* fix: replace all 'PRODUCTION' references with 'prod' for consistency
Problem: Codebase had 11 references to 'PRODUCTION' (uppercase) that should
use 'prod' (lowercase) for consistency with the deployment workflows and
environment normalization.
Changes across 8 files:
1. Source files (using settings.environment):
- letta/functions/function_sets/multi_agent.py
- letta/services/tool_manager.py
- letta/services/tool_executor/multi_agent_tool_executor.py
- letta/services/helpers/agent_manager_helper.py
All checks changed from: settings.environment == "PRODUCTION"
To: settings.environment == "prod"
2. OTEL resource configuration:
- letta/otel/resource.py
- Updated _normalize_environment_tag() to handle 'prod' directly
- Removed 'PRODUCTION' -> 'prod' mapping (no longer needed)
- Updated device.id check from _env != "PRODUCTION" to _env != "prod"
3. Test files:
- tests/managers/conftest.py
- Fixture parameter changed from "PRODUCTION" to "prod"
- tests/managers/test_agent_manager.py (3 occurrences)
- tests/managers/test_tool_manager.py (2 occurrences)
All test checks changed to use "prod"
Result: Complete consistency across the codebase:
- All environment checks use "prod" instead of "PRODUCTION"
- Normalization function simplified (no special case for PRODUCTION)
- Tests use correct "prod" value
- Matches deployment workflow configuration from PR #6626
This completes the environment naming standardization effort.
* fix: update settings.py environment description to use 'prod' instead of 'PRODUCTION'
The field description still referenced PRODUCTION as an example value.
Updated to use lowercase 'prod' for consistency with actual usage.
Before: "Application environment (PRODUCTION, DEV, CANARY, etc. - normalized to lowercase for OTEL tags)"
After: "Application environment (prod, dev, canary, etc. - lowercase values used for OTEL tags)"
The docstring incorrectly stated that fetch_webpage uses Jina AI reader.
Updated to accurately describe the actual implementation which uses:
1. Exa API (if EXA_API_KEY is available)
2. Trafilatura (fallback)
3. Readability + html2text (final fallback)
🐾 Generated with [Letta Code](https://letta.com)
Co-authored-by: Letta <noreply@letta.com>
* Update archival memory docstrings for clarity
Improved docstrings for archival_memory_insert and archival_memory_search to:
- Better explain when and how to use these tools
- Provide clearer best practices
- Include more realistic examples (meeting notes, project updates)
- Emphasize semantic search vs keyword matching
- Clarify tag filtering behavior
👾 Generated with [Letta Code](https://letta.com)
Co-Authored-By: Letta <noreply@letta.com>
* examples
---------
Co-authored-by: Letta <noreply@letta.com>
Co-authored-by: Kevin Lin <kl2806@columbia.edu>
* add anthropic memory tools
* memory view working
* update memory examples
* tools
* feat: some changes (#5003)
* feat: added the ability to modify and add descriptions on creation
* fix: kill dead code & write into core_tool_executor instead
* fix: use block_manager not agent_manager where possible, also turn the return string errors into raising exceptions
* fix: cleanup, get rid of more return string errors replaced with valueerror, also drop deadcode
---------
Co-authored-by: Charles Packer <packercharles@gmail.com>
* remove apps/core and apps/fern
* fix precommit
* add submodule updates in workflows
* submodule
* remove core tests
* update core revision
* Add submodules: true to all GitHub workflows
- Ensure all workflows can access git submodules
- Add submodules support to deployment, test, and CI workflows
- Fix YAML syntax issues in workflow files
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* remove core-lint
* upgrade core with latest main of oss
---------
Co-authored-by: Claude <noreply@anthropic.com>
* feat: increase the verbosity of the heartbeat kwarg
* chore: strip docstrings out from the file in which they are not parsed (duplicates inside base.py
* feat: add examples to the docstrings for memory_replace and memory_insert
* feat: add more examples
