cookbook/03_teams/06_memory/TEST_LOG.md
Status: PASS
none
Status: PASS
Description: Example execution attempt
Result: DEBUG ****** Team ID: 9ab5437c-92ef-456e-bea7-cc3790bdecf9 *******
DEBUG ***** Session ID: 50901507-8b74-40cb-ad39-94bef3be00f9 *****
DEBUG Creating new TeamSession: 50901507-8b74-40cb-ad39-94bef3be00f9
DEBUG *** Team Run Start: 06d51580-1cde-4fef-9963-b492e6047d7c ***
DEBUG Processing tools for model
DEBUG Added tool delegate_task_to_member
DEBUG Starting memory creation in background thread.
DEBUG Managing user memories
DEBUG --------------- OpenAI Response Stream Start ---------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You coordinate a team of specialized AI agents to fulfill the user's
request. Delegate to members when their expertise or tools are needed. For
straightforward requests you can handle directly — including using your
own tools — respond without delegating.
<team_members>
<member id="b46cb6c8-d94d-4c4f-b366-d7a9b2b51870" name="None">
</member>
</team_members>
<how_to_respond>
You operate in coordinate mode. For requests that need member expertise,
select the best member(s), delegate with clear task descriptions, and
synthesize their outputs into a unified response. For requests you can
handle directly — simple questions, using your own tools, or general
conversation — respond without delegating.
Delegation:
- Match each sub-task to the member whose role and tools are the best fit.
Delegate to multiple members when the request spans different areas of
expertise.
- Write task descriptions that are self-contained: state the goal, provide
relevant context from the conversation, and describe what a good result
looks like.
- Use only the member's ID when delegating — do not prefix it with the
team ID.
After receiving member responses:
- If a response is incomplete or off-target, re-delegate with clearer
instructions or try a different member.
- Synthesize all results into a single coherent response. Resolve
contradictions, fill gaps with your own reasoning, and add structure — do
not simply concatenate member outputs.
</how_to_respond>
You have access to user info and preferences from previous interactions
that you can use to personalize your response:
<memories_from_previous_interactions>
- User's name is John Doe; likes to hike in the mountains on weekends
(hobby: weekend mountain hiking).
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
</memories_from_previous_interactions>
Note: this information is from previous interactions and may be updated in
this conversation. You should always prefer information from this
conversation over the past memories.
DEBUG =========================== user ===========================
DEBUG My name is John Doe and I like to hike in the mountains on weekends.
DEBUG ******************* MemoryManager Start ********************
DEBUG Added function add_memory
DEBUG Added function update_memory
DEBUG Added function delete_memory
DEBUG ------------------ OpenAI Response Start -------------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You are a Memory Manager that is responsible for managing information and
preferences about the user. You will be provided with a criteria for
memories to capture in the <memories_to_capture> section and a list of
existing memories in the <existing_memories> section.
## When to add or update memories
- Your first task is to decide if a memory needs to be added, updated, or
deleted based on the user's message OR if no changes are needed.
- If the user's message meets the criteria in the <memories_to_capture>
section and that information is not already captured in the
<existing_memories> section, you should capture it as a memory.
- If the users messages does not meet the criteria in the
<memories_to_capture> section, no memory updates are needed.
- If the existing memories in the <existing_memories> section capture all
relevant information, no memory updates are needed.
## How to add or update memories
- If you decide to add a new memory, create memories that captures key
information, as if you were storing it for future reference.
- Memories should be a brief, third-person statements that encapsulate the
most important aspect of the user's input, without adding any extraneous
information.
- Example: If the user's message is 'I'm going to the gym', a memory
could be `John Doe goes to the gym regularly`.
- Example: If the user's message is 'My name is John Doe', a memory
could be `User's name is John Doe`.
- Don't make a single memory too long or complex, create multiple memories
if needed to capture all the information.
- Don't repeat the same information in multiple memories. Rather update
existing memories if needed.
- If a user asks for a memory to be updated or forgotten, remove all
reference to the information that should be forgotten. Don't say 'The user
used to like ...`
- When updating a memory, append the existing memory with new information
rather than completely overwriting it.
- When a user's preferences change, update the relevant memories to
reflect the new preferences but also capture what the user's preferences
used to be and what has changed.
## Criteria for creating memories
Use the following criteria to determine if a user's message should be
captured as a memory.
