StreamProcessor starts the trace and mints the request id before the
agent is built, so pre-fetch retrieval and compression are inside it and
side-channel LLM calls share the id. complete_stream activates it in the
SSE pump thread, binds the message and conversation, and writes it once
however the stream ends: paused, failed, abandoned or superseded (dropped).
user_logs rows now carry request_id and message_id.
A one-shot graph ranking diffuses over the whole neighbourhood; a question
whose answer sits two hops away is better served by following the edges. The
graph_search tool gives an agent search_entities, get_relationships and
read_entity_pages over its graph sources. On a multi-hop corpus where the
bridging entity is never named, answers went from 0/10 with classic vector
retrieval to 10/10 with the tool, end to end through /stream.
The tool has no setting of its own. It is offered exactly where the agent can
already search: agentic and research agents always, a classic agent only for
sources exposed as a search tool. A graph source left at prefetch is used for
ranking only.
Tests now pin GRAPHRAG_ENABLED to its shipped default, as CI has: with a dev
.env enabling it, every agent test's graph check read the developer's real
database and left a pool to it behind.
The backend import package is now docsgpt, the name it will carry on PyPI;
application was far too generic to install into anyone's site-packages.
git mv plus a mechanical rewrite of every import, dotted string and path
reference: 734 Python files, the compose files, Dockerfile, workflows, docs,
setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage
config, .gitignore. Behaviour is unchanged.
Kept for one release:
- A top-level application package whose meta-path finder resolves
application.x.y to the already-imported docsgpt.x.y object, so old imports
and entry points (celery -A application.app.celery,
uvicorn application.asgi:asgi_app) keep working with a FutureWarning.
- Celery registers every application.* task name as an alias of its
docsgpt.* task on start-up, so messages queued by the previous release still
run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries
the previous release wrote are left unread instead of firing twice.
The backend image builds from the repository root (docker build -f
docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore
allow-lists docsgpt/ and application/ and keeps caches, local data, .env
files, the sample index files and the Dockerfile out. Compose and the image
workflows point at the new context.
The API embeds every query it serves, so it held its own copy of the model:
~890 MB it never needed. EMBEDDINGS_DELEGATE_TO_WORKER (on by default) sends
the text to the Celery worker instead and gets the vector back, taking an API
process from 1176 MB to 285 MB with no ONNX Runtime imported at all. The client
embeds locally when it finds itself inside a worker task, so the worker never
dispatches to itself -- the same self-deadlock DOCUMENT_PARSE_QUEUE avoids on
the parsing side. EMBEDDINGS_BASE_URL still wins over it, and remains the right
answer for production.
ensure_vector_schema was constructing the embeddings instance purely to read
.dimension off it, loading several hundred MB of ONNX into every API and worker
process at import. For a model the registry describes that is a lookup; only an
unregistered name now falls back to loading.
EMBEDDINGS_BATCH_SIZE was sizing two unrelated things: chunks per store
transaction (and per remote embed request) and documents per ONNX forward pass.
Each pass pads every input up to its longest, and that waste grows with the
square of chunk length, so at the 1250-token default a batch of 32 peaked at
6.6 GB and took 326s where a batch of 1 peaked at 2.9 GB and took 90s. The
forward pass is now sized by EMBEDDINGS_MODEL_BATCH_SIZE, defaulting to 1;
storage and remote batching are unchanged at 32.
reembed embeds in-process: a batch job that walks the whole index should not
round-trip every chunk through a broker, and loading the model there reports a
real failure instead of timing out against an empty queue.
Also drops the mpnet zip download from the docs and the devcontainer, which
pointed at a SentenceTransformers export with no ONNX graph and had been inert
since the FastEmbed swap; corrects the claim that any sentence-transformers
model works; and settles the Configuring/Settings pages on what the registry
and the repository metadata actually decide.
* feat: SSE notification system
Adds a per-user SSE pipe (GET /api/events) plus a per-message
chat-stream reconnect endpoint (GET /api/messages/<id>/events).
Backend substrate:
- application/events/ — durable journal (Redis Streams) + live
pub/sub for user-scoped events, with publish_user_event() as
the worker-side entrypoint.
- application/streaming/ — broadcast_channel for pub/sub fanout
and event_replay for the per-message snapshot+tail path.
- application/storage/db/repositories/message_events.py +
alembic 0007 — Postgres journal for chat-stream events.
- application/worker.py — ingest/reingest/remote/connector/
attachment/mcp_oauth tasks publish queued/progress/completed/
failed envelopes alongside their existing status updates.
