diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
index ff63f2ac..11db2840 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -11,20 +11,25 @@ assignees: ''
A clear and concise description of what the bug is.
**Please describe your setup**
-- [ ] How did you install letta?
- - `pip install letta`? `pip install letta-nightly`? `git clone`?
+- [ ] How are you running Letta?
+ - Docker
+ - pip (legacy)
+ - From source
+ - Desktop
- [ ] Describe your setup
- What's your OS (Windows/MacOS/Linux)?
- - How are you running `letta`? (`cmd.exe`/Powershell/Anaconda Shell/Terminal)
+ - What is your `docker run ...` command (if applicable)
**Screenshots**
If applicable, add screenshots to help explain your problem.
**Additional context**
Add any other context about the problem here.
+- What model you are using
+
+**Agent File (optional)**
+Please attach your `.af` file, as this helps with reproducing issues.
-**Letta Config**
-Please attach your `~/.letta/config` file or copy paste it below.
---
diff --git a/.github/workflows/notify-letta-cloud.yml b/.github/workflows/notify-letta-cloud.yml
deleted file mode 100644
index 0874be59..00000000
--- a/.github/workflows/notify-letta-cloud.yml
+++ /dev/null
@@ -1,19 +0,0 @@
-name: Notify Letta Cloud
-
-on:
- push:
- branches:
- - main
-
-jobs:
- notify:
- runs-on: ubuntu-latest
- if: ${{ !contains(github.event.head_commit.message, '[sync-skip]') }}
- steps:
- - name: Trigger repository_dispatch
- run: |
- curl -X POST \
- -H "Authorization: token ${{ secrets.SYNC_PAT }}" \
- -H "Accept: application/vnd.github.v3+json" \
- https://api.github.com/repos/letta-ai/letta-cloud/dispatches \
- -d '{"event_type":"oss-update"}'
diff --git a/.github/workflows/send-message-integration-tests.yaml b/.github/workflows/send-message-integration-tests.yaml
new file mode 100644
index 00000000..1c7b45e0
--- /dev/null
+++ b/.github/workflows/send-message-integration-tests.yaml
@@ -0,0 +1,155 @@
+name: Send Message SDK Tests
+on:
+ pull_request_target:
+ # branches: [main] # TODO: uncomment before merge
+ types: [labeled]
+ paths:
+ - 'letta/**'
+
+jobs:
+ send-messages:
+ # Only run when the "safe to test" label is applied
+ if: contains(github.event.pull_request.labels.*.name, 'safe to test')
+ runs-on: ubuntu-latest
+ timeout-minutes: 15
+ strategy:
+ fail-fast: false
+ matrix:
+ config_file:
+ - "openai-gpt-4o-mini.json"
+ - "azure-gpt-4o-mini.json"
+ - "claude-3-5-sonnet.json"
+ - "claude-3-7-sonnet.json"
+ - "claude-3-7-sonnet-extended.json"
+ - "gemini-pro.json"
+ - "gemini-vertex.json"
+ services:
+ qdrant:
+ image: qdrant/qdrant
+ ports:
+ - 6333:6333
+ postgres:
+ image: pgvector/pgvector:pg17
+ ports:
+ - 5432:5432
+ env:
+ POSTGRES_HOST_AUTH_METHOD: trust
+ POSTGRES_DB: postgres
+ POSTGRES_USER: postgres
+ options: >-
+ --health-cmd pg_isready
+ --health-interval 10s
+ --health-timeout 5s
+ --health-retries 5
+
+ steps:
+ # Ensure secrets don't leak
+ - name: Configure git to hide secrets
+ run: |
+ git config --global core.logAllRefUpdates false
+ git config --global log.hideCredentials true
+ - name: Set up secret masking
+ run: |
+ # Automatically mask any environment variable ending with _KEY
+ for var in $(env | grep '_KEY=' | cut -d= -f1); do
+ value="${!var}"
+ if [[ -n "$value" ]]; then
+ # Mask the full value
+ echo "::add-mask::$value"
+
+ # Also mask partial values (first and last several characters)
+ # This helps when only parts of keys appear in logs
+ if [[ ${#value} -gt 8 ]]; then
+ echo "::add-mask::${value:0:8}"
+ echo "::add-mask::${value:(-8)}"
+ fi
+
+ # Also mask with common formatting changes
+ # Some logs might add quotes or other characters
+ echo "::add-mask::\"$value\""
+ echo "::add-mask::$value\""
+ echo "::add-mask::\"$value"
+
+ echo "Masked secret: $var (length: ${#value})"
+ fi
+ done
+
+ # Check out base repository code, not the PR's code (for security)
+ - name: Checkout base repository
+ uses: actions/checkout@v4 # No ref specified means it uses base branch
+
+ # Only extract relevant files from the PR (for security, specifically prevent modification of workflow files)
+ - name: Extract PR schema files
+ run: |
+ # Fetch PR without checking it out
+ git fetch origin pull/${{ github.event.pull_request.number }}/head:pr-${{ github.event.pull_request.number }}
+
+ # Extract ONLY the schema files
