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30 Commits

Author SHA1 Message Date
dadachann b5efd4f467 fix(cloud): show owner model balance and enforce single owner 2026-08-02 17:40:32 +00:00
Hyu 2cc6d10f33 fix(cloud): accept invitations with current account (#2382)
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
2026-08-02 17:13:26 +08:00
Hyu a67728c163 fix cloud monitoring and invitation sign-in (#2381)
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
2026-08-02 16:39:14 +08:00
Hyu e9c9e896c6 fix(cloud): preserve pipeline routing in debug chat (#2380)
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
2026-08-02 01:49:17 +08:00
Hyu e2331c4967 fix(cloud): restore plugins and pipeline execution (#2379)
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
2026-08-02 01:34:11 +08:00
Hyu c5aada494d fix(cloud): treat workspace owners as Space-bound (#2378)
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
2026-08-02 00:33:46 +08:00
Hyu e36e3aaea8 fix(cloud): accept null model abilities (#2377)
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
2026-08-01 18:50:47 +08:00
Hyu d64278ab3f feat(cloud): provision workspace model catalog (#2376)
* feat(cloud): provision workspace model catalog

* ci(cloud): pin model catalog adapter source

* fix: make cloud model catalog sync recoverable

* ci: pin cloud adapter source for release

---------

Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
2026-08-01 18:16:02 +08:00
dadachann 161ea9b3eb fix(cloud): restore fragment-based Space launch callback 2026-08-01 04:41:44 +00:00
dadachann c7d14676fc fix(cloud): restore disabled Box production mode 2026-08-01 04:11:17 +00:00
dadachann 2456bf1350 fix(migrations): preserve published Cloud revision head 2026-07-31 18:35:21 +00:00
dadachann 05a941ff16 Merge remote-tracking branch 'origin/deploy/prod' into release/cloud-monitoring-prod 2026-07-31 18:18:46 +00:00
dadachann 0330788d14 chore(prod): release workspace monitoring 2026-07-31 18:18:46 +00:00
Hyu d8ab0ba567 feat(telemetry): report workspace execution generation (#2374)
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
2026-08-01 02:10:59 +08:00
dadachann 473ba573a3 fix(cloud): retain launch replay records through clock skew 2026-07-30 21:37:06 +00:00
dadachann 93dbd3541e fix(cloud): make direct launch replay-safe 2026-07-30 21:02:38 +00:00
dadachann a5a26f81ee feat(auth): accept direct Space launch assertions 2026-07-30 20:05:17 +00:00
dadachann 92d9db8f95 chore(plugin): pin SDK 0.5.0 2026-07-30 20:05:17 +00:00
dadachann 59db012594 feat(cloud): enforce workspace resource quotas 2026-07-30 18:48:42 +00:00
dadachann 88f328066b fix(cloud): keep runtime sdk ahead of plugin dependencies 2026-07-30 16:42:01 +00:00
dadachann d155d9d5a8 fix(cloud): allow explicitly disabled box runtime 2026-07-30 15:42:49 +00:00
dadachann dd95545309 fix(prod): configure shared Box runtime 2026-07-30 15:17:17 +00:00
dadachann 9066c25729 fix(deploy): let migration own exact runtime ACLs 2026-07-30 14:58:31 +00:00
dadachann 6d2e9d3d72 fix(deploy): do not start disabled Box runtime 2026-07-30 14:48:51 +00:00
dadachann a0b85e11fd fix(deploy): keep runtime role schema read-only 2026-07-30 14:44:57 +00:00
dadachann 122d8fa659 fix(deploy): retry transient image pull failures 2026-07-30 14:34:20 +00:00
dadachann ace8cc67f2 fix(config): preserve typed list environment overrides 2026-07-30 14:26:41 +00:00
dadachann 52c0772806 fix(cloud): pin Space production URL and deployment health 2026-07-30 14:21:04 +00:00
dadachann d5044c2f1e fix(ci): authenticate cloud adapter checkout 2026-07-30 14:08:58 +00:00
dadachann 7baa89254c ops(cloud): deploy exact production stack to jp09 2026-07-30 13:58:37 +00:00
78 changed files with 2187 additions and 2611 deletions
+59
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@@ -0,0 +1,59 @@
name: Build and deploy production
on:
push:
branches: [deploy/prod]
workflow_dispatch:
permissions:
contents: read
concurrency:
group: langbot-production
cancel-in-progress: false
env:
CORE_IMAGE: ${{ secrets.DOCKER_USERNAME }}/langbot
CLOUD_IMAGE: ${{ secrets.DOCKER_USERNAME }}/langbot-cloud-core
SPACE_REF: 178b1634c104e635c706e1fb4ca37cb3de073cf9
jobs:
build-and-deploy:
runs-on: ubuntu-latest
environment: production
steps:
- uses: actions/checkout@v4
- uses: docker/setup-buildx-action@v3
- uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Build exact Core image
uses: docker/build-push-action@v6
with:
context: .
push: true
tags: |
${{ env.CORE_IMAGE }}:prod-${{ github.sha }}
${{ env.CORE_IMAGE }}:deploy-prod
cache-from: type=gha,scope=core-prod
cache-to: type=gha,mode=max,scope=core-prod
- name: Checkout production Cloud adapter
uses: actions/checkout@v4
with:
repository: langbot-app/langbot-space
ref: ${{ env.SPACE_REF }}
token: ${{ secrets.CLA_PAT }}
path: .space
- name: Build exact Cloud Core image
uses: docker/build-push-action@v6
with:
context: .space
file: .space/Dockerfile.cloud
push: true
build-args: LANGBOT_CORE_IMAGE=${{ env.CORE_IMAGE }}:prod-${{ github.sha }}
tags: |
${{ env.CLOUD_IMAGE }}:prod-${{ github.sha }}
${{ env.CLOUD_IMAGE }}:deploy-prod
cache-from: type=gha,scope=cloud-core-prod
cache-to: type=gha,mode=max,scope=cloud-core-prod
+97
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@@ -0,0 +1,97 @@
#!/usr/bin/env bash
set -Eeuo pipefail
cd /opt/langbot-cloud-prod
TAG=${1:?usage: deploy.sh prod-<40-char-sha>}
[[ "$TAG" =~ ^prod-[0-9a-f]{40}$ ]] || { echo 'invalid immutable image tag' >&2; exit 2; }
[[ -s .env ]] || { echo '/opt/langbot-cloud-prod/.env is missing' >&2; exit 3; }
rendered_compose=$(docker compose config)
grep -Fq 'LANGBOT_SPACE_CONTROL_PLANE_URL: https://space.langbot.app' <<<"$rendered_compose" || {
echo 'Cloud control-plane URL must be https://space.langbot.app' >&2
exit 4
}
grep -Fq 'SPACE__URL: https://space.langbot.app' <<<"$rendered_compose" || {
echo 'Cloud user-facing Space URL must be https://space.langbot.app' >&2
exit 5
}
grep -Eq 'LANGBOT_TELEMETRY_INGEST_TOKEN: .+' <<<"$rendered_compose" || {
echo 'Cloud telemetry ingest token must be configured' >&2
exit 6
}
update_env() {
local key=$1 value=$2
python3 - "$key" "$value" <<'PY'
from pathlib import Path
import os
import sys
path = Path('.env')
key, value = sys.argv[1:]
lines = path.read_text().splitlines()
updated = False
for index, line in enumerate(lines):
if line.startswith(f'{key}='):
lines[index] = f'{key}={value}'
updated = True
break
if not updated:
lines.append(f'{key}={value}')
temporary = Path('.env.tmp')
temporary.write_text('\n'.join(lines) + '\n')
os.chmod(temporary, 0o600)
temporary.replace(path)
PY
}
update_env LANGBOT_IMAGE_TAG "$TAG"
set -a
. ./.env
set +a
: "${CLOUD_V2_CONTROL_PLANE_TOKEN:?CLOUD_V2_CONTROL_PLANE_TOKEN is required}"
for attempt in 1 2 3 4 5; do
if docker compose pull postgres redis migrate plugin-runtime core; then
break
fi
if [ "$attempt" -eq 5 ]; then
echo "docker compose pull failed after $attempt attempts" >&2
exit 1
fi
delay=$((attempt * 10))
echo "docker compose pull failed (attempt $attempt/5); retrying in ${delay}s" >&2
sleep "$delay"
done
docker compose up -d postgres redis
for _ in $(seq 1 60); do
if docker compose exec -T postgres pg_isready -U langbot_operator -d langbot >/dev/null 2>&1; then break; fi
sleep 2
done
docker compose exec -T postgres pg_isready -U langbot_operator -d langbot >/dev/null
docker compose exec -T postgres psql -v ON_ERROR_STOP=1 -U langbot_operator -d langbot \
-v runtime_password="$POSTGRES_RUNTIME_PASSWORD" <<'SQL'
SELECT format('CREATE ROLE langbot_runtime LOGIN PASSWORD %L', :'runtime_password')
WHERE NOT EXISTS (SELECT 1 FROM pg_roles WHERE rolname = 'langbot_runtime')\gexec
ALTER ROLE langbot_runtime PASSWORD :'runtime_password';
GRANT CONNECT ON DATABASE langbot TO langbot_runtime;
REVOKE CREATE ON SCHEMA public FROM PUBLIC, langbot_runtime;
REVOKE ALL PRIVILEGES ON ALL TABLES IN SCHEMA public FROM langbot_runtime;
REVOKE ALL PRIVILEGES ON ALL SEQUENCES IN SCHEMA public FROM langbot_runtime;
ALTER DEFAULT PRIVILEGES FOR ROLE langbot_operator IN SCHEMA public REVOKE ALL ON TABLES FROM langbot_runtime;
ALTER DEFAULT PRIVILEGES FOR ROLE langbot_operator IN SCHEMA public REVOKE ALL ON SEQUENCES FROM langbot_runtime;
GRANT USAGE ON SCHEMA public TO langbot_runtime;
SQL
docker compose --profile tools run --rm migrate
docker compose up -d --remove-orphans plugin-runtime core
for _ in $(seq 1 90); do
if docker compose exec -T core python -c 'import urllib.request; urllib.request.urlopen("http://127.0.0.1:5300/healthz", timeout=3)' >/dev/null 2>&1; then
docker compose ps
exit 0
fi
sleep 2
done
docker compose logs --tail=200 core plugin-runtime >&2
exit 1
+162
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@@ -0,0 +1,162 @@
services:
postgres:
image: pgvector/pgvector:pg17
container_name: langbot-cloud-postgres
restart: unless-stopped
environment:
POSTGRES_DB: langbot
POSTGRES_USER: langbot_operator
POSTGRES_PASSWORD: ${POSTGRES_OPERATOR_PASSWORD}
volumes:
- postgres-data:/var/lib/postgresql/data
healthcheck:
test: [CMD-SHELL, "pg_isready -U langbot_operator -d langbot"]
interval: 5s
timeout: 5s
retries: 30
networks: [internal]
redis:
image: redis:7.4-alpine
container_name: langbot-cloud-redis
restart: unless-stopped
command: [redis-server, --appendonly, "yes", --requirepass, "${REDIS_PASSWORD}"]
volumes:
- redis-data:/data
healthcheck:
test: [CMD-SHELL, "redis-cli -a \"$${REDIS_PASSWORD}\" ping | grep PONG"]
interval: 5s
timeout: 5s
retries: 20
environment:
REDIS_PASSWORD: ${REDIS_PASSWORD}
networks: [internal]
migrate:
image: rockchin/langbot-cloud-core:${LANGBOT_IMAGE_TAG}
profiles: [tools]
command: [uv, run, langbot, migrate, --cloud]
environment: &core-env
TZ: Asia/Shanghai
SYSTEM__INSTANCE_ID: ${CLOUD_V2_INSTANCE_UUID}
SYSTEM__EDITION: cloud
SYSTEM__RECOVERY_KEY: ${SYSTEM_RECOVERY_KEY}
SYSTEM__JWT__SECRET: ${JWT_SECRET}
SYSTEM__LIMITATION__MAX_BOTS: "2"
SYSTEM__LIMITATION__MAX_PIPELINES: "3"
SYSTEM__LIMITATION__MAX_EXTENSIONS: "3"
SYSTEM__LIMITATION__MAX_KNOWLEDGE_BASES: "2"
API__WEBHOOK_PREFIX: https://cloud.langbot.app
API__WEBUI_URL: https://cloud.langbot.app
WORKSPACE__INVITATIONS__PUBLIC_WEB_URL: https://cloud.langbot.app
DATABASE__USE: postgresql
DATABASE__POSTGRESQL__URL: postgresql+asyncpg://langbot_runtime:${POSTGRES_RUNTIME_PASSWORD}@postgres:5432/langbot
DATABASE__CLOUD_MIGRATION__OPERATOR_DSN_ENV: LANGBOT_CLOUD_MIGRATION_DSN
LANGBOT_CLOUD_MIGRATION_DSN: postgresql://langbot_operator:${POSTGRES_OPERATOR_PASSWORD}@postgres:5432/langbot
VDB__USE: pgvector
VDB__PGVECTOR__USE_BUSINESS_DATABASE: "true"
VDB__PGVECTOR__ALLOWED_DIMENSIONS: "384,512,768,1024,1536"
PLUGIN__ENABLE: "true"
PLUGIN__RUNTIME_WS_URL: ws://plugin-runtime:5400/control/ws
PLUGIN__DISPLAY_PLUGIN_DEBUG_URL: wss://cloud.langbot.app/plugin/debug/ws
PLUGIN__WORKER__MAX_CPUS: "0.25"
PLUGIN__WORKER__MAX_MEMORY_MB: "256"
PLUGIN__WORKER__MAX_PIDS: "128"
PLUGIN__WORKER__MAX_WORKERS: "16"
PLUGIN__WORKER__MAX_TOTAL_CPUS: "4.0"
PLUGIN__WORKER__MAX_TOTAL_MEMORY_MB: "4096"
PLUGIN__WORKER__REQUIRE_HARD_LIMITS: "true"
LANGBOT_PLUGIN_RUNTIME_CONTROL_TOKEN: ${PLUGIN_RUNTIME_CONTROL_TOKEN}
# Cloud v2 currently grants no managed Box capability. Keep the shared
# runtime deployed but disable Core integration until a hard-quota-capable
# backend can satisfy the fail-closed Cloud readiness contract.
BOX__ENABLED: "false"
BOX__BACKEND: nsjail
BOX__RUNTIME__ENDPOINT: ws://box:5410
BOX__ADMISSION__REQUIRED: "true"
BOX__ADMISSION__LOGICAL_SESSION_ID: global
BOX__ADMISSION__REQUIRED_BACKEND: nsjail
BOX__ADMISSION__MAX_SESSIONS: "1"
BOX__ADMISSION__MAX_MANAGED_PROCESSES: "0"
BOX__ADMISSION__CPUS: "0.25"
BOX__ADMISSION__MEMORY_MB: "256"
BOX__ADMISSION__WORKSPACE_QUOTA_MB: "256"
BOX__LOCAL__HOST_ROOT: /app/data/box
BOX__LOCAL__DEFAULT_WORKSPACE: /app/data/box
BOX__LOCAL__ALLOWED_MOUNT_ROOTS: /app/data/box
LANGBOT_BOX_CONTROL_TOKEN: ${BOX_CONTROL_TOKEN}
MCP__STDIO__ENABLED: "false"
LANGBOT_SPACE_CONTROL_PLANE_URL: https://space.langbot.app
LANGBOT_SPACE_CONTROL_PLANE_TOKEN: ${CLOUD_V2_CONTROL_PLANE_TOKEN}
LANGBOT_TELEMETRY_INGEST_TOKEN: ${CLOUD_V2_CONTROL_PLANE_TOKEN}
LANGBOT_SPACE_CONTROL_PLANE_PUBLIC_KEY: ${CLOUD_V2_MANIFEST_PUBLIC_KEY}
LANGBOT_SPACE_CONTROL_PLANE_KEY_ID: ${CLOUD_V2_MANIFEST_KEY_ID}
SPACE__URL: https://space.langbot.app
depends_on:
postgres: {condition: service_healthy}
networks: [internal]
plugin-runtime:
image: rockchin/langbot:${LANGBOT_IMAGE_TAG}
container_name: langbot-cloud-plugin-runtime
restart: unless-stopped
command: [uv, run, python, -m, langbot_plugin.cli.__init__, rt]
environment:
LANGBOT_PLUGIN_RUNTIME_CONTROL_TOKEN: ${PLUGIN_RUNTIME_CONTROL_TOKEN}
volumes:
- plugin-data:/app/data
- /sys/fs/cgroup:/sys/fs/cgroup:rw
cgroup: host
privileged: true
expose: ["5400"]
networks: [internal]
box:
image: rockchin/langbot:${LANGBOT_IMAGE_TAG}
container_name: langbot-cloud-box
restart: unless-stopped
command: [uv, run, lbp, box, --host, 0.0.0.0, --ws-control-port, "5410"]
environment:
LANGBOT_BOX_CONTROL_TOKEN: ${BOX_CONTROL_TOKEN}
LANGBOT_BOX_ROOT: /app/data/box
volumes:
- box-data:/app/data/box
- /sys/fs/cgroup:/sys/fs/cgroup:rw
cgroup: host
privileged: true
expose: ["5410"]
networks: [internal]
core:
image: rockchin/langbot-cloud-core:${LANGBOT_IMAGE_TAG}
container_name: langbot-cloud-core
restart: unless-stopped
environment: *core-env
volumes:
- core-data:/app/data
- box-data:/app/data/box
depends_on:
postgres: {condition: service_healthy}
redis: {condition: service_healthy}
plugin-runtime: {condition: service_started}
box: {condition: service_started}
expose: ["5300"]
healthcheck:
test: [CMD-SHELL, "python -c 'import urllib.request; urllib.request.urlopen(\"http://127.0.0.1:5300/healthz\", timeout=3)'" ]
interval: 10s
timeout: 5s
retries: 30
start_period: 30s
networks: [internal, shared-network]
networks:
internal:
shared-network:
external: true
volumes:
postgres-data:
redis-data:
plugin-data:
box-data:
core-data:
@@ -1,476 +0,0 @@
# 模型思考控制设计方案
> 日期:2026-07-31
> 状态:Phase 1 已审核并实现
> 范围:LangBot 主仓库的模型配置、LiteLLM 请求层、Local Agent、Web 管理面板、监控与测试
## 1. 结论
建议为 LangBot 增加一套与厂商参数解耦的“思考策略”模型,并明确区分三个概念:
1. **思考能力**:模型是否支持思考,以及支持开关、档位还是 token 预算。
2. **思考策略**:一次请求选择厂商默认、关闭、开启或指定思考档位。
3. **思考展示**:是否把模型返回的思考内容展示给最终用户。
现有 `remove-think` 只属于第 3 类。它会过滤输出,但不会阻止模型思考,也不会降低思考 token、费用或延迟。新能力不应复用或改写这个字段。
推荐实现原则:
- 默认值为 `provider_default`,不向上游增加任何新参数,现有模型行为完全不变。
- 用户显式选择的策略必须被准确执行;无法准确执行时返回明确错误,不静默降级。
- LangBot 内部只保存统一策略,Provider 请求层负责翻译成各厂商参数。
- `extra_args` 保留为高级逃生口,但不能成为主 UI 的思考配置方式。
- 模型页只管理并展示能力;可写策略归属于 Local Agent 流水线,同一模型可在不同业务中使用不同思考量。
- 原始 reasoning 数据与展示文本分开保存,保证多轮对话、工具调用和签名字段不丢失。
## 2. 调研结论
### 2.1 可验证资料
本次结论基于以下可验证来源:
- OpenAI 官方 Reasoning Guide`reasoning.effort` 的可选值由模型决定,可包括 `none``minimal``low``medium``high``xhigh``max`;低档位偏向低延迟和低 token,高档位偏向质量。
- https://developers.openai.com/api/docs/guides/reasoning#reasoning-effort
- LangBot 锁定的 LiteLLM `1.88.1` 实现。`uv.lock` 已锁定该版本,本地缓存中的适配代码可以确认 LangBot 实际依赖所支持的翻译行为。
- LangBot 当前实现:模型级 `extra_args` 会在 `LiteLLMRequester._build_completion_args()` 中直接合并到 `acompletion()` 参数。
Anthropic、Google 和 LiteLLM 的官方文档域名在本次环境中被浏览器策略禁止访问,因此下表中这些厂商的结论以 LiteLLM `1.88.1` 实际适配代码为准。实施前应再用对应厂商官方文档做一次参数范围核验,尤其是模型代际和允许值。
### 2.2 厂商差异矩阵
| Provider / 生态 | 可控制能力 | LiteLLM 1.88.1 统一入口 | 关键限制 | 建议支持级别 |
| --- | --- | --- | --- | --- |
| OpenAI | 思考档位,部分模型支持 `none` | `reasoning_effort` | 每个模型支持的档位不同,不能把 `none` 当成通用能力 | 首批完整支持 |
| Anthropic | 旧模型使用 extended thinking + token budget;新模型可用 adaptive thinking + effort | `reasoning_effort``thinking` | `none` 表示不发送 thinking;新旧模型的映射不同 | 首批完整支持 |
| Gemini | 2.x 主要映射为 `thinkingBudget`3.x 主要映射为 `thinkingLevel` | `reasoning_effort``thinking` | Gemini 3 的 `none` 可能只能降到最低档,不能保证真正关闭 | 首批支持,但严格限制关闭语义 |
| DeepSeek | 开启/关闭;当前适配不支持预算档位 | `thinking={type: enabled}`;非 `none` effort 会映射成开启 | 多轮思考模式要求回传 `reasoning_content` | 首批开关支持 |
| xAI | 思考档位 | `reasoning_effort` | 仅 reasoning-capable 模型接受 | 首批完整支持 |
| Ollama | `think` 布尔值;部分模型接受 low/medium/high | `reasoning_effort` | 非 gpt-oss 模型的档位可能退化为布尔开关 | 首批支持,按模型能力裁剪 UI |
| OpenRouter | 聚合多厂商的 reasoning 参数 | `reasoning_effort``thinking` | 实际能力由路由后的模型决定 | 首批支持,能力未知时要求测试 |
| Volcengine / Doubao | `thinking.type` 支持 enabled/disabled/auto | LiteLLM `volcengine` 适配器支持 `thinking` | LangBot 当前 manifest 使用 `openai`,不会进入该适配器 | 第二批,先修正路由并回归 |
| Bailian / Qwen | 厂商兼容接口有独立思考开关/预算 | LiteLLM `dashscope` 适配器目前未提供统一 reasoning 映射 | LangBot 当前 manifest 使用 `openai`,只能通过高级参数透传 | 第二批,实施前核对官方字段 |
| 其他 OpenAI-compatible 网关 | 取决于网关 | 尝试标准 `reasoning_effort` | 不能仅凭模型名推断完整能力 | 保守支持,默认不自动开启 |
### 2.3 对 LangBot 的直接含义
不能把这个功能实现成单一 `enable_thinking: bool`,原因如下:
- 有的模型只有开关,有的模型只有档位,有的模型允许精确 token 预算。
- 有的模型本身始终推理,只能降低思考量,无法真正关闭。
- 同一个通用档位在不同厂商会映射成不同的实际预算。
- 聚合网关和自定义 OpenAI-compatible 服务无法可靠地通过模型名识别能力。
- “不展示思考内容”不等于“关闭思考”。
## 3. 当前项目现状
### 3.1 已有能力
- `LLMModel.extra_args` 是 JSON 字段,Web 端已有通用高级参数编辑器。
- `LiteLLMRequester` 会按“模型级 `extra_args`,再调用级 `extra_args`”的顺序合并参数。
- LiteLLM 已统一处理多个 Provider 的 `reasoning_effort``thinking` 和返回的 `reasoning_content`
- `LocalAgentRunner` 的非流式、流式、工具调用和 fallback 路径都经过 `RuntimeProvider.invoke_llm*()`
- `remove-think` 已能控制 `<think>` 或独立 reasoning 内容是否进入展示文本。
- Gemini 工具调用所需的 `provider_specific_fields` / thought signature 已有保留逻辑和单元测试。
### 3.2 现有缺口
- 管理员只能手写 `extra_args`,没有统一语义、能力提示和校验。
- `remove-think` 名称容易被误解为关闭模型思考。
- 模型扫描只识别 `vision``func_call`,没有 reasoning 能力。
- 当前返回处理会把 `reasoning_content` 拼进 `<think>` 文本后删除原字段,可能损失多轮思考所需的结构化数据。
- DeepSeek 思考模式需要在后续轮次回传 `reasoning_content`,当前链路不能保证完整保留。
- Pipeline 只能选择模型,不能针对业务覆盖模型的思考策略。
- 监控只记录总输入/输出 token,没有单独展示 reasoning token。
- 部分 Provider manifest 仍声明为通用 `openai`,导致 LiteLLM 的厂商专用翻译器不会生效。
### 3.3 预计改动地图
| 层 | 主要文件 | 责任 |
| --- | --- | --- |
| 持久化 | `src/langbot/pkg/entity/persistence/model.py``src/langbot/pkg/persistence/alembic/versions/` | 新增 `reasoning_config` JSON 列和 Alembic 迁移 |
| 模型服务 | `src/langbot/pkg/api/http/service/model.py` | CRUD 校验、冲突检测、测试模型时使用统一策略 |
| HTTP 控制器 | `src/langbot/pkg/api/http/controller/groups/provider/models.py` | 继续复用现有模型路由,不新增平行 API |
| 模型管理 | `src/langbot/pkg/provider/modelmgr/modelmgr.py` | 临时模型、数据库模型与扫描结果加载新字段 |
| 请求抽象 | `src/langbot/pkg/provider/modelmgr/requester.py` | 定义能力查询和 reasoning 参数构建接口 |
| LiteLLM 适配 | `src/langbot/pkg/provider/modelmgr/requesters/litellmchat.py` | 能力识别、策略翻译、参数合并、reasoning 返回保留 |
| Provider manifest | `src/langbot/pkg/provider/modelmgr/requesters/*.yaml` | 必要时修正 Provider 路由;相关变更放到独立阶段 |
| Agent 调用 | `src/langbot/pkg/provider/runners/localagent.py` | 所有非流式、流式、工具调用、fallback 路径传递统一策略 |
| Pipeline 元数据 | `src/langbot/templates/metadata/pipeline/ai.yaml` | 第二阶段加入 Pipeline 级覆盖 |
| 输出配置 | `src/langbot/templates/metadata/pipeline/output.yaml` | 保留键名,澄清 `remove-think` 只控制展示 |
| Web 类型/API | `web/src/app/infra/entities/api/index.ts``web/src/app/infra/http/BackendClient.ts` | 增加配置与能力响应类型 |
| 模型 UI | `web/src/app/home/components/models-dialog/` | 能力标记、策略控件、校验、模型测试 |
| i18n | `web/src/i18n/locales/` | 至少补齐英文、简体中文及项目已有覆盖语言 |
| 测试 | `tests/unit_tests/provider/``web/tests/` | 翻译、服务、流式 round-trip、前端状态测试 |
Phase 1 不修改 `langbot-plugin-sdk` 的公共实体或运行时协议。现有 `provider_message.Message.provider_specific_fields` 已可承载 Provider 原始 reasoning 数据;只有后续要把 reasoning 升级为跨插件公开实体时,才需要跨仓库 SDK 变更。
## 4. 领域模型
### 4.1 统一策略
新增 `ReasoningConfig`,保存于 LLM 模型,Pipeline 可提供同结构覆盖。产品层只暴露一个离散档位:
```json
{
"level": "provider_default"
}
```
字段定义:
| 字段 | 类型 | 含义 |
| --- | --- | --- |
| `level` | `provider_default \| disabled \| enabled \| minimal \| low \| medium \| high \| xhigh \| max` | 同时表达开关和思考强度 |
校验规则:
- `provider_default`:不发送任何 reasoning 参数,保持厂商和模型默认行为。
- `disabled`:明确关闭;仅当模型可真正关闭时允许保存/运行。
- `enabled`:明确开启,但由 Provider 决定具体强度,适用于只有开关的模型。
- `minimal``max`:明确开启,并指定强度;仅允许选择模型实际支持的档位。
- 厂商的 `auto` 统一映射为 `provider_default`,不再增加一个重复状态。
- 精确 token 预算不进入主数据结构。少数需要预算的场景继续通过高级参数配置,并由模型测试接口校验。
### 4.2 能力描述
沿用现有 `LLMModel.abilities`,新增 `reasoning` 能力标记。同时由后端在 API 返回中计算只读的 `reasoning_capabilities`
```json
{
"supported": true,
"controls": ["toggle", "effort"],
"efforts": ["none", "low", "medium", "high"],
"can_disable": true,
"source": "litellm"
}
```
设计约束:
- `abilities` 仍是用户可编辑的粗粒度能力,符合现有 `vision``func_call` 模式。
- `reasoning_capabilities` 不持久化,优先从 LiteLLM 模型元数据计算,避免模型升级后数据库残留过期能力。
- 无法识别的自定义模型返回 `supported: null``source: unknown`,不猜测。
- 用户可手动添加 `reasoning` ability,但未知能力模型必须先通过“测试模型”验证显式策略。
- UI 只展示后端声明可用的控件;未知模型保留 Provider Default 和高级参数入口。
### 4.3 持久化
`llm_models` 表新增 JSON 列:
```text
reasoning_config JSON NOT NULL DEFAULT {"level":"provider_default"}
```
使用 Alembic 新迁移,不修改冻结的 legacy migration。
该列作为已实现版本的兼容字段保留;新的模型页不再提供写入口,Local Agent 请求以流水线中按模型 UUID 保存的策略为准。
不建议把内部策略塞进 `extra_args`,原因是当前 `extra_args` 会原样发送给 LiteLLM;使用保留键会让内部元数据泄漏到上游,并使高级参数与产品配置难以区分。
## 5. 配置优先级与请求流程
### 5.1 优先级
```text
Pipeline 当前候选模型策略
↓ 缺少配置时固定为 provider_default
Provider / 模型默认行为
```
请求参数合并顺序:
```text
基础参数
-> 模型 extra_args
-> 调用级 extra_args
-> 统一 reasoning 策略翻译结果(最后应用)
```
统一策略最后应用,可以确保流水线行为不受模型页历史设置影响。为了避免用户困惑,保存和测试时要检测 `extra_args` 中的冲突字段;当 `level != provider_default` 时,发现以下字段应直接报错:
- `reasoning_effort`
- `thinking`
- `reasoning`
- `extra_body` 内已知的 `thinking``enable_thinking``thinking_budget` 等字段
`level == provider_default` 时继续允许这些高级参数,保证旧配置兼容。
### 5.2 翻译层
`pkg/provider/modelmgr/` 内新增独立的 reasoning 规范化模块,职责是:
1. 读取当前流水线候选模型的请求级策略。
2. 查询 `ProviderAPIRequester.get_reasoning_capabilities(model)`
3. 严格校验策略是否可以准确执行。
4. 生成 LiteLLM 参数,不直接发 HTTP。
5. 返回可观测的“最终生效策略”供日志和测试使用。
建议接口:
```python
class ProviderAPIRequester:
def get_reasoning_capabilities(self, model: RuntimeLLMModel) -> ReasoningCapabilities: ...
def build_reasoning_args(
self,
model: RuntimeLLMModel,
config: ReasoningConfig,
) -> dict[str, Any]: ...