<memories_to_capture>
Memories should capture personal information about the user that is
relevant to the current conversation, such as:
- Personal facts: name, age, occupation, location, interests, and
preferences
- Opinions and preferences: what the user likes, dislikes, enjoys, or
finds frustrating
- Significant life events or experiences shared by the user
- Important context about the user's current situation, challenges, or
goals
- Any other details that offer meaningful insight into the user's
personality, perspective, or needs
</memories_to_capture>
## Updating memories
You will also be provided with a list of existing memories in the
<existing_memories> section. You can:
- Decide to make no changes.
- Decide to add a new memory, using the `add_memory` tool.
- Decide to update an existing memory, using the `update_memory` tool.
- Decide to delete an existing memory, using the `delete_memory` tool.
You can call multiple tools in a single response if needed.
Only add or update memories if it is necessary to capture key information
provided by the user.
<existing_memories>
ID: fe149250-1a0b-408c-bf5d-a0f31daf8617
Memory: User's name is John Doe; likes to hike in the mountains on
weekends (hobby: weekend mountain hiking).
ID: 68fd7cb3-1172-42ad-8a84-2927424057c4
Memory: Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
ID: 12e95a60-9e93-4842-8a62-56520e1251b6
Memory: Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
ID: 3671a5fe-c0ba-428e-b2b6-fae2bb7f88da
Memory: Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
</existing_memories>
DEBUG =========================== user ===========================
DEBUG My name is John Doe and I like to hike in the mountains on weekends.
DEBUG ======================== assistant =========================
DEBUG Thanks — I already have that stored: "User's name is John Doe; likes to
hike in the mountains on weekends." No memory updates needed.
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=1138, output=254, total=1392,
reasoning=192
DEBUG * Duration: 2.8483s
DEBUG * Tokens per second: 89.1751 tokens/s
DEBUG ************************ METRICS *************************
DEBUG ------------------- OpenAI Response End --------------------
DEBUG ******************** MemoryManager End *********************
DEBUG ======================== assistant =========================
DEBUG Nice to meet you, John — thanks for telling me. I can remember that you
like to hike in the mountains on weekends so I can personalize future
help.
Do you want me to save that as a memory? (If yes, I’ll use it to tailor
suggestions, reminders, packing lists, trail recommendations, etc.)
If you’d like help right now, tell me which you want:
- Save this as a memory
- Recommend nearby mountain hikes (tell me your region/city)
- Create a weekend hiking packing checklist
- Plan a 1-day or multi-day hike (difficulty, distance you prefer)
- Safety/prep tips and weather-check routine
Which one would you like first?
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=629, output=463, total=1092,
reasoning=256
DEBUG ************************ METRICS *************************
DEBUG ---------------- OpenAI Response Stream End ----------------
DEBUG Added RunOutput to Team Session
DEBUG Created or updated TeamSession record:
50901507-8b74-40cb-ad39-94bef3be00f9
DEBUG **** Team Run End: 06d51580-1cde-4fef-9963-b492e6047d7c ****
┏━ Message ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ My name is John Doe and I like to hike in the mountains on weekends. ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Response (6.7s) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ Nice to meet you, John — thanks for telling me. I can remember that you like ┃
┃ to hike in the mountains on weekends so I can personalize future help. ┃
┃ ┃
┃ Do you want me to save that as a memory? (If yes, I’ll use it to tailor ┃
┃ suggestions, reminders, packing lists, trail recommendations, etc.) ┃
┃ ┃
┃ If you’d like help right now, tell me which you want: ┃
┃ - Save this as a memory ┃
┃ - Recommend nearby mountain hikes (tell me your region/city) ┃
┃ - Create a weekend hiking packing checklist ┃
┃ - Plan a 1-day or multi-day hike (difficulty, distance you prefer) ┃
┃ - Safety/prep tips and weather-check routine ┃
┃ ┃
┃ Which one would you like first? ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛DEBUG ****** Team ID: 9ab5437c-92ef-456e-bea7-cc3790bdecf9 *******
DEBUG ***** Session ID: 50901507-8b74-40cb-ad39-94bef3be00f9 *****
DEBUG *** Team Run Start: beae44ac-5968-4c97-ae55-ef9b63ed1781 ***
DEBUG Processing tools for model
DEBUG Added tool delegate_task_to_member
DEBUG Starting memory creation in background thread.