+ git checkout pr-${{ github.event.pull_request.number }} -- letta/
+ - name: Set up python 3.12
+ id: setup-python
+ uses: actions/setup-python@v5
+ with:
+ python-version: 3.12
+ - name: Load cached Poetry Binary
+ id: cached-poetry-binary
+ uses: actions/cache@v4
+ with:
+ path: ~/.local
+ key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-1.8.3
+ - name: Install Poetry
+ uses: snok/install-poetry@v1
+ with:
+ version: 1.8.3
+ virtualenvs-create: true
+ virtualenvs-in-project: true
+ - name: Load cached venv
+ id: cached-poetry-dependencies
+ uses: actions/cache@v4
+ with:
+ path: .venv
+ key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}${{ inputs.install-args || '-E dev -E postgres -E external-tools -E tests -E cloud-tool-sandbox' }}
+ # Restore cache with this prefix if not exact match with key
+ # Note cache-hit returns false in this case, so the below step will run
+ restore-keys: |
+ venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-
+ - name: Install dependencies
+ if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
+ shell: bash
+ run: poetry install --no-interaction --no-root ${{ inputs.install-args || '-E dev -E postgres -E external-tools -E tests -E cloud-tool-sandbox -E google' }}
+ - name: Install letta packages via Poetry
+ run: |
+ poetry run pip install --upgrade letta-client letta
+ - name: Migrate database
+ env:
+ LETTA_PG_PORT: 5432
+ LETTA_PG_USER: postgres
+ LETTA_PG_PASSWORD: postgres
+ LETTA_PG_DB: postgres
+ LETTA_PG_HOST: localhost
+ run: |
+ psql -h localhost -U postgres -d postgres -c 'CREATE EXTENSION vector'
+ poetry run alembic upgrade head
+ - name: Run integration tests for ${{ matrix.config_file }}
+ env:
+ LLM_CONFIG_FILE: ${{ matrix.config_file }}
+ LETTA_PG_PORT: 5432
+ LETTA_PG_USER: postgres
+ LETTA_PG_PASSWORD: postgres
+ LETTA_PG_DB: postgres
+ LETTA_PG_HOST: localhost
+ LETTA_SERVER_PASS: test_server_token
+ OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+ ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+ AZURE_API_KEY: ${{ secrets.AZURE_API_KEY }}
+ AZURE_BASE_URL: ${{ secrets.AZURE_BASE_URL }}
+ GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
+ COMPOSIO_API_KEY: ${{ secrets.COMPOSIO_API_KEY }}
+ DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
+ GOOGLE_CLOUD_PROJECT: ${{ secrets.GOOGLE_CLOUD_PROJECT }}
+ GOOGLE_CLOUD_LOCATION: ${{ secrets.GOOGLE_CLOUD_LOCATION }}
+ run: |
+ poetry run pytest \
+ -s -vv \
+ tests/integration_test_send_message.py \
+ --maxfail=1 --durations=10
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 760be895..3ea08c3c 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -28,7 +28,7 @@ First, install Poetry using [the official instructions here](https://python-poet
Once Poetry is installed, navigate to the letta directory and install the Letta project with Poetry:
```shell
cd letta
-poetry shell
+eval $(poetry env activate)
poetry install --all-extras
```
#### Setup PostgreSQL environment (optional)
diff --git a/README.md b/README.md
index 4aa9d728..aa102ba3 100644
--- a/README.md
+++ b/README.md
@@ -8,26 +8,13 @@
Letta (previously MemGPT)
-
-**☄️ New release: Letta Agent Development Environment (_read more [here](#-access-the-ade-agent-development-environment)_) ☄️**
-
-
-
-
-
-
-
-
-
----
-
[Homepage](https://letta.com) // [Documentation](https://docs.letta.com) // [ADE](https://docs.letta.com/agent-development-environment) // [Letta Cloud](https://forms.letta.com/early-access)
-**👾 Letta** is an open source framework for building stateful LLM applications. You can use Letta to build **stateful agents** with advanced reasoning capabilities and transparent long-term memory. The Letta framework is white box and model-agnostic.
+**👾 Letta** is an open source framework for building **stateful agents** with advanced reasoning capabilities and transparent long-term memory. The Letta framework is white box and model-agnostic.
[](https://discord.gg/letta)
[](https://twitter.com/Letta_AI)
@@ -157,7 +144,7 @@ No, the data in your Letta server database stays on your machine. The Letta ADE
> _"Do I have to use your ADE? Can I build my own?"_
-The ADE is built on top of the (fully open source) Letta server and Letta Agents API. You can build your own application like the ADE on top of the REST API (view the documention [here](https://docs.letta.com/api-reference)).
