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fix(shared): remove inactive maxTokens config since 1.0 (#2545)
maxTokens stopped affecting AI requests in the 1.0 refactor. Remove the stale env variables, docs, parsing, and tests.
1 parent 6a53603 commit 39ea1c7

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‎apps/site/docs/en/model-config.mdx‎

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@@ -43,7 +43,6 @@ If you configure a dedicated Insight or Planning model, model-related `MIDSCENE_
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|------|-------------|
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| `MIDSCENE_MODEL_TIMEOUT` | Hard timeout for AI API calls in milliseconds (default intent). Defaults to `180000` (180s). Set to `0` to disable the hard timeout and let the request run indefinitely (only a caller-provided `AbortSignal` will cancel it). Note: Midscene controls the full request lifetime, not just the time until the first response header arrives, so stalled body reads can still be terminated cleanly |
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| `MIDSCENE_MODEL_TEMPERATURE` | Sampling temperature for model responses |
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| `MIDSCENE_MODEL_MAX_TOKENS` | `max_tokens` for responses, default 2048 |
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| `MIDSCENE_MODEL_RETRY_COUNT` | Number of retries when AI call fails, default 1 (i.e., retry once after failure) |
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| `MIDSCENE_MODEL_RETRY_INTERVAL` | Interval between retries in milliseconds, default 2000 |
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| `MIDSCENE_MODEL_REASONING_ENABLED` | Enable or disable model-native reasoning/thinking. Set to `"true"` or `"false"`. For supported model families, Midscene disables model-native thinking by default when this variable is unset. See [Model-Native Thinking Mode](./model-strategy#model-native-thinking-mode). Explicit reasoning config requires a supported `MIDSCENE_MODEL_FAMILY` |
@@ -68,7 +67,6 @@ Set the following if the Insight intent needs a different model:
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| `MIDSCENE_INSIGHT_MODEL_BASE_URL` | API endpoint URL (omit the trailing `/chat/completion`) |
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| `MIDSCENE_INSIGHT_MODEL_NAME` | Model name |
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| `MIDSCENE_INSIGHT_MODEL_FAMILY` | Model family |
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| `MIDSCENE_INSIGHT_MODEL_MAX_TOKENS` | Optional; `max_tokens` for Insight intent responses |
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| `MIDSCENE_INSIGHT_MODEL_TIMEOUT` | Optional; timeout for Insight intent AI API calls in milliseconds |
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| `MIDSCENE_INSIGHT_MODEL_TEMPERATURE` | Optional; sampling temperature for Insight intent responses |
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| `MIDSCENE_INSIGHT_MODEL_RETRY_COUNT` | Optional; same effect as `MIDSCENE_MODEL_RETRY_COUNT` |
@@ -88,7 +86,6 @@ Set the following if the Planning intent needs a different model:
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| `MIDSCENE_PLANNING_MODEL_BASE_URL` | API endpoint URL (omit the trailing `/chat/completion`) |
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| `MIDSCENE_PLANNING_MODEL_NAME` | Model name |
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| `MIDSCENE_PLANNING_MODEL_FAMILY` | Model family |
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| `MIDSCENE_PLANNING_MODEL_MAX_TOKENS` | Optional; `max_tokens` for Planning intent responses |
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| `MIDSCENE_PLANNING_MODEL_TIMEOUT` | Optional; timeout for Planning intent AI API calls in milliseconds |
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| `MIDSCENE_PLANNING_MODEL_TEMPERATURE` | Optional; sampling temperature for Planning intent responses |
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| `MIDSCENE_PLANNING_MODEL_RETRY_COUNT` | Optional; same effect as `MIDSCENE_MODEL_RETRY_COUNT` |
@@ -133,7 +130,6 @@ The following environment variables are deprecated but still compatible. We reco
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| `MIDSCENE_OPENAI_INIT_CONFIG_JSON` | Deprecated but supported | Prefer `MIDSCENE_MODEL_INIT_CONFIG_JSON` |
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| `MIDSCENE_OPENAI_HTTP_PROXY` | Deprecated but supported | Prefer `MIDSCENE_MODEL_HTTP_PROXY` |
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| `MIDSCENE_OPENAI_SOCKS_PROXY` | Deprecated but supported | Prefer `MIDSCENE_MODEL_SOCKS_PROXY` |
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| `OPENAI_MAX_TOKENS` | Deprecated but supported | Prefer `MIDSCENE_MODEL_MAX_TOKENS` |
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## Configure settings via JavaScript
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‎apps/site/docs/zh/model-config.mdx‎

