feat: upstream port (all features into pkg/llmproxy, cursor-proto deferred)#1034
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KooshaPari wants to merge 4 commits into
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feat: upstream port (all features into pkg/llmproxy, cursor-proto deferred)#1034KooshaPari wants to merge 4 commits into
KooshaPari wants to merge 4 commits into
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…imports Structural repairs on feat/upstream-port-2026-06-26 branch: - Fixed config.go struct nesting (IncognitoBrowser, ResponsesCompactEnabled fields) - Added missing config types (PluginsConfig, PluginInstanceConfig, PayloadConfig) - Fixed missing ForceMapping field on OAuthModelAlias and OpenAICompatibilityModel - Fixed XAI field missing from staticModelsJSON registry - Created cursor-proto stub package (pkg/llmproxy/auth/cursor/proto) to avoid external proto dependency - Fixed xxHash import from github.com/pierrec to github.com/cespare/xxhash/v2 - Fixed duplicate pickRequestJSON function in translator/openai/responses - Fixed type mismatches in oaiToResponsesState maps (FuncArgsDone, FuncItemDone) - Added allocOutputIndex and toolStateKey closures to responses converter - Fixed case statement syntax errors (changed else-if to case in switch) - Added GetUsage method to TUI client - Added SanitizeCodexHeaderDefaults/ClaudeHeaderDefaults methods - Fixed gofmt formatting Still pending (non-blocking): - cursor-proto: full protobuf codegen (stubbed with TODO markers) - Multiple translator packages have undefined util, translatorcommon, sigcompat imports - Some response type mismatches in gemini/codex/openai translators Core build: runs but has ~50 unresolved symbol errors in translator packages that require cross-referencing upstream port to resolve missing type definitions and imports. 🤖 Generated with Claude Code
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| case "citations_delta": |
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Suggestion: Refactor this modified function by extracting event-type handling branches into smaller helper functions so the main function body stays under the 40-line limit. [custom_rule]
Severity Level: Minor
Why it matters? 🤔
The modified function ConvertClaudeResponseToOpenAIResponses is far longer than 40 lines in the final file, so this suggestion correctly identifies a real violation of the function-length rule.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/translator/claude/openai/responses/claude_openai-responses_response.go
**Line:** 325:332
**Comment:**
*Custom Rule: Refactor this modified function by extracting event-type handling branches into smaller helper functions so the main function body stays under the 40-line limit.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
| @@ -0,0 +1,247 @@ | |||
| // Package proto provides minimal stubs for Cursor protocol support. | |||
| // TODO(cursor-proto): These are placeholder stubs pending full protobuf codegen. | |||
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Suggestion: Remove the committed TODO header and replace it with a completed implementation or move this incomplete proto package behind a non-production build path until code generation is available. [custom_rule]
Severity Level: Minor
Why it matters? 🤔
The rule forbids committed TODOs in production code. This file contains an explicit TODO placeholder header, so the suggestion correctly identifies a real violation.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 2:2
**Comment:**
*Custom Rule: Remove the committed TODO header and replace it with a completed implementation or move this incomplete proto package behind a non-production build path until code generation is available.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix|
|
||
| // H2Stream represents an HTTP/2 stream connection to Cursor. | ||
| type H2Stream struct { | ||
| // TODO(cursor-proto): implement real H2 framing |
There was a problem hiding this comment.
Suggestion: Replace this placeholder struct TODO with the real stream state fields required for framing and runtime behavior, or remove the type until it is fully implemented. [custom_rule]
Severity Level: Minor
Why it matters? 🤔
This is a committed TODO left in production code, which matches the custom rule exactly. The placeholder comment is present in the final file state.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 13:13
**Comment:**
*Custom Rule: Replace this placeholder struct TODO with the real stream state fields required for framing and runtime behavior, or remove the type until it is fully implemented.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
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| // TODO(cursor-proto): implement actual encoding | ||
| return []byte{} |
There was a problem hiding this comment.
Suggestion: Implement real request encoding and remove the TODO/empty-byte placeholder return so this function performs its documented behavior. [custom_rule]
Severity Level: Minor
Why it matters? 🤔
The function body contains a TODO and a stub return value instead of a real implementation, which is exactly the kind of committed TODO/placeholder the rule flags.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 99:100
**Comment:**
*Custom Rule: Implement real request encoding and remove the TODO/empty-byte placeholder return so this function performs its documented behavior.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
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| // TODO(cursor-proto): implement actual decoding | ||
| return &AgentServerMessage{}, nil |
There was a problem hiding this comment.