+The ADE is built on top of the (fully open source) Letta server and Letta Agents API. You can build your own application like the ADE on top of the REST API (view the documentation [here](https://docs.letta.com/api-reference)).
> _"Can I interact with Letta agents via the CLI?"_
diff --git a/dev-compose.yaml b/dev-compose.yaml
index 42239b98..36fd5c54 100644
--- a/dev-compose.yaml
+++ b/dev-compose.yaml
@@ -28,7 +28,6 @@ services:
- "8083:8083"
- "8283:8283"
environment:
- - SERPAPI_API_KEY=${SERPAPI_API_KEY}
- LETTA_PG_DB=${LETTA_PG_DB:-letta}
- LETTA_PG_USER=${LETTA_PG_USER:-letta}
- LETTA_PG_PASSWORD=${LETTA_PG_PASSWORD:-letta}
diff --git a/examples/docs/example.py b/examples/docs/example.py
index 38f924ba..8068b868 100644
--- a/examples/docs/example.py
+++ b/examples/docs/example.py
@@ -8,6 +8,7 @@ If you're using Letta Cloud, replace 'baseURL' with 'token'
See: https://docs.letta.com/api-reference/overview
Execute this script using `poetry run python3 example.py`
+This will install `letta_client` and other dependencies.
"""
client = Letta(
base_url="http://localhost:8283",
diff --git a/examples/mcp_example.py b/examples/mcp_example.py
index a12c3faf..13ba92d7 100644
--- a/examples/mcp_example.py
+++ b/examples/mcp_example.py
@@ -2,22 +2,33 @@ from pprint import pprint
from letta_client import Letta
+# Connect to Letta server
client = Letta(base_url="http://localhost:8283")
+# Use the "everything" mcp server:
+# https://github.com/modelcontextprotocol/servers/tree/main/src/everything
mcp_server_name = "everything"
mcp_tool_name = "echo"
+# List all McpTool belonging to the "everything" mcp server.
mcp_tools = client.tools.list_mcp_tools_by_server(
mcp_server_name=mcp_server_name,
)
+
+# We can see that "echo" is one of the tools, but it's not
+# a letta tool that can be added to a client (it has no tool id).
for tool in mcp_tools:
pprint(tool)
+# Create a Tool (with a tool id) using the server and tool names.
mcp_tool = client.tools.add_mcp_tool(
mcp_server_name=mcp_server_name,
mcp_tool_name=mcp_tool_name
)
+# Create an agent with the tool, using tool.id -- note that
+# this is the ONLY tool in the agent, you typically want to
+# also include the default tools.
agent = client.agents.create(
memory_blocks=[
{
@@ -31,6 +42,7 @@ agent = client.agents.create(
)
print(f"Created agent id {agent.id}")
+# Ask the agent to call the tool.
response = client.agents.messages.create(
agent_id=agent.id,
messages=[
diff --git a/examples/notebooks/Customizing memory management.ipynb b/examples/notebooks/Customizing memory management.ipynb
index af167dce..2df343b4 100644
--- a/examples/notebooks/Customizing memory management.ipynb
+++ b/examples/notebooks/Customizing memory management.ipynb
@@ -253,15 +253,18 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": null,
"id": "7808912f-831b-4cdc-8606-40052eb809b4",
"metadata": {},
"outputs": [],
"source": [
- "from typing import Optional, List\n",
+ "from typing import Optional, List, TYPE_CHECKING\n",
"import json\n",
"\n",
- "def task_queue_push(self: \"Agent\", task_description: str):\n",
+ "if TYPE_CHECKING:\n",
+ " from letta import AgentState\n",
+ "\n",
+ "def task_queue_push(agent_state: \"AgentState\", task_description: str):\n",
" \"\"\"\n",
" Push to a task queue stored in core memory. \n",
"\n",
@@ -273,12 +276,12 @@
" does not produce a response.\n",
" \"\"\"\n",
" import json\n",
- " tasks = json.loads(self.memory.get_block(\"tasks\").value)\n",
+ " tasks = json.loads(agent_state.memory.get_block(\"tasks\").value)\n",
" tasks.append(task_description)\n",
- " self.memory.update_block_value(\"tasks\", json.dumps(tasks))\n",
+ " agent_state.memory.update_block_value(\"tasks\", json.dumps(tasks))\n",
" return None\n",
"\n",
- "def task_queue_pop(self: \"Agent\"):\n",
+ "def task_queue_pop(agent_state: \"AgentState\"):\n",
" \"\"\"\n",
" Get the next task from the task queue \n",
"\n",
@@ -288,12 +291,12 @@
" None (the task queue is empty)\n",
" \"\"\"\n",
" import json\n",
