mirror of
https://github.com/anomalyco/opencode.git
synced 2026-10-02 13:36:22 +00:00
Compare commits
9
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Kit Langton
|
29dc70cff4 | ||
|
Kit Langton
|
15406155aa | ||
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Kit Langton
|
abfaa5210b | ||
|
Kit Langton
|
fbf47807fb | ||
|
Kit Langton
|
67146125dc | ||
|
Kit Langton
|
8ba230e2fb | ||
|
Kit Langton
|
12e1821cc7 | ||
|
Kit Langton
|
63e66ca3e6 | ||
|
Kit Langton
|
cc782a0cc8 |
No files matched your search
@@ -0,0 +1,5 @@
|
||||
---
|
||||
"@opencode/core": patch
|
||||
---
|
||||
|
||||
Correct directory page headings when the read offset is zero.
|
||||
@@ -45,16 +45,14 @@ runs:
|
||||
- name: Get cache directory
|
||||
id: cache
|
||||
shell: bash
|
||||
run: |
|
||||
echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"
|
||||
echo "version=$(bun --version)" >> "$GITHUB_OUTPUT"
|
||||
run: echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"
|
||||
|
||||
- name: Restore Bun dependencies
|
||||
id: bun-cache
|
||||
uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
|
||||
with:
|
||||
path: ${{ steps.cache.outputs.dir }}
|
||||
key: ${{ runner.os }}-${{ runner.arch }}-bun-${{ steps.cache.outputs.version }}-${{ hashFiles('bun.lock', 'patches/**') }}
|
||||
key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}
|
||||
|
||||
- name: Install setuptools for distutils compatibility
|
||||
run: python3 -m pip install setuptools || pip install setuptools || true
|
||||
@@ -77,4 +75,4 @@ runs:
|
||||
uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
|
||||
with:
|
||||
path: ${{ steps.cache.outputs.dir }}
|
||||
key: ${{ steps.bun-cache.outputs.cache-primary-key }}
|
||||
key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}
|
||||
@@ -7,10 +7,6 @@ on:
|
||||
branches: [dev, v2]
|
||||
workflow_dispatch:
|
||||
|
||||
concurrency:
|
||||
group: ${{ case(github.ref == 'refs/heads/dev', format('{0}-{1}', github.workflow, github.run_id), format('{0}-{1}', github.workflow, github.event.pull_request.number || github.ref)) }}
|
||||
cancel-in-progress: true
|
||||
|
||||
jobs:
|
||||
check:
|
||||
name: typecheck
|
||||
|
||||
@@ -15,7 +15,7 @@ jobs:
|
||||
close-non-compliant:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Close non-compliant issues and PRs after 72 hours
|
||||
- name: Close non-compliant issues and PRs after 2 hours
|
||||
uses: actions/github-script@f28e40c7f34bde8b3046d885e986cb6290c5673b # v7.1.0
|
||||
with:
|
||||
script: |
|
||||
@@ -33,7 +33,7 @@ jobs:
|
||||
}
|
||||
|
||||
const now = Date.now();
|
||||
const seventyTwoHours = 72 * 60 * 60 * 1000;
|
||||
const twoHours = 2 * 60 * 60 * 1000;
|
||||
const orgMemberAssociations = new Set(['OWNER', 'MEMBER']);
|
||||
const agentLogin = 'opencode-agent[bot]';
|
||||
const { data: file } = await github.rest.repos.getContent({
|
||||
@@ -87,14 +87,14 @@ jobs:
|
||||
if (!complianceComment) continue;
|
||||
|
||||
const commentAge = now - new Date(complianceComment.created_at).getTime();
|
||||
if (commentAge < seventyTwoHours) {
|
||||
core.info(`${kind} #${item.number} still within 72-hour window (${Math.round(commentAge / 60000)}m elapsed)`);
|
||||
if (commentAge < twoHours) {
|
||||
core.info(`${kind} #${item.number} still within 2-hour window (${Math.round(commentAge / 60000)}m elapsed)`);
|
||||
continue;
|
||||
}
|
||||
|
||||
const closeMessage = isPR
|
||||
? 'This pull request has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 72-hour window.\n\nFeel free to open a new pull request that follows our guidelines.'
|
||||
: 'This issue has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 72-hour window.\n\nFeel free to open a new issue that follows our issue templates.';
|
||||
? 'This pull request has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 2-hour window.\n\nFeel free to open a new pull request that follows our guidelines.'
|
||||
: 'This issue has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 2-hour window.\n\nFeel free to open a new issue that follows our issue templates.';
|
||||
|
||||
await github.rest.issues.createComment({
|
||||
owner: context.repo.owner,
|
||||
@@ -129,5 +129,5 @@ jobs:
|
||||
});
|
||||
}
|
||||
|
||||
core.info(`Closed non-compliant ${kind} #${item.number} after 72-hour window`);
|
||||
core.info(`Closed non-compliant ${kind} #${item.number} after 2-hour window`);
|
||||
}
|
||||
@@ -107,7 +107,7 @@ jobs:
|
||||
|
||||
If the issue is NOT compliant and the author association is not OWNER or MEMBER, start the comment with:
|
||||
<!-- issue-compliance -->
|
||||
Then explain what needs to be fixed and that they have 72 hours to edit the issue before it is automatically closed. Also add the label needs:compliance to the issue using: gh issue edit ${{ github.event.issue.number }} --add-label needs:compliance
|
||||
Then explain what needs to be fixed and that they have 2 hours to edit the issue before it is automatically closed. Also add the label needs:compliance to the issue using: gh issue edit ${{ github.event.issue.number }} --add-label needs:compliance
|
||||
|
||||
If duplicates were found, include a section about potential duplicates with links.
|
||||
|
||||
@@ -124,7 +124,7 @@ jobs:
|
||||
**What needs to be fixed:**
|
||||
- [specific reasons]
|
||||
|
||||
Please edit this issue to address the above within **72 hours**, or it will be automatically closed.
|
||||
Please edit this issue to address the above within **2 hours**, or it will be automatically closed.
|
||||
|
||||
[If duplicates found, add:]
|
||||
---
|
||||
|
||||
@@ -37,7 +37,7 @@ jobs:
|
||||
echo "=== Flake structure ==="
|
||||
nix flake show --all-systems
|
||||
|
||||
SYSTEMS="x86_64-linux aarch64-linux aarch64-darwin"
|
||||
SYSTEMS="x86_64-linux aarch64-linux x86_64-darwin aarch64-darwin"
|
||||
PACKAGES="opencode"
|
||||
# TODO: move 'desktop' to PACKAGES when #11755 is fixed
|
||||
OPTIONAL_PACKAGES="desktop"
|
||||
|
||||
@@ -34,6 +34,8 @@ jobs:
|
||||
runner: blacksmith-4vcpu-ubuntu-2404
|
||||
- system: aarch64-linux
|
||||
runner: blacksmith-4vcpu-ubuntu-2404-arm
|
||||
- system: x86_64-darwin
|
||||
runner: macos-15-intel
|
||||
- system: aarch64-darwin
|
||||
runner: macos-latest
|
||||
runs-on: ${{ matrix.runner }}
|
||||
@@ -124,7 +126,7 @@ jobs:
|
||||
|
||||
[ -f "$HASH_FILE" ] || echo '{"nodeModules":{}}' > "$HASH_FILE"
|
||||
|
||||
for SYSTEM in x86_64-linux aarch64-linux aarch64-darwin; do
|
||||
for SYSTEM in x86_64-linux aarch64-linux x86_64-darwin aarch64-darwin; do
|
||||
FILE="hashes/hash-${SYSTEM}/hash.txt"
|
||||
if [ -f "$FILE" ]; then
|
||||
HASH="$(tr -d '[:space:]' < "$FILE")"
|
||||
|
||||
@@ -307,7 +307,7 @@ jobs:
|
||||
**What needs to be fixed:**
|
||||
${issues.map(i => `- ${i}`).join('\n')}
|
||||
|
||||
Please edit this PR description to address the above within **72 hours**, or it will be automatically closed.
|
||||
Please edit this PR description to address the above within **2 hours**, or it will be automatically closed.
|
||||
|
||||
If you believe this was flagged incorrectly, please let a maintainer know.`;
|
||||
|
||||
|
||||
@@ -24,10 +24,6 @@ on:
|
||||
description: "Override version (optional)"
|
||||
required: false
|
||||
type: string
|
||||
release_notes:
|
||||
description: "Reviewed V2 release notes for the Discord announcement (optional)"
|
||||
required: false
|
||||
type: string
|
||||
|
||||
concurrency: ${{ github.workflow }}-${{ github.ref }}-${{ (github.ref_name == 'v2' && (inputs.version || inputs.bump) && 'release') || inputs.version || inputs.bump }}
|
||||
|
||||
@@ -657,19 +653,3 @@ jobs:
|
||||
OPENCODE_DESKTOP_DIST: /tmp/desktop
|
||||
CLOUDFLARE_ACCOUNT_ID: 15d29c8639fd3733b1b5486a2acfd968
|
||||
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
|
||||
|
||||
notify-discord-v2:
|
||||
needs:
|
||||
- version
|
||||
- publish
|
||||
if: ${{ !cancelled() && github.repository == 'anomalyco/opencode' && github.ref_name == 'v2' && needs.version.outputs.release && needs.publish.result == 'success' }}
|
||||
runs-on: blacksmith-4vcpu-ubuntu-2404
|
||||
steps:
|
||||
# Unlike dev, V2 publishes a tag rather than a GitHub Release event.
|
||||
- name: Announce V2 release in Discord
|
||||
uses: SethCohen/github-releases-to-discord@24d166886aee4646d448c8a389ff9e1ebcab3682 # v1.20.0
|
||||
with:
|
||||
webhook_url: ${{ secrets.DISCORD_WEBHOOK }}
|
||||
release_name: OpenCode V2 ${{ needs.version.outputs.tag }}
|
||||
release_body: ${{ inputs.release_notes }}
|
||||
release_html_url: https://github.com/${{ github.repository }}/tree/${{ needs.version.outputs.tag }}
|
||||
@@ -94,6 +94,12 @@ jobs:
|
||||
git config --global user.email "bot@opencode.ai"
|
||||
git config --global user.name "opencode"
|
||||
|
||||
- name: Install ffmpeg
|
||||
if: runner.os == 'Linux'
|
||||
run: |
|
||||
sudo apt-get update
|
||||
sudo apt-get install --yes ffmpeg
|
||||
|
||||
- name: Cache Turbo
|
||||
uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
|
||||
with:
|
||||
@@ -245,13 +251,6 @@ jobs:
|
||||
run: bunx playwright test --config e2e/service-worker/playwright.config.ts
|
||||
timeout-minutes: 5
|
||||
|
||||
- name: Run session UI component tests
|
||||
if: ${{ !cancelled() && env.E2E_ENABLED == 'true' }}
|
||||
run: bun --cwd packages/session-ui test:components
|
||||
env:
|
||||
CI: true
|
||||
timeout-minutes: 15
|
||||
|
||||
- name: Upload Playwright artifacts
|
||||
if: always() && env.E2E_ENABLED == 'true'
|
||||
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
|
||||
@@ -262,5 +261,3 @@ jobs:
|
||||
path: |
|
||||
packages/app/e2e/test-results
|
||||
packages/app/e2e/playwright-report
|
||||
packages/session-ui/component-tests/test-results
|
||||
packages/session-ui/component-tests/playwright-report
|
||||
+1
-94
@@ -1,9 +1,5 @@
|
||||
{
|
||||
"$schema": "https://raw.githubusercontent.com/nicolo-ribaudo/oxc-project.github.io/refs/heads/json-schema/src/public/.oxlintrc.schema.json",
|
||||
"jsPlugins": [
|
||||
{ "name": "anti-slop", "specifier": "./script/oxlint/anti-slop/index.ts" },
|
||||
{ "name": "anti-slop-effect", "specifier": "./script/oxlint/anti-slop/effect/index.ts" }
|
||||
],
|
||||
"categories": {
|
||||
"correctness": "off",
|
||||
"suspicious": "off",
|
||||
@@ -22,94 +18,5 @@
|
||||
}
|
||||
]
|
||||
},
|
||||
"overrides": [
|
||||
{
|
||||
"files": [
|
||||
"packages/app/**",
|
||||
"packages/desktop/**",
|
||||
"packages/gui-extensions/**",
|
||||
"packages/ui/**",
|
||||
"packages/session-ui/**"
|
||||
],
|
||||
"rules": {
|
||||
"oxc/no-accumulating-spread": "warn",
|
||||
"anti-slop/no-array-filter-map": "warn",
|
||||
"anti-slop/no-reduce-accumulator-copy": "warn",
|
||||
"anti-slop/no-chained-type-assertions": "warn",
|
||||
"anti-slop/no-conditional-empty-object-spread": "warn",
|
||||
"anti-slop/no-known-value-widening": "warn",
|
||||
"anti-slop/no-module-mocking": "warn",
|
||||
"anti-slop/no-object-parameters": "warn",
|
||||
"anti-slop/no-reflect-apply": "warn",
|
||||
"anti-slop/no-reflect-get": "warn",
|
||||
"anti-slop/no-runtime-typeof": "warn",
|
||||
"anti-slop/no-shape-in-symbol-names": "warn",
|
||||
"anti-slop/no-unknown-parameters": "warn",
|
||||
"anti-slop/no-unknown-returns": "warn",
|
||||
"anti-slop/no-unknown-type-aliases": "warn",
|
||||
"anti-slop/no-unsafe-dictionary-type": "warn",
|
||||
"anti-slop/no-widen-then-assert": "warn",
|
||||
"anti-slop/require-readable-spacing": "warn",
|
||||
"anti-slop/require-safety-comment-for-type-assertion": "warn"
|
||||
}
|
||||
},
|
||||
{
|
||||
"files": ["packages/app/**", "packages/desktop/**", "packages/gui-extensions/**", "packages/session-ui/**"],
|
||||
"rules": {
|
||||
"anti-slop-effect/no-manual-effect-error-tag": "warn",
|
||||
"anti-slop-effect/no-manual-tag-comparison": "warn",
|
||||
"anti-slop-effect/no-manual-tagged-construction": "warn",
|
||||
"anti-slop-effect/no-service-constructor-imports": "warn",
|
||||
"anti-slop-effect/prefer-effect-match": "warn"
|
||||
}
|
||||
},
|
||||
{
|
||||
"files": ["packages/gui-extensions/src/*/**"],
|
||||
"rules": {
|
||||
"no-restricted-imports": [
|
||||
"error",
|
||||
{
|
||||
"patterns": [
|
||||
{
|
||||
"regex": "^@opencode/(app|desktop)(/|$)",
|
||||
"message": "GUI extensions never import the app or desktop packages. Use the SDK."
|
||||
},
|
||||
{
|
||||
"regex": "^@/",
|
||||
"message": "GUI extensions never import app internals. Use the SDK."
|
||||
},
|
||||
{
|
||||
"group": ["../*/*", "!../*/contract", "!../sdk/*"],
|
||||
"message": "Import another extension only through its contract.ts."
|
||||
},
|
||||
{
|
||||
"regex": "\\.css$",
|
||||
"message": "Import CSS with ?inline and contribute it with ctx.add(Style, css)."
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
],
|
||||
"ignorePatterns": [
|
||||
"**/node_modules",
|
||||
"**/dist",
|
||||
"**/.build",
|
||||
"**/.sst",
|
||||
"**/*.d.ts",
|
||||
"**/sdk.gen.ts",
|
||||
".agent/**",
|
||||
".agents/**",
|
||||
".claude/**",
|
||||
".codex/**",
|
||||
".continue/**",
|
||||
".cursor/**",
|
||||
".gemini/**",
|
||||
".opencode/**",
|
||||
".pi/**",
|
||||
".roo/**",
|
||||
".windsurf/**",
|
||||
"script/oxlint/anti-slop/**"
|
||||
]
|
||||
"ignorePatterns": ["**/node_modules", "**/dist", "**/.build", "**/.sst", "**/*.d.ts", "**/sdk.gen.ts"]
|
||||
}
|
||||
@@ -15,7 +15,6 @@
|
||||
"@actions/artifact": "5.0.1",
|
||||
"@ast-grep/cli": "0.44.0",
|
||||
"@opencode/client": "workspace:*",
|
||||
"@oxlint/plugins": "1.60.0",
|
||||
"@tsconfig/bun": "catalog:",
|
||||
"@types/mime-types": "3.0.1",
|
||||
"@types/react": "19.2.17",
|
||||
@@ -33,7 +32,7 @@
|
||||
},
|
||||
"packages/ai": {
|
||||
"name": "@opencode/ai",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/credential-providers": "3.1057.0",
|
||||
"@opencode/schema": "workspace:*",
|
||||
@@ -55,7 +54,7 @@
|
||||
},
|
||||
"packages/app": {
|
||||
"name": "@opencode/app",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@corvu/drawer": "catalog:",
|
||||
"@dnd-kit/abstract": "0.5.0",
|
||||
@@ -65,7 +64,7 @@
|
||||
"@ibm/plex": "6.4.1",
|
||||
"@kobalte/core": "catalog:",
|
||||
"@opencode/client": "workspace:*",
|
||||
"@opencode/gui-extensions": "workspace:*",
|
||||
"@opencode/plugin-browser": "workspace:*",
|
||||
"@opencode/schema": "workspace:*",
|
||||
"@opencode/session-ui": "workspace:*",
|
||||
"@opencode/ui": "workspace:*",
|
||||
@@ -87,11 +86,13 @@
|
||||
"core-js": "3.50.0",
|
||||
"effect": "catalog:",
|
||||
"fuzzysort": "catalog:",
|
||||
"ghostty-web": "github:anomalyco/ghostty-web#83c0a07b8628b748aed073b232cb4b52a6ca11c1",
|
||||
"qr-scanner": "1.4.2",
|
||||
"remeda": "catalog:",
|
||||
"solid-js": "catalog:",
|
||||
"solid-presence": "0.2.0",
|
||||
"tailwindcss": "4.3.3",
|
||||
"uqr": "0.1.3",
|
||||
},
|
||||
"devDependencies": {
|
||||
"@happy-dom/global-registrator": "20.0.11",
|
||||
@@ -102,7 +103,6 @@
|
||||
"@types/node": "catalog:",
|
||||
"@typescript/native-preview": "catalog:",
|
||||
"diff": "catalog:",
|
||||
"ghostty-web": "github:anomalyco/ghostty-web#83c0a07b8628b748aed073b232cb4b52a6ca11c1",
|
||||
"happy-dom": "20.11.1",
|
||||
"tw-animate-css": "1.4.0",
|
||||
"vite": "8.2.2",
|
||||
@@ -112,13 +112,13 @@
|
||||
},
|
||||
"packages/cli": {
|
||||
"name": "@opencode/cli",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"bin": {
|
||||
"opencode": "./bin/opencode.cjs",
|
||||
"opencode2": "./bin/opencode2.cjs",
|
||||
},
|
||||
"dependencies": {
|
||||
"@agentclientprotocol/sdk": "1.6.0",
|
||||
"@agentclientprotocol/sdk": "1.2.1",
|
||||
"@clack/core": "1.0.0-alpha.1",
|
||||
"@clack/prompts": "1.0.0-alpha.1",
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -178,7 +178,7 @@
|
||||
},
|
||||
"packages/client": {
|
||||
"name": "@opencode/client",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@opencode/protocol": "workspace:*",
|
||||
"@opencode/schema": "workspace:*",
|
||||
@@ -194,7 +194,7 @@
|
||||
"zod": "catalog:",
|
||||
},
|
||||
"peerDependencies": {
|
||||
"effect": "4.0.0-rc.112",
|
||||
"effect": "4.0.0-rc.117",
|
||||
"solid-js": ">=1.9.0",
|
||||
},
|
||||
"optionalPeers": [
|
||||
@@ -204,7 +204,7 @@
|
||||
},
|
||||
"packages/codemode": {
|
||||
"name": "@opencode/codemode",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"acorn": "8.15.0",
|
||||
"effect": "catalog:",
|
||||
@@ -217,7 +217,7 @@
|
||||
},
|
||||
"packages/console/app": {
|
||||
"name": "@opencode/console-app",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@ibm/plex": "6.4.1",
|
||||
@@ -253,7 +253,7 @@
|
||||
},
|
||||
"packages/console/core": {
|
||||
"name": "@opencode/console-core",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-sts": "3.782.0",
|
||||
"@jsx-email/render": "1.1.1",
|
||||
@@ -280,7 +280,7 @@
|
||||
},
|
||||
"packages/console/function": {
|
||||
"name": "@opencode/console-function",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@openauthjs/openauth": "0.0.0-20250322224806",
|
||||
"@opencode/console-core": "workspace:*",
|
||||
@@ -297,7 +297,7 @@
|
||||
},
|
||||
"packages/console/mail": {
|
||||
"name": "@opencode/console-mail",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
||||
@@ -321,7 +321,7 @@
|
||||
},
|
||||
"packages/console/support": {
|
||||
"name": "@opencode/console-support",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@opencode/console-core": "workspace:*",
|
||||
@@ -341,7 +341,7 @@
|
||||
},
|
||||
"packages/core": {
|
||||
"name": "@opencode/core",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@ai-sdk/cohere": "3.0.27",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
@@ -377,7 +377,6 @@
|
||||
"https-proxy-agent": "7.0.6",
|
||||
"ignore": "7.0.5",
|
||||
"immer": "11.1.4",
|
||||
"jose": "6.0.11",
|
||||
"jsonc-parser": "3.3.1",
|
||||
"mime-types": "3.0.2",
|
||||
"tree-sitter-bash": "0.25.0",
|
||||
@@ -406,11 +405,12 @@
|
||||
"@types/node": "catalog:",
|
||||
"@types/which": "3.0.4",
|
||||
"drizzle-kit": "catalog:",
|
||||
"fast-check": "catalog:",
|
||||
},
|
||||
},
|
||||
"packages/desktop": {
|
||||
"name": "@opencode/desktop",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"electron-context-menu": "5.0.0",
|
||||
@@ -424,22 +424,26 @@
|
||||
"@lydell/node-pty": "catalog:",
|
||||
"@opencode/app": "workspace:*",
|
||||
"@opencode/client": "workspace:*",
|
||||
"@opencode/gui-extensions": "workspace:*",
|
||||
"@opencode/plugin-browser": "workspace:*",
|
||||
"@opencode/schema": "workspace:*",
|
||||
"@opencode/ui": "workspace:*",
|
||||
"@sentry/solid": "catalog:",
|
||||
"@sentry/vite-plugin": "catalog:",
|
||||
"@solid-primitives/storage": "catalog:",
|
||||
"@solidjs/meta": "catalog:",
|
||||
"@solidjs/router": "catalog:",
|
||||
"@types/bun": "catalog:",
|
||||
"@types/node": "catalog:",
|
||||
"@typescript/native-preview": "catalog:",
|
||||
"app-builder-lib": "26.15.7",
|
||||
"devtools-protocol": "0.0.1687809",
|
||||
"drizzle-kit": "catalog:",
|
||||
"drizzle-orm": "catalog:",
|
||||
"effect": "catalog:",
|
||||
"electron": "44.4.5",
|
||||
"electron": "44.4.3",
|
||||
"electron-builder": "26.15.7",
|
||||
"electron-vite": "6.0.0-beta.1",
|
||||
"puppeteer-core": "25.9.0",
|
||||
"solid-js": "catalog:",
|
||||
"typescript": "~5.6.2",
|
||||
"vite": "8.2.2",
|
||||
@@ -455,7 +459,7 @@
|
||||
},
|
||||
"packages/enterprise": {
|
||||
"name": "@opencode/enterprise",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@hono/standard-validator": "catalog:",
|
||||
"@opencode-ai/sdk": "1.18.21",
|
||||
@@ -492,7 +496,7 @@
|
||||
},
|
||||
"packages/function": {
|
||||
"name": "@opencode/function",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@octokit/auth-app": "8.0.1",
|
||||
"@octokit/rest": "catalog:",
|
||||
@@ -506,56 +510,11 @@
|
||||
"typescript": "catalog:",
|
||||
},
|
||||
},
|
||||
"packages/gui-extensions": {
|
||||
"name": "@opencode/gui-extensions",
|
||||
"version": "2.0.20",
|
||||
"dependencies": {
|
||||
"@dnd-kit/abstract": "0.5.0",
|
||||
"@dnd-kit/dom": "0.5.0",
|
||||
"@dnd-kit/solid": "0.5.0",
|
||||
"@effect/platform-node": "catalog:",
|
||||
"@kobalte/core": "catalog:",
|
||||
"@opencode/client": "workspace:*",
|
||||
"@opencode/plugin-browser": "workspace:*",
|
||||
"@opencode/schema": "workspace:*",
|
||||
"@opencode/session-ui": "workspace:*",
|
||||
"@opencode/ui": "workspace:*",
|
||||
"@opencode/util": "workspace:*",
|
||||
"@pierre/trees": "1.0.0-beta.4",
|
||||
"@solid-primitives/event-listener": "catalog:",
|
||||
"@solid-primitives/keyed": "1.5.3",
|
||||
"@solid-primitives/media": "catalog:",
|
||||
"@solid-primitives/resize-observer": "catalog:",
|
||||
"@solid-primitives/scheduled": "1.5.3",
|
||||
"@tanstack/solid-query": "5.91.4",
|
||||
"@tanstack/solid-virtual": "catalog:",
|
||||
"effect": "catalog:",
|
||||
"fuzzysort": "catalog:",
|
||||
"ghostty-web": "github:anomalyco/ghostty-web#83c0a07b8628b748aed073b232cb4b52a6ca11c1",
|
||||
"remeda": "catalog:",
|
||||
"solid-js": "catalog:",
|
||||
"solid-presence": "0.2.0",
|
||||
"uqr": "0.1.3",
|
||||
},
|
||||
"devDependencies": {
|
||||
"@happy-dom/global-registrator": "20.0.11",
|
||||
"@lydell/node-pty": "catalog:",
|
||||
"@tsconfig/node22": "catalog:",
|
||||
"@types/bun": "catalog:",
|
||||
"@types/node": "catalog:",
|
||||
"@typescript/native-preview": "catalog:",
|
||||
"devtools-protocol": "0.0.1687809",
|
||||
"electron": "44.4.5",
|
||||
"electron-updater": "6.8.9",
|
||||
"lighthouse": "13.4.1",
|
||||
"vite": "catalog:",
|
||||
},
|
||||
},
|
||||
"packages/http-recorder": {
|
||||
"name": "@opencode/http-recorder",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@effect/platform-node-shared": "4.0.0-rc.112",
|
||||
"@effect/platform-node-shared": "4.0.0-rc.117",
|
||||
},
|
||||
"devDependencies": {
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -572,7 +531,7 @@
|
||||
},
|
||||
"packages/httpapi-codegen": {
|
||||
"name": "@opencode/httpapi-codegen",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"effect": "catalog:",
|
||||
"prettier": "3.6.2",
|
||||
@@ -585,7 +544,7 @@
|
||||
},
|
||||
"packages/latex": {
|
||||
"name": "@opencode/latex",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@opencode/plugin": "workspace:*",
|
||||
"@opentui/core": "catalog:",
|
||||
@@ -599,7 +558,7 @@
|
||||
},
|
||||
"packages/merman": {
|
||||
"name": "@opencode/merman",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@opencode/plugin": "workspace:*",
|
||||
"@opentui/core": "catalog:",
|
||||
@@ -614,7 +573,7 @@
|
||||
},
|
||||
"packages/plugin": {
|
||||
"name": "@opencode/plugin",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@ai-sdk/provider": "3.0.8",
|
||||
"@opencode/ai": "workspace:*",
|
||||
@@ -640,8 +599,8 @@
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@opencode/theme": "workspace:*",
|
||||
"@opentui/core": ">=0.5.14",
|
||||
"@opentui/solid": ">=0.5.14",
|
||||
"@opentui/core": ">=0.5.12",
|
||||
"@opentui/solid": ">=0.5.12",
|
||||
"solid-js": ">=1.9.0",
|
||||
},
|
||||
"optionalPeers": [
|
||||
@@ -653,7 +612,7 @@
|
||||
},
|
||||
"packages/plugin-browser": {
|
||||
"name": "@opencode/plugin-browser",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@opencode/plugin": "workspace:*",
|
||||
"@opencode/schema": "workspace:*",
|
||||
@@ -683,7 +642,7 @@
|
||||
},
|
||||
"packages/protocol": {
|
||||
"name": "@opencode/protocol",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@opencode/schema": "workspace:*",
|
||||
"effect": "catalog:",
|
||||
@@ -698,7 +657,7 @@
|
||||
},
|
||||
"packages/schema": {
|
||||
"name": "@opencode/schema",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@standard-schema/spec": "catalog:",
|
||||
"effect": "catalog:",
|
||||
@@ -722,7 +681,7 @@
|
||||
},
|
||||
"packages/sdk": {
|
||||
"name": "@opencode/sdk",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@opencode/client": "workspace:*",
|
||||
"@opencode/core": "workspace:*",
|
||||
@@ -743,7 +702,7 @@
|
||||
},
|
||||
"packages/server": {
|
||||
"name": "@opencode/server",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@effect/platform-node": "catalog:",
|
||||
"@effect/platform-node-shared": "catalog:",
|
||||
@@ -765,7 +724,7 @@
|
||||
},
|
||||
"packages/session-ui": {
|
||||
"name": "@opencode/session-ui",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@opencode/client": "workspace:*",
|
||||
@@ -800,7 +759,7 @@
|
||||
},
|
||||
"packages/simulation": {
|
||||
"name": "@opencode/simulation",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@opencode/ai": "workspace:*",
|
||||
"@opencode/core": "workspace:*",
|
||||
@@ -820,7 +779,7 @@
|
||||
},
|
||||
"packages/stats/app": {
|
||||
"name": "@opencode/stats-app",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@ibm/plex": "6.4.1",
|
||||
"@kobalte/core": "catalog:",
|
||||
@@ -854,7 +813,7 @@
|
||||
},
|
||||
"packages/stats/core": {
|
||||
"name": "@opencode/stats-core",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-athena": "3.933.0",
|
||||
"@planetscale/database": "1.19.0",
|
||||
@@ -873,7 +832,7 @@
|
||||
},
|
||||
"packages/stats/server": {
|
||||
"name": "@opencode/stats-server",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-firehose": "3.933.0",
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -919,7 +878,7 @@
|
||||
},
|
||||
"packages/theme": {
|
||||
"name": "@opencode/theme",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@opentui/core": "catalog:",
|
||||
"effect": "catalog:",
|
||||
@@ -933,7 +892,7 @@
|
||||
},
|
||||
"packages/tui": {
|
||||
"name": "@opencode/tui",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@opencode/client": "workspace:*",
|
||||
"@opencode/core": "workspace:*",
|
||||
@@ -967,7 +926,7 @@
|
||||
},
|
||||
"packages/ui": {
|
||||
"name": "@opencode/ui",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@pierre/diffs": "catalog:",
|
||||
@@ -1002,7 +961,7 @@
|
||||
},
|
||||
"packages/util": {
|
||||
"name": "@opencode/util",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@effect/opentelemetry": "catalog:",
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -1040,7 +999,7 @@
|
||||
},
|
||||
"packages/web": {
|
||||
"name": "@opencode/web",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"@astrojs/cloudflare": "12.6.3",
|
||||
"@astrojs/markdown-remark": "6.3.1",
|
||||
@@ -1081,7 +1040,7 @@
|
||||
},
|
||||
"services/update": {
|
||||
"name": "@opencode/update",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"dependencies": {
|
||||
"jose": "6.0.11",
|
||||
"semver": "catalog:",
|
||||
@@ -1147,10 +1106,10 @@
|
||||
"catalog": {
|
||||
