Skip to content

Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index #1967

Description

@lyc10031

Summary

Maka crashes with "未知错误 / Operation failed" mid-stream whenever a custom OpenAI-compatible connection streams tool calls whose index is not contiguous from 0. Reproduces 100% with an OpenAI-compatible gateway that translates Anthropic streaming to OpenAI chat-completions format.

Environment

  • Maka desktop (Electron, com.maka.desktop)
  • Connection type: "自定义中转站(OpenAI Chat)" (Custom relay, OpenAI Chat-compatible), i.e. /v1/chat/completions
  • Model: claude-opus-4-8 (via gateway)
  • Bundled SDK: @ai-sdk/openai-compatible 3.0.12, ai 7.0.31 (extracted from app.asar)

Reproduction

  1. Configure a custom OpenAI Chat-compatible connection pointing at a gateway that emits streamed tool_calls with non-zero-starting indices (e.g. an Anthropic→OpenAI streaming translator that uses the Anthropic content-block index as the OpenAI tool_calls[].index).
  2. Start an agent-mode conversation so the model emits a text block followed by a tool_use block.
  3. The gateway emits choices[0].delta.tool_calls[0].index = 1 (text block consumed index 0).
  4. Maka's stream errors out with "Operation failed" / "未知错误 / 已保留部分输出".

Root cause

@ai-sdk/openai-compatible 3.0.12's StreamingToolCallTracker (in @ai-sdk/provider-utils):

// processDeltaconstindex=toolCallDelta.index??this.toolCalls.length;if(this.toolCalls[index]==null)this.processNewToolCall(index,toolCallDelta);

It writes tool calls into the array by their reported index (this.toolCalls[1] = ...), leaving slot 0 as an empty hole. Then flush() iterates the array and reads toolCall.hasFinished on every entry — the empty slot is undefined, so it throws:

TypeError: Cannot read properties of undefined (reading 'hasFinished')
at StreamingToolCallTracker.flush (@ai-sdk/provider-utils/dist/index.js:3570)
at Object.flush (@ai-sdk/openai-compatible/dist/index.js:896)

OpenAI's spec says tool-call indices start at 0 and increment by 1, but real-world gateways (Anthropic→OpenAI translators, aggregators, load balancers) do not always guarantee contiguous indices. The tracker should tolerate gaps (skip null/undefined entries in flush, or use optional chaining) — other clients (e.g. opencode's built-in openai-compatible parser) do exactly that and never crash on the same stream.

Impact

Any tool call in agent mode through such a gateway fails the entire turn. Pure-text turns work; models that don't emit tool_use blocks never trigger it.

Expected behavior

Streamed tool calls with non-contiguous or non-zero indices should be handled gracefully (skip empty slots), not crash the whole stream.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions

      , 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
       blocks
      (function() {
      function addCopyButtons() {
      document.querySelectorAll('pre code').forEach(function(codeBlock) {
      if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
      codeBlock.parentElement.setAttribute('data-copy-added', 'true');
      var btn = document.createElement('button');
      btn.textContent = 'Copy';
      btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
      btn.onmouseover = function() { this.style.opacity = '1'; };
      btn.onmouseout = function() { this.style.opacity = '0.7'; };
      btn.onclick = function() {
      navigator.clipboard.writeText(codeBlock.textContent).then(function() {
      btn.textContent = 'Copied!';
      setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
      });
      };
      codeBlock.parentElement.style.position = 'relative';
      codeBlock.parentElement.appendChild(btn);
      });
      }
      addCopyButtons();
      // Re-run on dynamic content
      var observer = new MutationObserver(addCopyButtons);
      observer.observe(document.body, { childList: true, subtree: true });
      })();
      }
      } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
      })();
      (function(){
      try {
      var __m = "github.com";
      var __re = new RegExp('^' + "github\\.com" + '
      Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index · Issue #1967 · apache/maka · GitHub
      Skip to content

      Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index #1967

      Description

      @lyc10031

      Summary

      Maka crashes with "未知错误 / Operation failed" mid-stream whenever a custom OpenAI-compatible connection streams tool calls whose index is not contiguous from 0. Reproduces 100% with an OpenAI-compatible gateway that translates Anthropic streaming to OpenAI chat-completions format.