- " tasks = json.loads(self.memory.get_block(\"tasks\").value)\n",
+ " tasks = json.loads(agent_state.memory.get_block(\"tasks\").value)\n",
" if len(tasks) == 0: \n",
" return None\n",
" task = tasks[0]\n",
" print(\"CURRENT TASKS: \", tasks)\n",
- " self.memory.update_block_value(\"tasks\", json.dumps(tasks[1:]))\n",
+ " agent_state.memory.update_block_value(\"tasks\", json.dumps(tasks[1:]))\n",
" return task\n",
"\n",
"push_task_tool = client.tools.upsert_from_function(func=task_queue_push)\n",
@@ -310,7 +313,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": null,
"id": "135fcf3e-59c4-4da3-b86b-dbffb21aa343",
"metadata": {},
"outputs": [],
@@ -336,10 +339,12 @@
" ),\n",
" CreateBlock(\n",
" label=\"tasks\",\n",
- " value=\"\",\n",
+ " value=\"[]\",\n",
" ),\n",
" ],\n",
" tool_ids=[push_task_tool.id, pop_task_tool.id],\n",
+ " model=\"letta/letta-free\",\n",
+ " embedding=\"letta/letta-free\",\n",
")"
]
},
diff --git a/letta/__init__.py b/letta/__init__.py
index 6cc0e81b..256d17b0 100644
--- a/letta/__init__.py
+++ b/letta/__init__.py
@@ -1,6 +1,6 @@
import os
-__version__ = "0.7.14"
+__version__ = "0.8.4"
if os.environ.get("LETTA_VERSION"):
__version__ = os.environ["LETTA_VERSION"]
@@ -9,7 +9,7 @@ if os.environ.get("LETTA_VERSION"):
# import clients
from letta.client.client import RESTClient
-# # imports for easier access
+# imports for easier access
from letta.schemas.agent import AgentState
from letta.schemas.block import Block
from letta.schemas.embedding_config import EmbeddingConfig
diff --git a/letta/__main__.py b/letta/__main__.py
deleted file mode 100644
index 89f11424..00000000
--- a/letta/__main__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .main import app
-
-app()
diff --git a/letta/embeddings.py b/letta/embeddings.py
index 776671b5..54181577 100644
--- a/letta/embeddings.py
+++ b/letta/embeddings.py
@@ -235,7 +235,9 @@ def embedding_model(config: EmbeddingConfig, user_id: Optional[uuid.UUID] = None
if endpoint_type == "openai":
return OpenAIEmbeddings(
- api_key=model_settings.openai_api_key, model=config.embedding_model, base_url=model_settings.openai_api_base
+ api_key=model_settings.openai_api_key,
+ model=config.embedding_model,
+ base_url=model_settings.openai_api_base,
)
elif endpoint_type == "azure":
diff --git a/letta/functions/function_sets/base.py b/letta/functions/function_sets/base.py
index 2748f72c..f70ecb31 100644
--- a/letta/functions/function_sets/base.py
+++ b/letta/functions/function_sets/base.py
@@ -46,7 +46,7 @@ def conversation_search(self: "Agent", query: str, page: Optional[int] = 0) -> O
count = RETRIEVAL_QUERY_DEFAULT_PAGE_SIZE
# TODO: add paging by page number. currently cursor only works with strings.
# original: start=page * count
- messages = self.message_manager.list_user_messages_for_agent(
+ messages = self.message_manager.list_messages_for_agent(
agent_id=self.agent_state.id,
actor=self.user,
query_text=query,
diff --git a/letta/llm_api/anthropic.py b/letta/llm_api/anthropic.py
index 7d9cdf73..d7a594a2 100644
--- a/letta/llm_api/anthropic.py
+++ b/letta/llm_api/anthropic.py
@@ -55,6 +55,18 @@ BASE_URL = "https://api.anthropic.com/v1"
# https://docs.anthropic.com/claude/docs/models-overview
# Sadly hardcoded
MODEL_LIST = [
+ {
+ "name": "claude-opus-4-20250514",
+ "context_window": 200000,
+ },
+ {
+ "name": "claude-sonnet-4-20250514",
+ "context_window": 200000,
+ },
+ {
+ "name": "claude-3-5-haiku-20241022",
+ "context_window": 200000,
+ },
## Opus
{
"name": "claude-3-opus-20240229",
diff --git a/letta/llm_api/aws_bedrock.py b/letta/llm_api/aws_bedrock.py
index 688efc63..ab6ddcf5 100644
--- a/letta/llm_api/aws_bedrock.py
+++ b/letta/llm_api/aws_bedrock.py
@@ -3,14 +3,19 @@ from typing import Any, Dict, List
from anthropic import AnthropicBedrock
+from letta.log import get_logger
from letta.settings import model_settings
+logger = get_logger(__name__)
+
def has_valid_aws_credentials() -> bool:
"""
Check if AWS credentials are properly configured.