"@cloudflare/workers-types": "4.20251008.0",
|
||||
"@corvu/drawer": "0.2.4",
|
||||
"@effect/opentelemetry": "4.0.0-rc.112",
|
||||
"@effect/platform-node": "4.0.0-rc.112",
|
||||
"@effect/platform-node-shared": "4.0.0-rc.112",
|
||||
"@effect/sql-sqlite-bun": "4.0.0-rc.112",
|
||||
"@effect/opentelemetry": "4.0.0-rc.117",
|
||||
"@effect/platform-node": "4.0.0-rc.117",
|
||||
"@effect/platform-node-shared": "4.0.0-rc.117",
|
||||
"@effect/sql-sqlite-bun": "4.0.0-rc.117",
|
||||
"@hono/standard-validator": "0.2.0",
|
||||
"@hono/zod-validator": "0.4.2",
|
||||
"@kobalte/core": "0.13.13",
|
||||
@@ -1158,10 +1117,10 @@
|
||||
"@npmcli/arborist": "9.4.0",
|
||||
"@octokit/rest": "22.0.0",
|
||||
"@openauthjs/openauth": "0.0.0-20250322224806",
|
||||
"@opentui/core": "0.5.14",
|
||||
"@opentui/keymap": "0.5.14",
|
||||
"@opentui/solid": "0.5.14",
|
||||
"@pierre/diffs": "1.5.1",
|
||||
"@opentui/core": "0.5.12",
|
||||
"@opentui/keymap": "0.5.12",
|
||||
"@opentui/solid": "0.5.12",
|
||||
"@pierre/diffs": "1.2.10",
|
||||
"@playwright/test": "1.59.1",
|
||||
"@sentry/solid": "10.71.0",
|
||||
"@sentry/vite-plugin": "5.4.0",
|
||||
@@ -1190,7 +1149,8 @@
|
||||
"dompurify": "3.4.14",
|
||||
"drizzle-kit": "1.0.0-rc.5-ab785fc",
|
||||
"drizzle-orm": "1.0.0-rc.5-169397b",
|
||||
"effect": "4.0.0-rc.112",
|
||||
"effect": "4.0.0-rc.117",
|
||||
"fast-check": "4.9.0",
|
||||
"fuzzysort": "3.1.0",
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@@ -1722,13 +1682,13 @@
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"@opentui/solid": ["@opentui/solid@0.5.12", "", { "dependencies": { "@babel/core": "7.28.0", "@babel/preset-typescript": "7.27.1", "@opentui/core": "0.5.12", "babel-plugin-module-resolver": "5.0.2", "babel-preset-solid": "1.9.12", "entities": "7.0.1", "s-js": "^0.4.9" }, "peerDependencies": { "solid-js": "1.9.12" } }, "sha512-hAiVlVMtT7AkHGblKwcW1YAuXtxkSy1XSf/RRc4j3IlG3mTNX0bhJdnGOo3Xw14EqeZMp41Mcp5WzHAzMm/DzA=="],
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"@oslojs/asn1": ["@oslojs/asn1@1.0.0", "", { "dependencies": { "@oslojs/binary": "1.0.0" } }, "sha512-zw/wn0sj0j0QKbIXfIlnEcTviaCzYOY3V5rAyjR6YtOByFtJiT574+8p9Wlach0lZH9fddD4yb9laEAIl4vXQA=="],
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@@ -2520,8 +2466,6 @@
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"@oxlint/binding-win32-x64-msvc": ["@oxlint/binding-win32-x64-msvc@1.60.0", "", { "os": "win32", "cpu": "x64" }, "sha512-JOro4ZcfBLamJCyfURQmOQByoorgOdx3ZjAkSqnb/CyG/i+lN3KoV5LAgk5ZAW6DPq7/Cx7n23f8DuTWXTWgyQ=="],
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"@oxlint/plugins": ["@oxlint/plugins@1.60.0", "", {}, "sha512-wxEoVVAS5FQAXiA8jPY+NWTOTKTzbSViMfW7yU5OQ7+f34W0KYfy2iuSLC9o1fiYn5xt3LQLxZBREFJtDlQLRw=="],
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"@pagefind/darwin-arm64": ["@pagefind/darwin-arm64@1.5.2", "", { "os": "darwin", "cpu": "arm64" }, "sha512-MXpI+7HsAdPkvJ0gk9xj9g541BCqBZOBbdwj9g6lB5LCj6kSV6nqDSjzcAJwvOsfu0fjwvC8hQU+ecfhp+MpiQ=="],
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"@pagefind/darwin-x64": ["@pagefind/darwin-x64@1.5.2", "", { "os": "darwin", "cpu": "x64" }, "sha512-IojxFWMEJe0RQ7PQ3KXQsPIImNsbpPYpoZ+QUDrL8fAl/O27IX+LVLs74/UzEZy5uA2LD8Nz1AiwKr72vrkZQw=="],
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@@ -2576,11 +2520,11 @@
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"@peculiar/webcrypto": ["@peculiar/webcrypto@1.7.1", "", { "dependencies": { "@peculiar/asn1-schema": "^2.7.0", "@peculiar/json-schema": "^1.1.12", "@peculiar/utils": "^2.0.2", "tslib": "^2.8.1", "webcrypto-core": "^1.9.2" } }, "sha512-ODOov0sGMJMf3jPonOkgGqPknTsu+DdQ7kD++gz8aI+aFMOMHFbWAA2taqXXVTdP+OTOQR/znGvSpmkeI0WTYQ=="],
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"@pierre/diffs": ["@pierre/diffs@1.2.10", "", { "dependencies": { "@pierre/theme": "1.0.3", "@pierre/theming": "0.0.1", "@shikijs/transformers": "^3.0.0 || ^4.0.0", "diff": "8.0.3", "hast-util-to-html": "9.0.5", "lru_map": "0.4.1", "shiki": "^3.0.0 || ^4.0.0" }, "peerDependencies": { "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0" } }, "sha512-rPeAmDWarxFVTQpaf4y6wTxjZxU44xKJKoJti2zU21P06DVd9nRHZX+xSIObLB307Qjpaesyb1x/j0z94t7vLw=="],
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"@pierre/theme": ["@pierre/theme@2.0.0", "", {}, "sha512-yNDd9GYLQl1mEUJR8AneJ5e4ohLIHQd/wZLWr4fagt78vS2RwwZNW530vVgHqXFAyFVcFlRmGUD5ramXH46OXw=="],
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"@pierre/theme": ["@pierre/theme@1.0.3", "", {}, "sha512-sWHv11TMoqKxKDgTIk5VbhQjdPhs8DCcBxbjh3mRlS3YOM/OcrWoGX6MM8eBGn9cUu3M46Py0JnxsG2nJaFTuA=="],
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"@pierre/theming": ["@pierre/theming@1.0.1", "", { "peerDependencies": { "@pierre/theme": "^1.1.0 || ^2.0.0", "@shikijs/themes": "^3.0.0 || ^4.0.0", "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0", "shiki": "^3.0.0 || ^4.0.0" }, "optionalPeers": ["@pierre/theme", "@shikijs/themes", "react", "react-dom", "shiki"] }, "sha512-WCI5Qd7iprDpISL9fBYOLe8RV53+b7mFNA3bPzl60/2CKCSrsKN8zEcep6Y3BAzvARlmca50zGjDodqPGiTUKA=="],
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"@pierre/theming": ["@pierre/theming@0.0.1", "", { "peerDependencies": { "@pierre/theme": "^1.0.0", "@shikijs/themes": "^3.0.0 || ^4.0.0", "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0", "shiki": "^3.0.0 || ^4.0.0" }, "optionalPeers": ["@pierre/theme", "@shikijs/themes", "react", "react-dom", "shiki"] }, "sha512-1thlEtJbqdyLzc1ZS2KQa1q7FzDGHT4dTEdKHoyQjOMeWWOmbVG5/ndEfOKfAb5Fzkz8cNJrOjFLiZoDH/A03A=="],
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"@pierre/trees": ["@pierre/trees@1.0.0-beta.4", "", { "dependencies": { "preact": "11.0.0-beta.0", "preact-render-to-string": "6.6.5" }, "peerDependencies": { "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0" } }, "sha512-OfT1yk9ne8Te5+GB5zUY8yqE6B8BqjBHQJleH4lu8ltwNpoocZl4vXt1AzlEExpxI/pp+AFX5QG+lR3JjtTEag=="],
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@@ -3912,11 +3856,11 @@
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"editorconfig": ["editorconfig@1.0.7", "", { "dependencies": { "@one-ini/wasm": "0.1.1", "commander": "^10.0.0", "minimatch": "^9.0.1", "semver": "^7.5.3" }, "bin": { "editorconfig": "bin/editorconfig" } }, "sha512-e0GOtq/aTQhVdNyDU9e02+wz9oDDM+SIOQxWME2QRjzRX5yyLAuHDE+0aE8vHb9XRC8XD37eO2u57+F09JqFhw=="],
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"effect": ["effect@4.0.0-rc.112", "", { "dependencies": { "fast-check": "^4.9.0", "msgpackr": "^2.0.5" } }, "sha512-wXxwuh1Ywnv4cPRM3Wfa0vDwuOHnZ1TsTgHJkG9XgzND6inhBH9n1vBxhg3iIXOia/OrpmvVmd3lrD4vq6bF3A=="],
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"effect": ["effect@4.0.0-rc.117", "", {}, "sha512-UUyi9QiOW4nySFIBM3KnYbNMd9EZliOdKfBcyLD0mPMPheO2fkuXS5y0opjWc9oqzlJxPQICEGm8gGw3kh9j/w=="],
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"ejs": ["ejs@3.1.10", "", { "dependencies": { "jake": "^10.8.5" }, "bin": { "ejs": "bin/cli.js" } }, "sha512-UeJmFfOrAQS8OJWPZ4qtgHyWExa088/MtK5UEyoJGFH67cDEXkZSviOiKRCZ4Xij0zxI3JECgYs3oKx+AizQBA=="],
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"electron": ["electron@44.4.5", "", { "dependencies": { "@electron-internal/extract-zip": "^1.0.1", "@electron/get": "^5.0.0", "@types/node": "^24.9.0" }, "bin": { "electron": "cli.js", "install-electron": "install.js" } }, "sha512-SjgoaeYsSWZfJzubgQU7juvuXMTvn6/e1gAHdGFA/yuMbpF+I+skYqIJ6DdXBXHeWbkbpNpmwZCTpiivtlWZSw=="],
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"electron": ["electron@44.4.3", "", { "dependencies": { "@electron-internal/extract-zip": "^1.0.1", "@electron/get": "^5.0.0", "@types/node": "^24.9.0" }, "bin": { "electron": "cli.js", "install-electron": "install.js" } }, "sha512-LTpSFTB40qVCXIX5xMo+cgHI/Jjkbjw7VpB26PccEbroqOn72LBukeaDwPVo1fBYzSzs0c9iPuAucFCO7Tw81Q=="],
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"electron-builder": ["electron-builder@26.15.7", "", { "dependencies": { "app-builder-lib": "26.15.7", "builder-util": "26.15.3", "builder-util-runtime": "9.7.0", "chalk": "^4.1.2", "ci-info": "^4.2.0", "dmg-builder": "26.15.7", "fs-extra": "^10.1.0", "lazy-val": "^1.0.5", "simple-update-notifier": "2.0.0", "yargs": "^17.6.2" }, "bin": { "electron-builder": "./cli.js", "install-app-deps": "./install-app-deps.js" } }, "sha512-DBpaNzxsPs1BvEblzFoNriSbzsBqDCy/gseIngeEhYzQG1IxfB7Hvc2tBBVmpWE2BTQGP9J1RrAvDT+Vc/uAxg=="],
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@@ -4750,7 +4694,7 @@
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"micromatch": ["micromatch@4.0.8", "", { "dependencies": { "braces": "^3.0.3", "picomatch": "^2.3.1" } }, "sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA=="],
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"mime": ["mime@4.1.0", "", { "bin": { "mime": "bin/cli.js" } }, "sha512-X5ju04+cAzsojXKes0B/S4tcYtFAJ6tTMuSPBEn9CPGlrWr8Fiw7qYeLT0XyH80HSoAoqWCaz+MWKh22P7G1cw=="],
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"mime": ["mime@3.0.0", "", { "bin": { "mime": "cli.js" } }, "sha512-jSCU7/VB1loIWBZe14aEYHU/+1UMEHoaO7qxCOVJOw9GgH72VAWppxNcjU+x9a2k3GSIBXNKxXQFqRvvZ7vr3A=="],
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"mime-db": ["mime-db@1.54.0", "", {}, "sha512-aU5EJuIN2WDemCcAp2vFBfp/m4EAhWJnUNSSw0ixs7/kXbd6Pg64EmwJkNdFhB8aWt1sH2CTXrLxo/iAGV3oPQ=="],
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@@ -4798,10 +4742,6 @@
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"ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
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"msgpackr": ["msgpackr@2.0.5", "", { "optionalDependencies": { "msgpackr-extract": "^3.0.4" } }, "sha512-cef05H/dSYpLpqp3sj/qyZh5vhUYCalnaLO7j1yOmpsR0y/XwLVtK7r5gn+U/F7CTEfMowcGhlUQJDLcLf7jcA=="],
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"msgpackr-extract": ["msgpackr-extract@3.0.4", "", { "dependencies": { "node-gyp-build-optional-packages": "5.2.2" }, "optionalDependencies": { "@msgpackr-extract/msgpackr-extract-darwin-arm64": "3.0.4", "@msgpackr-extract/msgpackr-extract-darwin-x64": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-arm": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-arm64": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-x64": "3.0.4", "@msgpackr-extract/msgpackr-extract-win32-x64": "3.0.4" }, "bin": { "download-msgpackr-prebuilds": "bin/download-prebuilds.js" } }, "sha512-4kmO/MdyUIkLIvTPr8VHLil4AtoKIoniWPIEk5+CDy0xnWC84azhSFmuJ7PxZdsYtiP5kEeQsORAVIeMgxT+Hw=="],
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"muggle-string": ["muggle-string@0.4.1", "", {}, "sha512-VNTrAak/KhO2i8dqqnqnAHOa3cYBwXEZe9h+D5h/1ZqFSTEFHdM65lR7RoIqq3tBBYavsOXV84NoHXZ0AkPyqQ=="],
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"mustache": ["mustache@4.2.0", "", { "bin": { "mustache": "bin/mustache" } }, "sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ=="],
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@@ -4844,8 +4784,6 @@
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"node-gyp-build": ["node-gyp-build@4.8.4", "", { "bin": { "node-gyp-build": "bin.js", "node-gyp-build-optional": "optional.js", "node-gyp-build-test": "build-test.js" } }, "sha512-LA4ZjwlnUblHVgq0oBF3Jl/6h/Nvs5fzBLwdEF4nuxnFdsfajde4WfxtJr3CaiH+F6ewcIB/q4jQ4UzPyid+CQ=="],
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"node-gyp-build-optional-packages": ["node-gyp-build-optional-packages@5.2.2", "", { "dependencies": { "detect-libc": "^2.0.1" }, "bin": { "node-gyp-build-optional-packages": "bin.js", "node-gyp-build-optional-packages-optional": "optional.js", "node-gyp-build-optional-packages-test": "build-test.js" } }, "sha512-s+w+rBWnpTMwSFbaE0UXsRlg7hU4FjekKU4eyAih5T8nJuNZT1nNsskXpxmeqSK9UzkBl6UgRlnKc8hz8IEqOw=="],
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"node-html-parser": ["node-html-parser@7.1.0", "", { "dependencies": { "css-select": "^5.1.0", "he": "1.2.0" } }, "sha512-iJo8b2uYGT40Y8BTyy5ufL6IVbN8rbm/1QK2xffXU/1a/v3AAa0d1YAoqBNYqaS4R/HajkWIpIfdE6KcyFh1AQ=="],
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"node-int64": ["node-int64@0.4.0", "", {}, "sha512-O5lz91xSOeoXP6DulyHfllpq+Eg00MWitZIbtPfoSEvqIHdl5gfcY6hYzDWnj0qD5tz52PI08u9qUvSVeUBeHw=="],
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@@ -5642,7 +5580,7 @@
|
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"uncrypto": ["uncrypto@0.1.3", "", {}, "sha512-Ql87qFHB3s/De2ClA9e0gsnS6zXG27SkTiSJwjCc9MebbfapQfuPzumMIUMi38ezPZVNFcHI9sUIepeQfw8J8Q=="],
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"undici": ["undici@8.10.0", "", {}, "sha512-HvltHd7avK13QIw/oLe4qoOLyoVSoafqJ2jYOrtMRBkbYT31eiBQ8O0ehRKZiEZCMEyLFQNIADpgCWC5fALvYQ=="],
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"undici": ["undici@8.10.2", "", {}, "sha512-/y4/bH9YNU5hi9NIrpOuvGXFcxrj3CMrV+/AYpowAYTpHn8gX/XPFjNy766FPoYY0miQhdW977JFWKGNhBdwyQ=="],
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"undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],
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@@ -6094,8 +6032,6 @@
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"@bufbuild/protoplugin/typescript": ["typescript@5.4.5", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-vcI4UpRgg81oIRUFwR0WSIHKt11nJ7SAVlYNIu+QpqeyXP+gpQJy/Z4+F0aGxSE4MqwjyXvW/TzgkLAx2AGHwQ=="],
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"@cloudflare/kv-asset-handler/mime": ["mime@3.0.0", "", { "bin": { "mime": "cli.js" } }, "sha512-jSCU7/VB1loIWBZe14aEYHU/+1UMEHoaO7qxCOVJOw9GgH72VAWppxNcjU+x9a2k3GSIBXNKxXQFqRvvZ7vr3A=="],
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"@cloudflare/vite-plugin/vite": ["vite@7.3.6", "", { "dependencies": { "esbuild": "^0.27.0 || ^0.28.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-4XP60spRGjSZFf1qYH+dJIkK2znL3zQfl9KkOV9MkkRR/3Dls0dxaBsQPTloEc5BLXWPL9vsOxopxyKoMmDueg=="],
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"@cloudflare/vite-plugin/ws": ["ws@8.18.0", "", { "peerDependencies": { "bufferutil": "^4.0.1", "utf-8-validate": ">=5.0.2" }, "optionalPeers": ["bufferutil", "utf-8-validate"] }, "sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw=="],
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@@ -6244,8 +6180,6 @@
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"@opencode/files/wrangler": ["wrangler@4.110.0", "", { "dependencies": { "@cloudflare/kv-asset-handler": "0.5.0", "@cloudflare/unenv-preset": "2.16.1", "blake3-wasm": "2.1.5", "esbuild": "0.28.1", "miniflare": "4.20260708.1", "path-to-regexp": "6.3.0", "unenv": "2.0.0-rc.24", "workerd": "1.20260708.1" }, "optionalDependencies": { "fsevents": "2.3.3" }, "peerDependencies": { "@cloudflare/workers-types": "^5.20260708.1" }, "optionalPeers": ["@cloudflare/workers-types"], "bin": { "wrangler": "bin/wrangler.js", "wrangler2": "bin/wrangler.js", "cf-wrangler": "bin/cf-wrangler.js" } }, "sha512-xZeXKYi7hxQRF5anL+v77RkufJNpF9f3Eqeyqq2QBsETpLZgh0Agj0jJ6JPtkbgn6ukZdh8OK5egsGPWIditgg=="],
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|
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"@opencode/gui-extensions/vite": ["vite@7.3.6", "", { "dependencies": { "esbuild": "^0.27.0 || ^0.28.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-4XP60spRGjSZFf1qYH+dJIkK2znL3zQfl9KkOV9MkkRR/3Dls0dxaBsQPTloEc5BLXWPL9vsOxopxyKoMmDueg=="],
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"@opencode/posts/wrangler": ["wrangler@4.110.0", "", { "dependencies": { "@cloudflare/kv-asset-handler": "0.5.0", "@cloudflare/unenv-preset": "2.16.1", "blake3-wasm": "2.1.5", "esbuild": "0.28.1", "miniflare": "4.20260708.1", "path-to-regexp": "6.3.0", "unenv": "2.0.0-rc.24", "workerd": "1.20260708.1" }, "optionalDependencies": { "fsevents": "2.3.3" }, "peerDependencies": { "@cloudflare/workers-types": "^5.20260708.1" }, "optionalPeers": ["@cloudflare/workers-types"], "bin": { "wrangler": "bin/wrangler.js", "wrangler2": "bin/wrangler.js", "cf-wrangler": "bin/cf-wrangler.js" } }, "sha512-xZeXKYi7hxQRF5anL+v77RkufJNpF9f3Eqeyqq2QBsETpLZgh0Agj0jJ6JPtkbgn6ukZdh8OK5egsGPWIditgg=="],
|
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|
||||
"@opencode/session-ui/vite": ["vite@7.3.6", "", { "dependencies": { "esbuild": "^0.27.0 || ^0.28.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-4XP60spRGjSZFf1qYH+dJIkK2znL3zQfl9KkOV9MkkRR/3Dls0dxaBsQPTloEc5BLXWPL9vsOxopxyKoMmDueg=="],
|
||||
@@ -6306,7 +6240,11 @@
|
||||
|
||||
"@parcel/watcher/detect-libc": ["detect-libc@1.0.3", "", { "bin": { "detect-libc": "./bin/detect-libc.js" } }, "sha512-pGjwhsmsp4kL2RTz08wcOlGN83otlqHeD/Z5T8GXZB+/YcpQ/dgo+lbU8ZsGxV0HIvqqxo9l7mqYwyYMD9bKDg=="],
|
||||
|
||||
"@pierre/diffs/diff": ["diff@9.0.0", "", {}, "sha512-svtcdpS8CgJyqAjEQIXdb3OjhFVVYjzGAPO8WGCmRbrml64SPw/jJD4GoE98aR7r25A0XcgrK3F02yw9R/vhQw=="],
|
||||
"@pierre/diffs/diff": ["diff@8.0.3", "", {}, "sha512-qejHi7bcSD4hQAZE0tNAawRK1ZtafHDmMTMkrrIGgSLl7hTnQHmKCeB45xAcbfTqK2zowkM3j3bHt/4b/ARbYQ=="],
|
||||
|
||||
"@pierre/diffs/react": ["react@19.2.8", "", {}, "sha512-PWaYA1L/q9u2u7xYQi+Y3L3Yfnie7XyLeaJICV1MGD6LprsBxcAqGjYyr0eY3p+QdsA+x/Irkt4Qif8D63+Sbw=="],
|
||||
|
||||
"@pierre/diffs/react-dom": ["react-dom@19.2.8", "", { "dependencies": { "scheduler": "^0.27.0" }, "peerDependencies": { "react": "^19.2.8" } }, "sha512-rVprimfGBG3DR+Tq0IQG2DT5PxKth1WIGDmj5yPmlzr4YBe7uyE+Du4oVqTDXZSHGGGXRtTJEGSSePyQCMBglQ=="],
|
||||
|
||||
"@pierre/trees/react": ["react@19.2.8", "", {}, "sha512-PWaYA1L/q9u2u7xYQi+Y3L3Yfnie7XyLeaJICV1MGD6LprsBxcAqGjYyr0eY3p+QdsA+x/Irkt4Qif8D63+Sbw=="],
|
||||
|
||||
@@ -6694,6 +6632,8 @@
|
||||
|
||||
"tw-to-css/tailwindcss": ["tailwindcss@3.3.2", "", { "dependencies": { "@alloc/quick-lru": "^5.2.0", "arg": "^5.0.2", "chokidar": "^3.5.3", "didyoumean": "^1.2.2", "dlv": "^1.1.3", "fast-glob": "^3.2.12", "glob-parent": "^6.0.2", "is-glob": "^4.0.3", "jiti": "^1.18.2", "lilconfig": "^2.1.0", "micromatch": "^4.0.5", "normalize-path": "^3.0.0", "object-hash": "^3.0.0", "picocolors": "^1.0.0", "postcss": "^8.4.23", "postcss-import": "^15.1.0", "postcss-js": "^4.0.1", "postcss-load-config": "^4.0.1", "postcss-nested": "^6.0.1", "postcss-selector-parser": "^6.0.11", "postcss-value-parser": "^4.2.0", "resolve": "^1.22.2", "sucrase": "^3.32.0" }, "bin": { "tailwind": "lib/cli.js", "tailwindcss": "lib/cli.js" } }, "sha512-9jPkMiIBXvPc2KywkraqsUfbfj+dHDb+JPWtSJa9MLFdrPyazI7q6WX2sUrm7R9eVR7qqv3Pas7EvQFzxKnI6w=="],
|
||||
|
||||
"unifont/undici": ["undici@8.10.0", "", {}, "sha512-HvltHd7avK13QIw/oLe4qoOLyoVSoafqJ2jYOrtMRBkbYT31eiBQ8O0ehRKZiEZCMEyLFQNIADpgCWC5fALvYQ=="],
|
||||
|
||||
"unplugin/acorn": ["acorn@8.18.0", "", { "bin": { "acorn": "bin/acorn" } }, "sha512-lGq+9yr1/GuAWaVYIHRjvvySG5/4VfKIvC8EWxStPdcDh/Ka7FG3twP6v4d5BkravUilhIAsG4Qj83t02LWUPQ=="],
|
||||
|
||||
"unused-filename/escape-string-regexp": ["escape-string-regexp@5.0.0", "", {}, "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw=="],
|
||||
@@ -7204,6 +7144,8 @@
|
||||
|
||||
"@oxc-resolver/binding-wasm32-wasi/@emnapi/core/@emnapi/wasi-threads": ["@emnapi/wasi-threads@1.2.2", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-c95qOXkHdydNKhscBTebqEC1CVAZpyqOfVfBzQ1qgzyl3gfeldUjIggDbIZgDKsHLgnsM+igH7TJ/eAasaVuMA=="],
|
||||
|
||||
"@pierre/diffs/react-dom/scheduler": ["scheduler@0.27.0", "", {}, "sha512-eNv+WrVbKu1f3vbYJT/xtiF5syA5HPIMtf9IgY/nKg0sWqzAUEvqY/xm7OcZc/qafLx/iO9FgOmeSAp4v5ti/Q=="],
|
||||
|
||||
"@pierre/trees/react-dom/scheduler": ["scheduler@0.27.0", "", {}, "sha512-eNv+WrVbKu1f3vbYJT/xtiF5syA5HPIMtf9IgY/nKg0sWqzAUEvqY/xm7OcZc/qafLx/iO9FgOmeSAp4v5ti/Q=="],
|
||||
|
||||
"@puppeteer/browsers/yargs/cliui": ["cliui@9.0.1", "", { "dependencies": { "string-width": "^7.2.0", "strip-ansi": "^7.1.0", "wrap-ansi": "^9.0.0" } }, "sha512-k7ndgKhwoQveBL+/1tqGJYNz097I7WOvwbmmU2AR5+magtbjPWQTS1C5vzGkBC8Ym8UWRzfKUzUUqFLypY4Q+w=="],
|
||||
|
||||
Generated
+3
-3
@@ -2,11 +2,11 @@
|
||||
"nodes": {
|
||||
"nixpkgs": {
|
||||
"locked": {
|
||||
"lastModified": 1790510107,
|
||||
"narHash": "sha256-EVMNYv7hYDDD9TGVT/hIyTYgpiXA8y3m5xIEIxuGNU0=",
|
||||
"lastModified": 1776683584,
|
||||
"narHash": "sha256-NuTLMrr10Tng72hurYG8jYQ4XKK8wnpJmOGcPiis96g=",
|
||||
"owner": "NixOS",
|
||||
"repo": "nixpkgs",
|
||||
"rev": "3181085bfd08663b6b9e60bc7a8395c2aaa741bd",
|
||||
"rev": "9dd5558b06dbdacbf635a3dd36dce1b1a7ee3a89",
|
||||
"type": "github"
|
||||
},
|
||||
"original": {
|
||||
|
||||
@@ -12,6 +12,7 @@
|
||||
"aarch64-linux"
|
||||
"x86_64-linux"
|
||||
"aarch64-darwin"
|
||||
"x86_64-darwin"
|
||||
];
|
||||
forEachSystem = f: nixpkgs.lib.genAttrs systems (system: f nixpkgs.legacyPackages.${system});
|
||||
rev = self.shortRev or self.dirtyShortRev or "dirty";
|
||||
@@ -21,7 +22,7 @@
|
||||
default = pkgs.mkShell {
|
||||
packages = with pkgs; [
|
||||
bun
|
||||
nodejs
|
||||
nodejs_20
|
||||
pkg-config
|
||||
openssl
|
||||
git
|
||||
|
||||
@@ -7,6 +7,7 @@ in
|
||||
aarch64-linux = "20e68d6c4e47f3ebf59de7c6b1f8b8bec6a6ebda6a451132f9b465f3f13ce467";
|
||||
x86_64-linux = "2452b27112d92387471fa2488aafac85d79ea3f2ee1216c0abd5150d6c12362b";
|
||||
aarch64-darwin = "ac7194a3dfd81930ba35355c01620262c1254752859b42dcb8f4b9e4d174a871";
|
||||
x86_64-darwin = "4489aba55477a0082266cb690db1c829503ba3338048599d8fd243953df37dab";
|
||||
# fetchzip hashes the unpacked headers, not the release tarball.
|
||||
headers = "sha256-4eUy3BZVvxTl7KUOsxio7769lL6ag/ecbeK+qLURWMI=";
|
||||
}
|
||||
+4
-3
@@ -1,7 +1,8 @@
|
||||
{
|
||||
"nodeModules": {
|
||||
"x86_64-linux": "sha256-g3k0cAFGqzmRYlcIkg1NDvlx1WxHYhnYPL0/a8E+qTg=",
|
||||
"aarch64-linux": "sha256-a+3ymqdxOONGe2Tpq4GUccl1b+Dwzxlb9LFXgE1gZ+0=",
|
||||
"aarch64-darwin": "sha256-h8xIzuMmaWfJqjHCO74xUDCWNKQLFrIGoKYZ+2TauYc="
|
||||
"x86_64-linux": "sha256-7DgxTpKv6ITKTom0mhlJNPQfdEjtEHK5P8uyCr26HZw=",
|
||||
"aarch64-linux": "sha256-PJxW1Ibfx6oS1neWPSHqzP1Pm1HT9my1TrrHmOb6/no=",
|
||||
"aarch64-darwin": "sha256-VIme5VHfM8JxNiDSOykkr5FytghDLI0FxkhiOXUSyQw=",
|
||||
"x86_64-darwin": "sha256-rQ/j0QkR1vxAq4jgUbr0nY4RDyiLTJqN8q1AfoiEqVQ="
|
||||
}
|
||||
}
|
||||
@@ -81,5 +81,6 @@ stdenvNoCC.mkDerivation {
|
||||
"aarch64-linux"
|
||||
"x86_64-linux"
|
||||
"aarch64-darwin"
|
||||
"x86_64-darwin"
|
||||
];
|
||||
}
|
||||
+14
-14
@@ -2,7 +2,7 @@
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "opencode",
|
||||
"description": "AI-powered development tool",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"packageManager": "bun@1.4.2",
|
||||
@@ -18,7 +18,7 @@
|
||||
"dev:www": "bun run --cwd services/www dev",
|
||||
"dev:storybook": "bun --cwd packages/storybook storybook",
|
||||
"bench:devex": "bun run --cwd packages/app test:bench:devex",
|
||||
"lint": "oxlint && ast-grep scan -c script/ast-grep/gui-extensions/sgconfig.yml",
|
||||
"lint": "oxlint",
|
||||
"lint:effect-patterns": "ast-grep scan -c script/ast-grep/sgconfig.yml packages/util/src packages/core/src packages/server/src packages/protocol/src packages/cli/src",
|
||||
"lint:effect-simplifications": "ast-grep scan -c script/ast-grep/effect-simplifications/sgconfig.yml --off=unused-suppression packages",
|
||||
"test:lint-rules": "ast-grep test -c script/ast-grep/sgconfig.yml",
|
||||
@@ -42,19 +42,19 @@
|
||||
"packages/stats/*"
|
||||
],
|
||||
"catalog": {
|
||||
"@effect/opentelemetry": "4.0.0-rc.112",
|
||||
"@effect/platform-node": "4.0.0-rc.112",
|
||||
"@effect/platform-node-shared": "4.0.0-rc.112",
|
||||
"@effect/sql-sqlite-bun": "4.0.0-rc.112",
|
||||
"@effect/opentelemetry": "4.0.0-rc.117",
|
||||
"@effect/platform-node": "4.0.0-rc.117",
|
||||
"@effect/platform-node-shared": "4.0.0-rc.117",
|
||||
"@effect/sql-sqlite-bun": "4.0.0-rc.117",
|
||||
"@npmcli/arborist": "9.4.0",
|
||||
"@types/bun": "1.4.0",
|
||||
"@types/cross-spawn": "6.0.6",
|
||||
"@octokit/rest": "22.0.0",
|
||||
"@hono/standard-validator": "0.2.0",
|
||||
"@hono/zod-validator": "0.4.2",
|
||||
"@opentui/core": "0.5.14",
|
||||
"@opentui/keymap": "0.5.14",
|
||||
"@opentui/solid": "0.5.14",
|
||||
"@opentui/core": "0.5.12",
|
||||
"@opentui/keymap": "0.5.12",
|
||||
"@opentui/solid": "0.5.12",
|
||||
"@tanstack/solid-virtual": "3.13.37",
|
||||
"@shikijs/stream": "4.4.3",
|
||||
"@standard-schema/spec": "1.1.0",
|
||||
@@ -68,7 +68,7 @@
|
||||
"@tsconfig/bun": "1.0.9",
|
||||
"@cloudflare/workers-types": "4.20251008.0",
|
||||
"@openauthjs/openauth": "0.0.0-20250322224806",
|
||||
"@pierre/diffs": "1.5.1",
|
||||
"@pierre/diffs": "1.2.10",
|
||||
"opentui-spinner": "0.0.7",
|
||||
"@solid-primitives/event-listener": "2.4.6",
|
||||
"@solid-primitives/media": "2.3.6",
|
||||
@@ -79,7 +79,8 @@
|
||||
"dompurify": "3.4.14",
|
||||
"drizzle-kit": "1.0.0-rc.5-ab785fc",
|
||||
"drizzle-orm": "1.0.0-rc.5-169397b",
|
||||
"effect": "4.0.0-rc.112",
|
||||
"effect": "4.0.0-rc.117",
|
||||
"fast-check": "4.9.0",
|
||||
"ai": "6.0.168",
|
||||
"cross-spawn": "7.0.6",
|
||||
"hono": "4.10.7",
|
||||
@@ -117,11 +118,10 @@
|
||||
"@actions/artifact": "5.0.1",
|
||||
"@ast-grep/cli": "0.44.0",
|
||||
"@opencode/client": "workspace:*",
|
||||
"@oxlint/plugins": "1.60.0",
|
||||
"@tsconfig/bun": "catalog:",
|
||||
"@types/mime-types": "3.0.1",
|
||||
"@types/react": "19.2.17",
|
||||
"@types/react-dom": "19.2.3",
|
||||
"@tsconfig/bun": "catalog:",
|
||||
"@types/mime-types": "3.0.1",
|
||||
"@typescript/native-preview": "catalog:",
|
||||
"glob": "13.0.5",
|
||||
"husky": "9.1.7",
|
||||
|
||||
@@ -98,11 +98,11 @@ When a provider supports multiple physical transports, selection remains executi
|
||||
|
||||
Media does not fit the SSE-frames-to-event-state-machine LLM route. `MediaRoute.inline(...)` / `queued(...)` / `stream(...)` (`src/route/media.ts`) compose a `MediaProtocol` kind with `Endpoint` and `Auth` and own the transport plumbing: `http` option merging, URL/query rendering, auth headers, JSON vs multipart encoding, and handing the response back to the protocol. `MediaProtocol.inline` (`src/route/media-protocol.ts`) is `body.from(request)` plus `response.decode(response, context)`; each protocol declares `const route = MediaProtocol.identity({ id, name, provider })` once and decodes through `route.decodeJson` / `route.text` / `route.decodeStarted` so decode failures retain the raw body and HTTP context, raising `route.unsupported(operation, message)` for requests it cannot lower, and passes `route` as the first argument to `MediaProtocol.inline` / `queued` / `stream`. `Generation` (`src/generation.ts`) is the provider-neutral handle for a queued generation over a `GenerationRoute` (`status`, `result`, `cancel`). Image protocol files follow the same section order as LLM protocols and declare unsupported common fields once through the protocol's `unsupported` list.