```
LiteLLMRequester 默认优先生成统一参数:
- 强度档位:`reasoning_effort=<level>`
- 仅开启:`thinking={"type":"enabled"}` 或 Provider 等价参数
- 关闭:优先 `reasoning_effort="none"`
- 高级参数中的精确预算:`thinking={"type":"enabled","budget_tokens":N}`
Provider 特例只放在 requester 翻译层,不进入 Pipeline 或平台适配器。
### 5.3 Provider 特例
- **Gemini 3**:如果 LiteLLM 能力表不能确认真正关闭,`disabled` 必须报“不支持关闭,可选择 Provider Default 或最低档”,不能把 `none` 静默映射成 low/minimal。
- **DeepSeek**:所有非 `none` 档位最终都只是开启。能力 API 只返回 `toggle`,UI 不显示档位;多轮必须保存并回传 `reasoning_content`
- **Ollama**:仅对明确支持等级的模型展示 effort;其他模型只展示开关。
- **OpenRouter**:以路由后的模型能力为准。模型未知时允许 Provider Default,显式策略必须通过测试接口。
- **Volcengine**:使用 `thinking.type=enabled/disabled/auto`。应先让该 requester 进入 LiteLLM `volcengine` 适配器,或增加等价的明确翻译,不能依赖模型名。
- **Bailian/Qwen**:作为第二批 Provider 专用翻译。实施前核对官方字段、模型范围、预算上下限和流式返回结构,不凭经验写接口。
## 6. 返回数据与思考展示
### 6.1 保留原始 reasoning
当前 `LiteLLMRequester` 会读取 `reasoning_content`,将其拼接成 `<think>` 文本,再删除原字段。建议改为:
```text
上游 reasoning_content
├─ 原样保存在 Message.provider_specific_fields.reasoning_content
└─ 根据 remove-think 决定是否渲染为 <think>...</think>
```
流式路径需要在 accumulator 中分别累计 `content``reasoning_content`,最终消息必须携带结构化 reasoning。不能只依赖已经渲染的 `<think>` 文本反向解析。
这样可以同时满足:
- `remove-think=true` 时用户看不到思考内容,但多轮协议仍能回传必要数据。
- `remove-think=false` 时保持当前用户体验。
- DeepSeek 多轮 thinking 不丢上下文。
- Gemini thought signature、Anthropic thinking block 等 Provider 字段可以继续按结构化方式 round-trip。
### 6.2 现有字段处理
保留数据库和 Pipeline 配置键 `remove-think`,避免破坏兼容。Web 文案改为更准确的:
- 中文:`向用户展示思考过程`
- 英文:`Show reasoning process`
UI 使用正向开关,保存时转换回 `remove-think = !showReasoning`。文案必须强调它只影响展示,不影响模型是否思考、token 或费用。
## 7. Web 管理面板
### 7.1 模型编辑
模型页只承担能力管理和只读展示:
1. `Reasoning` ability 复选框与 Vision、Function Calling 并列,供无法自动识别的自定义模型手动声明能力。
2. 模型卡片使用简短图标或 badge 标识 reasoning 能力。
3. 模型页不提供可写思考挡位,避免模型默认值与流水线策略形成两个控制源。
### 7.2 Local Agent 流水线策略
在 Local Agent 的主模型和每一个 fallback 模型下分别显示紧凑离散滑杆:
1. `Provider 默认` 始终为首个选项;选择它时不向上游增加任何思考参数。
2. 完整档位顺序为:`Provider 默认 / 关闭 / 开启 / 最低 / 低 / 中 / 高 / 极高 / 最大`
3. 前端只渲染后端为该模型返回的可用档位;仅开关模型显示 `Provider 默认 / 关闭 / 开启`
4. 模型不能真正关闭时不提供 `关闭`;能力未知时只显示不可调的 `Provider 默认`
5. 主模型和 fallback 分别保存策略,切换候选模型时不会把一个模型的挡位错误应用到另一个模型。
6. Dify、Coze、Langflow、n8n 等外部 Runner 不显示该控件,因为 LangBot 不直接发起其内部模型请求。
流水线配置保持旧格式兼容,并在模型选择对象中增加按 UUID 保存的映射:
```json
{
"model": {
"primary": "primary-model-uuid",
"fallbacks": ["fallback-model-uuid"],
"reasoning": {
"primary-model-uuid": "high"
}
}
}
```
`provider_default` 不写入映射;缺少 `reasoning` 的旧流水线天然等价于全部使用 Provider 默认。
滑杆交互要求:轨道使用现有主色和中性灰,不使用渐变;当前档位同时显示文字;支持键盘方向键和正确的 ARIA value text;窄屏下不溢出。
### 7.3 i18n
新增文案至少覆盖 `en_US``zh_Hans``ja_JP` 在模型面板现有同类字段已覆盖时同步补齐。不要把厂商参数名直接作为用户文案。
## 8. API、MCP 与 Skill
### 8.1 HTTP API
模型 CRUD 增加:
- 请求字段:`reasoning_config`
- 响应字段:`reasoning_config`
- 只读字段:`reasoning_capabilities`
模型测试接口必须使用与真实请求完全相同的规范化和翻译逻辑,并在失败时返回可操作错误,例如:
```text
Model gemini-3-... cannot disable reasoning.
Supported controls: effort=[low, medium, high].
```
可选增加只读调试信息,仅在测试接口返回:
```json
{
"effective_reasoning": {
"level": "low",
"translated_keys": ["reasoning_effort"]
}
}
```
不得返回 API key、完整请求正文或原始思考内容。
### 8.2 MCP 与技能
当前 MCP 仅列出模型 Provider,没有完整模型 CRUD 工具。如果本次不新增 agent-accessible HTTP 操作,则无需强行新增 MCP 工具。
如果后续让 Agent 修改模型思考策略,则必须同一提交更新:
- `src/langbot/pkg/api/mcp/server.py`
- 对应的 `skills/` 文档
- 参数 schema 和安全说明
## 9. 监控与可观测性
控制思考量后,管理员需要判断质量、延迟和成本是否值得。建议第二阶段增加:
- `reasoning_tokens`:从 `completion_tokens_details.reasoning_tokens` 或 Provider 等价字段提取。
- `effective_reasoning_level`:记录规范化后的生效档位,不记录原始思考内容。
- 模型监控页展示输入 token、可见输出 token、reasoning token、总延迟。
- Provider 不返回细分 token 时显示未知,不推算。
安全要求:日志、监控、debug API 默认都不得记录 reasoning 原文。思考内容可能包含敏感信息或系统提示,不应因为新增配置而扩大持久化范围。
## 10. 兼容与迁移
### 10.1 数据迁移
- 所有现有 LLM 记录迁移为 `{"level":"provider_default"}`
- 不自动解析或迁移现有 `extra_args` 中的 reasoning 参数,避免误判嵌套结构和 Provider 语义。
- UI 检测到旧 `extra_args` reasoning 字段时显示“由高级参数控制”,统一策略保持 Provider Default。
- 用户主动改成统一策略时,要求先移除冲突高级参数。
### 10.2 运行时兼容
- `provider_default` 不产生任何新增请求参数。
- 不改变现有 `remove-think` 的存储键和默认值。
- 不改变已有 Provider 的 `litellm_provider`,除非该 Provider 在专项回归后单独切换。
- `drop_params` 不能用于掩盖显式 reasoning 配置错误;显式策略被丢弃应视为失败。
- 自托管和 toB 环境中的自定义兼容接口保持可用,未知能力不阻止 Provider Default 请求。
## 11. 实施拆分
### Phase 1:统一基础设施与主流 Provider
- Alembic 增加 `llm_models.reasoning_config`
- Backend 模型实体、CRUD、测试接口支持统一配置。
- LiteLLMRequester 增加能力查询、严格校验和参数翻译。
- 支持 OpenAI、Anthropic、Gemini、DeepSeek、xAI、Ollama、OpenRouter 的已验证 LiteLLM 路径。
- 修复结构化 reasoning 的非流式/流式保留。
- 模型面板增加 reasoning ability 与只读能力标识。
- Local Agent 主模型和每个 fallback 增加独立的请求级策略。
### Phase 2:国内 Provider
- 专项核对并支持 Volcengine/Doubao、Bailian/Qwen。
- 对相关 requester 的 `litellm_provider` 变更做独立回归,避免把 reasoning 功能和通用请求行为回归混在一起。
- 补齐扫描结果中的 reasoning capability。
### Phase 3:监控与评估
- 持久化 reasoning token 和生效策略。
- 监控页增加 reasoning 成本/延迟指标。
- 建立不同 effort 的离线质量、首 token 延迟、总耗时和 token 对比基线。
## 12. 测试方案
### 12.1 单元测试
- `ReasoningConfig` 所有合法/非法组合。
- `provider_default` 不产生任何新增参数。
- 显式配置覆盖模型/调用 `extra_args` 的顺序。
- reasoning 配置与高级参数冲突时拒绝。
- OpenAI 档位原样映射。
- Anthropic 档位映射,以及高级参数预算兼容。
- Gemini 2 budget、Gemini 3 level,以及不支持真正关闭时拒绝。
- DeepSeek 只显示/接受 toggle,非 `none` effort 不伪装成不同档位。
- Ollama 布尔与分级模型差异。
- Volcengine enabled/disabled/auto 翻译。
- 未知 Provider 只允许 Provider Default,或在显式测试后使用标准参数。
- 非流式 `reasoning_content` 保存到 `provider_specific_fields`
- 流式 reasoning 分片累计后仍能 round-trip。
- Gemini thought signature 和工具调用现有测试不能回归。
### 12.2 服务与持久化测试
- 新建、读取、更新模型的 `reasoning_config`
- Alembic 从当前 head 升级后默认值正确。
- 模型测试接口与真实 Local Agent 使用同一翻译函数。
- 旧模型、旧 `extra_args``remove-think` 行为不变。
### 12.3 前端测试
- 能力不同的模型显示正确控件。
- 离散滑杆只能停在后端返回的可用档位。
- 当前档位文字、键盘操作和 ARIA value text 正确。
- 仅开关模型、不可关闭模型、完整档位模型分别显示正确刻度。
- fallback 能力不兼容时阻止保存并给出明确提示。
- 中英文文案完整,移动端 Popover 不溢出。
### 12.4 Provider 冒烟测试
至少选取以下真实或可控 mock
- 一个支持 `none` 的 OpenAI reasoning 模型。
- 一个不支持 `none` 的 reasoning 模型。
- 一个 Anthropic adaptive thinking 模型。
- 一个 Gemini 2.x 与一个 Gemini 3.x 模型。
- 一个 DeepSeek hybrid thinking 模型,执行两轮含工具调用对话。
- 一个 Ollama 本地 reasoning 模型。
- 一个 OpenAI-compatible 自定义网关,验证 Provider Default 完全不变。
每个模型比较 Provider Default、最低档、中档、高档或关闭,记录成功率、首 token 延迟、总耗时、总 token 和 reasoning token(若可用)。
## 13. 风险与控制
| 风险 | 影响 | 控制措施 |
| --- | --- | --- |
| 将“最低思考”误当成“关闭” | 用户以为节省了成本,实际仍在推理 | `can_disable` 严格校验,不静默降级 |
| 模型能力表过期 | 新模型无法配置或旧模型报错 | 能力未知时保守;允许测试;升级 LiteLLM 时回归 |
| 高 effort 导致延迟/费用陡增 | 用户体验和预算风险 | 默认 Provider DefaultUI 提示;后续监控 reasoning token |
| `extra_args` 与统一配置冲突 | 实际生效值不可预测 | 保存/测试时拒绝冲突;统一策略最后应用 |
| reasoning 原文进入日志 | 敏感信息泄露 | 不记录原文,只记录策略和 token |
| 多轮 reasoning 丢失 | 工具调用或后续轮次失败/降质 | 结构化保存并 round-trip;流式专项测试 |
| 修改 Provider 路由造成通用回归 | 非 reasoning 请求也受影响 | 国内 Provider 路由放第二阶段,独立提交和回归 |
## 14. 需要审核确认的决策
1. **是否同意三层分离**:能力、策略、展示互不替代,保留 `remove-think` 仅控制展示。
2. **是否同意严格语义**:显式关闭无法准确执行时直接报错,不自动降为最低思考。
3. **是否同意请求级配置**:流水线按模型 UUID 保存挡位,不把产品配置塞进 `extra_args`
4. **是否同意 Runner 边界**:仅 Local Agent 展示控制项,外部 Runner 由其外部系统管理模型策略。
5. **是否同意保守默认**:所有现有模型迁移为 Provider Default,不自动开启、关闭或迁移旧高级参数。
6. **是否把结构化 reasoning 保留纳入第一阶段**:这是 DeepSeek 多轮和工具调用正确性的必要条件,建议必须纳入。
## 15. 推荐审核结果
建议按以上 6 项全部通过,并将 Phase 1 作为一个完整功能单元实施。不要只增加前端开关或只在 `extra_args` 中写 `reasoning_effort`;那样虽然改动小,但会继续混淆展示与推理、无法处理 Provider 差异,也无法保证多轮对话正确性。
+2 -2
View File
@@ -1,6 +1,6 @@
[project]
name = "langbot"
version = "4.10.6"
version = "4.10.7"
description = "Production-grade platform for building agentic IM bots"
readme = "README.md"
license-files = ["LICENSE"]
@@ -71,7 +71,7 @@ dependencies = [
"chromadb>=1.0.0,<2.0.0",
"qdrant-client (>=1.15.1,<2.0.0)",
"pyseekdb==1.1.0.post3",
"langbot-plugin @ git+https://github.com/langbot-app/langbot-plugin-sdk.git@1d65ed301a6afc52150a998043f73cd6032c8162",
"langbot-plugin @ git+https://github.com/langbot-app/langbot-plugin-sdk.git@101e453e916b39465a6294d6471c9eaae8725d5c",
"asyncpg>=0.30.0",
"line-bot-sdk>=3.19.0",
"matrix-nio>=0.25.2",
-2
View File
@@ -19,7 +19,6 @@ class Permission(enum.StrEnum):
WORKSPACE_VIEW = 'workspace.view'
WORKSPACE_UPDATE = 'workspace.update'
WORKSPACE_DELETE = 'workspace.delete'
OWNER_TRANSFER = 'owner.transfer'
MEMBER_VIEW = 'member.view'
MEMBER_INVITE = 'member.invite'
MEMBER_UPDATE_ROLE = 'member.update_role'
@@ -49,7 +48,6 @@ _ROLE_PERMISSIONS: typing.Final = types.MappingProxyType(
if permission
not in {
Permission.WORKSPACE_DELETE,
Permission.OWNER_TRANSFER,
Permission.BILLING_LINK_MANAGE,
}
),
@@ -62,7 +62,6 @@ class AuthType(enum.Enum):
_SUPPORT_ADMIN_DENIED_PERMISSIONS = frozenset(
{
Permission.OWNER_TRANSFER.value,
Permission.MEMBER_VIEW.value,
Permission.MEMBER_INVITE.value,
Permission.MEMBER_UPDATE_ROLE.value,
@@ -285,8 +285,25 @@ class UserRouterGroup(group.RouterGroup):
request_context.workspace_uuid,
)
owner = await self.ap.user_service.get_workspace_owner(access.workspace.uuid)
owner_space_bound = bool(owner and owner.space_account_uuid)
credits = await self.ap.space_service.get_credits(owner.user) if owner_space_bound else None
cloud_mode = getattr(getattr(self.ap, 'deployment', None), 'mode', 'oss') == 'cloud'
owner_has_local_space_credentials = bool(owner and owner.space_account_uuid)
# Cloud Accounts authenticate through LangBot Account, so every projected
# Workspace owner is already bound even when this Core has no local OAuth
# token row (model billing uses the owner's control-plane API key).
owner_space_bound = cloud_mode or owner_has_local_space_credentials
if cloud_mode:
catalog_service = getattr(self.ap, 'cloud_model_catalog_service', None)
credits = (
catalog_service.get_workspace_credits(access.workspace.uuid)
if catalog_service is not None
else None
)
else:
credits = (
await self.ap.space_service.get_credits(owner.user)
if owner is not None and owner.space_account_uuid
else None
)
return self.success(
data={
'credits': credits,
@@ -302,8 +319,10 @@ class UserRouterGroup(group.RouterGroup):
return self.success(data={'initialized': False})
capabilities = await self.ap.user_service.get_login_capabilities()
if getattr(getattr(self.ap, 'deployment', None), 'mode', 'oss') == 'cloud':
cloud_mode = getattr(getattr(self.ap, 'deployment', None), 'mode', 'oss') == 'cloud'
if cloud_mode:
capabilities['password_login_enabled'] = False
capabilities['authenticated_invitation_acceptance_enabled'] = cloud_mode
return self.success(data={'initialized': True, **capabilities})
@self.route('/set-password', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+86 -76
View File
@@ -5,11 +5,11 @@ import uuid
import sqlalchemy
from langbot_plugin.api.entities.builtin.provider import message as provider_message
from ....cloud.model_catalog import LANGBOT_MODELS_PROVIDER_REQUESTER
from ....core import app
from ....entity.persistence import model as persistence_model
from ....entity.persistence import pipeline as persistence_pipeline
from ....provider.modelmgr import requester as model_requester
from ....provider.modelmgr import reasoning as model_reasoning
from ....workspace.errors import WorkspaceNotFoundError
from .secrets import mask_secret_value, redact_secrets, restore_secret_placeholders
from .tenant import TenantContext, require_workspace_uuid, scope_statement
@@ -55,53 +55,6 @@ def _redact_model_secrets(model_data: dict) -> dict:
return redacted
def _normalize_llm_reasoning(model_data: dict) -> None:
model_data['reasoning_config'] = model_reasoning.validate_reasoning_config(
model_data.get('reasoning_config'),
model_data.get('abilities'),
model_data.get('extra_args'),
)
def _validate_llm_reasoning_capability(
model_entity: persistence_model.LLMModel,
runtime_provider: model_requester.RuntimeProvider,
) -> None:
config = model_reasoning.normalize_reasoning_config(model_entity.reasoning_config)
if config['level'] == 'provider_default':
return
runtime_model = model_requester.RuntimeLLMModel(
execution_context=runtime_provider.execution_context,
model_entity=model_entity,
provider=runtime_provider,
)
capabilities = runtime_provider.requester.get_reasoning_capabilities(runtime_model)
model_reasoning.validate_reasoning_capabilities(config, capabilities, model_entity.name)
def _reasoning_capabilities(ap: app.Application, model: persistence_model.LLMModel) -> dict:
model_mgr = getattr(ap, 'model_mgr', None)
runtime_models = getattr(model_mgr, 'llm_model_dict', {}) if model_mgr is not None else {}
for runtime_model in runtime_models.values():
if (
runtime_model.model_entity.uuid == model.uuid
and runtime_model.model_entity.workspace_uuid == model.workspace_uuid
):
return runtime_model.provider.requester.get_reasoning_capabilities(runtime_model)
return model_reasoning.default_reasoning_capabilities(
supported='reasoning' in (model.abilities or []),
source='manual' if 'reasoning' in (model.abilities or []) else 'unknown',
)
def _serialize_llm_model(ap: app.Application, model: persistence_model.LLMModel) -> dict:
model_dict = ap.persistence_mgr.serialize_model(persistence_model.LLMModel, model)
model_dict['reasoning_config'] = model_reasoning.normalize_reasoning_config(model_dict.get('reasoning_config'))
model_dict['reasoning_capabilities'] = _reasoning_capabilities(ap, model)
return model_dict
async def _validate_provider_supports(
ap: app.Application,
context: TenantContext,
@@ -161,6 +114,23 @@ async def _require_workspace_provider(
return provider
def _is_cloud_runtime(ap: app.Application) -> bool:
mode = getattr(ap.persistence_mgr, 'mode', None)
return getattr(mode, 'value', None) == 'cloud_runtime'
async def _assert_cloud_managed_provider_mutable(
ap: app.Application,
context: TenantContext,
provider_uuid: str,
) -> None:
if not _is_cloud_runtime(ap):
return
provider = await _require_workspace_provider(ap, context, provider_uuid)
if provider.get('requester') == LANGBOT_MODELS_PROVIDER_REQUESTER:
raise ValueError('LangBot Models is managed by Cloud and cannot be modified')
async def _require_runtime_provider(
ap: app.Application,
context: TenantContext,
@@ -195,7 +165,7 @@ class LLMModelsService:
models_list = []
for model in models:
model_dict = _serialize_llm_model(self.ap, model)
model_dict = self.ap.persistence_mgr.serialize_model(persistence_model.LLMModel, model)
provider = providers.get(model.provider_uuid)
if provider:
provider_dict = self.ap.persistence_mgr.serialize_model(persistence_model.ModelProvider, provider)
@@ -226,7 +196,7 @@ class LLMModelsService:
)
)
models = result.all()
serialized = [_serialize_llm_model(self.ap, model) for model in models]
serialized = [self.ap.persistence_mgr.serialize_model(persistence_model.LLMModel, m) for m in models]
return serialized if include_secret else [_redact_model_secrets(model) for model in serialized]
async def create_llm_model(
@@ -261,18 +231,15 @@ class LLMModelsService:
model_data['provider_uuid'] = provider_uuid
await _require_workspace_provider(self.ap, context, model_data['provider_uuid'])
await _assert_cloud_managed_provider_mutable(self.ap, context, model_data['provider_uuid'])
await _validate_provider_supports(self.ap, context, model_data['provider_uuid'], 'llm')
_normalize_llm_reasoning(model_data)
runtime_provider = await _require_runtime_provider(self.ap, context, model_data['provider_uuid'])
model_entity = persistence_model.LLMModel(**model_data)
_validate_llm_reasoning_capability(model_entity, runtime_provider)
await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_model.LLMModel).values(**model_data))
runtime_provider = await _require_runtime_provider(self.ap, context, model_data['provider_uuid'])
runtime_llm_model = await self.ap.model_mgr.load_llm_model_with_provider(
context,
model_entity,
persistence_model.LLMModel(**model_data),
runtime_provider,
)
await self.ap.model_mgr.cache_llm_model(context, runtime_llm_model)
@@ -320,7 +287,7 @@ class LLMModelsService:
if model is None:
return None
model_dict = _serialize_llm_model(self.ap, model)
model_dict = self.ap.persistence_mgr.serialize_model(persistence_model.LLMModel, model)
# Get provider
provider_result = await self.ap.persistence_mgr.execute_async(
@@ -343,11 +310,17 @@ class LLMModelsService:
return model_dict
async def update_llm_model(self, context: TenantContext, model_uuid: str, model_data: dict) -> None:
async def update_llm_model(
self,
context: TenantContext,
model_uuid: str,
model_data: dict,
) -> None:
"""Update an existing LLM model"""
existing_model = await self.get_llm_model(context, model_uuid, include_secret=True)
if existing_model is None:
raise WorkspaceNotFoundError('Model not found')
await _assert_cloud_managed_provider_mutable(self.ap, context, existing_model['provider_uuid'])
model_data = model_data.copy()
model_data.pop('uuid', None)
model_data.pop('workspace_uuid', None)
@@ -373,20 +346,9 @@ class LLMModelsService:
provider_uuid = model_data.get('provider_uuid', existing_model['provider_uuid'])
await _require_workspace_provider(self.ap, context, provider_uuid)
await _assert_cloud_managed_provider_mutable(self.ap, context, provider_uuid)
await _validate_provider_supports(self.ap, context, provider_uuid, 'llm')
merged_model_data = {
key: value
for key, value in {**existing_model, **model_data, 'provider_uuid': provider_uuid}.items()
if key not in {'provider', 'created_at', 'updated_at', 'reasoning_capabilities'}
}
_normalize_llm_reasoning(merged_model_data)
model_data['reasoning_config'] = merged_model_data['reasoning_config']
runtime_provider = await _require_runtime_provider(self.ap, context, provider_uuid)
model_entity = persistence_model.LLMModel(**_runtime_model_data(model_uuid, merged_model_data))
_validate_llm_reasoning_capability(model_entity, runtime_provider)
result = await self.ap.persistence_mgr.execute_async(
scope_statement(
sqlalchemy.update(persistence_model.LLMModel)
@@ -400,15 +362,30 @@ class LLMModelsService:
raise WorkspaceNotFoundError('Model not found')
await self.ap.model_mgr.remove_llm_model(context, model_uuid)
runtime_provider = await _require_runtime_provider(self.ap, context, provider_uuid)
runtime_llm_model = await self.ap.model_mgr.load_llm_model_with_provider(
context,
model_entity,
persistence_model.LLMModel(
**_runtime_model_data(
model_uuid,
{
key: value
for key, value in {**existing_model, **model_data, 'provider_uuid': provider_uuid}.items()
if key not in {'provider', 'created_at', 'updated_at'}
},
)
),
runtime_provider,
)
await self.ap.model_mgr.cache_llm_model(context, runtime_llm_model)
async def delete_llm_model(self, context: TenantContext, model_uuid: str) -> None:
"""Delete an LLM model"""
if _is_cloud_runtime(self.ap):
existing_model = await self.get_llm_model(context, model_uuid, include_secret=True)
if existing_model is None:
raise WorkspaceNotFoundError('Model not found')
await _assert_cloud_managed_provider_mutable(self.ap, context, existing_model['provider_uuid'])
result = await self.ap.persistence_mgr.execute_async(
scope_statement(
sqlalchemy.delete(persistence_model.LLMModel).where(persistence_model.LLMModel.uuid == model_uuid),
@@ -430,7 +407,6 @@ class LLMModelsService:
raise WorkspaceNotFoundError('Model not found')
runtime_llm_model = await self.ap.model_mgr.get_model_by_uuid(context, model_uuid)
else:
_normalize_llm_reasoning(model_data)
runtime_llm_model = await self.ap.model_mgr.init_temporary_runtime_llm_model(context, model_data)
extra_args = model_data.get('extra_args', {})
@@ -503,7 +479,10 @@ class EmbeddingModelsService:
return serialized if include_secret else [_redact_model_secrets(model) for model in serialized]
async def create_embedding_model(
self, context: TenantContext, model_data: dict, preserve_uuid: bool = False
self,
context: TenantContext,
model_data: dict,
preserve_uuid: bool = False,
) -> str:
"""Create a new embedding model"""
model_data = model_data.copy()
@@ -527,6 +506,7 @@ class EmbeddingModelsService:
model_data['provider_uuid'] = provider_uuid
await _require_workspace_provider(self.ap, context, model_data['provider_uuid'])
await _assert_cloud_managed_provider_mutable(self.ap, context, model_data['provider_uuid'])
await _validate_provider_supports(self.ap, context, model_data['provider_uuid'], 'text-embedding')
await self.ap.persistence_mgr.execute_async(
@@ -585,11 +565,17 @@ class EmbeddingModelsService:
return model_dict
async def update_embedding_model(self, context: TenantContext, model_uuid: str, model_data: dict) -> None:
async def update_embedding_model(
self,
context: TenantContext,
model_uuid: str,
model_data: dict,
) -> None:
"""Update an existing embedding model"""
existing_model = await self.get_embedding_model(context, model_uuid, include_secret=True)
if existing_model is None:
raise WorkspaceNotFoundError('Model not found')
await _assert_cloud_managed_provider_mutable(self.ap, context, existing_model['provider_uuid'])
model_data = model_data.copy()
model_data.pop('uuid', None)
model_data.pop('workspace_uuid', None)
@@ -614,6 +600,7 @@ class EmbeddingModelsService:
provider_uuid = model_data.get('provider_uuid', existing_model['provider_uuid'])
await _require_workspace_provider(self.ap, context, provider_uuid)
await _assert_cloud_managed_provider_mutable(self.ap, context, provider_uuid)
await _validate_provider_supports(self.ap, context, provider_uuid, 'text-embedding')
result = await self.ap.persistence_mgr.execute_async(
@@ -648,6 +635,11 @@ class EmbeddingModelsService:
async def delete_embedding_model(self, context: TenantContext, model_uuid: str) -> None:
"""Delete an embedding model"""
if _is_cloud_runtime(self.ap):
existing_model = await self.get_embedding_model(context, model_uuid, include_secret=True)
if existing_model is None:
raise WorkspaceNotFoundError('Model not found')
await _assert_cloud_managed_provider_mutable(self.ap, context, existing_model['provider_uuid'])
result = await self.ap.persistence_mgr.execute_async(
scope_statement(
sqlalchemy.delete(persistence_model.EmbeddingModel).where(
@@ -740,7 +732,12 @@ class RerankModelsService:
serialized = [self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, m) for m in models]
return serialized if include_secret else [_redact_model_secrets(model) for model in serialized]
async def create_rerank_model(self, context: TenantContext, model_data: dict, preserve_uuid: bool = False) -> str:
async def create_rerank_model(
self,
context: TenantContext,
model_data: dict,
preserve_uuid: bool = False,
) -> str:
"""Create a new rerank model"""
model_data = model_data.copy()
if not preserve_uuid:
@@ -763,6 +760,7 @@ class RerankModelsService:
model_data['provider_uuid'] = provider_uuid
await _require_workspace_provider(self.ap, context, model_data['provider_uuid'])
await _assert_cloud_managed_provider_mutable(self.ap, context, model_data['provider_uuid'])
await _validate_provider_supports(self.ap, context, model_data['provider_uuid'], 'rerank')
await self.ap.persistence_mgr.execute_async(
@@ -821,11 +819,17 @@ class RerankModelsService:
return model_dict
async def update_rerank_model(self, context: TenantContext, model_uuid: str, model_data: dict) -> None:
async def update_rerank_model(
self,
context: TenantContext,
model_uuid: str,
model_data: dict,
) -> None:
"""Update an existing rerank model"""
existing_model = await self.get_rerank_model(context, model_uuid, include_secret=True)
if existing_model is None:
raise WorkspaceNotFoundError('Model not found')
await _assert_cloud_managed_provider_mutable(self.ap, context, existing_model['provider_uuid'])
model_data = model_data.copy()
model_data.pop('uuid', None)
model_data.pop('workspace_uuid', None)
@@ -850,6 +854,7 @@ class RerankModelsService:
provider_uuid = model_data.get('provider_uuid', existing_model['provider_uuid'])
await _require_workspace_provider(self.ap, context, provider_uuid)
await _assert_cloud_managed_provider_mutable(self.ap, context, provider_uuid)
await _validate_provider_supports(self.ap, context, provider_uuid, 'rerank')
result = await self.ap.persistence_mgr.execute_async(
@@ -884,6 +889,11 @@ class RerankModelsService:
async def delete_rerank_model(self, context: TenantContext, model_uuid: str) -> None:
"""Delete a rerank model"""
if _is_cloud_runtime(self.ap):
existing_model = await self.get_rerank_model(context, model_uuid, include_secret=True)
if existing_model is None:
raise WorkspaceNotFoundError('Model not found')
await _assert_cloud_managed_provider_mutable(self.ap, context, existing_model['provider_uuid'])
result = await self.ap.persistence_mgr.execute_async(
scope_statement(
sqlalchemy.delete(persistence_model.RerankModel).where(
@@ -5,6 +5,7 @@ import traceback
import sqlalchemy
from ....cloud.model_catalog import LANGBOT_MODELS_PROVIDER_REQUESTER
from ....core import app
from ....entity.persistence import model as persistence_model
from ....workspace.errors import WorkspaceNotFoundError
@@ -20,6 +21,20 @@ class ModelProviderService:
def __init__(self, ap: app.Application) -> None:
self.ap = ap
def _is_cloud_runtime(self) -> bool:
mode = getattr(self.ap.persistence_mgr, 'mode', None)
return getattr(mode, 'value', None) == 'cloud_runtime'
def _system_requester_is_reserved(self, requester: object) -> bool:
return self._is_cloud_runtime() and requester == LANGBOT_MODELS_PROVIDER_REQUESTER
async def _assert_provider_mutable(self, context: TenantContext, provider_uuid: str) -> None:
if not self._is_cloud_runtime():
return
provider = await self.get_provider(context, provider_uuid)
if provider is not None and self._system_requester_is_reserved(provider.get('requester')):
raise ValueError('LangBot Models is managed by Cloud and cannot be modified')
@staticmethod
def _normalize_api_keys(api_keys: str | list[str] | tuple[str, ...] | None) -> list[str]:
if api_keys is None:
@@ -99,6 +114,8 @@ class ModelProviderService:
async def create_provider(self, context: TenantContext, provider_data: dict) -> str:
"""Create a new provider"""
provider_data = provider_data.copy()
if self._system_requester_is_reserved(provider_data.get('requester')):
raise ValueError('space-chat-completions is reserved for the Cloud-managed LangBot Models provider')
provider_data['uuid'] = str(uuid.uuid4())
provider_data['workspace_uuid'] = require_workspace_uuid(context)
provider_data['api_keys'] = self._normalize_api_keys(
@@ -115,7 +132,10 @@ class ModelProviderService:
async def update_provider(self, context: TenantContext, provider_uuid: str, provider_data: dict) -> None:
"""Update an existing provider"""
await self._assert_provider_mutable(context, provider_uuid)
provider_data = provider_data.copy()
if self._system_requester_is_reserved(provider_data.get('requester')):
raise ValueError('space-chat-completions is reserved for the Cloud-managed LangBot Models provider')
provider_data.pop('uuid', None)
provider_data.pop('workspace_uuid', None)
if 'api_keys' in provider_data:
@@ -145,6 +165,7 @@ class ModelProviderService:
async def delete_provider(self, context: TenantContext, provider_uuid: str) -> None:
"""Delete a provider (only if no models reference it)"""
await self._assert_provider_mutable(context, provider_uuid)
workspace_uuid = require_workspace_uuid(context)
# Check if any models use this provider
llm_result = await self.ap.persistence_mgr.execute_async(
@@ -245,6 +266,8 @@ class ModelProviderService:
api_keys: list,
) -> str:
"""Find existing provider or create new one"""
if self._system_requester_is_reserved(requester):
raise ValueError('space-chat-completions is reserved for the Cloud-managed LangBot Models provider')
workspace_uuid = require_workspace_uuid(context)
api_keys = self._normalize_api_keys(restore_secret_placeholders(api_keys, sensitive=True))
+13 -2
View File
@@ -13,6 +13,7 @@ from typing import Any, Protocol, runtime_checkable
from ..workspace.policy import CloudWorkspacePolicy, SingleWorkspacePolicy
from .directory import DirectoryProjectionProvider, directory_projection_limits_from_config
from .entitlements import EntitlementProvider, OpenSourceEntitlementProvider
from .model_catalog import CloudModelCatalogProvider
CLOUD_BOOTSTRAP_ENTRY_POINT = 'langbot.cloud_bootstrap'
@@ -50,6 +51,7 @@ class OpenSourceDeployment:
)
directory_provider: None = None
manifest_provider: None = None
model_catalog_provider: None = None
persistence_mode: str = 'oss_compat'
required_vector_backend: str | None = None
@@ -80,6 +82,7 @@ class VerifiedCloudDeployment:
entitlement_provider: EntitlementProvider
directory_provider: DirectoryProjectionProvider
manifest_provider: CloudManifestProvider
model_catalog_provider: CloudModelCatalogProvider
verification_key_id: str
mode: str = dataclasses.field(default='cloud', init=False)
workspace_policy: CloudWorkspacePolicy = dataclasses.field(default_factory=CloudWorkspacePolicy, init=False)
@@ -110,6 +113,8 @@ class VerifiedCloudDeployment:
raise CloudBootstrapError('Verified Cloud bootstrap did not provide a directory adapter')
if not isinstance(self.manifest_provider, CloudManifestProvider):
raise CloudBootstrapError('Verified Cloud bootstrap did not provide a Manifest renewal adapter')
if not isinstance(self.model_catalog_provider, CloudModelCatalogProvider):
raise CloudBootstrapError('Verified Cloud bootstrap did not provide a model catalog adapter')
def validate_instance_config(self, config: dict[str, Any]) -> None:
try:
@@ -138,8 +143,14 @@ class VerifiedCloudDeployment:
if plugin_worker.get('require_hard_limits') is not True:
raise CloudBootstrapError('Cloud Runtime requires plugin.worker.require_hard_limits=true')
box_config = config.get('box', {})
if box_config.get('enabled') is not True:
raise CloudBootstrapError('Cloud runtime requires box.enabled=true')
box_enabled = box_config.get('enabled')
if box_enabled is False:
# Explicitly disabling Box removes the sandbox surface entirely and
# therefore does not weaken tenant isolation. Validate the strict
# runtime/admission contract only when the surface is enabled.
return
if box_enabled is not True:
raise CloudBootstrapError('Cloud runtime requires box.enabled to be an explicit boolean')
if box_config.get('backend') != 'nsjail':
raise CloudBootstrapError('Cloud runtime requires box.backend=nsjail')
runtime_endpoint = str(box_config.get('runtime', {}).get('endpoint', '') or '').strip()
+327
View File
@@ -0,0 +1,327 @@
from __future__ import annotations
import asyncio
import uuid
from datetime import datetime
from typing import Any, Literal, Protocol, runtime_checkable
import sqlalchemy
from pydantic import BaseModel, ConfigDict, Field, SecretStr, field_validator
from ..entity.persistence import model as persistence_model
LANGBOT_MODELS_PROVIDER_REQUESTER = 'space-chat-completions'
LANGBOT_MODELS_PROVIDER_NAME = 'LangBot Models'
_MODEL_RESOURCE_NAMESPACE = uuid.UUID('94c703ca-1df5-4e91-bcd3-74ac65cb7921')
_SUPPORTED_CATEGORIES = {'chat', 'embedding', 'rerank'}
_MODEL_TABLES = (
persistence_model.LLMModel,
persistence_model.EmbeddingModel,
persistence_model.RerankModel,
)
class CloudModelCatalogItem(BaseModel):
model_config = ConfigDict(extra='forbid', frozen=True)
uuid: str = Field(min_length=1, max_length=255)
model_id: str = Field(min_length=1, max_length=255)
category: Literal['chat', 'embedding', 'rerank']
llm_abilities: tuple[str, ...] = ()
is_featured: bool = False
featured_order: int = 0
@field_validator('llm_abilities', mode='before')
@classmethod
def normalize_missing_abilities(cls, value: Any) -> Any:
return () if value is None else value
@field_validator('llm_abilities')
@classmethod
def validate_abilities(cls, value: tuple[str, ...]) -> tuple[str, ...]:
if any(not item.strip() or len(item) > 64 for item in value):
raise ValueError('Model abilities must be non-empty strings of at most 64 characters')
if len(set(value)) != len(value):
raise ValueError('Model abilities must be unique')
return value
class CloudWorkspaceModelBilling(BaseModel):
model_config = ConfigDict(extra='forbid', frozen=True)
workspace_uuid: str = Field(min_length=36, max_length=36)
owner_account_uuid: str | None = Field(default=None, min_length=36, max_length=36)
api_key: SecretStr | None = None
credits: int | None = None
@field_validator('workspace_uuid')
@classmethod
def validate_uuid(cls, value: str) -> str:
return str(uuid.UUID(value))
@field_validator('owner_account_uuid')
@classmethod
def validate_optional_uuid(cls, value: str | None) -> str | None:
return None if value is None else str(uuid.UUID(value))
class CloudModelCatalogSnapshot(BaseModel):
model_config = ConfigDict(extra='forbid', frozen=True)
instance_uuid: str = Field(min_length=1, max_length=255)
generated_at: datetime
base_url: str = Field(min_length=1, max_length=512)
models: tuple[CloudModelCatalogItem, ...]
workspaces: tuple[CloudWorkspaceModelBilling, ...]
@field_validator('base_url')
@classmethod
def validate_base_url(cls, value: str) -> str:
normalized = value.rstrip('/')
if not normalized.startswith('https://'):
raise ValueError('Cloud model gateway base URL must use HTTPS')
return normalized
@field_validator('models')
@classmethod
def validate_models(cls, value: tuple[CloudModelCatalogItem, ...]) -> tuple[CloudModelCatalogItem, ...]:
if len(value) > 500:
raise ValueError('Cloud model catalog exceeds 500 models')
identities = {(item.category, item.uuid) for item in value}
if len(identities) != len(value):
raise ValueError('Cloud model catalog contains duplicate model identities')
return value
@field_validator('workspaces')
@classmethod
def validate_workspaces(
cls, value: tuple[CloudWorkspaceModelBilling, ...]
) -> tuple[CloudWorkspaceModelBilling, ...]:
if len(value) > 10_000:
raise ValueError('Cloud model catalog exceeds 10000 Workspaces')
identities = {item.workspace_uuid for item in value}
if len(identities) != len(value):
raise ValueError('Cloud model catalog contains duplicate Workspaces')
return value
@runtime_checkable
class CloudModelCatalogProvider(Protocol):
async def fetch_model_catalog(self, instance_uuid: str) -> CloudModelCatalogSnapshot:
"""Fetch and verify the complete model catalog and Workspace billing projection."""
...
def system_provider_uuid(workspace_uuid: str) -> str:
workspace = str(uuid.UUID(workspace_uuid))
return str(uuid.uuid5(_MODEL_RESOURCE_NAMESPACE, f'{workspace}:provider:{LANGBOT_MODELS_PROVIDER_REQUESTER}'))
def system_model_uuid(workspace_uuid: str, category: str, upstream_uuid: str) -> str:
workspace = str(uuid.UUID(workspace_uuid))
if category not in _SUPPORTED_CATEGORIES:
raise ValueError(f'Unsupported model category: {category}')
if not upstream_uuid:
raise ValueError('Upstream model UUID is required')
return str(uuid.uuid5(_MODEL_RESOURCE_NAMESPACE, f'{workspace}:model:{category}:{upstream_uuid}'))
class CloudModelCatalogSyncService:
"""Reconcile Space-owned model catalog and Owner billing tokens into every Cloud Workspace."""
def __init__(
self,
ap: Any,
provider: CloudModelCatalogProvider,
instance_uuid: str,
*,
sync_interval_seconds: float = 3600.0,
) -> None:
if not isinstance(provider, CloudModelCatalogProvider):
raise TypeError('Cloud model catalog sync requires a CloudModelCatalogProvider')
if sync_interval_seconds < 10:
raise ValueError('Cloud model catalog sync interval must be at least 10 seconds')
self.ap = ap
self.provider = provider
self.instance_uuid = instance_uuid
self.sync_interval_seconds = float(sync_interval_seconds)
# A tenant UoW commits one Workspace at a time. Keep a durable in-memory
# convergence marker so a failed runtime reload is retried even when the
# following database reconciliation is a no-op.
self._runtime_reload_pending = False
self._workspace_credits: dict[str, int | None] = {}
def get_workspace_credits(self, workspace_uuid: str) -> int | None:
"""Return the latest signed owner-credit projection for a Workspace."""
return self._workspace_credits.get(str(uuid.UUID(workspace_uuid)))
async def initialize(self) -> None:
await self.sync_once(reload_runtime=False)
async def run(self) -> None:
while True:
await asyncio.sleep(self.sync_interval_seconds)
try:
await self.sync_once(reload_runtime=True)
except asyncio.CancelledError:
raise
except Exception as exc:
# Exception messages can contain rendered SQL bound values,
# including provider API keys. Log only the exception class.
self.ap.logger.warning(f'Cloud model catalog synchronization failed ({type(exc).__name__})')
async def sync_once(self, *, reload_runtime: bool = True) -> dict[str, int]:
summary = {'workspaces': 0, 'created': 0, 'updated': 0, 'deleted': 0}
snapshot: CloudModelCatalogSnapshot | None = None
sync_error: Exception | None = None
reload_error: Exception | None = None
try:
snapshot = await self.provider.fetch_model_catalog(self.instance_uuid)
if snapshot.instance_uuid != self.instance_uuid:
raise ValueError('Cloud model catalog targets another LangBot instance')
bindings = await self.ap.workspace_service.list_active_execution_bindings()
billing_by_workspace = {item.workspace_uuid: item for item in snapshot.workspaces}
missing = sorted(
binding.workspace_uuid for binding in bindings if binding.workspace_uuid not in billing_by_workspace
)
if missing:
raise ValueError(
f'Cloud model catalog is missing billing projections for {len(missing)} active Workspaces'
)
for binding in bindings:
counts = await self._sync_workspace(
binding.workspace_uuid,
snapshot,
billing_by_workspace[binding.workspace_uuid],
)
summary['workspaces'] += 1
workspace_changed = any(counts[key] > 0 for key in ('created', 'updated', 'deleted'))
if workspace_changed:
# _sync_workspace returns only after its tenant UoW commits.
self._runtime_reload_pending = True
for key in ('created', 'updated', 'deleted'):
summary[key] += counts[key]
self._workspace_credits[binding.workspace_uuid] = billing_by_workspace[binding.workspace_uuid].credits
except Exception as exc:
sync_error = exc
finally:
model_mgr = getattr(self.ap, 'model_mgr', None)
if reload_runtime and self._runtime_reload_pending and model_mgr is not None:
try:
await model_mgr.load_models_from_db()
except Exception as exc:
reload_error = exc
else:
self._runtime_reload_pending = False
if sync_error is not None:
if reload_error is not None:
raise sync_error from reload_error
raise sync_error
if reload_error is not None:
raise reload_error
changed = any(summary[key] > 0 for key in ('created', 'updated', 'deleted'))
if changed and snapshot is not None:
self.ap.logger.info(
'Cloud model catalog synchronized '
f'({summary["workspaces"]} Workspaces, {len(snapshot.models)} models, '
f'created={summary["created"]}, updated={summary["updated"]}, deleted={summary["deleted"]})'
)
return summary
async def _sync_workspace(
self,
workspace_uuid: str,
snapshot: CloudModelCatalogSnapshot,
billing: CloudWorkspaceModelBilling,
) -> dict[str, int]:
counts = {'created': 0, 'updated': 0, 'deleted': 0}
provider_uuid = system_provider_uuid(workspace_uuid)
desired_keys = [billing.api_key.get_secret_value()] if billing.api_key is not None else []
async with self.ap.persistence_mgr.tenant_uow(workspace_uuid) as uow:
provider = await uow.session.scalar(
sqlalchemy.select(persistence_model.ModelProvider).where(
persistence_model.ModelProvider.uuid == provider_uuid
)
)
provider_values = {
'workspace_uuid': workspace_uuid,
'name': LANGBOT_MODELS_PROVIDER_NAME,
'requester': LANGBOT_MODELS_PROVIDER_REQUESTER,
'base_url': snapshot.base_url,
'api_keys': desired_keys,
}
if provider is None:
provider = persistence_model.ModelProvider(uuid=provider_uuid, **provider_values)
uow.session.add(provider)
await uow.session.flush()
counts['created'] += 1
elif self._update_entity(provider, provider_values):
counts['updated'] += 1
existing_by_table: dict[type, dict[str, Any]] = {}
for table in _MODEL_TABLES:
rows = (
await uow.session.scalars(sqlalchemy.select(table).where(table.provider_uuid == provider_uuid))
).all()
existing_by_table[table] = {row.uuid: row for row in rows}
desired_ids: dict[type, set[str]] = {table: set() for table in _MODEL_TABLES}
for item in snapshot.models:
table, values = self._model_values(workspace_uuid, provider_uuid, item)
model_uuid = system_model_uuid(workspace_uuid, item.category, item.uuid)
desired_ids[table].add(model_uuid)
existing = existing_by_table[table].get(model_uuid)
if existing is None:
uow.session.add(table(uuid=model_uuid, **values))
counts['created'] += 1
elif self._update_entity(existing, values):
counts['updated'] += 1
for table, entities in existing_by_table.items():
for model_uuid, entity in entities.items():
if model_uuid not in desired_ids[table]:
await uow.session.delete(entity)
counts['deleted'] += 1
return counts
@staticmethod
def _update_entity(entity: Any, values: dict[str, Any]) -> bool:
changed = False
for key, value in values.items():
if getattr(entity, key) != value:
setattr(entity, key, value)
changed = True
return changed
@staticmethod
def _model_values(
workspace_uuid: str,
provider_uuid: str,
item: CloudModelCatalogItem,
) -> tuple[type, dict[str, Any]]:
ranking = 100 - item.featured_order if item.is_featured else 0
common = {
'workspace_uuid': workspace_uuid,
'name': item.model_id,
'provider_uuid': provider_uuid,
'extra_args': {},
'prefered_ranking': ranking,
}
if item.category == 'chat':
return persistence_model.LLMModel, {
**common,
'abilities': list(item.llm_abilities),
'context_length': None,
}
if item.category == 'embedding':
return persistence_model.EmbeddingModel, common
if item.category == 'rerank':
return persistence_model.RerankModel, common
raise ValueError(f'Unsupported model category: {item.category}')
+9 -3
View File
@@ -54,6 +54,7 @@ from ..cloud import launch as cloud_launch_module
from ..cloud import support_admin as cloud_support_admin_module
from ..cloud import directory_projection as cloud_directory_projection_module
from ..cloud import entitlements as cloud_entitlements_module
from ..cloud import model_catalog as cloud_model_catalog_module
from ..api.http.context import ExecutionContext, PrincipalContext, PrincipalType
@@ -142,13 +143,12 @@ class Application:
deployment: cloud_bootstrap_module.OpenSourceDeployment | cloud_bootstrap_module.VerifiedCloudDeployment = None
deployment_admission: cloud_bootstrap_module.DeploymentAdmissionGuard = None
directory_projection_service: cloud_directory_projection_module.DirectoryProjectionService | None = None
cloud_model_catalog_service: cloud_model_catalog_module.CloudModelCatalogSyncService | None = None
manifest_refresh_service: cloud_bootstrap_module.CloudManifestRefreshService | None = None
entitlement_resolver: cloud_entitlements_module.EntitlementResolver | None = None
directory_projection_service: cloud_directory_projection_module.DirectoryProjectionService | None = None
vector_db_mgr: vectordb_mgr.VectorDBManager = None
http_ctrl: http_controller.HTTPController = None
@@ -306,6 +306,12 @@ class Application:
name='cloud-directory-projection',
scopes=[core_entities.LifecycleControlScope.APPLICATION],
)
if self.cloud_model_catalog_service is not None:
self.task_mgr.create_task(
self.cloud_model_catalog_service.run(),
name='cloud-model-catalog-sync',
scopes=[core_entities.LifecycleControlScope.APPLICATION],
)
if self.manifest_refresh_service is not None:
self.task_mgr.create_task(
self.manifest_refresh_service.run(),
+11
View File
@@ -46,6 +46,7 @@ from ...cloud import support_admin as cloud_support_admin_module
from ...cloud.directory import directory_projection_limits_from_config
from ...cloud.directory_projection import DirectoryProjectionService
from ...cloud.entitlements import EntitlementResolver
from ...cloud.model_catalog import CloudModelCatalogSyncService
from ...api.http.context import ExecutionContext, PrincipalContext, PrincipalType
from ...api.http.authz import WorkspaceRequiredError
@@ -176,6 +177,16 @@ class BuildAppStage(stage.BootingStage):
# of repeating tenant validation for every manager.
await workspace_service_inst.prime_startup_execution_bindings()
if not isinstance(deployment, cloud_bootstrap.VerifiedCloudDeployment):
raise RuntimeError('Multi-Workspace runtime requires a verified Cloud deployment')
cloud_model_catalog_service = CloudModelCatalogSyncService(
ap,
deployment.model_catalog_provider,
constants.instance_id,
)
await cloud_model_catalog_service.initialize()
ap.cloud_model_catalog_service = cloud_model_catalog_service
ap.workspace_collaboration_service = workspace_collaboration_module.WorkspaceCollaborationService(
ap,
workspace_service_inst,
@@ -48,12 +48,6 @@ class LLMModel(Base):
provider_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
abilities = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default=[])
context_length = sqlalchemy.Column(sqlalchemy.Integer, nullable=True)
reasoning_config = sqlalchemy.Column(
sqlalchemy.JSON,
nullable=False,
default=lambda: {'level': 'provider_default'},
server_default=sqlalchemy.text('\'{"level":"provider_default"}\''),
)
extra_args = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
prefered_ranking = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=0)
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
@@ -163,6 +163,13 @@ class WorkspaceMembership(Base):
__table_args__ = (
sqlalchemy.UniqueConstraint('workspace_uuid', 'account_uuid', name='uq_workspace_membership_account'),
sqlalchemy.Index('ix_workspace_memberships_account_status', 'account_uuid', 'status'),
sqlalchemy.Index(
'uq_workspace_memberships_one_active_owner',
'workspace_uuid',
unique=True,
sqlite_where=sqlalchemy.text("role = 'owner' AND status = 'active'"),
postgresql_where=sqlalchemy.text("role = 'owner' AND status = 'active'"),
),
sqlalchemy.CheckConstraint(
"role IN ('owner', 'admin', 'developer', 'operator', 'viewer')",
name='ck_workspace_memberships_role',
@@ -0,0 +1,57 @@
"""add durable replay protection for signed Space launch assertions
Revision ID: 0016_space_launch_replay
Revises: 0015_cloud_core_collab
Create Date: 2026-07-31
"""
from __future__ import annotations
import sqlalchemy as sa
from alembic import op
revision = '0016_space_launch_replay'
down_revision = '0015_cloud_core_collab'
branch_labels = None
depends_on = None
_TABLE = 'space_launch_assertion_consumptions'
_POLICY = 'langbot_directory_projection'
_SETTING = "NULLIF(current_setting('langbot.directory_instance_uuid', true), '')"
def upgrade() -> None:
conn = op.get_bind()
if _TABLE not in set(sa.inspect(conn).get_table_names()):
op.create_table(
_TABLE,
sa.Column('instance_uuid', sa.String(255), nullable=False),
sa.Column('jti', sa.String(255), nullable=False),
sa.Column('expires_at', sa.DateTime(timezone=True), nullable=False),
sa.Column('consumed_at', sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False),
sa.PrimaryKeyConstraint('instance_uuid', 'jti'),
)
op.create_index(
'ix_space_launch_assertion_consumptions_expiry',
_TABLE,
['instance_uuid', 'expires_at'],
unique=False,
)
if conn.dialect.name == 'postgresql':
table = conn.dialect.identifier_preparer.quote(_TABLE)
policy = conn.dialect.identifier_preparer.quote(_POLICY)
expression = f'instance_uuid::text = {_SETTING}'
op.execute(sa.text(f'ALTER TABLE {table} ENABLE ROW LEVEL SECURITY'))
op.execute(sa.text(f'ALTER TABLE {table} FORCE ROW LEVEL SECURITY'))
op.execute(sa.text(f'DROP POLICY IF EXISTS {policy} ON {table}'))
op.execute(
sa.text(
f'CREATE POLICY {policy} ON {table} AS PERMISSIVE FOR ALL TO PUBLIC '
f'USING ({expression}) WITH CHECK ({expression})'
)
)
def downgrade() -> None:
if _TABLE in set(sa.inspect(op.get_bind()).get_table_names()):
op.drop_table(_TABLE)
@@ -1,57 +0,0 @@
"""add llm reasoning config
Revision ID: 0018_llm_reasoning_config
Revises: 0017_oss_workspace_identity
Create Date: 2026-07-27
"""
from __future__ import annotations
import sqlalchemy as sa
from alembic import op
revision = '0018_llm_reasoning_config'
down_revision = '0017_oss_workspace_identity'
branch_labels = None
depends_on = None
_LLM_MODELS = sa.table(
'llm_models',
sa.column('reasoning_config', sa.JSON()),
)
def upgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
if 'llm_models' not in inspector.get_table_names():
return
columns = {column['name'] for column in inspector.get_columns('llm_models')}
if 'reasoning_config' in columns:
return
op.add_column(
'llm_models',
sa.Column(
'reasoning_config',
sa.JSON(),
nullable=True,
server_default=sa.text('\'{"level":"provider_default"}\''),
),
)
conn.execute(_LLM_MODELS.update().values(reasoning_config={'level': 'provider_default'}))
with op.batch_alter_table('llm_models') as batch_op:
batch_op.alter_column('reasoning_config', existing_type=sa.JSON(), nullable=False)
def downgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
if 'llm_models' not in inspector.get_table_names():
return
columns = {column['name'] for column in inspector.get_columns('llm_models')}
if 'reasoning_config' in columns:
with op.batch_alter_table('llm_models') as batch_op:
batch_op.drop_column('reasoning_config')
@@ -0,0 +1,21 @@
"""merge the published Space launch replay and main migration branches
Revision ID: 0018_merge_launch_replay
Revises: 0016_space_launch_replay, 0017_oss_workspace_identity
Create Date: 2026-08-01
"""
from __future__ import annotations
revision = '0018_merge_launch_replay'
down_revision = ('0016_space_launch_replay', '0017_oss_workspace_identity')
branch_labels = None
depends_on = None
def upgrade() -> None:
pass
def downgrade() -> None:
pass
@@ -0,0 +1,78 @@
"""enforce one active owner per Workspace
Revision ID: 0019_single_workspace_owner
Revises: 0018_merge_launch_replay
Create Date: 2026-08-02
"""
from __future__ import annotations
import sqlalchemy as sa
from alembic import op
revision = '0019_single_workspace_owner'
down_revision = '0018_merge_launch_replay'
branch_labels = None
depends_on = None
_INDEX_NAME = 'uq_workspace_memberships_one_active_owner'
def upgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
if 'workspace_memberships' not in inspector.get_table_names():
return
# Ownership transfer used to promote a second member without demoting the
# original owner. Preserve the Workspace creator where possible and demote
# every historical extra owner before installing the database invariant.
op.execute(
sa.text(
"""
WITH ranked_owners AS (
SELECT membership.uuid,
ROW_NUMBER() OVER (
PARTITION BY membership.workspace_uuid
ORDER BY
CASE
WHEN membership.account_uuid = workspace.created_by_account_uuid THEN 0
ELSE 1
END,
COALESCE(membership.joined_at, membership.created_at),
membership.uuid
) AS owner_rank
FROM workspace_memberships AS membership
JOIN workspaces AS workspace
ON workspace.uuid = membership.workspace_uuid
WHERE membership.role = 'owner'
AND membership.status = 'active'
)
UPDATE workspace_memberships
SET role = 'admin'
WHERE uuid IN (
SELECT uuid
FROM ranked_owners
WHERE owner_rank > 1
)
"""
)
)
op.create_index(
_INDEX_NAME,
'workspace_memberships',
['workspace_uuid'],
unique=True,
sqlite_where=sa.text("role = 'owner' AND status = 'active'"),
postgresql_where=sa.text("role = 'owner' AND status = 'active'"),
)
def downgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
if 'workspace_memberships' not in inspector.get_table_names():
return
index_names = {index['name'] for index in inspector.get_indexes('workspace_memberships')}
if _INDEX_NAME in index_names:
op.drop_index(_INDEX_NAME, table_name='workspace_memberships')
+1 -1
View File
@@ -209,7 +209,7 @@ _ALLOWED_SCOPED_BUILTIN_FUNCTION_TYPES = {
'now': sqlalchemy.sql.functions.now,
'sum': sqlalchemy.sql.functions.sum,
}
_ALLOWED_SCOPED_GENERIC_FUNCTIONS = frozenset({'length', 'nullif'})
_ALLOWED_SCOPED_GENERIC_FUNCTIONS = frozenset({'date_trunc', 'length', 'nullif'})
_ALLOWED_SCOPED_CUSTOM_OPERATORS = frozenset({'<=>'})
_ALLOWED_SCOPED_STATEMENT_TYPES = (
sqlalchemy.sql.dml.UpdateBase,
+1 -3
View File
@@ -132,9 +132,7 @@ class Controller:
break
if selected_query: # 找到
queries.remove(selected_query)
else: # 没找到 说明:没有请求 或者 所有query对应的session都已达到并发上限
if not selected_query: # 找到 说明:没有请求 或者 所有query对应的session都已达到并发上限
await self.ap.query_pool.condition.wait()
continue
@@ -707,28 +707,37 @@ class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
if len(listener_tasks) >= 100:
await self.logger.warning('WebSocket inbound listener capacity reached; dropping message')
return
token = _current_pipeline_uuid.set(pipeline_uuid)
try:
task_manager = getattr(self.ap, 'task_mgr', None)
if task_manager is None or not isinstance(getattr(task_manager, 'tasks', None), list):
listener_task = asyncio.create_task(listeners[event.__class__](event, callback_adapter))
else:
listener_task = task_manager.create_task(
listeners[event.__class__](event, callback_adapter),
kind='websocket-message',
name=f'websocket-message-{connection.connection_id}',
scopes=[
core_entities.LifecycleControlScope.APPLICATION,
core_entities.LifecycleControlScope.PLATFORM,
],
instance_uuid=connection.instance_uuid,
workspace_uuid=connection.workspace_uuid,
placement_generation=connection.placement_generation,
).task
listener_tasks.add(listener_task)
listener_task.add_done_callback(self._listener_task_done)
finally:
_current_pipeline_uuid.reset(token)
listener = typing.cast(
typing.Callable[[typing.Any, typing.Any], typing.Awaitable[None]],
listeners[event.__class__],
)
async def run_listener():
token = _current_pipeline_uuid.set(pipeline_uuid)
try:
await listener(event, callback_adapter)
finally:
_current_pipeline_uuid.reset(token)
listener_coro = run_listener()
task_manager = getattr(self.ap, 'task_mgr', None)
if task_manager is None or not isinstance(getattr(task_manager, 'tasks', None), list):
listener_task = asyncio.create_task(listener_coro)
else:
listener_task = task_manager.create_task(
listener_coro,
kind='websocket-message',
name=f'websocket-message-{connection.connection_id}',
scopes=[
core_entities.LifecycleControlScope.APPLICATION,
core_entities.LifecycleControlScope.PLATFORM,
],
instance_uuid=connection.instance_uuid,
workspace_uuid=connection.workspace_uuid,
placement_generation=connection.placement_generation,
).task
listener_tasks.add(listener_task)
listener_task.add_done_callback(self._listener_task_done)
def get_websocket_messages(
self,
@@ -649,7 +649,6 @@ class ModelManager:
provider_uuid=runtime_provider.provider_entity.uuid,
abilities=model_info.get('abilities', []),
context_length=model_info.get('context_length'),
reasoning_config=model_info.get('reasoning_config', {'level': 'provider_default'}),
extra_args=model_info.get('extra_args', {}),
)
return self._build_llm_model(execution_context, model_entity, runtime_provider)
@@ -1,110 +0,0 @@
from __future__ import annotations
import typing
ReasoningLevel = typing.Literal[
'provider_default',
'disabled',
'enabled',
'minimal',
'low',
'medium',
'high',
'xhigh',
'max',
]
REASONING_LEVELS: tuple[str, ...] = (
'provider_default',
'disabled',
'enabled',
'minimal',
'low',
'medium',
'high',
'xhigh',
'max',
)
DEFAULT_REASONING_CONFIG: dict[str, str] = {'level': 'provider_default'}
_CONFLICTING_TOP_LEVEL_ARGS = {'reasoning_effort', 'thinking', 'reasoning'}
_CONFLICTING_EXTRA_BODY_ARGS = {'thinking', 'enable_thinking', 'thinking_budget', 'reasoning'}
def normalize_reasoning_config(value: typing.Any) -> dict[str, str]:
"""Return the canonical model reasoning configuration."""