"""
- valid_aws_credentials = os.getenv("AWS_ACCESS_KEY") and os.getenv("AWS_SECRET_ACCESS_KEY") and os.getenv("AWS_REGION")
+ valid_aws_credentials = (
+ os.getenv("AWS_ACCESS_KEY") is not None and os.getenv("AWS_SECRET_ACCESS_KEY") is not None and os.getenv("AWS_REGION") is not None
+ )
return valid_aws_credentials
@@ -20,6 +25,7 @@ def get_bedrock_client():
"""
import boto3
+ logger.debug(f"Getting Bedrock client for {model_settings.aws_region}")
sts_client = boto3.client(
"sts",
aws_access_key_id=model_settings.aws_access_key,
@@ -51,12 +57,13 @@ def bedrock_get_model_list(region_name: str) -> List[dict]:
"""
import boto3
+ logger.debug(f"Getting model list for {region_name}")
try:
bedrock = boto3.client("bedrock", region_name=region_name)
response = bedrock.list_inference_profiles()
return response["inferenceProfileSummaries"]
except Exception as e:
- print(f"Error getting model list: {str(e)}")
+ logger.exception(f"Error getting model list: {str(e)}", e)
raise e
@@ -67,6 +74,7 @@ def bedrock_get_model_details(region_name: str, model_id: str) -> Dict[str, Any]
import boto3
from botocore.exceptions import ClientError
+ logger.debug(f"Getting model details for {model_id}")
try:
bedrock = boto3.client("bedrock", region_name=region_name)
response = bedrock.get_foundation_model(modelIdentifier=model_id)
diff --git a/letta/orm/sqlalchemy_base.py b/letta/orm/sqlalchemy_base.py
index ae27908d..cd5f6104 100644
--- a/letta/orm/sqlalchemy_base.py
+++ b/letta/orm/sqlalchemy_base.py
@@ -490,16 +490,21 @@ class SqlalchemyBase(CommonSqlalchemyMetaMixins, Base):
Raises:
NoResultFound: if the object is not found
"""
+ from letta.settings import settings
+
identifiers = [] if identifier is None else [identifier]
query, query_conditions = cls._read_multiple_preprocess(identifiers, actor, access, access_type, check_is_deleted, **kwargs)
if query is None:
raise NoResultFound(f"{cls.__name__} not found with identifier {identifier}")
- await db_session.execute(text("SET LOCAL enable_seqscan = OFF"))
+
+ if settings.letta_pg_uri_no_default:
+ await db_session.execute(text("SET LOCAL enable_seqscan = OFF"))
try:
result = await db_session.execute(query)
item = result.scalar_one_or_none()
finally:
- await db_session.execute(text("SET LOCAL enable_seqscan = ON"))
+ if settings.letta_pg_uri_no_default:
+ await db_session.execute(text("SET LOCAL enable_seqscan = ON"))
if item is None:
raise NoResultFound(f"{cls.__name__} not found with {', '.join(query_conditions if query_conditions else ['no conditions'])}")
diff --git a/letta/schemas/llm_config.py b/letta/schemas/llm_config.py
index ab024708..dc0f4f58 100644
--- a/letta/schemas/llm_config.py
+++ b/letta/schemas/llm_config.py
@@ -75,7 +75,8 @@ class LLMConfig(BaseModel):
description="The reasoning effort to use when generating text reasoning models",
)
max_reasoning_tokens: int = Field(
- 0, description="Configurable thinking budget for extended thinking, only used if enable_reasoner is True. Minimum value is 1024."