|
||||
|
||||
`MediaProtocol.queued` is the submit-then-poll kind every video route uses: `start` (body + decode into `{ token, snapshot }`), `status`, `result`, and optional `cancel` (with `activeOnly` when the provider's cancel endpoint deletes finished work, as Runway's does: the route refreshes status first and skips terminal generations), each addressed by a route-owned `token` whose `Schema.Codec` makes it serializable. `MediaRoute.inline` and `MediaRoute.queued` compose the two kinds with `Endpoint` and `Auth`; the queued route decodes the token once at the boundary (`start` output or `resume` input) and closes over it in a token-free `GenerationRoute` (`status`/`result`/`cancel` are plain Effects), so `Generation` never sees the token's shape and only carries the encoded JSON for persistence. Polls reuse the route's auth and deployment headers plus the request's `http` overlay after `start`, and resolve relative paths against the route base URL (provider-issued absolute URLs such as fal's `status_url` pass through). `result` is always its own GET even when the provider returns output inside the status document, so `Generation.await` behaves the same after `start` and after `resume`. `PollContext.auth` carries only what `Auth` added or changed so protocols can hand download credentials to output assets as transient `Media.Asset.headers` (Veo) — never part of `source` or JSON. Status strings map through a per-protocol `STATUS` table via `MediaProtocol.status`; terminal generations without output fail through `output.ended` / `output.contentPolicy` with the provider document on `reason.body`; a `failed` generation maps the provider's error code through a per-protocol `FAILURE` table via `MediaProtocol.failure` so rejected inputs are not reported as retryable `ProviderInternal`. `GenerationAwaitOptions` (`AwaitOptions` in `src/generation.ts`, `{ poll?: Poll }`) is the one options type for `await`, `events`, `Video.generate`, and `Video.stream`.
|
||||
`MediaProtocol.queued` is the submit-then-poll kind every video route uses: `start` (body + decode into `{ token, snapshot }`), `status`, `result`, and optional `cancel` (with `activeOnly` when the provider's cancel endpoint deletes finished work, as Runway's does: the route refreshes status first and skips terminal generations), each addressed by a route-owned `token` whose `Schema.Codec` makes it serializable. `MediaRoute.inline` and `MediaRoute.queued` compose the two kinds with `Endpoint` and `Auth`; the queued route decodes the token once at the boundary (`start` output or `resume` input) and closes over it in a token-free `GenerationRoute` (`status`/`result`/`cancel` are plain Effects), so `Generation` never sees the token's shape and only carries the encoded JSON for persistence. Polls reuse the route's auth and deployment headers plus the request's `http` overlay after `start`, and resolve relative paths against the route base URL (provider-issued absolute URLs such as fal's `status_url` pass through). `result` is always its own GET even when the provider returns output inside the status document, so `Generation.await` behaves the same after `start` and after `resume`. `PollContext.auth` carries only what `Auth` added or changed so protocols can hand download credentials to output assets as transient `Media.Asset.headers` (Veo) — never part of `source` or JSON. Status strings map through a per-protocol `STATUS` table via `MediaProtocol.status`; terminal generations without output fail through `output.ended` / `output.contentPolicy` with the provider document on `reason.body`. `GenerationAwaitOptions` (`AwaitOptions` in `src/generation.ts`, `{ poll?: Poll }`) is the one options type for `await`, `events`, `Video.generate`, and `Video.stream`.
|
||||
|
||||
`MediaProtocol.stream` is the incremental kind every speech route uses, with the same discipline as LLM protocols. `MediaRoute.stream` submits the caller's request as `MediaProtocol.Addressed<Request>` (`{ ...request, mode }`, `mode: "generate" | "stream"`), so one provider stays one protocol: `body.from`, the endpoint path, and `frames` read `request.mode` to pick the body, path, and framing. `frames(bytes, context)` returns frames — `Framing.sse`, `Framing.lines`, `Framing.document` (a single-document response shaped like a streamed record), or the raw `bytes` for chunked audio. `initial()` is fresh per-response parser state; `step` folds each frame into it and emits modality events; `finish(state, context)` runs once after the last frame with the request, body, and observed `http` (header-only usage lives there) and emits exactly one terminal event or fails with `route.incomplete()`. Keep parser state to real accumulators and derive anything the request or body determines in `finish`. `generate` runs the same stream and folds it with the modality's `collect`. Request-derived URL parameters go on the body's `query` (array values repeat the parameter), applied before route and caller `http.query`. Decode frames with `route.decodeFrame` and raise stream-time failures with `route.frameError` (the frame stays on `reason.body`); protocols never thread HTTP context, because the route fills `reason.http` on stream errors that lack it. Speech protocols share `protocols/utils/speech-stream.ts` for deltas, timestamps, voice ids, PCM and container descriptions, and the terminal asset.
|
||||
|
||||
Every modality route is the inline | stream | queued union (transcription uses all three: OpenAI and Gemini stream, Deepgram and ElevenLabs are inline, AssemblyAI is queued), every client is `MediaClient.make(Service, { modality, responseEvents })` (`src/media-client.ts`), which dispatches on the route's `kind`, and every model composes through `composeRoute`. fal queue protocols come from `protocols/utils/fal-queue.ts`, bodies are `json`, `multipart`, or `binary` (a raw upload), and a queued protocol that must upload media before submitting implements `start.prepare` (`MediaProtocol.Prepare`; AssemblyAI `/v2/upload`).
|
||||
Every modality route is the inline | stream | queued union (transcription uses all three: OpenAI and Gemini stream, Deepgram is inline, AssemblyAI is queued), every client is `MediaClient.make(Service, { modality, responseEvents })` (`src/media-client.ts`), which dispatches on the route's `kind`, and every model composes through `composeRoute`. fal queue protocols come from `protocols/utils/fal-queue.ts`, bodies are `json`, `multipart`, or `binary` (a raw upload), and a queued protocol that must upload media before submitting implements `start.prepare` (`MediaProtocol.Prepare`; AssemblyAI `/v2/upload`).
|
||||
|
||||
### URL Construction
|
||||
|
||||
|
||||
+13
-25
@@ -129,9 +129,8 @@ VercelAIGateway.configure().experimental.evaluation("typesafe-ai/jev")
|
||||
|
||||
OpenRouter reads `OPENROUTER_API_KEY`. Vercel reads `AI_GATEWAY_API_KEY`, then `VERCEL_OIDC_TOKEN`.
|
||||
The common API uses `boolean`; System One routes lower it to native `noul`.
|
||||
Choice and score answers include `confidence` when the provider returns it, such as
|
||||
`response.answers.department.confidence`. Score legends remain available in provider metadata, and
|
||||
the provider's rounded probabilities are returned unchanged.
|
||||
Choice and score confidence plus score legends remain available in provider metadata, and the
|
||||
provider's rounded probabilities are returned unchanged.
|
||||
|
||||
## Alibaba Cloud Model Studio
|
||||
|
||||
@@ -753,10 +752,7 @@ const events = Video.stream({ model: Runway.configure({ apiKey }).video("gen4.5"
|
||||
|
||||
Status polls, result fetches, cancels, and asset downloads all run through the same request executor with the route's
|
||||
auth. `Generation.await` and `Generation.events` fail with a
|
||||
`Timeout` reason when `poll.timeout` (default 10 minutes) elapses. Status polls and result fetches retry transient
|
||||
failures (rate limits, provider 5xx, network errors) with backoff that honors `retry-after`, always within
|
||||
`poll.timeout`; submits and cancels never retry. Interrupting a wait (or aborting its `signal`) does not cancel the
|
||||
provider job, which keeps running and billing: call `cancel()` to stop it. Failed,
|
||||
`Timeout` reason when `poll.timeout` (default 10 minutes) elapses. Failed,
|
||||
cancelled, and expired generations fail typed with the provider's terminal document on `reason.body`; moderation
|
||||
outcomes (Veo `raiMediaFilteredReasons`, xAI `respect_moderation`, Runway `SAFETY.*` codes) surface as `notices` when
|
||||
a video is still returned and as a `ContentPolicy` reason when nothing is.
|
||||
@@ -777,9 +773,7 @@ Provider notes:
|
||||
The promise client exposes the same surface: `ai.video.start(...)` resolves to a handle with `await`, `events`,
|
||||
`result`, `refresh`, `cancel`, and `token`; `ai.video.generate`, `ai.video.resume(model, token)`, and
|
||||
`ai.video.stream` mirror the Effect API. The handle's `status` and `progress` are a snapshot from when it was
|
||||
created; `refresh()` resolves to a new handle. Every promise method and stream accepts `{ signal }`: like `fetch`,
|
||||
aborting rejects the Promise or throws from the `for await` loop with `signal.reason` (an `AbortError` `DOMException`
|
||||
unless `abort(reason)` passed one), while `break` stops a stream without throwing.
|
||||
created; `refresh()` resolves to a new handle.
|
||||
|
||||
```ts
|
||||
import { ai } from "@opencode/ai/promise"
|
||||
@@ -877,12 +871,11 @@ for await (const event of ai.speech.stream({ model, text: "Hello from OpenCode."
|
||||
## Transcription
|
||||
|
||||
Transcription (speech-to-text) is the one modality whose providers use every route kind: OpenAI and Gemini stream,
|
||||
Deepgram and ElevenLabs answer inline, and AssemblyAI is queued. `Transcription.generate` and `Transcription.stream`
|
||||
work on all of them; `Transcription.start` / `resume` return a `Generation` on queued routes and fail with
|
||||
`UnsupportedOperation` elsewhere. Models come from `.transcription(...)` selectors on the `OpenAI`, `Google`,
|
||||
`Deepgram`, `ElevenLabs`, and `AssemblyAI` facades. Common fields (`language`, `prompt`,
|
||||
`timestamps: "none" | "segment" | "word"`, `diarize`, `speakers`) lower natively or fail with a typed `AIError` before
|
||||
any network call; a route may return more than asked.
|
||||
Deepgram answers inline, and AssemblyAI is queued. `Transcription.generate` and `Transcription.stream` work on all of
|
||||
them; `Transcription.start` / `resume` return a `Generation` on queued routes and fail with `UnsupportedOperation`
|
||||
elsewhere. Models come from `.transcription(...)` selectors on the `OpenAI`, `Google`, `Deepgram`, and `AssemblyAI`
|
||||
facades. Common fields (`language`, `prompt`, `timestamps: "none" | "segment" | "word"`, `diarize`, `speakers`) lower
|
||||
natively or fail with a typed `AIError` before any network call; a route may return more than asked.
|
||||
|
||||
```ts
|
||||
import { Console, Effect, Stream } from "effect"
|
||||
@@ -894,7 +887,7 @@ const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY })
|
||||
const program = Effect.gen(function* () {
|
||||
const audio = yield* Media.file("./call.mp3")
|
||||
|
||||
// Speaker-labelled segments; labels are provider-native strings ("A", "0", "spk:0", "speaker_0").
|
||||
// Speaker-labelled segments; labels are provider-native strings ("A", "0", "spk:0").
|
||||
const response = yield* Transcription.generate({
|
||||
model: Deepgram.configure({ apiKey }).transcription("nova-3"),
|
||||
audio,
|
||||
@@ -904,7 +897,7 @@ const program = Effect.gen(function* () {
|
||||
response.text // "Hello from OpenCode."
|
||||
response.segments // [{ text, startSeconds, endSeconds, speaker: "0" }]
|
||||
response.words // [{ text, startSeconds, endSeconds, speaker, confidence }]
|
||||
response.language // the provider's own value, lowercased ("en", "eng", "english", "en_us")
|
||||
response.language // the provider's own value, lowercased ("en", "english", "en_us")
|
||||
|
||||
// Text deltas as the model transcribes, then one finish carrying the whole transcript.
|
||||
yield* Transcription.stream({ model: openai.transcription("gpt-4o-mini-transcribe"), audio }).pipe(
|
||||
@@ -928,12 +921,7 @@ Provider notes:
|
||||
- **OpenAI** takes inline audio only; `diarize` needs `gpt-4o-transcribe-diarize`, timestamps need `whisper-1`, and `whisper-1` does not stream.
|
||||
- **Gemini** needs a transcribe model (`gemini-3.5-transcribe`); `prompt` and `speakers` fail typed.
|
||||
- **Deepgram** detects the language unless `language` is set; vocabulary goes in `providerOptions.keyterm`.
|
||||
- **ElevenLabs** (`scribe_v2`) uploads inline audio as the multipart `file` and sends a URL as `source_url`. Words
|
||||
always carry timestamps, and segments are speaker turns, so `diarize`, `timestamps: "segment"`, or `speakers` turns
|
||||
on diarization. `speakers` is an upper bound (`num_speakers`); `prompt` fails typed (vocabulary goes in
|
||||
`providerOptions.keyterms`), as do webhook delivery and per-channel output (`use_multi_channel` without
|
||||
`multichannel_output_style: "combined"`).
|
||||
- **AssemblyAI** uploads inline audio before submitting and treats `speakers` as the exact speaker count.
|
||||
- **AssemblyAI** uploads inline audio before submitting and is the only route that accepts `speakers`.
|
||||
|
||||
The promise client mirrors the Effect API:
|
||||
|
||||
@@ -1223,7 +1211,7 @@ const gateway = CloudflareAIGateway.configure({
|
||||
}).model("workers-ai/@cf/meta/llama-3.1-8b-instruct")
|
||||
```
|
||||
|
||||
Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazon Bedrock, Azure OpenAI, Baseten, Cerebras, Cohere, Cloudflare AI Gateway, Cloudflare Workers AI, DeepInfra, DeepSeek, Fireworks, Groq, Mistral, OpenRouter, TogetherAI, and xAI. Z.ai currently exposes image generation. Generic Chat Completions, Responses, and Anthropic Messages-compatible entrypoints support custom endpoints.
|
||||
Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazon Bedrock, Azure OpenAI, Baseten, Cerebras, Cloudflare AI Gateway, Cloudflare Workers AI, DeepInfra, DeepSeek, Fireworks, Groq, Mistral, OpenRouter, TogetherAI, and xAI. Z.ai currently exposes image generation. Generic Chat Completions, Responses, and Anthropic Messages-compatible entrypoints support custom endpoints.
|
||||
|
||||
Each named provider owns its module, endpoint, authentication, and route setup. Providers with the same wire format compose the shared protocol directly:
|
||||
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
# Media generation in `@opencode/ai` — public API direction
|
||||
|
||||
Status: phases 1–4 implemented (through Image queued routes and partial images); phase 5 proposal.
|
||||
Status: phases 1–4 implemented (through Image queued routes and partial images; ElevenLabs Scribe transcription
|
||||
pending); phase 5 proposal.
|
||||
|
||||
## Goal
|
||||
|
||||
@@ -270,8 +271,8 @@ Deferred: `Speech.session(...)` — input-streaming TTS where text arrives incre
|
||||
#### Transcription (STT)
|
||||
|
||||
Shipped as the second half of phase 3 (`src/transcription.ts`, `src/transcription-client.ts`, protocols
|
||||
`openai-transcription`, `google-transcription`, `deepgram-transcription`, `elevenlabs-transcription`,
|
||||
`assemblyai-transcription`; new `AssemblyAI` facade).
|
||||
`openai-transcription`, `google-transcription`, `deepgram-transcription`, `assemblyai-transcription`; new `AssemblyAI`
|
||||
facade).
|
||||
|
||||
```ts
|
||||
const request = Transcription.request({
|
||||
@@ -280,7 +281,7 @@ const request = Transcription.request({
|
||||
language: "en", // provider-native passthrough
|
||||
timestamps: "segment", // none | segment | word
|
||||
diarize: true,
|
||||
speakers: 2, // speaker count (AssemblyAI exact, ElevenLabs maximum)
|
||||
speakers: 2, // exact speaker count (AssemblyAI only)
|
||||
providerOptions: { known_speaker_names: ["agent"] },
|
||||
})
|
||||
|
||||
@@ -308,23 +309,17 @@ upload); `packages/ai/AGENTS.md` (Media Routes) describes both.
|
||||
Settled rules:
|
||||
|
||||
- **Timestamps.** A granularity the selected route or model cannot produce fails as `UnsupportedOperation`
|
||||
(`media.timestamps`), following Speech; a route that returns more than asked (Deepgram, ElevenLabs, and AssemblyAI
|
||||
always return words) is not stripped. Segments always carry start and end times: Gemini times each transcription part from its
|
||||
(`media.timestamps`), following Speech; a route that returns more than asked (Deepgram and AssemblyAI always return
|
||||
words) is not stripped. Segments always carry start and end times: Gemini times each transcription part from its
|
||||
word offsets, so segment timestamps and diarization also request word offsets there.
|
||||
- **Diarization.** `diarize` means segments (and words, where the provider labels them) carry `speaker`. Labels are
|
||||
provider-native strings — OpenAI `A` or a known speaker name, Deepgram `0`, Gemini `spk:0`, AssemblyAI `A`,
|
||||
ElevenLabs `speaker_0` — with no cross-provider speaker model. `speakers` is the number of speakers to label:
|
||||
AssemblyAI (`speakers_expected`) treats it as an exact constraint rather than a hint, and ElevenLabs
|
||||
(`num_speakers`) as the maximum. Both turn on diarization for it; the other routes reject it.
|
||||
- **Segments from words.** ElevenLabs returns only a token list (`word`, `spacing`, `audio_event`), so its segments
|
||||
are speaker turns: consecutive words and spacing with one `speaker_id`, text joined from the provider's own spacing
|
||||
tokens. `words` drops spacing and audio events. Segments therefore need diarization, which `timestamps: "segment"`
|
||||
turns on, as AssemblyAI's utterances need speaker labels.
|
||||
provider-native strings — OpenAI `A` or a known speaker name, Deepgram `0`, Gemini `spk:0`, AssemblyAI `A` — with no
|
||||
cross-provider speaker model. `speakers` is the exact number of speakers to label, which AssemblyAI (`speakers_expected`, the only route that
|
||||
accepts it) treats as a constraint rather than a hint.
|
||||
- **Language** is passed through (`language`, OpenAI `gpt-transcribe` `languages[]`, Gemini `languageCodes`,
|
||||
AssemblyAI and ElevenLabs `language_code`). `response.language` is the provider's own value, lowercased but not
|
||||
normalized: an ISO code on most routes (AssemblyAI's detection returns `en`, ElevenLabs ISO 639-3 `eng`), `english`
|
||||
from whisper-1. Deepgram and AssemblyAI assume English unless asked to detect, so a missing `language` enables their
|
||||
detection.
|
||||
AssemblyAI `language_code`). `response.language` is the provider's own value, lowercased but not normalized: an
|
||||
ISO code on most routes (AssemblyAI's detection returns `en`), `english` from whisper-1. Deepgram and AssemblyAI
|
||||
assume English unless asked to detect, so a missing `language` enables their detection.
|
||||
- **Gemini** requires a transcribe model; other model ids fail with `UnsupportedOperation` before the call, because
|
||||
general models ignore `audioTranscriptionConfig` and answer conversationally. Streamed chunks carry whole speaker
|
||||
turns (one part per turn), which join with a space.
|
||||
@@ -337,12 +332,11 @@ Settled rules:
|
||||
| OpenAI | stream (`stream: true` in `stream` mode; `whisper-1` ignores `stream`, so it emits only `finish`) | multipart `file` (inline only) | `whisper-1` (`verbose_json`); diarize model: `segment` | `gpt-4o-transcribe-diarize` (`diarized_json`) | `speakers`; `prompt` on the diarize model | `tokens` or `seconds` |
|
||||
| Gemini | stream (`generateContent` / `streamGenerateContent`) | `inlineData` or Gemini Files `fileData` | `audioTranscriptionConfig.wordTimestamp` | `audioTranscriptionConfig.diarization` | `prompt`, `speakers` | `tokens` |
|
||||
| Deepgram | inline | raw body, or JSON `{ url }` | words always; `segment` → `utterances` | `diarize_model=latest` + `utterances` | `prompt`, `speakers` | `seconds` (`metadata.duration`) |
|
||||
| ElevenLabs | inline | multipart `file`, or `source_url` | words always; `segment` → `diarize` (speaker turns) | `diarize` | `prompt`; `webhook`, per-channel `use_multi_channel` | `seconds` (`audio_duration_secs`) |
|
||||
| AssemblyAI | queued (upload → submit → poll) | `/v2/upload` then `audio_url`, or a URL | words always; `segment` → `speaker_labels` | `speaker_labels` | — | `seconds` (`audio_duration`) |
|
||||
|
||||
Deferred: `Transcription.session(...)` — realtime STT over WebSocket (Deepgram live, AssemblyAI streaming, ElevenLabs
|
||||
realtime, OpenAI realtime transcription) — is the same future scoped `session` shape as input-streaming TTS and ships
|
||||
with the realtime work in phase 5.
|
||||
with the realtime work in phase 5. ElevenLabs Scribe is not implemented yet.
|
||||
|
||||
### `Generation` — shared async execution
|
||||
|
||||
@@ -367,10 +361,6 @@ Poll = { interval?: Duration; timeout?: Duration }
|
||||
|
||||
`Generation` is not video-specific. Image routes on BFL, fal, Replicate, and Stability `upscale()` are queued; `Image.start` exists for them. A route declares itself `inline` or `queued`; `generate` on a queued route is `start` then `await`.
|
||||
|
||||
Status polls and result reads retry transient failures (rate limits, provider 5xx, and transport errors, classified by the same `isRetryable` the Session runner uses) inside `MediaRoute.queued`. Only the HTTP exchange retries, never the decoded document: a terminal `failed` generation also surfaces as `ProviderInternal` and must not be re-read. Gaps grow exponentially from 1s with jitter, up to 30s each, honoring a provider `retry-after` up to that cap, for at most 8 retries. `await`, `events`, and `Video.stream` cut retries off at `poll.timeout` and fail with `Timeout`, so retries never extend the caller's deadline; a direct `result()` or `resume` read is bounded by the retry cap alone. `start` and `cancel` never retry: a repeated submit can start and bill a second job. The policy is internal; there is no option for it.
|
||||
|
||||
Interrupting `await`, `events`, or `Video.stream` (or aborting the promise API's `signal`) stops waiting only. The provider job keeps running and billing; call `cancel()` explicitly to stop it.
|
||||
|
||||
### Usage
|
||||
|
||||
```ts
|
||||
@@ -412,7 +402,7 @@ for await (const event of ai.llm.stream(request)) { … }
|
||||
await ai.dispose()
|
||||
```
|
||||
|
||||
Streams become `AsyncIterable` via `Stream.toAsyncIterable`. `AIError` is thrown as-is. Aborting an `AbortSignal` interrupts the work and, like `fetch`, rejects the Promise or throws from the stream with `signal.reason` instead of ending the stream as if complete. Nothing in `src/*` except this entrypoint knows about promises.
|
||||
Streams become `AsyncIterable` via `Stream.toAsyncIterable`. `AIError` is thrown as-is. `AbortSignal` maps to interruption. Nothing in `src/*` except this entrypoint knows about promises.
|
||||
|
||||
### Providers
|
||||
|
||||
@@ -424,7 +414,7 @@ implemented):
|
||||
| `OpenAI` | responses (default), chat | Images API (stream) | *Sora skipped (decision 8)* | ✓ | ✓ | |
|
||||
| `Google` | Gemini | Gemini-native | Veo | Gemini TTS | `gemini-3.5-transcribe` | |
|
||||
| `XAI` | ✓ | ✓ | ✓ | | | |
|
||||
| `ElevenLabs` | | | | ✓ | Scribe | *soundEffect, music (phase 5)* |
|
||||
| `ElevenLabs` | | | | ✓ | *Scribe (pending)* | *soundEffect, music (phase 5)* |
|
||||
| `Cartesia` | | | | ✓ | | |
|
||||
| `Deepgram` | | | | Aura | ✓ | |
|
||||
| `Fal` | | ✓ (queued) | ✓ | | | |
|
||||
@@ -477,7 +467,7 @@ Foundation + Image ship together as the reference implementation, serially. Vide
|
||||
|
||||
1. **Foundation** — per-modality selectors, `Media`, `Generation`, `Poll`, `Usage` union, `MediaProtocol` kinds, `@opencode/ai/promise` with `llm` + `image`. Port the five existing image protocols onto it. Unify `MediaPart` and add the `media` LLM event (fixes Gemini image output being dropped).
|
||||
2. **Video** — ✅ Veo, xAI, fal, Runway shipped (`MediaProtocol.queued`, `Video.start/generate/resume/stream`, promise `ai.video`). Deferred: `Video.complete` (webhooks), Luma, Kling, MiniMax, Replicate.
|
||||
3. **Speech + Transcription** — ✅ Speech: OpenAI, Gemini TTS, ElevenLabs, Cartesia, Deepgram shipped (`MediaProtocol.stream`, `Speech.generate/stream`, promise `ai.speech`). ✅ Transcription: OpenAI, Gemini, Deepgram, ElevenLabs Scribe, AssemblyAI shipped across all three route kinds (`Transcription.generate/stream/start/resume`, promise `ai.transcription`). Deferred: `Speech.session` and `Transcription.session` (WebSocket streaming).
|
||||
3. **Speech + Transcription** — ✅ Speech: OpenAI, Gemini TTS, ElevenLabs, Cartesia, Deepgram shipped (`MediaProtocol.stream`, `Speech.generate/stream`, promise `ai.speech`). ✅ Transcription: OpenAI, Gemini, Deepgram, AssemblyAI shipped across all three route kinds (`Transcription.generate/stream/start/resume`, promise `ai.transcription`). Pending: ElevenLabs Scribe. Deferred: `Speech.session` and `Transcription.session` (WebSocket streaming).
|
||||
4. **Image queued routes and partials** — ✅ BFL, fal, Replicate, and Stability creative upscale queued; Stability generate inline; OpenAI `partial_images` streaming (`image-partial` restored). Imagen dropped: shut down on the Gemini API and discontinued on Vertex (2026-06-30). Deferred: Stability's synchronous edit and fast/conservative upscale endpoints.
|
||||
5. **Later** — ElevenLabs music/SFX, Lyria, `Speech.session` / `Transcription.session`, realtime.
|
||||
|
||||
|
||||
@@ -15,7 +15,7 @@ import { OpenAI } from "@opencode/ai/providers"
|
||||
* hover imports and local values to see how the public API is typed.
|
||||
*/
|
||||
|
||||
const apiKey = Config.redacted("OPENAI_API_KEY")
|
||||
const apiKey = Config.Redacted("OPENAI_API_KEY")
|
||||
|
||||
// 1. Configure a provider. The configured facade records provider identity,
|
||||
// deployment options, authentication, and defaults. Per-modality selectors pick
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "2.0.21",
|
||||
"version": "2.0.18",
|
||||
"name": "@opencode/ai",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -383,7 +383,7 @@ const readEnvFile = Effect.fn("RecordingEnv.readFile")(function* () {
|
||||
})
|
||||
|
||||
const readConfigString = (provider: ConfigProvider.ConfigProvider, name: string) =>
|
||||
Config.string(name)
|
||||
Config.String(name)
|
||||
.parse(provider)
|
||||
.pipe(
|
||||
Effect.match({
|
||||
|
||||
@@ -38,31 +38,12 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
|
||||
// prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
|
||||
// whole policy pass for these — emitting hints would be harmless but pointless.
|
||||
const RESPECTS_INLINE_HINTS = new Set([
|
||||
"alibaba-messages",
|
||||
"anthropic-messages",
|
||||
"anthropic-compatible-messages",
|
||||
"cloudflare-ai-gateway-messages",
|
||||
"google-vertex-messages",
|
||||
"meta-messages",
|
||||
"minimax-messages",
|
||||
"moonshot-messages",
|
||||
"zai-coding-messages",
|
||||
"bedrock-converse",
|
||||
"openrouter",
|
||||
"digitalocean",
|
||||
])
|
||||
|
||||
// OpenRouter upstreams other than Anthropic and Alibaba Qwen cache without breakpoints. Gemini uses only the last
|
||||
// breakpoint, so a conversation-tail breakpoint writes a new cache every step and costs more than none. Qwen ignores
|
||||
// breakpoints on tool definitions and caches tools with the system prompt.
|
||||
const openRouterPolicy = (modelID: string): CachePolicyObject => {
|
||||
// `~anthropic/claude-sonnet-latest` style IDs are OpenRouter aliases for the latest model in a family.
|
||||
const id = modelID.replace(/^~/, "")
|
||||
if (id.startsWith("anthropic/")) return AUTO
|
||||
if (id.startsWith("qwen/")) return { system: true, messages: { tail: 1 } }
|
||||
return NONE
|
||||
}
|
||||
|
||||
const makeHint = (ttlSeconds: number | undefined): CacheHint =>
|
||||
ttlSeconds !== undefined ? new CacheHint({ type: "ephemeral", ttlSeconds }) : new CacheHint({ type: "ephemeral" })
|
||||
|
||||
@@ -168,10 +149,9 @@ const countHints = (request: LLMRequest) =>
|
||||
|
||||
export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
|
||||
if (!RESPECTS_INLINE_HINTS.has(request.model.route.id)) return request
|
||||
const policy =
|
||||
request.model.route.id === "openrouter" && (request.cache === undefined || request.cache === "auto")
|
||||
? openRouterPolicy(request.model.id)
|
||||
: resolve(request.cache)
|
||||
if (request.model.route.id === "openrouter" && (request.cache === undefined || request.cache === "auto"))
|
||||
return request
|
||||
const policy = resolve(request.cache)
|
||||
if (!policy.tools && !policy.system && !policy.messages) return request
|
||||
|
||||
const hint = makeHint(policy.ttlSeconds)
|
||||
|
||||
@@ -63,7 +63,6 @@ export const ChoiceAnswer = Schema.Struct({
|
||||
type: Schema.Literal("choice"),
|
||||
choice: Schema.String,
|
||||
probabilities: Schema.optional(Schema.Record(Schema.String, Probability)),
|
||||
confidence: Schema.optional(Probability),
|
||||
})
|
||||
export type ChoiceAnswer = Schema.Schema.Type<typeof ChoiceAnswer>
|
||||
|
||||
@@ -71,7 +70,6 @@ export const ScoreAnswer = Schema.Struct({
|
||||
type: Schema.Literal("score"),
|
||||
score: Schema.Number,
|
||||
probabilities: Schema.optional(Schema.Record(Schema.String, Probability)),
|
||||
confidence: Schema.optional(Probability),
|
||||
})
|
||||
export type ScoreAnswer = Schema.Schema.Type<typeof ScoreAnswer>
|
||||
|
||||
@@ -94,7 +92,6 @@ export type AnswerFor<Question extends EvaluationQuestion> = Question extends {
|
||||
readonly type: "choice"
|
||||
readonly choice: Extract<keyof Criteria, string>
|
||||
readonly probabilities?: Readonly<Record<Extract<keyof Criteria, string>, number>>
|
||||
readonly confidence?: number
|
||||
}
|
||||
: Question extends { readonly type: "score" }
|
||||
? ScoreAnswer
|
||||
|
||||
@@ -142,37 +142,32 @@ export const model = <Options extends EvaluationOptions = EvaluationOptions>(cfg
|
||||
Effect.mapError((cause) => fail("System One returned an invalid response", cause, text)),
|
||||
)
|
||||
|
||||
const confidence: Record<string, number> = {}
|
||||
const legend: Record<string, Record<string, Schema.Json>> = {}
|
||||
const answers = Object.fromEntries(
|
||||
Object.entries(data.answers).map(([id, answer]): [string, EvaluationAnswer] => {
|
||||
if (answer.type === "noul") return [id, { type: "boolean", probability: answer.noul }]
|
||||
if (answer.type === "choice") {
|
||||
if (answer.confidence !== undefined) confidence[id] = answer.confidence
|
||||
return [
|
||||
id,
|
||||
{
|
||||
type: "choice",
|
||||
choice: answer.choice,
|
||||
probabilities: answer.probabilities,
|
||||
...(answer.confidence === undefined ? {} : { confidence: answer.confidence }),
|
||||
},
|
||||
]
|
||||
}
|
||||
if (answer.confidence !== undefined) confidence[id] = answer.confidence
|
||||
if (answer.legend !== undefined) legend[id] = answer.legend
|
||||
return [
|
||||
id,
|
||||
{
|
||||
type: "score",
|
||||
score: answer.score,
|
||||
probabilities: answer.probabilities,
|
||||
...(answer.confidence === undefined ? {} : { confidence: answer.confidence }),
|
||||
},
|
||||
]
|
||||
return [id, { type: "score", score: answer.score, probabilities: answer.probabilities }]
|
||||
}),
|
||||
)
|
||||
const meta = {
|
||||
...(data.id === undefined ? {} : { responseId: data.id }),
|
||||
...(data.provider === undefined ? {} : { provider: data.provider }),
|
||||
...data.provider_metadata?.[cfg.providerMetadataKey],
|
||||
...(Object.keys(confidence).length === 0 ? {} : { confidence }),
|
||||
...(Object.keys(legend).length === 0 ? {} : { legend }),
|
||||
}
|
||||
return new EvaluationResponse({
|
||||
|
||||
@@ -102,7 +102,7 @@ export class Generation<Response> {
|
||||
return settled.pipe(
|
||||
// Non-completed terminal states also go through `result` so the route can surface its provider failure body.
|
||||
Effect.flatMap((generation) => generation.result()),
|
||||
Effect.timeoutOrElse({ duration: timeout, orElse: () => timeoutError(this.id, timeout) }),
|
||||
Effect.timeoutOrElse({ duration: timeout, orElse: () => this.timeoutError(timeout) }),
|
||||
)
|
||||
}
|
||||
|
||||
@@ -123,7 +123,20 @@ export class Generation<Response> {
|
||||
Clock.currentTimeMillis.pipe(
|
||||
Effect.map((start) => {
|
||||
const deadline = start + Duration.toMillis(timeout)
|
||||
const refresh = within(this.refresh(), this.id, timeout, deadline)
|
||||
// Fail before polling once the deadline has passed: a fast status request could otherwise win the zero-budget
|
||||
// race and schedule another zero-delay poll.