if value is None:
return dict(DEFAULT_REASONING_CONFIG)
if not isinstance(value, dict):
raise ValueError('reasoning_config must be an object')
unknown_fields = set(value) - {'level'}
if unknown_fields:
raise ValueError(f'Unsupported reasoning_config fields: {", ".join(sorted(unknown_fields))}')
level = value.get('level', 'provider_default')
if level not in REASONING_LEVELS:
raise ValueError(f'Unsupported reasoning level: {level}')
return {'level': typing.cast(str, level)}
def validate_reasoning_config(
value: typing.Any,
abilities: typing.Iterable[str] | None,
extra_args: typing.Any,
) -> dict[str, str]:
"""Validate a model-facing reasoning config and conflicting raw arguments."""
config = normalize_reasoning_config(value)
if config['level'] == 'provider_default':
return config
if 'reasoning' not in set(abilities or []):
raise ValueError('The reasoning ability must be enabled before selecting a reasoning level')
conflicts = find_reasoning_arg_conflicts(extra_args)
if conflicts:
raise ValueError('reasoning_config conflicts with advanced parameters: ' + ', '.join(conflicts))
return config
def find_reasoning_arg_conflicts(extra_args: typing.Any) -> list[str]:
if not isinstance(extra_args, dict):
return []
conflicts = [key for key in sorted(_CONFLICTING_TOP_LEVEL_ARGS) if key in extra_args]
extra_body = extra_args.get('extra_body')
if isinstance(extra_body, dict):
conflicts.extend(f'extra_body.{key}' for key in sorted(_CONFLICTING_EXTRA_BODY_ARGS) if key in extra_body)
return conflicts
def validate_reasoning_capabilities(
config: typing.Any,
capabilities: typing.Mapping[str, typing.Any],
model_name: str,
) -> None:
"""Ensure an explicit reasoning level can be honored by the requester."""
level = normalize_reasoning_config(config)['level']
if level == 'provider_default':
return
available_levels = capabilities.get('levels')
if not isinstance(available_levels, list):
available_levels = []
if capabilities.get('supported') is not True or level not in available_levels:
available_text = ', '.join(str(item) for item in available_levels) or 'provider_default'
raise ValueError(
f'Reasoning level "{level}" is not supported by model {model_name}. Available levels: {available_text}'
)
def default_reasoning_capabilities(
supported: bool = False,
source: str = 'unknown',
) -> dict[str, typing.Any]:
return {
'supported': supported,
'levels': ['provider_default'],
'source': source,
}
@@ -10,7 +10,6 @@ from ...entity.persistence import model as persistence_model
from ...workspace.errors import WorkspaceInvariantError
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
from . import token
from . import reasoning
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.provider.message as provider_message
@@ -378,15 +377,11 @@ class RuntimeLLMModel:
provider: RuntimeProvider
"""提供商实例"""
reasoning_config_override: dict[str, str] | None
"""Request-scoped reasoning policy supplied by the active pipeline."""
def __init__(
self,
execution_context: ExecutionContext,
model_entity: persistence_model.LLMModel,
provider: RuntimeProvider,
reasoning_config_override: dict[str, str] | None = None,
):
_ensure_same_execution_scope(provider.execution_context, execution_context, resource='LLM model')
if model_entity.workspace_uuid != execution_context.workspace_uuid:
@@ -396,7 +391,6 @@ class RuntimeLLMModel:
self.execution_context = execution_context
self.model_entity = model_entity
self.provider = provider
self.reasoning_config_override = reasoning_config_override
class RuntimeEmbeddingModel:
@@ -488,13 +482,6 @@ class ProviderAPIRequester(metaclass=abc.ABCMeta):
"""
raise NotImplementedError('This provider does not support model scanning')
def get_reasoning_capabilities(self, model: RuntimeLLMModel) -> dict[str, typing.Any]:
"""Return normalized reasoning controls supported by a model."""
return reasoning.default_reasoning_capabilities(
supported='reasoning' in (model.model_entity.abilities or []),
source='manual' if 'reasoning' in (model.model_entity.abilities or []) else 'unknown',
)
@abc.abstractmethod
async def invoke_llm(
self,
@@ -7,7 +7,7 @@ import typing
import litellm
from litellm import acompletion, aembedding, arerank
from .. import errors, reasoning, requester
from .. import errors, requester
from ....utils import httpclient
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
@@ -164,19 +164,6 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
_EMBEDDING_MODEL_HINTS = ('embedding', 'embed', 'bge-', 'e5-', 'm3e', 'gte-', 'text-embedding')
_RERANK_MODEL_HINTS = ('rerank', 're-rank', 're_rank')
_INFERRED_EFFORT_PROVIDERS = frozenset(
{
'anthropic',
'gemini',
'groq',
'mistral',
'openai',
'openrouter',
'together_ai',
'xai',
}
)
_INFERRED_TOGGLE_PROVIDERS = frozenset({'deepseek', 'ollama', 'volcengine'})
default_config: dict[str, typing.Any] = {
'base_url': '',
@@ -214,10 +201,7 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
return False
provider = self._get_custom_llm_provider()
candidates: list[tuple[str, str | None]] = [
(candidate, None) for candidate in self._metadata_model_candidates(model_name)
]
candidates.append((model_name, provider))
candidates: list[tuple[str, str | None]] = [(model_name, provider)]
litellm_model_name = self._build_litellm_model_name(model_name)
if litellm_model_name != model_name:
candidates.append((litellm_model_name, None))
@@ -284,14 +268,6 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
deduped_candidates.append(candidate)
return deduped_candidates
@staticmethod
def _metadata_model_candidates(model_name: str) -> list[str]:
"""Return known equivalent model IDs used only for LiteLLM metadata lookup."""
normalized_model_name = (model_name or '').lower()
if normalized_model_name.startswith('mimo-v2.5'):
return [f'openrouter/xiaomi/{normalized_model_name}']
return []
def _known_context_length_fallback(self, model_name: str) -> int | None:
normalized_model_name = (model_name or '').lower()
if normalized_model_name.startswith('deepseek-v4-'):
@@ -311,8 +287,7 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
if not callable(helper):
return self._known_context_length_fallback(model_name)
candidates = self._metadata_model_candidates(model_name)
candidates.append(model_name)
candidates = [model_name]
litellm_model_name = self._build_litellm_model_name(model_name)
if litellm_model_name != model_name:
candidates.append(litellm_model_name)
@@ -339,142 +314,6 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
def _supports_vision(self, model_name: str) -> bool:
return self._safe_litellm_bool_helper('supports_vision', model_name)
def _supports_reasoning(self, model_name: str) -> bool:
return self._safe_litellm_bool_helper('supports_reasoning', model_name)
def _reasoning_provider(self, model_name: str) -> str:
provider = (self._get_custom_llm_provider() or '').lower()
if provider:
return provider
normalized_name = (model_name or '').lower()
if '/' in normalized_name:
prefix = normalized_name.split('/', 1)[0]
if prefix in {
'anthropic',
'deepseek',
'gemini',
'groq',
'mistral',
'ollama',
'openai',
'openrouter',
'together_ai',
'volcengine',
'xai',
}:
return prefix
candidates = self._metadata_provider_candidates(model_name)
return candidates[0] if candidates else ''
def _safe_model_info(self, model_name: str) -> dict[str, typing.Any]:
helper = getattr(litellm, 'get_model_info', None)
if not callable(helper):
return {}
candidates = [
*self._metadata_model_candidates(model_name),
model_name,
self._build_litellm_model_name(model_name),
]
for candidate in candidates:
try:
info = helper(candidate)
except Exception:
continue
if isinstance(info, dict):
return info
model_dump = getattr(info, 'model_dump', None)
if callable(model_dump):
try:
dumped = model_dump()
if isinstance(dumped, dict):
return dumped
except Exception:
continue
return {}
def get_reasoning_capabilities(self, model: requester.RuntimeLLMModel) -> dict[str, typing.Any]:
model_name = model.model_entity.name
abilities = model.model_entity.abilities or []
detected = self._supports_reasoning(model_name)
declared = 'reasoning' in abilities
provider = self._reasoning_provider(model_name)
inferred = provider in self._INFERRED_EFFORT_PROVIDERS | self._INFERRED_TOGGLE_PROVIDERS
supported = detected or declared or inferred
if not supported:
return reasoning.default_reasoning_capabilities()
normalized_name = model_name.lower()
levels = ['provider_default']
if provider == 'deepseek':
if 'reasoner' not in normalized_name and '-r1' not in normalized_name:
levels.append('disabled')
levels.append('enabled')
elif provider == 'volcengine':
levels.extend(['disabled', 'enabled'])
elif provider == 'ollama':
levels.append('disabled')
if normalized_name.startswith('gpt-oss') or '/gpt-oss' in normalized_name:
levels.extend(['low', 'medium', 'high'])
else:
levels.append('enabled')
elif not detected:
levels.extend(['low', 'medium', 'high'])
else:
model_info = self._safe_model_info(model_name)
supports_none = model_info.get('supports_none_reasoning_effort') is True
if provider == 'anthropic':
supports_none = True
if provider == 'gemini' and 'gemini-3' in normalized_name:
supports_none = False
if supports_none:
levels.append('disabled')
for level in ('minimal', 'low', 'medium', 'high'):
flag = model_info.get(f'supports_{level}_reasoning_effort')
if flag is not False:
levels.append(level)
for level in ('xhigh', 'max'):
if model_info.get(f'supports_{level}_reasoning_effort') is True:
levels.append(level)
return {
'supported': True,
'levels': list(dict.fromkeys(levels)),
'source': 'litellm' if detected else ('provider' if inferred else 'manual'),
}
def _build_reasoning_args(self, model: requester.RuntimeLLMModel) -> dict[str, typing.Any]:
raw_config = getattr(model, 'reasoning_config_override', None)
if raw_config is None:
raw_config = getattr(model.model_entity, 'reasoning_config', None)
if not isinstance(raw_config, dict):
raw_config = None
config = reasoning.normalize_reasoning_config(raw_config)
level = config['level']
if level == 'provider_default':
return {}
capabilities = self.get_reasoning_capabilities(model)
try:
reasoning.validate_reasoning_capabilities(config, capabilities, model.model_entity.name)
except ValueError as exc:
raise errors.RequesterError(str(exc)) from exc
provider = self._reasoning_provider(model.model_entity.name)
if level == 'disabled':
if provider == 'volcengine':
return {'thinking': {'type': 'disabled'}}
return {'reasoning_effort': 'none'}
if level == 'enabled':
if provider in {'deepseek', 'volcengine'}:
return {'thinking': {'type': 'enabled'}}
return {'reasoning_effort': 'low'}
return {'reasoning_effort': level}
def _infer_model_type(self, model_id: str) -> str:
normalized_id = (model_id or '').lower()
if any(kw in normalized_id for kw in self._RERANK_MODEL_HINTS):
@@ -505,11 +344,6 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
)
if supports_provider_reported_vision or self._supports_vision(model_id):
abilities.append('vision')
supports_provider_reported_reasoning = bool(
model_payload and model_payload.get('supports_reasoning') is True
)
if supports_provider_reported_reasoning or self._supports_reasoning(model_id):
abilities.append('reasoning')
scanned_model['abilities'] = abilities
context_length = self._context_length_from_scan_payload(model_payload)
@@ -836,21 +670,6 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
args.update(model.model_entity.extra_args)
args.update(extra_args)
reasoning_args = self._build_reasoning_args(model)
if reasoning_args:
conflicts = reasoning.find_reasoning_arg_conflicts(model.model_entity.extra_args)
conflicts.extend(reasoning.find_reasoning_arg_conflicts(extra_args))
if conflicts:
raise errors.RequesterError(
'reasoning_config conflicts with advanced parameters: ' + ', '.join(dict.fromkeys(conflicts))
)
args.update(reasoning_args)
if 'reasoning_effort' in reasoning_args and self._reasoning_provider(model.model_entity.name) == 'openai':
allowed_openai_params = args.get('allowed_openai_params') or []
if not isinstance(allowed_openai_params, (list, tuple, set)):
raise errors.RequesterError('allowed_openai_params must be an array')
args['allowed_openai_params'] = list(dict.fromkeys([*allowed_openai_params, 'reasoning_effort']))
if funcs:
tools = await self.ap.tool_mgr.generate_tools_for_openai(funcs)
if tools:
@@ -880,10 +699,6 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
content = message_data.get('content', '')
reasoning_content = message_data.get('reasoning_content', None)
if reasoning_content:
provider_fields = dict(message_data.get('provider_specific_fields') or {})
provider_fields['reasoning_content'] = reasoning_content
message_data['provider_specific_fields'] = provider_fields
message_data['content'] = self._process_thinking_content(content, reasoning_content, remove_think)
if 'reasoning_content' in message_data:
@@ -945,13 +760,13 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
delta_content = delta.get('content', '')
reasoning_content = delta.get('reasoning_content', '')
provider_fields = dict(delta.get('provider_specific_fields') or {})
# Handle reasoning_content based on remove_think flag
if reasoning_content:
provider_fields['reasoning_content'] = reasoning_content
if remove_think:
delta_content = None
# Skip reasoning content when remove_think is True
chunk_idx += 1
continue
else:
# Use reasoning_content as the displayed content
delta_content = reasoning_content
@@ -964,7 +779,7 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
tool_calls = self._normalize_stream_tool_calls(delta.get('tool_calls'), tool_call_state)
if chunk_idx == 0 and not delta_content and not tool_calls and not provider_fields:
if chunk_idx == 0 and not delta_content and not tool_calls:
chunk_idx += 1
continue
@@ -976,8 +791,8 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
}
# Preserve provider_specific_fields from delta (e.g., Gemini thought_signatures)
if provider_fields:
chunk_data['provider_specific_fields'] = provider_fields
if delta.get('provider_specific_fields'):
chunk_data['provider_specific_fields'] = delta['provider_specific_fields']
chunk_data = {k: v for k, v in chunk_data.items() if v is not None}
yield provider_message.MessageChunk(**chunk_data)
+2 -34
View File
@@ -6,7 +6,6 @@ import typing
from .. import runner
from ...telemetry import features as telemetry_features
from ..modelmgr import requester as modelmgr_requester
from ..modelmgr import reasoning as modelmgr_reasoning
from ..tools.loaders.native import EXEC_TOOL_NAME
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.provider.message as provider_message
@@ -61,7 +60,6 @@ class _StreamAccumulator:
self.msg_idx = 0
self.accumulated_content = initial_content or ''
self.last_role = 'assistant'
self.provider_specific_fields: dict[str, typing.Any] = {}
self.msg_sequence = msg_sequence
self.remove_think = remove_think
self._think_state = None
@@ -96,14 +94,6 @@ class _StreamAccumulator:
if tool_call.function and tool_call.function.arguments:
self.tool_calls_map[tool_call.id].function.arguments += tool_call.function.arguments
if msg.provider_specific_fields:
for key, value in msg.provider_specific_fields.items():
if key == 'reasoning_content' and isinstance(value, str):
previous = self.provider_specific_fields.get(key, '')
self.provider_specific_fields[key] = f'{previous}{value}'
else:
self.provider_specific_fields[key] = value
if msg.is_final:
self._flush_think_state()
@@ -113,7 +103,6 @@ class _StreamAccumulator:
role=self.last_role,
content=self._maybe_strip_think(self.accumulated_content),
tool_calls=list(self.tool_calls_map.values()) if (self.tool_calls_map and msg.is_final) else None,
provider_specific_fields=(self.provider_specific_fields or None) if msg.is_final else None,
is_final=msg.is_final,
msg_sequence=self.msg_sequence,
)
@@ -126,7 +115,6 @@ class _StreamAccumulator:
role=self.last_role,
content=self._maybe_strip_think(self.accumulated_content),
tool_calls=list(self.tool_calls_map.values()) if self.tool_calls_map else None,
provider_specific_fields=self.provider_specific_fields or None,
msg_sequence=self.msg_sequence,
)
@@ -245,10 +233,9 @@ class LocalAgentRunner(runner.RequestRunner):
execution_context,
query.use_llm_model_uuid,
)
candidates.append(primary)
except ValueError:
self.ap.logger.warning(f'Primary model {query.use_llm_model_uuid} not found')
else:
candidates.append(LocalAgentRunner._apply_pipeline_reasoning_config(query, primary))
# Fallback models
fallback_uuids = (query.variables or {}).get('_fallback_model_uuids', [])
@@ -258,31 +245,12 @@ class LocalAgentRunner(runner.RequestRunner):
execution_context,
fb_uuid,
)
candidates.append(fb_model)
except ValueError:
self.ap.logger.warning(f'Fallback model {fb_uuid} not found, skipping')
else:
candidates.append(LocalAgentRunner._apply_pipeline_reasoning_config(query, fb_model))
return candidates
@staticmethod
def _apply_pipeline_reasoning_config(
query: pipeline_query.Query,
model: modelmgr_requester.RuntimeLLMModel,
) -> modelmgr_requester.RuntimeLLMModel:
local_agent_config = query.pipeline_config.get('ai', {}).get('local-agent', {})
model_config = local_agent_config.get('model', {})
reasoning_by_model = model_config.get('reasoning', {}) if isinstance(model_config, dict) else {}
level = (
reasoning_by_model.get(model.model_entity.uuid, 'provider_default')
if isinstance(reasoning_by_model, dict)
else 'provider_default'
)
reasoning_config = modelmgr_reasoning.normalize_reasoning_config({'level': level})
configured_model = copy.copy(model)
configured_model.reasoning_config_override = reasoning_config
return configured_model
async def _invoke_with_fallback(
self,
query: pipeline_query.Query,
+2
View File
@@ -37,6 +37,7 @@ class WorkspaceResourceSnapshot(typing.TypedDict):
extension_count: int
skill_count: int
adapters: list[str]
execution_generation: int
async def _count(
@@ -81,6 +82,7 @@ async def _cloud_workspace_resource_counts(ap: core_app.Application, bindings) -
'extension_count': 0,
'skill_count': 0,
'adapters': [],
'execution_generation': binding.placement_generation,
}
for binding in bindings
}
+5 -23
View File
@@ -606,6 +606,8 @@ class WorkspaceCollaborationService:
) -> WorkspaceMembership:
if role not in {item.value for item in MembershipRole}:
raise MembershipPermissionError('Unknown Workspace role')
if role == MembershipRole.OWNER.value:
raise MembershipPermissionError('Workspace ownership cannot be transferred')
async def operation(active_session: AsyncSession) -> WorkspaceMembership:
await self._require_active_workspace(active_session, workspace_uuid)
@@ -617,8 +619,8 @@ class WorkspaceCollaborationService:
target_account_uuid,
)
self._require_can_manage_target(persisted_actor, target, new_role=role)
if target.role == MembershipRole.OWNER.value and role != MembershipRole.OWNER.value:
await self._require_another_owner(active_session, workspace_uuid, target.account_uuid)
if target.role == MembershipRole.OWNER.value:
raise LastOwnerError('The Workspace owner cannot be removed or demoted')
target.role = role
await active_session.flush()
return target
@@ -644,7 +646,7 @@ class WorkspaceCollaborationService:
)
self._require_can_manage_target(persisted_actor, target)
if target.role == MembershipRole.OWNER.value:
await self._require_another_owner(active_session, workspace_uuid, target.account_uuid)
raise LastOwnerError('The Workspace owner cannot be removed or demoted')
target.status = MembershipStatus.REMOVED.value
await active_session.flush()
return target
@@ -751,26 +753,6 @@ class WorkspaceCollaborationService:
raise WorkspaceNotFoundError('Workspace not found')
return persisted_actor
async def _require_another_owner(
self,
session: AsyncSession,
workspace_uuid: str,
excluded_account_uuid: str,
) -> None:
owners = (
await session.scalars(
sqlalchemy.select(WorkspaceMembership)
.where(
WorkspaceMembership.workspace_uuid == workspace_uuid,
WorkspaceMembership.status == MembershipStatus.ACTIVE.value,
WorkspaceMembership.role == MembershipRole.OWNER.value,
)
.with_for_update()
)
).all()
if not any(owner.account_uuid != excluded_account_uuid for owner in owners):
raise LastOwnerError('The last Workspace owner cannot be removed or demoted')
def _require_actor_workspace(self, actor: WorkspaceMembership, workspace_uuid: str) -> None:
if actor.workspace_uuid != workspace_uuid or actor.status != MembershipStatus.ACTIVE.value:
raise WorkspaceNotFoundError('Workspace not found')
@@ -92,7 +92,6 @@ stages:
default:
primary: ''
fallbacks: []
reasoning: {}
- name: max-round
label:
en_US: Max Round
+24
View File
@@ -9,6 +9,8 @@ Run: uv run pytest tests/integration/api/test_smoke.py -q
from __future__ import annotations
from types import SimpleNamespace
import pytest
from unittest.mock import MagicMock, AsyncMock, Mock
@@ -304,12 +306,34 @@ class TestUserInitEndpoint:
data = await response.get_json()
assert data['data'] == {
'initialized': True,
'authenticated_invitation_acceptance_enabled': False,
'password_login_enabled': True,
'space_login_enabled': False,
}
fake_api_app.user_service.get_login_capabilities.assert_awaited_once_with()
fake_api_app.user_service.get_first_user.assert_not_awaited()
@pytest.mark.asyncio
async def test_account_info_enables_authenticated_invitation_acceptance_in_cloud(
self, quart_test_client, fake_api_app
):
fake_api_app.deployment = SimpleNamespace(mode='cloud')
fake_api_app.user_service.is_initialized.return_value = True
fake_api_app.user_service.get_login_capabilities = AsyncMock(
return_value={'password_login_enabled': True, 'space_login_enabled': True}
)
response = await quart_test_client.get('/api/v1/user/account-info')
assert response.status_code == 200
data = await response.get_json()
assert data['data'] == {
'initialized': True,
'authenticated_invitation_acceptance_enabled': True,
'password_login_enabled': False,
'space_login_enabled': True,
}
@pytest.mark.asyncio
async def test_recovery_key_resets_any_existing_account(self, quart_test_client, fake_api_app, monkeypatch):
fake_api_app.user_service.is_initialized.return_value = True
@@ -333,7 +333,6 @@ async def test_support_admin_request_context_has_actor_owner_and_no_membership(s
assert Permission.RESOURCE_MANAGE.value in permissions
assert not permissions.intersection(
{
Permission.OWNER_TRANSFER.value,
Permission.MEMBER_VIEW.value,
Permission.MEMBER_INVITE.value,
Permission.MEMBER_UPDATE_ROLE.value,
+27 -1
View File
@@ -272,9 +272,10 @@ async def test_space_credits_are_resolved_from_workspace_owner(space_oauth_api):
'/api/v1/user/space-credits',
headers={'Authorization': 'Bearer account-token', 'X-Workspace-Id': WORKSPACE_UUID},
)
payload = await response.get_json()
assert response.status_code == 200
assert (await response.get_json())['data'] == {
assert payload['data'] == {
'credits': 25000,
'owner_space_bound': True,
'is_workspace_owner': True,
@@ -282,6 +283,31 @@ async def test_space_credits_are_resolved_from_workspace_owner(space_oauth_api):
application.space_service.get_credits.assert_awaited_once_with('owner@example.com')
@pytest.mark.asyncio
async def test_cloud_workspace_owner_is_always_space_bound_after_login(space_oauth_api):
application, client = space_oauth_api
application.deployment.mode = 'cloud'
application.user_service.get_workspace_owner = AsyncMock(return_value=None)
application.space_service.get_credits = AsyncMock()
application.cloud_model_catalog_service = SimpleNamespace(
get_workspace_credits=lambda workspace_uuid: 25000 if workspace_uuid == WORKSPACE_UUID else None
)
response = await client.get(
'/api/v1/user/space-credits',
headers={'Authorization': 'Bearer account-token', 'X-Workspace-Id': WORKSPACE_UUID},
)
payload = await response.get_json()
assert response.status_code == 200
assert payload['data'] == {
'credits': 25000,
'owner_space_bound': True,
'is_workspace_owner': True,
}
application.space_service.get_credits.assert_not_awaited()
@pytest.mark.asyncio
async def test_bind_callback_uses_opaque_state_and_never_treats_it_as_jwt(space_oauth_api):
application, client = space_oauth_api
+9
View File
@@ -188,6 +188,7 @@ async def test_owner_invites_second_account_and_secret_is_not_persisted(workspac
workspace_uuid = current['workspace']['uuid']
assert current['membership']['role'] == 'owner'
assert 'member.invite' in current['permissions']
assert 'owner.transfer' not in current['permissions']
invite_response = await client.post(
f'/api/v1/workspaces/{workspace_uuid}/invitations',
@@ -263,6 +264,14 @@ async def test_owner_invites_second_account_and_secret_is_not_persisted(workspac
assert member_current['membership']['role'] == 'viewer'
assert 'member.invite' not in member_current['permissions']
transfer_response = await client.patch(
f'/api/v1/workspaces/{workspace_uuid}/members/{member_current["membership"]["account_uuid"]}',
headers=_auth(owner_token, workspace_uuid),
json={'role': 'owner'},
)
assert transfer_response.status_code == 403
assert (await transfer_response.get_json())['code'] == 'permission_denied'
forbidden_invite = await client.post(
f'/api/v1/workspaces/{workspace_uuid}/invitations',
headers=_auth(member_token, workspace_uuid),
@@ -9,11 +9,8 @@ Run: uv run pytest tests/integration/persistence/test_migrations.py -q
from __future__ import annotations
import json
import pytest
import sqlalchemy
from sqlalchemy import text
from sqlalchemy.ext.asyncio import create_async_engine
from langbot.pkg.entity.persistence.base import Base
@@ -98,6 +95,18 @@ class TestSQLiteMigrationBaseline:
class TestSQLiteMigrationUpgrade:
"""Tests for upgrade to head workflow."""