+ 0,
+ description="Configurable thinking budget for extended thinking. Used for enable_reasoner and also for Google Vertex models like Gemini 2.5 Flash. Minimum value is 1024 when used with enable_reasoner.",
)
# FIXME hack to silence pydantic protected namespace warning
diff --git a/letta/schemas/providers.py b/letta/schemas/providers.py
index c9455b47..be4ce776 100644
--- a/letta/schemas/providers.py
+++ b/letta/schemas/providers.py
@@ -291,7 +291,7 @@ class OpenAIProvider(Provider):
# for openai, filter models
if self.base_url == "https://api.openai.com/v1":
- allowed_types = ["gpt-4", "o1", "o3"]
+ allowed_types = ["gpt-4", "o1", "o3", "o4"]
# NOTE: o1-mini and o1-preview do not support tool calling
# NOTE: o1-pro is only available in Responses API
disallowed_types = ["transcribe", "search", "realtime", "tts", "audio", "computer", "o1-mini", "o1-preview", "o1-pro"]
diff --git a/letta/server/rest_api/routers/openai/chat_completions/chat_completions.py b/letta/server/rest_api/routers/openai/chat_completions/chat_completions.py
index 86a0b54f..75579145 100644
--- a/letta/server/rest_api/routers/openai/chat_completions/chat_completions.py
+++ b/letta/server/rest_api/routers/openai/chat_completions/chat_completions.py
@@ -30,9 +30,7 @@ logger = get_logger(__name__)
responses={
200: {
"description": "Successful response",
- "content": {
- "text/event-stream": {"description": "Server-Sent Events stream"},
- },
+ "content": {"text/event-stream": {}},
}
},
)
diff --git a/letta/server/rest_api/routers/v1/tools.py b/letta/server/rest_api/routers/v1/tools.py
index 98e6f300..3ecd4249 100644
--- a/letta/server/rest_api/routers/v1/tools.py
+++ b/letta/server/rest_api/routers/v1/tools.py
@@ -98,6 +98,21 @@ async def list_tools(
raise HTTPException(status_code=500, detail=str(e))
+@router.get("/count", response_model=int, operation_id="count_tools")
+def count_tools(
+ server: SyncServer = Depends(get_letta_server),
+ actor_id: Optional[str] = Header(None, alias="user_id"),
+):
+ """
+ Get a count of all tools available to agents belonging to the org of the user
+ """
+ try:
+ return server.tool_manager.size(actor=server.user_manager.get_user_or_default(user_id=actor_id))
+ except Exception as e:
+ print(f"Error occurred: {e}")
+ raise HTTPException(status_code=500, detail=str(e))
+
+
@router.post("/", response_model=Tool, operation_id="create_tool")
async def create_tool(
request: ToolCreate = Body(...),
diff --git a/letta/server/rest_api/routers/v1/voice.py b/letta/server/rest_api/routers/v1/voice.py
index e147eca4..0bf75709 100644
--- a/letta/server/rest_api/routers/v1/voice.py
+++ b/letta/server/rest_api/routers/v1/voice.py
@@ -25,9 +25,7 @@ logger = get_logger(__name__)
responses={
200: {
"description": "Successful response",
- "content": {
- "text/event-stream": {"description": "Server-Sent Events stream"},
- },
+ "content": {"text/event-stream": {}},
}
},
)
diff --git a/letta/services/agent_manager.py b/letta/services/agent_manager.py
index 554ea0ab..8f3309a3 100644
--- a/letta/services/agent_manager.py
+++ b/letta/services/agent_manager.py
@@ -2629,7 +2629,7 @@ class AgentManager:
agent_state = await self.rebuild_system_prompt_async(agent_id=agent_id, actor=actor, force=True)
calculator = ContextWindowCalculator()
- if os.getenv("LETTA_ENVIRONMENT") == "PRODUCTION" or agent_state.llm_config.model_endpoint_type == "anthropic":
+ if os.getenv("LETTA_ENVIRONMENT") == "PRODUCTION" and agent_state.llm_config.model_endpoint_type == "anthropic":
anthropic_client = LLMClient.create(provider_type=ProviderType.anthropic, actor=actor)
model = agent_state.llm_config.model if agent_state.llm_config.model_endpoint_type == "anthropic" else None
diff --git a/letta/services/user_manager.py b/letta/services/user_manager.py
index 306ec7f0..0ed58b4d 100644
--- a/letta/services/user_manager.py
+++ b/letta/services/user_manager.py
@@ -14,6 +14,7 @@ from letta.schemas.user import User as PydanticUser
from letta.schemas.user import UserUpdate
from letta.server.db import db_registry
from letta.utils import enforce_types
+from letta.settings import settings
logger = get_logger(__name__)
@@ -157,13 +158,15 @@ class UserManager:
"""Fetch a user by ID asynchronously."""
async with db_registry.async_session() as session:
# Turn off seqscan to force use pk index
- await session.execute(text("SET LOCAL enable_seqscan = OFF"))
+ if settings.letta_pg_uri_no_default:
+ await session.execute(text("SET LOCAL enable_seqscan = OFF"))
try:
stmt = select(UserModel).where(UserModel.id == actor_id)
result = await session.execute(stmt)
user = result.scalar_one_or_none()
finally:
- await session.execute(text("SET LOCAL enable_seqscan = ON"))
+ if settings.letta_pg_uri_no_default:
+ await session.execute(text("SET LOCAL enable_seqscan = ON"))
if not user:
raise NoResultFound(f"User not found with id={actor_id}")
diff --git a/poetry.lock b/poetry.lock
index eb4c6066..25cc8ecc 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -14,97 +14,102 @@ files = [
[[package]]
name = "aiohttp"
-version = "3.11.16"
+version = "3.12.9"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.9"
groups = ["main"]
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aiosignal = ">=1.1.2"
async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
attrs = ">=17.3.0"
@@ -114,7 +119,7 @@ propcache = ">=0.2.0"
yarl = ">=1.17.0,<2.0"
[package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "brotlicffi ; platform_python_implementation != \"CPython\""]
[[package]]
name = "aiomultiprocess"
@@ -147,21 +152,41 @@ files = [
[package.dependencies]
frozenlist = ">=1.1.0"
+[[package]]
+name = "aiosqlite"
+version = "0.21.0"
+description = "asyncio bridge to the standard sqlite3 module"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+
+[package.dependencies]
+typing_extensions = ">=4.0"
+
+[package.extras]
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+docs = ["sphinx (==8.1.3)", "sphinx-mdinclude (==0.6.1)"]
+
[[package]]
name = "alembic"
-version = "1.15.2"
+version = "1.16.1"
description = "A database migration tool for SQLAlchemy."