      Environment

      • Maka desktop (Electron, com.maka.desktop)
      • Connection type: "自定义中转站(OpenAI Chat)" (Custom relay, OpenAI Chat-compatible), i.e. /v1/chat/completions
      • Model: claude-opus-4-8 (via gateway)
      • Bundled SDK: @ai-sdk/openai-compatible 3.0.12, ai 7.0.31 (extracted from app.asar)

      Reproduction

      1. Configure a custom OpenAI Chat-compatible connection pointing at a gateway that emits streamed tool_calls with non-zero-starting indices (e.g. an Anthropic→OpenAI streaming translator that uses the Anthropic content-block index as the OpenAI tool_calls[].index).
      2. Start an agent-mode conversation so the model emits a text block followed by a tool_use block.
      3. The gateway emits choices[0].delta.tool_calls[0].index = 1 (text block consumed index 0).
      4. Maka's stream errors out with "Operation failed" / "未知错误 / 已保留部分输出".

      Root cause

      @ai-sdk/openai-compatible 3.0.12's StreamingToolCallTracker (in @ai-sdk/provider-utils):

      // processDeltaconstindex=toolCallDelta.index??this.toolCalls.length;if(this.toolCalls[index]==null)this.processNewToolCall(index,toolCallDelta);

      It writes tool calls into the array by their reported index (this.toolCalls[1] = ...), leaving slot 0 as an empty hole. Then flush() iterates the array and reads toolCall.hasFinished on every entry — the empty slot is undefined, so it throws:

      TypeError: Cannot read properties of undefined (reading 'hasFinished')
      at StreamingToolCallTracker.flush (@ai-sdk/provider-utils/dist/index.js:3570)
      at Object.flush (@ai-sdk/openai-compatible/dist/index.js:896)
      

      OpenAI's spec says tool-call indices start at 0 and increment by 1, but real-world gateways (Anthropic→OpenAI translators, aggregators, load balancers) do not always guarantee contiguous indices. The tracker should tolerate gaps (skip null/undefined entries in flush, or use optional chaining) — other clients (e.g. opencode's built-in openai-compatible parser) do exactly that and never crash on the same stream.

      Impact

      Any tool call in agent mode through such a gateway fails the entire turn. Pure-text turns work; models that don't emit tool_use blocks never trigger it.

      Expected behavior

      Streamed tool calls with non-contiguous or non-zero indices should be handled gracefully (skip empty slots), not crash the whole stream.

      Metadata

      Metadata

      Assignees

      No one assigned

        Labels

        No labels
        No labels

        Type

        No type

        Projects

        No projects

          Milestone

          No milestone

          Relationships

          None yet

          Development

          No branches or pull requests

          Issue actions

          , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index · Issue #1967 · apache/maka · GitHub
          Skip to content

          Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index #1967

          Description

          @lyc10031

          Summary

          Maka crashes with "未知错误 / Operation failed" mid-stream whenever a custom OpenAI-compatible connection streams tool calls whose index is not contiguous from 0. Reproduces 100% with an OpenAI-compatible gateway that translates Anthropic streaming to OpenAI chat-completions format.

          Environment

          • Maka desktop (Electron, com.maka.desktop)
          • Connection type: "自定义中转站(OpenAI Chat)" (Custom relay, OpenAI Chat-compatible), i.e. /v1/chat/completions
          • Model: claude-opus-4-8 (via gateway)
          • Bundled SDK: @ai-sdk/openai-compatible 3.0.12, ai 7.0.31 (extracted from app.asar)

          Reproduction

          1. Configure a custom OpenAI Chat-compatible connection pointing at a gateway that emits streamed tool_calls with non-zero-starting indices (e.g. an Anthropic→OpenAI streaming translator that uses the Anthropic content-block index as the OpenAI tool_calls[].index).
          2. Start an agent-mode conversation so the model emits a text block followed by a tool_use block.
          3. The gateway emits choices[0].delta.tool_calls[0].index = 1 (text block consumed index 0).
          4. Maka's stream errors out with "Operation failed" / "未知错误 / 已保留部分输出".

