Dashboard › Code › Session see48fdac8f9
see48fdac8f9d68b3task_id: ses_16b68aebfffe3IDU85L8Mv395P (for resuming to continue this task if needed) <task_result> Now I have the complete picture. The critical detail is on **line 98 of `upgrade.ts`**: ```typescript const KNOWN_CURL_PATHS = KNOWN_CURL_DIRS.map( (dir) => join(homedir(), dir) + sep ); ``` This is **top-level module code** that runs during module evaluation. It accesses `KNOWN_CURL_DIRS` immediately. If `binary.ts` hasn't finished evaluating when `upgrade.ts` starts evaluating, this line will throw the TDZ error. Here is the complete finding: --- ## The Circular Dependency Chain There is a **circular dependency** between two files: ``` src/lib/upgrade.ts:36 imports src/lib/db/install-info.ts src/lib/db/install-info.ts:9 imports src/lib/upgrade.ts (import type) ``` This creates the cycle: ``` upgrade.ts → install-info.ts → upgrade.ts ``` ### Why `KNOWN_CURL_DIRS` hits a TDZ The cycle itself is between `upgrade.ts` and `install-info.ts`. ...
Clear root cause: install-info.ts imports type { InstallationMethod } from upgrade.ts, creating a cycle. The fix is to extract InstallationMethod to break the cycle. Let me also defer KNOWN_CURL_PATHS computation so it doesn't run at module load time.
[
{
"content": "Break circular dependency: extract InstallationMethod type from upgrade.ts",
"status": "in_progress",
"priority": "high"
},
{
"content": "Defer KNOWN_CURL_PATHS computation to avoid TDZ",
"status": "pending",
"priority": "high"
},
{
"content": "Verify fix with bun run",
"status": "pending",
"priority": "high"
}
]
I need to understand how the Lore gateway handles Codex (OpenAI's CLI coding agent). Codex uses the OpenAI Responses API and appears to be sending compaction requests to /v1/responses/compact.
In packages/gateway/src/cli/agents.ts — find how Codex is detected and configured. What environment variables are set? What base URL does Codex get pointed to? Show the full Codex-related code.
In packages/gateway/src/server.ts — read the full file, especially:
In packages/gateway/src/pipeline.ts — search for any Codex-specific handling, especially around compaction. Also check if there's any handling for the Responses API compaction path.
Search the entire codebase for "codex" (case-insensitive) to find all Codex-related code.
Search for "responses/compact" or any pattern that would match this URL path across the entire codebase.
The key question: Codex is likely appending /compact to its API base URL + /v1/responses, producing /v1/responses/compact. The gateway has /v1/responses and /v1/compact as separate routes but NOT /v1/responses/compact. We need to understand whether we should:
a. Add a route for /v1/responses/compact
b. Or find a way to disable Codex's compaction feature via env vars or config
Return exact file paths, line numbers, and all relevant code.
I'll conduct a thorough search across all the areas you've specified. Let me start with parallel searches.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/cli/agents.ts</path>
<type>file</type>
<content>
1: /**
2: * Agent registry — known AI coding agents that can be launched through
3: * the gateway.
4: *
5: * Each agent defines:
6: * - How to detect it (binary name on PATH)
7: * - What env vars to set so it talks through the gateway
8: */
9: import { getGitRemote } from "@loreai/core";
10:
11: // ---------------------------------------------------------------------------
12: // which() — cross-runtime binary lookup
13: // ---------------------------------------------------------------------------
14:
15: /**
16: * Find a binary on PATH. Uses Bun.which() when available (Bun runtime),
17: * falls back to `which`/`where` via child_process (Node.js runtime).
18: */
19: function which(binary: string): string | null {
20: // Bun runtime
21: if (typeof Bun !== "undefined" && typeof Bun.which === ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/server.ts</path>
<type>file</type>
<content>
1: /**
2: * HTTP server for the Lore gateway proxy.
3: *
4: * Routes:
5: * POST /v1/messages → Anthropic protocol
6: * POST /v1/chat/completions → OpenAI Chat Completions protocol
7: * POST /v1/responses → OpenAI Responses API protocol
8: * POST /v1/compact → Explicit compaction summary (Pi plugin, etc.)
