* fix: detect and fail on malformed approval responses
* fix: guard against None approvals in utils.py
* fix: add extra warning
* fix: stop silent drops in deserialize_approvals
* fix: patch v3 stream error handling to prevent sending end_turn after an error occurs, and ensures stop_reason is always set when an error occurs
* fix: Prevents infinite client hangs by ensuring a terminal event is ALWAYS sent
* fix: Ensures terminal events are sent even if inner stream generator fails to
send them
* fix: patch sse streaming errors
* fix: don't re-raise, but log explicitly with sentry
* chore: cleanup comments
* fix: revert change from #5907, also make sure to write out a [DONE] to close the stream
* Fix agent loop continuing after cancellation in letta_agent_v3
Bug: When a run is cancelled, _check_run_cancellation() sets
self.should_continue=False and returns early from _step(), but the outer
for loop (line 245) continues to the next iteration, executing subsequent
steps even though cancellation was requested.
Symptom: User hits cancel during step 1, backend marks run as cancelled,
but agent continues executing steps 2, 3, etc.
Root cause: After the 'async for chunk in response' loop completes (line 255),
there was no check of self.should_continue before continuing to the next
iteration of the outer step loop.
Fix: Added 'if not self.should_continue: break' check after the inner loop
to exit the outer step loop when cancellation is detected. This makes v3
consistent with v2 which already had this check (line 306-307).
🐾 Generated with [Letta Code](https://letta.com)
Co-authored-by: Letta <noreply@letta.com>
* add integration tests
* passing tests
* fix: minor patches
* undo
---------
Co-authored-by: cpacker <packercharles@gmail.com>
Co-authored-by: Letta <noreply@letta.com>
* Fix agent loop continuing after cancellation in letta_agent_v3
Bug: When a run is cancelled, _check_run_cancellation() sets
self.should_continue=False and returns early from _step(), but the outer
for loop (line 245) continues to the next iteration, executing subsequent
steps even though cancellation was requested.
Symptom: User hits cancel during step 1, backend marks run as cancelled,
but agent continues executing steps 2, 3, etc.
Root cause: After the 'async for chunk in response' loop completes (line 255),
there was no check of self.should_continue before continuing to the next
iteration of the outer step loop.
Fix: Added 'if not self.should_continue: break' check after the inner loop
to exit the outer step loop when cancellation is detected. This makes v3
consistent with v2 which already had this check (line 306-307).
🐾 Generated with [Letta Code](https://letta.com)
Co-authored-by: Letta <noreply@letta.com>
* add integration tests
* fix: misc fixes required to get cancellations to work on letta code localhost
---------
Co-authored-by: Letta <noreply@letta.com>
Co-authored-by: Sarah Wooders <sarahwooders@gmail.com>
* first hack
* clean up
* first implementation working
* revert package-lock
* remove openai test
* error throw
* typo
* Update integration_test_send_message_v2.py
* Update integration_test_send_message_v2.py
* refine test
* Only make changes for openai non streaming
* Add tests
---------
Co-authored-by: Ari Webb <ari@letta.com>
Co-authored-by: Matt Zhou <mattzh1314@gmail.com>
* Fix VoiceAgent to use run_manager instead of job_manager
VoiceAgent.__init__() was incorrectly using job_manager parameter
when ToolExecutionManager expects run_manager. This was causing
the error: "VoiceAgent.__init__() got an unexpected keyword
argument 'run_manager'".
Changes:
- Update VoiceAgent to accept and use run_manager instead of job_manager
- Update VoiceSleeptimeAgent to accept run_manager parameter
- Update imports to use RunManager instead of JobManager
- Pass run_manager to ToolExecutionManager in VoiceAgent._execute_tool
* docs: Add new examples to documentation
- Introduced "Your First Agent" example to guide users in creating a Letta agent and understanding its memory capabilities.
- Added "Attaching and Detaching Memory Blocks" example to demonstrate dynamic memory management for agents.
- Updated navigation in docs.yml to include links to the new examples.
These additions enhance the learning resources available for users working with Letta agents.
* wip
* Fix parallel tool calling interface
* wip
* wip adapt using id field
* Integrate new multi tool return schemas into parallel tool calling
* Remove example script
* Reset changes to llm stream adapter since old agent loop should not enable parallel tool calling
* Clean up fallback logic for extracting tool calls
* Remove redundant check
* Simplify logic
* Clean up logic in handle ai response
* Fix tests
* Write anthropic dict conversion to be back compatible
* wip
* Double write tool call id for legacy reasons
* Fix override args failures
* Patch for approvals
* Revert comments
* Remove extraneous prints