          Root cause

          @ai-sdk/openai-compatible 3.0.12's StreamingToolCallTracker (in @ai-sdk/provider-utils):

          // processDeltaconstindex=toolCallDelta.index??this.toolCalls.length;if(this.toolCalls[index]==null)this.processNewToolCall(index,toolCallDelta);

          It writes tool calls into the array by their reported index (this.toolCalls[1] = ...), leaving slot 0 as an empty hole. Then flush() iterates the array and reads toolCall.hasFinished on every entry — the empty slot is undefined, so it throws:

          TypeError: Cannot read properties of undefined (reading 'hasFinished')
          at StreamingToolCallTracker.flush (@ai-sdk/provider-utils/dist/index.js:3570)
          at Object.flush (@ai-sdk/openai-compatible/dist/index.js:896)
          

          OpenAI's spec says tool-call indices start at 0 and increment by 1, but real-world gateways (Anthropic→OpenAI translators, aggregators, load balancers) do not always guarantee contiguous indices. The tracker should tolerate gaps (skip null/undefined entries in flush, or use optional chaining) — other clients (e.g. opencode's built-in openai-compatible parser) do exactly that and never crash on the same stream.

          Impact

          Any tool call in agent mode through such a gateway fails the entire turn. Pure-text turns work; models that don't emit tool_use blocks never trigger it.

          Expected behavior

          Streamed tool calls with non-contiguous or non-zero indices should be handled gracefully (skip empty slots), not crash the whole stream.

          Metadata

          Metadata

          Assignees

          No one assigned

            Labels

            No labels
            No labels

            Type

            No type

            Projects

            No projects

              Milestone

              No milestone

              Relationships

              None yet

              Development

              No branches or pull requests

              Issue actions

              , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index · Issue #1967 · apache/maka · GitHub
              Skip to content

              Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index #1967

              Description

              @lyc10031

              Summary

              Maka crashes with "未知错误 / Operation failed" mid-stream whenever a custom OpenAI-compatible connection streams tool calls whose index is not contiguous from 0. Reproduces 100% with an OpenAI-compatible gateway that translates Anthropic streaming to OpenAI chat-completions format.

              Environment

              • Maka desktop (Electron, com.maka.desktop)
              • Connection type: "自定义中转站(OpenAI Chat)" (Custom relay, OpenAI Chat-compatible), i.e. /v1/chat/completions
              • Model: claude-opus-4-8 (via gateway)
              • Bundled SDK: @ai-sdk/openai-compatible 3.0.12, ai 7.0.31 (extracted from app.asar)

              Reproduction

              1. Configure a custom OpenAI Chat-compatible connection pointing at a gateway that emits streamed tool_calls with non-zero-starting indices (e.g. an Anthropic→OpenAI streaming translator that uses the Anthropic content-block index as the OpenAI tool_calls[].index).
              2. Start an agent-mode conversation so the model emits a text block followed by a tool_use block.
              3. The gateway emits choices[0].delta.tool_calls[0].index = 1 (text block consumed index 0).
              4. Maka's stream errors out with "Operation failed" / "未知错误 / 已保留部分输出".

              Root cause

              @ai-sdk/openai-compatible 3.0.12's StreamingToolCallTracker (in @ai-sdk/provider-utils):

              // processDeltaconstindex=toolCallDelta.index??this.toolCalls.length;if(this.toolCalls[index]==null)this.processNewToolCall(index,toolCallDelta);

              It writes tool calls into the array by their reported index (this.toolCalls[1] = ...), leaving slot 0 as an empty hole. Then flush() iterates the array and reads toolCall.hasFinished on every entry — the empty slot is undefined, so it throws:

              TypeError: Cannot read properties of undefined (reading 'hasFinished')
              at StreamingToolCallTracker.flush (@ai-sdk/provider-utils/dist/index.js:3570)
              at Object.flush (@ai-sdk/openai-compatible/dist/index.js:896)
              

              OpenAI's spec says tool-call indices start at 0 and increment by 1, but real-world gateways (Anthropic→OpenAI translators, aggregators, load balancers) do not always guarantee contiguous indices. The tracker should tolerate gaps (skip null/undefined entries in flush, or use optional chaining) — other clients (e.g. opencode's built-in openai-compatible parser) do exactly that and never crash on the same stream.

              Impact

              Any tool call in agent mode through such a gateway fails the entire turn. Pure-text turns work; models that don't emit tool_use blocks never trigger it.

              Expected behavior

              Streamed tool calls with non-contiguous or non-zero indices should be handled gracefully (skip empty slots), not crash the whole stream.