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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[package.dependencies]
Mako = "*"
SQLAlchemy = ">=1.4.0"
+tomli = {version = "*", markers = "python_version < \"3.11\""}
typing-extensions = ">=4.12"
[package.extras]
@@ -332,15 +357,28 @@ typing_extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
name = "async-timeout"
version = "4.0.3"
description = "Timeout context manager for asyncio programs"
-optional = true
+optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "(extra == \"redis\" or extra == \"all\") and python_full_version < \"3.11.3\" or python_version == \"3.10\""
+markers = "python_version == \"3.10\""
files = [
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]
+[[package]]
+name = "async-timeout"
+version = "5.0.1"
+description = "Timeout context manager for asyncio programs"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "(extra == \"redis\" or extra == \"all\") and python_full_version < \"3.11.3\" and python_version == \"3.11\""
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+
[[package]]
name = "asyncpg"
version = "0.30.0"
@@ -448,14 +486,14 @@ tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
[[package]]
name = "banks"
-version = "2.1.1"
+version = "2.1.2"
description = "A prompt programming language"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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@@ -535,14 +573,14 @@ typecheck = ["mypy"]
[[package]]
name = "beautifulsoup4"
-version = "4.13.3"
+version = "4.13.4"
description = "Screen-scraping library"
optional = false
python-versions = ">=3.7.0"
groups = ["main"]
files = [
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[package.dependencies]
@@ -556,6 +594,19 @@ charset-normalizer = ["charset-normalizer"]
html5lib = ["html5lib"]
lxml = ["lxml"]
+[[package]]
+name = "bidict"
+version = "0.23.1"
+description = "The bidirectional mapping library for Python."
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"dev\" or extra == \"desktop\" or extra == \"all\""
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[[package]]
name = "black"
version = "24.10.0"
@@ -620,36 +671,36 @@ files = [
[[package]]
name = "boto3"
-version = "1.37.31"
+version = "1.38.32"
description = "The AWS SDK for Python"
optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
groups = ["main"]
markers = "extra == \"bedrock\""
files = [
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+botocore = ">=1.38.32,<1.39.0"
jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.11.0,<0.12.0"
+s3transfer = ">=0.13.0,<0.14.0"
[package.extras]
crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
-version = "1.37.31"
+version = "1.38.32"
description = "Low-level, data-driven core of boto 3."
optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
groups = ["main"]
markers = "extra == \"bedrock\""
files = [
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name = "certifi"
-version = "2025.1.31"
+version = "2025.4.26"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
groups = ["main"]
files = [
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name = "charset-normalizer"
-version = "3.4.1"
+version = "3.4.2"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7"
groups = ["main"]
files = [
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optional = false
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description = "Core package to act as a bridge between composio platform and other services."
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paramiko = ">=3.4.1"
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pydantic = ">=2.6.4"
pyperclip = ">=1.8.2,<2"
pysher = "1.0.8"
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description = "Lightweight pipelining with Python functions"
optional = false
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description = "An implementation of JSON Schema validation for Python"
optional = false
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[[package]]
name = "jsonschema-specifications"
-version = "2024.10.1"
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python-versions = ">=3.9"
groups = ["main"]
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python-versions = ">=3.8"
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name = "langchain"
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description = "Building applications with LLMs through composability"
optional = true
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markers = "extra == \"external-tools\" or extra == \"desktop\" or extra == \"all\""
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langchain-text-splitters = ">=0.3.8,<1.0.0"
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pydantic = ">=2.7.4,<3.0.0"
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optional = true
python-versions = "<4.0,>=3.9"
groups = ["main"]
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SQLAlchemy = ">=1.4,<3"
tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
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optional = true
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groups = ["main"]