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@@ -41,7 +41,6 @@ export MIDSCENE_MODEL_FAMILY="gpt-5"
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|------|-------------|
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| `MIDSCENE_MODEL_TIMEOUT` | AI 接口调用硬超时（毫秒，默认意图），默认 `180000`（180 秒）。设为 `0` 可禁用硬超时，只有调用方传入的 `AbortSignal` 能取消请求。说明：Midscene 控制的是完整请求生命周期，而不只是首个响应 header 返回的时间，因此即使响应体读取阶段卡住，也能被及时终止 |
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| `MIDSCENE_MODEL_TEMPERATURE` | 模型采样温度 |
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| `MIDSCENE_MODEL_MAX_TOKENS` | 模型响应的 max_tokens 数配置，默认是 2048 |
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| `MIDSCENE_MODEL_RETRY_COUNT` | AI 调用失败时的重试次数，默认 1（即失败后重试 1 次）|
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| `MIDSCENE_MODEL_RETRY_INTERVAL` | AI 调用重试间隔毫秒数，默认 2000 |
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| `MIDSCENE_MODEL_REASONING_ENABLED` | 开启或关闭模型原生推理/思考。设为 `"true"` 或 `"false"`。对于已适配的模型系列，如果不配置该变量，Midscene 会默认关闭模型原生思考。见[模型原生的思考模式](./model-strategy#模型原生的思考模式)。显式配置 reasoning 时必须使用已支持的 `MIDSCENE_MODEL_FAMILY` |
@@ -66,7 +65,6 @@ export MIDSCENE_MODEL_FAMILY="gpt-5"
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| `MIDSCENE_INSIGHT_MODEL_BASE_URL` | API 的接入 URL，常见以版本号结尾（如`/v1`）；不需要编写最后的 `/chat/completion` 部分 |
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| `MIDSCENE_INSIGHT_MODEL_NAME` | 模型名称 |
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| `MIDSCENE_INSIGHT_MODEL_FAMILY` | 模型 family |
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| `MIDSCENE_INSIGHT_MODEL_MAX_TOKENS` | 可选，Insight 意图模型响应的 max_tokens 数配置 |
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| `MIDSCENE_INSIGHT_MODEL_TIMEOUT` | 可选，Insight 意图的 AI 接口调用超时时间（毫秒）|
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| `MIDSCENE_INSIGHT_MODEL_TEMPERATURE` | 可选，Insight 意图的模型采样温度 |
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| `MIDSCENE_INSIGHT_MODEL_RETRY_COUNT` | 可选，效果等同于 `MIDSCENE_MODEL_RETRY_COUNT` |
@@ -86,7 +84,6 @@ export MIDSCENE_MODEL_FAMILY="gpt-5"
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| `MIDSCENE_PLANNING_MODEL_BASE_URL` | API 的接入 URL，常见以版本号结尾（如`/v1`）；不需要编写最后的 `/chat/completion` 部分 |
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| `MIDSCENE_PLANNING_MODEL_NAME` | 模型名称 |
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| `MIDSCENE_PLANNING_MODEL_FAMILY` | 模型 family |
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| `MIDSCENE_PLANNING_MODEL_MAX_TOKENS` | 可选，Planning 意图模型响应的 max_tokens 数配置 |
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| `MIDSCENE_PLANNING_MODEL_TIMEOUT` | 可选，Planning 意图的 AI 接口调用超时时间（毫秒）|
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| `MIDSCENE_PLANNING_MODEL_TEMPERATURE` | 可选，Planning 意图的模型采样温度 |
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| `MIDSCENE_PLANNING_MODEL_RETRY_COUNT` | 可选，效果等同于 `MIDSCENE_MODEL_RETRY_COUNT` |
@@ -133,7 +130,6 @@ export MIDSCENE_MODEL_FAMILY="gpt-5"
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| `MIDSCENE_OPENAI_INIT_CONFIG_JSON` | 已弃用但仍兼容 | 使用 `MIDSCENE_MODEL_INIT_CONFIG_JSON` |
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| `MIDSCENE_OPENAI_HTTP_PROXY` | 已弃用但仍兼容 | 使用 `MIDSCENE_MODEL_HTTP_PROXY` |
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| `MIDSCENE_OPENAI_SOCKS_PROXY` | 已弃用但仍兼容 | 使用 `MIDSCENE_MODEL_SOCKS_PROXY` |
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| `OPENAI_MAX_TOKENS` | 已弃用但仍兼容 | 使用 `MIDSCENE_MODEL_MAX_TOKENS` |
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## 使用 JavaScript 配置参数
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‎packages/core/src/ai-model/service-caller/index.ts‎