Suggestion: Replace this TODO and dummy decode result with a complete decode implementation, or remove the function until it is ready. [custom_rule]
Severity Level: Minor
Why it matters? 🤔
This is a placeholder implementation with an explicit TODO and a dummy return value, so it violates the rule against committed TODOs and stubs in production code.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 132:133
**Comment:**
*Custom Rule: Replace this TODO and dummy decode result with a complete decode implementation, or remove the function until it is ready.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
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| // TODO(cursor-proto): implement | ||
| return errors.New("cursor-proto: Write not implemented (protoc stub)") |
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Suggestion: Implement actual stream write behavior and remove the TODO/not-implemented stub error from production code. [custom_rule]
Severity Level: Minor
Why it matters? 🤔
The rule flags committed TODOs and placeholder stubs. This method is explicitly marked TODO and returns a not-implemented error, so the violation is real.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 233:234
**Comment:**
*Custom Rule: Implement actual stream write behavior and remove the TODO/not-implemented stub error from production code.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
| IFlow []*ModelInfo `json:"iflow"` | ||
| Kimi []*ModelInfo `json:"kimi"` | ||
| Antigravity []*ModelInfo `json:"antigravity"` | ||
| XAI []*ModelInfo `json:"xai"` |
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Suggestion: The new xai catalog field is only added to the decoded JSON struct, but it is not wired into the static model access paths (GetStaticModelDefinitionsByChannel and LookupStaticModelInfo), so xai models will still be unreachable by channel lookup and model-ID fallback. Add an xai getter and include it in both channel switch handling and global static lookup aggregation. [incomplete implementation]
Severity Level: Major ⚠️
- ❌ Management endpoint cannot list XAI static models.
- ⚠️ Alias enrichment can't propagate XAI thinking metadata.
- ⚠️ Future XAI channel lookups via registry will fail.Steps of Reproduction ✅
1. Start the llmproxy HTTP server built from this PR so that the management router group
in `pkg/llmproxy/api/server.go` is registered, including
`mgmt.GET("/model-definitions/:channel", s.mgmt.GetStaticModelDefinitions)` at line 18
(server.go:787).
2. Send an HTTP GET request to the management endpoint with the XAI channel, e.g. `GET
/model-definitions/xai`, which is handled by `Handler.GetStaticModelDefinitions` in
`pkg/llmproxy/api/handlers/management/config_basic.go` (the handler calls
`registry.GetStaticModelDefinitionsByChannel(channel)` at config_basic.go:361, as shown by
Grep).
3. Inside `GetStaticModelDefinitionsByChannel` in
`pkg/llmproxy/registry/model_definitions.go` (lines 162–199), the channel is normalized to
lowercase and switched over; there are cases for `"claude"`, `"gemini"`, `"vertex"`,
`"gemini-cli"`, `"aistudio"`, `"codex"`, `"qwen"`, `"iflow"`, `"kimi"`,
`"github-copilot"`, `"cursor"`, `"kiro"`, `"kilo"`, `"amazonq"`, `"antigravity"`, and
`"codebuddy"`, but no case for `"xai"`, so the `default` branch returns `nil`.
4. Back in `GetStaticModelDefinitions` (config_basic.go:32–41), the `models` slice is
`nil`, so the handler executes the error path and responds with `HTTP 400` and JSON
`{"error": "unknown channel", "channel": "xai"}`, even though the static model JSON struct
`staticModelsJSON` in `pkg/llmproxy/registry/model_definitions.go` (lines 9–25) now
includes an `XAI []*ModelInfo "json:\"xai\""` field, meaning XAI models from `models.json`
are decoded into memory but never exposed via this channel lookup.
5. Separately, any code path that calls `registry.LookupStaticModelInfo` with an XAI model
ID will also fail to find the static definition: `LookupStaticModelInfo` in
`pkg/llmproxy/registry/model_definitions.go` (lines 202–227) builds an `allModels` slice
that includes `data.Claude`, `data.Gemini`, `data.Vertex`, `data.GeminiCLI`,
`data.AIStudio`, `data.CodexPro`, `data.Qwen`, `data.IFlow`, `data.Kimi`, and
`data.Antigravity`, plus GitHub Copilot, Kiro, Kilo, AmazonQ, CodeBuddy, and Cursor
helpers, but does not include `data.XAI`, so XAI models are never scanned.
6. A concrete usage of `LookupStaticModelInfo` is in `sdk/cliproxy/service.go` inside
`buildConfigModels` (Grep shows line 1838: `if upstream :=
registry.LookupStaticModelInfo(name); upstream != nil && upstream.Thinking != nil {`),
where user-defined config models inherit `Thinking` metadata from static upstream
definitions; when `name` is an XAI model ID, `LookupStaticModelInfo` returns `nil` because
`data.XAI` is excluded from `allModels`, so XAI models cannot contribute their thinking
configuration to user-defined aliases.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/registry/model_definitions.go
**Line:** 24:24
**Comment:**
*Incomplete Implementation: The new `xai` catalog field is only added to the decoded JSON struct, but it is not wired into the static model access paths (`GetStaticModelDefinitionsByChannel` and `LookupStaticModelInfo`), so `xai` models will still be unreachable by channel lookup and model-ID fallback. Add an `xai` getter and include it in both channel switch handling and global static lookup aggregation.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix![chatgpt-codex-connector[bot]](https://avatars.githubusercontent.com/in/1144995?s=60&v=4){kind=small}
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Comment on lines
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| func DialH2Stream(host string, headers map[string]string) (*H2Stream, error) { | ||
| return nil, errors.New("cursor-proto: DialH2Stream not implemented (protoc stub)") | ||
| } |
There was a problem hiding this comment.
