feat: integrate learning-sdk into slackbot for persistent memory (#1249)

- add letta_api_key_secret_name setting and load LETTA_API_KEY env var
- wrap agent run with learning() context for per-user memory
- add agentic-learning dependency

each slack user gets their own memory agent (slackbot-{user_id})

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude <noreply@anthropic.com>

Author: zzstoatzz

examples/slackbot/pyproject.toml

@@ -42,6 +42,7 @@ dependencies = [
   "raggy[tpuf] @ git+https://github.com/zzstoatzz/raggy.git",
   "pretty-mod",
   "claude-agent-sdk",
+  "agentic-learning",
 ]
 
 

examples/slackbot/src/slackbot/api.py

@@ -5,6 +5,7 @@
 from contextlib import asynccontextmanager
 from typing import Any
 
+from agentic_learning import learning
 from fastapi import FastAPI, HTTPException, Request
 from prefect import Flow, State, flow, get_run_logger, task
 from prefect.blocks.notifications import SlackWebhook
@@ -100,11 +101,13 @@ async def run_agent(
                 settings=decorator_settings,
                 max_tool_calls=settings.max_tool_calls_per_turn,
             ):
-                result = await create_agent(model=settings.model_name).run(
-                    user_prompt=cleaned_message,
-                    message_history=conversation,
-                    deps=user_context,
-                )
+                # wrap agent run with learning context for persistent memory
+                with learning(agent=f"slackbot-{user_context['user_id']}"):
+                    result = await create_agent(model=settings.model_name).run(
+                        user_prompt=cleaned_message,
+                        message_history=conversation,
+                        deps=user_context,
+                    )
         finally:
             _progress_message.reset(token)
             _tool_usage_counts.reset(counts_token)

examples/slackbot/src/slackbot/settings.py

@@ -3,6 +3,7 @@
 from typing import ClassVar, Literal
 
 from prefect.blocks.system import Secret
+from prefect.exceptions import ObjectNotFound
 from prefect.variables import Variable
 from pydantic import Field, field_validator, model_validator
 from pydantic_settings import BaseSettings, SettingsConfigDict
@@ -56,6 +57,10 @@ def validate_log_level(cls, v: str) -> str:
         default="anthropic-api-key",
         description="Name of the Prefect secret block containing Anthropic API key",
     )
+    letta_api_key_secret_name: str = Field(
+        default="letta-api-key",
+        description="Name of the Prefect secret block containing Letta API key",
+    )
 
     vector_store_type: Literal["turbopuffer"] = Field(
         default="turbopuffer", description="Type of vector store to use"
@@ -94,6 +99,12 @@ def _apply_post_validation_defaults(self) -> "SlackbotSettings":
                 os.environ["TURBOPUFFER_API_KEY"] = api_key
             except Exception:
                 pass  # If secret doesn't exist, turbopuffer will handle the error
+        if not os.getenv("LETTA_API_KEY"):
+            try:
+                api_key = Secret.load(self.letta_api_key_secret_name, _sync=True).get()  # type: ignore
+                os.environ["LETTA_API_KEY"] = api_key
+            except ObjectNotFound:
+                pass  # If secret doesn't exist, learning-sdk won't be used
         if not self.admin_slack_user_id:
             self.admin_slack_user_id = Variable.get("admin-slack-id", _sync=True)
         return self

pyproject.toml

@@ -96,6 +96,9 @@ extend-select = ["I"]
 [tool.ruff.lint.per-file-ignores]
 "__init__.py" = ["F401", "I001", "RUF013"]
 
+[tool.uv]
+prerelease = "allow"
+
 [tool.uv.sources]
 slackbot = { workspace = true }