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@@ -275,7 +275,6 @@ export async function callAI(
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const extraBody = modelConfig.extraBody;
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278-
const maxTokens = modelConfig.maxTokens;
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const debugCall = getDebug('ai:call');
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const warnCall = getDebug('ai:call', { console: true });
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const debugProfileStats = getDebug('ai:profile:stats');
@@ -329,7 +328,6 @@ export async function callAI(
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const commonConfig = {
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temperature,
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stream: !!isStreaming,
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max_tokens: maxTokens,
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...(modelFamily === 'qwen2.5-vl' // qwen vl v2 specific config
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? {
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vl_high_resolution_images: true,

‎packages/core/tests/unit-test/agent-custom-model.test.ts‎

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@@ -65,7 +65,6 @@ describe('Agent with custom OpenAI client', () => {
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"extraBody": undefined,
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"httpProxy": undefined,
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"intent": "default",
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"maxTokens": undefined,
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"modelDescription": "qwen2.5-vl mode",
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"modelFamily": "qwen2.5-vl",
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"modelName": "qwen2.5-vl-max",
@@ -94,7 +93,6 @@ describe('Agent with custom OpenAI client', () => {
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"extraBody": undefined,
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"httpProxy": undefined,
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"intent": "planning",
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"maxTokens": undefined,
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"modelDescription": "qwen2.5-vl mode",
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"modelFamily": "qwen2.5-vl",
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"modelName": "qwen2.5-vl-max",
@@ -123,7 +121,6 @@ describe('Agent with custom OpenAI client', () => {
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"extraBody": undefined,
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"httpProxy": undefined,
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"intent": "insight",
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"maxTokens": undefined,
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"modelDescription": "qwen2.5-vl mode",
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"modelFamily": "qwen2.5-vl",
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"modelName": "qwen2.5-vl-max",
@@ -164,7 +161,6 @@ describe('Agent with custom OpenAI client', () => {
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"extraBody": undefined,
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"httpProxy": undefined,
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"intent": "default",
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"maxTokens": undefined,
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"modelDescription": "qwen2.5-vl mode",
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"modelFamily": "qwen2.5-vl",
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"modelName": "qwen2.5-vl-max",
@@ -193,7 +189,6 @@ describe('Agent with custom OpenAI client', () => {
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"extraBody": undefined,
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"httpProxy": undefined,
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"intent": "planning",
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"maxTokens": undefined,
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"modelDescription": "",
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"modelFamily": undefined,
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"modelName": "gpt-5.1",
@@ -222,7 +217,6 @@ describe('Agent with custom OpenAI client', () => {
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"extraBody": undefined,
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"httpProxy": undefined,
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"intent": "insight",
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"maxTokens": undefined,
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"modelDescription": "",
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"modelFamily": undefined,
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"modelName": "model-for-insight",