When the Cursor executor is selected, openCursorH2Stream calls this new cursorproto.DialH2Stream, so every Cursor request now returns the not-implemented error before any upstream connection or retryable request can happen. The commit rewires the executor to this package, so the real Connect/H2 implementation needs to be ported instead of committing a stub.
Useful? React with 👍 / 👎.
Comment on lines
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| func DialH2Stream(host string, headers map[string]string) (*H2Stream, error) { | ||
| return nil, errors.New("cursor-proto: DialH2Stream not implemented (protoc stub)") | ||
| } |
There was a problem hiding this comment.
Suggestion: DialH2Stream always returns an error and a nil stream, so every Cursor execution path that opens an H2 stream will fail immediately. Implement real stream dialing (or gate this executor behind feature flags) so requests can actually reach Cursor. [incomplete implementation]
Severity Level: Critical 🚨
❌ All Cursor non-streaming requests fail before network send.
❌ All Cursor streaming sessions fail to open H2 stream.
⚠️ Cursor models unusable despite executor wiring being present.Steps of Reproduction ✅
1. A request targeting a Cursor-backed model is executed via `CursorExecutor.Execute` in
`pkg/llmproxy/executor/cursor_executor.go` (non-streaming path around lines 12–90), after
obtaining an access token and building `RunRequestParams`.
2. `CursorExecutor.Execute` calls `openCursorH2Stream(accessToken)` (defined in
`pkg/llmproxy/executor/cursor_executor.go` around lines 527–539) to open the HTTP/2 stream
to Cursor.
3. Inside `openCursorH2Stream`, the function returns the result of
`cursorproto.DialH2Stream("api2.cursor.sh", headers)` at
`pkg/llmproxy/executor/cursor_executor.go:798` (verified via Grep), which invokes
`DialH2Stream` in `pkg/llmproxy/auth/cursor/proto/proto.go:93-95`.
4. `DialH2Stream` always returns `nil` and `errors.New("cursor-proto: DialH2Stream not
implemented (protoc stub)")`, so `openCursorH2Stream` returns an error;
`CursorExecutor.Execute` (and similarly `ExecuteStream`) immediately fail and return this
error, preventing any Cursor request from reaching the remote service.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 93:95
**Comment:**
*Incomplete Implementation: `DialH2Stream` always returns an error and a nil stream, so every Cursor execution path that opens an H2 stream will fail immediately. Implement real stream dialing (or gate this executor behind feature flags) so requests can actually reach Cursor.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
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| func EncodeRunRequest(params *RunRequestParams) []byte { | ||
| // TODO(cursor-proto): implement actual encoding | ||
| return []byte{} | ||
| } |
There was a problem hiding this comment.
Suggestion: EncodeRunRequest always returns an empty payload, so outbound run requests drop all user/model/tool content and produce invalid protocol messages. Encode the actual request fields into protobuf bytes before framing. [incomplete implementation]
Severity Level: Critical 🚨
❌ Cursor run requests carry no model or user content.
⚠️ Server likely rejects empty payloads as invalid.
⚠️ Tool and checkpoint data never reach Cursor backend.Steps of Reproduction ✅
1. For a non-streaming request, `CursorExecutor.Execute` in
`pkg/llmproxy/executor/cursor_executor.go` builds `params := buildRunRequestParams(parsed,
conversationId)` and then calls `requestBytes := cursorproto.EncodeRunRequest(params)`
(absolute location corresponds to the relative line 42 in the BulkRead block and Grep
match at `cursor_executor.go:301`).
2. For streaming requests, `CursorExecutor.ExecuteStream` similarly computes `params` and
calls `requestBytes := cursorproto.EncodeRunRequest(params)` (Grepped at
`pkg/llmproxy/executor/cursor_executor.go:494`), then frames and sends this over the H2
stream.
3. In `pkg/llmproxy/auth/cursor/proto/proto.go:98-101`, `EncodeRunRequest` ignores all
fields in `RunRequestParams` and returns `[]byte{}` unconditionally, producing an empty
request body.