              Metadata

              Metadata

              Assignees

              No one assigned

                Labels

                No labels
                No labels

                Type

                No type

                Projects

                No projects

                  Milestone

                  No milestone

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions

                  , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index · Issue #1967 · apache/maka · GitHub
                  Skip to content

                  Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index #1967

                  Description

                  @lyc10031

                  Summary

                  Maka crashes with "未知错误 / Operation failed" mid-stream whenever a custom OpenAI-compatible connection streams tool calls whose index is not contiguous from 0. Reproduces 100% with an OpenAI-compatible gateway that translates Anthropic streaming to OpenAI chat-completions format.

                  Environment

                  • Maka desktop (Electron, com.maka.desktop)
                  • Connection type: "自定义中转站(OpenAI Chat)" (Custom relay, OpenAI Chat-compatible), i.e. /v1/chat/completions
                  • Model: claude-opus-4-8 (via gateway)
                  • Bundled SDK: @ai-sdk/openai-compatible 3.0.12, ai 7.0.31 (extracted from app.asar)

                  Reproduction

                  1. Configure a custom OpenAI Chat-compatible connection pointing at a gateway that emits streamed tool_calls with non-zero-starting indices (e.g. an Anthropic→OpenAI streaming translator that uses the Anthropic content-block index as the OpenAI tool_calls[].index).
                  2. Start an agent-mode conversation so the model emits a text block followed by a tool_use block.
                  3. The gateway emits choices[0].delta.tool_calls[0].index = 1 (text block consumed index 0).
                  4. Maka's stream errors out with "Operation failed" / "未知错误 / 已保留部分输出".

                  Root cause

                  @ai-sdk/openai-compatible 3.0.12's StreamingToolCallTracker (in @ai-sdk/provider-utils):

                  // processDeltaconstindex=toolCallDelta.index??this.toolCalls.length;if(this.toolCalls[index]==null)this.processNewToolCall(index,toolCallDelta);

                  It writes tool calls into the array by their reported index (this.toolCalls[1] = ...), leaving slot 0 as an empty hole. Then flush() iterates the array and reads toolCall.hasFinished on every entry — the empty slot is undefined, so it throws:

                  TypeError: Cannot read properties of undefined (reading 'hasFinished')
                  at StreamingToolCallTracker.flush (@ai-sdk/provider-utils/dist/index.js:3570)
                  at Object.flush (@ai-sdk/openai-compatible/dist/index.js:896)
                  

                  OpenAI's spec says tool-call indices start at 0 and increment by 1, but real-world gateways (Anthropic→OpenAI translators, aggregators, load balancers) do not always guarantee contiguous indices. The tracker should tolerate gaps (skip null/undefined entries in flush, or use optional chaining) — other clients (e.g. opencode's built-in openai-compatible parser) do exactly that and never crash on the same stream.

                  Impact

                  Any tool call in agent mode through such a gateway fails the entire turn. Pure-text turns work; models that don't emit tool_use blocks never trigger it.

                  Expected behavior

                  Streamed tool calls with non-contiguous or non-zero indices should be handled gracefully (skip empty slots), not crash the whole stream.

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Labels

                    No labels
                    No labels

                    Type

                    No type

                    Projects

                    No projects

                      Milestone

                      No milestone

                      Relationships

                      None yet

                      Development

                      No branches or pull requests

                      Issue actions

                      , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index · Issue #1967 · apache/maka · GitHub
                      Skip to content

                      Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index #1967

                      Description

                      @lyc10031

                      Summary

                      Maka crashes with "未知错误 / Operation failed" mid-stream whenever a custom OpenAI-compatible connection streams tool calls whose index is not contiguous from 0. Reproduces 100% with an OpenAI-compatible gateway that translates Anthropic streaming to OpenAI chat-completions format.

                      Environment

                      • Maka desktop (Electron, com.maka.desktop)
                      • Connection type: "自定义中转站(OpenAI Chat)" (Custom relay, OpenAI Chat-compatible), i.e. /v1/chat/completions
                      • Model: claude-opus-4-8 (via gateway)
                      • Bundled SDK: @ai-sdk/openai-compatible 3.0.12, ai 7.0.31 (extracted from app.asar)

                      Reproduction

                      1. Configure a custom OpenAI Chat-compatible connection pointing at a gateway that emits streamed tool_calls with non-zero-starting indices (e.g. an Anthropic→OpenAI streaming translator that uses the Anthropic content-block index as the OpenAI tool_calls[].index).
                      2. Start an agent-mode conversation so the model emits a text block followed by a tool_use block.
                      3. The gateway emits choices[0].delta.tool_calls[0].index = 1 (text block consumed index 0).
                      4. Maka's stream errors out with "Operation failed" / "未知错误 / 已保留部分输出".

