chore(release): promote 0.1.27 to main

docs-site/src/content/docs/reference/architecture.md

@@ -118,14 +118,18 @@ Anthropic SSE comments and `ping` events count as upstream activity, including w
 thinking during context compaction. Proxy-generated keep-alives do not reset the stall deadline;
 an upstream connection that stops sending activity still times out.
 
-For Opus 5.5 through the canonical Anthropic API, ordinary routed turns default to a
-128,000-token total output allowance when the caller omits a limit. This uses the model's
-[documented capacity for long coding turns](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-opus-5-5#calibrate-effort)
-and preserves the requested reasoning effort. Adaptive thinking and answer text share the
-allowance; effort does not enforce a separate thinking budget. Explicit limits remain
-authoritative, and other models and custom Anthropic-compatible endpoints retain their defaults.
-
-Routed context compaction for the same model and endpoint uses at most
+Ordinary routed turns use known provider/model output allowances by default, including
+requests with smaller caller-supplied caps. Set the global `outputTokenPolicy` to `request`
+to honor explicit caps and configured fallback budgets. Output metadata is matched to the
+provider destination before selecting an allowance.
+
+Native Claude Fable 5.2 and Opus 5.5 have 128,000-token output allowances. Adaptive thinking
+and answer text share the allowance, while effort controls reasoning depth. Protocols
+that expose no output-budget field leave generation limits to the upstream service.
+See [output token allowances](/reference/configuration/providers/#output-token-allowances)
+for configuration and coverage.
+
+Routed context compaction for Opus 5.5 through the canonical Anthropic API uses at most
 `medium` reasoning effort and defaults to a 64,000-token total output limit when the caller
 omits one. Adaptive thinking and summary text share that limit; effort does not reserve a
 fixed number of tokens for the summary. Explicit output limits and lower reasoning efforts

docs-site/src/content/docs/reference/configuration/providers.md

@@ -14,6 +14,7 @@ authenticated.
 | `disabledModels?` | `string[]` | — | Models hidden from Codex's catalog and `/v1/models`, but not blocked from direct proxy calls. A routed id is removed from listings. An account-qualified native id hides only that selector row; a bare native GPT id hides the bare row and every account-selector row for that model. The dashboard Models page exposes only routed and bare native rows; use this configuration field directly to hide one selector-qualified row. |
 | `providerContextCaps?` | `Record<string, number>` | `{}` | Per-provider Codex-visible context caps. A cap only lowers a known context window. |
 | `contextCapValue?` | `number` | `350000` | Value used by the dashboard context-cap controls; changing it updates every enabled `providerContextCaps` entry. |
+| `outputTokenPolicy?` | `"request" \| "model-max"` | `"model-max"` | Uses the known output allowance for ordinary requests, including requests with a smaller caller-supplied cap. Select `request` to honor caller caps and configured fallback budgets. |
 | `codexAccounts?` | `CodexAccount[]` | `[]` | ChatGPT/Codex pool account metadata managed by Codex Auth. Secrets live separately in `codex-accounts.json`. |
 | `pausedCodexAccountIds?` | `string[]` | `[]` | Accounts excluded from Pool selection until resumed, including the main `__main__` account when paused. |
 | `codexAccountNamespaces?` | `Record<string, string>` | — | Optional map from an arbitrary public model selector to a stored Codex account target. Each selector whose target is present adds separate `<selector>/<native-openai-model>` rows to the Codex picker; each row uses only that account. With any selector active, bare native rows are hidden in the picker, but their ids remain routable and listed by raw `/v1/models` unless explicitly disabled. |
@@ -38,6 +39,31 @@ configured pool ids or selector targets also cannot reuse a selector. Keep raw a
 emails private; the selector is the public name. See [Routing Configuration](/reference/configuration/routing/)
 for exact-selection behavior and precedence.
 
+## Output token allowances
+
+Ordinary requests use the known output allowance for their selected provider and model by
+default. This also applies when an existing configuration omits `outputTokenPolicy`.
+
+```json
+{
+  "outputTokenPolicy": "request"
+}
+```
+
+With the default `model-max` policy, a smaller caller-supplied output cap is raised when CodexCommander has
+matching output-limit metadata for the route. For example, a 32,768-token request for native
+Claude Fable 5.2 can use its 128,000-token allowance. Thinking and visible output share that
+allowance.
+
+The `request` setting shown above honors explicit caller caps. Requests that omit a cap can
+use known model allowances after configured fallback budgets. Unknown capacities use the
+request or adapter fallback. Adapters whose upstream protocol has no output-limit field use
+the upstream's allowance.
+
+Context compaction keeps its maintenance budgets. Provider output ceilings and context
+windows still apply, and reaching a ceiling produces an incomplete response. A larger
+allowance can permit longer generation and higher usage.
+
 ## Reserved OpenAI providers
 