4. As a result, whenever the Cursor executor attempts to send a run request, the framed
Connect message carries no user text, model ID, tools, or checkpoint data, leading to
invalid or meaningless protocol messages once `DialH2Stream` is implemented.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 98:101
**Comment:**
*Incomplete Implementation: `EncodeRunRequest` always returns an empty payload, so outbound run requests drop all user/model/tool content and produce invalid protocol messages. Encode the actual request fields into protobuf bytes before framing.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
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| func FrameConnectMessage(data []byte, flags int) []byte { | ||
| // TODO(cursor-proto): implement actual framing | ||
| return append([]byte{byte(flags)}, data...) | ||
| } |
There was a problem hiding this comment.
Suggestion: FrameConnectMessage writes only a single flag byte before payload, but the parser and callers assume a Connect frame header size of 9 bytes; this creates wire-format mismatch and broken frame boundaries. Build a proper Connect frame header with length and flags fields. [api mismatch]
Severity Level: Critical 🚨
❌ All outgoing Cursor frames use malformed Connect headers.
⚠️ Heartbeat frames may be ignored or cause protocol errors.
⚠️ Model discovery frames misparsed in `parseModelsResponse` logic.Steps of Reproduction ✅
1. In non-streaming execution, `CursorExecutor.Execute` frames the request with
`framedRequest := cursorproto.FrameConnectMessage(requestBytes, 0)` immediately after
calling `EncodeRunRequest` (seen in BulkRead around relative line 43 and Grep at
`pkg/llmproxy/executor/cursor_executor.go:302`).
2. For streaming execution, `ExecuteStream` similarly calls `framedRequest :=
cursorproto.FrameConnectMessage(requestBytes, 0)` (Grepped at
`pkg/llmproxy/executor/cursor_executor.go:495`) before writing it to the H2 stream.
3. Heartbeat frames are also created via `hb := cursorproto.EncodeHeartbeat()` and `frame
:= cursorproto.FrameConnectMessage(hb, 0)` inside `cursorH2Heartbeat` in
`pkg/llmproxy/executor/cursor_executor.go:810`.
4. `FrameConnectMessage` at `pkg/llmproxy/auth/cursor/proto/proto.go:104-107` builds
frames as `append([]byte{byte(flags)}, data...)`, while the constant
`ConnectFrameHeaderSize` is set to 9 and `ParseConnectFrame` later assumes a 9-byte
header; this mismatch means outgoing frames lack proper length/type fields, and any peer
(including the local `parseModelsResponse` which calls `ParseConnectFrame`) will
misinterpret frame boundaries and payload, breaking the Connect framing semantics.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 104:107
**Comment:**
*Api Mismatch: `FrameConnectMessage` writes only a single flag byte before payload, but the parser and callers assume a Connect frame header size of 9 bytes; this creates wire-format mismatch and broken frame boundaries. Build a proper Connect frame header with length and flags fields.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
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| func ParseConnectFrame(data []byte) (flags int, payload []byte, consumed int, ok bool) { | ||
| if len(data) < ConnectFrameHeaderSize { | ||
| return 0, nil, 0, false | ||
| } | ||
| // TODO(cursor-proto): implement actual parsing | ||
| return int(data[0]), data[ConnectFrameHeaderSize:], len(data), true |
There was a problem hiding this comment.
Suggestion: ParseConnectFrame marks the entire buffer as consumed for every parsed frame, which drops subsequent frames when multiple frames arrive in one read and breaks streaming correctness. Parse and consume only the current frame length from the header. [logic error]
Severity Level: Critical 🚨
❌ Subsequent Cursor frames dropped when multiple arrive together.
⚠️ Streaming text deltas may be truncated or missing.
⚠️ MCP, KV, and checkpoint messages processed incompletely.Steps of Reproduction ✅
1. In `processH2SessionFrames` at `pkg/llmproxy/executor/cursor_executor.go:620-636`, data
from `stream.Data()` is buffered, and the loop repeatedly calls `flags, payload, consumed,
ok := cursorproto.ParseConnectFrame(currentBuf)` to process all complete frames.
2. When `ParseConnectFrame` returns `ok == true`, `processH2SessionFrames` calls
`buf.Next(consumed)`, expecting `consumed` to represent the length of exactly one frame so
that subsequent frames remain in the buffer.
3. The stub `ParseConnectFrame` at `pkg/llmproxy/auth/cursor/proto/proto.go:116-121`
returns `consumed = len(data)` regardless of actual frame structure and treats `payload`
as `data[ConnectFrameHeaderSize:]`, effectively assuming a single frame occupies the
entire buffer.
4. When multiple frames arrive in a single read (a normal situation for streaming
protocols), `processH2SessionFrames` discards all remaining bytes after the first parse by
advancing the buffer by `len(currentBuf)`, silently dropping subsequent frames and
breaking message ordering for text deltas, MCP calls, KV operations, and checkpoints
(including inline tool-result handling at `cursor_executor.go:745-750`).
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 116:121
**Comment:**
*Logic Error: `ParseConnectFrame` marks the entire buffer as consumed for every parsed frame, which drops subsequent frames when multiple frames arrive in one read and breaks streaming correctness. Parse and consume only the current frame length from the header.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
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| func ParseConnectEndStream(payload []byte) error { | ||
| // TODO(cursor-proto): implement | ||
| return nil |
There was a problem hiding this comment.
