
||||
</li>
|
||||
<li>
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user