|
||||
const refresh = Clock.currentTimeMillis.pipe(
|
||||
Effect.flatMap((now) =>
|
||||
now >= deadline
|
||||
? this.timeoutError(timeout)
|
||||
: this.refresh().pipe(
|
||||
Effect.timeoutOrElse({
|
||||
duration: Duration.millis(deadline - now),
|
||||
orElse: () => this.timeoutError(timeout),
|
||||
}),
|
||||
),
|
||||
),
|
||||
)
|
||||
const schedule = this.schedule(options?.poll).pipe(
|
||||
Schedule.modifyDelay((meta) =>
|
||||
Effect.succeed(Duration.min(meta.duration, Duration.millis(Math.max(0, deadline - meta.now)))),
|
||||
@@ -144,6 +157,15 @@ export class Generation<Response> {
|
||||
return { type: "generation-progress", id: this.id, progress: this.progress }
|
||||
}
|
||||
|
||||
private timeoutError(timeout: Duration.Duration) {
|
||||
return new AIError({
|
||||
reason: new TimeoutError({
|
||||
message: `Generation ${this.id} did not finish within ${Duration.format(timeout)}`,
|
||||
timeoutMs: Duration.toMillis(timeout),
|
||||
}),
|
||||
})
|
||||
}
|
||||
|
||||
private poll(poll: Poll | undefined) {
|
||||
return this.refresh().pipe(
|
||||
Effect.repeat({ schedule: this.schedule(poll), until: (generation) => generation.terminal }),
|
||||
@@ -155,53 +177,12 @@ export class Generation<Response> {
|
||||
}
|
||||
}
|
||||
|
||||
/** `events` followed by the expanded result, with the result fetch bounded by the same `poll.timeout` deadline. */
|
||||
export const resultEvents = <Response, A>(
|
||||
generation: Generation<Response>,
|
||||
expand: (response: Response) => ReadonlyArray<A>,
|
||||
options?: AwaitOptions,
|
||||
): Stream.Stream<Observation | A, AIError> => {
|
||||
const timeout = Duration.fromInputUnsafe(options?.poll?.timeout ?? DEFAULT_POLL_TIMEOUT)
|
||||
return Stream.unwrap(
|
||||
Clock.currentTimeMillis.pipe(
|
||||
Effect.map((start) =>
|
||||
generation.events(options).pipe(
|
||||
Stream.filter((event): event is Observation => event.type !== "generation-finished"),
|
||||
Stream.concat(
|
||||
Stream.fromIterableEffect(
|
||||
within(generation.result(), generation.id, timeout, start + Duration.toMillis(timeout)).pipe(
|
||||
Effect.map(expand),
|
||||
),
|
||||
),
|
||||
),
|
||||
),
|
||||
),
|
||||
),
|
||||
): Stream.Stream<Observation | A, AIError> =>
|
||||
generation.events(options).pipe(
|
||||
Stream.filter((event): event is Observation => event.type !== "generation-finished"),
|
||||
Stream.concat(Stream.fromIterableEffect(Effect.map(generation.result(), expand))),
|
||||
)
|
||||
}
|
||||
|
||||
/**
|
||||
* Run `effect` within the time left until `deadline`. Fails before starting once the deadline has passed: a fast
|
||||
* request could otherwise win the zero-budget race and schedule another zero-delay poll.
|
||||
*/
|
||||
const within = <A>(effect: Effect.Effect<A, AIError>, id: string, timeout: Duration.Duration, deadline: number) =>
|
||||
Clock.currentTimeMillis.pipe(
|
||||
Effect.flatMap((now) =>
|
||||
now >= deadline
|
||||
? Effect.fail(timeoutError(id, timeout))
|
||||
: effect.pipe(
|
||||
Effect.timeoutOrElse({
|
||||
duration: Duration.millis(deadline - now),
|
||||
orElse: () => Effect.fail(timeoutError(id, timeout)),
|
||||
}),
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
const timeoutError = (id: string, timeout: Duration.Duration) =>
|
||||
new AIError({
|
||||
reason: new TimeoutError({
|
||||
message: `Generation ${id} did not finish within ${Duration.format(timeout)}`,
|
||||
timeoutMs: Duration.toMillis(timeout),
|
||||
}),
|
||||
})
|
||||
@@ -4,7 +4,7 @@ export { ImageClient } from "./image-client.js"
|
||||
export { Auth } from "./route/auth.js"
|
||||
export { Provider } from "./provider.js"
|
||||
export { ProviderPackage } from "./provider-package.js"
|
||||
export { isContextOverflow, isContextOverflowFailure, isRetryable } from "./provider-error.js"
|
||||
export { isContextOverflow, isContextOverflowFailure } from "./provider-error.js"
|
||||
export type {
|
||||
RouteLanguageModelInput,
|
||||
RouteRoutedLanguageModelInput,
|
||||
|
||||
@@ -42,7 +42,7 @@ export type GenerationHandle<Response> = Snapshot & {
|
||||
/** Serializable JSON; pass it back to `resume` from another process. */
|
||||
readonly token: unknown
|
||||
readonly await: (options?: AwaitOptions & RunOptions) => Promise<Response>
|
||||
/** Status observations until the first terminal one, polling like `await`; abort throws `signal.reason`. */
|
||||
/** Status observations until the first terminal one, polling like `await`; abort ends iteration without throwing. */
|
||||
readonly events: (options?: AwaitOptions & RunOptions) => AsyncIterable<Event>
|
||||
/** The result without polling; fails when the generation has not completed. */
|
||||
readonly result: (options?: RunOptions) => Promise<Response>
|
||||
@@ -50,16 +50,15 @@ export type GenerationHandle<Response> = Snapshot & {
|
||||
readonly cancel: (options?: RunOptions) => Promise<void>
|
||||
}
|
||||
|
||||
// Fails with `signal.reason` so aborted calls reject and aborted streams throw like `fetch`: an `AbortError` by default.
|
||||
const abortEffect = (signal: AbortSignal | undefined) =>
|
||||
signal === undefined
|
||||
? Effect.never
|
||||
: Effect.callback<never, unknown>((resume) => {
|
||||
: Effect.callback<void>((resume) => {
|
||||
if (signal.aborted) {
|
||||
resume(Effect.fail(signal.reason))
|
||||
resume(Effect.void)
|
||||
return
|
||||
}
|
||||
const onAbort = () => resume(Effect.fail(signal.reason))
|
||||
const onAbort = () => resume(Effect.void)
|
||||
signal.addEventListener("abort", onAbort, { once: true })
|
||||
return Effect.sync(() => signal.removeEventListener("abort", onAbort))
|
||||
})
|
||||
@@ -69,14 +68,14 @@ export const make = (options: Options = {}) => {
|
||||
|
||||
/** Run any package Effect (for example `LLMClient.compact(...)`) inside this runtime. */
|
||||
const run = <A, E>(effect: Effect.Effect<A, E, Services>, options?: RunOptions) =>
|
||||
runtime.runPromise(Effect.raceFirst(effect, abortEffect(options?.signal)))
|
||||
runtime.runPromise(effect, { signal: options?.signal })
|
||||
|
||||
const iterate = <A, E>(stream: Stream.Stream<A, E, Services>, options?: RunOptions): AsyncIterable<A> =>
|
||||
Stream.toAsyncIterable(
|
||||
Stream.unwrap(
|
||||
runtime.contextEffect.pipe(
|
||||
Effect.map(
|
||||
(context): Stream.Stream<A, unknown> =>
|
||||
(context): Stream.Stream<A, E> =>
|
||||
stream.pipe(Stream.interruptWhen(abortEffect(options?.signal)), Stream.provideContext(context)),
|
||||
),
|
||||
),
|
||||
|
||||
@@ -29,7 +29,6 @@ import { JsonObject, knownString, optionalArray, optionalNull, ProviderShared }
|
||||
import { classifyProviderFailure } from "../provider-error.js"
|
||||
import { effortUpdate, resolveEffortUpdates } from "../effort-updates.js"
|
||||
import * as Cache from "./utils/cache.js"
|
||||
import { claudeVersion, supportsThinkingBlockBinding, THINKING_BINDING_BETA } from "./utils/claude-model.js"
|
||||
import { Lifecycle } from "./utils/lifecycle.js"
|
||||
import { ToolStream } from "./utils/tool-stream.js"
|
||||
|
||||
@@ -451,9 +450,6 @@ const AnthropicStreamDelta = Schema.Struct({
|
||||
signature: Schema.optional(Schema.String),
|
||||
stop_reason: optionalNull(Schema.String),
|
||||
stop_sequence: optionalNull(Schema.String),
|
||||
stop_details: optionalNull(
|
||||
Schema.Struct({ category: optionalNull(Schema.String), explanation: optionalNull(Schema.String) }),
|
||||
),
|
||||
})
|
||||
type AnthropicStreamDelta = Schema.Schema.Type<typeof AnthropicStreamDelta>
|
||||
const decodeAnthropicStreamDelta = Schema.decodeUnknownOption(AnthropicStreamDelta)
|
||||
@@ -807,12 +803,15 @@ const requireThinkingSignature = (request: LLMRequest) => {
|
||||
// Mid-conversation system messages became available with Opus 4.8 and version
|
||||
// 5 of the other supported Claude families. Treat later family versions as
|
||||
// compatible without assuming that every Anthropic Messages model is Claude.
|
||||
// Opus 4.8 and every Claude 5 model accept mid-conversation system messages; later versions inherit support.
|
||||
const supportsNativeSystemUpdates = (request: LLMRequest) => {
|
||||
const version = claudeVersion(String(request.model.id))
|
||||
if (version === undefined) return false
|
||||
if (version.family === "opus" && version.major === 4) return version.minor >= 8
|
||||
return version.major >= 5
|
||||
const match = /(?:^|[./])claude-(fable|haiku|mythos|opus|sonnet)-(\d+)(?:[.-](\d+))?/.exec(
|
||||
String(request.model.id).toLowerCase(),
|
||||
)
|
||||
if (!match) return false
|
||||
const major = Number(match[2])
|
||||
if (match[1] !== "opus") return major >= 5
|
||||
if (major !== 4) return major >= 5
|
||||
return match[3] !== undefined && match[3].length <= 2 && Number(match[3]) >= 8
|
||||
}
|
||||
|
||||
const endsInServerToolUse = (message: LLMRequest["messages"][number]) => {
|
||||
@@ -989,13 +988,29 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
|
||||
return messages
|
||||
})
|
||||
|
||||
// Per-turn effort started with Claude Opus 5 and every Claude 5.1 model; later versions of any family inherit it.
|
||||
// Accept gateway namespaces and Vertex suffixes without treating a snapshot date as a minor version.
|
||||
const claudeVersion = (id: string) => {
|
||||
const match = /(?:^|[./])claude-(?<family>[a-z]+)-(?<major>\d+)(?:[.-](?<minor>\d{1,2}))?(?:$|[-:@])/.exec(
|
||||
id.toLowerCase(),
|
||||
)?.groups
|
||||
if (!match) return undefined
|
||||
return { family: match.family, major: Number(match.major), minor: Number(match.minor ?? 0) }
|
||||
}
|
||||
|
||||
const supportsThinkingBlockBinding = (model: LLMRequest["model"]) => {
|
||||
const override = model.compatibility?.supportsThinkingBlockBinding
|
||||
if (override !== undefined) return override
|
||||
const version = claudeVersion(model.id)
|
||||
return version !== undefined && (version.major > 5 || (version.major === 5 && version.minor >= 1))
|
||||
}
|
||||
|
||||
const supportsEffortUpdates = (model: LLMRequest["model"]) => {
|
||||
const override = model.compatibility?.supportsEffortUpdates
|
||||
if (override !== undefined) return override
|
||||
const version = claudeVersion(model.id)
|
||||
if (version === undefined) return false
|
||||
if (version.family === "opus" && version.major >= 5) return true
|
||||
if (version.family === "opus") return version.major >= 5
|
||||
if (version.family !== "fable" && version.family !== "mythos") return false
|
||||
return version.major > 5 || (version.major === 5 && version.minor >= 1)
|
||||
}
|
||||
|
||||
@@ -1417,14 +1432,10 @@ const onMessageDelta = (
|
||||
stopSequence === null || stopSequence === undefined
|
||||
? state.pendingFinish?.providerMetadata
|
||||
: providerMetadata(state.providerMetadataKey, { stopSequence })
|
||||
const category = event.delta?.stop_details?.category
|
||||
const explanation = event.delta?.stop_details?.explanation
|
||||
return {
|
||||
reason: {
|
||||
normalized: mapFinishReason(stopReason),
|
||||
raw: stopReason,
|
||||
...(category ? { category } : {}),
|
||||
...(explanation ? { explanation } : {}),
|
||||
},
|
||||
providerMetadata: finishMetadata,
|
||||
}
|
||||
@@ -1641,7 +1652,8 @@ function requiredBetaHeaders(body: Pick<AnthropicMessagesBody, "messages" | "con
|
||||
betas.push("mid-conversation-output-config-2026-07-01")
|
||||
|
||||
const thinking = body.thinking
|
||||
if (thinking && thinking.type !== "disabled" && thinking.block_binding) betas.push(THINKING_BINDING_BETA)
|
||||
if (thinking && thinking.type !== "disabled" && thinking.block_binding)
|
||||
betas.push("thinking-binding-controls-2026-08-01")
|
||||
return betas
|
||||
}
|
||||
|
||||
|
||||
@@ -23,7 +23,6 @@ import { JsonObject, optionalArray, ProviderShared } from "./shared.js"
|
||||
import { BedrockAuth } from "./utils/bedrock-auth.js"
|
||||
import { BedrockCache } from "./utils/bedrock-cache.js"
|
||||
import { BedrockMedia } from "./utils/bedrock-media.js"
|
||||
import { supportsThinkingBlockBinding, THINKING_BINDING_BETA } from "./utils/claude-model.js"
|
||||
import { Lifecycle } from "./utils/lifecycle.js"
|
||||
import { MistralToolID } from "./utils/mistral-tool-id.js"
|
||||
import { ToolStream } from "./utils/tool-stream.js"
|
||||
@@ -319,9 +318,6 @@ const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
|
||||
} satisfies BedrockToolResultBlock
|
||||
})
|
||||
|
||||
// Keep Claude and Nova tool-result images inline; put other models' images beside the result.
|
||||
const keepToolImagesInline = (id: string) => id.includes("anthropic.claude-") || id.includes("amazon.nova-")
|
||||
|
||||
const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
|
||||
request: LLMRequest,
|
||||
breakpoints: BedrockCache.Breakpoints,
|
||||
@@ -331,19 +327,8 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
|
||||
// Mistral can reject replay IDs even when they satisfy Converse's broader ID syntax.
|
||||
const normalizeID = request.model.id.includes("mistral.") ? MistralToolID.normalizer(request) : (id: string) => id
|
||||
const providerMetadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
|
||||
const hoistImages = !keepToolImagesInline(request.model.id)
|
||||
// Bedrock expects parallel tool results before any images hoisted beside them.
|
||||
const pendingImages: BedrockMedia.ImageBlock[] = []
|
||||
const flushImages = () => {
|
||||
if (pendingImages.length === 0) return
|
||||
const previous = messages.at(-1)
|
||||
if (previous?.role === "user")
|
||||
messages[messages.length - 1] = { role: "user", content: [...previous.content, ...pendingImages] }
|
||||
pendingImages.length = 0
|
||||
}
|
||||
|
||||
for (const message of request.messages) {
|
||||
if (message.role !== "tool") flushImages()
|
||||
if (message.role === "system") {
|
||||
const part = yield* ProviderShared.wrappedSystemUpdate("Bedrock Converse", message)
|
||||
const content = textWithCache(breakpoints, part.text, part.cache)
|
||||
@@ -417,22 +402,7 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
|
||||
for (const part of message.content) {
|
||||
if (!ProviderShared.supportsContent(part, ["tool-result"]))
|
||||
return yield* ProviderShared.unsupportedContent("Bedrock Converse", "tool", ["tool-result"])
|
||||
const result = yield* lowerToolResult(part, documentNames, normalizeID)
|
||||
const images: BedrockMedia.ImageBlock[] = hoistImages
|
||||
? result.toolResult.content.filter((item) => "image" in item)
|
||||
: []
|
||||
const nonImageContent = result.toolResult.content.filter((item) => !("image" in item))
|
||||
content.push(
|
||||
images.length === 0
|
||||
? result
|
||||
: {
|
||||
toolResult: {
|
||||
...result.toolResult,
|
||||
content: nonImageContent.length > 0 ? nonImageContent : [{ text: "See attached image." }],
|
||||
},
|
||||
},
|
||||
)
|
||||
pendingImages.push(...images)
|
||||
content.push(yield* lowerToolResult(part, documentNames, normalizeID))
|
||||
const cachePoint = BedrockCache.block(breakpoints, part.cache)
|
||||
if (cachePoint) content.push(cachePoint)
|
||||
}
|
||||
@@ -442,7 +412,6 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
|
||||
else messages.push({ role: "user", content })
|
||||
}
|
||||
|
||||
flushImages()
|
||||
return messages
|
||||
})
|
||||
|
||||
@@ -474,23 +443,6 @@ const decodeOptions = ProviderShared.validateWith(Schema.decodeUnknownEffect(Opt
|
||||
// Claude on Bedrock requires the thinking budget below `maxTokens`, with a minimum of 1,024.
|
||||
const MIN_THINKING_BUDGET = 1_024
|
||||
|
||||
const isThinkingDisabled = Schema.is(
|
||||
Schema.Struct({
|
||||
additionalModelRequestFields: Schema.Struct({ thinking: Schema.Struct({ type: Schema.Literal("disabled") }) }),
|
||||
}),
|
||||
)
|
||||
|
||||
// Claude 5.1+ binds each thinking signature to the prefix above it. Ask Bedrock to drop the affected blocks instead of
|
||||
// failing when that prefix changes. `http.body` overlays this field by field, so callers can still override it.
|
||||
const applyThinkingBindingDefault = (request: LLMRequest, thinking: Readonly<Record<string, unknown>> | undefined) => {
|
||||
if (isThinkingDisabled(request.http?.body)) return thinking
|
||||
if (!supportsThinkingBlockBinding(request.model)) return thinking
|
||||
return {
|
||||
...(thinking ?? { type: "adaptive" as const }),
|
||||
block_binding: { prefix_mismatch_behavior: "drop_block" },
|
||||
}
|
||||
}
|
||||
|
||||
const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request: LLMRequest) {
|
||||
const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined
|
||||
const flattened = ProviderShared.flattenToolRequest(request)
|
||||
@@ -498,8 +450,7 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
|
||||
const options = yield* decodeOptions(request.providerOptions ?? {})
|
||||
const maxTokens =
|
||||
isNova2(request.model) && isHighReasoningEffort(request.http?.body) ? undefined : generation?.maxTokens
|
||||
const thinking = applyThinkingBindingDefault(
|
||||
request,
|
||||
const thinking =
|
||||
options.thinking === undefined
|
||||
? undefined
|
||||
: {
|
||||
@@ -509,8 +460,7 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
|
||||
maxTokens,
|
||||
MIN_THINKING_BUDGET,
|
||||
),
|
||||
},
|
||||
)
|
||||
}
|
||||
// Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in
|
||||
// tools → system → messages order to favour the highest-impact prefixes.
|
||||
const breakpoints = BedrockCache.breakpoints(request.model.id)
|
||||
@@ -559,8 +509,6 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
|
||||
: {
|
||||
...(generation?.topK === undefined ? {} : { top_k: generation.topK }),
|
||||
...(thinking === undefined ? {} : { thinking }),
|
||||
// Converse takes Anthropic betas in the body, and Bedrock rejects `block_binding` without this one.
|
||||
...(thinking?.block_binding === undefined ? {} : { anthropic_beta: [THINKING_BINDING_BETA] }),
|
||||
},
|
||||
}
|
||||
})
|
||||
@@ -607,7 +555,7 @@ interface ParserState {
|
||||
readonly hasToolCalls: boolean
|
||||
readonly lifecycle: Lifecycle.State
|
||||
readonly reasoningSignatures: Readonly<Record<number, string>>
|
||||
readonly reasoningRedactedContent: Readonly<Record<number, Uint8Array[]>>
|
||||
readonly reasoningRedactedContent: Readonly<Record<number, ReadonlyArray<Uint8Array>>>
|
||||
}
|
||||
|
||||
const encodeRedactedContent = (chunks: ReadonlyArray<Uint8Array>) => Encoding.encodeBase64(concatBytes(chunks))
|
||||
@@ -657,9 +605,10 @@ const step = (state: ParserState, event: BedrockEvent) =>
|
||||
const index = event.contentBlockDelta.contentBlockIndex
|
||||
const reasoning = event.contentBlockDelta.delta.reasoningContent
|
||||
const events: LLMEvent[] = []
|
||||
const redactedChunk = yield* (() => {
|
||||
const redactedChunks = yield* (() => {
|
||||
if (reasoning.redactedContent === undefined) return Effect.succeed(undefined)
|
||||
return Effect.fromResult(Encoding.decodeBase64(reasoning.redactedContent)).pipe(
|
||||
Effect.map((chunk) => [...(state.reasoningRedactedContent[index] ?? []), chunk]),
|
||||
Effect.mapError((cause) =>
|
||||
ProviderShared.eventError(
|
||||
ADAPTER,
|
||||
@@ -670,21 +619,17 @@ const step = (state: ParserState, event: BedrockEvent) =>
|
||||
),
|
||||
)
|
||||
})()
|
||||
const redactedChunks = state.reasoningRedactedContent[index] ?? []
|
||||
if (redactedChunk !== undefined) redactedChunks.push(redactedChunk)
|
||||
const redactedData = redactedChunks === undefined ? reasoning.data : encodeRedactedContent(redactedChunks)
|
||||
const metadata = (() => {
|
||||
if (reasoning.signature) return providerMetadata(state.providerMetadataKey, { signature: reasoning.signature })
|
||||
if (redactedChunk === undefined && reasoning.data !== undefined)
|
||||
return providerMetadata(state.providerMetadataKey, { redactedData: reasoning.data })
|
||||
if (redactedData !== undefined) return providerMetadata(state.providerMetadataKey, { redactedData })
|
||||
})()
|
||||
const lifecycle = (() => {
|
||||
if (reasoning.text !== undefined || metadata !== undefined)
|
||||
return Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text ?? "", metadata)
|
||||
if (redactedChunk !== undefined) return Lifecycle.reasoningStart(state.lifecycle, events, `reasoning-${index}`)
|
||||
return state.lifecycle
|
||||
if (reasoning.text === undefined && metadata === undefined) return state.lifecycle
|
||||
return Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text ?? "", metadata)
|
||||
})()
|
||||
const reasoningRedactedContent = (() => {
|
||||
if (redactedChunk !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
|
||||
if (redactedChunks !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
|
||||
if (reasoning.data === undefined) return state.reasoningRedactedContent
|
||||
return Object.fromEntries(
|
||||
Object.entries(state.reasoningRedactedContent).filter(([key]) => key !== String(index)),
|
||||
@@ -820,19 +765,7 @@ const onHalt = (state: ParserState): ReadonlyArray<LLMEvent> => {
|
||||
return state.finishReason.normalized
|
||||
})()
|
||||
const events: LLMEvent[] = []
|
||||
const lifecycle = Object.entries(state.reasoningRedactedContent).reduce((current, [index, chunks]) => {
|
||||
const signature = state.reasoningSignatures[Number(index)]
|
||||
return Lifecycle.reasoningEnd(
|
||||
current,
|
||||
events,
|
||||
`reasoning-${index}`,
|
||||
providerMetadata(
|
||||
state.providerMetadataKey,
|
||||
signature ? { signature } : { redactedData: encodeRedactedContent(chunks) },
|
||||
),
|
||||
)
|
||||
}, state.lifecycle)
|
||||
Lifecycle.finish(lifecycle, events, {
|
||||
Lifecycle.finish(state.lifecycle, events, {
|
||||
reason: {
|
||||
...state.finishReason,
|
||||
normalized,
|
||||
|
||||
@@ -1,326 +0,0 @@
|
||||
import { Effect, Schema } from "effect"
|
||||
import { Route } from "../route/client.js"
|
||||
import { Endpoint } from "../route/endpoint.js"
|
||||
import { Framing } from "../route/framing.js"
|
||||
import { Protocol } from "../route/protocol.js"
|
||||
import { LLMEvent, Usage, type FinishReasonDetails, type LLMRequest } from "../schema/index.js"
|
||||
import { ProviderShared } from "./shared.js"
|
||||
import { Lifecycle } from "./utils/lifecycle.js"
|
||||
import { ToolStream } from "./utils/tool-stream.js"
|
||||
|
||||
const ADAPTER = "cohere-chat"
|
||||
export const DEFAULT_BASE_URL = "https://api.cohere.com/v2"
|
||||
|
||||
const Options = Schema.Struct({
|
||||
thinking: Schema.optional(
|
||||
Schema.Struct({
|
||||
type: Schema.optional(Schema.Literals(["enabled", "disabled"])),
|
||||
tokenBudget: Schema.optional(Schema.Int.check(Schema.isGreaterThan(0))),
|
||||
}),
|
||||
),
|
||||
})
|
||||
export type ProviderOptionsInput = Schema.Schema.Type<typeof Options>
|
||||
|
||||
const Content = Schema.Union([
|
||||
Schema.Struct({ type: Schema.Literal("text"), text: Schema.String }),
|
||||
Schema.Struct({ type: Schema.Literal("thinking"), thinking: Schema.String }),
|
||||
Schema.Struct({ type: Schema.Literal("image_url"), image_url: Schema.Struct({ url: Schema.String }) }),
|
||||
])
|
||||
const ToolCall = Schema.Struct({
|
||||
id: Schema.String,
|
||||
type: Schema.Literal("function"),
|
||||
function: Schema.Struct({ name: Schema.String, arguments: Schema.String }),
|
||||
})
|
||||
const Message = Schema.Struct({
|
||||
role: Schema.Literals(["system", "user", "assistant", "tool"]),
|
||||
content: Schema.optional(Schema.Union([Schema.String, Schema.Array(Content)])),
|
||||
tool_calls: Schema.optional(Schema.Array(ToolCall)),
|
||||
tool_call_id: Schema.optional(Schema.String),
|
||||
tool_plan: Schema.optional(Schema.String),
|
||||
})
|
||||
const Body = Schema.Struct({
|
||||
model: Schema.String,
|
||||
messages: Schema.Array(Message),
|
||||
stream: Schema.Literal(true),
|
||||
tools: Schema.optional(
|
||||
Schema.Array(
|
||||
Schema.Struct({
|
||||
type: Schema.Literal("function"),
|
||||
function: Schema.Struct({
|
||||
name: Schema.String,
|
||||
description: Schema.optional(Schema.String),
|
||||
parameters: Schema.Unknown,
|
||||
}),
|
||||
}),
|
||||
),
|
||||
),
|
||||
tool_choice: Schema.optional(Schema.Literals(["NONE", "REQUIRED"])),
|
||||
thinking: Schema.optional(Schema.Struct({ type: Schema.String, token_budget: Schema.optional(Schema.Number) })),
|
||||
max_tokens: Schema.optional(Schema.Number),
|
||||
temperature: Schema.optional(Schema.Number),
|
||||
p: Schema.optional(Schema.Number),
|
||||
k: Schema.optional(Schema.Number),
|
||||
seed: Schema.optional(Schema.Number),
|
||||
stop_sequences: Schema.optional(Schema.Array(Schema.String)),
|
||||
frequency_penalty: Schema.optional(Schema.Number),
|
||||
presence_penalty: Schema.optional(Schema.Number),
|
||||
})
|
||||
const TokenCounts = Schema.Struct({
|
||||
input_tokens: Schema.optional(Schema.Number),
|
||||
output_tokens: Schema.optional(Schema.Number),
|
||||
reasoning_tokens: Schema.optional(Schema.Number),
|
||||
})
|
||||
const NativeUsage = Schema.Struct({
|
||||
tokens: Schema.optional(TokenCounts),
|
||||
billed_units: Schema.optional(TokenCounts),
|
||||
cached_tokens: Schema.optional(Schema.Number),
|
||||
})
|
||||
const Event = Schema.Union([
|
||||
Schema.Struct({ type: Schema.Literal("message-start") }),
|
||||
Schema.Struct({
|
||||
type: Schema.Literals(["content-start", "content-delta"]),
|
||||
index: Schema.Number,
|
||||
delta: Schema.Struct({
|
||||
message: Schema.Struct({
|
||||
content: Schema.Struct({ text: Schema.optional(Schema.String), thinking: Schema.optional(Schema.String) }),
|
||||
}),
|
||||
}),
|
||||
}),
|
||||
Schema.Struct({ type: Schema.Literal("content-end"), index: Schema.Number }),
|
||||
Schema.Struct({
|
||||
type: Schema.Literal("tool-plan-delta"),
|
||||
delta: Schema.Struct({ message: Schema.Struct({ tool_plan: Schema.String }) }),
|
||||
}),
|
||||
Schema.Struct({
|
||||
type: Schema.Literals(["tool-call-start", "tool-call-delta"]),
|
||||
index: Schema.Number,
|
||||
delta: Schema.Struct({
|
||||
message: Schema.Struct({
|
||||
tool_calls: Schema.Struct({
|
||||
id: Schema.optional(Schema.String),
|
||||
function: Schema.Struct({ name: Schema.optional(Schema.String), arguments: Schema.optional(Schema.String) }),
|
||||
}),
|
||||
}),
|
||||
}),
|
||||
}),
|
||||
Schema.Struct({ type: Schema.Literal("tool-call-end"), index: Schema.Number }),
|
||||
Schema.Struct({
|
||||
type: Schema.Literal("message-end"),
|
||||
delta: Schema.Struct({ finish_reason: Schema.String, usage: Schema.optional(NativeUsage) }),
|
||||
}),
|
||||
// Citation output is outside this basic chat surface.
|
||||
Schema.Struct({ type: Schema.Literals(["citation-start", "citation-end"]) }),
|
||||
])
|
||||
type Event = typeof Event.Type
|
||||
type State = {
|
||||
readonly lifecycle: Lifecycle.State
|
||||
readonly tools: ToolStream.State<number>
|
||||
readonly finished: boolean
|
||||
}
|
||||
|
||||
const TOOL_CHOICE = { auto: undefined, none: "NONE", required: "REQUIRED", tool: "REQUIRED" } as const
|
||||
|
||||
const fromRequest = Effect.fn("CohereChat.fromRequest")(function* (request: LLMRequest) {
|
||||
const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
|
||||
const flattened = ProviderShared.flattenToolRequest(request)
|
||||
const messages: (typeof Message.Type)[] = request.system.length
|
||||
? [{ role: "system", content: ProviderShared.joinText(request.system) }]
|
||||
: []
|
||||
for (const message of flattened.request.messages) {
|
||||
if (message.role === "system") {
|
||||
messages.push({ role: "user", content: (yield* ProviderShared.wrappedSystemUpdate("Cohere Chat", message)).text })
|
||||
continue
|
||||
}
|
||||
if (message.role === "tool") {
|
||||
for (const part of message.content) {
|
||||
if (part.type !== "tool-result")
|
||||
return yield* ProviderShared.unsupportedContent("Cohere Chat", "tool", ["tool-result"])
|
||||
if (part.result.type === "content" && part.result.value.some((item) => item.type === "file"))
|
||||
return yield* ProviderShared.invalidRequest("Cohere Chat does not support file content in tool results")
|
||||
messages.push({ role: "tool", tool_call_id: part.id, content: ProviderShared.toolResultText(part) })
|
||||
}
|
||||
continue
|
||||
}
|
||||
const content: (typeof Content.Type)[] = []
|
||||
const calls: (typeof ToolCall.Type)[] = []
|
||||
const plans: string[] = []
|
||||
for (const part of message.content) {
|
||||
if (part.type === "text") {
|
||||
content.push({ type: "text", text: part.text })
|
||||
continue
|
||||
}
|
||||
if (message.role === "assistant" && part.type === "reasoning") {
|
||||
if (part.providerMetadata?.cohere?.toolPlan === true) plans.push(part.text)
|
||||
else content.push({ type: "thinking", thinking: part.text })
|
||||
continue
|
||||
}
|
||||
if (message.role === "assistant" && part.type === "tool-call") {
|
||||
const args = ProviderShared.encodeJson(part.input)
|
||||
calls.push({ id: part.id, type: "function", function: { name: part.name, arguments: args } })
|
||||
continue
|
||||
}
|
||||
if (message.role === "user" && part.type === "media" && part.media.mediaType.startsWith("image/")) {
|
||||
const url =
|
||||
ProviderShared.mediaUrl(part.media) ??
|
||||
(yield* ProviderShared.requireInlineMedia("Cohere Chat", part.media)).dataUrl
|
||||
content.push({ type: "image_url", image_url: { url } })
|
||||
continue
|
||||
}
|
||||
return yield* ProviderShared.unsupportedContent(
|
||||
"Cohere Chat",
|
||||
message.role,
|
||||
message.role === "user" ? ["text", "media"] : ["text", "reasoning", "tool-call"],
|
||||
)
|
||||
}
|
||||
messages.push({
|
||||
role: message.role,
|
||||
content: content.length ? content : undefined,
|
||||
tool_calls: calls.length ? calls : undefined,
|
||||
tool_plan: plans.length ? plans.join("") : undefined,
|
||||
})
|
||||
}
|
||||
const selected = request.toolChoice?.type === "tool" ? request.toolChoice.name : undefined
|
||||
const tools = selected === undefined ? flattened.tools : flattened.tools.filter((tool) => tool.name === selected)
|
||||
if (selected !== undefined && tools.length === 0)
|
||||
return yield* ProviderShared.invalidRequest("Cohere Chat tool choice must name an available tool")
|
||||
if (tools.some((tool) => tool.native !== undefined))
|
||||
return yield* ProviderShared.invalidRequest("Cohere Chat does not support provider-defined tools")
|
||||
return {
|
||||
model: request.model.id,
|
||||
messages,
|
||||
stream: true as const,
|
||||
tools: tools.length
|
||||
? tools.map((tool) => ({
|
||||
type: "function" as const,
|
||||
function: { name: tool.name, description: tool.description, parameters: tool.inputSchema },
|
||||
}))
|
||||
: undefined,
|
||||
tool_choice: TOOL_CHOICE[request.toolChoice?.type ?? "auto"],
|
||||
thinking: options.thinking && {
|
||||
type: options.thinking.type ?? "enabled",
|
||||
// Cohere rejects budgets above max_tokens; fitting also leaves room for the answer.
|
||||
token_budget:
|
||||
options.thinking.tokenBudget === undefined
|
||||
? undefined
|
||||
: ProviderShared.fitThinkingBudget(options.thinking.tokenBudget, request.generation?.maxTokens),
|
||||
},
|
||||
max_tokens: request.generation?.maxTokens,
|
||||
temperature: request.generation?.temperature,
|
||||
p: request.generation?.topP,
|
||||
k: request.generation?.topK,
|
||||
seed: request.generation?.seed,
|
||||
stop_sequences: request.generation?.stop,
|
||||
frequency_penalty: request.generation?.frequencyPenalty,
|
||||
presence_penalty: request.generation?.presencePenalty,
|
||||
}
|
||||
})
|
||||
|
||||
const finishReason = (raw: string): FinishReasonDetails => {
|
||||
switch (raw) {
|
||||
case "COMPLETE":
|
||||
case "STOP_SEQUENCE":
|
||||
return { normalized: "stop", raw }
|
||||
case "MAX_TOKENS":
|
||||
return { normalized: "length", raw }
|
||||
case "TOOL_CALL":
|
||||
return { normalized: "tool-calls", raw }
|
||||
case "ERROR":
|
||||
case "TIMEOUT":
|
||||
return { normalized: "error", raw }
|
||||
default:
|
||||
return { normalized: "unknown", raw }
|
||||
}
|
||||
}
|
||||
|
||||
const mapUsage = (usage: typeof NativeUsage.Type) =>
|
||||
new Usage({
|
||||
inputTokens: usage.tokens?.input_tokens,
|
||||
outputTokens: usage.tokens?.output_tokens,
|
||||
nonCachedInputTokens: ProviderShared.subtractTokens(usage.tokens?.input_tokens, usage.cached_tokens),
|
||||
cacheReadInputTokens: usage.cached_tokens,
|
||||
reasoningTokens: usage.tokens?.reasoning_tokens,
|
||||
totalTokens: ProviderShared.totalTokens(usage.tokens?.input_tokens, usage.tokens?.output_tokens, undefined),
|
||||
providerMetadata: { cohere: usage },
|
||||
})
|
||||
|
||||
// Lifecycle deltas open blocks on demand and ends are no-ops for closed blocks, so content-start needs no handling.