‎packages/core/tests/unit-test/service-caller-timeout.test.ts‎

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@@ -157,24 +157,6 @@ describe('service-caller request timeout', () => {
157157
expect(lastCallOptions?.maxRetries).toBe(0);
158158
});
159159

160-
it('passes maxTokens from the resolved model config', async () => {
161-
const { callAI } = await import('@/ai-model/service-caller');
162-
163-
mockCreate.mockResolvedValue({
164-
choices: [{ message: { content: 'ok' } }],
165-
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
166-
_request_id: 'req_max_tokens',
167-
});
168-
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await callAI(
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[{ role: 'user', content: 'hello' }],
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baseConfig({ maxTokens: 1234 }),
172-
);
173-
174-
const lastCreateBody = mockCreate.mock.calls.at(-1)?.[0];
175-
expect(lastCreateBody?.max_tokens).toBe(1234);
176-
});
177-
178160
it('retries after a hard timeout and returns the next successful response', async () => {
179161
const { callAI } = await import('@/ai-model/service-caller');
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‎packages/shared/src/env/constants.ts‎

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@@ -5,7 +5,6 @@ import {
55
MIDSCENE_INSIGHT_MODEL_FAMILY,
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MIDSCENE_INSIGHT_MODEL_HTTP_PROXY,
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MIDSCENE_INSIGHT_MODEL_INIT_CONFIG_JSON,
8-
MIDSCENE_INSIGHT_MODEL_MAX_TOKENS,
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MIDSCENE_INSIGHT_MODEL_NAME,
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MIDSCENE_INSIGHT_MODEL_REASONING_BUDGET,
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MIDSCENE_INSIGHT_MODEL_REASONING_EFFORT,
@@ -21,7 +20,6 @@ import {
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MIDSCENE_MODEL_FAMILY,
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MIDSCENE_MODEL_HTTP_PROXY,
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MIDSCENE_MODEL_INIT_CONFIG_JSON,
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MIDSCENE_MODEL_MAX_TOKENS,
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MIDSCENE_MODEL_NAME,
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MIDSCENE_MODEL_REASONING_BUDGET,
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MIDSCENE_MODEL_REASONING_EFFORT,
@@ -40,7 +38,6 @@ import {
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MIDSCENE_PLANNING_MODEL_FAMILY,
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MIDSCENE_PLANNING_MODEL_HTTP_PROXY,
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MIDSCENE_PLANNING_MODEL_INIT_CONFIG_JSON,
43-
MIDSCENE_PLANNING_MODEL_MAX_TOKENS,
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MIDSCENE_PLANNING_MODEL_NAME,
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MIDSCENE_PLANNING_MODEL_REASONING_BUDGET,
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MIDSCENE_PLANNING_MODEL_REASONING_EFFORT,
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MIDSCENE_PLANNING_MODEL_TIMEOUT,
5350
OPENAI_API_KEY,
5451
OPENAI_BASE_URL,
55-
OPENAI_MAX_TOKENS,
5652
} from './types';
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interface IModelConfigKeys {
@@ -69,7 +65,6 @@ interface IModelConfigKeys {
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openaiApiKey: string;
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openaiExtraConfig: string;
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extraBody: string;
72-
maxTokens: string;
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/**
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* Extra
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*/
@@ -106,7 +101,6 @@ export const INSIGHT_MODEL_CONFIG_KEYS: IModelConfigKeys = {
106101
openaiApiKey: MIDSCENE_INSIGHT_MODEL_API_KEY,
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openaiExtraConfig: MIDSCENE_INSIGHT_MODEL_INIT_CONFIG_JSON,
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extraBody: MIDSCENE_INSIGHT_MODEL_EXTRA_BODY_JSON,
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maxTokens: MIDSCENE_INSIGHT_MODEL_MAX_TOKENS,
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/**
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* Extra
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*/
@@ -143,7 +137,6 @@ export const PLANNING_MODEL_CONFIG_KEYS: IModelConfigKeys = {
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openaiApiKey: MIDSCENE_PLANNING_MODEL_API_KEY,
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openaiExtraConfig: MIDSCENE_PLANNING_MODEL_INIT_CONFIG_JSON,
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extraBody: MIDSCENE_PLANNING_MODEL_EXTRA_BODY_JSON,
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maxTokens: MIDSCENE_PLANNING_MODEL_MAX_TOKENS,
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/**
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* Extra
149142
*/
@@ -181,7 +174,6 @@ export const DEFAULT_MODEL_CONFIG_KEYS: IModelConfigKeys = {
181174
openaiApiKey: MIDSCENE_MODEL_API_KEY,
182175
openaiExtraConfig: MIDSCENE_MODEL_INIT_CONFIG_JSON,
183176
extraBody: MIDSCENE_MODEL_EXTRA_BODY_JSON,
184-
maxTokens: MIDSCENE_MODEL_MAX_TOKENS,
185177
/**
186178
* Extra
187179
*/
@@ -219,7 +211,6 @@ export const DEFAULT_MODEL_CONFIG_KEYS_LEGACY: IModelConfigKeys = {
219211
openaiApiKey: OPENAI_API_KEY,
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openaiExtraConfig: MIDSCENE_OPENAI_INIT_CONFIG_JSON,
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extraBody: MIDSCENE_MODEL_EXTRA_BODY_JSON,
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maxTokens: OPENAI_MAX_TOKENS,
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/**
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* Extra
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*/

