## Summary
Adds ownership/access checks before updating or deleting documents,
setting document metadata, and reading file contents from storage. Also
adds tests for authorized and unauthorized access paths.
### Summary
```
/api/v1/chats/<chat_id>/sessions/<session_id>/messages/<msg_id> DELETE
/api/v1/chats/<chat_id>/sessions/<session_id>/messages/<msg_id>/feedback PUT
```
Migrates the chat session message delete and feedback APIs to the Go
server, matching the Python behavior for authorization, session
ownership checks, message/reference updates, and feedback validation.
### Summary
As title
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Bug Fix (non-breaking change which fixes an issue)
### Summary
```
/api/v1/chats/<chat_id>/sessions/<session_id>/messages/<msg_id> DELETE
/api/v1/chats/<chat_id>/sessions/<session_id>/messages/<msg_id>/feedback PUT
```
Migrates the chat session message delete and feedback APIs to the Go
server, matching the Python behavior for authorization, session
ownership checks, message/reference updates, and feedback validation.
### Testing
- `/usr/local/go/bin/go test ./internal/service ./internal/handler`
- Verified through the frontend page for deleting chat messages and
updating message feedback
### What problem does this PR solve?
As title
main fix:
```go
if _, ok := req["meta_data_filter"]; !ok || req["meta_data_filter"] == nil {
req["meta_data_filter"] = map[string]interface{}{}
}
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
### What problem does this PR solve?
Implement OpenAI chat completions in GO
POST /api/v1/openai/<chat_id>/chat/completions
OpenAI chat cli: internal/development.md
### Type of change
- [x] Refactoring
## Summary
- Add knowledge-base retrieval support to Go chat completions.
## What changed
- Routes KB-backed chat sessions through the Go retrieval service
instead of falling back to solo chat.
- Resolves embedding and rerank models, validates accessible knowledge
bases, and preserves tenant-aware retrieval.
- Rejects mixed embedding models across selected knowledge bases before
retrieval to avoid incompatible vector dimensions.
- Threads the HTTP request context into streaming retrieval so cancelled
requests can stop downstream retrieval work.
- Applies metadata filters and message-level `doc_ids` before retrieval.
- Expands parent/child chunks before building references and prompt
context.
- Injects retrieved knowledge through a copied dialog prompt config so
the caller's original dialog is not mutated.
- Honors configured empty responses when no chunks are found.
- Names the metadata no-match sentinel and reuses it across
retrieval/handler paths.
- Adds a defensive content cast while appending streamed answers.
- Adds focused unit coverage for retrieval, metadata filtering,
authorization, multimodal messages, references, empty-response behavior,
prompt immutability, and mixed embedding models.
---------
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