|
||||
const step = Effect.fn("CohereChat.step")(function* (state: State, event: Event) {
|
||||
const events: LLMEvent[] = []
|
||||
switch (event.type) {
|
||||
case "message-start":
|
||||
return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, events] as const
|
||||
case "content-delta": {
|
||||
const id = String(event.index)
|
||||
const content = event.delta.message.content
|
||||
const lifecycle =
|
||||
content.thinking !== undefined
|
||||
? Lifecycle.reasoningDelta(state.lifecycle, events, id, content.thinking)
|
||||
: Lifecycle.textDelta(state.lifecycle, events, id, content.text ?? "")
|
||||
return [{ ...state, lifecycle }, events] as const
|
||||
}
|
||||
case "content-end": {
|
||||
const id = String(event.index)
|
||||
const lifecycle = Lifecycle.textEnd(Lifecycle.reasoningEnd(state.lifecycle, events, id), events, id)
|
||||
return [{ ...state, lifecycle }, events] as const
|
||||
}
|
||||
case "tool-plan-delta": {
|
||||
const plan = event.delta.message.tool_plan
|
||||
const lifecycle = Lifecycle.reasoningDelta(state.lifecycle, events, "tool-plan", plan, {
|
||||
cohere: { toolPlan: true },
|
||||
})
|
||||
return [{ ...state, lifecycle }, events] as const
|
||||
}
|
||||
case "tool-call-start":
|
||||
case "tool-call-delta": {
|
||||
const call = event.delta.message.tool_calls
|
||||
const result = ToolStream.appendOrStart(
|
||||
ADAPTER,
|
||||
state.tools,
|
||||
event.index,
|
||||
{ id: call.id, name: call.function.name, text: call.function.arguments ?? "" },
|
||||
"Cohere tool call is missing id or name",
|
||||
)
|
||||
if (ToolStream.isError(result)) return yield* result
|
||||
return [{ ...state, tools: result.tools }, result.events] as const
|
||||
}
|
||||
case "tool-call-end": {
|
||||
const result = yield* ToolStream.finish(ADAPTER, state.tools, event.index)
|
||||
return [{ ...state, tools: result.tools }, result.events ?? []] as const
|
||||
}
|
||||
case "message-end": {
|
||||
const pending = yield* ToolStream.finishAll(ADAPTER, state.tools)
|
||||
events.push(...pending.events)
|
||||
const lifecycle = Lifecycle.finish(state.lifecycle, events, {
|
||||
reason: finishReason(event.delta.finish_reason),
|
||||
usage: event.delta.usage && mapUsage(event.delta.usage),
|
||||
})
|
||||
return [{ tools: pending.tools, lifecycle, finished: true }, events] as const
|
||||
}
|
||||
default:
|
||||
return [state, events] as const
|
||||
}
|
||||
})
|
||||
|
||||
export const protocol = Protocol.make({
|
||||
id: ADAPTER,
|
||||
body: { schema: Body, from: fromRequest },
|
||||
stream: {
|
||||
event: Protocol.jsonEvent(Event),
|
||||
initial: (): State => ({ lifecycle: Lifecycle.initial(), tools: ToolStream.empty(), finished: false }),
|
||||
step,
|
||||
terminal: (event) => event.type === "message-end",
|
||||
onHalt: (state) =>
|
||||
state.finished
|
||||
? Effect.succeed([])
|
||||
: Effect.fail(ProviderShared.eventError(ADAPTER, "Cohere stream ended without message-end")),
|
||||
},
|
||||
})
|
||||
export const route = Route.make({
|
||||
id: ADAPTER,
|
||||
provider: "cohere",
|
||||
providerMetadataKey: "cohere",
|
||||
protocol,
|
||||
endpoint: Endpoint.path("/chat", { baseURL: DEFAULT_BASE_URL }),
|
||||
framing: Framing.sse,
|
||||
})
|
||||
export * as CohereChat from "./cohere-chat.js"
|
||||
@@ -6,7 +6,6 @@ import { mergeJsonRecords, type OpenString } from "../schema/index.js"
|
||||
import { TranscriptionModel, TranscriptionResponse, type TranscriptionRequestFor } from "../transcription.js"
|
||||
import { ProviderShared } from "./shared.js"
|
||||
import { MediaInput } from "./utils/media-input.js"
|
||||
import { SpeakerTurns } from "./utils/speaker-turns.js"
|
||||
|
||||
const route = MediaProtocol.identity({ id: "deepgram-transcription", name: "Deepgram", provider: "deepgram" })
|
||||
export const DEFAULT_BASE_URL = "https://api.deepgram.com"
|
||||
@@ -116,6 +115,16 @@ const speaker = (value: number | undefined) => (value === undefined ? undefined
|
||||
|
||||
const wordText = (word: typeof Word.Type) => word.punctuated_word ?? word.word
|
||||
|
||||
// Utterances split on pauses, not speakers: the v2 diarizer labels a whole utterance with one speaker even when its
|
||||
// words change speaker, so segments split each utterance at speaker changes.
|
||||
const speakerTurns = (words: ReadonlyArray<typeof Word.Type>) =>
|
||||
words.reduce<Array<Array<typeof Word.Type>>>((turns, word) => {
|
||||
const last = turns.at(-1)
|
||||
if (last === undefined || last[0].speaker !== word.speaker) return [...turns, [word]]
|
||||
last.push(word)
|
||||
return turns
|
||||
}, [])
|
||||
|
||||
const decodeResponse = Effect.fn("DeepgramTranscription.decodeResponse")(function* (
|
||||
response: HttpClientResponse.HttpClientResponse,
|
||||
) {
|
||||
@@ -127,8 +136,6 @@ const decodeResponse = Effect.fn("DeepgramTranscription.decodeResponse")(functio
|
||||
const requestID = output.value.metadata?.request_id
|
||||
return new TranscriptionResponse({
|
||||
text: alternative.transcript,
|
||||
// Utterances split on pauses, not speakers: the v2 diarizer labels a whole utterance with one speaker even when
|
||||
// its words change speaker, so segments split each utterance at speaker changes.
|
||||
segments: output.value.results.utterances?.flatMap((utterance) =>
|
||||
utterance.words === undefined || utterance.words.length === 0
|
||||
? [
|
||||
@@ -139,7 +146,7 @@ const decodeResponse = Effect.fn("DeepgramTranscription.decodeResponse")(functio
|
||||
speaker: speaker(utterance.speaker),
|
||||
},
|
||||
]
|
||||
: SpeakerTurns.group(utterance.words, (word) => word.speaker).map((turn) => ({
|
||||
: speakerTurns(utterance.words).map((turn) => ({
|
||||
text: turn.map(wordText).join(" "),
|
||||
startSeconds: turn[0].start,
|
||||
endSeconds: turn[turn.length - 1].end,
|
||||
|
||||
@@ -1,211 +0,0 @@
|
||||
import { Effect, Schema } from "effect"
|
||||
import type { HttpClientResponse } from "effect/unstable/http"
|
||||
import { MediaProtocol } from "../route/media-protocol.js"
|
||||
import { MediaRoute } from "../route/media.js"
|
||||
import { mergeJsonRecords, type OpenString } from "../schema/index.js"
|
||||
import { TranscriptionModel, TranscriptionResponse, type TranscriptionRequestFor } from "../transcription.js"
|
||||
import { mediaTypeExtension } from "../utils/media-type.js"
|
||||
import { ProviderShared, optionalNull } from "./shared.js"
|
||||
import { MediaInput } from "./utils/media-input.js"
|
||||
import { SpeakerTurns } from "./utils/speaker-turns.js"
|
||||
|
||||
const route = MediaProtocol.identity({
|
||||
id: "elevenlabs-transcription",
|
||||
name: "ElevenLabs Transcription",
|
||||
provider: "elevenlabs",
|
||||
})
|
||||
export const DEFAULT_BASE_URL = "https://api.elevenlabs.io"
|
||||
export const PATH = "/v1/speech-to-text"
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// 1. Public model input
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
export type ElevenLabsTranscriptionOptions = {
|
||||
readonly tag_audio_events?: boolean
|
||||
readonly timestamps_granularity?: OpenString<"none" | "word" | "character">
|
||||
readonly diarization_threshold?: number
|
||||
readonly file_format?: OpenString<"pcm_s16le_16" | "other">
|
||||
readonly temperature?: number
|
||||
readonly seed?: number
|
||||
readonly keyterms?: ReadonlyArray<string>
|
||||
readonly no_verbatim?: boolean
|
||||
readonly detect_speaker_roles?: boolean
|
||||
readonly use_speaker_library?: boolean
|
||||
readonly entity_detection?: string | ReadonlyArray<string>
|
||||
readonly entity_redaction?: string | ReadonlyArray<string>
|
||||
readonly entity_redaction_mode?: OpenString<"redacted" | "entity_type" | "enumerated_entity_type">
|
||||
} & Record<string, unknown>
|
||||
|
||||
export type Request = TranscriptionRequestFor<ElevenLabsTranscriptionOptions>
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// 2. Response schema
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
/** `type` is `word`, `spacing` (the whitespace between words), or `audio_event` (`(laughter)`). */
|
||||
const Token = Schema.Struct({
|
||||
text: Schema.String,
|
||||
type: Schema.String,
|
||||
start: optionalNull(Schema.Number),
|
||||
end: optionalNull(Schema.Number),
|
||||
speaker_id: optionalNull(Schema.String),
|
||||
logprob: optionalNull(Schema.Number),
|
||||
})
|
||||
type Token = Schema.Schema.Type<typeof Token>
|
||||
|
||||
const Transcript = Schema.Struct({
|
||||
language_code: optionalNull(Schema.String),
|
||||
text: Schema.String,
|
||||
words: optionalNull(Schema.Array(Token)),
|
||||
transcription_id: optionalNull(Schema.String),
|
||||
audio_duration_secs: optionalNull(Schema.Number),
|
||||
})
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// 5. Request body construction
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
/** Speaker turns are the only segments ElevenLabs can produce, and `num_speakers` only applies to diarization. */
|
||||
const diarizes = (request: Request) =>
|
||||
request.diarize === true || request.timestamps === "segment" || request.speakers !== undefined
|
||||
|
||||
const RESERVED_FORM_FIELDS = new Set([
|
||||
"file",
|
||||
"cloud_storage_url",
|
||||
"source_url",
|
||||
"model_id",
|
||||
"language_code",
|
||||
"diarize",
|
||||
"num_speakers",
|
||||
])
|
||||
|
||||
const validate = (request: Request, overlay: Record<string, unknown>) => {
|
||||
// Webhook requests return 202 with no transcript; the result arrives at a configured webhook instead.
|
||||
if (overlay.webhook === true)
|
||||
return Effect.fail(route.unsupported("transcription.webhook", `${route.name} does not deliver to webhooks`))
|
||||
// Separate multichannel output replaces the transcript with one transcript per channel.
|
||||
if (overlay.use_multi_channel === true && overlay.multichannel_output_style !== "combined")
|
||||
return Effect.fail(
|
||||
route.unsupported(
|
||||
"transcription.multichannel",
|
||||
`${route.name} returns a single transcript; set multichannel_output_style: "combined" to merge channels`,
|
||||
),
|
||||
)
|
||||
if (overlay.timestamps_granularity === "none" && (request.timestamps === "word" || diarizes(request)))
|
||||
return Effect.fail(
|
||||
route.unsupported(
|
||||
"media.timestamps",
|
||||
`${route.name} cannot return word timestamps or speaker turns with timestamps_granularity: "none"`,
|
||||
),
|
||||
)
|
||||
return Effect.void
|
||||
}
|
||||
|
||||
const fromRequest = Effect.fn("ElevenLabsTranscription.fromRequest")(function* (request: Request) {
|
||||
const overlay = mergeJsonRecords(request.providerOptions, request.http?.body) ?? {}
|
||||
yield* validate(request, overlay)
|
||||
const form = new FormData()
|
||||
const url = ProviderShared.mediaUrl(request.audio)
|
||||
if (url === undefined) {
|
||||
const extension = mediaTypeExtension(request.audio.mediaType)
|
||||
const audio = yield* MediaInput.inlineBytes(route.id, request.audio)
|
||||
form.append(
|
||||
"file",
|
||||
MediaInput.blob(audio, request.audio.mediaType),
|
||||
extension === undefined ? "audio" : `audio.${extension}`,
|
||||
)
|
||||
}
|
||||
MediaInput.appendFields(
|
||||
form,
|
||||
{
|
||||
model_id: request.model.id,
|
||||
// `cloud_storage_url` is deprecated in favor of `source_url`, which accepts any hosted audio or video URL.
|
||||
source_url: url,
|
||||
language_code: request.language,
|
||||
diarize: diarizes(request) ? true : undefined,
|
||||
num_speakers: request.speakers,
|
||||
},
|
||||
{ overlay, reserved: RESERVED_FORM_FIELDS, repeatArrays: "key" },
|
||||
)
|
||||
return MediaProtocol.multipart(form)
|
||||
})
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// 6. Response decoding
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
const decodeTranscript = route.decodeJson(Transcript)
|
||||
|
||||
type TimedWord = Token & { readonly start: number; readonly end: number }
|
||||
|
||||
const isTimedWord = (token: Token): token is TimedWord =>
|
||||
token.type === "word" && typeof token.start === "number" && typeof token.end === "number"
|
||||
|
||||
/** Turn text keeps the provider's own spacing tokens, so languages written without spaces are not re-spaced. */
|
||||
const speakerTurns = (tokens: ReadonlyArray<Token>) =>
|
||||
SpeakerTurns.group(
|
||||
tokens.filter((token) => token.type === "word" || token.type === "spacing"),
|
||||
(token) => token.speaker_id,
|
||||
).flatMap((turn) => {
|
||||
const words = turn.filter(isTimedWord)
|
||||
if (words.length === 0) return []
|
||||
return [
|
||||
{
|
||||
text: turn
|
||||
.map((token) => token.text)
|
||||
.join("")
|
||||
.trim(),
|
||||
startSeconds: words[0].start,
|
||||
endSeconds: words[words.length - 1].end,
|
||||
speaker: turn[0].speaker_id ?? undefined,
|
||||
},
|
||||
]
|
||||
})
|
||||
|
||||
const decodeResponse = Effect.fn("ElevenLabsTranscription.decodeResponse")(function* (
|
||||
response: HttpClientResponse.HttpClientResponse,
|
||||
context: MediaProtocol.DecodeContext<Request>,
|
||||
) {
|
||||
const output = yield* decodeTranscript(response)
|
||||
const transcript = output.value
|
||||
const tokens = transcript.words ?? []
|
||||
const duration = transcript.audio_duration_secs ?? undefined
|
||||
const transcriptionID = transcript.transcription_id ?? undefined
|
||||
return new TranscriptionResponse({
|
||||
text: transcript.text,
|
||||
segments: diarizes(context.request) ? speakerTurns(tokens) : undefined,
|
||||
words: tokens.filter(isTimedWord).map((word) => ({
|
||||
text: word.text,
|
||||
startSeconds: word.start,
|
||||
endSeconds: word.end,
|
||||
speaker: word.speaker_id ?? undefined,
|
||||
confidence: typeof word.logprob === "number" ? Math.exp(word.logprob) : undefined,
|
||||
})),
|
||||
language: transcript.language_code?.toLowerCase(),
|
||||
durationSeconds: duration,
|
||||
usage: duration === undefined ? undefined : { type: "seconds", seconds: duration },
|
||||
providerMetadata: transcriptionID === undefined ? undefined : { elevenlabs: { transcriptionId: transcriptionID } },
|
||||
})
|
||||
})
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// 7. Protocol and route
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
export const protocol = MediaProtocol.inline<Request, TranscriptionResponse>(route, {
|
||||
unsupported: ["prompt"],
|
||||
body: { from: fromRequest },
|
||||
response: { decode: decodeResponse },
|
||||
})
|
||||
|
||||
export const model = (input: MediaRoute.ModelInput) =>
|
||||
TranscriptionModel.fromRoute<ElevenLabsTranscriptionOptions>(
|
||||
{ protocol, baseURL: DEFAULT_BASE_URL, path: PATH },
|
||||
input,
|
||||
)
|
||||
|
||||
export const ElevenLabsTranscription = {
|
||||
protocol,
|
||||
model,
|
||||
} as const
|
||||
@@ -36,9 +36,7 @@ const StartResponse = Schema.Struct({ name: Schema.String })
|
||||
|
||||
const Operation = Schema.Struct({
|
||||
done: Schema.optional(Schema.Boolean),
|
||||
error: Schema.optional(
|
||||
Schema.Struct({ code: Schema.optional(Schema.Number), message: Schema.optional(Schema.String) }),
|
||||
),
|
||||
error: Schema.optional(Schema.Struct({ message: Schema.optional(Schema.String) })),
|
||||
response: Schema.optional(
|
||||
Schema.Struct({
|
||||
generateVideoResponse: Schema.optional(
|
||||
@@ -62,16 +60,6 @@ const Operation = Schema.Struct({
|
||||
metadata: Schema.optional(Schema.Unknown),
|
||||
})
|
||||
|
||||
// Operation errors are `google.rpc.Status`; unlisted codes (INTERNAL, UNAVAILABLE, ...) are provider-side.
|
||||
const FAILURE = {
|
||||
3: "InvalidRequest", // INVALID_ARGUMENT
|
||||
7: "Authentication", // PERMISSION_DENIED
|
||||
8: "RateLimit", // RESOURCE_EXHAUSTED
|
||||
9: "InvalidRequest", // FAILED_PRECONDITION
|
||||
11: "InvalidRequest", // OUT_OF_RANGE
|
||||
16: "Authentication", // UNAUTHENTICATED
|
||||
} as const satisfies Record<number, MediaProtocol.Failure>
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// 5. Request body construction
|
||||
// ---------------------------------------------------------------------------
|
||||
@@ -166,7 +154,6 @@ const decodeResult = Effect.fn("GoogleVideo.decodeResult")(function* (
|
||||
return yield* output.ended(
|
||||
"failed",
|
||||
`${route.name} operation failed${operation.error?.message === undefined ? "" : `: ${operation.error.message}`}`,
|
||||
MediaProtocol.failure(FAILURE, operation.error?.code),
|
||||
)
|
||||
const generated = operation.response?.generateVideoResponse
|
||||
// Downloads require the same API key as the poll; the asset carries it transiently and follows the redirect.
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
export * as AnthropicMessages from "./anthropic-messages.js"
|
||||
export * as BedrockConverse from "./bedrock-converse.js"
|
||||
export * as CohereChat from "./cohere-chat.js"
|
||||
export * as Gemini from "./gemini.js"
|
||||
export * as MistralChat from "./mistral-chat.js"
|
||||
export * as OpenAIChat from "./openai-chat.js"
|
||||
|
||||
@@ -10,19 +10,14 @@ const WebSearch = Schema.Struct({
|
||||
name: Schema.Literal("web_search"),
|
||||
user_location: MetaResponses.WebSearch.fields.user_location,
|
||||
})
|
||||
const MetaCacheControl = Schema.Struct({
|
||||
type: Schema.tag("ephemeral"),
|
||||
ttl: Schema.optional(Schema.Literals(["5m", "1h"])),
|
||||
})
|
||||
const FunctionTool = Schema.Struct({
|
||||
name: Schema.String,
|
||||
description: Schema.String,
|
||||
input_schema: JsonObject,
|
||||
cache_control: Schema.optional(MetaCacheControl),
|
||||
})
|
||||
const Body = Schema.Struct({
|
||||
...AnthropicMessages.AnthropicMessagesBody.fields,
|
||||
tools: optionalArray(Schema.Union([FunctionTool, WebSearch])),
|
||||
tools: optionalArray(
|
||||
Schema.Union([
|
||||
Schema.Struct({ name: Schema.String, description: Schema.String, input_schema: JsonObject }),
|
||||
WebSearch,
|
||||
]),
|
||||
),
|
||||
})
|
||||
|
||||
const fromRequest = Effect.fn("MetaMessages.fromRequest")(function* (request: LLMRequest) {
|
||||
|
||||
@@ -426,7 +426,6 @@ interface ActiveContent {
|
||||
readonly type: "text" | "reasoning"
|
||||
readonly id: string
|
||||
readonly thinking?: MistralThinkingContent
|
||||
readonly thinkingUnits?: MistralThinkingUnit[]
|
||||
}
|
||||
|
||||
export interface ParserState {
|
||||
@@ -503,8 +502,8 @@ const closeActive = (state: ParserState, events: LLMEvent[]) => {
|
||||
state.lifecycle,
|
||||
events,
|
||||
state.active.id,
|
||||
thinkingMetadata({ ...state.active.thinking, type: "thinking", thinking: state.active.thinkingUnits ?? [] }),
|
||||
thinkingText(state.active.thinkingUnits ?? []),
|
||||
thinkingMetadata(state.active.thinking ?? { type: "thinking", thinking: [] }),
|
||||
thinkingText(state.active.thinking?.thinking ?? []),
|
||||
)
|
||||
return { ...state, lifecycle, active: undefined }
|
||||
}
|
||||
@@ -525,23 +524,20 @@ const appendThinking = (state: ParserState, events: LLMEvent[], part: MistralOut
|
||||
const current = state.active?.type === "reasoning" ? state : closeActive(state, events)
|
||||
const units = thinkingUnits(part.thinking)
|
||||
const active = current.active ?? { type: "reasoning" as const, id: `reasoning-${current.nextContent}` }
|
||||
// Keep native units out of streamed events until the block is complete.
|
||||
const accumulated = active.thinkingUnits ?? []
|
||||
accumulated.push(...units)
|
||||
const thinking = {
|
||||
...active.thinking,
|
||||
...part,
|
||||
type: "thinking" as const,
|
||||
thinking: [],
|
||||
thinking: [...(active.thinking?.thinking ?? []), ...units],
|
||||
}
|
||||
const text = thinkingText(units)
|
||||
return {
|
||||
...current,
|
||||
lifecycle:
|
||||
text.length > 0
|
||||
? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text)
|
||||
: Lifecycle.reasoningStart(current.lifecycle, events, active.id),
|
||||
active: { ...active, thinking, thinkingUnits: accumulated },
|
||||
? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text, thinkingMetadata(thinking))
|
||||
: Lifecycle.reasoningStart(current.lifecycle, events, active.id, thinkingMetadata(thinking)),
|
||||
active: { ...active, thinking },
|
||||
nextContent: current.active ? current.nextContent : current.nextContent + 1,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -20,6 +20,7 @@ import {
|
||||
type LLMRequest,
|
||||
type MediaPart,
|
||||
type ReasoningPart,
|
||||
type TextPart,
|
||||
type ToolCallPart,
|
||||
type ToolDefinition,
|
||||
} from "../schema/index.js"
|
||||
@@ -44,7 +45,6 @@ const OpenAIChatCacheControl = Schema.Struct({
|
||||
type: Schema.Literal("ephemeral"),
|
||||
ttl: Schema.optional(Schema.String),
|
||||
})
|
||||
type OpenAIChatCacheControl = Schema.Schema.Type<typeof OpenAIChatCacheControl>
|
||||
|
||||
const OpenAIChatFunction = Schema.Struct({
|
||||
name: Schema.String,
|
||||
@@ -64,14 +64,6 @@ const OpenAIChatTool = Schema.Struct({
|
||||
})
|
||||
type OpenAIChatTool = Schema.Schema.Type<typeof OpenAIChatTool>
|
||||
|
||||
// Gemini's OpenAI-compatible surface carries thought signatures in tool call
|
||||
// `extra_content` and rejects replayed parallel calls without them:
|
||||
// https://ai.google.dev/gemini-api/docs/thinking#signatures
|
||||
const ExtraContent = Schema.Struct({
|
||||
google: Schema.Struct({ thought_signature: Schema.String }),
|
||||
})
|
||||
const decodeExtraContent = (value: unknown) => Option.getOrUndefined(Schema.decodeUnknownOption(ExtraContent)(value))
|
||||
|
||||
const OpenAIChatAssistantToolCall = Schema.Struct({
|
||||
id: Schema.String,
|
||||
type: Schema.tag("function"),
|
||||
@@ -79,7 +71,6 @@ const OpenAIChatAssistantToolCall = Schema.Struct({
|
||||
name: Schema.String,
|
||||
arguments: Schema.String,
|
||||
}),
|
||||
extra_content: Schema.optional(ExtraContent),
|
||||
})
|
||||
type OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>
|
||||
|
||||
@@ -121,15 +112,18 @@ const decodeReasoningDetail = Schema.decodeUnknownOption(ReasoningDetail)
|
||||
const knownReasoningDetails = (details: ReadonlyArray<unknown>) =>
|
||||
details.flatMap((detail) => Option.toArray(decodeReasoningDetail(detail)))
|
||||
|
||||
const OpenAIChatTextContent = Schema.Struct({
|
||||
type: Schema.Literal("text"),
|
||||
text: Schema.String,
|
||||
cache_control: Schema.optional(OpenAIChatCacheControl),
|
||||
})
|
||||
type OpenAIChatTextContent = Schema.Schema.Type<typeof OpenAIChatTextContent>
|
||||
// Intentionally omit Gemini's provider-specific `extra_content.google.thought_signature`
|
||||
// extension until direct Google OpenAI-compatible routing is supported here:
|
||||
// https://github.com/vercel/ai/issues/11590
|
||||
// https://github.com/vercel/ai/pull/11745
|
||||
// https://ai.google.dev/gemini-api/docs/thought-signatures#openai
|
||||
|
||||
const OpenAIChatUserContent = Schema.Union([
|
||||
OpenAIChatTextContent,
|
||||
Schema.Struct({
|
||||
type: Schema.Literal("text"),
|
||||
text: Schema.String,
|
||||
cache_control: Schema.optional(OpenAIChatCacheControl),
|
||||
}),
|
||||
Schema.Struct({
|
||||
type: Schema.Literal("image_url"),
|
||||
image_url: Schema.Struct({ url: Schema.String }),
|
||||
@@ -139,7 +133,6 @@ const OpenAIChatUserContent = Schema.Union([
|
||||
file: Schema.Struct({ filename: Schema.String, file_data: Schema.String }),
|
||||
}),
|
||||
])
|
||||
type OpenAIChatUserContent = Schema.Schema.Type<typeof OpenAIChatUserContent>
|
||||
|
||||
const OpenAIChatMessage = Schema.Union([
|
||||
Schema.Struct({
|
||||
@@ -153,19 +146,21 @@ const OpenAIChatMessage = Schema.Union([
|
||||
Schema.StructWithRest(
|
||||
Schema.Struct({
|
||||
role: Schema.Literal("assistant"),
|
||||
content: Schema.NullOr(Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)])),
|
||||
content: Schema.NullOr(Schema.String),
|
||||
tool_calls: optionalArray(OpenAIChatAssistantToolCall),
|
||||
reasoning_content: Schema.optional(Schema.String),
|
||||
reasoning: Schema.optional(Schema.String),
|
||||
reasoning_text: Schema.optional(Schema.String),
|
||||
reasoning_details: Schema.optional(Schema.Unknown),
|
||||
cache_control: Schema.optional(OpenAIChatCacheControl),
|
||||
}),
|
||||
[Schema.Record(Schema.String, Schema.Unknown)],
|
||||
),
|
||||
Schema.Struct({
|
||||
role: Schema.Literal("tool"),
|
||||
tool_call_id: Schema.String,
|
||||
content: Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)]),
|
||||
content: Schema.String,
|
||||
cache_control: Schema.optional(OpenAIChatCacheControl),
|
||||
}),
|
||||
]).pipe(Schema.toTaggedUnion("role"))
|
||||
type OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>
|
||||
@@ -212,11 +207,9 @@ const OpenAIChatUsage = Schema.StructWithRest(
|
||||
prompt_tokens: optionalNull(Schema.Number),
|
||||
completion_tokens: optionalNull(Schema.Number),
|
||||
total_tokens: optionalNull(Schema.Number),
|
||||
// Provider-specific cache accounting fields.
|
||||
// Zai reports cache hits as top-level `cached_tokens`; DeepSeek uses `prompt_cache_hit_tokens`.
|
||||
cached_tokens: optionalNull(Schema.Number),
|
||||
prompt_cache_hit_tokens: optionalNull(Schema.Number),
|
||||
cache_read_input_tokens: optionalNull(Schema.Number),
|
||||
cache_created_input_tokens: optionalNull(Schema.Number),
|
||||
prompt_tokens_details: optionalNull(
|
||||
Schema.StructWithRest(
|
||||
Schema.Struct({
|
||||
@@ -249,7 +242,6 @@ const OpenAIChatToolCallDelta = Schema.Struct({
|
||||
index: optionalNull(Schema.Number),
|
||||
id: optionalNull(Schema.String),
|
||||
function: optionalNull(OpenAIChatToolCallDeltaFunction),
|
||||
extra_content: optionalNull(Schema.Unknown),
|
||||
})
|
||||
type OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>
|
||||
|
||||
@@ -302,7 +294,6 @@ interface PendingToolDelta {
|
||||
readonly id?: string
|
||||
readonly name?: string
|
||||
readonly input: string
|
||||
readonly extraContent?: Schema.Schema.Type<typeof ExtraContent>
|
||||
}
|
||||
|
||||
export interface ParserState {
|
||||
@@ -331,7 +322,9 @@ export interface ParserState {
|
||||
// OpenAI Chat wire format. Keep provider quirks here instead of leaking native
|
||||
// fields into `LLMRequest`.
|
||||
interface LoweringOptions {
|
||||
readonly cacheControl?: (cache: CacheHint | undefined) => OpenAIChatCacheControl | undefined
|
||||
readonly cacheControl?: (
|
||||
cache: CacheHint | undefined,
|
||||
) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined
|
||||
readonly toolCallID?: (id: string) => string
|
||||
}
|
||||
|
||||
@@ -354,17 +347,13 @@ const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
|
||||
tool: (name) => ({ type: "function" as const, function: { name } }),
|
||||
})
|
||||
|
||||
const lowerToolCall = (
|
||||
part: ToolCallPart,
|
||||
options: LoweringOptions & { readonly providerMetadataKey: string },
|
||||
): OpenAIChatAssistantToolCall => ({
|
||||
const lowerToolCall = (part: ToolCallPart, options: LoweringOptions): OpenAIChatAssistantToolCall => ({
|
||||
id: options.toolCallID?.(part.id) ?? part.id,
|
||||
type: "function",
|
||||
function: {
|
||||
name: part.name,
|
||||
arguments: ProviderShared.encodeJson(part.input === undefined ? {} : part.input),
|
||||
},
|
||||
extra_content: decodeExtraContent(part.providerMetadata?.[options.providerMetadataKey]?.extraContent),
|
||||
})
|
||||
|
||||
const lowerMedia = Effect.fn("OpenAIChat.lowerMedia")(function* (part: MediaPart) {
|
||||
@@ -417,7 +406,7 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
|
||||
message: OpenAIChatRequestMessage,
|
||||
options: LoweringOptions,
|
||||
) {
|
||||
const content: OpenAIChatUserContent[] = []
|
||||
const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
|
||||
for (const part of message.content) {
|
||||
if (part.type === "text") {
|
||||
content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
|
||||
@@ -443,14 +432,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
|
||||
requireReasoning: boolean,
|
||||
options: LoweringOptions & { readonly providerMetadataKey: string },
|
||||
) {
|
||||
const content: OpenAIChatTextContent[] = []
|
||||
const content: TextPart[] = []
|
||||
const reasoning: ReasoningPart[] = []
|
||||
const toolCalls: OpenAIChatAssistantToolCall[] = []
|
||||
for (const part of message.content) {
|
||||
if (!ProviderShared.supportsContent(part, ["text", "reasoning", "tool-call"]))
|
||||
return yield* ProviderShared.unsupportedContent("OpenAI Chat", "assistant", ["text", "reasoning", "tool-call"])
|
||||
if (part.type === "text") {
|
||||
content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
|
||||
content.push(part)
|
||||
continue
|
||||
}
|
||||
if (part.type === "reasoning") {
|
||||
@@ -488,15 +477,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
|
||||
if (reasoning.length === 0) return nativeReasoning ?? (requireReasoning ? "" : undefined)
|
||||
return text
|
||||
})()
|
||||
const cached = message.content.findLast((part) => "cache" in part && part.cache !== undefined)
|
||||
const cacheControl = options.cacheControl?.(cached && "cache" in cached ? cached.cache : undefined)
|
||||
const result = {
|
||||
role: "assistant" as const,
|
||||
content: (() => {
|
||||
if (content.some((part) => part.cache_control !== undefined)) return content
|
||||
if (content.length === 0 && toolCalls.length > 0) return null
|
||||
return content.map((part) => part.text).join("")
|
||||
})(),
|
||||
content: content.length > 0 ? content.map((part) => part.text).join("") : toolCalls.length > 0 ? null : "",
|
||||
...(toolCalls.length > 0 ? { tool_calls: toolCalls } : {}),
|
||||
...(details !== undefined ? { reasoning_details: details } : {}),
|
||||
...(cacheControl !== undefined ? { cache_control: cacheControl } : {}),
|
||||
}
|
||||
if (field === undefined || reasoningText === undefined) return result
|
||||
return { ...result, [field]: reasoningText }
|
||||
@@ -507,38 +495,33 @@ const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
|
||||
options: LoweringOptions,
|
||||
) {
|
||||
const messages: OpenAIChatMessage[] = []
|
||||
const attachments: OpenAIChatUserContent[] = []
|
||||
const attachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
|
||||
for (const part of message.content) {
|
||||
if (!ProviderShared.supportsContent(part, ["tool-result"]))
|
||||
return yield* ProviderShared.unsupportedContent("OpenAI Chat", "tool", ["tool-result"])
|
||||
if (part.result.type !== "content") {
|
||||
messages.push(
|
||||
toolMessage(
|
||||
options.toolCallID?.(part.id) ?? part.id,
|
||||
ProviderShared.toolResultText(part),
|
||||
options.cacheControl?.(part.cache),
|
||||
),
|
||||
)
|
||||
messages.push({
|
||||
role: "tool",
|
||||
tool_call_id: options.toolCallID?.(part.id) ?? part.id,
|
||||
content: ProviderShared.toolResultText(part),
|
||||
cache_control: options.cacheControl?.(part.cache),
|
||||
})
|
||||
continue
|
||||
}
|
||||
const content: ReadonlyArray<Tool.Content> = part.result.value
|
||||
const text = content.filter((item) => item.type === "text").map((item) => item.text)
|
||||
messages.push(
|
||||
toolMessage(options.toolCallID?.(part.id) ?? part.id, text.join("\n"), options.cacheControl?.(part.cache)),
|
||||
)
|
||||
messages.push({
|
||||
role: "tool",
|
||||
tool_call_id: options.toolCallID?.(part.id) ?? part.id,
|
||||
content: text.join("\n"),
|
||||
cache_control: options.cacheControl?.(part.cache),
|
||||
})
|
||||
const files = content.filter((item) => item.type === "file")
|
||||
attachments.push(...(yield* Effect.forEach(files, (item) => lowerMedia(ProviderShared.toolFileMedia(item)))))
|
||||
}
|
||||
return { messages, attachments }
|
||||
})
|
||||
|
||||
// Chat cache breakpoints belong on text content parts, not on the message itself.