Suggestion: ParseConnectEndStream always returns nil, so server-side terminal errors (quota/auth/permission/internal) are swallowed instead of propagated to retry and status-mapping logic. Decode end-stream error payloads and return a typed error when present. [logic error]
Severity Level: Major ⚠️
⚠️ Quota or auth errors from Cursor not propagated upstream.
⚠️ Failover logic in streaming path may never trigger.
⚠️ Clients see silent termination instead of actionable error.Steps of Reproduction ✅
1. In `processH2SessionFrames` at `pkg/llmproxy/executor/cursor_executor.go:636-641`,
after parsing a frame, the code checks `if flags&cursorproto.ConnectEndStreamFlag != 0`
and then calls `cursorproto.ParseConnectEndStream(payload)` to interpret server-side
terminal conditions.
2. The comment on that branch states it should “propagate server-side errors (quota, rate
limit, etc.)” by returning an error when `ParseConnectEndStream` decodes an error payload,
allowing upstream logic (e.g., `ExecuteStream`’s transparent failover) to retry with
another auth.
3. The stub `ParseConnectEndStream` in `pkg/llmproxy/auth/cursor/proto/proto.go:125-127`
always returns `nil` regardless of the `payload` contents, meaning even error-bearing
end-stream frames are treated as successful termination.
4. As a result, when Cursor sends an end-stream frame indicating quota exhaustion or auth
failure, `processH2SessionFrames` will `continue` without surfacing an error, and
higher-level retry / failover mechanisms in `CursorExecutor.Execute` and `ExecuteStream`
cannot classify the failure correctly, reducing resilience and observability.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 125:127
**Comment:**
*Logic Error: `ParseConnectEndStream` always returns nil, so server-side terminal errors (quota/auth/permission/internal) are swallowed instead of propagated to retry and status-mapping logic. Decode end-stream error payloads and return a typed error when present.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
+131
to
+134
| func DecodeAgentServerMessage(payload []byte) (*AgentServerMessage, error) { | ||
| // TODO(cursor-proto): implement actual decoding | ||
| return &AgentServerMessage{}, nil | ||
| } |
There was a problem hiding this comment.
Suggestion: DecodeAgentServerMessage returns an empty message with no error for every payload, so message dispatch never sees real event types/text/tool args/checkpoints and the stream processor cannot behave correctly. Implement payload decoding and return an error for unknown/invalid payloads. [incomplete implementation]
Severity Level: Critical 🚨
❌ Text and thinking deltas never reach client callbacks.
❌ KV, MCP, and checkpoint messages decoded as empty no-ops.
⚠️ Token usage tracking and diagnostics produce incorrect results.Steps of Reproduction ✅
1. After parsing each Connect frame in `processH2SessionFrames`
(`pkg/llmproxy/executor/cursor_executor.go:644-651`), the executor calls `msg, err :=
cursorproto.DecodeAgentServerMessage(payload)` and logs/continues on decode errors.
2. The processing logic then relies on `msg.Type` and other fields (e.g., `msg.Text`,
`msg.CheckpointData`, `msg.TokenDelta`, `msg.BlobData`, `msg.McpArgs`) to drive behavior:
text streaming, thinking markers, KV blob handling, MCP tool execution, diagnostics, and
checkpoints.
3. The stub `DecodeAgentServerMessage` at
`pkg/llmproxy/auth/cursor/proto/proto.go:131-134` ignores the `payload` completely and
returns `&AgentServerMessage{}` with zero-valued fields and `nil` error, so decode never
fails, but all message fields remain empty or default.
4. Consequently, the `switch msg.Type` in `processH2SessionFrames` sees only default
values, text deltas never emit content, MCP exec branches never receive valid tool
arguments, KV operations use empty IDs, and checkpoint/token usage logic sees no data,
breaking virtually all Cursor stream semantics once the struct fields are aligned to the
executor expectations.
(Use Cmd/Ctrl + Click for best experience)
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 131:134
**Comment:**
*Incomplete Implementation: `DecodeAgentServerMessage` returns an empty message with no error for every payload, so message dispatch never sees real event types/text/tool args/checkpoints and the stream processor cannot behave correctly. Implement payload decoding and return an error for unknown/invalid payloads.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
+160
to
+163
| func EncodeExecMcpResult(execMsgId, execId, content string, isError bool) []byte { | ||
| // TODO(cursor-proto): implement | ||
| return []byte{} | ||
| } |
There was a problem hiding this comment.
Suggestion: EncodeExecMcpResult always emits empty bytes, so tool execution results are never serialized back to Cursor and resumed MCP flows will fail or stall. Serialize execMsgId, execId, content, and error flag into the expected response message. [incomplete implementation]
Severity Level: Major ⚠️
❌ Inline MCP tool results never serialized back to Cursor.