Frontend client:
- frontend/src/events/ — connect/reconnect, Last-Event-ID cursor,
backoff with jitter. Each tab runs its own connection; no
cross-tab dedup (future work).
- frontend/src/notifications/ — recentEvents ring, cursor
tracking, tool-approval toast.
- frontend/src/upload/uploadSlice.ts — extraReducers for
source.ingest.* and attachment.* events.
Coverage: 132 SSE tests across events substrate, replay, journal,
routes, and worker publishes.
* refactor(attachments): remove polling, SSE-only
frontend/src/components/MessageInput.tsx no longer runs a 2s
setInterval against getTaskStatus for every processing
attachment. The attachment.* SSE reducers in uploadSlice.ts are
now the sole driver of attachment state transitions.
* feat(connector): consume source.ingest.* SSE, remove polling
frontend/src/components/ConnectorTree.tsx now mirrors FileTree's
slice-walking pattern: it watches notifications.recentEvents
for source.ingest.{completed,failed} envelopes matching the
sync's source id, and no longer polls /task_status every 2s.
* refactor(source-ingest): remove polling, SSE-only
frontend/src/upload/Upload.tsx and
frontend/src/components/FileTree.tsx no longer run getTaskStatus
polling fallbacks. The source.ingest.* SSE reducers in
uploadSlice.ts and FileTree's slice walk are now the sole
drivers of upload/reingest state transitions.
* refactor(mcp-oauth): carry authorization_url in SSE, remove polling
application/worker.py::mcp_oauth now publishes
authorization_url on the mcp.oauth.awaiting_redirect envelope.
frontend/src/modals/MCPServerModal.tsx consumes it from SSE
instead of polling /oauth_status/<task_id> every 1s.
The URL is generated inside DocsGPTOAuth.redirect_handler when
the FastMCP client triggers OAuth. The worker now plumbs a
publish callback through tool_config -> MCPTool -> DocsGPTOAuth
so the awaiting_redirect publish fires from inside the handler
at the exact point the URL becomes known. The legacy Redis
mcp_oauth_status setex writes and the GET
/api/mcp_server/oauth_status/<task_id> endpoint are kept as
belt-and-suspenders; nothing in the frontend reads them now.
* feat(source-ingest): plumb limited flag through SSE for token-cap UX
application/worker.py::ingest_worker and remote_worker now publish
``limited: bool`` on the source.ingest.completed envelope.
uploadSlice routes ``payload.limited === true`` to a failed status
with a ``tokenLimitReached`` flag, and UploadToast surfaces the
translated tokenLimit i18n string. No worker code path sets
limited=true today; this is a forward-looking contract so when
token-cap detection lands, the UX is already wired.
* refactor(mcp-oauth): read status from SSE journal, drop polling endpoint
MCPOAuthManager.get_oauth_status now walks the per-user SSE Streams
journal (user:{user_id}:stream) for the latest mcp.oauth.* envelope
matching the task id, returning the status string derived from the
event type suffix and the payload fields. The worker is the single
source of truth — its publish_user_event calls write the same
record the SSE client receives live.
Removed:
- /api/mcp_server/oauth_status/<task_id> route in
application/api/user/tools/mcp.py
- mcp_oauth_status worker function and mcp_oauth_status_task Celery
wrapper
- All mcp_oauth_status:{task_id} Redis setex writes (4 in mcp_oauth,
2 in DocsGPTOAuth.redirect_handler / callback_handler)
- The update_status closure in mcp_oauth that wrote the polling
payload
Tests updated:
- get_oauth_status now takes (task_id, user_id); new coverage walks
a fake xrevrange response for the completed envelope, the no-match
case, and a Redis-down case
- Removed TestMCPOAuthStatus route tests and TestMcpOauthStatusTask
celery-wrapper test
- Removed the two oauth_status methods from the integration runner
mcp_oauth:auth_url/state/code/error Redis keys remain — they are
the OAuth flow's own state (not the dropped polling payload).
* chore(mcp-oauth): delete orphaned getMCPOAuthStatus client
The /api/mcp_server/oauth_status/<task_id> endpoint was removed in
the prior commit; the corresponding userService method and the
MCP_OAUTH_STATUS endpoint constant had no remaining callers in the
frontend, so they're deleted along with it.
* fix(events): drop live publish when journal write fails
application/events/publisher.py returned an envelope to live
pubsub subscribers even when the XADD to the durable journal
failed. The envelope had no ``id`` field, which bypassed the SSE
route's dedup floor and broke ``Last-Event-ID`` semantics for any
reconnecting client.