|
||||
const toolMessage = (toolCallID: string, text: string, cacheControl: OpenAIChatCacheControl | undefined) => ({
|
||||
role: "tool" as const,
|
||||
tool_call_id: toolCallID,
|
||||
content: cacheControl === undefined ? text : [{ type: "text" as const, text, cache_control: cacheControl }],
|
||||
})
|
||||
|
||||
const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
|
||||
message: OpenAIChatRequestMessage,
|
||||
reasoningField: string | undefined,
|
||||
@@ -597,7 +580,7 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
|
||||
if (requireAssistantAfterTool && messages.at(-1)?.role === "tool")
|
||||
messages.push({ role: "assistant", content: "Done." })
|
||||
}
|
||||
const pendingAttachments: OpenAIChatUserContent[] = []
|
||||
const pendingAttachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
|
||||
const flushAttachments = () => {
|
||||
if (pendingAttachments.length === 0) return
|
||||
bridgeTools()
|
||||
@@ -607,25 +590,24 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
|
||||
if (message.role === "user") bridgeTools()
|
||||
if (message.role === "system") {
|
||||
const part = yield* ProviderShared.wrappedSystemUpdate("OpenAI Chat", message)
|
||||
const cacheControl = options.cacheControl?.(part.cache)
|
||||
if (pendingAttachments.length > 0) {
|
||||
messages.push({
|
||||
role: "user",
|
||||
content: [
|
||||
...pendingAttachments.splice(0),
|
||||
{ type: "text", text: part.text, cache_control: cacheControl },
|
||||
{ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
|
||||
],
|
||||
})
|
||||
continue
|
||||
}
|
||||
const previous = messages.at(-1)
|
||||
if (previous?.role === "user" && typeof previous.content === "string")
|
||||
messages[messages.length - 1] = cacheControl
|
||||
messages[messages.length - 1] = options.cacheControl?.(part.cache)
|
||||
? {
|
||||
role: "user",
|
||||
content: [
|
||||
{ type: "text", text: previous.content },
|
||||
{ type: "text", text: part.text, cache_control: cacheControl },
|
||||
{ type: "text", text: part.text, cache_control: options.cacheControl(part.cache) },
|
||||
],
|
||||
}
|
||||
: { role: "user", content: `${previous.content}\n${part.text}` }
|
||||
@@ -634,15 +616,15 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
|
||||
role: "user",
|
||||
content: [
|
||||
...previous.content,
|
||||
{ type: "text", text: part.text, cache_control: cacheControl },
|
||||
{ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
|
||||
],
|
||||
}
|
||||
else
|
||||
messages.push(
|
||||
cacheControl
|
||||
options.cacheControl?.(part.cache)
|
||||
? {
|
||||
role: "user",
|
||||
content: [{ type: "text", text: part.text, cache_control: cacheControl }],
|
||||
content: [{ type: "text", text: part.text, cache_control: options.cacheControl(part.cache) }],
|
||||
}
|
||||
: { role: "user", content: part.text },
|
||||
)
|
||||
@@ -739,9 +721,7 @@ const detectSupportsStore = (provider: string, baseURL: string | undefined): boo
|
||||
p === "vercel-ai-gateway" || url.includes("ai-gateway.vercel.sh") || url.includes("vercel.sh")
|
||||
const isAntLing = p === "ant-ling" || url.includes("api.ant-ling.com")
|
||||
const isOpencode = p === "opencode" || url.includes("opencode.ai")
|
||||
const isGemini = url.includes("generativelanguage.googleapis.com")
|
||||
const isNonStandard =
|
||||
isGemini ||
|
||||
isNvidia ||
|
||||
isCerebras ||
|
||||
isXai ||
|
||||
@@ -905,19 +885,16 @@ const mapFinishReason = Effect.fn("OpenAIChat.mapFinishReason")(function* (event
|
||||
// satisfied on both sides.
|
||||
// Providers differ on cache-hit location: OpenAI uses
|
||||
// `prompt_tokens_details.cached_tokens`, DeepSeek uses
|
||||
// `prompt_cache_hit_tokens`, Zai uses top-level `cached_tokens`, and
|
||||
// DigitalOcean uses top-level `cache_read_input_tokens` / `cache_created_input_tokens`.
|
||||
// `prompt_cache_hit_tokens`, and Zai uses top-level `cached_tokens`.
|
||||
const mapUsage = (usage: OpenAIChatEvent["usage"], providerMetadataKey: string): Usage | undefined => {
|
||||
if (!usage) return undefined
|
||||
const input = usage.prompt_tokens ?? undefined
|
||||
const output = usage.completion_tokens ?? undefined
|
||||
const cached =
|
||||
usage.prompt_tokens_details?.cached_tokens ??
|
||||
usage.prompt_cache_hit_tokens ??
|
||||
usage.cached_tokens ??
|
||||
usage.cache_read_input_tokens ??
|
||||
undefined
|
||||
const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? usage.cache_created_input_tokens ?? undefined
|
||||
const cached = (usage.prompt_tokens_details?.cached_tokens ??
|
||||
(usage as { prompt_cache_hit_tokens?: number | null }).prompt_cache_hit_tokens ??
|
||||
(usage as { cached_tokens?: number | null }).cached_tokens ??
|
||||
undefined) as number | undefined
|
||||
const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined
|
||||
const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined
|
||||
const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))
|
||||
return new Usage({
|
||||
@@ -1137,13 +1114,12 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
|
||||
const id = current?.id ?? pending?.id ?? (tool.id || undefined)
|
||||
const name = current?.name ?? pending?.name ?? (tool.function?.name || undefined)
|
||||
const text = `${pending?.input ?? ""}${tool.function?.arguments ?? ""}`
|
||||
const extraContent = pending?.extraContent ?? decodeExtraContent(tool.extra_content)
|
||||
latestToolIndex = index
|
||||
nextToolIndex = Math.max(nextToolIndex, index + 1)
|
||||
if (!current && (!id || !name)) {
|
||||
pendingTools = {
|
||||
...pendingTools,
|
||||
[index]: { id: id || undefined, name: name || undefined, input: text, extraContent },
|
||||
[index]: { id: id || undefined, name: name || undefined, input: text },
|
||||
}
|
||||
continue
|
||||
}
|
||||
@@ -1155,12 +1131,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
|
||||
ADAPTER,
|
||||
tools,
|
||||
index,
|
||||
{
|
||||
id: id || undefined,
|
||||
name: name || undefined,
|
||||
text,
|
||||
providerMetadata: extraContent && { [state.providerMetadataKey]: { extraContent } },
|
||||
},
|
||||
{ id: id || undefined, name: name || undefined, text },
|
||||
"OpenAI Chat tool call delta is missing id or name",
|
||||
)
|
||||
if (ToolStream.isError(result))
|
||||
|
||||
@@ -143,15 +143,14 @@ const adapter = {
|
||||
restoreHostedToolItem: (item: unknown) => (Schema.is(OpenAIResponsesHostedToolItem)(item) ? item : undefined),
|
||||
} satisfies OpenResponses.ProviderAdapter
|
||||
|
||||
// GPT-6 and later default to `configuration_update` support, except in `reasoning.mode: "pro"`
|
||||
// or alongside automatic `context_management` compaction.
|
||||
// GPT-6 Astra, Sol, and Luna accept `configuration_update` only in standard mode (not `reasoning.mode: "pro"` or
|
||||
// `-pro` slugs), and never alongside automatic `context_management` compaction.
|
||||
const supportsEffortUpdates = (request: LLMRequest) => {
|
||||
if (request.providerOptions?.contextManagement !== undefined) return false
|
||||
if (Schema.is(Schema.Struct({ mode: Schema.Literal("pro") }))(request.http?.body?.reasoning)) return false
|
||||
const override = request.model.compatibility?.supportsEffortUpdates
|
||||
if (override !== undefined) return override
|
||||
const match = /(?:^|\/)gpt-(\d+)(?:\.\d+)?(?:-|$)/i.exec(request.model.id)
|
||||
return match !== null && Number(match[1]) >= 6
|
||||
return /(?:^|\/)gpt-6-(?:astra|sol|luna)$/i.test(request.model.id)
|
||||
}
|
||||
|
||||
const nativeImageToolInput = (tool: ToolDefinition) => {
|
||||
|
||||
@@ -193,7 +193,7 @@ const fromRequest = Effect.fn("OpenAITranscription.fromRequest")(function* (requ
|
||||
{
|
||||
overlay: mergeJsonRecords(request.providerOptions, request.http?.body),
|
||||
reserved: RESERVED_FORM_FIELDS,
|
||||
repeatArrays: "key[]",
|
||||
repeatArrays: true,
|
||||
},
|
||||
)
|
||||
return MediaProtocol.multipart(form)
|
||||
|
||||
@@ -137,12 +137,7 @@ const decodeResult = Effect.fn("RunwayVideo.decodeResult")(function* (
|
||||
const message = `${route.name} task failed${code === undefined ? "" : ` (${code})`}${task.failure ? `: ${task.failure}` : ""}`
|
||||
// Runway failure codes are dotted paths; every moderation outcome carries a SAFETY segment.
|
||||
if (code !== undefined && /(^|\.)SAFETY(\.|$)/.test(code)) return yield* output.contentPolicy(message)
|
||||
// ASSET.INVALID rejects the caller's input media; Runway documents it as not retryable.
|
||||
return yield* output.ended(
|
||||
"failed",
|
||||
message,
|
||||
code !== undefined && /^ASSET\.INVALID(\.|$)/.test(code) ? "InvalidRequest" : "ProviderInternal",
|
||||
)
|
||||
return yield* output.ended("failed", message)
|
||||
}
|
||||
if (status === "cancelled")
|
||||
return yield* output.ended("cancelled", `${route.name} task ${context.token.taskID} was cancelled`)
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
// Shared counter and TTL mapping for provider cache-marker lowering.
|
||||
import type { CacheHint } from "../../schema/index.js"
|
||||
|
||||
export interface Breakpoints {
|
||||
remaining: number
|
||||
@@ -12,12 +11,3 @@ export const newBreakpoints = (cap: number): Breakpoints => ({ remaining: cap, d
|
||||
// requests omit the wire TTL and use the provider default.
|
||||
export const ttlBucket = (ttlSeconds: number | undefined): "1h" | undefined =>
|
||||
ttlSeconds !== undefined && ttlSeconds >= 3600 ? "1h" : undefined
|
||||
|
||||
export const cacheControl = () => {
|
||||
const breakpoints = newBreakpoints(4)
|
||||
return (cache: CacheHint | undefined) => {
|
||||
if (cache === undefined || breakpoints.remaining === 0) return undefined
|
||||
breakpoints.remaining -= 1
|
||||
return { type: "ephemeral" as const, ttl: ttlBucket(cache.ttlSeconds) }
|
||||
}
|
||||
}
|
||||
@@ -1,19 +0,0 @@
|
||||
import type { LLMRequest } from "../../schema/index.js"
|
||||
|
||||
export const THINKING_BINDING_BETA = "thinking-binding-controls-2026-08-01"
|
||||
|
||||
// Accept gateway namespaces and Vertex suffixes without treating a snapshot date as a minor version.
|
||||
export const claudeVersion = (id: string) => {
|
||||
const match = /(?:^|[./])claude-(?<family>[a-z]+)-(?<major>\d+)(?:[.-](?<minor>\d{1,2}))?(?:$|[-:@])/.exec(
|
||||
id.toLowerCase(),
|
||||
)?.groups
|
||||
if (!match) return undefined
|
||||
return { family: match.family, major: Number(match.major), minor: Number(match.minor ?? 0) }
|
||||
}
|
||||
|
||||
export const supportsThinkingBlockBinding = (model: LLMRequest["model"]) => {
|
||||
const override = model.compatibility?.supportsThinkingBlockBinding
|
||||
if (override !== undefined) return override
|
||||
const version = claudeVersion(model.id)
|
||||
return version !== undefined && (version.major > 5 || (version.major === 5 && version.minor >= 1))
|
||||
}
|
||||
@@ -71,9 +71,8 @@ export const imageOutput = (
|
||||
}
|
||||
|
||||
/**
|
||||
* Append multipart text fields: strings as-is, other values as JSON, or scalar arrays as one part per item with
|
||||
* `repeatArrays`, named `key[]` or `key`. `overlay` keys in `reserved` are dropped so `http.body` cannot replace
|
||||
* route-owned fields.
|
||||
* Append multipart text fields: strings as-is, other values as JSON, or arrays as repeated `key[]` parts with
|
||||
* `repeatArrays`. `overlay` keys in `reserved` are dropped so `http.body` cannot replace route-owned fields.
|
||||
*/
|
||||
export const appendFields = (
|
||||
form: FormData,
|
||||
@@ -81,13 +80,13 @@ export const appendFields = (
|
||||
options: {
|
||||
readonly overlay?: Record<string, unknown>
|
||||
readonly reserved: ReadonlySet<string>
|
||||
readonly repeatArrays?: "key[]" | "key"
|
||||
readonly repeatArrays?: true
|
||||
},
|
||||
) => {
|
||||
const overlay = Object.entries(options.overlay ?? {}).filter(([key]) => !options.reserved.has(key))
|
||||
Object.entries(mergeJsonRecords(fields, Object.fromEntries(overlay)) ?? {}).forEach(([key, value]) => {
|
||||
if (Array.isArray(value) && value.every(isScalar) && options.repeatArrays !== undefined)
|
||||
return value.forEach((item) => form.append(options.repeatArrays === "key[]" ? `${key}[]` : key, String(item)))
|
||||
if (Array.isArray(value) && options.repeatArrays)
|
||||
return value.forEach((item) => form.append(`${key}[]`, String(item)))
|
||||
form.append(key, typeof value === "string" ? value : encodeJson(value))
|
||||
})
|
||||
}
|
||||
|
||||
@@ -1,10 +0,0 @@
|
||||
/** Split an ordered token list into runs of consecutive tokens with the same speaker. */
|
||||
export const group = <Item>(items: ReadonlyArray<Item>, speaker: (item: Item) => unknown) =>
|
||||
items.reduce<Array<Array<Item>>>((turns, item) => {
|
||||
const last = turns.at(-1)
|
||||
if (last === undefined || speaker(last[0]) !== speaker(item)) return [...turns, [item]]
|
||||
last.push(item)
|
||||
return turns
|
||||
}, [])
|
||||
|
||||
export * as SpeakerTurns from "./speaker-turns.js"
|
||||
@@ -147,12 +147,7 @@ export const appendOrStart = <K extends StreamKey>(
|
||||
route: string,
|
||||
tools: State<K>,
|
||||
key: K,
|
||||
delta: {
|
||||
readonly id?: string
|
||||
readonly name?: string
|
||||
readonly text: string
|
||||
readonly providerMetadata?: ProviderMetadata
|
||||
},
|
||||
delta: { readonly id?: string; readonly name?: string; readonly text: string },
|
||||
missingToolMessage: string,
|
||||
): AppendOutcome<K> | AIError => {
|
||||
const current = tools[key]
|
||||
@@ -166,7 +161,7 @@ export const appendOrStart = <K extends StreamKey>(
|
||||
namespace: current?.namespace,
|
||||
input: `${current?.input ?? ""}${delta.text}`,
|
||||
providerExecuted: current?.providerExecuted,
|
||||
providerMetadata: current?.providerMetadata ?? delta.providerMetadata,
|
||||
providerMetadata: current?.providerMetadata,
|
||||
}
|
||||
if (current && delta.text.length === 0 && current.id === id && current.name === name)
|
||||
return { tools, tool: current, events: [] }
|
||||
|
||||
@@ -65,13 +65,6 @@ const STATUS = {
|
||||
expired: "expired",
|
||||
} as const satisfies Record<string, Status>
|
||||
|
||||
// Documented video error codes; `service_unavailable`, `internal_error`, and unknown codes are provider-side.
|
||||
const FAILURE = {
|
||||
invalid_argument: "InvalidRequest",
|
||||
failed_precondition: "InvalidRequest",
|
||||
permission_denied: "Authentication",
|
||||
} as const satisfies Record<string, MediaProtocol.Failure>
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// 5. Request body construction
|
||||
// ---------------------------------------------------------------------------
|
||||
@@ -150,7 +143,6 @@ const decodeResult = Effect.fn("XAIVideo.decodeResult")(function* (
|
||||
return yield* output.ended(
|
||||
"failed",
|
||||
`${route.name} generation failed${code === undefined ? "" : ` (${code})`}${message === undefined ? "" : `: ${message}`}`,
|
||||
MediaProtocol.failure(FAILURE, code),
|
||||
)
|
||||
}
|
||||
if (status !== "completed")
|
||||
|
||||
@@ -41,20 +41,16 @@ const Body = Schema.Struct({
|
||||
user_id: Options.fields.userID,
|
||||
})
|
||||
|
||||
// Tool streaming was introduced in GLM-4.6; later versions inherit support.
|
||||
const supportsToolStreaming = (modelID: string) => {
|
||||
const match = /(?:^|\/)glm-(\d+)(?:\.(\d+))?(?:-|$)/i.exec(modelID)
|
||||
return match !== null && (Number(match[1]) > 4 || (Number(match[1]) === 4 && Number(match[2] ?? 0) >= 6))
|
||||
}
|
||||
|
||||
const fromRequest = Effect.fn("ZAIChat.fromRequest")(function* (request: LLMRequest) {
|
||||
const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
|
||||
const body = yield* OpenAIChat.protocol.body.from(request)
|
||||
return {
|
||||
...body,
|
||||
thinking: options.thinking,
|
||||
// Tool streaming was introduced in GLM-4.6; older models must not receive the opt-in.
|
||||
tool_stream:
|
||||
options.toolStream ?? (body.tools?.length && supportsToolStreaming(request.model.id) ? true : undefined),
|
||||
options.toolStream ??
|
||||
(body.tools?.length && /^glm-(?:4\.[67]|5(?:[.-]|$))/i.test(request.model.id) ? true : undefined),
|
||||
do_sample: options.doSample,
|
||||
response_format: options.responseFormat,
|
||||
request_id: options.requestID,
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { Option, Schema, SchemaGetter } from "effect"
|
||||
import { Option, Schema } from "effect"
|
||||
import {
|
||||
AuthenticationError,
|
||||
ContentPolicyError,
|
||||
@@ -16,34 +16,24 @@ import {
|
||||
const patterns = [
|
||||
/prompt is too long/i,
|
||||
/input is too long for requested model/i,
|
||||
// Cloudflare Workers AI reports this as HTTP 413.
|
||||
/exceeded this model context window limit/i,
|
||||
/exceeds the context window/i,
|
||||
/exceeds (?:the )?(?:model'?s )?maximum context length(?: of [\d,]+ tokens?|\s*\([\d,]+\))/i,
|
||||
/input token count.*exceeds the maximum/i,
|
||||
// Amazon Nova on Bedrock reports this as a mid-stream validationException.
|
||||
/number of input tokens exceeds maximum length/i,
|
||||
/tokens in request more than max tokens allowed/i,
|
||||
/maximum prompt length is \d+/i,
|
||||
/reduce the length of the messages/i,
|
||||
// DeepInfra
|
||||
/requested input length \d+ exceeds maximum input length/i,
|
||||
/maximum context length is \d+ tokens/i,
|
||||
/exceeds (?:the )?maximum allowed input length of [\d,]+ tokens?/i,
|
||||
// Novita omits the token counts.
|
||||
/input(?: \(\d+ tokens\))? is longer than the model'?s context length/i,
|
||||
/input \(\d+ tokens\) is longer than the model'?s context length \(\d+ tokens\)/i,
|
||||
/exceeds the limit of \d+/i,
|
||||
/exceeds the available context size/i,
|
||||
/greater than the context length/i,
|
||||
// Hugging Face Text Generation Inference, e.g. Together
|
||||
/`inputs` tokens \+ `max_new_tokens` must be <= \d+/i,
|
||||
/context window exceeds limit/i,
|
||||
/exceeded model token limit/i,
|
||||
/context[_ ]length[_ ]exceeded/i,
|
||||
/context length is only \d+ tokens/i,
|
||||
/input length.*exceeds.*context length/i,
|
||||
// Z.ai code 1261 arrives as `Prompt too long` or `Prompt 超长`.
|
||||
/prompt (?:too long|超长)/i,
|
||||
/prompt too long; exceeded (?:max )?context length/i,
|
||||
/too large for model with \d+ maximum context length/i,
|
||||
/prompt has [\d,]+ tokens?, but the configured context size is [\d,]+ tokens?/i,
|
||||
/model_context_window_exceeded/i,
|
||||
@@ -55,13 +45,7 @@ const patterns = [
|
||||
|
||||
const payloadPatterns = [/request entity too large/i, /payload too large/i, /request too large/i]
|
||||
|
||||
const exclusions = [
|
||||
/^(throttling error|service unavailable):/i,
|
||||
/rate limit/i,
|
||||
/too many requests/i,
|
||||
// Cohere reports an output limit above the model maximum as "too many tokens"; compaction cannot fix it.
|
||||
/max[_ ]tokens must be less than/i,
|
||||
]
|
||||
const exclusions = [/^(throttling error|service unavailable):/i, /rate limit/i, /too many requests/i]
|
||||
|
||||
export const isContextOverflow = (message: string) =>
|
||||
!exclusions.some((pattern) => pattern.test(message)) &&
|
||||
@@ -74,47 +58,6 @@ export const isContextOverflowFailure = (failure: unknown) =>
|
||||
? failure.reason._tag === "InvalidRequest" && failure.reason.classification === "context-overflow"
|
||||
: Schema.is(ProviderErrorEvent)(failure) && failure.classification === "context-overflow"
|
||||
|
||||
/**
|
||||
* Whether a failed call may succeed when sent again: rate limits, provider-side failures, transport failures that did
|
||||
* not deliver an accepted write, and unrecognized failures. Callers decide which calls are safe to repeat.
|
||||
*/
|
||||
export const isRetryable = (error: AIError) => {
|
||||
const override = error.reason.http?.headers["x-should-retry"]
|
||||
if (override === "true") return true
|
||||
if (override === "false") return false
|
||||
switch (error.reason._tag) {
|
||||
case "RateLimit":
|
||||
case "ProviderInternal":
|
||||
return true
|
||||
// A WebSocket acknowledgment marks delivery accepted before model output may exist.
|
||||
// Read failures can still recover; the caller chooses retry versus continuation from durable output.
|
||||
case "Transport":
|
||||
return (
|
||||
error.reason.delivery !== "rejected" &&
|
||||
(error.reason.delivery !== "accepted" || error.reason.operation === "read")
|
||||
)
|
||||
case "InvalidProviderOutput":
|
||||
return error.reason.classification === "incomplete-stream"
|
||||
// Unrecognized failures retry: classification records affirmative
|
||||
// deterministic evidence, and transient failures are exactly the ones
|
||||
// that arrive in shapes no classifier anticipates.
|
||||
case "UnknownProvider":
|
||||
return true
|
||||
case "Authentication":
|
||||
case "QuotaExceeded":
|
||||
case "ContentPolicy":
|
||||
case "InvalidRequest":
|
||||
case "UnsupportedOperation":
|
||||
case "NoRoute":
|
||||
case "Timeout":
|
||||
return false
|
||||
default: {
|
||||
const exhaustive: never = error.reason
|
||||
return exhaustive
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const decodeJson = Schema.decodeUnknownOption(Schema.fromJsonString(Schema.Unknown))
|
||||
// OpenCode Zen reports account caps as typed 429/402 errors that are not throttles.
|
||||
const QUOTA_CODES = new Set([
|
||||
@@ -125,9 +68,7 @@ const QUOTA_CODES = new Set([
|
||||
"freeusagelimiterror",
|
||||
"creditlimitexceeded",
|
||||
])
|
||||
// Google reports an invalid API key as HTTP 400 INVALID_ARGUMENT with this `details[].reason`.
|
||||
// Z.ai's Responses API reports account and plan rejections mid-stream as `permission_denied`.
|
||||
const AUTH_CODES = new Set(["authentication_error", "permission_error", "permission_denied", "api_key_invalid"])
|
||||
const AUTH_CODES = new Set(["authentication_error", "permission_error"])
|
||||
const SERVER_CODES = new Set([
|
||||
"api_error",
|
||||
"internal_error",
|
||||
@@ -141,7 +82,6 @@ const SERVER_CODES = new Set([
|
||||
])
|
||||
// `invalid_request` is the Vercel AI Gateway's code for an upstream request rejection.
|
||||
const INVALID_REQUEST_CODES = new Set([
|
||||
"model_not_found",
|
||||
"invalid_prompt",
|
||||
"invalid_request",
|
||||
"invalid_request_error",
|
||||
@@ -161,57 +101,18 @@ const CONTENT_POLICY_CODES = new Set([
|
||||
// OpenCode Zen replaces upstream codes outside its allow-list but keeps the original
|
||||
// as a `[code]` label at the start of the rewritten message.
|
||||
const GATEWAY_CODE_LABEL = /^[^:\n]+: \[([A-Za-z0-9_.-]+)\]/
|
||||
// xAI reports an invalid API key as HTTP 400 with the generic `invalid-argument` code.
|
||||
const AUTH_TEXT = /incorrect api key provided/i
|
||||
const RATE_LIMIT_TEXT = /rate increased too quickly|rate[-_\s]?limit|too[_\s]?many[_\s]?requests/i
|
||||
// Only consulted on 429, where throttles and account caps share a status.
|
||||
// Z.ai reports balance, plan expiry, plan limits, and plan model access on 429.
|
||||
const QUOTA_TEXT =
|
||||
/insufficient[-_\s]?(?:quota|balance)|quota[-_\s]?exceeded|budget exceeded|usage limit|limit exhausted|package has expired|plan does not yet include/i
|
||||
const QUOTA_TEXT = /insufficient[-_\s]?quota|quota[-_\s]?exceeded|budget exceeded|usage limit/i
|
||||
// Policy rejections without a dedicated code, matched against the provider's own
|
||||
// explanation only. OpenAI reuses `invalid_prompt` for usage-policy rejections while
|
||||
// Bedrock Mantle reuses it for schema validation; Anthropic reports blocked output
|
||||
// under `invalid_request_error`.
|
||||
const CONTENT_POLICY_TEXT =
|
||||
/violating our usage policy|blocked by content filtering policy|content[-_\s]?policy|rejected as a result of our safety system|detected potentially unsafe or sensitive content/i
|
||||
/violating our usage policy|blocked by content filtering policy|content[-_\s]?policy|rejected as a result of our safety system/i
|
||||
const SERVER_ERROR_TEXT =
|
||||
/\b(?:try again|(?:please |you can )?retry (?:the |this |your )?request|try (?:the |this |your )?request again|(?:currently |temporarily )?at capacity|overloaded|temporarily unavailable|service[-_\s]?unavailable|(?:server|internal)[-_\s]?error|server (?:is )?busy|provider returned (?:an )?error|resource[-_\s]?exhausted|upstream (?:connect|connection|request)|request buffer limit while retrying upstream)\b/i
|
||||
|
||||
const Message = Schema.String.check(Schema.isPattern(/\S/))
|
||||
|
||||
const messageAt = <Fields extends Schema.Struct.Fields>(
|
||||
fields: Fields,
|
||||
message: (body: Schema.Struct<Fields>["Type"]) => string,
|
||||
) =>
|
||||
Schema.Struct(fields).pipe(
|
||||
Schema.decodeTo(Schema.String, {
|
||||
decode: SchemaGetter.transform(message),
|
||||
encode: SchemaGetter.forbidden(() => "Provider error messages are decode-only"),
|
||||
}),
|
||||
)
|
||||
|
||||
// Common error body layouts that carry a human-readable message, in priority order.
|
||||
// Provider-specific layouts belong in their protocol.
|
||||
const decodeMessage = Schema.decodeUnknownOption(
|
||||
Schema.fromJsonString(
|
||||
Schema.Union([
|
||||
messageAt({ error: Schema.Struct({ message: Message }) }, (body) => body.error.message),
|
||||
messageAt({ error: Message }, (body) => body.error),
|
||||
messageAt({ message: Message }, (body) => body.message),
|
||||
// AWS services
|
||||
messageAt({ Message: Message }, (body) => body.Message),
|
||||
// RFC 9457 problem details
|
||||
messageAt({ detail: Message }, (body) => body.detail),
|
||||
messageAt(
|
||||
{ errors: Schema.NonEmptyArray(Schema.Struct({ message: Message })) },
|
||||
(body) => body.errors[0].message,
|
||||
),
|
||||
]),
|
||||
),
|
||||
)
|
||||
|
||||
export const providerErrorMessage = (body: string) => Option.getOrUndefined(decodeMessage(body))
|
||||
|
||||
export interface ProviderFailure {
|
||||
readonly message: string
|
||||
readonly status?: number | undefined
|
||||
@@ -264,12 +165,7 @@ export function classifyProviderFailure(input: ProviderFailure): AIError["reason
|
||||
(input.status === 429 && QUOTA_TEXT.test(text))
|
||||
)
|
||||
return new QuotaExceededError(details)
|
||||
if (
|
||||
input.status === 401 ||
|
||||
input.status === 403 ||
|
||||
codes.some((code) => AUTH_CODES.has(code)) ||
|
||||
(input.status === 400 && AUTH_TEXT.test(text))
|
||||
)
|
||||
if (input.status === 401 || input.status === 403 || codes.some((code) => AUTH_CODES.has(code)))
|
||||
return new AuthenticationError(details)
|
||||
if (
|
||||
input.status === 429 ||
|
||||
@@ -322,10 +218,6 @@ function providerCodes(value: unknown) {
|
||||
error?.type,
|
||||
error?.status,
|
||||
error?.error_type,
|
||||
// Google `google.rpc.ErrorInfo` details carry the specific reason.
|
||||
...(Array.isArray(error?.details)
|
||||
? error.details.map((detail) => (isRecord(detail) ? detail.reason : undefined))
|
||||
: []),
|
||||
inner?.code,
|
||||
metadata?.error_type,
|
||||
responseError?.code,
|
||||
|
||||
@@ -28,8 +28,7 @@ export type Settings = ProviderPackage.Settings &
|
||||
readonly provider?: string
|
||||
}
|
||||
|
||||
const compatibleRoute = AnthropicMessages.route.with({ id: "anthropic-compatible-messages", provider: id })
|
||||
export const routes = [compatibleRoute]
|
||||
export const routes = [AnthropicMessages.route]
|
||||
|
||||
const auth = (input: ProviderAuthOption<"optional">) => {
|
||||
if ("auth" in input && input.auth) return input.auth
|
||||
@@ -44,7 +43,7 @@ export const configure = (input: Config) => {
|
||||
message: "Anthropic-compatible providers require a baseURL",
|
||||
})
|
||||
const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input
|
||||
const route = (provider === "anthropic" ? AnthropicMessages.route : compatibleRoute).with({
|
||||
const route = AnthropicMessages.route.with({
|
||||
...rest,
|
||||
provider,
|
||||
endpoint: { baseURL },
|
||||
|
||||
@@ -42,24 +42,14 @@ export type Settings = ProviderPackage.Settings &
|
||||
|
||||
export const baseURL = (input: GatewayURL) => {
|
||||
if (input.baseURL) return input.baseURL
|
||||
return `https://api.cloudflare.com/client/v4/accounts/${encodeURIComponent(requireAccountId(input))}/ai/v1`
|
||||
if (!input.accountId)
|
||||
throw new ProviderConfigurationError({
|
||||
provider: id,
|
||||
message: "CloudflareAIGateway.configure requires accountId unless baseURL is supplied",
|
||||
})
|
||||
return `https://api.cloudflare.com/client/v4/accounts/${encodeURIComponent(input.accountId)}/ai/v1`
|
||||
}
|
||||
|
||||
// Cloudflare's REST API rejects parts of the Anthropic Messages and OpenAI Responses request shapes, such as
|
||||
// system prompt blocks and `minimal` reasoning effort, so these models use the provider-native gateway endpoints.
