* feat: add message_types filter to list messages endpoint
Add the ability to filter messages by type when listing message history
via GET /v1/agents/{agent_id}/messages. This brings parity with the
create message endpoint which already supports include_return_message_types.
Changes:
- Add message_types query parameter to list_messages endpoint in agents.py
- Add message_types parameter to get_agent_recall_async in server.py
- Filter messages by message_type after LettaMessage conversion
- Add test for message_types filtering
Closes#8277
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> "Simplicity is the ultimate sophistication." - Leonardo da Vinci
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* chore: regenerate OpenAPI spec and SDK for message_types filter
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Written by Cameron ◯ Letta Code
"The only way to do great work is to love what you do." - Steve Jobs
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* feat: allow client-side tools to be specified in request
Add `client_tools` field to LettaRequest to allow passing tool schemas
at message creation time without requiring server-side registration.
When the agent calls a client-side tool, execution pauses with
stop_reason=requires_approval for the client to provide tool returns.
- Add ClientToolSchema class for request-level tool schemas
- Merge client tools with agent tools in _get_valid_tools()
- Treat client-side tool calls as requiring approval
- Add integration tests for client-side tools flow
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* test: add comprehensive end-to-end test for client-side tools
Update integration test to verify the complete flow:
- Agent calls client-side tool and pauses
- Client provides tool return with secret code
- Agent processes and responds
- User asks about the code, agent recalls it
- Validate full conversation history makes sense
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* update apis
* fix: client-side tools schema format and test assertions
- Use flat schema format for client tools (matching t.json_schema)
- Support both object and dict access for client tools
- Fix stop_reason assertions to access .stop_reason attribute
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* refactor: simplify client_tools access pattern
ClientToolSchema objects always have .name attribute
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* fix: add client_tools parameter to LettaAgentV2 for API compatibility
V2 agent doesn't use client_tools but needs the parameter
to match the base class signature.
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* revert: remove client_tools from LettaRequestConfig
Client-side tools don't work with background jobs since
there's no client present to provide tool returns.
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* fix: add client_tools parameter to SleeptimeMultiAgent classes
Add client_tools to step() and stream() methods in:
- SleeptimeMultiAgentV3
- SleeptimeMultiAgentV4
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* chore: regenerate API specs for client_tools support
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This fixes the asyncpg.exceptions.CharacterNotInRepertoireError that occurs
when tool returns contain null bytes (0x00), which PostgreSQL TEXT columns
reject in UTF-8 encoding.
Changes:
- Add sanitize_null_bytes() function to recursively remove null bytes from strings
- Update json_dumps() to sanitize data before serialization
- Apply sanitization in converters.py for tool_calls, tool_returns, approvals, and message_content
- Add comprehensive unit tests
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* fix: prevent human block overwrite when skills block missing
**Bug**: When connecting to agents created before skills blocks were
standard, the human block gets overwritten with skills directory content.
**Root cause**: agent_manager.py:1893-1898 had `block = block` (no-op).
When skills block doesn't exist, loop variable ends as last block in
core_memory (often "human"), then updates that wrong block.
**Fix**: Use `matched_block` variable to properly track found block.
Now correctly raises NoResultFound when block label doesn't exist.
**Impact**: Affects pre-December 2025 agents missing skills blocks.
Written by Cameron ◯ Letta Code
"The best error message is the one that never shows up." - Thomas Fuchs
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* fix: use correct method name in block update test
Change get_block_by_label_async to get_block_with_label_async in test.
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* feat: add zai provider support
* add zai_api_key secret to deploy-core
* add to justfile
* add testing, provider integration skill
* enable zai key
* fix zai test
* clean up skill a little
* small changes
* refactor: migrate mcp_servers and mcp_oauth to encrypted-only columns
Complete migration to encrypted-only storage for sensitive fields:
- Remove dual-write to plaintext columns (token, custom_headers,
authorization_code, access_token, refresh_token, client_secret)
- Read only from _enc columns, not from plaintext fallback
- Remove helper methods (get_token_secret, set_token_secret, etc.)
- Remove Secret.from_db() and Secret.to_dict() methods
- Update tests to verify encrypted-only behavior
After this change, plaintext columns can be set to NULL manually
since they are no longer read from or written to.
* fix test
* rename
* update
* union
* fix test
* initial commit
* Add database migration for compaction_settings field
This migration adds the compaction_settings column to the agents table
to support customized summarization configuration for each agent.
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* fix
* rename
* update apis
* fix tests
* update web test
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Add tests to verify that providers work correctly when no encryption key
is configured. The Secret class stores values as plaintext in _enc columns
and retrieves them successfully, but this code path had no test coverage.
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* fix: exclude common API key prefixes from encryption detection
Add a list of known API key prefixes (OpenAI, Anthropic, GitHub, AWS,
Slack, etc.) to prevent is_encrypted() from incorrectly identifying
plaintext credentials as encrypted values.
* update
* test
* 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)"
* Revert "fix test"
This reverts commit 5126815f23cefb4edad3e3bf9e7083209dcc7bf1.
* fix server and better test
* test fix, get api key for base and byok?
* set letta default endpoint
* try to fix timeout for test
* fix for letta api key
* Delete apps/core/tests/sdk_v1/conftest.py
* Update utils.py
* clean up a few issues
* fix filterning on list_llm_models
* soft delete models with provider
* add one more test
* fix ci
* add timeout
* band aid for letta embedding provider
* info instead of error logs when creating models
* add regression test for dict content in AssistantMessage
Tests the fix for pydantic validation error when send_message tool
returns dict content like {'tofu': 1, 'mofu': 1, 'bofu': 1}.
The test verifies that dict content is properly serialized to JSON
string before creating AssistantMessage.
* improve type annotation for validate_function_response
Changed return type from Any to str | dict[str, Any] to match actual
behavior. This enables static type checkers (pyright, mypy) to catch
type mismatches like the AssistantMessage bug.
With proper type annotations, pyright would have caught:
error: Argument of type "str | dict[str, Any]" cannot be assigned
to parameter "content" of type "str"
This prevents future bugs where dict is passed to string-only fields.
* add regression test for dict content in AssistantMessage
Moved test into existing test_message_manager.py suite alongside other
message conversion tests.
Tests the fix for pydantic validation error when send_message tool
returns dict content like {'tofu': 1, 'mofu': 1, 'bofu': 1}.
The test verifies that dict content is properly serialized to JSON
string before creating AssistantMessage.
* fix: clear message history no longer deletes messages
* toast and make it stay for 8 secs
* fix test
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