Best-effort delivery means dropping consistently, not delivering
inconsistent state. Now: if the journal write fails the publisher
returns None and skips the live publish entirely.
* fix(notifications): dedupe sseEventReceived against immediate dupes
Snapshot replay + live tail can both deliver the same id when the
live pubsub frame and the replay XRANGE overlap. The route's own
dedup floor catches the common case, but consumers walking
``recentEvents`` (FileTree, ConnectorTree, MCPServerModal,
ToolApprovalToast) would otherwise act on the same envelope
twice when a duplicate slipped through.
Belt-and-suspenders: short-circuit when the most recent id in
the ring matches the incoming one.
* fix(events): skip replay budget INCR when no snapshot work possible
_allow_replay incremented the per-user counter on every
/api/events GET, including no-op connects from a fresh client
with no cursor against an empty backlog. React StrictMode dev
double-mounts plus a few tabs trivially tripped the default
30-per-60s budget on idle reconnects.
XLEN pre-check: when last_event_id is None and the user stream
is empty, the connect can't do snapshot work — return True
without INCR. Cursor-bearing connects still INCR unconditionally
(probing the cursor's relationship to stream contents would
require a redundant XRANGE).
* fix(streaming): tighten journal contract + recover from seq collisions
Two related fixes to application/streaming/message_journal.py.
1. record_event now rejects non-dict payloads at the gate. The
live path (base.py::_emit) wrapped non-dicts as
{"value": payload}; the replay path in event_replay synthesized
{"type": event_type}. A reconnecting client would receive a
different envelope than the one originally streamed. Now both
paths see byte-identical envelopes because non-dicts can't be
journaled at all. The corresponding event_replay fallback is
replaced with a warn-and-skip for any legacy rows.
2. record_event handles IntegrityError on (message_id, sequence_no)
collisions by reading latest_sequence_no and retrying once with
latest+1. The most likely cause is a stale seq seed on a
continuation retry where the route read MAX(seq) from a
separate connection before another writer committed past it.
Previously the error was swallowed and the event silently
dropped from the journal; now it lands at the next available
seq. The live pubsub publish uses the materialised seq so the
journal row and the live frame agree.
* perf(streaming): batch message_events INSERTs per stream
complete_stream previously opened a fresh db_session() per yielded
event, doing one Postgres INSERT + commit per chunk on the WSGI
thread. Streaming answers emit ~100s of answer chunks per response,
so the route was paying ~100 PG roundtrips per stream serialized on
commit latency.
New BatchedJournalWriter in application/streaming/message_journal.py
accumulates rows per stream and flushes on three triggers:
- size: buffer reaches 16 entries
- time: 100ms elapsed since the last flush
- lifecycle: close() at end-of-stream
Live pubsub publishes still fire synchronously per record(), so
subscribers see events in real time — only the durable journal write
is amortized. On bulk INSERT IntegrityError the writer falls back to
per-row record() with the existing seq+1 retry so a single colliding
seq doesn't drop the rest of the batch.
complete_stream wires journal_writer.close() into every exit path
(happy end, tool-approval-paused end, GeneratorExit, error handler)
so the terminal event is committed before the generator returns —
otherwise a reconnecting client could snapshot up to the last flush
boundary and live-tail waiting for an end that's still in memory.
Repository gets bulk_record() — one SQLAlchemy executemany INSERT
for the bulk path. All-or-nothing on collision (Postgres aborts the
whole batch); the writer's per-row fallback handles recovery.
* chore(upload): drop dead UploadTask.lastEventAt field
The lastEventAt field on UploadTask had no remaining consumers — the
matching Attachment.lastEventAt was cleaned up earlier. Remove the
field declaration and the slice write site.
* chore(frontend): drop orphaned getTaskStatus client
After the polling-removal sweep no caller in frontend/src/ references
userService.getTaskStatus or endpoints.USER.TASK_STATUS. The backend
route /api/task_status itself stays — agents, webhooks, e2e specs,
and the public docs still depend on it.
* docs(repo): remove stale planning docs from repo root
notification-channel-design.md, plan.md, and reminder-tool-design.md
were leftover Claude planning artifacts from the SSE substrate work
that landed accidentally. CLAUDE.md prohibits creating planning docs
unless asked — delete them.
* docs(message-events): clarify repo vs wrapper payload contract
MessageEventsRepository.record accepts any JSONB-compatible value; the
streaming wrapper record_event tightens this to dicts only because the
live and replay paths reconstruct non-dict payloads differently. Spell
the split out so the next reader of the repo method doesn't assume the
wrapper's contract applies here.