 `openai` and `openai-apikey` are fixed reserved ids. `openai.codexAccountMode` is `"pool"` by default
@@ -67,8 +93,8 @@ metadata, and Pro virtual ids rewrite to the base wire model with `reasoning.mod
 | `modelContextWindows?` | `Record<string, number>` | Per-model context caps. These override `contextWindow` and never raise smaller live metadata. |
 | `modelInputModalities?` | `Record<string, string[]>` | Per-model input hints such as `["text"]` or `["text", "image"]`. |
 | `modelMaxInputTokens?` | `Record<string, number>` | Positive per-model max input limits used for catalog auto-compaction hints. |
-| `defaultMaxOutputTokens?` | `number` | Provider-wide `openai-chat` fallback when the client omits `max_output_tokens`. |
-| `modelMaxOutputTokens?` | `Record<string, number>` | Positive per-model `openai-chat` fallback budgets; exact/pattern matches beat the provider default. |
+| `defaultMaxOutputTokens?` | `number` | Provider-wide fallback for translated Anthropic, Chat Completions, Google, and Command Code requests when the client omits an output cap. |
+| `modelMaxOutputTokens?` | `Record<string, number>` | Positive per-model fallback budgets for translated requests. Exact/pattern matches beat the provider default. The `model-max` policy uses known model allowances ahead of these budgets. |
 | `chatCompletionTokenField?` | `"max_tokens" \| "max_completion_tokens"` | Chat Completions output-budget field. Defaults to `max_tokens`; canonical Kimi Coding Plan presets use `max_completion_tokens`. |
 | `headers?` | `Record<string, string>` | Extra upstream headers. Authorization, cookies, API-key headers, embedded newlines, and invalid names are rejected. |
 | `openRouterRouting?` | `OpenRouterProviderRouting` | Default OpenRouter `order`, `only`, and `allowFallbacks` preferences; valid only for canonical OpenRouter with `openai-chat`. |

package.json

@@ -1,6 +1,6 @@
 {
   "name": "codexcommander",
-  "version": "0.1.26",
+  "version": "0.1.27",
   "private": true,
   "description": "CodexCommander — universal provider proxy for OpenAI Codex & Claude Code — use any LLM with Codex CLI/App/SDK and Claude Code",
   "type": "module",

src/adapters/anthropic.ts

@@ -1,6 +1,7 @@
 import type { IncomingMeta, ProviderAdapter } from "./base";
 import { debugDroppedFrame } from "../lib/debug";
 import { isCanonicalAnthropicEndpoint } from "../lib/anthropic-endpoint";
+import { knownModelOutputTokenLimit, resolveOutputTokenBudget } from "../output-budget";
 import type {
   AdapterEvent,
   CodexCommanderAssistantMessage,
@@ -39,7 +40,7 @@ function toAnthropicContentPart(p: CodexCommanderContentPart): unknown {
 
 /** Default `max_tokens` when Codex omits `max_output_tokens`. */
 const DEFAULT_MAX_TOKENS = 8192;
-/** Safe ceiling for `max_tokens` (thinking + visible output) across current Claude 4.x models. */
+/** Compatibility fallback when a legacy thinking model has no verified output limit. */
 const REASONING_MAX_TOKENS_CEILING = 32_000;
 /** Ordinary adaptive-thinking sizing: heuristic max effort allowance (32k) + 8192.
  * Adaptive effort is soft guidance, so this total does not reserve a hard visible-output portion. */
@@ -857,11 +858,8 @@ export function createAnthropicAdapter(provider: CodexCommanderProviderConfig, c
       enforceAnthropicImageLimits(messages);
       const tools = toolsToAnthropicFormat(parsed, toolNames);
 
-      // Adaptive effort has no fixed thinking reservation: the legacy effort heuristic
-      // can exhaust its shared total before an ordinary Opus 5.5 turn finishes. Use the
-      // documented long-turn allowance only for this known model and native endpoint;
-      // compatible gateways may have lower limits. Compaction keeps its smaller summary
-      // allowance and effort cap, while an explicit caller total always wins.
+      // Native Opus maintenance keeps its smaller summary allowance and effort cap.
+      // Ordinary turns resolve their total independently from reasoning effort.
       const version = claudeFamilyVersion(parsed.modelId);
       const nativeOpus55 = version?.family === "opus" && version.major === 5 && version.minor === 5
         && isCanonicalAnthropicEndpoint(provider.baseUrl);
@@ -871,8 +869,8 @@ export function createAnthropicAdapter(provider: CodexCommanderProviderConfig, c
         && requestedEffort !== "none" && requestedEffort !== "minimal" && requestedEffort !== "low"
         ? "medium"
         : requestedEffort;
-      const maxOutputTokens = parsed.options.maxOutputTokens
-        ?? (nativeOpus55 ? (opusCompaction ? OPUS_5_5_COMPACTION_MAX_TOKENS : OPUS_5_5_MAX_TOKENS) : undefined);
+      const maxOutputTokens = resolveOutputTokenBudget(provider, parsed,
+        nativeOpus55 ? (opusCompaction ? OPUS_5_5_COMPACTION_MAX_TOKENS : OPUS_5_5_MAX_TOKENS) : undefined);
       // Do not mutate parsed.options: requested-effort diagnostics describe the client.
       // Anthropic has no reasoningLog field for output_config.effort in the shared contract.
 