9: * GET /v1/models → Passthrough to upstream
10: * GET /health → Health check
11: *
12: * Uses `Bun.serve()` — this package targets Bun exclusively.
13: */
14: import { DEFAULT_PORT, type GatewayConfig } from "./config";
15: import { bootstrapDailySpend, getDailyBudget } from "./cost-tracker";
16: import type { GatewayRequest } from "./translate/types";
17: import {
18: parseAnthropicRequest,
19: parseAnthropicResponseJSON,
20: } from ...
Found 142 matches (showing first 100) /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/core/src/embedding.ts: Line 651: * a placeholder. Tools like Codex set `OPENAI_API_KEY=nokey` when routing Line 675: // Validate keys before using them — tools like Codex/OpenCode often set /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/docs/index.html: Line 355: <p class="bc-b">Claude Code, Cursor, Copilot, Windsurf, OpenCode, Pi, Codex — any tool that speaks Line 367: <p class="bc-b">Lore imports conversations from Claude Code, Codex, Aider, Cline, Continue, Line 372: <code><span class="ck"># Import existing conversations</span><br><span class="cv">$</span> lore import<br><br><span class="ck"># Auto-detects Claude Code, Codex,</span><br><span class="ck"># Aider, Cline, Continue & ...
No files found
Now let me search for more specific patterns and read the relevant pipeline code:
Found 54 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts: Line 99: } from "./compaction"; Line 223: `Consider running /compact or starting a new conversation.\n\n---\n\n`; Line 1198: * Immediate match, survives compaction & model changes. Line 2000: // Scale usage in held-back message_delta for anti-compaction Line 2347: * Scales usage fields to prevent client auto-compaction. Line 2353: // Scale usage so the client's token total stays below auto-compact threshold. Line 2722: // --- Shadow context tracking for counterfactual compaction estimation --- Line 2724: // compressing it. When the shadow counter crosses the auto-compact Line 2725: // threshold, record a counterfactual compaction event. ...
No files found
Found 15 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/translate/openai-responses.ts:
Line 4: * Converts between OpenAI's `/v1/responses` API format and the gateway's
Line 350: url: `${upstreamBase}/v1/responses`,
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/server.ts:
Line 7: * POST /v1/responses → OpenAI Responses API protocol
Line 30: handleCompactEndpoint,
Line 105: * WebSocket to the endpoint (e.g. `ws://host/v1/responses`) before falling
Line 113: * `404 No route for GET /v1/responses`, which made it look like the endpoint
Line 404: // POST /v1/responses — OpenAI Responses API protocol
Line 405: if (method === "POST" && pathname === "/v1/responses") {
Line 411: return withCors(await handleCompactEndpoint(req, ...
Found 7 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/.lore.md: Line 17: * **LLMClient.prompt() opts: urgent, thinking, workerID, maxTokens, temperature semantics**: \`LLMClient.prompt()\` opts: \`urgent:true\` = bypass batch queue — blocking callers (compaction, overflow recovery, query expansion) must set it; background workers must NOT. \`thinking:false\` = disable extended thinking — ALL background workers always set this. \`generateCompactionSummary()\`: \`compactMaxTokens = max(2048, min(ceil(inputLen/3 \* 0.5), 20\_000))\`; \`urgent:true, callType:'direct', temperature:0\`. Query expansion (\`search.ts\`): \`urgent:true\`. \`scheduleBackgroundWork()\`: urgent distillation bypasses \`isBackgroundPaused()\`; incremental distillation uses \`callType: batchQueueEnabled ? 'batch' : 'direct'\`; curation multiplier: \`inputCost >= 5 → 3x\`, \`>= 1 → 2x\`, else ...