‎packages/shared/src/env/parse-model-config.ts‎

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@@ -18,7 +18,6 @@ import {
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MODEL_FAMILY_VALUES,
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OPENAI_API_KEY,
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OPENAI_BASE_URL,
21-
OPENAI_MAX_TOKENS,
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type TIntent,
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type TModelFamily,
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UITarsModelVersion,
@@ -201,9 +200,6 @@ export const parseOpenaiSdkConfig = ({
201200
const legacyOpenaiExtraConfig = useLegacyLogic
202201
? provider[MIDSCENE_OPENAI_INIT_CONFIG_JSON]
203202
: undefined;
204-
const legacyMaxTokens = useLegacyLogic
205-
? provider[OPENAI_MAX_TOKENS]
206-
: undefined;
207203
const legacyModelFamily = useLegacyLogic
208204
? legacyConfigToModelFamily(provider)
209205
: undefined;
@@ -226,13 +222,6 @@ export const parseOpenaiSdkConfig = ({
226222
);
227223
const extraBodyStr: string | undefined = provider[keys.extraBody];
228224
const extraBody = parseJson(keys.extraBody, extraBodyStr);
229-
const maxTokensStr = provider[keys.maxTokens] || legacyMaxTokens;
230-
const maxTokens = (() => {
231-
const val = maxTokensStr?.trim();
232-
if (!val) return undefined;
233-
const num = Number(val);
234-
return Number.isFinite(num) ? num : undefined;
235-
})();
236225
const temperature = provider[keys.temperature]
237226
? Number(provider[keys.temperature])
238227
: 0;
@@ -250,7 +239,6 @@ export const parseOpenaiSdkConfig = ({
250239
openaiApiKey,
251240
openaiExtraConfig: normalizeOpenaiExtraConfig(openaiExtraConfig),
252241
extraBody,
253-
maxTokens,
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modelFamily,
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uiTarsModelVersion,
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modelName: modelName!,