@@ -927,12 +925,16 @@ export function createAnthropicAdapter(provider: CodexCommanderProviderConfig, c
           // visible output) and budget_tokens >= 1024. Codex sends the SAME value for both, which
           // 400s ("max_tokens must be greater than thinking.budget_tokens"). Size them so max_tokens
           // always exceeds the budget within a model-safe ceiling, reserving room for visible output.
-          const maxOut = maxOutputTokens ?? DEFAULT_MAX_TOKENS;
           const wantBudget = reasoningBudget(reasoningEffort);
-          const maxTokens = Math.min(REASONING_MAX_TOKENS_CEILING, Math.max(maxOut, wantBudget + OUTPUT_HEADROOM));
-          const budget = Math.max(MIN_THINKING_BUDGET, Math.min(wantBudget, maxTokens - OUTPUT_FLOOR));
+          const knownLimit = knownModelOutputTokenLimit(provider, parsed.modelId);
+          const maxTokens = knownLimit !== undefined && maxOutputTokens !== undefined
+            ? maxOutputTokens
+            : Math.min(REASONING_MAX_TOKENS_CEILING, Math.max(maxOutputTokens ?? DEFAULT_MAX_TOKENS, wantBudget + OUTPUT_HEADROOM));
           body.max_tokens = maxTokens;
-          body.thinking = { type: "enabled", budget_tokens: budget };
+          if (maxTokens > MIN_THINKING_BUDGET) {
+            const budget = Math.max(MIN_THINKING_BUDGET, Math.min(wantBudget, maxTokens - OUTPUT_FLOOR));
+            body.thinking = { type: "enabled", budget_tokens: budget };
+          }
         }
         // Extended thinking disallows temperature != 1 and top_p — drop both or the API 400s.
         delete body.temperature;

src/adapters/command-code.ts

@@ -1,4 +1,5 @@
 import { dispatchHttpFetch, cleanupResponseDispatch, closeAdapterObservation, observeAdapterEvent, observeDispatch, responseDispatch } from "../usage/dispatch-http";
+import { resolveOutputTokenBudget } from "../output-budget";
 import { randomUUID } from "node:crypto";
 import { execFile as execFileCallback } from "node:child_process";
 import { promisify } from "node:util";
@@ -356,7 +357,7 @@ export function createCommandCodeAdapter(provider: CodexCommanderProviderConfig)
           messages: wireMessages(parsed.context.messages),
           tools: wireTools(tools),
           system,
-          max_tokens: parsed.options.maxOutputTokens ?? provider.defaultMaxOutputTokens ?? 64_000,
+          max_tokens: resolveOutputTokenBudget(provider, parsed, provider.defaultMaxOutputTokens ?? 64_000),
           // The proprietary /alpha/generate endpoint is NDJSON-stream-only; the proxy converts
           // the buffered/streamed events to the client's requested shape (parsed.stream).
           stream: true,

src/adapters/google.ts

@@ -1,4 +1,5 @@
 import type { AdapterFetchContext, AdapterRequest, ProviderAdapter } from "./base";
+import { resolveOutputTokenBudget } from "../output-budget";
 import { debugDroppedFrame } from "../lib/debug";
 import { createHash } from "node:crypto";
 import { createImageBudget, materializeInlineImage, MAX_ENCODED_BYTES_PER_IMAGE, artifactHttpUrl } from "../images/artifacts";
@@ -335,7 +336,8 @@ export function createGoogleAdapter(provider: CodexCommanderProviderConfig): Pro
       if (toolConfig) body.toolConfig = toolConfig;
 