@pytest.mark.asyncio
async def test_upgrade_from_published_space_launch_head_to_merged_head(self, sqlite_engine):
"""A database released at the production-only 0016 head must remain upgradable."""
async with sqlite_engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
await run_alembic_stamp(sqlite_engine, '0016_space_launch_replay')
await run_alembic_upgrade(sqlite_engine, 'head')
assert await get_alembic_current(sqlite_engine) == _get_script_head()
assert _get_script_head() == '0018_merge_launch_replay'
@pytest.mark.asyncio
async def test_upgrade_from_baseline_to_head(self, sqlite_engine):
"""
@@ -193,66 +202,6 @@ class TestSQLiteMigrationUpgrade:
await run_alembic_upgrade(sqlite_engine, 'head')
assert await get_alembic_current(sqlite_engine) == _get_script_head()
@pytest.mark.asyncio
async def test_reasoning_config_migrates_existing_models(self, sqlite_engine):
"""Upgrade from 0017 backfills reasoning config and keeps a database default."""
async with sqlite_engine.begin() as conn:
await conn.execute(
text(
"""
CREATE TABLE llm_models (
uuid VARCHAR(255) PRIMARY KEY,
name VARCHAR(255) NOT NULL,
provider_uuid VARCHAR(255) NOT NULL,
abilities JSON NOT NULL,
context_length INTEGER,
extra_args JSON NOT NULL,
prefered_ranking INTEGER NOT NULL DEFAULT 0
)
"""
)
)
await conn.execute(
text(
"""
INSERT INTO llm_models (
uuid, name, provider_uuid, abilities, extra_args, prefered_ranking
) VALUES (
'existing-model', 'Existing Model', 'provider', '[]', '{}', 0
)
"""
)
)
await run_alembic_stamp(sqlite_engine, '0017_oss_workspace_identity')
await run_alembic_upgrade(sqlite_engine, 'head')
async with sqlite_engine.begin() as conn:
columns = await conn.run_sync(lambda sync_conn: sqlalchemy.inspect(sync_conn).get_columns('llm_models'))
reasoning_column = next(column for column in columns if column['name'] == 'reasoning_config')
assert reasoning_column['nullable'] is False
existing_value = (
await conn.execute(text("SELECT reasoning_config FROM llm_models WHERE uuid = 'existing-model'"))
).scalar_one()
assert json.loads(existing_value) == {'level': 'provider_default'}
await conn.execute(
text(
"""
INSERT INTO llm_models (
uuid, name, provider_uuid, abilities, extra_args, prefered_ranking
) VALUES (
'new-model', 'New Model', 'provider', '[]', '{}', 0
)
"""
)
)
new_value = (
await conn.execute(text("SELECT reasoning_config FROM llm_models WHERE uuid = 'new-model'"))
).scalar_one()
assert json.loads(new_value) == {'level': 'provider_default'}
class TestSQLiteMigrationFreshDatabase:
"""Tests for fresh database workflow."""
@@ -0,0 +1,100 @@
from __future__ import annotations
import pytest
import sqlalchemy as sa
from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine
from langbot.pkg.entity.persistence.base import Base
from langbot.pkg.entity.persistence.user import User
from langbot.pkg.entity.persistence.workspace import Workspace, WorkspaceMembership
from langbot.pkg.persistence.alembic_runner import run_alembic_stamp, run_alembic_upgrade
@pytest.mark.asyncio
async def test_single_owner_migration_demotes_historical_extra_owner_and_installs_unique_index(tmp_path):
engine = create_async_engine(f'sqlite+aiosqlite:///{tmp_path / "single-owner.db"}')
try:
async with engine.begin() as connection:
await connection.run_sync(Base.metadata.create_all)
await connection.execute(sa.text('DROP INDEX uq_workspace_memberships_one_active_owner'))
session_factory = async_sessionmaker(engine, expire_on_commit=False)
workspace_uuid = '00000000-0000-4000-8000-000000000001'
creator_uuid = '00000000-0000-4000-8000-000000000010'
promoted_uuid = '00000000-0000-4000-8000-000000000020'
async with session_factory() as session:
session.add_all(
[
User(
uuid=creator_uuid,
user='creator@example.test',
normalized_email='creator@example.test',
password='hash',
account_type='local',
),
User(
uuid=promoted_uuid,
user='promoted@example.test',
normalized_email='promoted@example.test',
password='hash',
account_type='local',
),
Workspace(
uuid=workspace_uuid,
instance_uuid='instance-test',
name='Workspace',
slug='workspace',
type='team',
status='active',
source='local',
created_by_account_uuid=creator_uuid,
),
WorkspaceMembership(
uuid='00000000-0000-4000-8000-000000000100',
workspace_uuid=workspace_uuid,
account_uuid=creator_uuid,
role='owner',
status='active',
),
WorkspaceMembership(
uuid='00000000-0000-4000-8000-000000000200',
workspace_uuid=workspace_uuid,
account_uuid=promoted_uuid,
role='owner',
status='active',
),
]
)
await session.commit()
await run_alembic_stamp(engine, '0018_merge_launch_replay')
await run_alembic_upgrade(engine, 'head')
async with engine.connect() as connection:
roles = dict(
(
await connection.execute(
sa.text(
'SELECT account_uuid, role FROM workspace_memberships '
'WHERE workspace_uuid = :workspace_uuid ORDER BY account_uuid'
),
{'workspace_uuid': workspace_uuid},
)
).all()
)
assert roles == {creator_uuid: 'owner', promoted_uuid: 'admin'}
indexes = await connection.run_sync(
lambda sync_connection: {
index['name'] for index in sa.inspect(sync_connection).get_indexes('workspace_memberships')
}
)
assert 'uq_workspace_memberships_one_active_owner' in indexes
with pytest.raises(sa.exc.IntegrityError):
async with engine.begin() as connection:
await connection.execute(
sa.text("UPDATE workspace_memberships SET role = 'owner' WHERE account_uuid = :account_uuid"),
{'account_uuid': promoted_uuid},
)
finally:
await engine.dispose()
+1 -2
View File
@@ -27,10 +27,9 @@ def test_owner_has_every_fixed_permission():
assert ctx.workspace.permissions == frozenset(permission.value for permission in authz.Permission)
def test_admin_cannot_transfer_owner_delete_workspace_or_link_billing():
def test_admin_cannot_delete_workspace_or_link_billing():
ctx = _context(authz.WorkspaceRole.ADMIN)
assert not authz.has_permission(ctx, authz.Permission.OWNER_TRANSFER)
assert not authz.has_permission(ctx, authz.Permission.WORKSPACE_DELETE)
assert not authz.has_permission(ctx, authz.Permission.BILLING_LINK_MANAGE)
assert authz.has_permission(ctx, authz.Permission.MEMBER_INVITE)
@@ -0,0 +1,112 @@
"""Cloud Runtime write protection for the managed LangBot Models catalog."""
from types import SimpleNamespace
from unittest.mock import AsyncMock
import pytest
from langbot.pkg.api.http.service import model as model_service_module
from langbot.pkg.api.http.service.model import (
EmbeddingModelsService,
LLMModelsService,
RerankModelsService,
_assert_cloud_managed_provider_mutable,
)
from langbot.pkg.cloud.model_catalog import LANGBOT_MODELS_PROVIDER_REQUESTER
WORKSPACE = 'workspace-a'
PROVIDER = 'managed-provider'
MODEL = 'managed-model'
@pytest.mark.asyncio
async def test_managed_provider_guard_is_cloud_only(monkeypatch) -> None:
async def managed_provider(_ap, _context, provider_uuid):
assert provider_uuid == PROVIDER
return {'uuid': PROVIDER, 'requester': LANGBOT_MODELS_PROVIDER_REQUESTER}
monkeypatch.setattr(model_service_module, '_require_workspace_provider', managed_provider)
application = SimpleNamespace(persistence_mgr=SimpleNamespace(mode=SimpleNamespace(value='cloud_runtime')))
with pytest.raises(ValueError, match='managed by Cloud'):
await _assert_cloud_managed_provider_mutable(
application,
WORKSPACE,
PROVIDER,
)
application.persistence_mgr.mode.value = 'normal'
await _assert_cloud_managed_provider_mutable(
application,
WORKSPACE,
PROVIDER,
)
@pytest.mark.parametrize(
('service_type', 'create_method', 'model_data'),
[
(LLMModelsService, 'create_llm_model', {'provider_uuid': PROVIDER, 'name': 'chat', 'abilities': []}),
(EmbeddingModelsService, 'create_embedding_model', {'provider_uuid': PROVIDER, 'name': 'embedding'}),
(RerankModelsService, 'create_rerank_model', {'provider_uuid': PROVIDER, 'name': 'rerank'}),
],
)
@pytest.mark.asyncio
async def test_all_model_types_reject_creation_under_managed_provider(
monkeypatch,
service_type,
create_method: str,
model_data: dict,
) -> None:
guard = AsyncMock(side_effect=ValueError('LangBot Models is managed by Cloud and cannot be modified'))
monkeypatch.setattr(model_service_module, '_assert_cloud_managed_provider_mutable', guard)
application = SimpleNamespace(
persistence_mgr=SimpleNamespace(),
provider_service=SimpleNamespace(
get_provider=AsyncMock(return_value={'uuid': PROVIDER, 'requester': LANGBOT_MODELS_PROVIDER_REQUESTER})
),
model_mgr=None,
)
service = service_type(application)
with pytest.raises(ValueError, match='managed by Cloud'):
await getattr(service, create_method)(WORKSPACE, model_data)
guard.assert_awaited_once()
@pytest.mark.parametrize(
('service_type', 'get_method', 'write_method', 'payload'),
[
(LLMModelsService, 'get_llm_model', 'update_llm_model', {'name': 'changed'}),
(LLMModelsService, 'get_llm_model', 'delete_llm_model', None),
(EmbeddingModelsService, 'get_embedding_model', 'update_embedding_model', {'name': 'changed'}),
(EmbeddingModelsService, 'get_embedding_model', 'delete_embedding_model', None),
(RerankModelsService, 'get_rerank_model', 'update_rerank_model', {'name': 'changed'}),
(RerankModelsService, 'get_rerank_model', 'delete_rerank_model', None),
],
)
@pytest.mark.asyncio
async def test_all_model_types_reject_update_and_delete_for_managed_provider(
monkeypatch,
service_type,
get_method: str,
write_method: str,
payload: dict | None,
) -> None:
guard = AsyncMock(side_effect=ValueError('LangBot Models is managed by Cloud and cannot be modified'))
monkeypatch.setattr(model_service_module, '_assert_cloud_managed_provider_mutable', guard)
application = SimpleNamespace(persistence_mgr=SimpleNamespace(mode=SimpleNamespace(value='cloud_runtime')))
service = service_type(application)
monkeypatch.setattr(
service,
get_method,
AsyncMock(return_value={'uuid': MODEL, 'provider_uuid': PROVIDER, 'extra_args': {}}),
)
args = (WORKSPACE, MODEL) if payload is None else (WORKSPACE, MODEL, payload)
with pytest.raises(ValueError, match='managed by Cloud'):
await getattr(service, write_method)(*args)
guard.assert_awaited_once()
@@ -17,14 +17,12 @@ import pytest
from unittest.mock import AsyncMock, Mock
from types import SimpleNamespace
from langbot.pkg.api.http.context import ExecutionContext
from langbot.pkg.api.http.service.model import (
LLMModelsService,
EmbeddingModelsService,
RerankModelsService,
_parse_provider_api_keys,
_runtime_model_data,
_serialize_llm_model,
_validate_provider_supports,
)
from langbot.pkg.api.http.service import model as model_service_module
@@ -66,19 +64,15 @@ def _create_mock_llm_model(
abilities: list = None,
context_length: int | None = None,
extra_args: dict = None,
reasoning_config: dict = None,
) -> Mock:
"""Helper to create mock LLMModel entity."""
model = Mock(spec=LLMModel)
model.workspace_uuid = WORKSPACE_UUID
model.uuid = model_uuid
model.name = name
model.provider_uuid = provider_uuid
model.abilities = abilities or []
model.context_length = context_length
model.extra_args = extra_args or {}
model.reasoning_config = reasoning_config or {'level': 'provider_default'}
model.prefered_ranking = 0
return model
@@ -162,26 +156,6 @@ def _create_runtime_model_mgr() -> SimpleNamespace:
return manager
def _create_reasoning_runtime_provider(capabilities: dict) -> SimpleNamespace:
execution_context = ExecutionContext(
instance_uuid='instance-test',
workspace_uuid=WORKSPACE_UUID,
placement_generation=1,
)
return SimpleNamespace(
execution_context=execution_context,
provider_entity=ModelProvider(
workspace_uuid=WORKSPACE_UUID,
uuid='provider-uuid',
name='Reasoning Provider',
requester='openai',
base_url='https://api.openai.com',
api_keys=[],
),
requester=SimpleNamespace(get_reasoning_capabilities=Mock(return_value=capabilities)),
)
class TestParseProviderApiKeys:
"""Tests for _parse_provider_api_keys helper function."""
@@ -235,42 +209,6 @@ class TestRuntimeModelData:
assert result['extra_args'] == {'temp': 0.7}
class TestSerializeLLMModel:
def test_includes_runtime_reasoning_capabilities(self):
model = _create_mock_llm_model(
abilities=['reasoning'],
reasoning_config={'level': 'high'},
)
capabilities = {
'supported': True,
'levels': ['provider_default', 'low', 'high'],
'source': 'litellm',
}
runtime_model = SimpleNamespace(
model_entity=model,
provider=SimpleNamespace(
requester=SimpleNamespace(get_reasoning_capabilities=Mock(return_value=capabilities))
),
)
ap = SimpleNamespace(
persistence_mgr=SimpleNamespace(
serialize_model=Mock(
return_value={
'uuid': model.uuid,
'name': model.name,
'reasoning_config': {'level': 'high'},
}
)
),
model_mgr=SimpleNamespace(llm_model_dict={('workspace', model.uuid): runtime_model}),
)
serialized = _serialize_llm_model(ap, model)
assert serialized['reasoning_config'] == {'level': 'high'}
assert serialized['reasoning_capabilities'] == capabilities
class TestLLMModelsServiceGetLLMModels:
"""Tests for LLMModelsService.get_llm_models method."""
@@ -642,66 +580,6 @@ class TestLLMModelsServiceCreateLLMModel:
ap.provider_service.find_or_create_provider.assert_called_once()
assert result_uuid is not None
async def test_create_llm_model_validates_explicit_reasoning_level(self):
ap = SimpleNamespace()
ap.persistence_mgr = SimpleNamespace(execute_async=AsyncMock(return_value=_create_mock_result([])))
runtime_provider = _create_reasoning_runtime_provider(
{
'supported': True,
'levels': ['provider_default', 'low', 'high'],
'source': 'litellm',
}
)
ap.model_mgr = _create_runtime_model_mgr()
ap.model_mgr.provider_dict = {'provider-uuid': runtime_provider}
service = LLMModelsService(ap)
await service.create_llm_model(
WORKSPACE_UUID,
{
'uuid': 'reasoning-model',
'name': 'Reasoning Model',
'provider_uuid': 'provider-uuid',
'abilities': ['reasoning'],
'reasoning_config': {'level': 'high'},
'extra_args': {},
},
preserve_uuid=True,
auto_set_to_default_pipeline=False,
)
runtime_entity = ap.model_mgr.load_llm_model_with_provider.await_args.args[1]
assert runtime_entity.reasoning_config == {'level': 'high'}
async def test_create_llm_model_rejects_unsupported_reasoning_before_insert(self):
ap = SimpleNamespace()
ap.persistence_mgr = SimpleNamespace(execute_async=AsyncMock())
runtime_provider = _create_reasoning_runtime_provider(
{
'supported': True,
'levels': ['provider_default'],
'source': 'manual',
}
)
ap.model_mgr = _create_runtime_model_mgr()
ap.model_mgr.provider_dict = {'provider-uuid': runtime_provider}
service = LLMModelsService(ap)
with pytest.raises(ValueError, match='Available levels: provider_default'):
await service.create_llm_model(
WORKSPACE_UUID,
{
'name': 'Unknown Reasoning Model',
'provider_uuid': 'provider-uuid',
'abilities': ['reasoning'],
'reasoning_config': {'level': 'high'},
'extra_args': {},
},
auto_set_to_default_pipeline=False,
)
ap.persistence_mgr.execute_async.assert_not_awaited()
class TestLLMModelsServiceUpdateLLMModel:
"""Tests for LLMModelsService.update_llm_model method."""
@@ -717,10 +595,7 @@ class TestLLMModelsServiceUpdateLLMModel:
ap.model_mgr.remove_llm_model = AsyncMock()
ap.model_mgr.load_llm_model_with_provider = AsyncMock(return_value=Mock())
existing_model = _create_mock_llm_model()
ap.persistence_mgr.execute_async = AsyncMock(
side_effect=[_create_mock_result(first_item=existing_model), _create_mock_result()]
)
ap.persistence_mgr.execute_async = AsyncMock()
service = LLMModelsService(ap)
service.get_llm_model = AsyncMock(return_value=_existing_llm_data())
@@ -748,8 +623,7 @@ class TestLLMModelsServiceUpdateLLMModel:
ap.model_mgr.provider_dict = {} # Empty
ap.model_mgr.remove_llm_model = AsyncMock()
existing_model = _create_mock_llm_model()
ap.persistence_mgr.execute_async = AsyncMock(return_value=_create_mock_result(first_item=existing_model))
ap.persistence_mgr.execute_async = AsyncMock()
service = LLMModelsService(ap)
service.get_llm_model = AsyncMock(return_value=_existing_llm_data('nonexistent-provider'))
@@ -25,6 +25,7 @@ from langbot.pkg.workspace.errors import WorkspaceNotFoundError
pytestmark = pytest.mark.asyncio
WORKSPACE_UUID = 'workspace-a'
SYSTEM_REQUESTER = 'space-chat-completions'
def _create_mock_provider(
@@ -1005,3 +1006,56 @@ class TestProviderSecretRoundtrip:
)
ap.persistence_mgr.execute_async.assert_not_awaited()
class TestCloudManagedProviderProtection:
@staticmethod
def _service() -> ModelProviderService:
ap = SimpleNamespace(
persistence_mgr=SimpleNamespace(
mode=SimpleNamespace(value='cloud_runtime'),
execute_async=AsyncMock(),
),
model_mgr=SimpleNamespace(),
)
return ModelProviderService(ap)
async def test_cloud_rejects_user_created_system_requester(self):
service = self._service()
with pytest.raises(ValueError, match='reserved'):
await service.create_provider(
WORKSPACE_UUID,
{
'name': 'Fake LangBot Models',
'requester': SYSTEM_REQUESTER,
'base_url': 'https://example.invalid/v1',
'api_keys': ['fake'],
},
)
with pytest.raises(ValueError, match='reserved'):
await service.find_or_create_provider(
WORKSPACE_UUID,
SYSTEM_REQUESTER,
'https://api.langbot.cloud/v1',
['fake'],
)
service.ap.persistence_mgr.execute_async.assert_not_awaited()
async def test_cloud_rejects_update_and_delete_of_managed_provider(self):
service = self._service()
service.get_provider = AsyncMock(
return_value={'uuid': 'system-provider', 'requester': SYSTEM_REQUESTER}
)
with pytest.raises(ValueError, match='managed by Cloud'):
await service.update_provider(WORKSPACE_UUID, 'system-provider', {'name': 'Renamed'})
with pytest.raises(ValueError, match='managed by Cloud'):
await service.delete_provider(WORKSPACE_UUID, 'system-provider')
service.ap.persistence_mgr.execute_async.assert_not_awaited()
async def test_oss_does_not_reserve_space_requester(self):
ap = SimpleNamespace(persistence_mgr=SimpleNamespace(mode=SimpleNamespace(value='oss_compat')))
service = ModelProviderService(ap)
assert service._system_requester_is_reserved(SYSTEM_REQUESTER) is False
+19 -1
View File
@@ -66,6 +66,10 @@ class _Provider:
def __init__(self):
self.manifest_provider = _Manifest()
async def fetch_model_catalog(self, instance_uuid: str):
del instance_uuid
raise AssertionError('not used by bootstrap contract tests')
def bootstrap(self, *, instance_uuid: str, instance_config: dict):
del instance_config
return VerifiedCloudDeployment(
@@ -79,6 +83,7 @@ class _Provider:
entitlement_provider=_Entitlements(),
directory_provider=_Directory(),
manifest_provider=self.manifest_provider,
model_catalog_provider=self,
verification_key_id='root-2026',
)
@@ -228,10 +233,23 @@ async def test_cloud_pgvector_contract_is_fail_closed(pgvector_config, message):
)
async def test_cloud_runtime_allows_explicitly_disabled_box():
config = _cloud_config()
config['box']['enabled'] = False
deployment = await resolve_deployment(
instance_uuid='instance-a',
instance_config=config,
entry_points=lambda: _EntryPoints([_EntryPoint(_Provider())]),
now=1_000,
)
assert isinstance(deployment, VerifiedCloudDeployment)
@pytest.mark.parametrize(
('mutate', 'message'),
[
(lambda config: config['box'].update(enabled=False), 'box.enabled=true'),
(lambda config: config['box'].update(backend='docker'), 'box.backend=nsjail'),
(lambda config: config['box']['runtime'].update(endpoint=''), 'box.runtime.endpoint'),
(
@@ -0,0 +1,378 @@
from __future__ import annotations
import asyncio
import logging
from datetime import UTC, datetime
from types import SimpleNamespace
import pytest
import sqlalchemy
from sqlalchemy.ext.asyncio import create_async_engine
from langbot.pkg.cloud.model_catalog import (
CloudModelCatalogSnapshot,
CloudModelCatalogSyncService,
system_model_uuid,
system_provider_uuid,
)
from langbot.pkg.entity.persistence.base import Base
from langbot.pkg.entity.persistence.model import EmbeddingModel, LLMModel, ModelProvider
from langbot.pkg.entity.persistence.workspace import Workspace
from langbot.pkg.persistence.mgr import PersistenceManager, PersistenceMode
pytestmark = pytest.mark.asyncio
INSTANCE_UUID = 'instance-model-catalog'
WORKSPACE_A = '00000000-0000-4000-8000-000000000001'
WORKSPACE_B = '00000000-0000-4000-8000-000000000002'
OWNER_A = '10000000-0000-4000-8000-000000000001'
OWNER_B = '10000000-0000-4000-8000-000000000002'
class _CatalogProvider:
def __init__(self, snapshot: CloudModelCatalogSnapshot) -> None:
self.snapshot = snapshot
async def fetch_model_catalog(self, instance_uuid: str) -> CloudModelCatalogSnapshot:
assert instance_uuid == INSTANCE_UUID
return self.snapshot
def _snapshot(
*,
key_a: str | None = 'owner-a-key',
model_id: str = 'gpt-test',
include_embedding: bool = True,
) -> CloudModelCatalogSnapshot:
models = [
{
'uuid': 'upstream-chat',
'model_id': model_id,
'category': 'chat',
'llm_abilities': ['chat', 'vision'],
'is_featured': True,
'featured_order': 7,
}
]
if include_embedding:
models.append(
{
'uuid': 'upstream-embedding',
'model_id': 'embedding-test',
'category': 'embedding',
}
)
return CloudModelCatalogSnapshot.model_validate(
{
'instance_uuid': INSTANCE_UUID,
'generated_at': datetime.now(UTC),
'base_url': 'https://api.langbot.cloud/v1/',
'models': models,
'workspaces': [
{
'workspace_uuid': WORKSPACE_A,
'owner_account_uuid': OWNER_A,
'api_key': key_a,
'credits': 25000,
},
{
'workspace_uuid': WORKSPACE_B,
'owner_account_uuid': OWNER_B,
'api_key': 'owner-b-key',
'credits': 5000,
},
],
}
)
async def test_catalog_snapshot_treats_null_model_abilities_as_empty() -> None:
payload = _snapshot().model_dump(mode='json')
payload['models'][0]['llm_abilities'] = None
snapshot = CloudModelCatalogSnapshot.model_validate(payload)
assert snapshot.models[0].llm_abilities == ()
async def test_catalog_reconciles_every_workspace_idempotently_and_tracks_owner_and_downlisting(tmp_path) -> None:
engine = create_async_engine(f'sqlite+aiosqlite:///{tmp_path / "model-catalog.db"}')
manager = PersistenceManager(object(), mode=PersistenceMode.CLOUD_RUNTIME)
manager.db = SimpleNamespace(get_engine=lambda: engine)
bindings = [
SimpleNamespace(instance_uuid=INSTANCE_UUID, workspace_uuid=WORKSPACE_A, placement_generation=1),
SimpleNamespace(instance_uuid=INSTANCE_UUID, workspace_uuid=WORKSPACE_B, placement_generation=1),
]
workspace_service = SimpleNamespace(list_active_execution_bindings=lambda: _async_value(bindings))
reload_counter = _AsyncCounter()
runtime_reload = SimpleNamespace(load_models_from_db=reload_counter)
app = SimpleNamespace(
persistence_mgr=manager,
workspace_service=workspace_service,
model_mgr=runtime_reload,
logger=logging.getLogger(__name__),
)
provider = _CatalogProvider(_snapshot())
service = CloudModelCatalogSyncService(app, provider, INSTANCE_UUID)
try:
async with engine.begin() as connection:
await connection.run_sync(Base.metadata.create_all)
await connection.execute(
sqlalchemy.insert(Workspace),
[
{
'uuid': WORKSPACE_A,
'instance_uuid': INSTANCE_UUID,
'name': 'A',
'slug': 'a',
'source': 'cloud_projection',
},
{
'uuid': WORKSPACE_B,
'instance_uuid': INSTANCE_UUID,
'name': 'B',
'slug': 'b',
'source': 'cloud_projection',
},
],
)
await connection.execute(
sqlalchemy.insert(ModelProvider).values(
uuid='custom-provider',
workspace_uuid=WORKSPACE_A,
name='Custom',
requester='openai-chat-completions',
base_url='https://custom.example/v1',
api_keys=['custom-key'],
)
)
await connection.execute(
sqlalchemy.insert(LLMModel).values(
uuid='custom-model',
workspace_uuid=WORKSPACE_A,
name='custom-model',
provider_uuid='custom-provider',
abilities=['chat'],
extra_args={},
prefered_ranking=0,
)
)
first = await service.sync_once()
assert first == {'workspaces': 2, 'created': 6, 'updated': 0, 'deleted': 0}
assert reload_counter.calls == 1
assert service.get_workspace_credits(WORKSPACE_A) == 25000
assert service.get_workspace_credits(WORKSPACE_B) == 5000
async with engine.connect() as connection:
providers = (
await connection.execute(
sqlalchemy.select(
ModelProvider.uuid,
ModelProvider.workspace_uuid,
ModelProvider.api_keys,
).where(ModelProvider.requester == 'space-chat-completions')
)
).all()
assert {item.workspace_uuid for item in providers} == {WORKSPACE_A, WORKSPACE_B}
assert {item.uuid for item in providers} == {
system_provider_uuid(WORKSPACE_A),
system_provider_uuid(WORKSPACE_B),
}
assert {item.workspace_uuid: item.api_keys for item in providers} == {
WORKSPACE_A: ['owner-a-key'],
WORKSPACE_B: ['owner-b-key'],
}
assert await connection.scalar(sqlalchemy.select(sqlalchemy.func.count()).select_from(LLMModel)) == 3
assert await connection.scalar(sqlalchemy.select(sqlalchemy.func.count()).select_from(EmbeddingModel)) == 2
second = await service.sync_once()
assert second == {'workspaces': 2, 'created': 0, 'updated': 0, 'deleted': 0}
assert reload_counter.calls == 1
provider.snapshot = _snapshot(
key_a='new-owner-key',
model_id='gpt-renamed',
include_embedding=False,
)
third = await service.sync_once()
assert third == {'workspaces': 2, 'created': 0, 'updated': 3, 'deleted': 2}
assert reload_counter.calls == 2
async with engine.connect() as connection:
provider_a_keys = await connection.scalar(
sqlalchemy.select(ModelProvider.api_keys).where(ModelProvider.uuid == system_provider_uuid(WORKSPACE_A))
)
assert provider_a_keys == ['new-owner-key']
system_model_names = (
(
await connection.execute(
sqlalchemy.select(LLMModel.name).where(
LLMModel.provider_uuid.in_(
[system_provider_uuid(WORKSPACE_A), system_provider_uuid(WORKSPACE_B)]
)
)
)
)
.scalars()
.all()
)
assert set(system_model_names) == {'gpt-renamed'}
assert await connection.scalar(sqlalchemy.select(sqlalchemy.func.count()).select_from(EmbeddingModel)) == 0
assert (
await connection.scalar(
sqlalchemy.select(sqlalchemy.func.count())
.select_from(ModelProvider)
.where(ModelProvider.uuid == 'custom-provider')
)
== 1
)
assert (
await connection.scalar(
sqlalchemy.select(sqlalchemy.func.count())
.select_from(LLMModel)
.where(LLMModel.uuid == 'custom-model')
)
== 1
)
provider.snapshot = _snapshot(key_a=None, model_id='gpt-renamed', include_embedding=False)
fourth = await service.sync_once()
assert fourth == {'workspaces': 2, 'created': 0, 'updated': 1, 'deleted': 0}
assert reload_counter.calls == 3
async with engine.connect() as connection:
provider_a_keys = await connection.scalar(
sqlalchemy.select(ModelProvider.api_keys).where(ModelProvider.uuid == system_provider_uuid(WORKSPACE_A))
)
assert provider_a_keys == []
finally:
await engine.dispose()
def test_workspace_scoped_ids_are_stable_and_secrets_are_redacted() -> None:
assert system_provider_uuid(WORKSPACE_A) == system_provider_uuid(WORKSPACE_A)
assert system_provider_uuid(WORKSPACE_A) != system_provider_uuid(WORKSPACE_B)
assert system_model_uuid(WORKSPACE_A, 'chat', 'upstream') != system_model_uuid(WORKSPACE_B, 'chat', 'upstream')
snapshot = _snapshot()
assert 'owner-a-key' not in repr(snapshot)
async def test_snapshot_must_cover_every_active_workspace() -> None:
snapshot = _snapshot().model_copy(update={'workspaces': _snapshot().workspaces[:1]})
app = SimpleNamespace(
workspace_service=SimpleNamespace(
list_active_execution_bindings=lambda: _async_value(
[SimpleNamespace(workspace_uuid=WORKSPACE_A), SimpleNamespace(workspace_uuid=WORKSPACE_B)]
)
),
logger=logging.getLogger(__name__),
)
service = CloudModelCatalogSyncService(app, _CatalogProvider(snapshot), INSTANCE_UUID)
with pytest.raises(ValueError, match='missing billing projections for 1 active Workspaces'):
await service.sync_once()
async def _async_value(value):
return value
class _AsyncCounter:
def __init__(self) -> None:
self.calls = 0
async def __call__(self) -> None:
self.calls += 1
async def test_partial_workspace_failure_reloads_already_committed_changes() -> None:
bindings = [
SimpleNamespace(workspace_uuid=WORKSPACE_A),
SimpleNamespace(workspace_uuid=WORKSPACE_B),
]
reload_counter = _AsyncCounter()
app = SimpleNamespace(
workspace_service=SimpleNamespace(list_active_execution_bindings=lambda: _async_value(bindings)),
model_mgr=SimpleNamespace(load_models_from_db=reload_counter),
logger=logging.getLogger(__name__),
)
service = CloudModelCatalogSyncService(app, _CatalogProvider(_snapshot()), INSTANCE_UUID)
calls = 0
async def sync_workspace(*_args):
nonlocal calls
calls += 1
if calls == 1:
return {'created': 1, 'updated': 0, 'deleted': 0}
raise RuntimeError('second Workspace failed')
service._sync_workspace = sync_workspace # type: ignore[method-assign]
with pytest.raises(RuntimeError, match='second Workspace failed'):
await service.sync_once()
assert service.get_workspace_credits(WORKSPACE_A) == 25000
assert service.get_workspace_credits(WORKSPACE_B) is None
assert reload_counter.calls == 1
async def test_failed_runtime_reload_is_retried_after_noop_sync() -> None:
bindings = [SimpleNamespace(workspace_uuid=WORKSPACE_A)]
class _FlakyReload:
def __init__(self) -> None:
self.calls = 0
async def __call__(self) -> None:
self.calls += 1
if self.calls == 1:
raise RuntimeError('reload failed')
runtime_reload = _FlakyReload()
app = SimpleNamespace(
workspace_service=SimpleNamespace(list_active_execution_bindings=lambda: _async_value(bindings)),
model_mgr=SimpleNamespace(load_models_from_db=runtime_reload),
logger=logging.getLogger(__name__),
)
service = CloudModelCatalogSyncService(app, _CatalogProvider(_snapshot()), INSTANCE_UUID)
calls = 0
async def sync_workspace(*_args):
nonlocal calls
calls += 1
if calls == 1:
return {'created': 1, 'updated': 0, 'deleted': 0}
return {'created': 0, 'updated': 0, 'deleted': 0}
service._sync_workspace = sync_workspace # type: ignore[method-assign]
with pytest.raises(RuntimeError, match='reload failed'):
await service.sync_once()
summary = await service.sync_once()
assert summary == {'workspaces': 1, 'created': 0, 'updated': 0, 'deleted': 0}
assert runtime_reload.calls == 2
async def test_background_sync_log_redacts_exception_message(caplog) -> None:
secret = 'owner-secret-api-key'
attempted = asyncio.Event()
class _FailingProvider:
async def fetch_model_catalog(self, instance_uuid: str) -> CloudModelCatalogSnapshot:
del instance_uuid
attempted.set()
raise RuntimeError(f'database parameters include {secret}')
app = SimpleNamespace(logger=logging.getLogger(__name__))
service = CloudModelCatalogSyncService(app, _FailingProvider(), INSTANCE_UUID)
service.sync_interval_seconds = 0.001
task = asyncio.create_task(service.run())
try:
await asyncio.wait_for(attempted.wait(), timeout=1)
await asyncio.sleep(0.01)
finally:
task.cancel()
with pytest.raises(asyncio.CancelledError):
await task
assert secret not in caplog.text
assert 'Cloud model catalog synchronization failed (RuntimeError)' in caplog.text
@@ -961,6 +961,7 @@ async def test_scoped_session_rejects_raw_or_unapproved_sql(
sa.select(sa.func.coalesce(sa.func.sum(sa.literal(1)), sa.literal(0))),
sa.select(
sa.func.now(),
sa.func.date_trunc('hour', sa.column('timestamp')),
sa.func.length(sa.literal('value')),
sa.func.nullif(sa.literal('value'), sa.literal('')),
),
@@ -11,6 +11,7 @@ from sqlalchemy.ext.asyncio import create_async_engine
from langbot.pkg.persistence.mgr import PersistenceManager, PersistenceMode
from langbot.pkg.persistence.tenant_uow import PersistenceScopeKind
from langbot.pkg.pipeline.controller import Controller
from langbot.pkg.pipeline.pool import QueryPool
from langbot.pkg.workspace.errors import WorkspaceGenerationMismatchError
@@ -143,3 +144,31 @@ async def test_controller_revalidates_generation_before_running_pipeline(
runtime_pipeline.run.assert_awaited_once_with(sample_query)
query_pool.remove_query.assert_awaited_once_with(sample_query)
session._semaphore.release.assert_called_once_with()
@pytest.mark.asyncio
async def test_controller_schedules_query_without_removing_it_twice(mock_app, sample_query):
query_pool = QueryPool()
query_pool.queries.append(sample_query)
mock_app.query_pool = query_pool
mock_app.sess_mgr.get_session = AsyncMock(return_value=SimpleNamespace(_semaphore=asyncio.Semaphore(1)))
scheduler_errors: list[str] = []
def stop_on_scheduler_error(message):
scheduler_errors.append(str(message))
raise asyncio.CancelledError
def stop_after_scheduling(process_coro, **_kwargs):
process_coro.close()
raise asyncio.CancelledError
mock_app.logger.error.side_effect = stop_on_scheduler_error
mock_app.task_mgr.create_task.side_effect = stop_after_scheduling
controller = Controller(mock_app)
with pytest.raises(asyncio.CancelledError):
await controller.consumer()
assert scheduler_errors == []
assert query_pool.queries == []
@@ -1,6 +1,7 @@
"""Regression tests for isolated embed-widget conversations."""