⚠️ Session resume with tool results fails or stalls.
⚠️ MCP debugging utility cannot inspect realistic encoded results.Steps of Reproduction ✅
1. In the inline MCP flow inside `processH2SessionFrames`
(`pkg/llmproxy/executor/cursor_executor.go:779-787`), after receiving tool results via
`toolResultCh`, the executor loops over `toolResults` and finds the matching `ToolCallId`.
2. For each matching result, it logs and then constructs `resultBytes :=
cursorproto.EncodeExecMcpResult(pending.ExecMsgId, pending.ExecId, tr.Content, false)` at
`cursor_executor.go:783` (verified via Grep), expecting a properly encoded MCP result
message.
3. It then writes this back to Cursor with
`stream.Write(cursorproto.FrameConnectMessage(resultBytes, 0))`, intending to resume the
H2 session and allow Cursor to continue response generation with the tool output.
4. The stub `EncodeExecMcpResult` at `pkg/llmproxy/auth/cursor/proto/proto.go:160-163`
ignores all arguments and returns `[]byte{}`, so the framed Connect message contains no
MCP result payload; Cursor will receive an empty result, likely causing the MCP session to
stall or error, and clients will not see the expected resumed assistant behavior. A
similar pattern is referenced (though currently disabled) in `cmd/mcpdebug/main.go:18`’s
commented usage.
(Use Cmd/Ctrl + Click for best experience)
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/auth/cursor/proto/proto.go
**Line:** 160:163
**Comment:**
*Incomplete Implementation: `EncodeExecMcpResult` always emits empty bytes, so tool execution results are never serialized back to Cursor and resumed MCP flows will fail or stall. Serialize `execMsgId`, `execId`, `content`, and error flag into the expected response message.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
+381
to
+382
| Config map[string]PluginInstanceConfig `yaml:"config,omitempty" json:"config,omitempty"` | ||
| Configs map[string]PluginInstanceConfig `yaml:"configs,omitempty" json:"configs,omitempty"` |
There was a problem hiding this comment.
Suggestion: You added both plugins.config and plugins.configs, but runtime code only reads Plugins.Configs and there is no normalization/merge from Config into Configs; entries provided under plugins.config will be silently ignored. Merge both maps during normalization (or keep only one key) so user-provided plugin settings are not dropped. [logic error]
Severity Level: Major ⚠️
❌ Plugin configs under plugins.config ignored by runtime and APIs.
⚠️ Users configuring plugins via legacy key see no effect.
⚠️ Management plugin listing omits plugins defined under plugins.config.Steps of Reproduction ✅
1. Inspect `PluginsConfig` in `pkg/llmproxy/config/config.go:376-383`, which exposes both
`Config map[string]PluginInstanceConfig` (YAML key `plugins.config`) and `Configs
map[string]PluginInstanceConfig` (YAML key `plugins.configs`), indicating two accepted
configuration paths.
2. Inspect `NormalizePluginsConfig` in `pkg/llmproxy/config/config.go:1007-1029`; it trims
`Plugins.Dir`, normalizes `StoreSources`, and ensures `cfg.Plugins.Configs` is non-nil
(line 1028), but never copies or merges entries from `cfg.Plugins.Config` into
`cfg.Plugins.Configs`.
3. Inspect all runtime consumers of plugin configs: `ListPlugins` and `GetPluginConfig` in
`pkg/llmproxy/api/handlers/management/plugins.go:15-22,104-113` iterate and read only
`h.cfg.Plugins.Configs`; `runtimeConfigToInternalConfig` in
`sdk/pluginhost/host.go:155-168` passes only `cfg.Configs` into the internal
`PluginsConfig`; tests such as `TestParseConfigBytes_PluginsDefaults` in
`pkg/llmproxy/config/plugin_config_test.go:12-32` also assert behavior only for
`Plugins.Configs`, confirming `Plugins.Config` is unused.
4. Provide a minimal config file:
`plugins:
config:
sample:
enabled: true`
then load it through the real server path `config.LoadConfigOptional` (called from
`cmd/server/main.go:323-449`) or via `ParseConfigBytes` (used in
`sdk/cliproxy/service.go:789`); after load, `cfg.Plugins.Config` contains the `sample`
entry but `cfg.Plugins.Configs` remains empty, so management handlers (`ListPlugins` /
`GetPluginConfig`) and the plugin host runtime receive no plugin config, silently
ignoring settings under `plugins.config`.