       const generationConfig: Record<string, unknown> = {};
-      if (parsed.options.maxOutputTokens) generationConfig.maxOutputTokens = parsed.options.maxOutputTokens;
+      const maxOutputTokens = resolveOutputTokenBudget(provider, parsed);
+      if (maxOutputTokens !== undefined) generationConfig.maxOutputTokens = maxOutputTokens;
       if (parsed.options.temperature !== undefined) generationConfig.temperature = parsed.options.temperature;
       if (parsed.options.topP !== undefined) generationConfig.topP = parsed.options.topP;
       if (parsed.options.stopSequences) generationConfig.stopSequences = parsed.options.stopSequences;

src/adapters/openai-chat.ts

@@ -2,6 +2,7 @@ import type { AdapterRequest, ProviderAdapter } from "./base";
 import type { AdapterEvent, CodexCommanderAssistantMessage, CodexCommanderContentPart, CodexCommanderMessage, CodexCommanderParsedRequest, CodexCommanderProviderConfig, CodexCommanderTextContent, CodexCommanderThinkingContent, CodexCommanderToolCall, CodexCommanderUsage } from "../types";
 import { isAllowedToolChoice, modelInList, namespacedToolName, resolveToolChoiceWireName, toolAllowedByChoice } from "../types";
 import { mapReasoningEffort, modelRecordValue } from "../reasoning-effort";
+import { resolveOutputTokenBudget } from "../output-budget";
 import { debugProviderDiagnostic } from "../lib/debug";
 import { isDebugEnabled } from "../lib/debug-settings";
 import { isCyberPolicyCode } from "../lib/errors";
@@ -881,7 +882,8 @@ export function createOpenAIChatAdapter(provider: CodexCommanderProviderConfig):
         stream: parsed.stream,
       };
       if (modelInList(provider.reasoningSplitModels, parsed.modelId)) body.reasoning_split = true;
-      const maxTokens = resolveMaxTokens(provider, parsed);
+      const requestedMaxTokens = resolveMaxTokens(provider, parsed);
+      const maxTokens = resolveOutputTokenBudget(provider, parsed, requestedMaxTokens);
       const openRouterRouting = resolveOpenRouterRouting(provider, parsed.modelId);
       if (openRouterRouting) body.provider = openRouterProviderPayload(openRouterRouting);
       if (tools) body.tools = tools;
@@ -921,7 +923,7 @@ export function createOpenAIChatAdapter(provider: CodexCommanderProviderConfig):
             wireValue: reasoningEffort,
           };
         } else if (modelInList(provider.thinkingBudgetModels, parsed.modelId)) {
-          const budget = thinkingBudgetForEffort(parsed, reasoningEffort, maxTokens);
+          const budget = thinkingBudgetForEffort(parsed, reasoningEffort, requestedMaxTokens);
           if (budget !== undefined) {
             body.thinking_budget = budget;
             reasoningLog = {

src/adapters/openai-responses.ts

@@ -1,4 +1,5 @@
 import { isNativeResponsesProvider, NATIVE_RESPONSES_HEADERS } from "../responses/native-policy";
+import { knownModelOutputTokenLimit, resolveOutputTokenBudget } from "../output-budget";
 import { createHash } from "node:crypto";
 import type { AdapterRequest, IncomingMeta, ProviderAdapter } from "./base";
 import { namespacedToolName, type AdapterEvent, type CodexCommanderParsedRequest, type CodexCommanderProviderConfig, type CodexCommanderUsage } from "../types";
@@ -1235,6 +1236,11 @@ export function createResponsesPassthroughAdapter(provider: CodexCommanderProvid
         );
         outBody = normalizeImageGenClientTools(outBody);
       }
+      if (!forward && provider._outputTokenPolicy === "model-max"
+        && knownModelOutputTokenLimit(provider, parsed.modelId) !== undefined
+        && parsed._compactionRequest !== true && isPlainObject(outBody)) {
+        outBody = { ...outBody, max_output_tokens: resolveOutputTokenBudget(provider, parsed) };
+      }
       if (!native && (forward || parsed._previousResponseInputExpanded === true)) {
         outBody = repairOversizedReplayCallIds(outBody);
       }

src/config.ts

@@ -1107,6 +1107,7 @@ const configSchema = z.object({
     .optional(),
   providers: z.record(z.string(), providerConfigSchema),
   defaultProvider: z.string().min(1),
+  outputTokenPolicy: z.enum(["request", "model-max"]).optional(),
   claudeCode: claudeCodeSchema.optional(),
   clientIntegrations: clientIntegrationsSchema.optional(),
   subagentModels: subagentRosterSchema.optional(),
@@ -2524,6 +2525,7 @@ export function getDefaultConfig(): CodexCommanderConfig {
       },
     },
     defaultProvider: "openai",
+    outputTokenPolicy: "model-max",
     subagentModels: DEFAULT_SUBAGENT_MODELS.map(model => ({ model })),
     multiAgentGuidanceEnabled: true,
     websockets: false,