import asyncio
import contextvars
from pathlib import Path
from unittest.mock import AsyncMock, Mock
@@ -204,6 +205,48 @@ async def test_embed_event_uses_stable_session_launcher(monkeypatch):
assert received[0].sender.id == f'websocket_pipeline-1:{session_id}'
@pytest.mark.asyncio
async def test_pipeline_override_survives_detached_listener_task(monkeypatch):
manager = WebSocketConnectionManager()
connection = await manager.add_connection(
websocket=Mock(),
scope=SCOPE_A,
pipeline_uuid='pipeline-1',
session_type='person',
)
monkeypatch.setattr(websocket_adapter_module, 'ws_connection_manager', manager)
class DetachedTaskManager:
def __init__(self):
self.tasks = []
def create_task(self, coro, **_kwargs):
task = asyncio.create_task(coro, context=contextvars.Context())
self.tasks.append(task)
return Mock(task=task)
task_manager = DetachedTaskManager()
adapter = WebSocketAdapter.model_construct(
ap=Mock(task_mgr=task_manager),
logger=_adapter_logger(),
)
adapter.websocket_person_session = WebSocketSession(id='person')
adapter.websocket_group_session = WebSocketSession(id='group')
pipeline_overrides = []
async def listener(_event, callback_adapter):
pipeline_overrides.append(callback_adapter.get_pipeline_uuid_override())
adapter.listeners = {platform_events.FriendMessage: listener}
await adapter.handle_websocket_message(
connection,
{'message': [{'type': 'Plain', 'text': 'hello'}], 'stream': False},
)
await asyncio.gather(*task_manager.tasks)
assert pipeline_overrides == ['pipeline-1']
@pytest.mark.asyncio
async def test_embed_group_event_uses_stable_session_launcher(monkeypatch):
manager = WebSocketConnectionManager()
@@ -1304,7 +1304,6 @@ class TestScanModels:
)
requester._supports_function_calling = Mock(side_effect=lambda model_id: model_id == 'gpt-4o')
requester._supports_vision = Mock(side_effect=lambda model_id: model_id == 'gpt-4o')
requester._supports_reasoning = Mock(side_effect=lambda model_id: model_id == 'o3')
requester._safe_context_length = Mock(side_effect=lambda model_id: 128000 if model_id == 'gpt-4o' else None)
mock_response = Mock()
@@ -1312,7 +1311,6 @@ class TestScanModels:
return_value={
'data': [
{'id': 'gpt-4o'},
{'id': 'o3'},
{'id': 'text-embedding-3-small'},
{'id': 'bge-reranker-v2'},
]
@@ -1329,7 +1327,6 @@ class TestScanModels:
by_id = {model['id']: model for model in result['models']}
assert by_id['gpt-4o']['abilities'] == ['func_call', 'vision']
assert by_id['gpt-4o']['context_length'] == 128000
assert by_id['o3']['abilities'] == ['reasoning']
assert by_id['text-embedding-3-small']['type'] == 'embedding'
assert by_id['bge-reranker-v2']['type'] == 'rerank'
@@ -1377,8 +1374,8 @@ class TestScanModels:
)
with patch.object(litellmchat.litellm, 'get_model_info') as mock_get_model_info:
mock_get_model_info.side_effect = lambda model: (
{'max_input_tokens': 131072} if model == 'moonshot/moonshot-v1-128k' else {}
mock_get_model_info.side_effect = (
lambda model: {'max_input_tokens': 131072} if model == 'moonshot/moonshot-v1-128k' else {}
)
assert requester._safe_context_length('moonshot-v1-128k') == 131072
@@ -1407,8 +1404,8 @@ class TestScanModels:
)
with patch.object(litellmchat.litellm, 'supports_function_calling') as mock_supports_function_calling:
mock_supports_function_calling.side_effect = lambda model, custom_llm_provider=None: (
model == 'moonshot/kimi-k2.6' and custom_llm_provider is None
mock_supports_function_calling.side_effect = (
lambda model, custom_llm_provider=None: model == 'moonshot/kimi-k2.6' and custom_llm_provider is None
)
assert requester._supports_function_calling('kimi-k2.6') is True
+1 -136
View File
@@ -249,11 +249,7 @@ async def test_updated_llm_model_is_immediately_usable_by_local_agent_pipeline()
'ai': {
'runner': {'runner': 'local-agent'},
'local-agent': {
'model': {
'primary': model_uuid,
'fallbacks': [],
'reasoning': {model_uuid: 'high'},
},
'model': {'primary': model_uuid, 'fallbacks': []},
'prompt': [],
'knowledge-bases': [],
},
@@ -297,134 +293,3 @@ async def test_updated_llm_model_is_immediately_usable_by_local_agent_pipeline()
candidates = await LocalAgentRunner._get_model_candidates(runner, processed_query)
assert [model.model_entity.uuid for model in candidates] == [model_uuid]
assert candidates[0].reasoning_config_override == {'level': 'high'}
@pytest.mark.asyncio
async def test_local_agent_applies_reasoning_per_fallback_model():
execution_context = ExecutionContext(
instance_uuid='instance-test',
workspace_uuid='workspace-test',
placement_generation=1,
)
provider = Mock(
execution_context=execution_context,
provider_entity=persistence_model.ModelProvider(
workspace_uuid='workspace-test',
uuid='provider',
name='provider',
requester='openai',
base_url='https://example.com',
api_keys=[],
),
)
primary = requester.RuntimeLLMModel(
execution_context,
persistence_model.LLMModel(
workspace_uuid='workspace-test',
uuid='primary-model',
name='primary',
provider_uuid='provider',
abilities=['reasoning'],
extra_args={},
),
provider,
)
fallback = requester.RuntimeLLMModel(
execution_context,
persistence_model.LLMModel(
workspace_uuid='workspace-test',
uuid='fallback-model',
name='fallback',
provider_uuid='provider',
abilities=['reasoning'],
extra_args={},
),
provider,
)
models = {'primary-model': primary, 'fallback-model': fallback}
runner = SimpleNamespace(
ap=SimpleNamespace(
model_mgr=SimpleNamespace(
get_model_by_uuid=AsyncMock(side_effect=lambda _context, model_uuid: models[model_uuid]),
),
logger=Mock(),
)
)
query = SimpleNamespace(
use_llm_model_uuid='primary-model',
variables={'_fallback_model_uuids': ['fallback-model']},
pipeline_config={
'ai': {
'local-agent': {
'model': {
'primary': 'primary-model',
'fallbacks': ['fallback-model'],
'reasoning': {
'primary-model': 'low',
'fallback-model': 'high',
},
}
}
}
},
_execution_context=execution_context,
)
candidates = await LocalAgentRunner._get_model_candidates(runner, query)
assert [candidate.reasoning_config_override for candidate in candidates] == [
{'level': 'low'},
{'level': 'high'},
]
assert candidates[0] is not primary
assert candidates[1] is not fallback
assert primary.reasoning_config_override is None
assert fallback.reasoning_config_override is None
def test_local_agent_rejects_invalid_pipeline_reasoning_level():
execution_context = ExecutionContext(
instance_uuid='instance-test',
workspace_uuid='workspace-test',
placement_generation=1,
)
provider = Mock(
execution_context=execution_context,
provider_entity=persistence_model.ModelProvider(
workspace_uuid='workspace-test',
uuid='provider',
name='provider',
requester='openai',
base_url='https://example.com',
api_keys=[],
),
)
model = requester.RuntimeLLMModel(
execution_context,
persistence_model.LLMModel(
workspace_uuid='workspace-test',
uuid='primary-model',
name='primary',
provider_uuid='provider',
abilities=['reasoning'],
extra_args={},
),
provider,
)
query = SimpleNamespace(
pipeline_config={
'ai': {
'local-agent': {
'model': {
'primary': 'primary-model',
'fallbacks': [],
'reasoning': {'primary-model': 'turbo'},
}
}
}
}
)
with pytest.raises(ValueError, match='Unsupported reasoning level'):
LocalAgentRunner._apply_pipeline_reasoning_config(query, model)
@@ -1,408 +0,0 @@
from __future__ import annotations
from types import SimpleNamespace
from unittest.mock import AsyncMock
import pytest
import langbot_plugin.api.entities.builtin.provider.message as provider_message
from langbot.pkg.api.http.context import ExecutionContext
from langbot.pkg.entity.persistence import model as persistence_model
from langbot.pkg.provider.modelmgr import errors, reasoning, requester
from langbot.pkg.provider.modelmgr.requesters import litellmchat
from langbot.pkg.provider.modelmgr.requesters.litellmchat import LiteLLMRequester
from langbot.pkg.provider.runners.localagent import _StreamAccumulator
def _runtime_model(
request: LiteLLMRequester,
level: str = 'provider_default',
name: str = 'reasoning-model',
abilities: list[str] | None = None,
) -> requester.RuntimeLLMModel:
execution_context = ExecutionContext(
instance_uuid='instance-test',
workspace_uuid='workspace-test',
placement_generation=1,
)
entity = persistence_model.LLMModel(
workspace_uuid='workspace-test',
uuid='reasoning-model',
name=name,
provider_uuid='provider-test',
abilities=abilities if abilities is not None else ['reasoning'],
reasoning_config={'level': level},
extra_args={},
)
provider = SimpleNamespace(
execution_context=execution_context,
provider_entity=persistence_model.ModelProvider(
workspace_uuid='workspace-test',
uuid='provider-test',
name='provider',
requester='openai',
base_url='https://example.com',
api_keys=[],
),
requester=request,
token_mgr=SimpleNamespace(),
)
return requester.RuntimeLLMModel(execution_context, entity, provider)
def _requester(provider: str = '') -> LiteLLMRequester:
return LiteLLMRequester(SimpleNamespace(), {'custom_llm_provider': provider})
def test_reasoning_config_normalization_and_conflicts():
assert reasoning.normalize_reasoning_config(None) == {'level': 'provider_default'}
assert reasoning.normalize_reasoning_config({}) == {'level': 'provider_default'}
assert reasoning.validate_reasoning_config(
{'level': 'high'},
['reasoning'],
{},
) == {'level': 'high'}
with pytest.raises(ValueError, match='Unsupported reasoning level'):
reasoning.normalize_reasoning_config({'level': 'turbo'})
with pytest.raises(ValueError, match='reasoning ability'):
reasoning.validate_reasoning_config({'level': 'low'}, [], {})
with pytest.raises(ValueError, match='extra_body.thinking_budget'):
reasoning.validate_reasoning_config(
{'level': 'low'},
['reasoning'],
{'extra_body': {'thinking_budget': 1024}},
)
def test_manual_reasoning_model_exposes_conservative_effort_levels(monkeypatch):
request = _requester()
monkeypatch.setattr(request, '_supports_reasoning', lambda _: False)
monkeypatch.setattr(request, '_safe_model_info', lambda _: {})
capabilities = request.get_reasoning_capabilities(_runtime_model(request))
assert capabilities == {
'supported': True,
'levels': ['provider_default', 'low', 'medium', 'high'],
'source': 'manual',
}
def test_provider_protocol_exposes_reasoning_for_unknown_model(monkeypatch):
request = _requester('openai')
monkeypatch.setattr(request, '_supports_reasoning', lambda _: False)
monkeypatch.setattr(request, '_safe_model_info', lambda _: pytest.fail('metadata should not be queried'))
capabilities = request.get_reasoning_capabilities(
_runtime_model(request, name='future-reasoning-model', abilities=[])
)
assert capabilities == {
'supported': True,
'levels': ['provider_default', 'low', 'medium', 'high'],
'source': 'provider',
}
def test_unknown_unmarked_model_without_provider_stays_safe(monkeypatch):
request = _requester()
monkeypatch.setattr(request, '_supports_reasoning', lambda _: False)
capabilities = request.get_reasoning_capabilities(
_runtime_model(request, name='unknown-model', abilities=[])
)
assert capabilities == {
'supported': False,
'levels': ['provider_default'],
'source': 'unknown',
}
def test_mimo_native_model_uses_known_equivalent_litellm_metadata(monkeypatch):
request = _requester('openai')
def supports_reasoning(model: str, custom_llm_provider: str | None = None) -> bool:
return model == 'openrouter/xiaomi/mimo-v2.5'
def get_model_info(model: str) -> dict:
if model == 'openrouter/xiaomi/mimo-v2.5':
return {'supports_reasoning': True}
raise ValueError('unknown model')
monkeypatch.setattr(litellmchat.litellm, 'supports_reasoning', supports_reasoning)
monkeypatch.setattr(litellmchat.litellm, 'get_model_info', get_model_info)
capabilities = request.get_reasoning_capabilities(
_runtime_model(request, name='mimo-v2.5', abilities=[])
)
assert capabilities == {
'supported': True,
'levels': ['provider_default', 'minimal', 'low', 'medium', 'high'],
'source': 'litellm',
}
def test_openai_reasoning_levels_follow_litellm_metadata(monkeypatch):
request = _requester('openai')
monkeypatch.setattr(request, '_supports_reasoning', lambda _: True)
monkeypatch.setattr(
request,
'_safe_model_info',
lambda _: {
'supports_none_reasoning_effort': True,
'supports_minimal_reasoning_effort': False,
'supports_low_reasoning_effort': True,
'supports_xhigh_reasoning_effort': True,
},
)
capabilities = request.get_reasoning_capabilities(_runtime_model(request, name='gpt-5'))
assert capabilities['source'] == 'litellm'
assert capabilities['levels'] == [
'provider_default',
'disabled',
'low',
'medium',
'high',
'xhigh',
]
def test_reasoning_argument_translation(monkeypatch):
openai_request = _requester('openai')
monkeypatch.setattr(openai_request, '_supports_reasoning', lambda _: True)
monkeypatch.setattr(
openai_request,
'_safe_model_info',
lambda _: {'supports_none_reasoning_effort': True},
)
assert openai_request._build_reasoning_args(_runtime_model(openai_request, 'provider_default')) == {}
assert openai_request._build_reasoning_args(_runtime_model(openai_request, 'disabled')) == {
'reasoning_effort': 'none'
}
assert openai_request._build_reasoning_args(_runtime_model(openai_request, 'high')) == {'reasoning_effort': 'high'}
deepseek_request = _requester('deepseek')
monkeypatch.setattr(deepseek_request, '_supports_reasoning', lambda _: False)
monkeypatch.setattr(deepseek_request, '_safe_model_info', lambda _: {})
assert deepseek_request._build_reasoning_args(
_runtime_model(deepseek_request, 'enabled', name='deepseek-chat')
) == {'thinking': {'type': 'enabled'}}
def test_pipeline_reasoning_override_takes_precedence(monkeypatch):
request = _requester('openai')
monkeypatch.setattr(request, '_supports_reasoning', lambda _: True)
monkeypatch.setattr(request, '_safe_model_info', lambda _: {})
model = _runtime_model(request, 'high', name='gpt-5')
model.reasoning_config_override = {'level': 'provider_default'}
assert request._build_reasoning_args(model) == {}
model.reasoning_config_override = {'level': 'low'}
assert request._build_reasoning_args(model) == {'reasoning_effort': 'low'}
def test_deepseek_provider_is_inferred_from_model_name(monkeypatch):
request = _requester()
monkeypatch.setattr(request, '_supports_reasoning', lambda _: True)
monkeypatch.setattr(request, '_safe_model_info', lambda _: {})
capabilities = request.get_reasoning_capabilities(_runtime_model(request, name='deepseek-chat'))
assert capabilities['levels'] == ['provider_default', 'disabled', 'enabled']
def test_always_on_reasoning_models_do_not_offer_disabled(monkeypatch):
deepseek_request = _requester('deepseek')
monkeypatch.setattr(deepseek_request, '_supports_reasoning', lambda _: True)
monkeypatch.setattr(deepseek_request, '_safe_model_info', lambda _: {})
deepseek_capabilities = deepseek_request.get_reasoning_capabilities(
_runtime_model(deepseek_request, name='deepseek-r1')
)
assert deepseek_capabilities['levels'] == ['provider_default', 'enabled']
gemini_request = _requester('gemini')
monkeypatch.setattr(gemini_request, '_supports_reasoning', lambda _: True)
monkeypatch.setattr(
gemini_request,
'_safe_model_info',
lambda _: {'supports_none_reasoning_effort': True},
)
gemini_capabilities = gemini_request.get_reasoning_capabilities(_runtime_model(gemini_request, name='gemini-3-pro'))
assert 'disabled' not in gemini_capabilities['levels']
with pytest.raises(errors.RequesterError, match='not supported'):
gemini_request._build_reasoning_args(_runtime_model(gemini_request, 'disabled', name='gemini-3-pro'))
def test_toggle_and_effort_provider_capabilities(monkeypatch):
ollama_request = _requester('ollama')
monkeypatch.setattr(ollama_request, '_supports_reasoning', lambda _: False)
monkeypatch.setattr(ollama_request, '_safe_model_info', lambda _: {})
toggle_capabilities = ollama_request.get_reasoning_capabilities(_runtime_model(ollama_request, name='qwen3'))
assert toggle_capabilities['levels'] == [
'provider_default',
'disabled',
'enabled',
]
assert ollama_request._build_reasoning_args(_runtime_model(ollama_request, 'enabled', name='qwen3')) == {
'reasoning_effort': 'low'
}
effort_capabilities = ollama_request.get_reasoning_capabilities(_runtime_model(ollama_request, name='gpt-oss:20b'))
assert effort_capabilities['levels'] == [
'provider_default',
'disabled',
'low',
'medium',
'high',
]
assert ollama_request._build_reasoning_args(_runtime_model(ollama_request, 'high', name='gpt-oss:20b')) == {
'reasoning_effort': 'high'
}
volcengine_request = _requester('volcengine')
monkeypatch.setattr(volcengine_request, '_supports_reasoning', lambda _: False)
monkeypatch.setattr(volcengine_request, '_safe_model_info', lambda _: {})
assert volcengine_request._build_reasoning_args(
_runtime_model(volcengine_request, 'disabled', name='doubao-seed')
) == {'thinking': {'type': 'disabled'}}
def test_explicit_unsupported_level_raises(monkeypatch):
request = _requester()
monkeypatch.setattr(request, '_supports_reasoning', lambda _: False)
monkeypatch.setattr(request, '_safe_model_info', lambda _: {})
with pytest.raises(errors.RequesterError, match='Available levels: provider_default'):
request._build_reasoning_args(_runtime_model(request, 'high', abilities=[]))
def test_provider_inference_rejects_levels_outside_conservative_profile(monkeypatch):
request = _requester('openai')
monkeypatch.setattr(request, '_supports_reasoning', lambda _: False)
with pytest.raises(errors.RequesterError, match='Available levels: provider_default, low, medium, high'):
request._build_reasoning_args(_runtime_model(request, 'xhigh', abilities=[]))
@pytest.mark.asyncio
async def test_completion_args_reject_reasoning_extra_arg_conflicts(monkeypatch):
request = _requester('openai')
monkeypatch.setattr(request, '_supports_reasoning', lambda _: True)
monkeypatch.setattr(request, '_safe_model_info', lambda _: {})
model = _runtime_model(request, 'high')
model.model_entity.extra_args = {'reasoning_effort': 'low'}
model.provider.token_mgr.get_token = lambda: 'test-token'
with pytest.raises(errors.RequesterError, match='conflicts with advanced parameters'):
await request._build_completion_args(model, [])
@pytest.mark.asyncio
async def test_openai_compatible_reasoning_effort_is_explicitly_allowed(monkeypatch):
request = _requester('openai')
monkeypatch.setattr(request, '_supports_reasoning', lambda _: True)
monkeypatch.setattr(request, '_safe_model_info', lambda _: {})
model = _runtime_model(request, 'high', name='deepseek-v4-flash')
model.model_entity.extra_args = {'allowed_openai_params': ['custom_extension']}
model.provider.token_mgr.get_token = lambda: 'test-token'
args = await request._build_completion_args(model, [])
assert args['reasoning_effort'] == 'high'
assert args['allowed_openai_params'] == ['custom_extension', 'reasoning_effort']
@pytest.mark.asyncio
async def test_provider_default_does_not_allow_or_send_reasoning_effort():
request = _requester('openai')
model = _runtime_model(request, 'provider_default', name='deepseek-v4-flash')
model.provider.token_mgr.get_token = lambda: 'test-token'
args = await request._build_completion_args(model, [])
assert 'reasoning_effort' not in args
assert 'allowed_openai_params' not in args
class _Dumpable:
def __init__(self, data: dict):
self.data = data
def model_dump(self) -> dict:
return dict(self.data)
@pytest.mark.asyncio
async def test_non_stream_reasoning_content_is_preserved(monkeypatch):
request = _requester('deepseek')
request._build_completion_args = AsyncMock(return_value={})
response = SimpleNamespace(
choices=[
SimpleNamespace(
message=_Dumpable(
{
'role': 'assistant',
'content': 'answer',
'reasoning_content': 'private reasoning',
}
)
)
],
usage=None,
)
monkeypatch.setattr(litellmchat, 'acompletion', AsyncMock(return_value=response))
message, _ = await request.invoke_llm(None, _runtime_model(request), [], remove_think=True)
assert message.content == 'answer'
assert message.provider_specific_fields == {'reasoning_content': 'private reasoning'}
@pytest.mark.asyncio
async def test_stream_reasoning_round_trip_with_hidden_display(monkeypatch):
request = _requester('deepseek')
request._build_completion_args = AsyncMock(return_value={})
async def chunks():
yield SimpleNamespace(
choices=[
SimpleNamespace(
delta=_Dumpable({'role': 'assistant', 'reasoning_content': 'private '}),
finish_reason=None,
)
],
usage=None,
)
yield SimpleNamespace(
choices=[
SimpleNamespace(
delta=_Dumpable({'content': 'answer'}),
finish_reason='stop',
)
],
usage=None,
)
monkeypatch.setattr(litellmchat, 'acompletion', AsyncMock(return_value=chunks()))
accumulator = _StreamAccumulator(remove_think=True)
emitted: provider_message.MessageChunk | None = None
async for chunk in request.invoke_llm_stream(
None,
_runtime_model(request),
[],
remove_think=True,
):
emitted = accumulator.add(chunk) or emitted
assert emitted is not None
assert emitted.content == 'answer'
assert emitted.provider_specific_fields == {'reasoning_content': 'private '}
@@ -400,7 +400,6 @@ def test_runtime_llm_model_initialization(runtime_llm_model, fake_persistence_da
assert model.model_entity.abilities == model_entity.abilities
assert model.model_entity.extra_args == model_entity.extra_args
assert model.provider is not None
assert model.reasoning_config_override is None
def test_runtime_llm_model_provider_ref(runtime_llm_model):
+4 -2
View File
@@ -139,8 +139,8 @@ class TestBuildHeartbeatPayload:
}
ap.workspace_service.list_active_execution_bindings = AsyncMock(
return_value=[
SimpleNamespace(workspace_uuid='workspace-a'),
SimpleNamespace(workspace_uuid='workspace-b'),
SimpleNamespace(workspace_uuid='workspace-a', placement_generation=7),
SimpleNamespace(workspace_uuid='workspace-b', placement_generation=9),
],
)
ap.platform_mgr._bots_by_key[('instance-a', 'workspace-b', 'bot-b')] = SimpleNamespace(
@@ -159,10 +159,12 @@ class TestBuildHeartbeatPayload:
assert by_workspace['workspace-a']['plugin_count'] == 2
assert by_workspace['workspace-a']['extension_count'] == 5
assert by_workspace['workspace-a']['skill_count'] == 2
assert by_workspace['workspace-a']['execution_generation'] == 7
assert by_workspace['workspace-a']['adapters'] == ['WorkspaceAAdapter']
assert by_workspace['workspace-b']['bot_count'] == 1
assert by_workspace['workspace-b']['pipeline_count'] == 0
assert by_workspace['workspace-b']['skill_count'] == 1
assert by_workspace['workspace-b']['execution_generation'] == 9
assert by_workspace['workspace-b']['adapters'] == ['WorkspaceBAdapter']
assert 'workspace_resources' not in by_workspace['workspace-a']
ap.persistence_mgr.execute_async.assert_not_awaited()
@@ -203,20 +203,21 @@ async def test_last_owner_cannot_be_demoted(collaboration_context):
second_membership,
)
promoted = await service.update_member_role(
workspace.uuid,
second.uuid,
'owner',
owner_membership,
)
assert promoted.role == 'owner'