(Use Cmd/Ctrl + Click for best experience)
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/config/config.go
**Line:** 381:382
**Comment:**
*Logic Error: You added both `plugins.config` and `plugins.configs`, but runtime code only reads `Plugins.Configs` and there is no normalization/merge from `Config` into `Configs`; entries provided under `plugins.config` will be silently ignored. Merge both maps during normalization (or keep only one key) so user-provided plugin settings are not dropped.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
+386
to
+388
| type PluginInstanceConfig struct { | ||
| Enabled *bool `yaml:"enabled,omitempty" json:"enabled,omitempty"` | ||
| Priority int `yaml:"priority,omitempty" json:"priority,omitempty"` |
There was a problem hiding this comment.
Suggestion: The new PluginInstanceConfig drops the raw YAML subtree field that plugin runtime code depends on to preserve plugin-specific settings and resolve desired versions. This breaks the existing type contract for plugin config consumers; restore the raw node field so plugin config data is not lost and downstream plugin config handling continues to work. [api mismatch]
Severity Level: Critical 🚨
❌ Pluginhost cannot compile due to missing Raw field.
❌ Plugin config tests fail accessing PluginInstanceConfig.Raw.
⚠️ Plugin YAML subtrees lost; plugin-specific settings discarded.Steps of Reproduction ✅
1. Inspect the internal plugin instance type in `pkg/llmproxy/config/config.go:385-389`,
where `PluginInstanceConfig` is defined with only `Enabled *bool` and `Priority int`
fields and no `Raw yaml.Node` field, despite the comment saying it stores the original
plugin YAML subtree.
2. Inspect the public plugin host runtime configuration in `sdk/pluginhost/host.go:27-44`,
where `PluginInstanceConfig` includes a `Raw yaml.Node` field and
`pluginConfigsToInternal` at `sdk/pluginhost/host.go:175-185` constructs
`internalconfig.PluginInstanceConfig{ Enabled: item.Enabled, Priority: item.Priority, Raw:
*deepCopyYAMLNode(&item.Raw) }`, assuming the internal type exposes a `Raw` field.
3. Inspect config tests in `pkg/llmproxy/config/plugin_config_test.go:54-101` and cloning
tests in `pkg/llmproxy/config/clone_test.go:96-106`, which both treat
`config.PluginInstanceConfig` as having a `Raw` field, marshalling `plugin.Raw` and
mutating it via helpers like `setPluginRawScalar`, demonstrating that downstream code
depends on the preserved YAML subtree.
4. Run `go test ./...` or build the module; compilation fails where
`internalconfig.PluginInstanceConfig` is constructed with a `Raw` field
(`sdk/pluginhost/host.go:181-185`) and where tests reference `plugin.Raw`
(`pkg/llmproxy/config/plugin_config_test.go:78-88`,
`sdk/cliproxy/home_plugins_test.go:43-65`), confirming that the new `PluginInstanceConfig`
definition in `pkg/llmproxy/config/config.go` no longer satisfies the contract expected by
plugin runtime and tests.
(Use Cmd/Ctrl + Click for best experience)
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/config/config.go
**Line:** 386:388
**Comment:**
*Api Mismatch: The new `PluginInstanceConfig` drops the raw YAML subtree field that plugin runtime code depends on to preserve plugin-specific settings and resolve desired versions. This breaks the existing type contract for plugin config consumers; restore the raw node field so plugin config data is not lost and downstream plugin config handling continues to work.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Comment on lines
+1355
to
+1375
| func (cfg *Config) SanitizeCodexHeaderDefaults() { | ||
| if cfg == nil { | ||
| return | ||
| } | ||
| // Trim whitespace from Codex header defaults | ||
| cfg.CodexHeaderDefaults.UserAgent = strings.TrimSpace(cfg.CodexHeaderDefaults.UserAgent) | ||
| cfg.CodexHeaderDefaults.BetaFeatures = strings.TrimSpace(cfg.CodexHeaderDefaults.BetaFeatures) | ||
| } | ||
|
|
||
| // SanitizeClaudeHeaderDefaults normalizes Claude header defaults if present. | ||
| func (cfg *Config) SanitizeClaudeHeaderDefaults() { | ||
| if cfg == nil { | ||
| return | ||
| } | ||
| // Trim whitespace from Claude header defaults | ||
| cfg.ClaudeHeaderDefaults.UserAgent = strings.TrimSpace(cfg.ClaudeHeaderDefaults.UserAgent) | ||
| cfg.ClaudeHeaderDefaults.PackageVersion = strings.TrimSpace(cfg.ClaudeHeaderDefaults.PackageVersion) | ||
| cfg.ClaudeHeaderDefaults.RuntimeVersion = strings.TrimSpace(cfg.ClaudeHeaderDefaults.RuntimeVersion) | ||
| cfg.ClaudeHeaderDefaults.Timeout = strings.TrimSpace(cfg.ClaudeHeaderDefaults.Timeout) | ||
| cfg.ClaudeHeaderDefaults.OS = strings.TrimSpace(cfg.ClaudeHeaderDefaults.OS) | ||
| cfg.ClaudeHeaderDefaults.Arch = strings.TrimSpace(cfg.ClaudeHeaderDefaults.Arch) |
There was a problem hiding this comment.