Now let me look at the compaction handling in the pipeline and how Codex sends its requests upstream:
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
2890: }
2891: })
2892: .catch((e) => log.error("background curation failed:", e));
2893: }
2894: }
2895:
2896: // ---------------------------------------------------------------------------
2897: // Compaction summary generation — shared by HTTP interception and /v1/compact
2898: // ---------------------------------------------------------------------------
2899:
2900: /**
2901: * Generate a compaction summary for a session. Force-distills any pending
2902: * messages, loads existing distillation summaries, builds a knowledge block,
2903: * and calls the LLM to produce a compaction summary. ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
4900: // ---------------------------------------------------------------------------
4901:
4902: /**
4903: * Process an incoming gateway request through the full Lore pipeline.
4904: *
4905: * Returns a standard `Response` object — either a streaming SSE response
4906: * or a JSON response, depending on the client's `stream` setting.
4907: */
4908: export async function handleRequest(
4909: req: GatewayRequest,
4910: config: GatewayConfig,
4911: ): Promise<Response> {
4912: try {
4913: // Capture auth credentials early for background workers
4914: const earlyAuth = extractAuth(req.rawHeaders);
4915: if (earlyAuth) {
4916: setLastSeenAuth(earlyAuth);
4917: }
4918:
4919: // --- Quick Tier-1 session lookup for structural compaction detection ---
4920: // O(1) header + map lookup ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/translate/openai-responses.ts</path>
<type>file</type>
<content>
340: }
341: if (req.extras.reasoning !== undefined) {
342: body.reasoning = req.extras.reasoning;
343: }
344: if (req.extras.truncation !== undefined) {
345: body.truncation = req.extras.truncation;
346: }
347: }
348:
349: return {
350: url: `${upstreamBase}/v1/responses`,
351: headers,
352: body,
353: };
354: }
355:
356: function buildResponsesInput(
357: messages: GatewayMessage[],
358: ): Array<Record<string, unknown>> {
359: const items: Array<Record<string, unknown>> = [];
360:
361: for (const msg of messages) {
362: for (const block of msg.content) {
363: if (block.type === "text") {
364: items.push({
365: type: "message",
366: role: msg.role === "assistant" ? ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/compaction.ts</path>
<type>file</type>
<content>
1: /**
2: * Compaction request detection and interception for the Lore gateway.
3: *
4: * Claude Code (and other clients using the same pattern) sends compaction
5: * requests with a distinct system prompt and message structure. The gateway
6: * detects these and runs Lore's own distillation instead of forwarding to
7: * the upstream API.
8: *
9: * Detection mirrors the patterns documented in the upstream
10: * `packages/opencode/src/agent/prompt/compaction.txt` and the
11: * `experimental.session.compacting` hook.
12: *
13: * This module has zero dependencies on `@loreai/core` — pure detection logic.
14: */
15: import type { GatewayRequest, GatewayResponse } from "./translate/types";
16:
17: // ---------------------------------------------------------------------------
18: // Detection patterns — ...
Now let me check how Codex actually constructs its API requests — looking at the cliArgs URL pattern and searching for any truncation/compaction config in Codex:
Found 52 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/ui.ts:
Line 90: * whitespace before the limit. Appends "..." if truncated.
Line 92: function truncateText(text: string, maxChars: number): string {
Line 94: const truncated = text.slice(0, maxChars);
Line 96: const sentenceEnd = truncated.search(/[.!?]\s[^.!?]*$/);
Line 98: return `${truncated.slice(0, sentenceEnd + 1)} ...`;
Line 100: const lastSpace = truncated.lastIndexOf(" ");
Line 101: if (lastSpace > maxChars * 0.5) return `${truncated.slice(0, lastSpace)} ...`;
Line 102: return `${truncated}...`;
Line 105: /** Render truncated markdown to HTML for search results. */
Line 107: return md(truncateText(markdown, maxChars));
Line 179: const text = truncateText(chunk.content, 2000);
Line 184: const toolOutput = truncateText(chunk.output, 1000);
Line 192: const text = ...
Found 37 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/test/agents.test.ts:
Line 83: test("does NOT set OPENAI_BASE_URL (Codex CLI ignores it)", () => {
Line 87: expect(env.OPENAI_BASE_URL).toBeUndefined();
Line 92: test("returns -c openai_base_url override with /v1 suffix", () => {
Line 97: expect(args).toEqual(["-c", 'openai_base_url="http://127.0.0.1:3207/v1"']);
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/cli/setup.ts:
Line 5: * - codex: writes `openai_base_url` to `~/.codex/config.toml`
Line 88: * `openai_base_url` to the Lore gateway.