                      Root cause

                      @ai-sdk/openai-compatible 3.0.12's StreamingToolCallTracker (in @ai-sdk/provider-utils):

                      // processDeltaconstindex=toolCallDelta.index??this.toolCalls.length;if(this.toolCalls[index]==null)this.processNewToolCall(index,toolCallDelta);

                      It writes tool calls into the array by their reported index (this.toolCalls[1] = ...), leaving slot 0 as an empty hole. Then flush() iterates the array and reads toolCall.hasFinished on every entry — the empty slot is undefined, so it throws:

                      TypeError: Cannot read properties of undefined (reading 'hasFinished')
                      at StreamingToolCallTracker.flush (@ai-sdk/provider-utils/dist/index.js:3570)
                      at Object.flush (@ai-sdk/openai-compatible/dist/index.js:896)
                      

                      OpenAI's spec says tool-call indices start at 0 and increment by 1, but real-world gateways (Anthropic→OpenAI translators, aggregators, load balancers) do not always guarantee contiguous indices. The tracker should tolerate gaps (skip null/undefined entries in flush, or use optional chaining) — other clients (e.g. opencode's built-in openai-compatible parser) do exactly that and never crash on the same stream.

                      Impact

                      Any tool call in agent mode through such a gateway fails the entire turn. Pure-text turns work; models that don't emit tool_use blocks never trigger it.

                      Expected behavior

                      Streamed tool calls with non-contiguous or non-zero indices should be handled gracefully (skip empty slots), not crash the whole stream.

                      Metadata

                      Metadata

                      Assignees

                      No one assigned

                        Labels

                        No labels
                        No labels

                        Type

                        No type

                        Projects

                        No projects

                          Milestone

                          No milestone

                          Relationships

                          None yet

                          Development

                          No branches or pull requests

                          Issue actions

                          , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index · Issue #1967 · apache/maka · GitHub
                          Skip to content

                          Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index #1967

                          Description

                          @lyc10031

                          Summary

                          Maka crashes with "未知错误 / Operation failed" mid-stream whenever a custom OpenAI-compatible connection streams tool calls whose index is not contiguous from 0. Reproduces 100% with an OpenAI-compatible gateway that translates Anthropic streaming to OpenAI chat-completions format.

                          Environment

                          • Maka desktop (Electron, com.maka.desktop)
                          • Connection type: "自定义中转站(OpenAI Chat)" (Custom relay, OpenAI Chat-compatible), i.e. /v1/chat/completions
                          • Model: claude-opus-4-8 (via gateway)
                          • Bundled SDK: @ai-sdk/openai-compatible 3.0.12, ai 7.0.31 (extracted from app.asar)

                          Reproduction

                          1. Configure a custom OpenAI Chat-compatible connection pointing at a gateway that emits streamed tool_calls with non-zero-starting indices (e.g. an Anthropic→OpenAI streaming translator that uses the Anthropic content-block index as the OpenAI tool_calls[].index).
                          2. Start an agent-mode conversation so the model emits a text block followed by a tool_use block.
                          3. The gateway emits choices[0].delta.tool_calls[0].index = 1 (text block consumed index 0).
                          4. Maka's stream errors out with "Operation failed" / "未知错误 / 已保留部分输出".

                          Root cause

                          @ai-sdk/openai-compatible 3.0.12's StreamingToolCallTracker (in @ai-sdk/provider-utils):

                          // processDeltaconstindex=toolCallDelta.index??this.toolCalls.length;if(this.toolCalls[index]==null)this.processNewToolCall(index,toolCallDelta);

                          It writes tool calls into the array by their reported index (this.toolCalls[1] = ...), leaving slot 0 as an empty hole. Then flush() iterates the array and reads toolCall.hasFinished on every entry — the empty slot is undefined, so it throws:

                          TypeError: Cannot read properties of undefined (reading 'hasFinished')
                          at StreamingToolCallTracker.flush (@ai-sdk/provider-utils/dist/index.js:3570)
                          at Object.flush (@ai-sdk/openai-compatible/dist/index.js:896)
                          

                          OpenAI's spec says tool-call indices start at 0 and increment by 1, but real-world gateways (Anthropic→OpenAI translators, aggregators, load balancers) do not always guarantee contiguous indices. The tracker should tolerate gaps (skip null/undefined entries in flush, or use optional chaining) — other clients (e.g. opencode's built-in openai-compatible parser) do exactly that and never crash on the same stream.