demoted = await service.update_member_role(
workspace.uuid,
owner_membership.account_uuid,
'admin',
owner_membership,
)
assert demoted.role == 'admin'
with pytest.raises(MembershipPermissionError, match='cannot be transferred'):
await service.update_member_role(
workspace.uuid,
second.uuid,
'owner',
owner_membership,
)
with pytest.raises(LastOwnerError):
await service.update_member_role(
workspace.uuid,
owner_membership.account_uuid,
'admin',
owner_membership,
)
async def test_workspace_selector_requires_membership(collaboration_context):
Generated
+4 -4
View File
@@ -1999,7 +1999,7 @@ wheels = [
[[package]]
name = "langbot"
version = "4.10.6"
version = "4.10.7"
source = { editable = "." }
dependencies = [
{ name = "aiocqhttp" },
@@ -2116,7 +2116,7 @@ requires-dist = [
{ name = "ebooklib", specifier = ">=0.18" },
{ name = "gewechat-client", specifier = ">=0.1.5" },
{ name = "html2text", specifier = ">=2024.2.26" },
{ name = "langbot-plugin", git = "https://github.com/langbot-app/langbot-plugin-sdk.git?rev=1d65ed301a6afc52150a998043f73cd6032c8162" },
{ name = "langbot-plugin", git = "https://github.com/langbot-app/langbot-plugin-sdk.git?rev=101e453e916b39465a6294d6471c9eaae8725d5c" },
{ name = "langchain", specifier = ">=1.3.9" },
{ name = "langchain-core", specifier = ">=1.3.3" },
{ name = "langchain-text-splitters", specifier = ">=1.1.2" },
@@ -2182,8 +2182,8 @@ dev = [
[[package]]
name = "langbot-plugin"
version = "0.4.18"
source = { git = "https://github.com/langbot-app/langbot-plugin-sdk.git?rev=1d65ed301a6afc52150a998043f73cd6032c8162#1d65ed301a6afc52150a998043f73cd6032c8162" }
version = "0.5.0"
source = { git = "https://github.com/langbot-app/langbot-plugin-sdk.git?rev=101e453e916b39465a6294d6471c9eaae8725d5c#101e453e916b39465a6294d6471c9eaae8725d5c" }
dependencies = [
{ name = "aiofiles" },
{ name = "aiohttp" },
-1
View File
@@ -48,7 +48,6 @@
"@radix-ui/react-scroll-area": "^1.2.9",
"@radix-ui/react-select": "^2.2.4",
"@radix-ui/react-separator": "^1.1.8",
"@radix-ui/react-slider": "^1.4.7",
"@radix-ui/react-slot": "^1.2.3",
"@radix-ui/react-switch": "^1.2.4",
"@radix-ui/react-tabs": "^1.1.11",
-207
View File
@@ -72,9 +72,6 @@ dependencies:
'@radix-ui/react-separator':
specifier: ^1.1.8
version: 1.1.8(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1)
'@radix-ui/react-slider':
specifier: ^1.4.7
version: 1.4.7(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1)
'@radix-ui/react-slot':
specifier: ^1.2.3
version: 1.2.4(@types/react@19.2.10)(react@19.2.1)
@@ -558,18 +555,10 @@ packages:
resolution: {integrity: sha512-MkKCwxlXTgz6CFoJx3pCwn07GKp36+aZyu/u2Ln2VrA5DcdyCZkASEDBTd8x5whTQQL5CiYf4prXKLcgQdv29g==}
dev: false
/@radix-ui/number@1.1.3:
resolution: {integrity: sha512-Road2bidD0uu/1BGDOWNdPI06g0lIRy6IF9GZcIrDK2KGItfor8IQwQa+yM2ERgHM1MmHxaxpTzk0/Jp42lNfA==}
dev: false
/@radix-ui/primitive@1.1.3:
resolution: {integrity: sha512-JTF99U/6XIjCBo0wqkU5sK10glYe27MRRsfwoiq5zzOEZLHU3A3KCMa5X/azekYRCJ0HlwI0crAXS/5dEHTzDg==}
dev: false
/@radix-ui/primitive@1.1.7:
resolution: {integrity: sha512-rqWnm76nYT8HoNNqEjpgJ7Pw/DrBj5iBTrmEPo6HTX5+VJyBNOqTdv4g89G63HuR5g0AaENoAcH7Is5fF2kZ8Q==}
dev: false
/@radix-ui/react-alert-dialog@1.1.15(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-oTVLkEw5GpdRe29BqJ0LSDFWI3qu0vR1M0mUkOQWDIUnY/QIkLpgDMWuKxP94c2NAC2LGcgVhG1ImF3jkZ5wXw==}
peerDependencies:
@@ -693,29 +682,6 @@ packages:
react-dom: 19.2.1(react@19.2.1)
dev: false
/@radix-ui/react-collection@1.1.15(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-9W+B9NPF0NaaPh/1NJd3+KqsnlLqU9H7T2rvww+fp+T/evVXdNAyYcnfRQZFOjkR1ajQp3yORlqnI8soawLvNA==}
peerDependencies:
'@types/react': '*'
'@types/react-dom': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
react-dom: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
'@types/react-dom':
optional: true
dependencies:
'@radix-ui/react-compose-refs': 1.1.5(@types/react@19.2.10)(react@19.2.1)
'@radix-ui/react-context': 1.2.2(@types/react@19.2.10)(react@19.2.1)
'@radix-ui/react-primitive': 2.1.10(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1)
'@radix-ui/react-slot': 1.3.3(@types/react@19.2.10)(react@19.2.1)
'@types/react': 19.2.10
'@types/react-dom': 19.2.3(@types/react@19.2.10)
react: 19.2.1
react-dom: 19.2.1(react@19.2.1)
dev: false
/@radix-ui/react-collection@1.1.7(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-Fh9rGN0MoI4ZFUNyfFVNU4y9LUz93u9/0K+yLgA2bwRojxM8JU1DyvvMBabnZPBgMWREAJvU2jjVzq+LrFUglw==}
peerDependencies:
@@ -752,19 +718,6 @@ packages:
react: 19.2.1
dev: false
/@radix-ui/react-compose-refs@1.1.5(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-+48PbAAbq3didjJxa+OaWY2ZwgAKsNiRGyeHKszblZMQ+kcpd9pAaT11cMkGEie0vsOi3QdeTE6d5Fe3Gn61kA==}
peerDependencies:
'@types/react': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
dependencies:
'@types/react': 19.2.10
react: 19.2.1
dev: false
/@radix-ui/react-context-menu@2.2.16(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-O8morBEW+HsVG28gYDZPTrT9UUovQUlJue5YO836tiTJhuIWBm/zQHc7j388sHWtdH/xUZurK9olD2+pcqx5ww==}
peerDependencies:
@@ -816,19 +769,6 @@ packages:
react: 19.2.1
dev: false
/@radix-ui/react-context@1.2.2(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-RHCUGwKHDr0hDGg4X7ma4JG4/+12qxw8rkh5QKdDldlCvtja6nUx1Ef/8HVrJze81lEsgLQlqjzjGNHantgnQA==}
peerDependencies:
'@types/react': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
dependencies:
'@types/react': 19.2.10
react: 19.2.1
dev: false
/@radix-ui/react-dialog@1.1.15(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-TCglVRtzlffRNxRMEyR36DGBLJpeusFcgMVD9PZEzAKnUs1lKCgX5u9BmC2Yg+LL9MgZDugFFs1Vl+Jp4t/PGw==}
peerDependencies:
@@ -875,19 +815,6 @@ packages:
react: 19.2.1
dev: false
/@radix-ui/react-direction@1.1.4(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-5pzg4FGQNpExhnhT2zlrP1wZFaYCd1K0nYWoFAdcYoYK868IEigqMX3B3f8yIoRlAhAeDWciLI6ZdCKHF9P4Vg==}
peerDependencies:
'@types/react': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
dependencies:
'@types/react': 19.2.10
react: 19.2.1
dev: false
/@radix-ui/react-dismissable-layer@1.1.11(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-Nqcp+t5cTB8BinFkZgXiMJniQH0PsUt2k51FUhbdfeKvc4ACcG2uQniY/8+h1Yv6Kza4Q7lD7PQV0z0oicE0Mg==}
peerDependencies:
@@ -1177,26 +1104,6 @@ packages:
react-dom: 19.2.1(react@19.2.1)
dev: false
/@radix-ui/react-primitive@2.1.10(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-MucOnzh6hR5mid6VpkbglRAMYMjKLqRnGBbjXkzjK52fuQDd1qbkx78a5P40mkcnVXJdEVxm26E9OPAiUq7nBg==}
peerDependencies:
'@types/react': '*'
'@types/react-dom': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
react-dom: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
'@types/react-dom':
optional: true
dependencies:
'@radix-ui/react-slot': 1.3.3(@types/react@19.2.10)(react@19.2.1)
'@types/react': 19.2.10
'@types/react-dom': 19.2.3(@types/react@19.2.10)
react: 19.2.1
react-dom: 19.2.1(react@19.2.1)
dev: false
/@radix-ui/react-primitive@2.1.3(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-m9gTwRkhy2lvCPe6QJp4d3G1TYEUHn/FzJUtq9MjH46an1wJU+GdoGC5VLof8RX8Ft/DlpshApkhswDLZzHIcQ==}
peerDependencies:
@@ -1374,36 +1281,6 @@ packages:
react-dom: 19.2.1(react@19.2.1)
dev: false
/@radix-ui/react-slider@1.4.7(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-mTSLf1GC/C0moWjTbvCM6Qn/gBjvlFt1azuWF2v7MN5C3Zq2U2J2lN3ZEYkpujuOU5Ro7A28wkviSxaKnG0BYg==}
peerDependencies:
'@types/react': '*'
'@types/react-dom': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
react-dom: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
'@types/react-dom':
optional: true
dependencies:
'@radix-ui/number': 1.1.3
'@radix-ui/primitive': 1.1.7
'@radix-ui/react-collection': 1.1.15(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1)
'@radix-ui/react-compose-refs': 1.1.5(@types/react@19.2.10)(react@19.2.1)
'@radix-ui/react-context': 1.2.2(@types/react@19.2.10)(react@19.2.1)
'@radix-ui/react-direction': 1.1.4(@types/react@19.2.10)(react@19.2.1)
'@radix-ui/react-primitive': 2.1.10(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1)
'@radix-ui/react-use-controllable-state': 1.2.6(@types/react@19.2.10)(react@19.2.1)
'@radix-ui/react-use-layout-effect': 1.1.4(@types/react@19.2.10)(react@19.2.1)
'@radix-ui/react-use-previous': 1.1.4(@types/react@19.2.10)(react@19.2.1)
'@radix-ui/react-use-size': 1.1.4(@types/react@19.2.10)(react@19.2.1)
'@types/react': 19.2.10
'@types/react-dom': 19.2.3(@types/react@19.2.10)
react: 19.2.1
react-dom: 19.2.1(react@19.2.1)
dev: false
/@radix-ui/react-slot@1.2.3(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-aeNmHnBxbi2St0au6VBVC7JXFlhLlOnvIIlePNniyUNAClzmtAUEY8/pBiK3iHjufOlwA+c20/8jngo7xcrg8A==}
peerDependencies:
@@ -1432,20 +1309,6 @@ packages:
react: 19.2.1
dev: false
/@radix-ui/react-slot@1.3.3(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-qx7oqnYbxnK9kYI9m317qmFmEgo6ywqWvbTogdj7cL9p3/yx4M48p7Rnw5z3H890cL/ow/EeWJsuTykeZVXP5Q==}
peerDependencies:
'@types/react': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
dependencies:
'@radix-ui/react-compose-refs': 1.1.5(@types/react@19.2.10)(react@19.2.1)
'@types/react': 19.2.10
react: 19.2.1
dev: false
/@radix-ui/react-switch@1.2.6(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-bByzr1+ep1zk4VubeEVViV592vu2lHE2BZY5OnzehZqOOgogN80+mNtCqPkhn2gklJqOpxWgPoYTSnhBCqpOXQ==}
peerDependencies:
@@ -1606,22 +1469,6 @@ packages:
react: 19.2.1
dev: false
/@radix-ui/react-use-controllable-state@1.2.6(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-uEQJGT97ZA/TgP/Hydw47lHu+/vQj6z/0jA+WeTbK1o9Rx45GImjpD0tc3W5ad3D6XTSR6e1yEO0FvGq6WQfVQ==}
peerDependencies:
'@types/react': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
dependencies:
'@radix-ui/primitive': 1.1.7
'@radix-ui/react-use-effect-event': 0.0.5(@types/react@19.2.10)(react@19.2.1)
'@radix-ui/react-use-layout-effect': 1.1.4(@types/react@19.2.10)(react@19.2.1)
'@types/react': 19.2.10
react: 19.2.1
dev: false
/@radix-ui/react-use-effect-event@0.0.2(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-Qp8WbZOBe+blgpuUT+lw2xheLP8q0oatc9UpmiemEICxGvFLYmHm9QowVZGHtJlGbS6A6yJ3iViad/2cVjnOiA==}
peerDependencies:
@@ -1636,20 +1483,6 @@ packages:
react: 19.2.1
dev: false
/@radix-ui/react-use-effect-event@0.0.5(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-7cshFL8HGS/7HEiHH+9kL9HBwp2sa9yX18Knwek6KYWmXwM7pegMgta2AXMQKI+rq3JnfSj9x8wYqFMTdG1Jgg==}
peerDependencies:
'@types/react': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
dependencies:
'@radix-ui/react-use-layout-effect': 1.1.4(@types/react@19.2.10)(react@19.2.1)
'@types/react': 19.2.10
react: 19.2.1
dev: false
/@radix-ui/react-use-escape-keydown@1.1.1(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-Il0+boE7w/XebUHyBjroE+DbByORGR9KKmITzbR7MyQ4akpORYP/ZmbhAr0DG7RmmBqoOnZdy2QlvajJ2QA59g==}
peerDependencies:
@@ -1691,19 +1524,6 @@ packages:
react: 19.2.1
dev: false
/@radix-ui/react-use-layout-effect@1.1.4(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-K20DkRkUwDnxEYMBPcg3Y6voLkEy5p5QQmszZgLngKKiC7dzBR/aEuK3w1qlx2JWDUNH6FluahYdgR3BP+QbYw==}
peerDependencies:
'@types/react': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
dependencies:
'@types/react': 19.2.10
react: 19.2.1
dev: false
/@radix-ui/react-use-previous@1.1.1(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-2dHfToCj/pzca2Ck724OZ5L0EVrr3eHRNsG/b3xQJLA2hZpVCS99bLAX+hm1IHXDEnzU6by5z/5MIY794/a8NQ==}
peerDependencies:
@@ -1717,19 +1537,6 @@ packages:
react: 19.2.1
dev: false
/@radix-ui/react-use-previous@1.1.4(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-XoSLhbRbqxFtgJoi2fNHA3C6pDlY34x508vUpUGoFZfvePfHXHbE1lC4FYFMnJWgiCRroSTw6fOsXQoVS9RwZg==}
peerDependencies:
'@types/react': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
dependencies:
'@types/react': 19.2.10
react: 19.2.1
dev: false
/@radix-ui/react-use-rect@1.1.1(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-QTYuDesS0VtuHNNvMh+CjlKJ4LJickCMUAqjlE3+j8w+RlRpwyX3apEQKGFzbZGdo7XNG1tXa+bQqIE7HIXT2w==}
peerDependencies:
@@ -1758,20 +1565,6 @@ packages:
react: 19.2.1
dev: false
/@radix-ui/react-use-size@1.1.4(@types/react@19.2.10)(react@19.2.1):
resolution: {integrity: sha512-D3anSY15EJoxrihpsXI6SMrmmonnQtR2ni7arO+Lfdg3O95b9hNXxONk8jA5C8ANdF/h5HMAxejgs8PWJ6rlhw==}
peerDependencies:
'@types/react': '*'
react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc
peerDependenciesMeta:
'@types/react':
optional: true
dependencies:
'@radix-ui/react-use-layout-effect': 1.1.4(@types/react@19.2.10)(react@19.2.1)
'@types/react': 19.2.10
react: 19.2.1
dev: false
/@radix-ui/react-visually-hidden@1.2.3(@types/react-dom@19.2.3)(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1):
resolution: {integrity: sha512-pzJq12tEaaIhqjbzpCuv/OypJY/BPavOofm+dbab+MHLajy277+1lLm6JFcGgF5eskJ6mquGirhXY2GD/8u8Ug==}
peerDependencies:
+52 -4
View File
@@ -5,6 +5,7 @@ import {
beginAuthenticatedSession,
beginSupportAdminSession,
bootstrapWorkspaceSession,
clearPendingInvitationToken,
getPendingInvitationToken,
} from '@/app/infra/http';
import { toast } from 'sonner';
@@ -66,6 +67,10 @@ function SpaceOAuthCallbackContent() {
const [searchParams] = useSearchParams();
const { t } = useTranslation();
const isMountedRef = useRef(true);
const directLaunchFragmentRef = useRef<{
workspaceUuid: string | null;
launchAssertion: string | null;
} | null>(null);
const [status, setStatus] = useState<
'loading' | 'confirm' | 'success' | 'error'
@@ -108,8 +113,31 @@ function SpaceOAuthCallbackContent() {
}
beginAuthenticatedSession(response.token, response.user);
if (getPendingInvitationToken()) {
navigate('/invitations/accept', { replace: true });
const invitationToken = getPendingInvitationToken();
if (invitationToken) {
let invitation;
try {
invitation =
await httpClient.acceptWorkspaceInvitation(invitationToken);
} catch (error) {
const code = (error as { code?: string }).code;
const path = code
? `/invitations/accept?error=${encodeURIComponent(code)}`
: '/invitations/accept';
navigate(path, { replace: true });
return;
}
beginAuthenticatedSession(invitation.token, response.user);
clearPendingInvitationToken();
const workspaceResult = await bootstrapWorkspaceSession({
preferredWorkspaceUuid: invitation.workspace_uuid,
});
if (workspaceResult.status === 'unavailable') {
navigate('/workspace-unavailable', { replace: true });
return;
}
navigate('/home', { replace: true });
return;
}
const workspaceResult = await bootstrapWorkspaceSession({
@@ -220,8 +248,28 @@ function SpaceOAuthCallbackContent() {
const errorDescription = searchParams.get('error_description');
const mode = searchParams.get('mode');
const state = searchParams.get('state');
const workspaceUuid = searchParams.get('workspace_uuid');
const launchAssertion = searchParams.get('launch_assertion');
if (directLaunchFragmentRef.current === null) {
const fragmentParams = new URLSearchParams(
window.location.hash.startsWith('#')
? window.location.hash.slice(1)
: window.location.hash,
);
directLaunchFragmentRef.current = {
workspaceUuid: fragmentParams.get('workspace_uuid'),
launchAssertion: fragmentParams.get('launch_assertion'),
};
if (window.location.hash) {
window.history.replaceState(
null,
'',
`${window.location.pathname}${window.location.search}`,
);
}
}
const workspaceUuid =
directLaunchFragmentRef.current.workspaceUuid ??
searchParams.get('workspace_uuid');
const launchAssertion = directLaunchFragmentRef.current.launchAssertion;
if (error) {
setStatus('error');
@@ -144,7 +144,6 @@ function getValueSchema(spec: DynamicFormValueSpec) {
return z.object({
primary: z.string(),
fallbacks: z.array(z.string()),
reasoning: z.record(z.string()),
});
case DynamicFormItemType.PROMPT_EDITOR:
return z.array(
@@ -489,24 +488,12 @@ export default function DynamicFormComponent({
(v): v is string => typeof v === 'string',
)
: [],
reasoning:
obj.reasoning != null &&
typeof obj.reasoning === 'object' &&
!Array.isArray(obj.reasoning)
? Object.fromEntries(
Object.entries(obj.reasoning).filter(
(entry): entry is [string, string] =>
typeof entry[1] === 'string',
),
)
: {},
};
}
// Legacy string format or any other unexpected type
return {
primary: typeof value === 'string' ? value : '',
fallbacks: [],
reasoning: {},
};
}
if (item.type === 'prompt-editor') {
@@ -25,7 +25,6 @@ import {
EmbeddingModel,
RerankModel,
PluginTool,
ReasoningLevel,
} from '@/app/infra/entities/api';
import { toast } from 'sonner';
import { useTranslation } from 'react-i18next';
@@ -67,9 +66,6 @@ import SettingsDialog, {
} from '@/app/home/components/settings-dialog/SettingsDialog';
import ToolResourceSelectors from '@/app/home/components/dynamic-form/ToolResourceSelectors';
import { LANGBOT_MODELS_PROVIDER_REQUESTER } from '@/app/home/components/models-dialog/types';
import ReasoningLevelPicker, {
REASONING_LEVELS,
} from '@/app/home/components/reasoning/ReasoningLevelPicker';
function hasUsableUuid<T extends { uuid?: string | null }>(
item: T,
@@ -878,11 +874,7 @@ export default function DynamicFormItemComponent({
];
const rawModelValue = field.value;
const modelValue: {
primary: string;
fallbacks: string[];
reasoning: Record<string, ReasoningLevel>;
} =
const modelValue: { primary: string; fallbacks: string[] } =
rawModelValue != null &&
typeof rawModelValue === 'object' &&
!Array.isArray(rawModelValue)
@@ -901,29 +893,10 @@ export default function DynamicFormItemComponent({
.fallbacks as unknown[]
).filter((v): v is string => typeof v === 'string')
: [],
reasoning:
(rawModelValue as Record<string, unknown>).reasoning != null &&
typeof (rawModelValue as Record<string, unknown>).reasoning ===
'object' &&
!Array.isArray(
(rawModelValue as Record<string, unknown>).reasoning,
)
? (Object.fromEntries(
Object.entries(
(rawModelValue as Record<string, unknown>)
.reasoning as Record<string, unknown>,
).filter(
(entry): entry is [string, ReasoningLevel] =>
typeof entry[1] === 'string' &&
REASONING_LEVELS.includes(entry[1] as ReasoningLevel),
),
) as Record<string, ReasoningLevel>)
: {},
}
: {
primary: typeof rawModelValue === 'string' ? rawModelValue : '',
fallbacks: [],
reasoning: {},
};
const renderModelSelect = (
@@ -1070,79 +1043,20 @@ export default function DynamicFormItemComponent({
field.onChange({ ...modelValue, ...patch });
};
const updateModelReasoning = (
modelUuid: string,
level: ReasoningLevel,
) => {
if (!modelUuid) return;
const updated = { ...modelValue.reasoning };
if (level === 'provider_default') {
delete updated[modelUuid];
} else {
updated[modelUuid] = level;
}
updateValue({ reasoning: updated });
};
const replaceModel = (
currentUuid: string,
nextUuid: string,
patch: Partial<typeof modelValue>,
) => {
const nextValue = { ...modelValue, ...patch };
const updatedReasoning = { ...modelValue.reasoning };
const currentModelStillSelected =
nextValue.primary === currentUuid ||
nextValue.fallbacks.includes(currentUuid);
if (
currentUuid &&
currentUuid !== nextUuid &&
!currentModelStillSelected
) {
delete updatedReasoning[currentUuid];
}
updateValue({ ...nextValue, reasoning: updatedReasoning });
};
const renderReasoningPicker = (modelUuid: string) => {
if (!modelUuid) return null;
const model = llmModels.find(
(candidate) => candidate.uuid === modelUuid,
);
const currentLevel =
modelValue.reasoning[modelUuid] || 'provider_default';
const availableLevels = model?.reasoning_capabilities?.levels || [
'provider_default',
];
const levels = REASONING_LEVELS.filter(
(level) => availableLevels.includes(level) || level === currentLevel,
);
return (
<ReasoningLevelPicker
value={currentLevel}
levels={levels}
onChange={(level) => updateModelReasoning(modelUuid, level)}
/>
);
};
const addFallbackModel = () => {
updateValue({ fallbacks: [...modelValue.fallbacks, ''] });
};
const updateFallbackModel = (index: number, value: string) => {
const updated = [...modelValue.fallbacks];
const currentUuid = updated[index];
updated[index] = value;
replaceModel(currentUuid, value, { fallbacks: updated });
updateValue({ fallbacks: updated });
};
const removeFallbackModel = (index: number) => {
const updated = [...modelValue.fallbacks];
const removedUuid = updated[index];
updated.splice(index, 1);
replaceModel(removedUuid, '', { fallbacks: updated });
updateValue({ fallbacks: updated });
};
const moveFallbackModel = (index: number, direction: 'up' | 'down') => {
@@ -1167,12 +1081,10 @@ export default function DynamicFormItemComponent({
<div className="min-w-0 flex-1">
{renderModelSelect(
modelValue.primary,
(val) =>
replaceModel(modelValue.primary, val, { primary: val }),
(val) => updateValue({ primary: val }),
t('models.selectModel'),
)}
</div>
{renderReasoningPicker(modelValue.primary)}
<Tooltip>
<TooltipTrigger asChild>
<Button
@@ -1206,18 +1118,15 @@ export default function DynamicFormItemComponent({
</p>
{modelValue.fallbacks.map((fbUuid: string, index: number) => (
<div key={index} className="flex min-w-0 items-center gap-2">
<span className="w-4 shrink-0 text-xs text-muted-foreground">
<span className="text-xs text-muted-foreground w-4 shrink-0">
{index + 1}.
</span>
<div className="flex min-w-0 flex-1 items-center gap-1.5">
<div className="min-w-0 flex-1">
{renderModelSelect(
fbUuid,
(val) => updateFallbackModel(index, val),
t('models.selectModel'),
)}
</div>
{renderReasoningPicker(fbUuid)}
<div className="min-w-0 flex-1">
{renderModelSelect(
fbUuid,
(val) => updateFallbackModel(index, val),
t('models.selectModel'),
)}
</div>
<div className="flex gap-1 shrink-0">
<Button
@@ -5,56 +5,6 @@ export type DynamicFormSaveValueSpec = Pick<
'default' | 'name' | 'type'
>;
const reasoningLevels = new Set([
'disabled',
'enabled',
'minimal',
'low',
'medium',
'high',
'xhigh',
'max',
]);
function normalizeModelFallbackValue(value: unknown): {
primary: string;
fallbacks: string[];
reasoning: Record<string, string>;
} {
const raw =
value != null && typeof value === 'object' && !Array.isArray(value)
? (value as Record<string, unknown>)
: {};
const primary =
typeof raw.primary === 'string'
? raw.primary
: typeof value === 'string'
? value
: '';
const fallbacks = Array.isArray(raw.fallbacks)
? raw.fallbacks.filter(
(fallback): fallback is string => typeof fallback === 'string',
)
: [];
const selectedModels = new Set([primary, ...fallbacks].filter(Boolean));
const rawReasoning =
raw.reasoning != null &&
typeof raw.reasoning === 'object' &&
!Array.isArray(raw.reasoning)
? (raw.reasoning as Record<string, unknown>)
: {};
const reasoning = Object.fromEntries(
Object.entries(rawReasoning).filter(
([modelUuid, level]) =>
selectedModels.has(modelUuid) &&
typeof level === 'string' &&
reasoningLevels.has(level),
),
) as Record<string, string>;
return { primary, fallbacks, reasoning };
}
/**
* Build the value snapshot emitted to parent forms for persistence.