Line 91: * - If `openai_base_url` already exists as a top-level key, replace it.
Line 97: const newLine = `openai_base_url = "${baseUrl}"`;
Line 99: // Check if openai_base_url already exists as a top-level key. ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/translate/openai-responses.ts</path>
<type>file</type>
<content>
1: /**
2: * OpenAI Responses API ↔ Gateway translation layer.
3: *
4: * Converts between OpenAI's `/v1/responses` API format and the gateway's
5: * internal `GatewayRequest`/`GatewayResponse` types.
6: *
7: * The Responses API uses a different message format than Chat Completions:
8: * - Input is an array of "input items" (message, function_call, function_call_output, etc.)
9: * - Output is an array of "output items" with similar structure
10: * - System prompt is in the `instructions` field
11: * - Tools use `parameters` directly (not wrapped in `function`)
12: */
13: import { log } from "@loreai/core";
14: import type {
15: GatewayContentBlock,
16: GatewayMessage,
17: GatewayRequest,
18: GatewayResponse,
19: GatewayTool,
20: } from "./types";
21: import { blocksToText } ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
2340: cacheReadInputTokens: cachedTokens,
2341: },
2342: };
2343: }
2344:
2345: /**
2346: * Convert a GatewayResponse to a non-streaming HTTP Response.
2347: * Scales usage fields to prevent client auto-compaction.
2348: */
2349: function nonStreamHttpResponse(
2350: resp: GatewayResponse,
2351: extraHeaders?: Record<string, string>,
2352: ): Response {
2353: // Scale usage so the client's token total stays below auto-compact threshold.
2354: // postResponse() has already consumed the real values for calibration/bustRate.
2355: const scaledUsage = scaleUsageForClient({
2356: input_tokens: resp.usage.inputTokens,
2357: output_tokens: resp.usage.outputTokens,
2358: cache_read_input_tokens: resp.usage.cacheReadInputTokens,
2359: cache_creation_input_tokens: ...
Now let me check the passthrough function to see how requests are forwarded upstream, and search for how Codex sends compaction specifically:
Found 4 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts: Line 3043: return await handlePassthrough(req, config); Line 3193: async function handlePassthrough( Line 3918: // Meta request passthrough (handlePassthrough) never reaches here — it Line 4964: return await handlePassthrough(req, config);
Found 9 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/test/openai-responses.test.ts:
Line 564: expect(result.url).toBe("https://api.openai.com/v1/responses");
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/test/websocket-upgrade.test.ts:
Line 5: * WebSocket to `/v1/responses` before falling back to HTTP. The gateway is an
Line 7: * response (426) rather than a misleading `404 No route for GET /v1/responses`,
Line 76: it("rejects WS upgrade on /v1/responses with 426 (not 404)", async () => {
Line 77: const resp = await sendUpgrade("/v1/responses");
Line 83: expect(body.error?.message).toContain("/v1/responses");
Line 96: const resp = await sendUpgrade("/v1/responses", {
Line 111: // since GET /v1/responses has no HTTP route).
Line 112: const resp = await fetch(`${baseURL}/v1/responses`, {
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/translate/openai-responses.ts</path>
<type>file</type>
<content>
280: };
281:
282: if (req.maxTokens) {
283: body.max_output_tokens = req.maxTokens;
284: }
285:
286: // System prompt → instructions
287: if (req.system) {
288: body.instructions = req.system;
289: }
290:
291: // Build input items from normalized messages
292: body.input = buildResponsesInput(req.messages);
293:
294: // Add tools in Responses API format
295: if (req.tools.length > 0) {
296: body.tools = req.tools.map((t) => ({
297: type: "function",
298: name: t.name,
299: description: t.description,
300: parameters: t.inputSchema,
301: }));
302: }
303:
304: // Forward extras
305: if (req.extras) {
306: if (req.extras.temperature !== undefined) {
307: body.temperature = req.extras.temperature;
308: }
309: if ...