                          Impact

                          Any tool call in agent mode through such a gateway fails the entire turn. Pure-text turns work; models that don't emit tool_use blocks never trigger it.

                          Expected behavior

                          Streamed tool calls with non-contiguous or non-zero indices should be handled gracefully (skip empty slots), not crash the whole stream.

                          Metadata

                          Metadata

                          Assignees

                          No one assigned

                            Labels

                            No labels
                            No labels

                            Type

                            No type

                            Projects

                            No projects

                              Milestone

                              No milestone

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

                              , 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index · Issue #1967 · apache/maka · GitHub
                              Skip to content

                              Maka crashes with 'Operation failed' when OpenAI-compatible gateway streams tool_calls with non-zero index #1967

                              Description

                              @lyc10031

                              Summary

                              Maka crashes with "未知错误 / Operation failed" mid-stream whenever a custom OpenAI-compatible connection streams tool calls whose index is not contiguous from 0. Reproduces 100% with an OpenAI-compatible gateway that translates Anthropic streaming to OpenAI chat-completions format.

                              Environment

                              • Maka desktop (Electron, com.maka.desktop)
                              • Connection type: "自定义中转站(OpenAI Chat)" (Custom relay, OpenAI Chat-compatible), i.e. /v1/chat/completions
                              • Model: claude-opus-4-8 (via gateway)
                              • Bundled SDK: @ai-sdk/openai-compatible 3.0.12, ai 7.0.31 (extracted from app.asar)

                              Reproduction

                              1. Configure a custom OpenAI Chat-compatible connection pointing at a gateway that emits streamed tool_calls with non-zero-starting indices (e.g. an Anthropic→OpenAI streaming translator that uses the Anthropic content-block index as the OpenAI tool_calls[].index).
                              2. Start an agent-mode conversation so the model emits a text block followed by a tool_use block.
                              3. The gateway emits choices[0].delta.tool_calls[0].index = 1 (text block consumed index 0).
                              4. Maka's stream errors out with "Operation failed" / "未知错误 / 已保留部分输出".

                              Root cause

                              @ai-sdk/openai-compatible 3.0.12's StreamingToolCallTracker (in @ai-sdk/provider-utils):

                              // processDeltaconstindex=toolCallDelta.index??this.toolCalls.length;if(this.toolCalls[index]==null)this.processNewToolCall(index,toolCallDelta);

                              It writes tool calls into the array by their reported index (this.toolCalls[1] = ...), leaving slot 0 as an empty hole. Then flush() iterates the array and reads toolCall.hasFinished on every entry — the empty slot is undefined, so it throws:

                              TypeError: Cannot read properties of undefined (reading 'hasFinished')
                              at StreamingToolCallTracker.flush (@ai-sdk/provider-utils/dist/index.js:3570)
                              at Object.flush (@ai-sdk/openai-compatible/dist/index.js:896)
                              

                              OpenAI's spec says tool-call indices start at 0 and increment by 1, but real-world gateways (Anthropic→OpenAI translators, aggregators, load balancers) do not always guarantee contiguous indices. The tracker should tolerate gaps (skip null/undefined entries in flush, or use optional chaining) — other clients (e.g. opencode's built-in openai-compatible parser) do exactly that and never crash on the same stream.

                              Impact

                              Any tool call in agent mode through such a gateway fails the entire turn. Pure-text turns work; models that don't emit tool_use blocks never trigger it.

                              Expected behavior

                              Streamed tool calls with non-contiguous or non-zero indices should be handled gracefully (skip empty slots), not crash the whole stream.

                              Metadata

                              Metadata

                              Assignees

                              No one assigned

                                Labels

                                No labels
                                No labels

                                Type

                                No type

                                Projects

                                No projects

                                  Milestone

                                  No milestone

                                  Relationships

                                  None yet

                                  Development

                                  No branches or pull requests

                                  Issue actions