* refactor(events): raise on malformed stream id instead of lex fallback
stream_id_compare's lex-fallback branch was a footgun: a malformed id
that sorts lex-greater than a real one would pin live-tail dedup
forever, dropping every subsequent legitimate event silently. Both
current callers in application/api/events/routes.py pre-validate
inputs against _STREAM_ID_RE before calling, so changing the function
to raise ValueError is a no-op on the happy path and turns the future-
caller footgun into a loud failure.
* test(tasks): cover cleanup_message_events task body
Adds skipped-when-no-POSTGRES_URI and happy-path coverage for the
Celery janitor. The skipped path returns the documented short-circuit
shape without touching the repo. The happy path seeds a backdated
row, runs the task against the pg_conn fixture, and asserts the
retention window's row is deleted while in-window rows survive.
Mirrors the TestCleanupPendingToolState pattern.
* fix(notifications): treat /c/new as no current conversation
useMatch('/c/:conversationId') treats the literal URL /c/new as a
real conversation id, so the toast suppression check confused
'user is on /c/new' with 'user is on the conversation needing
approval'. Explicit guard: when the matched id is 'new', fall
through to the no-match case so approval toasts still surface.
* docs(events): enumerate publish_user_event None-return paths
The function returns Optional[str] today, with None conflating five
distinct outcomes (missing args / push disabled / unserialisable /
Redis down / XADD failed). Every current call site is fire-and-
forget and ignores the return, so the right move is to document the
five cases rather than promote to an enum return — keeps the API
small while making the diagnostic surface (logs) obvious. If a
future caller needs to react differently per reason, promote then.
* refactor(sources): move source-id derivation out of worker module
application/api/user/sources/upload.py imported _derive_source_id
from application.worker — pulling the entire Celery worker module
into the API process at import time just for a two-line helper.
Move DOCSGPT_INGEST_NAMESPACE and the derivation function to a
new application/storage/db/source_ids.py module that both layers
can import without that dependency edge. worker.py re-exports the
old names (_derive_source_id, DOCSGPT_INGEST_NAMESPACE) for
backward-compatible imports from tests and any other in-tree
callers; new code should import from the new module directly.
* fix(cache): enable Redis health_check_interval to surface half-open TCP
Without health_check_interval, a half-open TCP socket (NAT silently
dropped state, ELB idle-close) can leave pubsub.get_message hanging
past the SSE generator's keepalive cadence — the kernel never
surfaces the dead socket because no payload is in flight. Setting
health_check_interval=10 makes redis-py ping every 10s when
otherwise idle, so the next get_message after the dead window
raises and the SSE loop falls into its reconnect path instead of
silently freezing on the user.
* chore(events): rename attachment.processing.progress to attachment.progress
The event-type taxonomy was inconsistent: source ingest emits
source.ingest.progress (three segments) while attachments emitted
attachment.processing.progress (four segments). Drops the
.processing. infix for parity. Worker publish sites, the slice
reducer's match, and the worker tests all flip together.
No external consumers — the event type is purely internal between
the publisher and the in-tab slice; safe to rename in one commit.
* feat: events cleanup
* fix: better docs
* fix: e2e tests
* (feat:memory) use fs/storage for files
* (feat:todo) artifact_id via sse
* (feat:notes) artifact id return
* (feat:artifact) add get endpoint, store todos with conv id
* (feat: artifacts) fe integration
* feat(artifacts): ui enhancements, notes as mkdwn
* chore(artifacts) updated artifact tests
* (feat:todo_tool) return all todo items
* (feat:tools) use specific tool names in bubble
* feat: add conversationId prop to artifact components in Conversation
* Revert "(feat:memory) use fs/storage for files"
This reverts commit d1ce3bea31a76374ea70ce65f1691e34e66bc683.
* (fix:fe) build fail
* feat: Implement model registry and capabilities for multi-provider support
- Added ModelRegistry to manage available models and their capabilities.
- Introduced ModelProvider enum for different LLM providers.
- Created ModelCapabilities dataclass to define model features.
- Implemented methods to load models based on API keys and settings.
- Added utility functions for model management in model_utils.py.
- Updated settings.py to include provider-specific API keys.
- Refactored LLM classes (Anthropic, OpenAI, Google, etc.) to utilize new model registry.
- Enhanced utility functions to handle token limits and model validation.
- Improved code structure and logging for better maintainability.
* feat: Add model selection feature with API integration and UI component
* feat: Add model selection and default model functionality in agent management
* test: Update assertions and formatting in stream processing tests
* refactor(llm): Standardize model identifier to model_id
* fix tests
---------
Co-authored-by: Alex <a@tushynski.me>
arc53-machine