‎packages/shared/src/env/types.ts‎

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@@ -24,7 +24,6 @@ export const MIDSCENE_MODEL_HTTP_PROXY = 'MIDSCENE_MODEL_HTTP_PROXY';
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// New primary names for public API
2525
export const MIDSCENE_MODEL_API_KEY = 'MIDSCENE_MODEL_API_KEY';
2626
export const MIDSCENE_MODEL_BASE_URL = 'MIDSCENE_MODEL_BASE_URL';
27-
export const MIDSCENE_MODEL_MAX_TOKENS = 'MIDSCENE_MODEL_MAX_TOKENS';
2827
export const MIDSCENE_MODEL_TIMEOUT = 'MIDSCENE_MODEL_TIMEOUT';
2928
export const MIDSCENE_MODEL_TEMPERATURE = 'MIDSCENE_MODEL_TEMPERATURE';
3029
export const MIDSCENE_MODEL_RETRY_COUNT = 'MIDSCENE_MODEL_RETRY_COUNT';
@@ -57,11 +56,6 @@ export const MIDSCENE_OPENAI_HTTP_PROXY = 'MIDSCENE_OPENAI_HTTP_PROXY';
5756
* @deprecated Use MIDSCENE_MODEL_SOCKS_PROXY instead. This is kept for backward compatibility.
5857
*/
5958
export const MIDSCENE_OPENAI_SOCKS_PROXY = 'MIDSCENE_OPENAI_SOCKS_PROXY';
60-
/**
61-
* @deprecated Use MIDSCENE_MODEL_MAX_TOKENS instead. This is kept for backward compatibility.
62-
*/
63-
export const OPENAI_MAX_TOKENS = 'OPENAI_MAX_TOKENS';
64-
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export const MIDSCENE_ADB_PATH = 'MIDSCENE_ADB_PATH';
6660
export const MIDSCENE_ADB_REMOTE_HOST = 'MIDSCENE_ADB_REMOTE_HOST';
6761
export const MIDSCENE_ADB_REMOTE_PORT = 'MIDSCENE_ADB_REMOTE_PORT';
@@ -106,8 +100,6 @@ export const MIDSCENE_INSIGHT_MODEL_INIT_CONFIG_JSON =
106100
'MIDSCENE_INSIGHT_MODEL_INIT_CONFIG_JSON';
107101
export const MIDSCENE_INSIGHT_MODEL_EXTRA_BODY_JSON =
108102
'MIDSCENE_INSIGHT_MODEL_EXTRA_BODY_JSON';
109-
export const MIDSCENE_INSIGHT_MODEL_MAX_TOKENS =
110-
'MIDSCENE_INSIGHT_MODEL_MAX_TOKENS';
111103
export const MIDSCENE_INSIGHT_MODEL_TIMEOUT = 'MIDSCENE_INSIGHT_MODEL_TIMEOUT';
112104
export const MIDSCENE_INSIGHT_MODEL_TEMPERATURE =
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'MIDSCENE_INSIGHT_MODEL_TEMPERATURE';
@@ -137,8 +129,6 @@ export const MIDSCENE_PLANNING_MODEL_INIT_CONFIG_JSON =
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'MIDSCENE_PLANNING_MODEL_INIT_CONFIG_JSON';
138130
export const MIDSCENE_PLANNING_MODEL_EXTRA_BODY_JSON =
139131
'MIDSCENE_PLANNING_MODEL_EXTRA_BODY_JSON';
140-
export const MIDSCENE_PLANNING_MODEL_MAX_TOKENS =
141-
'MIDSCENE_PLANNING_MODEL_MAX_TOKENS';
142132
export const MIDSCENE_PLANNING_MODEL_TIMEOUT =
143133
'MIDSCENE_PLANNING_MODEL_TIMEOUT';
144134
export const MIDSCENE_PLANNING_MODEL_TEMPERATURE =
@@ -225,7 +215,6 @@ export const MODEL_ENV_KEYS = [
225215
MIDSCENE_MODEL_BASE_URL,
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MIDSCENE_MODEL_SOCKS_PROXY,
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MIDSCENE_MODEL_HTTP_PROXY,
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MIDSCENE_MODEL_MAX_TOKENS,
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MIDSCENE_MODEL_TIMEOUT,
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MIDSCENE_MODEL_TEMPERATURE,
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MIDSCENE_MODEL_RETRY_COUNT,
@@ -242,7 +231,6 @@ export const MODEL_ENV_KEYS = [
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// model default legacy
243232
OPENAI_API_KEY,
244233
OPENAI_BASE_URL,
245-
OPENAI_MAX_TOKENS,
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MIDSCENE_OPENAI_INIT_CONFIG_JSON,
247235
MIDSCENE_OPENAI_HTTP_PROXY,
248236
MIDSCENE_OPENAI_SOCKS_PROXY,
@@ -254,7 +242,6 @@ export const MODEL_ENV_KEYS = [
254242
MIDSCENE_INSIGHT_MODEL_API_KEY,
255243
MIDSCENE_INSIGHT_MODEL_INIT_CONFIG_JSON,
256244