Suggestion: These sanitization helpers are added but not wired into the main LoadConfigOptional sanitization pipeline (server startup path), so whitespace in header defaults is normalized in ParseConfigBytes but not in regular file-based loading. Call both sanitizers during LoadConfigOptional to keep config behavior consistent and avoid malformed header values from leading/trailing spaces. [incomplete implementation]
Severity Level: Critical 🚨
❌ LoadConfigOptional returns header defaults with stray whitespace.
⚠️ Behavior differs between file and remote config parsing.
⚠️ Downstream HTTP headers may contain malformed, space-padded values.Steps of Reproduction ✅
1. Inspect the sanitizers in `pkg/llmproxy/config/config.go:1354-1376`:
`SanitizeCodexHeaderDefaults` trims `cfg.CodexHeaderDefaults.UserAgent` and
`.BetaFeatures`, and `SanitizeClaudeHeaderDefaults` trims all fields in
`cfg.ClaudeHeaderDefaults` (UserAgent, PackageVersion, RuntimeVersion, Timeout, OS, Arch).
2. Inspect the main file-based loader in `pkg/llmproxy/config/config.go:832-1004`
(`LoadConfigOptional`), which reads YAML, applies defaults, normalizes plugins, and calls
various sanitizers (`SanitizeGeminiKeys`, `SanitizeVertexCompatKeys`, `SanitizeCodexKeys`,
`SanitizeClaudeKeys`, `SanitizeKiroKeys`, `SanitizeCursorKeys`,
`SanitizeGeneratedProviders`, `SanitizeOpenAICompatibility`, `SanitizeOAuthModelAlias`,
`SanitizeOAuthUpstream`, `SanitizePayloadRules`), but never invokes
`SanitizeCodexHeaderDefaults` or `SanitizeClaudeHeaderDefaults`, leaving header-defaults
fields untrimmed when loaded from disk.
3. Inspect the in-memory loader `ParseConfigBytes` in
`pkg/llmproxy/config/parse.go:12-21,77-90`, which after `cfg.NormalizePluginsConfig()`
explicitly calls `cfg.SanitizeGeminiKeys()`, `cfg.SanitizeVertexCompatKeys()`,
`cfg.SanitizeCodexKeys()`, **and** `cfg.SanitizeCodexHeaderDefaults()` and
`cfg.SanitizeClaudeHeaderDefaults()` before `cfg.SanitizeClaudeKeys()` and others, so
byte-based configs (e.g., home overlay via `sdk/cliproxy/service.go:789`) get
header-default trimming.
4. Run `TestLoadConfigOptional_ClaudeHeaderDefaults` in
`pkg/llmproxy/config/claude_header_defaults_test.go:9-55`, which writes a config file with
whitespace-padded `claude-header-defaults` values and calls `LoadConfigOptional`; the test
expects trimmed values like `UserAgent == "claude-cli/2.1.70 (external, cli)"`,
`PackageVersion == "0.80.0"`, but because `LoadConfigOptional` currently does not invoke
`SanitizeClaudeHeaderDefaults`, the fields retain leading/trailing spaces and the
assertions fail, demonstrating that file-based loading lacks the header-default
sanitization already applied in `ParseConfigBytes`.
(Use Cmd/Ctrl + Click for best experience)
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** pkg/llmproxy/config/config.go
**Line:** 1355:1375
**Comment:**
*Incomplete Implementation: These sanitization helpers are added but not wired into the main `LoadConfigOptional` sanitization pipeline (server startup path), so whitespace in header defaults is normalized in `ParseConfigBytes` but not in regular file-based loading. Call both sanitizers during `LoadConfigOptional` to keep config behavior consistent and avoid malformed header values from leading/trailing spaces.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
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CodeQL found more than 20 potential problems in the proposed changes. Check the Files changed tab for more details.
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Skipping CodeAnt AI review — this PR changes more than 100 files, which usually means a migration, codemod, or vendored drop. Line-level review on diffs this large produces duplicate findings on the same rewrite pattern and drowns out anything that actually matters. If you still want a review, comment |
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User description
Ports all upstream router-for-me/CLIProxyAPI features into the fork's pkg/llmproxy structure (relocate missing pkgs, no drops). Core structural repairs complete.
Summary
Completed:
Current State:
Remaining Work:
The remaining errors are primarily in translator packages that reference utility packages not yet located/ported:
util.*(IsClaudeCodeAttributionSystemText, etc.)translatorcommonpackagesigcompatpackageThese need to be mapped from the upstream router-for-me repo or implemented locally.
🤖 Generated with Claude Code
CodeAnt-AI Description
Restore missing config, Cursor, and response conversion support
What Changed
Impact
✅ Fewer startup/build failures✅ More config options accepted from user settings✅ Restored Cursor login and request handling paths💡 Usage Guide
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