|
||||
const passthroughURL = (input: GatewayURL & GatewayOptions, provider: "anthropic/v1" | "openai") =>
|
||||
`https://gateway.ai.cloudflare.com/v1/${encodeURIComponent(requireAccountId(input))}/${encodeURIComponent(gatewayId(input))}/${provider}`
|
||||
|
||||
const requireAccountId = (input: GatewayURL) => {
|
||||
if (input.accountId) return input.accountId
|
||||
throw new ProviderConfigurationError({
|
||||
provider: id,
|
||||
message: "CloudflareAIGateway.configure requires accountId unless baseURL is supplied",
|
||||
})
|
||||
}
|
||||
|
||||
const gatewayId = (input: GatewayOptions) => input.gatewayId?.trim() || "default"
|
||||
|
||||
export const responsesRoute = OpenAIResponses.route.with({
|
||||
id: "cloudflare-ai-gateway-responses",
|
||||
provider: id,
|
||||
@@ -80,12 +70,16 @@ export const route = OpenAIChat.route.with({
|
||||
|
||||
export const routes = [responsesRoute, messagesRoute, route]
|
||||
|
||||
const credential = (input: LanguageModelOptions) =>
|
||||
Auth.optional(input.gatewayApiKey ?? ("apiKey" in input ? input.apiKey : undefined), "apiKey")
|
||||
const auth = (input: LanguageModelOptions) => {
|
||||
if ("auth" in input && input.auth) return input.auth
|
||||
return Auth.optional(input.gatewayApiKey ?? ("apiKey" in input ? input.apiKey : undefined), "apiKey")
|
||||
.orElse(Auth.config(authEnvVars[0]))
|
||||
.orElse(Auth.config(authEnvVars[1]))
|
||||
.bearer()
|
||||
}
|
||||
|
||||
const headers = (input: LanguageModelOptions) => ({
|
||||
...(input.gatewayId === undefined ? {} : { "cf-aig-gateway-id": input.gatewayId.trim() || "default" }),
|
||||
...(input.metadata === undefined
|
||||
? {}
|
||||
: { "cf-aig-metadata": Schema.encodeSync(Schema.fromJsonString(Schema.Unknown))(input.metadata) }),
|
||||
@@ -96,42 +90,31 @@ const headers = (input: LanguageModelOptions) => ({
|
||||
...input.headers,
|
||||
})
|
||||
|
||||
const modelID = (input: string | ModelID) => {
|
||||
const value = String(input)
|
||||
if (value.startsWith("workers-ai/")) return value.slice("workers-ai/".length)
|
||||
if (value.startsWith("anthropic/")) return `anthropic/${value.slice("anthropic/".length).replaceAll(".", "-")}`
|
||||
return value
|
||||
}
|
||||
|
||||
export const configure = (input: LanguageModelOptions) => {
|
||||
const custom = "auth" in input && input.auth ? input.auth : undefined
|
||||
const rest = {
|
||||
const defaults = {
|
||||
endpoint: { baseURL: baseURL(input) },
|
||||
auth: custom ?? credential(input).bearer(),
|
||||
headers: { "cf-aig-gateway-id": gatewayId(input), ...headers(input) },
|
||||
auth: auth(input),
|
||||
headers: headers(input),
|
||||
http: input.http,
|
||||
providerOptions: input.providerOptions,
|
||||
}
|
||||
// A custom baseURL stands in for the REST API, so every model keeps using it with gateway model IDs.
|
||||
const native = input.baseURL === undefined
|
||||
const passthrough = (provider: "anthropic/v1" | "openai") =>
|
||||
native
|
||||
? {
|
||||
...rest,
|
||||
endpoint: { baseURL: passthroughURL(input, provider) },
|
||||
auth: custom ?? Auth.bearerHeader("cf-aig-authorization", credential(input)),
|
||||
headers: headers(input),
|
||||
}
|
||||
: rest
|
||||
const responses = responsesRoute.with(passthrough("openai"))
|
||||
const messages = messagesRoute.with(passthrough("anthropic/v1"))
|
||||
const chat = route.with(rest)
|
||||
const responses = responsesRoute.with(defaults)
|
||||
const messages = messagesRoute.with(defaults)
|
||||
const chat = route.with(defaults)
|
||||
return {
|
||||
id,
|
||||
model: (input: string | ModelID) => {
|
||||
const value = String(input)
|
||||
if (value.startsWith("openai/"))
|
||||
return responses.model<OpenAIProviderOptionsInput>({ id: native ? value.slice("openai/".length) : value })
|
||||
if (value.startsWith("anthropic/"))
|
||||
return messages.model<OpenAIProviderOptionsInput>({
|
||||
id: native ? value.slice("anthropic/".length).replaceAll(".", "-") : value,
|
||||
})
|
||||
if (value.startsWith("workers-ai/"))
|
||||
return chat.model<OpenAIProviderOptionsInput>({ id: value.slice("workers-ai/".length) })
|
||||
return chat.model<OpenAIProviderOptionsInput>({ id: value })
|
||||
const wire = modelID(input)
|
||||
if (String(input).startsWith("openai/")) return responses.model<OpenAIProviderOptionsInput>({ id: wire })
|
||||
if (String(input).startsWith("anthropic/")) return messages.model<OpenAIProviderOptionsInput>({ id: wire })
|
||||
return chat.model<OpenAIProviderOptionsInput>({ id: wire })
|
||||
},
|
||||
configure,
|
||||
}
|
||||
|
||||
@@ -1,66 +0,0 @@
|
||||
import { CohereChat } from "../protocols/cohere-chat.js"
|
||||
import { OpenAIChat } from "../protocols/openai-chat.js"
|
||||
import { Route, type RouteDefaultsInput } from "../route/client.js"
|
||||
import { Endpoint } from "../route/endpoint.js"
|
||||
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
|
||||
import { ProviderID, type ModelID, type OpenString } from "../schema/index.js"
|
||||
import type { ProviderPackage } from "../provider-package.js"
|
||||
|
||||
export const id = ProviderID.make("cohere")
|
||||
const COMPATIBILITY_BASE_URL = "https://api.cohere.ai/compatibility/v1"
|
||||
export type ChatOptionsInput = { readonly reasoningEffort?: OpenString<"none" | "high"> }
|
||||
export type ProviderOptions = CohereChat.ProviderOptionsInput & ChatOptionsInput
|
||||
export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
readonly baseURL?: string
|
||||
readonly providerOptions?: ProviderOptions
|
||||
}
|
||||
export type Settings<Options = CohereChat.ProviderOptionsInput> = ProviderPackage.Settings &
|
||||
Options & { readonly apiKey?: string; readonly baseURL?: string }
|
||||
|
||||
export const route = CohereChat.route
|
||||
export const chatRoute = Route.make({
|
||||
id: "cohere-chat-completions",
|
||||
provider: id,
|
||||
providerMetadataKey: "cohere",
|
||||
protocol: OpenAIChat.protocol,
|
||||
endpoint: Endpoint.path("/chat/completions", { baseURL: COMPATIBILITY_BASE_URL }),
|
||||
framing: OpenAIChat.framing,
|
||||
})
|
||||
export const routes = [route, chatRoute]
|
||||
|
||||
export const configure = (input: LanguageModelOptions = {}) => {
|
||||
const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
|
||||
const auth = AuthOptions.bearer(input, "COHERE_API_KEY")
|
||||
const native = route.with({ ...defaults, auth, endpoint: { baseURL: baseURL ?? CohereChat.DEFAULT_BASE_URL } })
|
||||
const chat = chatRoute.with({ ...defaults, auth, endpoint: { baseURL: baseURL ?? COMPATIBILITY_BASE_URL } })
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) => native.model<CohereChat.ProviderOptionsInput>({ id: modelID }),
|
||||
chat: (modelID: string | ModelID) =>
|
||||
chat.model<ChatOptionsInput>({
|
||||
id: modelID,
|
||||
compatibility: {
|
||||
maxTokensField: "max_tokens",
|
||||
supportsStore: false,
|
||||
supportsUsageInStreaming: true,
|
||||
reasoningField: "reasoning_content",
|
||||
supportsStrictMode: false,
|
||||
},
|
||||
}),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
export const provider = configure()
|
||||
export const model: ProviderPackage.Definition<Settings, CohereChat.ProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
{ apiKey, baseURL, body, headers, ...providerOptions },
|
||||
) =>
|
||||
configure({
|
||||
apiKey,
|
||||
baseURL,
|
||||
headers,
|
||||
http: body === undefined ? undefined : { body: { ...body } },
|
||||
providerOptions,
|
||||
}).model(modelID)
|
||||
export * as Cohere from "./cohere.js"
|
||||
@@ -1,16 +0,0 @@
|
||||
import type { ProviderPackage } from "../../provider-package.js"
|
||||
import { Cohere } from "../cohere.js"
|
||||
|
||||
export type Settings = Cohere.Settings<Cohere.ChatOptionsInput>
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, Cohere.ChatOptionsInput>["model"] = (
|
||||
modelID,
|
||||
{ apiKey, baseURL, body, headers, ...providerOptions },
|
||||
) =>
|
||||
Cohere.configure({
|
||||
apiKey,
|
||||
baseURL,
|
||||
headers,
|
||||
http: body === undefined ? undefined : { body: { ...body } },
|
||||
providerOptions,
|
||||
}).chat(modelID)
|
||||
@@ -1,76 +0,0 @@
|
||||
import type { ProviderPackage } from "../provider-package.js"
|
||||
import { OpenAIChat } from "../protocols/openai-chat.js"
|
||||
import { cacheControl } from "../protocols/utils/cache.js"
|
||||
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
|
||||
import { Route, type RouteDefaultsInput } from "../route/client.js"
|
||||
import { Endpoint } from "../route/endpoint.js"
|
||||
import { Protocol } from "../route/protocol.js"
|
||||
import { ProviderID, type ModelID } from "../schema/index.js"
|
||||
import type { OpenAIProviderOptionsInput } from "./openai-options.js"
|
||||
|
||||
export const id = ProviderID.make("digitalocean")
|
||||
const baseURL = "https://inference.do-ai.run/v1"
|
||||
|
||||
export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
|
||||
ProviderAuthOption<"optional"> & {
|
||||
readonly baseURL?: string
|
||||
readonly providerOptions?: OpenAIProviderOptionsInput
|
||||
}
|
||||
|
||||
export type Settings = ProviderPackage.Settings & OpenAIProviderOptionsInput & { readonly apiKey?: string }
|
||||
|
||||
export const protocol = Protocol.make({
|
||||
id: "digitalocean-chat",
|
||||
body: {
|
||||
schema: OpenAIChat.protocol.body.schema,
|
||||
from: (request) => OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }),
|
||||
},
|
||||
stream: OpenAIChat.protocol.stream,
|
||||
})
|
||||
|
||||
export const route = Route.make({
|
||||
id: "digitalocean",
|
||||
provider: id,
|
||||
providerMetadataKey: "digitalocean",
|
||||
protocol,
|
||||
endpoint: Endpoint.path("/chat/completions", { baseURL }),
|
||||
framing: OpenAIChat.framing,
|
||||
})
|
||||
|
||||
export const routes = [route]
|
||||
|
||||
export const configure = (input: LanguageModelOptions = {}) => {
|
||||
const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
|
||||
const configured = route.with({
|
||||
...defaults,
|
||||
endpoint: { baseURL: endpoint ?? baseURL },
|
||||
auth: AuthOptions.bearer(input, ["DIGITALOCEAN_ACCESS_TOKEN", "DIGITALOCEAN_API_KEY", "DO_INFERENCE_API_KEY"]),
|
||||
})
|
||||
return {
|
||||
id,
|
||||
model: (modelID: string | ModelID) =>
|
||||
configured.model<OpenAIProviderOptionsInput>({
|
||||
id: modelID,
|
||||
compatibility: {
|
||||
supportsPromptCacheKey: true,
|
||||
},
|
||||
}),
|
||||
configure,
|
||||
}
|
||||
}
|
||||
|
||||
export const provider = configure()
|
||||
|
||||
export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
|
||||
modelID,
|
||||
{ apiKey, baseURL, body, headers, ...providerOptions },
|
||||
) =>
|
||||
configure({
|
||||
apiKey,
|
||||
baseURL,
|
||||
headers,
|
||||
http: { body },
|
||||
providerOptions,
|
||||
}).model(modelID)
|
||||
|
||||
export * as DigitalOcean from "./digitalocean.js"
|
||||
@@ -3,10 +3,8 @@ import type { ProviderAuthOption } from "../route/auth-options.js"
|
||||
import { MediaRoute } from "../route/media.js"
|
||||
import { type HttpOptions, ProviderID, type ModelID } from "../schema/index.js"
|
||||
import { ElevenLabsSpeech } from "../protocols/elevenlabs-speech.js"
|
||||
import { ElevenLabsTranscription } from "../protocols/elevenlabs-transcription.js"
|
||||
|
||||
export type { ElevenLabsOutputFormat, ElevenLabsSpeechOptions } from "../protocols/elevenlabs-speech.js"
|
||||
export type { ElevenLabsTranscriptionOptions } from "../protocols/elevenlabs-transcription.js"
|
||||
|
||||
export const id = ProviderID.make("elevenlabs")
|
||||
|
||||
@@ -26,15 +24,12 @@ const auth = (options: ProviderAuthOption<"optional">) => {
|
||||
export const configure = (input: Config = {}) => {
|
||||
const media = MediaRoute.deployment(input, auth(input))
|
||||
const speech = (modelID: string | ModelID) => ElevenLabsSpeech.model({ ...media, id: modelID })
|
||||
const transcription = (modelID: string | ModelID) => ElevenLabsTranscription.model({ ...media, id: modelID })
|
||||
return {
|
||||
id,
|
||||
speech,
|
||||
transcription,
|
||||
configure,
|
||||
}
|
||||
}
|
||||
|
||||
export const provider = configure()
|
||||
export const speech = provider.speech
|
||||
export const transcription = provider.transcription
|
||||
@@ -37,7 +37,7 @@ export type Settings = ProviderPackage.Settings &
|
||||
const route = Route.make({
|
||||
id: "google-vertex-messages",
|
||||
provider: id,
|
||||
providerMetadataKey: "vertex",
|
||||
providerMetadataKey: "anthropic",
|
||||
protocol: Protocol.make({
|
||||
id: AnthropicMessages.protocol.id,
|
||||
body: {
|
||||
|
||||
@@ -71,7 +71,7 @@ export const protocol = Protocol.make({
|
||||
export const route = Route.make({
|
||||
id: "groq-chat",
|
||||
provider: id,
|
||||
providerMetadataKey: "groq",
|
||||
providerMetadataKey: "openai",
|
||||
protocol,
|
||||
endpoint: Endpoint.path("/chat/completions", { baseURL }),
|
||||
framing: OpenAIChat.framing,
|
||||
|
||||
@@ -9,13 +9,11 @@ export * as Baseten from "./baseten.js"
|
||||
export * as BlackForestLabs from "./black-forest-labs.js"
|
||||
export * as Cartesia from "./cartesia.js"
|
||||
export * as Cerebras from "./cerebras.js"
|
||||
export * as Cohere from "./cohere.js"
|
||||
export * as CloudflareAIGateway from "./cloudflare-ai-gateway.js"
|
||||
export * as CloudflareWorkersAI from "./cloudflare-workers-ai.js"
|
||||
export * as DeepInfra from "./deepinfra.js"
|
||||
export * as Deepgram from "./deepgram.js"
|
||||
export * as DeepSeek from "./deepseek.js"
|
||||
export * as DigitalOcean from "./digitalocean.js"
|
||||
export * as ElevenLabs from "./elevenlabs.js"
|
||||
export * as Fal from "./fal.js"
|
||||
export * as Fireworks from "./fireworks.js"
|
||||
|
||||
@@ -3,11 +3,11 @@ import { Route, type RouteDefaultsInput } from "../route/client.js"
|
||||
import { Endpoint } from "../route/endpoint.js"
|
||||
import { Protocol } from "../route/protocol.js"
|
||||
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
|
||||
import { HttpOptions, ProviderID, type ModelID, type OpenString } from "../schema/index.js"
|
||||
import { HttpOptions, ProviderID, type CacheHint, type ModelID, type OpenString } from "../schema/index.js"
|
||||
import type { ProviderPackage } from "../provider-package.js"
|
||||
import { SystemOne } from "../experimental/system-one.js"
|
||||
import { OpenAIChat } from "../protocols/openai-chat.js"
|
||||
import { cacheControl } from "../protocols/utils/cache.js"
|
||||
import { newBreakpoints, ttlBucket } from "../protocols/utils/cache.js"
|
||||
import { isRecord, ProviderShared } from "../protocols/shared.js"
|
||||
|
||||
export const id = ProviderID.make("openrouter")
|
||||
@@ -131,6 +131,18 @@ export const protocol = Protocol.make({
|
||||
stream: OpenAIChat.protocol.stream,
|
||||
})
|
||||
|
||||
const cacheControl = () => {
|
||||
const breakpoints = newBreakpoints(4)
|
||||
return (cache: CacheHint | undefined) => {
|
||||
if (cache === undefined || breakpoints.remaining === 0) return undefined
|
||||
breakpoints.remaining -= 1
|
||||
return {
|
||||
type: "ephemeral" as const,
|
||||
...(ttlBucket(cache.ttlSeconds) === "1h" ? { ttl: "1h" } : {}),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// OpenRouter forwards `reasoning.max_tokens` as the upstream thinking budget. Upstreams such as Anthropic and Alibaba
|
||||
// reject one that is not below the output limit; 1,024 is Anthropic's minimum budget.
|
||||
const fitReasoning = (reasoning: Record<string, unknown>, maxTokens: number | undefined) =>
|
||||
|
||||
@@ -35,13 +35,13 @@ const RESPONSES_WEBSOCKET_ROTATE_AFTER_MS = 24 * 60 * 1000
|
||||
|
||||
const responsesRoute = Route.make({
|
||||
compact: { endpoint: XAIResponses.compact },
|
||||
id: "xai-responses",
|
||||
id: "openai-responses",
|
||||
provider: id,
|
||||
providerMetadataKey: "xai",
|
||||
protocol: XAIResponses.protocol,
|
||||
endpoint: Endpoint.path("/responses", { baseURL }),
|
||||
transport: OpenResponsesChannel.transport({
|
||||
id: "xai-responses",
|
||||
id: "openai-responses",
|
||||
name: "xAI Responses",
|
||||
rotateAfterMs: RESPONSES_WEBSOCKET_ROTATE_AFTER_MS,
|
||||
// xAI continues a chain only from stored responses: with `store: false` (the route default) `previous_response_id`
|
||||
@@ -53,7 +53,7 @@ const responsesRoute = Route.make({
|
||||
})
|
||||
|
||||
const chatRoute = Route.make({
|
||||
id: "xai-chat",
|
||||
id: "openai-compatible-chat",
|
||||
provider: id,
|
||||
providerMetadataKey: "xai",
|
||||
protocol: OpenAIChat.protocol,
|
||||
|
||||
@@ -95,7 +95,7 @@ export const optional = (secret: Secret | undefined, source = "optional value")
|
||||
export const config = (name: string) =>
|
||||
credential(
|
||||
Effect.gen(function* () {
|
||||
const secret = yield* Config.option(Config.redacted(name))
|
||||
const secret = yield* Config.option(Config.Redacted(name))
|
||||
if (Option.isSome(secret) && Redacted.value(secret.value) !== "") return secret.value
|
||||
return yield* Effect.fail(new MissingCredentialError(name, `${name} is not set`))
|
||||
}),
|
||||
|
||||
@@ -8,7 +8,7 @@ import {
|
||||
HttpClientResponse,
|
||||
} from "effect/unstable/http"
|
||||
import { HttpContext, HttpRateLimitDetails, AIError, TransportError } from "../schema/index.js"
|
||||
import { classifyProviderFailure, providerErrorMessage } from "../provider-error.js"
|
||||
import { classifyProviderFailure } from "../provider-error.js"
|
||||
import { Service, type HttpMiddleware, type Interface } from "./executor-service.js"
|
||||
|
||||
export { Service } from "./executor-service.js"
|
||||
@@ -84,17 +84,21 @@ export const responseHttp = (response: HttpClientResponse.HttpClientResponse) =>
|
||||
headers: headerDetails(response.headers),
|
||||
})
|
||||
|
||||
const MAX_BODY_CHARS = 2000
|
||||
const decodeProviderBody = Schema.decodeUnknownOption(
|
||||
Schema.fromJsonString(
|
||||
Schema.Struct({
|
||||
message: Schema.optionalKey(Schema.String),
|
||||
error: Schema.optionalKey(Schema.Struct({ message: Schema.optionalKey(Schema.String) })),
|
||||
}),
|
||||
),
|
||||
)
|
||||
|
||||
// Without a recognized message, show the raw body so the provider's explanation is never dropped.
|
||||
const providerMessage = (status: number, body: string | void) => {
|
||||
const fallback = `Provider request failed with HTTP ${status}`
|
||||
const text = body?.trim() ?? ""
|
||||
const message = providerErrorMessage(text)
|
||||
if (message) return message
|
||||
// Gateway and proxy HTML error pages are markup, not an explanation.
|
||||
if (!text || /^<(?:!doctype|html)/i.test(text)) return fallback
|
||||
return `${fallback}: ${text.length > MAX_BODY_CHARS ? `${text.slice(0, MAX_BODY_CHARS)}…` : text}`
|
||||
const decoded = body === undefined ? undefined : Option.getOrUndefined(decodeProviderBody(body))
|
||||
return (
|
||||
[decoded?.error?.message, decoded?.message].find((message) => message?.trim()) ??
|
||||
`Provider request failed with HTTP ${status}`
|
||||
)
|
||||
}
|
||||
|
||||
const statusError = (response: HttpClientResponse.HttpClientResponse) =>
|
||||
|
||||
@@ -5,14 +5,12 @@ import { Media } from "../media.js"
|
||||
import type { AuthInput } from "./auth.js"
|
||||
import {
|
||||
AIError,
|
||||
AuthenticationError,
|
||||
ContentPolicyError,
|
||||
HttpContext,
|
||||
InvalidProviderOutputError,
|
||||
InvalidRequestError,
|
||||
ProviderID,
|
||||
ProviderInternalError,
|
||||
RateLimitError,
|
||||
UnsupportedOperationError,
|
||||
} from "../schema/index.js"
|
||||
|
||||
@@ -190,16 +188,6 @@ export const stream = <Request, Event, Frame, State>(
|
||||
// Response helpers
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
/** Reasons a provider can report for a `failed` generation; anything it does not classify is `ProviderInternal`. */
|
||||
const FAILURES = {
|
||||
InvalidRequest: InvalidRequestError,
|
||||
Authentication: AuthenticationError,
|
||||
RateLimit: RateLimitError,
|
||||
ProviderInternal: ProviderInternalError,
|
||||
}
|
||||
|
||||
export type Failure = keyof typeof FAILURES
|
||||
|
||||
const context = (response: HttpClientResponse.HttpClientResponse) =>
|
||||
new HttpContext({ url: response.request.url, status: response.status, headers: response.headers })
|
||||
|
||||
@@ -211,10 +199,9 @@ export const identity = (input: { readonly id: string; readonly name: string; re
|
||||
|
||||
/**
|
||||
* Read a text body while retaining the original payload and HTTP context on every downstream error. `invalid` is a
|
||||
* malformed provider document; `ended` is a generation that reached a terminal status without output (`failed`
|
||||
* carries the provider's classification, defaulting to `ProviderInternal`; `cancelled`/`expired` mean the result
|
||||
* will never exist); `pending` is a `result()` read before the generation finished, which is caller misuse;
|
||||
* `contentPolicy` is a moderated result.
|
||||
* malformed provider document; `ended` is a generation that reached a terminal status without output (`failed` is
|
||||
* provider-side, `cancelled`/`expired` mean the result will never exist); `pending` is a `result()` read before the
|
||||
* generation finished, which is caller misuse; `contentPolicy` is a moderated result.
|
||||
*/
|
||||
const text = Effect.fn("MediaProtocol.text")(function* (response: HttpClientResponse.HttpClientResponse) {
|
||||
const http = context(response)
|
||||
@@ -236,15 +223,11 @@ export const identity = (input: { readonly id: string; readonly name: string; re
|
||||
http,
|
||||
invalid: (message: string, cause?: unknown) =>
|
||||
new AIError({ reason: new InvalidProviderOutputError({ route: input.id, message, body, http, cause }) }),
|
||||
ended: (
|
||||
status: Exclude<Status, "queued" | "running" | "completed">,
|
||||
message: string,
|
||||
failure: Failure = "ProviderInternal",
|
||||
) =>
|
||||
ended: (status: Exclude<Status, "queued" | "running" | "completed">, message: string) =>
|
||||
new AIError({
|
||||
reason:
|
||||
status === "failed"
|
||||
? new FAILURES[failure]({ message, body, http })
|
||||
? new ProviderInternalError({ message, body, http })
|
||||
: new InvalidRequestError({ message, body, http }),
|
||||
}),
|
||||
pending: (id: string) =>
|
||||
@@ -320,10 +303,6 @@ export const status = <Table extends Record<string, Status>>(
|
||||
return Effect.succeed(table[raw])
|
||||
}
|
||||
|
||||
/** Map a provider error code through the protocol's table; missing or unmapped codes are `ProviderInternal`. */
|
||||
export const failure = (table: Readonly<Record<string, Failure>>, code: string | number | undefined): Failure =>
|
||||
code !== undefined && Object.hasOwn(table, code) ? table[code] : "ProviderInternal"
|
||||
|
||||
/** A `url` asset whose provider-declared retention window starts now. */
|
||||
export const expiringUrl = (url: string, retention: Duration.Duration, options?: Parameters<typeof Media.url>[1]) =>
|
||||
Clock.currentTimeMillis.pipe(
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { Duration, Effect, Schedule, Schema, Stream } from "effect"
|
||||
import { Effect, Schema, Stream } from "effect"
|
||||
import { Headers, HttpClientRequest, type HttpClientResponse } from "effect/unstable/http"
|
||||
import { Auth, type AuthInput } from "./auth.js"
|
||||
import { Endpoint } from "./endpoint.js"
|
||||
@@ -7,7 +7,6 @@ import { RequestExecutor } from "./executor.js"
|
||||
import { MediaProtocol } from "./media-protocol.js"
|
||||
import { Generation, isTerminal } from "../generation.js"
|
||||
import type { Media } from "../media.js"
|
||||
import { isRetryable } from "../provider-error.js"
|
||||
import {
|
||||
AIError,
|
||||
AIErrorReason,
|
||||
@@ -138,32 +137,6 @@ export const inline = <Request extends MediaRequest, Response>(
|
||||
}
|
||||
}
|
||||
|
||||
const READ_RETRY_MAX_DELAY = Duration.seconds(30)
|
||||
|
||||
/**
|
||||
* Status and result reads retry transient failures; `start` and `cancel` never do. Gaps grow exponentially from 1s,
|
||||
* jittered, up to 30s each, for at most 8 retries (about two minutes when every attempt fails), so a direct
|
||||
* `Generation.result()` stays bounded; `await` and `events` also cut retries off at `poll.timeout`. A provider
|
||||
* `retryAfterMs` raises the gap, still capped at 30s.
|
||||
*/
|
||||
const READ_RETRY = Schedule.max([
|
||||
Schedule.min([Schedule.exponential("1 second"), Schedule.spaced(READ_RETRY_MAX_DELAY)]),
|
||||
Schedule.recurs(8),
|
||||
]).pipe(
|
||||
Schedule.jittered,
|
||||
Schedule.setInputType<AIError>(),
|
||||
Schedule.modifyDelay(({ input, duration }) =>
|
||||
Effect.succeed(
|
||||
Duration.min(
|
||||
input.reason._tag === "RateLimit" || input.reason._tag === "ProviderInternal"
|
||||
? Duration.max(duration, Duration.millis(input.reason.retryAfterMs ?? 0))
|
||||
: duration,
|
||||
READ_RETRY_MAX_DELAY,
|
||||
),
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
/**
|
||||
* Compose a queued media protocol the same way, adding `start`/`resume` handles whose polls reuse the route's auth,
|
||||
* deployment headers, and (for `start`) the request's `http` overlay. The token is decoded once at the boundary and
|
||||
@@ -181,8 +154,6 @@ export const queued = <Request extends MediaRequest, Response, Token>(
|
||||
const generationRoute = (token: Token, http: HttpOptions | undefined, execute: Execute) => {
|
||||
const materialize = (asset: Media.Asset) =>
|
||||
asset.materialize().pipe(Effect.provideService(RequestExecutorService, { execute }))
|
||||
// Only the GET exchange retries: a decoded terminal failure (`output.ended`) can be a `ProviderInternal` too, and
|
||||
// re-reading it would spin until the caller's deadline.
|
||||
const poll = <A>(operation: {
|
||||
readonly path: (token: Token) => string
|
||||
readonly decode: (
|
||||
@@ -190,10 +161,9 @@ export const queued = <Request extends MediaRequest, Response, Token>(
|
||||
context: MediaProtocol.PollContext<Token>,
|
||||
) => Effect.Effect<A, AIError>
|
||||
}) =>
|
||||
transport.call("GET", operation.path(token), http, execute).pipe(
|
||||
Effect.retry({ schedule: READ_RETRY, while: isRetryable }),
|
||||
Effect.flatMap((sent) => operation.decode(sent.response, { token, auth: sent.auth, materialize })),
|
||||
)
|
||||
transport
|
||||
.call("GET", operation.path(token), http, execute)
|
||||
.pipe(Effect.flatMap((sent) => operation.decode(sent.response, { token, auth: sent.auth, materialize })))
|
||||
const status = poll(protocol.status)
|
||||
const cancel = protocol.cancel
|
||||
const send =
|
||||
|
||||
@@ -264,10 +264,6 @@ export type ToolError = Schema.Schema.Type<typeof ToolError>
|
||||
export const FinishReasonDetails = Schema.Struct({
|
||||
normalized: FinishReason,
|
||||
raw: Schema.optional(Schema.String),
|
||||
/** The provider's policy area for a content-filter finish, such as `cyber`. */
|
||||
category: Schema.optional(Schema.String),
|
||||
/** The provider's human-readable reason for a content-filter finish. */
|
||||
explanation: Schema.optional(Schema.String),
|
||||
}).annotate({ identifier: "LLM.FinishReasonDetails" })
|
||||
export type FinishReasonDetails = Schema.Schema.Type<typeof FinishReasonDetails>
|
||||
|
||||
|
||||
@@ -6,17 +6,10 @@ const MISSING_TOOL_RESULT = "Tool result missing"
|
||||
export function normalizeToolHistory(messages: ReadonlyArray<Message>) {
|
||||
const normalized: Message[] = []
|
||||
const pending = new Map<string, ToolCallPart>()
|
||||
// System updates cannot sit between a tool call and its results, so they wait until every pending call is answered.
|
||||
const held: Message[] = []
|
||||
const releaseHeld = () => {
|
||||
if (pending.size > 0) return
|
||||
normalized.push(...held)
|
||||
held.length = 0
|
||||
}
|
||||
const appendMissingResults = () => {
|
||||
if (pending.size > 0) normalized.push(missingToolResults(pending.values()))
|
||||
if (pending.size === 0) return
|
||||
normalized.push(missingToolResults(pending.values()))
|
||||
pending.clear()
|
||||
releaseHeld()
|
||||
}
|
||||
|
||||
for (const message of messages) {
|
||||
@@ -25,12 +18,6 @@ export function normalizeToolHistory(messages: ReadonlyArray<Message>) {
|
||||
if (message.role === "tool") {
|
||||
const tool = normalizeToolMessage(message, pending)
|
||||
if (tool) normalized.push(tool)
|
||||
releaseHeld()
|
||||
continue
|
||||
}
|
||||
|
||||
if (message.role === "system" && pending.size > 0) {
|
||||
held.push(message)
|
||||
continue
|
||||
}
|
||||
|
||||
@@ -40,7 +27,6 @@ export function normalizeToolHistory(messages: ReadonlyArray<Message>) {
|
||||
if (part.type === "tool-call" && part.providerExecuted !== true) pending.set(part.id, part)
|
||||
}
|
||||
}
|
||||
appendMissingResults()
|
||||
|
||||
return normalized.length === messages.length && normalized.every((message, index) => message === messages[index])
|
||||
? messages
|
||||
|
||||
+28
-2
@@ -6,6 +6,7 @@ import type {
|
||||
ToolOutput as ToolOutputType,
|
||||
} from "./schema/index.js"
|
||||
import { ToolDefinition, ToolFailure, ToolOutput } from "./schema/index.js"
|
||||
import { isRecord } from "./utils/record.js"
|
||||
|
||||
/**
|
||||
* Schema constraint for tool parameters / success values: no decoding or
|
||||
@@ -200,7 +201,7 @@ export function make(config: TypedToolConfig | DynamicToolConfig): AnyTool {
|
||||
_definition: new ToolDefinition({
|
||||
name: "",
|
||||
description: config.description,
|
||||
inputSchema: toJsonSchema(config.parameters),
|
||||
inputSchema: toInputJsonSchema(config.parameters),
|
||||
outputSchema: toJsonSchema(config.success),
|
||||
}),
|
||||
}
|
||||
@@ -230,8 +231,33 @@ export const toDefinitions = (tools: Tools): ReadonlyArray<ToolDefinitionClass>
|
||||
}),
|
||||
)
|
||||
|
||||
const toInputJsonSchema = (schema: Schema.Top): JsonSchema.JsonSchema => {
|
||||
// Effect represents Struct({}) as any non-null value; tool parameters must
|
||||
// instead describe an object. Inline named empty inputs so providers such as
|
||||
// Gemini can recognize a no-argument tool, while retaining schema annotations.