MIDSCENE_INSIGHT_MODEL_EXTRA_BODY_JSON,
257-
MIDSCENE_INSIGHT_MODEL_MAX_TOKENS,
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MIDSCENE_INSIGHT_MODEL_TIMEOUT,
259246
MIDSCENE_INSIGHT_MODEL_TEMPERATURE,
260247
MIDSCENE_INSIGHT_MODEL_RETRY_COUNT,
@@ -271,7 +258,6 @@ export const MODEL_ENV_KEYS = [
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MIDSCENE_PLANNING_MODEL_API_KEY,
272259
MIDSCENE_PLANNING_MODEL_INIT_CONFIG_JSON,
273260
MIDSCENE_PLANNING_MODEL_EXTRA_BODY_JSON,
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MIDSCENE_PLANNING_MODEL_MAX_TOKENS,
275261
MIDSCENE_PLANNING_MODEL_TIMEOUT,
276262
MIDSCENE_PLANNING_MODEL_TEMPERATURE,
277263
MIDSCENE_PLANNING_MODEL_RETRY_COUNT,
@@ -340,8 +326,6 @@ export interface IModelConfigForInsight {
340326
[MIDSCENE_INSIGHT_MODEL_API_KEY]?: string;
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[MIDSCENE_INSIGHT_MODEL_INIT_CONFIG_JSON]?: string;
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[MIDSCENE_INSIGHT_MODEL_EXTRA_BODY_JSON]?: string;
343-
// max tokens
344-
[MIDSCENE_INSIGHT_MODEL_MAX_TOKENS]?: string;
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// timeout
346330
[MIDSCENE_INSIGHT_MODEL_TIMEOUT]?: string;
347331
// temperature
@@ -361,8 +345,6 @@ export interface IModelConfigForPlanning {
361345
[MIDSCENE_PLANNING_MODEL_API_KEY]?: string;
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[MIDSCENE_PLANNING_MODEL_INIT_CONFIG_JSON]?: string;
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[MIDSCENE_PLANNING_MODEL_EXTRA_BODY_JSON]?: string;
364-
// max tokens
365-
[MIDSCENE_PLANNING_MODEL_MAX_TOKENS]?: string;
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// timeout
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[MIDSCENE_PLANNING_MODEL_TIMEOUT]?: string;
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// temperature
@@ -390,8 +372,6 @@ export interface IModelConfigForDefault {
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[MIDSCENE_MODEL_API_KEY]?: string;
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[MIDSCENE_MODEL_INIT_CONFIG_JSON]?: string;
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[MIDSCENE_MODEL_EXTRA_BODY_JSON]?: string;
393-
// max tokens
394-
[MIDSCENE_MODEL_MAX_TOKENS]?: string;
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// extra
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[MIDSCENE_MODEL_FAMILY]?: TModelFamily;
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// temperature
@@ -414,7 +394,6 @@ export interface IModelConfigForDefaultLegacy {
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[OPENAI_BASE_URL]?: string;
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[OPENAI_API_KEY]?: string;
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[MIDSCENE_OPENAI_INIT_CONFIG_JSON]?: string;
417-
[OPENAI_MAX_TOKENS]?: string;
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}
419398

420399
/**
@@ -491,10 +470,6 @@ export interface IModelConfig {
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* Example: { "chat_template_kwargs": { "enable_thinking": true } }
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*/
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extraBody?: Record<string, unknown>;
494-
/**
495-
* max_tokens for model responses.
496-
*/
497-
maxTokens?: number;
498473
/**
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* Timeout for API calls in milliseconds.
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* If not set, uses OpenAI SDK default (10 minutes).

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