Documentation Index
Fetch the complete documentation index at: https://docs.lyzr.ai/llms.txt
Use this file to discover all available pages before exploring further.
The context() method assembles LLM-ready context by combining recent conversation messages (short-term) with semantically relevant memories (long-term) — all server-side. Use it instead of manually calling search() and formatting results.
Basic Usage
from lyzr import Cognis, CognisMessage
cog = Cognis()
context = cog.context(
current_messages=[
CognisMessage(role="user", content="What should I do this weekend?"),
],
owner_id="user_alice",
session_id="sess_001",
)
# Use in your LLM prompt
print(context)
from cognis import Cognis
m = Cognis(owner_id="user_alice")
ctx = m.get_context(
messages=[{"role": "user", "content": "What should I do this weekend?"}],
)
# ctx["context_string"] — formatted for LLM injection
# ctx["short_term"] — recent session messages
# ctx["long_term"] — relevant extracted memories
print(ctx["context_string"])
m.close()
Parameters (Hosted)
| Parameter | Type | Default | Description |
|---|
current_messages | List[Dict | CognisMessage] | Required | Current turn messages |
owner_id | str | None | User/tenant scope |
session_id | str | None | Session scope |
agent_id | str | None | Agent scope |
max_short_term_messages | int | 30 | Max recent messages to include |
enable_long_term_memory | bool | True | Include semantic search results |
cross_session | bool | False | Search memories across all sessions |
With an LLM
import openai
from lyzr import Cognis, CognisMessage
cog = Cognis()
user_msg = "What should I cook tonight?"
context = cog.context(
current_messages=[CognisMessage(role="user", content=user_msg)],
owner_id="user_alice",
session_id="dinner_chat",
enable_long_term_memory=True,
)
response = openai.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "system", "content": f"You are a helpful assistant.\n\n{context}"},
{"role": "user", "content": user_msg},
],
)
Async
context = await cog.acontext(
current_messages=[CognisMessage(role="user", content="Hello")],
owner_id="user_alice",
)