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PyYAML = ">=5.3"
tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
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description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = true
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markers = "extra == \"external-tools\" or extra == \"desktop\" or extra == \"all\""
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description = ""
optional = false
python-versions = "<4,>=3.8"
groups = ["main"]
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+ {file = "yarl-1.20.0.tar.gz", hash = "sha256:686d51e51ee5dfe62dec86e4866ee0e9ed66df700d55c828a615640adc885307"},
]
[package.dependencies]
@@ -7576,14 +7863,14 @@ propcache = ">=0.2.1"
[[package]]
name = "zipp"
-version = "3.21.0"
+version = "3.22.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
- {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
- {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
+ {file = "zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343"},
+ {file = "zipp-3.22.0.tar.gz", hash = "sha256:dd2f28c3ce4bc67507bfd3781d21b7bb2be31103b51a4553ad7d90b84e57ace5"},
]
[package.extras]
@@ -7591,7 +7878,7 @@ check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"
cover = ["pytest-cov"]
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib_resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
type = ["pytest-mypy"]
[[package]]
diff --git a/pyproject.toml b/pyproject.toml
index 607fd1ff..b27e0a4d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "letta"
-version = "0.7.14"
+version = "0.8.4"
packages = [
{include = "letta"},
]
@@ -97,6 +97,7 @@ uvloop = {version = "^0.21.0", optional = true}
granian = {version = "^2.3.2", extras = ["uvloop", "reload"], optional = true}
redis = {version = "^6.2.0", optional = true}
structlog = "^25.4.0"
+aiosqlite = "^0.21.0"
[tool.poetry.extras]
@@ -113,6 +114,7 @@ google = ["google-genai"]
desktop = ["pgvector", "pg8000", "psycopg2-binary", "psycopg2", "pyright", "websockets", "fastapi", "uvicorn", "docker", "langchain", "wikipedia", "langchain-community", "locust"]
all = ["pgvector", "pg8000", "psycopg2-binary", "psycopg2", "pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "pyright", "pytest-order", "autoflake", "isort", "websockets", "fastapi", "uvicorn", "docker", "langchain", "wikipedia", "langchain-community", "locust", "uvloop", "granian", "redis"]
+
[tool.poetry.group.dev.dependencies]
black = "^24.4.2"
ipykernel = "^6.29.5"
diff --git a/scripts/docker-compose.yml b/scripts/docker-compose.yml
new file mode 100644
index 00000000..3347d213
--- /dev/null
+++ b/scripts/docker-compose.yml
@@ -0,0 +1,32 @@
+version: '3.7'
+services:
+ redis:
+ image: redis:alpine
+ container_name: redis
+ healthcheck:
+ test: ['CMD-SHELL', 'redis-cli ping | grep PONG']
+ interval: 1s
+ timeout: 3s
+ retries: 5
+ ports:
+ - '6379:6379'
+ volumes:
+ - ./data/redis:/data
+ command: redis-server --appendonly yes
+ postgres:
+ image: ankane/pgvector
+ container_name: postgres
+ healthcheck:
+ test: ['CMD-SHELL', 'pg_isready -U postgres']
+ interval: 1s
+ timeout: 3s
+ retries: 5
+ ports:
+ - '5432:5432'
+ environment:
+ POSTGRES_USER: postgres
+ POSTGRES_PASSWORD: postgres
+ POSTGRES_DB: letta
+ volumes:
+ - ./data/postgres:/var/lib/postgresql/data
+ - ./scripts/postgres-db-init/init.sql:/docker-entrypoint-initdb.d/init.sql
diff --git a/tests/integration_test_sleeptime_agent.py b/tests/integration_test_sleeptime_agent.py
index 8e87643c..14b288e4 100644
--- a/tests/integration_test_sleeptime_agent.py
+++ b/tests/integration_test_sleeptime_agent.py
@@ -156,6 +156,7 @@ async def test_sleeptime_group_chat(server, actor):
# 6. Verify run status after sleep
time.sleep(2)
+
for run_id in run_ids:
job = server.job_manager.get_job_by_id(job_id=run_id, actor=actor)
assert job.status == JobStatus.running or job.status == JobStatus.completed
diff --git a/tests/test_base_functions.py b/tests/test_base_functions.py
index f267c61d..7ba28ee9 100644
--- a/tests/test_base_functions.py
+++ b/tests/test_base_functions.py
@@ -151,6 +151,7 @@ def test_archival(agent_obj):
def test_recall(server, agent_obj, default_user):
"""Test that an agent can recall messages using a keyword via conversation search."""
keyword = "banana"
+ "".join(reversed(keyword))
# Send messages
for msg in ["hello", keyword, "tell me a fun fact"]:
diff --git a/tests/test_tool_sandbox/restaurant_management_system/adjust_menu_prices.py b/tests/test_tool_sandbox/restaurant_management_system/adjust_menu_prices.py
index 1d3d9d3e..ffe734b3 100644
--- a/tests/test_tool_sandbox/restaurant_management_system/adjust_menu_prices.py
+++ b/tests/test_tool_sandbox/restaurant_management_system/adjust_menu_prices.py
@@ -8,10 +8,9 @@ def adjust_menu_prices(percentage: float) -> str:
str: A formatted string summarizing the price adjustments.
"""
import cowsay
- from tqdm import tqdm
-
from core.menu import Menu, MenuItem # Import a class from the codebase
from core.utils import format_currency # Use a utility function to test imports
+ from tqdm import tqdm
if not isinstance(percentage, (int, float)):
raise TypeError("percentage must be a number")