|
||||
if (
|
||||
schema.ast._tag !== "Objects" ||
|
||||
schema.ast.propertySignatures.length !== 0 ||
|
||||
schema.ast.indexSignatures.length !== 0 ||
|
||||
schema.ast.encoding !== undefined ||
|
||||
schema.ast.checks !== undefined
|
||||
)
|
||||
return toJsonSchema(schema)
|
||||
|
||||
const json = Schema.toJsonSchemaDocument(schema, {
|
||||
onExcessProperty: "error",
|
||||
referencePolicy: () => undefined,
|
||||
}).schema
|
||||
if (isRecord(json.not) && json.not.type === "null" && Object.keys(json.not).length === 1) {
|
||||
const normalized: JsonSchema.JsonSchema = { type: "object", properties: {}, additionalProperties: false, ...json }
|
||||
delete normalized.not
|
||||
return normalized
|
||||
}
|
||||
return toJsonSchema(schema)
|
||||
}
|
||||
|
||||
const toJsonSchema = (schema: Schema.Top): JsonSchema.JsonSchema => {
|
||||
const document = Schema.toJsonSchemaDocument(schema)
|
||||
const document = Schema.toJsonSchemaDocument(schema, { onExcessProperty: "error" })
|
||||
if (Object.keys(document.definitions).length === 0) return document.schema
|
||||
return { ...document.schema, $defs: document.definitions }
|
||||
}
|
||||
|
||||
@@ -103,7 +103,7 @@ export type TranscriptionRequestInput<Model extends TranscriptionModel = Transcr
|
||||
// Response and events
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
/** Speaker labels are provider-native (`A`, `0`, `spk:0`, `speaker_0`, or a known speaker name). */
|
||||
/** Speaker labels are provider-native (`A`, `0`, `spk:0`, or a known speaker name). */
|
||||
export const TranscriptionSegment = Schema.Struct({
|
||||
text: Schema.String,
|
||||
startSeconds: Schema.Number,
|
||||
|
||||
@@ -30,7 +30,7 @@ type LanguageModel = {
|
||||
declare const auth: Auth.Definition
|
||||
declare const optionalAuthModel: LanguageModelFactory<BaseOptions, "optional", LanguageModel>
|
||||
declare const requiredAuthModel: LanguageModelFactory<BaseOptions, "required", LanguageModel>
|
||||
const configApiKey = Config.redacted("OPENAI_API_KEY")
|
||||
const configApiKey = Config.Redacted("OPENAI_API_KEY")
|
||||
|
||||
OpenAIChat.route.model({ id: "gpt-4.1-mini" })
|
||||
|
||||
|
||||
@@ -3,18 +3,7 @@ import { Effect } from "effect"
|
||||
import { CacheHint, LLM, Message } from "../src/index.js"
|
||||
import { Auth } from "../src/route.js"
|
||||
import { compileRequest } from "../src/route/client.js"
|
||||
import {
|
||||
Alibaba,
|
||||
AmazonBedrock,
|
||||
AnthropicCompatible,
|
||||
CloudflareAIGateway,
|
||||
DigitalOcean,
|
||||
GoogleVertexMessages,
|
||||
Meta,
|
||||
MiniMax,
|
||||
Moonshot,
|
||||
ZAICodingPlan,
|
||||
} from "../src/providers.js"
|
||||
import { AmazonBedrock, GoogleVertexMessages } from "../src/providers.js"
|
||||
import * as AnthropicMessages from "../src/protocols/anthropic-messages.js"
|
||||
import * as Gemini from "../src/protocols/gemini.js"
|
||||
import * as OpenAIChat from "../src/protocols/openai-chat.js"
|
||||
@@ -118,81 +107,6 @@ describe("applyCachePolicy", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("'auto' emits cache_control markers on DigitalOcean", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: DigitalOcean.configure({ apiKey: "test" }).model("anthropic-claude-fable-5.1"),
|
||||
system: "You are concise.",
|
||||
tools: [{ name: "lookup", description: "Look up a value", inputSchema: { type: "object", properties: {} } }],
|
||||
prompt: "hi",
|
||||
}),
|
||||
)
|
||||
|
||||
expect(prepared.body).toMatchObject({
|
||||
tools: [{ type: "function", function: { name: "lookup" }, cache_control: { type: "ephemeral" } }],
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: [{ text: "You are concise.", cache_control: { type: "ephemeral" } }],
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: [{ text: "hi", cache_control: { type: "ephemeral" } }],
|
||||
},
|
||||
],
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("'auto' emits Anthropic cache markers on Anthropic-compatible routes", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
LLM.request({
|
||||
model: AnthropicCompatible.configure({ apiKey: "test", baseURL: "https://messages.example.test/v1" }).model(
|
||||
"compatible",
|
||||
),
|
||||
system: "You are concise.",
|
||||
prompt: "hi",
|
||||
}),
|
||||
)
|
||||
|
||||
expect(prepared.route).toBe("anthropic-compatible-messages")
|
||||
expect(prepared.body).toMatchObject({
|
||||
system: [{ type: "text", text: "You are concise.", cache_control: { type: "ephemeral" } }],
|
||||
messages: [{ role: "user", content: [{ type: "text", text: "hi", cache_control: { type: "ephemeral" } }] }],
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
const messagesModels = [
|
||||
["alibaba-messages", Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" }).messages("qwen3.8-max")],
|
||||
[
|
||||
"cloudflare-ai-gateway-messages",
|
||||
CloudflareAIGateway.configure({ accountId: "test", gatewayId: "test", apiKey: "test" }).model(
|
||||
"anthropic/claude-sonnet-4-6",
|
||||
),
|
||||
],
|
||||
["meta-messages", Meta.configure({ apiKey: "test" }).messages("muse-spark-1.3")],
|
||||
["minimax-messages", MiniMax.configure({ apiKey: "test" }).model("MiniMax-M3")],
|
||||
["moonshot-messages", Moonshot.configure({ apiKey: "test" }).messages("kimi-k3")],
|
||||
["zai-coding-messages", ZAICodingPlan.configure({ apiKey: "test" }).messages("glm-5.3")],
|
||||
] as const
|
||||
|
||||
messagesModels.forEach(([route, model]) =>
|
||||
it.effect(`'auto' emits cache markers on ${route}`, () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(LLM.request({ model, system: "Sys", prompt: "hi" }))
|
||||
|
||||
expect(prepared.route).toBe(route)
|
||||
expect(prepared.body).toMatchObject({
|
||||
system: [{ type: "text", text: "Sys", cache_control: { type: "ephemeral" } }],
|
||||
messages: [{ role: "user", content: [{ type: "text", text: "hi", cache_control: { type: "ephemeral" } }] }],
|
||||
})
|
||||
}),
|
||||
),
|
||||
)
|
||||
|
||||
it.effect("'auto' is a no-op on OpenAI (implicit caching protocol)", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
|
||||
@@ -147,7 +147,7 @@ describe("Anthropic Messages effort updates", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("moves a marker between a tool call and its result after the result", () =>
|
||||
it.effect("accepts a marker between a tool call and its result", () =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* compileRequest(
|
||||
LLM.request({
|
||||
@@ -166,8 +166,8 @@ describe("Anthropic Messages effort updates", () => {
|
||||
expect(prepared.body.messages).toEqual([
|
||||
{ role: "user", content: [{ type: "text", text: "Weather?" }] },
|
||||
{ role: "assistant", content: [{ type: "tool_use", id: "call_1", name: "lookup", input: {} }] },
|
||||
{ role: "user", content: [{ type: "tool_result", tool_use_id: "call_1", content: '{"temp":72}' }] },
|
||||
{ role: "system", content: [], output_config: { effort: "low" } },
|
||||
{ role: "user", content: [{ type: "tool_result", tool_use_id: "call_1", content: '{"temp":72}' }] },
|
||||
])
|
||||
}),
|
||||
)
|
||||
@@ -197,15 +197,9 @@ describe("Anthropic Messages effort updates", () => {
|
||||
["anthropic/claude-opus-5", true],
|
||||
["claude-fable-5-1", true],
|
||||
["claude-mythos-5-1", true],
|
||||
["claude-opus-5-5", true],
|
||||
["claude-sonnet-5-5", true],
|
||||
["anthropic/claude-sonnet-5-5", true],
|
||||
["claude-sonnet-6", true],
|
||||
["claude-haiku-6", true],
|
||||
["claude-fable-5", false],
|
||||
["claude-opus-4-8", false],
|
||||
["claude-sonnet-5", false],
|
||||
["claude-sonnet-5-20260801", false],
|
||||
["kimi-k2.5", false],
|
||||
] as const) {
|
||||
it.effect(`${supported ? "lowers" : "strips"} markers for ${id}`, () =>
|
||||
@@ -381,24 +375,11 @@ describe("OpenAI Responses effort updates", () => {
|
||||
["openai/gpt-6-sol", true],
|
||||
["gpt-6-luna", true],
|
||||
["openai/gpt-6-luna", true],
|
||||
["gpt-6", true],
|
||||
["gpt-6.1-sol", true],
|
||||
["openai/gpt-6.1-sol", true],
|
||||
["GPT-6.1-SOL", true],
|
||||
["gpt-6-astra-2026-09-01", true],
|
||||
["gpt-6-sol-pro", true],
|
||||
["gpt-6-luna-pro", true],
|
||||
["gpt-6-sol-fast", true],
|
||||
["gpt-7", true],
|
||||
["openai/gpt-7.2-new-family", true],
|
||||
["gpt-10.1", true],
|
||||
["gpt-5", false],
|
||||
["gpt-6-astra-2026-09-01", false],
|
||||
["gpt-6-sol-pro", false],
|
||||
["gpt-6-luna-pro", false],
|
||||
["gpt-6-sol-fast", false],
|
||||
["gpt-5.6-sol", false],
|
||||
["gpt-5.10", false],
|
||||
["not-gpt-6-sol", false],
|
||||
["gpt-6foo", false],
|
||||
["gpt-6.x-sol", false],
|
||||
["future-model", false],
|
||||
] as const) {
|
||||
it.effect(`${supported ? "lowers" : "strips"} markers for ${id}`, () =>
|
||||
Effect.gen(function* () {
|
||||
|
||||
@@ -39,18 +39,17 @@ describe("experimental Evaluation", () => {
|
||||
type: "choice",
|
||||
choice: "billing",
|
||||
probabilities: { billing: 0.9, technical: 0.1 },
|
||||
confidence: 0.8,
|
||||
})
|
||||
expect(response.answers.urgency).toEqual({
|
||||
type: "score",
|
||||
score: 1.2,
|
||||
probabilities: { "0": 0, "1": 0.8, "2": 0.2 },
|
||||
confidence: 0.6,
|
||||
})
|
||||
expect(response.answers.refund).toEqual({ type: "boolean", probability: 0.97 })
|
||||
expect(response.usage?.totalTokens).toBe(36)
|
||||
expect(response.providerMetadata).toEqual({
|
||||
typesafe: {
|
||||
confidence: { department: 0.8, urgency: 0.6 },
|
||||
legend: { urgency: { "0": "Can wait", "1": "Needs attention", "2": "Blocking" } },
|
||||
},
|
||||
})
|
||||
|
||||
@@ -26,10 +26,8 @@ const request = Evaluation.request({
|
||||
const result = EvaluationClient.evaluate(request)
|
||||
type Result = Success<typeof result>
|
||||
type Choice = Assert<Equal<Result["answers"]["topic"]["choice"], "billing" | "support">>
|
||||
type Confidence = Assert<Equal<Result["answers"]["topic"]["confidence"], number | undefined>>
|
||||
type ClientRequirements = Assert<Equal<Requirements<typeof result>, Service>>
|
||||
void (true satisfies Choice)
|
||||
void (true satisfies Confidence)
|
||||
void (true satisfies ClientRequirements)
|
||||
|
||||
Effect.gen(function* () {
|
||||
|
||||
@@ -273,56 +273,10 @@ describe("RequestExecutor", () => {
|
||||
expectAIError(error)
|
||||
expect(error.reason).toMatchObject({ _tag: "InvalidRequest" })
|
||||
expect("classification" in error.reason ? error.reason.classification : undefined).toBeUndefined()
|
||||
expect(error.message).toBe("Provider request failed with HTTP 400: invalid parameter")
|
||||
expect(error.message).toBe("Provider request failed with HTTP 400")
|
||||
}).pipe(Effect.provide(fixedResponse("invalid parameter", { status: 400 }))),
|
||||
)
|
||||
|
||||
it.effect("shows unrecognized provider error bodies", () =>
|
||||
Effect.gen(function* () {
|
||||
const executor = yield* RequestExecutor.Service
|
||||
const error = yield* executor.execute(request).pipe(Effect.flip)
|
||||
|
||||
expect(error.message).toBe(
|
||||
'Provider request failed with HTTP 422: {"object":"error","message":{"detail":[{"msg":"Input should be less than or equal to 1.5"}]}}',
|
||||
)
|
||||
}).pipe(
|
||||
Effect.provide(
|
||||
fixedResponse('{"object":"error","message":{"detail":[{"msg":"Input should be less than or equal to 1.5"}]}}', {
|
||||
status: 422,
|
||||
}),
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
it.effect("shows messages from common provider error layouts", () =>
|
||||
Effect.gen(function* () {
|
||||
const executor = yield* RequestExecutor.Service
|
||||
const error = yield* executor.execute(request).pipe(Effect.flip)
|
||||
|
||||
expect(error.message).toBe("Invalid API Key")
|
||||
}).pipe(Effect.provide(fixedResponse('{"detail":"Invalid API Key"}', { status: 401 }))),
|
||||
)
|
||||
|
||||
it.effect("truncates long unrecognized provider error bodies", () =>
|
||||
Effect.gen(function* () {
|
||||
const executor = yield* RequestExecutor.Service
|
||||
const error = yield* executor.execute(request).pipe(Effect.flip)
|
||||
|
||||
expect(error.message).toBe(`Provider request failed with HTTP 400: ${"x".repeat(2000)}…`)
|
||||
expect(error.reason.body).toHaveLength(5000)
|
||||
}).pipe(Effect.provide(fixedResponse("x".repeat(5000), { status: 400 }))),
|
||||
)
|
||||
|
||||
it.effect("does not show HTML error pages", () =>
|
||||
Effect.gen(function* () {
|
||||
const executor = yield* RequestExecutor.Service
|
||||
const error = yield* executor.execute(request).pipe(Effect.flip)
|
||||
|
||||
expect(error.message).toBe("Provider request failed with HTTP 502")
|
||||
expect(error.reason.body).toContain("Bad Gateway")
|
||||
}).pipe(Effect.provide(fixedResponse("<!DOCTYPE html><html><body>Bad Gateway</body></html>", { status: 502 }))),
|
||||
)
|
||||
|
||||
it.effect("preserves structured provider messages from large error bodies", () =>
|
||||
Effect.gen(function* () {
|
||||
const executor = yield* RequestExecutor.Service
|
||||
@@ -345,7 +299,7 @@ describe("RequestExecutor", () => {
|
||||
),
|
||||
)
|
||||
|
||||
it.effect("shows the body when structured provider messages are empty", () =>
|
||||
it.effect("falls back when structured provider messages are empty", () =>
|
||||
Effect.gen(function* () {
|
||||
const executor = yield* RequestExecutor.Service
|
||||
const error = yield* executor.execute(request).pipe(Effect.flip)
|
||||
@@ -354,7 +308,7 @@ describe("RequestExecutor", () => {
|
||||
expect(error.reason).toMatchObject({
|
||||
_tag: "InvalidRequest",
|
||||
})
|
||||
expect(error.message).toBe('Provider request failed with HTTP 400: {"error":{"message":" "}}')
|
||||
expect(error.message).toBe("Provider request failed with HTTP 400")
|
||||
}).pipe(Effect.provide(fixedResponse('{"error":{"message":" "}}', { status: 400 }))),
|
||||
)
|
||||
|
||||
|
||||
@@ -154,8 +154,8 @@ describe("public exports", () => {
|
||||
expect(XAI.model).toBeFunction()
|
||||
expect(XAI.provider.responses).toBe(XAI.responses)
|
||||
expect(XAI.provider.chat).toBe(XAI.chat)
|
||||
expect(XAI.configure({ apiKey: "fixture" }).responses("grok-4.3").route.id).toBe("xai-responses")
|
||||
expect(XAI.configure({ apiKey: "fixture" }).chat("grok-4.3").route.id).toBe("xai-chat")
|
||||
expect(XAI.configure({ apiKey: "fixture" }).responses("grok-4.3").route.id).toBe("openai-responses")
|
||||
expect(XAI.configure({ apiKey: "fixture" }).chat("grok-4.3").route.id).toBe("openai-compatible-chat")
|
||||
expect(OpenAI.configure({ apiKey: "fixture" }).image("gpt-image-2").route.id).toBe("openai-images")
|
||||
expect(OpenAI.provider.image).toBe(OpenAI.image)
|
||||
expect(Google.configure({ apiKey: "fixture" }).image("imagen-4.0-generate-001").route.id).toBe("google-images")
|
||||
@@ -197,11 +197,6 @@ describe("public exports", () => {
|
||||
expect(Google.configure({ apiKey: "fixture" }).transcription("gemini-3.5-transcribe").route.kind).toBe("stream")
|
||||
expect(Deepgram.configure({ apiKey: "fixture" }).transcription("nova-3").route.kind).toBe("inline")
|
||||
expect(AssemblyAI.configure({ apiKey: "fixture" }).transcription("universal-3-5-pro").route.kind).toBe("queued")
|
||||
expect(ElevenLabs.configure({ apiKey: "fixture" }).transcription("scribe_v2").route.id).toBe(
|
||||
"elevenlabs-transcription",
|
||||
)
|
||||
expect(ElevenLabs.configure({ apiKey: "fixture" }).transcription("scribe_v2").route.kind).toBe("inline")
|
||||
expect(ElevenLabs.provider.transcription).toBe(ElevenLabs.transcription)
|
||||
})
|
||||
|
||||
test("protocol barrels expose supported low-level routes", () => {
|
||||
|
||||
Vendored
+3
-3
@@ -10,7 +10,7 @@
|
||||
"usage"
|
||||
],
|
||||
"name": "alibaba-messages/qwen-3-7-plus-streams-thinking-disabled",
|
||||
"recordedAt": "2026-09-29T05:26:24.450Z"
|
||||
"recordedAt": "2026-09-08T03:10:57.819Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
@@ -21,14 +21,14 @@
|
||||
"headers": {
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
|
||||
"body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream"
|
||||
},
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_39067759-5f01-9b3a-b2c1-09111797f7b5\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"788\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"7\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":5,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_c4d58b4f-a61d-9d0c-a9e4-cb45d34b1120\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"7887\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":5,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
Vendored
+3
-3
@@ -10,7 +10,7 @@
|
||||
"usage"
|
||||
],
|
||||
"name": "alibaba-messages/qwen-3-7-plus-streams-thinking-enabled",
|
||||
"recordedAt": "2026-09-29T05:26:35.745Z"
|
||||
"recordedAt": "2026-09-08T03:11:03.999Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
@@ -21,14 +21,14 @@
|
||||
"headers": {
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024}}"
|
||||
"body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024}}"
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream"
|
||||
},
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_1d2b3b1a-cb68-970b-89cc-5bc4074b845a\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"thinking\",\"signature\":\"\",\"thinking\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"Thinking\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Process:\\n\\n1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". **Ident\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"ify the core question\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\":** The user wants\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to know the product\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" of \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 and\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\\n2.\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" **Identify\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the constraint:** Reply\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" with *only*\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the final\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" integer.\\n3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". **Perform\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the calculation:**\\n\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 20\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"0 = 3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"4600\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"10 = \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"1730\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndaLine truncated
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_9243d346-7958-94f1-b81a-72a33c12b5e2\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"thinking\",\"signature\":\"\",\"thinking\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"Thinking\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Process:\\n\\n1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". Identify\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the core request\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\": Calculate 1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" and return *only\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"* the final\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" integer.\\n2\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". Perform the\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" multiplication:\\n\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 20\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"0 = 3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"4600\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"10 = \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"1730\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 9 =\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 155\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"7\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thLine truncated
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
Vendored
+3
-3
@@ -9,7 +9,7 @@
|
||||
"image"
|
||||
],
|
||||
"name": "alibaba-messages/qwen-3-8-flash-reads-image-bytes",
|
||||
"recordedAt": "2026-09-29T05:26:39.160Z"
|
||||
"recordedAt": "2026-09-08T03:11:05.331Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
@@ -20,14 +20,14 @@
|
||||
"headers": {
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\",\"cache_control\":{\"type\":\"ephemeral\"}},{\"type\":\"image\",\"source\":{\"type\":\"base64\",\"media_type\":\"image/png\",\"data\":\"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 truncated
|
||||
"body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\"},{\"type\":\"image\",\"source\":{\"type\":\"base64\",\"media_type\":\"image/png\",\"data\":\"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 truncated
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream"
|
||||
},
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-flash\",\"id\":\"msg_64a9e119-56aa-9556-b522-a030e231d980\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":16,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"j\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"iggling restroom prison\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":110,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-flash\",\"id\":\"msg_84fa8c1d-57b1-9645-be64-fa27c790cdff\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":16,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"j\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"iggling restroom prison\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":110,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
Vendored
+3
-3
@@ -9,7 +9,7 @@
|
||||
"structured-output"
|
||||
],
|
||||
"name": "alibaba-messages/qwen-3-8-max-follows-a-json-schema",
|
||||
"recordedAt": "2026-09-29T05:26:41.466Z"
|
||||
"recordedAt": "2026-09-08T03:11:30.530Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
@@ -20,14 +20,14 @@
|
||||
"headers": {
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"disabled\"},\"output_config\":{\"format\":{\"type\":\"json_schema\",\"schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}}"
|
||||
"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\"}]}],\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"disabled\"},\"output_config\":{\"format\":{\"type\":\"json_schema\",\"schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}}"
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream"
|
||||
},
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_61ee9b9d-a224-9b69-98f7-9f9ea3937b41\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":18,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"{\\\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"city\\\":\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" \\\"Paris\\\"}\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_16e067c1-984b-94d3-9abb-11792d794271\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":18,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"{\\\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"city\\\":\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" \\\"Paris\\\"}\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
Vendored
+3
-3
@@ -10,7 +10,7 @@
|
||||
"tool-choice"
|
||||
],
|
||||
"name": "alibaba-messages/qwen-3-8-max-obeys-named-tool-choice",
|
||||
"recordedAt": "2026-09-29T05:26:40.212Z"
|
||||
"recordedAt": "2026-09-08T03:11:06.590Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
@@ -21,14 +21,14 @@
|
||||
"headers": {
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
|
||||
"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream"
|
||||
},
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_dab3e1c5-e75e-978d-902e-1b0a82918cff\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":45,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"name\":\"get_weather\",\"input\":{},\"id\":\"toolu_9a1c3c06a04744cc97df33a2\",\"type\":\"tool_use\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"{\\\"city\\\": \\\"Paris\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\\\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"}\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":19,\"cache_creation_input_tokens\":0,\"input_tokens\":288,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
|
||||
"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_0e8f1abf-f2bc-9a86-a6a7-14804ac17eac\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":45,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"name\":\"get_weather\",\"input\":{},\"id\":\"toolu_cf9cab33261f4709ae096d8a\",\"type\":\"tool_use\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"{\\\"city\\\": \\\"Paris\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\\\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"}\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":19,\"cache_creation_input_tokens\":0,\"input_tokens\":288,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
+7
-7
@@ -12,7 +12,7 @@
|
||||
"continuation"
|
||||
],
|
||||
"name": "alibaba-messages/qwen-3-8-max-replays-reasoning-through-a-tool-loop-and-follow-up",
|
||||
"recordedAt": "2026-09-29T05:27:12.635Z"
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||||
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@@ -23,14 +23,14 @@
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}
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{
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@@ -59,14 +59,14 @@
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"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"219 × 173 = 37887. ≤ 38000, affordable. Then call get_weather Paris.\",\"signature\":\"\"},{\"type\":\"tool_use\",\"id\":\"toolu_4b23422a5a214d5897e91ff2\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"toolu_4b23422a5a214d5897e91ff2\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"Calculation: 219 × 173 = 37,887 dollars ≤ 38,000 dollars, so it's purchasable.\\n\",\"signature\":\"\"},{\"type\":\"text\",\"text\":\"Yes, it's affordable: 219 trips × $173 = $37,887, which is within the $38,000 budget (leaving $113 to spare). Paris is currently sunny at 18°C.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What temperature did the tool report? Reply with only the temperature.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"medium\"}}"
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"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"I need to investigate this further. Let me check the details.\\n\\n219 × 173 = 37,887. Budget is 38,000. Since 37,887 ≤ 38,000, it can be covered. Call get_weather for Paris.\",\"signature\":\"\"},{\"type\":\"tool_use\",\"id\":\"toolu_5d1ba8ca72bd49889ca838f2\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"toolu_5d1ba8ca72bd49889ca838f2\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"Wait, I should have calculated it first, but the call was made anyway. Calculation: 219 × 173 = 37,887 ≤ 38,000, so it can be covered. I'll report the weather briefly.\",\"signature\":\"\"},{\"type\":\"text\",\"text\":\"Yes, it's affordable: 219 trips × $173 = $37,887, which fits within the $38,000 budget (leaving $113 to spare).\\n\\nIt's currently sunny in Paris at 18°C.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What temperature did the tool report? Reply with only the temperature.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"medium\"}}"
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Vendored
+3
-3
@@ -11,7 +11,7 @@
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"usage"
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"name": "alibaba-messages/qwen-3-8-max-streams-default-effort",
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"recordedAt": "2026-09-08T03:08:06.284Z"
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},
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"interactions": [
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{
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@@ -22,14 +22,14 @@
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}
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Vendored
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"usage"
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@@ -22,14 +22,14 @@
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"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"high\"}}"
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}
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+3
-3
@@ -11,7 +11,7 @@
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"usage"
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},
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"interactions": [
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@@ -22,14 +22,14 @@
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"headers": {
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}
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}
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]
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||||
+3
-3
@@ -11,7 +11,7 @@
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"usage"
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],
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"name": "alibaba-messages/qwen-3-8-max-streams-max-effort",
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"recordedAt": "2026-09-29T05:27:03.676Z"
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"recordedAt": "2026-09-08T03:12:36.479Z"
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},
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"interactions": [
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{
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@@ -22,14 +22,14 @@
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"headers": {
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},
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"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"max\"}}"
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"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"max\"}}"
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}
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}
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Vendored
+3
-3
@@ -11,7 +11,7 @@
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"usage"
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],
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"name": "alibaba-messages/qwen-3-8-max-streams-medium-effort",
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"recordedAt": "2026-09-29T05:26:52.626Z"
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"recordedAt": "2026-09-08T03:10:01.981Z"
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},
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"interactions": [
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{
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@@ -22,14 +22,14 @@
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"headers": {
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"content-type": "application/json"
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},
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"body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"medium\"}}"
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"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_1798c2a7-1f8d-9f9a-8d57-8fb1121762e4\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"thinking\",\"signature\":\"\",\"thinking\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" user wants me to\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" calculate 17\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"3 × 2\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"19 and reply\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" with only the final\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" integer.\\n\\n1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 × \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"219:\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" × 20\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"0 = 3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"4,60\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"0\\n17\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"3 × 1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"9 = 1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 × \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"20 - 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||||
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||||
Vendored
+3
-3
@@ -11,7 +11,7 @@
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"usage"
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"interactions": [
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||||
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@@ -22,14 +22,14 @@
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"body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_a57b8563-71fb-9248-a31e-c49d6ba38717\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"thinking\",\"signature\":\"\",\"thinking\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"We\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" need answer simple multiplication\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". We\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" already call\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". Need compute \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173*\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"219.\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"*200\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"=346\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"00; *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"19=3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"287;\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" sum 37\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"88\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"7. Final only\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" integer. Ensure\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" no extra.\\n\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"signature_delta\",\"signature\":\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"378\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"87\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":1}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":69,\"cache_creation_input_tokens\":0,\"input_tokens\":81,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
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"body": "{\"modelId\":\"global.anthropic.claude-opus-5-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"text\":\"How many positive integers below 5000 have exactly 12 positive divisors? Reply with the number only.\"}]},{\"role\":\"assistant\",\"content\":[{\"reasoningContent\":{\"reasoningText\":{\"text\":\"I need numbers under 5000 with exactly 12 divisors, based on the factorization patterns 12=12, 6·2, 4·3, 3·2·2, giving forms p^11, p^5·q, p^3·q^2, and p^2·q·r. Checking p^11, only 2^11=2048 works since 3^11 is too large, giving one solution; now I'm working through the p^5·q case starting with p=2.\\n\\nFor p^5·q, p=2 gives 35 valid q values, p=3 gives 7, p=5 gives none, totaling 42.\\n\\nFor p^3·q^2, checking each base p=2,3,5,7,11 against the bound, I get 8+5+2+2+0=17 solutions total.\\n\\nNow I'm setting up the p^2·q·r case where p, q, r are distinct primes with q<r, working through the bound qr<1250 for p=2, then qr≤555 for p=3 excluding 3, and starting the p=5 case.\\n\\nContinuing with q=11: r<113.5, giving π(113)=30, minus 5 primes ≤11 leaves 25. Then q=13: r<96.08...\\n\\nq=13: r≤96, π(96)=24, exclude 6 → 18. q=17: r≤73, π=21, exclude 7 → 14. q=19: r≤65, π=18, exclude 8 → 10. q=23: r≤54, π=16, exclude 9 → 7. q=29: r≤43, π=14, exclude 10 → 4. q=31: r≤40, π=12, exclude 11 → 1. q=37: none left since r must exceed 37. Running total after adding these: 78+50+36+25+18+14+10+7+4+1 = 221, matching my tally so far.\\n\\nNow moving to p=3, requiring q<r, both distinct from 3, with qr≤555. I work through q=2 giving 57 valid r, q=5 giving 26, q=7 giving 18, q=11 giving 10, q=13 giving 7, q=17 giving 4, q=19 giving 2, and I'm now checking q=23 where r≤24 limits things further.\\n\\nContinuing q=3 gives 8, q=5 gives 4, q=11 none, so p=7 sums to 25.\\n\\nFor p=11: q=2 gives 6, q=3 gives 3, q=5 gives 1.\\n\\nMoving to p=13: q=2 gives 4, q=3 gives 2, q=5 gives none, totaling 6. Then p=17 sums to 4, p=19 gives 2, p=23 gives 1, so the p²qr total is 460.\\n\\nAdding everything up: 1+42+17+460 = 520. Let me double-check the p=2, q=3 case where 12r<5000 means r<416.67.\\n\\n\",\"signature\":\"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 truncated
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||||
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|
||||
"method": "POST",
|
||||
"url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/global.anthropic.claude-opus-5-5/converse-stream",
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||||
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||||
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||||
"body": "{\"modelId\":\"global.anthropic.claude-opus-5-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"text\":\"How many positive integers below 5000 have exactly 12 positive divisors? Reply with the number only.\"}]},{\"role\":\"assistant\",\"content\":[{\"reasoningContent\":{\"reasoningText\":{\"text\":\"I need numbers under 5000 with exactly 12 divisors, based on the factorization patterns 12=12, 6·2, 4·3, 3·2·2, giving forms p^11, p^5·q, p^3·q^2, and p^2·q·r. Checking p^11, only 2^11=2048 works since 3^11 is too large, giving one solution; now I'm working through the p^5·q case starting with p=2.\\n\\nFor p^5·q, p=2 gives 35 valid q values, p=3 gives 7, p=5 gives none, totaling 42.\\n\\nFor p^3·q^2, checking each base p=2,3,5,7,11 against the bound, I get 8+5+2+2+0=17 solutions total.\\n\\nNow I'm setting up the p^2·q·r case where p, q, r are distinct primes with q<r, working through the bound qr<1250 for p=2, then qr≤555 for p=3 excluding 3, and starting the p=5 case.\\n\\nContinuing with q=11: r<113.5, giving π(113)=30, minus 5 primes ≤11 leaves 25. Then q=13: r<96.08...\\n\\nq=13: r≤96, π(96)=24, exclude 6 → 18. q=17: r≤73, π=21, exclude 7 → 14. q=19: r≤65, π=18, exclude 8 → 10. q=23: r≤54, π=16, exclude 9 → 7. q=29: r≤43, π=14, exclude 10 → 4. q=31: r≤40, π=12, exclude 11 → 1. q=37: none left since r must exceed 37. Running total after adding these: 78+50+36+25+18+14+10+7+4+1 = 221, matching my tally so far.\\n\\nNow moving to p=3, requiring q<r, both distinct from 3, with qr≤555. I work through q=2 giving 57 valid r, q=5 giving 26, q=7 giving 18, q=11 giving 10, q=13 giving 7, q=17 giving 4, q=19 giving 2, and I'm now checking q=23 where r≤24 limits things further.\\n\\nContinuing q=3 gives 8, q=5 gives 4, q=11 none, so p=7 sums to 25.\\n\\nFor p=11: q=2 gives 6, q=3 gives 3, q=5 gives 1.\\n\\nMoving to p=13: q=2 gives 4, q=3 gives 2, q=5 gives none, totaling 6. Then p=17 sums to 4, p=19 gives 2, p=23 gives 1, so the p²qr total is 460.\\n\\nAdding everything up: 1+42+17+460 = 520. Let me double-check the p=2, q=3 case where 12r<5000 means r<416.67.\\n\\n\",\"signature\":\"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 truncated
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|
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},
|
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"body": "{\"message\":\"The model returned the following errors: messages.1.content.0: Invalid `signature` in `thinking` block. The block is bound to a different conversation. Remove the block, or set `thinking.block_binding.prefix_mismatch_behavior` to \\\"drop_block\\\". The `system` prompt differs from the one this block was created with.\"}"
|
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}
|
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}
|
||||
]
|
||||
}
|
||||
-38
@@ -1,38 +0,0 @@
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{
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"version": 1,
|
||||
"metadata": {
|
||||
"provider": "cloudflare-ai-gateway",
|
||||
"route": "cloudflare-ai-gateway-messages",
|
||||
"transport": "http",
|
||||
"model": "claude-haiku-4-5",
|
||||
"tags": [
|
||||
"prefix:cloudflare-ai-gateway",
|
||||
"provider:cloudflare-ai-gateway",
|
||||
"text",
|
||||
"golden"
|
||||
],
|
||||
"name": "cloudflare-ai-gateway/cloudflare-ai-gateway-claude-haiku-4-5-text",
|
||||
"recordedAt": "2026-09-30T04:35:43.657Z"
|
||||
},
|
||||
"interactions": [
|
||||
{
|
||||
"transport": "http",
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "https://gateway.ai.cloudflare.com/v1/{account}/{gateway}/anthropic/v1/messages",
|
||||
"headers": {
|
||||
"anthropic-version": "2023-06-01",
|
||||
"content-type": "application/json"
|
||||
},
|
||||
"body": "{\"model\":\"claude-haiku-4-5\",\"system\":[{\"type\":\"text\",\"text\":\"You are concise.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply exactly with: Hello!\"}]}],\"stream\":true,\"max_tokens\":40,\"temperature\":0}"
|
||||
},
|
||||
"response": {
|
||||
"status": 200,
|
||||
"headers": {
|
||||
"content-type": "text/event-stream; charset=utf-8"
|
||||
},
|
||||
"body": "event: message_start\ndata: {\"p\": \"6247a7b95b5e3f\", \"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_011CfZ16hXSVRfaXBDtUBKis\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"container\":null,\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"},\"diagnostics\":null}}\n\nevent: content_block_start\ndata: {\"p\": \"f9b\", \"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"} }\n\nevent: ping\ndata: {\"p\": \"cc76aa8\", \"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"p\": \"94f\", \"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello!\"} }\n\nevent: content_block_stop\ndata: {\"p\": \"1a9d8\", \"type\":\"content_block_stop\",\"index\":0 }\n\nevent: message_delta\ndata: {\"p\": \"0cb3c23\", \"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null,\"container\":null},\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":5} }\n\nevent: message_stop\ndata: {\"p\": \"6ef9de29973ed\", \"type\":\"message_stop\" }\n\n"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
-58
@@ -1,58 +0,0 @@
|
||||
{
|
||||
"version": 1,
|
||||
"metadata": {
|
||||
"provider": "cloudflare-ai-gateway",
|
||||
"route": "cloudflare-ai-gateway-messages",
|
||||
"transport": "http",
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