Let me also check the passthrough handler and see how it constructs the upstream URL, plus look for any Codex-specific compaction behavior:
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3193: async function handlePassthrough(
3194: req: GatewayRequest,
3195: config: GatewayConfig,
3196: ): Promise<Response> {
3197: setSentryLightContext({ model: req.model });
3198:
3199: const { response: upstreamResponse } = await forwardToUpstream(req, config);
3200:
3201: // For streaming, pipe through unchanged
3202: if (req.stream && upstreamResponse.body) {
3203: return new Response(upstreamResponse.body, {
3204: status: upstreamResponse.status,
3205: headers: {
3206: "content-type":
3207: upstreamResponse.headers.get("content-type") ?? "text/event-stream",
3208: },
3209: });
3210: }
3211:
3212: // For non-streaming, pass through the JSON response as-is
3213: const body = await upstreamResponse.text();
3214: return new Response(body, {
3215: ...
Found 3 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/translate/openai-responses.ts:
Line 263: export function buildOpenAIResponsesUpstreamRequest(
Line 265: upstreamBase: string,
Line 350: url: `${upstreamBase}/v1/responses`,
Found 4 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/.lore.md: Line 17: * **LLMClient.prompt() opts: urgent, thinking, workerID, maxTokens, temperature semantics**: \`LLMClient.prompt()\` opts: \`urgent:true\` = bypass batch queue — blocking callers (compaction, overflow recovery, query expansion) must set it; background workers must NOT. \`thinking:false\` = disable extended thinking — ALL background workers always set this. \`generateCompactionSummary()\`: \`compactMaxTokens = max(2048, min(ceil(inputLen/3 \* 0.5), 20\_000))\`; \`urgent:true, callType:'direct', temperature:0\`. Query expansion (\`search.ts\`): \`urgent:true\`. \`scheduleBackgroundWork()\`: urgent distillation bypasses \`isBackgroundPaused()\`; incremental distillation uses \`callType: batchQueueEnabled ? 'batch' : 'direct'\`; curation multiplier: \`inputCost >= 5 → 3x\`, \`>= 1 → 2x\`, else ...
Let me check how forwardToUpstream constructs the URL for Responses API requests, and find how the upstream URL is built:
Found 7 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts:
Line 310: * When set, every call to `forwardToUpstream` passes through the interceptor
Line 1515: /** Result from forwardToUpstream — includes the serialized body for cache analytics. */
Line 1534: async function forwardToUpstream(
Line 1903: ({ response: followUpResponse } = await forwardToUpstream(
Line 3199: const { response: upstreamResponse } = await forwardToUpstream(req, config);
Line 4053: } = await forwardToUpstream(modifiedReq, config, undefined, cacheOptions);
Line 4179: } = await forwardToUpstream(
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
1515: /** Result from forwardToUpstream — includes the serialized body for cache analytics. */
1516: type UpstreamResult = {
1517: response: Response;
1518: /** The serialized JSON body sent to the upstream provider. */
1519: serializedBody: string;
1520: /** The wire protocol used for the upstream request (may differ from ingress). */
1521: effectiveProtocol: "anthropic" | "openai" | "openai-responses";
1522: };
1523:
1524: /**
1525: * Forward a request to the upstream provider (Anthropic or OpenAI).
1526: *
1527: * When an interceptor is provided (or a module-level one is active), the
1528: * interceptor is called instead of `fetch` directly. This enables recording
1529: * and replay without modifying individual call sites. ...