* Only single-line string fields trim surrounding whitespace; multiline text
@@ -66,14 +16,10 @@ export function normalizeDynamicFormValuesForSave(
): Record<string, unknown> {
return specs.reduce<Record<string, unknown>>((values, spec) => {
const value = formValues[spec.name] ?? spec.default;
if (spec.type === 'model-fallback-selector') {
values[spec.name] = normalizeModelFallbackValue(value);
} else {
values[spec.name] =
spec.type === 'string' && typeof value === 'string'
? value.trim()
: value;
}
values[spec.name] =
spec.type === 'string' && typeof value === 'string'
? value.trim()
: value;
return values;
}, {});
}
@@ -1,7 +1,7 @@
import { useState, useEffect } from 'react';
import { Plus, Boxes } from 'lucide-react';
import { httpClient, systemInfo } from '@/app/infra/http/HttpClient';
import { ModelProvider, ReasoningConfig } from '@/app/infra/entities/api';
import { ModelProvider } from '@/app/infra/entities/api';
import {
Dialog,
DialogContent,
@@ -15,7 +15,6 @@ import ProviderForm from './component/provider-form/ProviderForm';
import { ProviderCard } from './components';
import {
ExtraArg,
DEFAULT_REASONING_CONFIG,
ModelType,
ScanModelsResult,
SelectedScannedModel,
@@ -286,7 +285,6 @@ export default function ModelsPanel({
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
contextLength?: number | null,
) {
if (!name.trim()) {
@@ -302,7 +300,6 @@ export default function ModelsPanel({
name,
provider_uuid: providerUuid,
abilities,
reasoning_config: reasoningConfig,
context_length: parseContextLength(
contextLength,
t('models.contextLengthInvalid'),
@@ -364,7 +361,6 @@ export default function ModelsPanel({
name: item.model.name,
provider_uuid: providerUuid,
abilities: item.abilities,
reasoning_config: DEFAULT_REASONING_CONFIG,
context_length: item.model.context_length ?? null,
extra_args: {},
} as never);
@@ -402,7 +398,6 @@ export default function ModelsPanel({
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
contextLength?: number | null,
) {
if (!name.trim()) {
@@ -418,7 +413,6 @@ export default function ModelsPanel({
name,
provider_uuid: providerUuid,
abilities,
reasoning_config: reasoningConfig,
context_length: parseContextLength(
contextLength,
t('models.contextLengthInvalid'),
@@ -475,7 +469,6 @@ export default function ModelsPanel({
modelType: ModelType,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
) {
setIsTesting(true);
setTestResult(null);
@@ -498,7 +491,6 @@ export default function ModelsPanel({
provider_uuid: '',
provider: providerData,
abilities,
reasoning_config: reasoningConfig,
extra_args: extraArgsObj,
} as never);
} else if (modelType === 'embedding') {
@@ -562,21 +554,13 @@ export default function ModelsPanel({
onSpaceLogin={handleSpaceLogin}
onOpenAddModel={() => setAddModelPopoverOpen(provider.uuid)}
onCloseAddModel={() => setAddModelPopoverOpen(null)}
onAddModel={(
modelType,
name,
abilities,
extraArgs,
reasoningConfig,
contextLength,
) =>
onAddModel={(modelType, name, abilities, extraArgs, contextLength) =>
handleAddModel(
provider.uuid,
modelType,
name,
abilities,
extraArgs,
reasoningConfig,
contextLength,
)
}
@@ -592,7 +576,6 @@ export default function ModelsPanel({
name,
abilities,
extraArgs,
reasoningConfig,
contextLength,
) =>
handleUpdateModel(
@@ -602,7 +585,6 @@ export default function ModelsPanel({
name,
abilities,
extraArgs,
reasoningConfig,
contextLength,
)
}
@@ -611,15 +593,8 @@ export default function ModelsPanel({
onDeleteModel={(modelId, modelType) =>
handleDeleteModel(provider.uuid, modelId, modelType)
}
onTestModel={(name, modelType, abilities, extraArgs, reasoningConfig) =>
handleTestModel(
provider.uuid,
name,
modelType,
abilities,
extraArgs,
reasoningConfig,
)
onTestModel={(name, modelType, abilities, extraArgs) =>
handleTestModel(provider.uuid, name, modelType, abilities, extraArgs)
}
isSubmitting={isSubmitting}
isTesting={isTesting}
@@ -6,7 +6,6 @@ import {
ArrowUpDown,
Eye,
Wrench,
BrainCircuit,
Check,
RefreshCw,
} from 'lucide-react';
@@ -21,12 +20,8 @@ import {
} from '@/components/ui/popover';
import { Tabs, TabsList, TabsTrigger } from '@/components/ui/tabs';
import { useTranslation } from 'react-i18next';
import { ScannedProviderModel } from '@/app/infra/entities/api';
import {
ReasoningConfig,
ScannedProviderModel,
} from '@/app/infra/entities/api';
import {
DEFAULT_REASONING_CONFIG,
ExtraArg,
ModelType,
ScanModelsResult,
@@ -47,7 +42,6 @@ interface AddModelPopoverProps {
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
contextLength?: number | null,
) => Promise<void>;
onScanModels: (modelType?: ModelType) => Promise<ScanModelsResult>;
@@ -60,7 +54,6 @@ interface AddModelPopoverProps {
modelType: ModelType,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
) => Promise<void>;
isSubmitting: boolean;
isTesting: boolean;
@@ -150,24 +143,11 @@ export default function AddModelPopover({
tab === 'llm' && contextLength.trim()
? Number(contextLength.trim())
: null;
await onAddModel(
tab,
name,
abilities,
extraArgs,
DEFAULT_REASONING_CONFIG,
parsedContextLength,
);
await onAddModel(tab, name, abilities, extraArgs, parsedContextLength);
};
const handleTest = async () => {
await onTestModel(
name,
tab,
tab === 'llm' ? abilities : [],
extraArgs,
DEFAULT_REASONING_CONFIG,
);
await onTestModel(name, tab, tab === 'llm' ? abilities : [], extraArgs);
};
const handleScan = async () => {
@@ -342,7 +322,7 @@ export default function AddModelPopover({
{tab === 'llm' && (
<div className="space-y-2">
<Label>{t('models.abilities')}</Label>
<div className="flex flex-wrap gap-4">
<div className="flex gap-4">
<div className="flex items-center gap-2">
<Checkbox
id="add-vision"
@@ -369,19 +349,6 @@ export default function AddModelPopover({
{t('models.functionCallAbility')}
</Label>
</div>
<div className="flex items-center gap-2">
<Checkbox
id="add-reasoning"
checked={abilities.includes('reasoning')}
onCheckedChange={(checked) =>
toggleAbility('reasoning', checked as boolean)
}
/>
<Label htmlFor="add-reasoning" className="text-sm">
<BrainCircuit className="h-3 w-3 inline mr-1" />
{t('models.reasoningAbility')}
</Label>
</div>
</div>
</div>
)}
@@ -1,5 +1,5 @@
import { useState, useEffect } from 'react';
import { Trash2, Eye, Wrench, Check, BrainCircuit } from 'lucide-react';
import { Trash2, Eye, Wrench, Check } from 'lucide-react';
import { Button } from '@/components/ui/button';
import { Input } from '@/components/ui/input';
import { Label } from '@/components/ui/label';
@@ -11,17 +11,8 @@ import {
PopoverTrigger,
} from '@/components/ui/popover';
import { useTranslation } from 'react-i18next';
import {
LLMModel,
EmbeddingModel,
ReasoningConfig,
} from '@/app/infra/entities/api';
import {
DEFAULT_REASONING_CONFIG,
ExtraArg,
ModelType,
TestResult,
} from '../types';
import { LLMModel, EmbeddingModel } from '@/app/infra/entities/api';
import { ExtraArg, ModelType, TestResult } from '../types';
import ExtraArgsEditor from './ExtraArgsEditor';
import { userInfo } from '@/app/infra/http';
@@ -41,14 +32,12 @@ interface ModelItemProps {
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
contextLength?: number | null,
) => Promise<void>;
onTestModel: (
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
) => Promise<void>;
isSubmitting: boolean;
isTesting: boolean;
@@ -114,6 +103,7 @@ export default function ModelItem({
const [editExtraArgs, setEditExtraArgs] = useState<ExtraArg[]>(
convertExtraArgsToArray(model.extra_args),
);
const isEditOpen = editModelPopoverOpen === model.uuid;
const isDeleteOpen = deleteConfirmOpen === model.uuid;
@@ -143,20 +133,12 @@ export default function ModelItem({
editName,
editAbilities,
editExtraArgs,
modelType === 'llm'
? (model as LLMModel).reasoning_config || DEFAULT_REASONING_CONFIG
: DEFAULT_REASONING_CONFIG,
parsedContextLength,
);
};
const handleTest = async () => {
await onTestModel(
editName,
editAbilities,
editExtraArgs,
DEFAULT_REASONING_CONFIG,
);
await onTestModel(editName, editAbilities, editExtraArgs);
};
const toggleAbility = (ability: string, checked: boolean) => {
@@ -167,12 +149,6 @@ export default function ModelItem({
}
};
const supportsReasoning =
modelType === 'llm' &&
((model as LLMModel).reasoning_capabilities?.supported === true ||
(model as LLMModel).abilities?.includes('reasoning'));
const canSaveModel = !isLangBotModels;
// Check if popover should be disabled (space models when not logged in)
const isPopoverDisabled =
!canManage || (isLangBotModels && userInfo?.account_type !== 'space');
@@ -218,12 +194,6 @@ export default function ModelItem({
<Wrench className="h-3 w-3" />
</Badge>
)}
{supportsReasoning && (
<Badge variant="outline" className="text-xs gap-1">
<BrainCircuit className="h-3 w-3" />
{t('models.reasoningAbility')}
</Badge>
)}
</div>
{canManage && !isLangBotModels && (
<Popover
@@ -300,7 +270,7 @@ export default function ModelItem({
{modelType === 'llm' && (
<div className="space-y-2">
<Label>{t('models.abilities')}</Label>
<div className="flex flex-wrap gap-4">
<div className="flex gap-4">
<div className="flex items-center gap-2">
<Checkbox
id={`edit-vision-${model.uuid}`}
@@ -335,23 +305,6 @@ export default function ModelItem({
{t('models.functionCallAbility')}
</Label>
</div>
<div className="flex items-center gap-2">
<Checkbox
id={`edit-reasoning-${model.uuid}`}
checked={editAbilities.includes('reasoning')}
disabled={isLangBotModels}
onCheckedChange={(checked) =>
toggleAbility('reasoning', checked as boolean)
}
/>
<Label
htmlFor={`edit-reasoning-${model.uuid}`}
className="text-sm"
>
<BrainCircuit className="h-3 w-3 inline mr-1" />
{t('models.reasoningAbility')}
</Label>
</div>
</div>
</div>
)}
@@ -383,7 +336,7 @@ export default function ModelItem({
/>
<div className="flex gap-2">
{canSaveModel && (
{!isLangBotModels && (
<Button
className="flex-1"
size="sm"
@@ -394,7 +347,7 @@ export default function ModelItem({
</Button>
)}
<Button
className={canSaveModel ? 'flex-1' : 'w-full'}
className={isLangBotModels ? 'w-full' : 'flex-1'}
size="sm"
variant="outline"
onClick={handleTest}
@@ -9,7 +9,7 @@ import {
Radar,
} from 'lucide-react';
import { httpClient, systemInfo } from '@/app/infra/http/HttpClient';
import { ModelProvider, ReasoningConfig } from '@/app/infra/entities/api';
import { ModelProvider } from '@/app/infra/entities/api';
import { Button } from '@/components/ui/button';
import {
Collapsible,
@@ -63,7 +63,6 @@ interface ProviderCardProps {
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
contextLength?: number | null,
) => Promise<void>;
onScanModels: (modelType?: ModelType) => Promise<ScanModelsResult>;
@@ -79,7 +78,6 @@ interface ProviderCardProps {
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
contextLength?: number | null,
) => Promise<void>;
onOpenDeleteConfirm: (modelId: string) => void;
@@ -90,7 +88,6 @@ interface ProviderCardProps {
modelType: ModelType,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
) => Promise<void>;
isSubmitting: boolean;
isTesting: boolean;
@@ -221,20 +218,22 @@ export default function ProviderCard({
<span>
{(spaceCredits / 5000).toFixed(2)} {t('models.credits')}
</span>
<Button
variant="ghost"
size="icon"
className="h-5 w-5"
onClick={(e) => {
e.stopPropagation();
window.open(
`${systemInfo.cloud_service_url}/profile?tab=billing`,
'_blank',
);
}}
>
<Plus className="h-3 w-3" />
</Button>
{isWorkspaceOwner && (
<Button
variant="ghost"
size="icon"
className="h-5 w-5"
onClick={(e) => {
e.stopPropagation();
window.open(
`${systemInfo.cloud_service_url}/profile?tab=billing`,
'_blank',
);
}}
>
<Plus className="h-3 w-3" />
</Button>
)}
</div>
)}
{isLangBotModels && !isWorkspaceOwner && ownerSpaceBound && (
@@ -433,7 +432,6 @@ export default function ProviderCard({
name,
abilities,
extraArgs,
reasoningConfig,
contextLength,
) =>
onUpdateModel(
@@ -442,23 +440,11 @@ export default function ProviderCard({
name,
abilities,
extraArgs,
reasoningConfig,
contextLength,
)
}
onTestModel={(
name,
abilities,
extraArgs,
reasoningConfig,
) =>
onTestModel(
name,
'llm',
abilities,
extraArgs,
reasoningConfig,
)
onTestModel={(name, abilities, extraArgs) =>
onTestModel(name, 'llm', abilities, extraArgs)
}
isSubmitting={isSubmitting}
isTesting={isTesting}
@@ -480,34 +466,17 @@ export default function ProviderCard({
onOpenDeleteConfirm={onOpenDeleteConfirm}
onCloseDeleteConfirm={onCloseDeleteConfirm}
onDeleteModel={() => onDeleteModel(model.uuid, 'embedding')}
onUpdateModel={(
name,
abilities,
extraArgs,
reasoningConfig,
) =>
onUpdateModel={(name, abilities, extraArgs) =>
onUpdateModel(
model.uuid,
'embedding',
name,
abilities,
extraArgs,
reasoningConfig,
)
}
onTestModel={(
name,
abilities,
extraArgs,
reasoningConfig,
) =>
onTestModel(
name,
'embedding',
abilities,
extraArgs,
reasoningConfig,
)
onTestModel={(name, abilities, extraArgs) =>
onTestModel(name, 'embedding', abilities, extraArgs)
}
isSubmitting={isSubmitting}
isTesting={isTesting}
@@ -529,34 +498,17 @@ export default function ProviderCard({
onOpenDeleteConfirm={onOpenDeleteConfirm}
onCloseDeleteConfirm={onCloseDeleteConfirm}
onDeleteModel={() => onDeleteModel(model.uuid, 'rerank')}
onUpdateModel={(
name,
abilities,
extraArgs,
reasoningConfig,
) =>
onUpdateModel={(name, abilities, extraArgs) =>
onUpdateModel(
model.uuid,
'rerank',
name,
abilities,
extraArgs,
reasoningConfig,
)
}
onTestModel={(
name,
abilities,
extraArgs,
reasoningConfig,
) =>
onTestModel(
name,
'rerank',
abilities,
extraArgs,
reasoningConfig,
)
onTestModel={(name, abilities, extraArgs) =>
onTestModel(name, 'rerank', abilities, extraArgs)
}
isSubmitting={isSubmitting}
isTesting={isTesting}
@@ -5,7 +5,6 @@ import {
ModelProvider,
ProviderScanDebugInfo,
ScannedProviderModel,
ReasoningConfig,
} from '@/app/infra/entities/api';
export type ExtraArg = {
@@ -17,10 +16,6 @@ export type ExtraArg = {
export type ModelType = 'llm' | 'embedding' | 'rerank';
export const DEFAULT_REASONING_CONFIG: ReasoningConfig = {
level: 'provider_default',
};
export interface ProviderModels {
llm: LLMModel[];
embedding: EmbeddingModel[];
@@ -58,14 +53,12 @@ export interface ModelItemProps {
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
contextLength?: number | null,
) => Promise<void>;
onTest: (
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
) => Promise<void>;
isSubmitting: boolean;
isTesting: boolean;
@@ -97,7 +90,6 @@ export interface ProviderCardProps {
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
contextLength?: number | null,
) => Promise<void>;
onScanModels: (modelType?: ModelType) => Promise<ScanModelsResult>;
@@ -113,7 +105,6 @@ export interface ProviderCardProps {
name: string,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
contextLength?: number | null,
) => Promise<void>;
onOpenDeleteConfirm: (modelId: string) => void;
@@ -124,7 +115,6 @@ export interface ProviderCardProps {
modelType: ModelType,
abilities: string[],
extraArgs: ExtraArg[],
reasoningConfig: ReasoningConfig,
) => Promise<void>;
isSubmitting: boolean;
isTesting: boolean;
@@ -1,97 +0,0 @@
import { BrainCircuit, ChevronDown, ChevronRight } from 'lucide-react';
import { useTranslation } from 'react-i18next';
import { ReasoningLevel } from '@/app/infra/entities/api';
import { Button } from '@/components/ui/button';
import {
Popover,
PopoverContent,
PopoverTrigger,
} from '@/components/ui/popover';
import { Slider } from '@/components/ui/slider';
export const REASONING_LEVELS: ReasoningLevel[] = [
'provider_default',
'disabled',
'enabled',
'minimal',
'low',
'medium',
'high',
'xhigh',
'max',
];
export const REASONING_LEVEL_LABEL_KEYS: Record<ReasoningLevel, string> = {
provider_default: 'models.reasoningLevels.providerDefault',
disabled: 'models.reasoningLevels.disabled',
enabled: 'models.reasoningLevels.enabled',
minimal: 'models.reasoningLevels.minimal',
low: 'models.reasoningLevels.low',
medium: 'models.reasoningLevels.medium',
high: 'models.reasoningLevels.high',
xhigh: 'models.reasoningLevels.xhigh',
max: 'models.reasoningLevels.max',
};
interface ReasoningLevelPickerProps {
value: ReasoningLevel;
levels: ReasoningLevel[];
disabled?: boolean;
onChange: (value: ReasoningLevel) => void;
}
export default function ReasoningLevelPicker({
value,
levels,
disabled = false,
onChange,
}: ReasoningLevelPickerProps) {
const { t } = useTranslation();
const safeLevels: ReasoningLevel[] =
levels.length > 0 ? levels : ['provider_default'];
const safeValue: ReasoningLevel = safeLevels.includes(value)
? value
: safeLevels[0];
const currentLabel = t(REASONING_LEVEL_LABEL_KEYS[safeValue]);
const isExplicit = safeValue !== 'provider_default';
const currentIndex = Math.max(0, safeLevels.indexOf(safeValue));
return (
<Popover>
<PopoverTrigger asChild>
<Button
type="button"
variant="outline"
size="sm"
disabled={disabled || safeLevels.length <= 1}
aria-label={`${t('models.reasoningLevel')}: ${currentLabel}`}
className="h-9 w-9 shrink-0 gap-1.5 px-2.5 text-xs font-normal sm:w-auto sm:max-w-36"
>
<BrainCircuit
className={`size-4 shrink-0 ${isExplicit ? 'text-primary' : 'text-muted-foreground'}`}
/>
<span className="hidden min-w-0 truncate sm:block">
{currentLabel}
</span>
<ChevronDown className="hidden size-3.5 shrink-0 text-muted-foreground sm:block" />
</Button>
</PopoverTrigger>
<PopoverContent align="end" className="w-[272px] p-4">
<div className="flex h-5 items-center gap-0.5 text-sm text-muted-foreground">
<span>{currentLabel}</span>
<ChevronRight className="size-3.5" />
</div>
<Slider
className="mt-5"
min={0}
max={Math.max(0, safeLevels.length - 1)}
step={1}
value={[currentIndex]}
aria-label={t('models.reasoningLevel')}
aria-valuetext={currentLabel}
onValueChange={([index]) => onChange(safeLevels[index])}
/>
</PopoverContent>
</Popover>
);
}
@@ -79,7 +79,6 @@ export default function WorkspaceSettingsPanel({
const canInvite = permissions.has('member.invite');
const canUpdateMembers = permissions.has('member.update_role');
const canRemoveMembers = permissions.has('member.remove');
const canTransferOwner = permissions.has('owner.transfer');
const cloudPortalURL = workspaceInfo
? `${systemInfo.cloud_service_url.replace(/\/$/, '')}/cloud?workspace=${encodeURIComponent(workspaceInfo.workspace.uuid)}&step=plan`
: '';
@@ -342,11 +341,6 @@ export default function WorkspaceSettingsPanel({
{t(`workspace.roles.${role}`)}
</SelectItem>
))}
{canTransferOwner && (
<SelectItem value="owner">
{t('workspace.transferOwnership')}
</SelectItem>
)}
</SelectContent>
</Select>
)}
-23
View File
@@ -99,32 +99,9 @@ export interface LLMModel {
provider?: ModelProvider;
abilities?: string[];
context_length?: number | null;
reasoning_config?: ReasoningConfig;
reasoning_capabilities?: ReasoningCapabilities;
extra_args?: object;
}
export type ReasoningLevel =
| 'provider_default'
| 'disabled'
| 'enabled'
| 'minimal'
| 'low'
| 'medium'
| 'high'
| 'xhigh'
| 'max';
export interface ReasoningConfig {
level: ReasoningLevel;
}
export interface ReasoningCapabilities {
supported: boolean;
levels: ReasoningLevel[];
source: 'litellm' | 'provider' | 'manual' | 'unknown';
}
export interface ApiRespProviderEmbeddingModels {
models: EmbeddingModel[];
}
+1
View File
@@ -1179,6 +1179,7 @@ export class BackendClient extends BaseHttpClient {
public getAccountInfo(): Promise<{
initialized: boolean;
authenticated_invitation_acceptance_enabled?: boolean;
password_login_enabled?: boolean;
space_login_enabled?: boolean;
}> {
+19 -1
View File
@@ -93,6 +93,10 @@ export default function AcceptInvitationPage() {
const [confirmPassword, setConfirmPassword] = useState('');
const [passwordRegistrationEnabled, setPasswordRegistrationEnabled] =
useState(false);
const [
authenticatedInvitationAcceptanceEnabled,
setAuthenticatedInvitationAcceptanceEnabled,
] = useState(false);
useEffect(() => {
const handleHashChange = () => setInvitationHash(window.location.hash);
@@ -113,6 +117,9 @@ export default function AcceptInvitationPage() {
.getAccountInfo()
.then((info) => {
setPasswordRegistrationEnabled(info.password_login_enabled !== false);
setAuthenticatedInvitationAcceptanceEnabled(
info.authenticated_invitation_acceptance_enabled === true,
);
})
.catch(() => setPasswordRegistrationEnabled(false));
if (!invitationToken) {
@@ -304,7 +311,18 @@ export default function AcceptInvitationPage() {
</div>
)}
{hasLoginToken ? (
{hasLoginToken && authenticatedInvitationAcceptanceEnabled ? (
<Button
className="w-full"
disabled={status === 'submitting'}
onClick={() => void finishAcceptance()}
>
{status === 'submitting' ? (
<Loader2 className="mr-2 size-4 animate-spin" />
) : null}
{t('workspace.acceptInvitation')}
</Button>
) : hasLoginToken ? (
<div className="space-y-3">
<div className="rounded-lg border border-amber-300 bg-amber-50 p-3 text-sm text-amber-900 dark:bg-amber-950/30 dark:text-amber-100">
{t('workspace.authenticatedInvitationNotice')}
-36
View File
@@ -1,36 +0,0 @@
import * as React from 'react';
import * as SliderPrimitive from '@radix-ui/react-slider';
import { cn } from '@/lib/utils';
const Slider = React.forwardRef<
React.ComponentRef<typeof SliderPrimitive.Root>,
React.ComponentPropsWithoutRef<typeof SliderPrimitive.Root>
>(({ className, ...props }, ref) => (
<SliderPrimitive.Root
ref={ref}
data-slot="slider"
className={cn(
'relative flex w-full touch-none select-none items-center data-[disabled]:opacity-50',
className,
)}
{...props}
>
<SliderPrimitive.Track
data-slot="slider-track"
className="relative h-1.5 w-full grow overflow-hidden rounded-full bg-primary/20"
>
<SliderPrimitive.Range
data-slot="slider-range"
className="absolute h-full bg-primary"
/>
</SliderPrimitive.Track>
<SliderPrimitive.Thumb
data-slot="slider-thumb"
className="block size-4 shrink-0 rounded-full border border-primary/50 bg-background shadow transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50"
/>
</SliderPrimitive.Root>
));
Slider.displayName = SliderPrimitive.Root.displayName;
export { Slider };
-13
View File
@@ -214,19 +214,6 @@ const enUS = {
selectModelAbilities: 'Select model abilities',
visionAbility: 'Vision Ability',
functionCallAbility: 'Function Call',
reasoningAbility: 'Reasoning',
reasoningLevel: 'Reasoning level',
reasoningLevels: {
providerDefault: 'Provider default',
disabled: 'Off',
enabled: 'On',
minimal: 'Minimal',
low: 'Low',
medium: 'Medium',
high: 'High',
xhigh: 'Extra high',
max: 'Maximum',
},
contextLength: 'Context Window',
contextLengthPlaceholder: 'Unknown',
contextLengthInvalid: 'Context window must be a positive integer',
-13
View File
@@ -217,19 +217,6 @@ const jaJP = {
selectModelAbilities: 'モデル機能を選択',
visionAbility: '視覚機能',
functionCallAbility: '関数呼び出し',
reasoningAbility: '推論',
reasoningLevel: '推論レベル',
reasoningLevels: {
providerDefault: 'Provider デフォルト',
disabled: 'オフ',
enabled: 'オン',
minimal: '最小',
low: '低',
medium: '中',
high: '高',
xhigh: '最高',
max: '最大',
},
contextLength: 'コンテキストウィンドウ',
contextLengthPlaceholder: '不明',
contextLengthInvalid:
-13
View File
@@ -204,19 +204,6 @@ const zhHans = {
selectModelAbilities: '选择模型能力',
visionAbility: '视觉能力',
functionCallAbility: '函数调用',
reasoningAbility: '思考能力',
reasoningLevel: '思考档位',
reasoningLevels: {
providerDefault: 'Provider 默认',
disabled: '关闭',
enabled: '开启',
minimal: '最低',
low: '低',
medium: '中',
high: '高',
xhigh: '极高',
max: '最大',
},
contextLength: '上下文窗口',
contextLengthPlaceholder: '未知',
contextLengthInvalid: '上下文窗口必须是正整数',
-1
View File
@@ -169,7 +169,6 @@ export function makeWorkspaceEntry(
'member.remove',
'member.update_role',
'member.view',
'owner.transfer',
'provider_secret.manage',
'resource.manage',
'resource.view',
+161
View File
@@ -165,3 +165,164 @@ test('an authenticated OSS invitation requires logout before registration', asyn
invitation: 'logout-invitation',
});
});
test('an authenticated Cloud Account can accept its invitation directly', async ({
page,
}) => {
await installLangBotApiMocks(page, {
authenticated: true,
storage: {
token: 'invited-account-token',
userEmail: 'invited@example.com',
},
});
await page.route('**/api/v1/user/account-info', async (route) => {
await route.fulfill({
status: 200,
contentType: 'application/json',
body: JSON.stringify({
code: 0,
data: {
initialized: true,
authenticated_invitation_acceptance_enabled: true,
password_login_enabled: false,
space_login_enabled: true,
},
msg: 'ok',
}),
});
});
await page.route('**/api/v1/invitations/inspect', async (route) => {
await route.fulfill({
status: 200,
contentType: 'application/json',
body: JSON.stringify({
code: 0,
data: {
invitation: {
uuid: 'cloud-invitation',
workspace_uuid: 'workspace-playwright',
normalized_email: 'invited@example.com',
role: 'viewer',
status: 'pending',
},
workspace: {
uuid: 'workspace-playwright',
name: 'Playwright Workspace',
},
},
msg: 'ok',
}),
});
});
let acceptanceAuthorization = '';
await page.route('**/api/v1/invitations/accept', async (route) => {
acceptanceAuthorization = route.request().headers().authorization ?? '';
await route.fulfill({
status: 200,
contentType: 'application/json',
body: JSON.stringify({
code: 0,
data: {
token: 'accepted-cloud-account-token',
workspace_uuid: 'workspace-playwright',
},
msg: 'ok',
}),
});
});
await page.goto('/invitations/accept#token=cloud-invitation');
await expect(
page.getByRole('button', { name: 'Accept Invitation' }),
).toBeVisible();
await page.getByRole('button', { name: 'Accept Invitation' }).click();
await expect(page).toHaveURL(/\/home(?:\/monitoring)?$/);
expect(acceptanceAuthorization).toBe('Bearer invited-account-token');
});
test('Space OAuth accepts a pending invitation with the freshly authenticated account', async ({
page,
}) => {
await installLangBotApiMocks(page, {
authenticated: false,
storage: {
token: 'stale-other-account-token',
userEmail: 'other@example.com',
},
});
await page.addInitScript(() => {
sessionStorage.setItem(
'langbot_pending_invitation_token',
'matching-invitation',
);
});
await page.route('**/api/v1/user/space/callback', async (route) => {
await route.fulfill({
status: 200,
contentType: 'application/json',
body: JSON.stringify({
code: 0,
data: {
token: 'fresh-invited-account-token',
user: 'invited@example.com',
},
msg: 'ok',
}),
});
});
await page.route('**/api/v1/user/info', async (route) => {
await route.fulfill({
status: 200,
contentType: 'application/json',
body: JSON.stringify({
code: 0,
data: {
account_uuid: 'invited-account',
user: 'invited@example.com',
account_type: 'space',
has_password: false,
},
msg: 'ok',
}),
});
});
let acceptanceAuthorization = '';
await page.route('**/api/v1/invitations/accept', async (route) => {
acceptanceAuthorization = route.request().headers().authorization ?? '';
await route.fulfill({
status: 200,
contentType: 'application/json',
body: JSON.stringify({
code: 0,
data: {
token: 'accepted-invited-account-token',
workspace_uuid: 'workspace-playwright',
},
msg: 'ok',
}),
});
});
await page.goto('/auth/space/callback?code=oauth-code&state=oauth-state');
await expect(page).toHaveURL(/\/home(?:\/monitoring)?$/, {
timeout: 5_000,
});
expect(acceptanceAuthorization).toBe('Bearer fresh-invited-account-token');
expect(
await page.evaluate(() => ({
token: localStorage.getItem('token'),
userEmail: localStorage.getItem('userEmail'),
invitation: sessionStorage.getItem('langbot_pending_invitation_token'),
})),
).toEqual({
token: 'accepted-invited-account-token',
userEmail: 'invited@example.com',
invitation: null,
});
});
@@ -34,26 +34,12 @@ test('normalizes only single-line text fields in a dynamic form save snapshot',
{ name: 'multiline', type: 'text', default: '' },
{ name: 'string-list', type: 'array[string]', default: [] },
{ name: 'count', type: 'integer', default: 0 },
{
name: 'model',
type: 'model-fallback-selector',
default: { primary: '', fallbacks: [], reasoning: {} },
},
];
const values = {
'single-line': '\t hello world \n',
multiline: ' keep multiline whitespace \n',
'string-list': [' first ', ' second '],
count: 3,
model: {
primary: 'primary-model',
fallbacks: ['fallback-model'],
reasoning: {
'primary-model': 'high',
'fallback-model': 'provider_default',
'removed-model': 'medium',
},
},
};
assert.deepEqual(normalizeDynamicFormValuesForSave(specs, values), {
@@ -61,12 +47,5 @@ test('normalizes only single-line text fields in a dynamic form save snapshot',
multiline: ' keep multiline whitespace \n',
'string-list': [' first ', ' second '],
count: 3,
model: {
primary: 'primary-model',
fallbacks: ['fallback-model'],
reasoning: {
'primary-model': 'high',
},
},
});
});
@@ -46,4 +46,14 @@ test('provider card represents owner and member owner-bound states explicitly',
assert.match(source, /ownerSpaceBound/);
assert.match(source, /models\.ownerMustBindSpace/);
assert.match(source, /models\.usesOwnerSpaceBilling/);
assert.match(source, /isWorkspaceOwner && \(\s*<Button/);
});
test('workspace member controls never offer ownership transfer', () => {
const source = read(
'src/app/home/components/workspace-settings/WorkspaceSettingsPanel.tsx',
);
assert.doesNotMatch(source, /canTransferOwner/);
assert.doesNotMatch(source, /workspace\.transferOwnership/);
assert.doesNotMatch(source, /<SelectItem value="owner">/);
});
@@ -0,0 +1,24 @@
import assert from 'node:assert/strict';
import fs from 'node:fs';
import test from 'node:test';
const source = fs.readFileSync(
new URL('../../src/app/auth/space/callback/page.tsx', import.meta.url),
'utf8',
);
test('direct launch assertion is fragment-only and removed before exchange', () => {
assert.doesNotMatch(source, /searchParams\.get\(['"]launch_assertion['"]\)/);
const readIndex = source.indexOf("fragmentParams.get('launch_assertion')");
const clearIndex = source.indexOf('window.history.replaceState');
const exchangeIndex = source.indexOf('handleOAuthCallback(', clearIndex);
assert.ok(readIndex >= 0, 'fragment assertion read is missing');
assert.ok(
clearIndex > readIndex,
'URL fragment is not cleared after copying the assertion',
);
assert.ok(
exchangeIndex > clearIndex,
'assertion exchange starts before the fragment is cleared',
);
});