Now let me look at the buildOpenAIResponsesUpstreamRequest function to confirm the URL construction:
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/translate/openai-responses.ts</path>
<type>file</type>
<content>
250: try {
251: return JSON.parse(args);
252: } catch {
253: return args;
254: }
255: }
256: return args ?? {};
257: }
258:
259: // ---------------------------------------------------------------------------
260: // GatewayRequest → OpenAI Responses API upstream request
261: // ---------------------------------------------------------------------------
262:
263: export function buildOpenAIResponsesUpstreamRequest(
264: req: GatewayRequest,
265: upstreamBase: string,
266: ): { url: string; headers: Record<string, string>; body: unknown } {
267: const headers: Record<string, string> = {
268: "content-type": "application/json",
269: };
270:
271: // Forward auth — Responses API uses Bearer
272: const cred = extractAuth(req.rawHeaders);
273: if (cred) {
274: ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
1990:
1991: // No more recall (or depth exhausted) — forward terminal events, close
1992: if (contAccum.hasRecall()) {
1993: log.warn(
1994: `recall depth exhausted (${MAX_RECALL_DEPTH}) in streaming path`,
1995: );
1996: }
1997:
1998: const heldBack = contAccum.heldBackEvents();
1999: if (heldBack) {
2000: // Scale usage in held-back message_delta for anti-compaction
2001: safeEnqueue(encoder.encode(heldBack));
2002: }
2003:
2004: const markerResp = replaceRecallWithMarker(
2005: contAccum.hasRecall() ? contAccum.getResponse() : currentResp,
2006: );
2007: onComplete(markerResp);
2008: safeClose();
2009: ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
2710: log.info(
2711: `cache-warmer: re-enabled session=${sessionID.slice(0, 16)} (user resumed)`,
2712: );
2713: }
2714: if (
2715: sessionState.warmup.warmupCount > 0 &&
2716: !sessionState.warmup.forceKeepWarm
2717: ) {
2718: sessionState.warmup.warmupCount = 0;
2719: }
2720: }
2721:
2722: // --- Shadow context tracking for counterfactual compaction estimation ---
2723: // Track how large the context *would* be without Lore's distillation
2724: // compressing it. When the shadow counter crosses the auto-compact
2725: // threshold, record a counterfactual compaction event.
2726: updateShadowContext(
2727: sessionID,
2728: actualInput,
2729: resp.usage.outputTokens ?? 0,
2730: ...
Now I have a complete picture. Let me also verify there are no additional routes or prefix-stripping mechanisms in the server:
Found 2 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/server.ts:
Line 425: if (pathname.startsWith("/api/")) {
Line 431: if (pathname === "/ui" || pathname.startsWith("/ui/")) {
Found 6 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/cli/setup.ts: Line 5: * - codex: writes `openai_base_url` to `~/.codex/config.toml` Line 78: // Codex config.toml updater Line 83: return join(homedir(), ".codex", "config.toml"); Line 87: * Update (or create) the Codex user-level `config.toml` to set /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/cli/agents.ts: Line 130: // environment. Provider routing is done exclusively via config.toml or Line 133: // custom provider with env_http_headers in their config.toml.
Here is the complete analysis of all six areas you asked about:
agents.tsFile: /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/cli/agents.ts
Lines 124-146 — The full Codex agent definition:
{
name: "codex",
displayName: "Codex",
binary: "codex",
detect: () => which("codex"),
envVars: (_url, cwd) => {
// Codex CLI is a Rust binary that does NOT read OPENAI_BASE_URL from the
// environment. Provider routing is done exclusively via config.toml or
// `-c` CLI overrides (see cliArgs below). We still expose LORE_PROJECT /
// LORE_GIT_REMOTE for env_http_headers mapping if the user configures a
// custom provider with env_http_headers in their config.toml.
const env: Record<string, string> = { LORE_PROJECT: cwd };
const remote = safeRemote(cwd);
if (remote) env.LORE_GIT_REMOTE = remote;
return env;
},
cliArgs: (url) => [
// Override the built-in OpenAI provider's base URL to route through the
// Lore gateway. Uses `-c` so the change is per-invocation only — it does
// not affect Codex's persisted config or session scoping.
"-c",
`openai_base_url="${url}/v1"`,
],
},
Key findings:
LORE_PROJECT (set to cwd) and optionally LORE_GIT_REMOTE. Notably, OPENAI_BASE_URL is NOT set (Codex ignores it).DISABLE_AUTO_COMPACT: Unlike Claude Code (line 99), Codex does NOT get DISABLE_AUTO_COMPACT=1. This is significant.-c openai_base_url="${url}/v1". If the gateway is at http://127.0.0.1:3207, Codex gets openai_base_url="http://127.0.0.1:3207/v1".http://127.0.0.1:3207/v1 and will append API paths relative to that.