DEBUG --------------- OpenAI Response Stream Start ---------------
DEBUG Managing user memories
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You coordinate a team of specialized AI agents to fulfill the user's
request. Delegate to members when their expertise or tools are needed. For
straightforward requests you can handle directly — including using your
own tools — respond without delegating.
<team_members>
<member id="b46cb6c8-d94d-4c4f-b366-d7a9b2b51870" name="None">
</member>
</team_members>
<how_to_respond>
You operate in coordinate mode. For requests that need member expertise,
select the best member(s), delegate with clear task descriptions, and
synthesize their outputs into a unified response. For requests you can
handle directly — simple questions, using your own tools, or general
conversation — respond without delegating.
Delegation:
- Match each sub-task to the member whose role and tools are the best fit.
Delegate to multiple members when the request spans different areas of
expertise.
- Write task descriptions that are self-contained: state the goal, provide
relevant context from the conversation, and describe what a good result
looks like.
- Use only the member's ID when delegating — do not prefix it with the
team ID.
After receiving member responses:
- If a response is incomplete or off-target, re-delegate with clearer
instructions or try a different member.
- Synthesize all results into a single coherent response. Resolve
contradictions, fill gaps with your own reasoning, and add structure — do
not simply concatenate member outputs.
</how_to_respond>
You have access to user info and preferences from previous interactions
that you can use to personalize your response:
<memories_from_previous_interactions>
- User's name is John Doe; likes to hike in the mountains on weekends
(hobby: weekend mountain hiking).
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
</memories_from_previous_interactions>
Note: this information is from previous interactions and may be updated in
this conversation. You should always prefer information from this
conversation over the past memories.
DEBUG =========================== user ===========================
DEBUG What are my hobbies?
DEBUG ******************* MemoryManager Start ********************
DEBUG Added function add_memory
DEBUG Added function update_memory
DEBUG Added function delete_memory
DEBUG ------------------ OpenAI Response Start -------------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You are a Memory Manager that is responsible for managing information and
preferences about the user. You will be provided with a criteria for
memories to capture in the <memories_to_capture> section and a list of
existing memories in the <existing_memories> section.
## When to add or update memories
- Your first task is to decide if a memory needs to be added, updated, or
deleted based on the user's message OR if no changes are needed.
- If the user's message meets the criteria in the <memories_to_capture>
section and that information is not already captured in the
<existing_memories> section, you should capture it as a memory.
- If the users messages does not meet the criteria in the
<memories_to_capture> section, no memory updates are needed.
- If the existing memories in the <existing_memories> section capture all
relevant information, no memory updates are needed.
## How to add or update memories
- If you decide to add a new memory, create memories that captures key
information, as if you were storing it for future reference.
- Memories should be a brief, third-person statements that encapsulate the
most important aspect of the user's input, without adding any extraneous
information.
- Example: If the user's message is 'I'm going to the gym', a memory
could be `John Doe goes to the gym regularly`.
- Example: If the user's message is 'My name is John Doe', a memory
could be `User's name is John Doe`.
- Don't make a single memory too long or complex, create multiple memories
if needed to capture all the information.
- Don't repeat the same information in multiple memories. Rather update
existing memories if needed.
- If a user asks for a memory to be updated or forgotten, remove all
reference to the information that should be forgotten. Don't say 'The user
used to like ...`
- When updating a memory, append the existing memory with new information
rather than completely overwriting it.
- When a user's preferences change, update the relevant memories to
reflect the new preferences but also capture what the user's preferences
used to be and what has changed.
## Criteria for creating memories
Use the following criteria to determine if a user's message should be
captured as a memory.
<memories_to_capture>
Memories should capture personal information about the user that is
relevant to the current conversation, such as:
- Personal facts: name, age, occupation, location, interests, and
preferences
- Opinions and preferences: what the user likes, dislikes, enjoys, or
finds frustrating
- Significant life events or experiences shared by the user
- Important context about the user's current situation, challenges, or
goals
- Any other details that offer meaningful insight into the user's
personality, perspective, or needs
</memories_to_capture>
## Updating memories
You will also be provided with a list of existing memories in the
<existing_memories> section. You can:
- Decide to make no changes.
- Decide to add a new memory, using the `add_memory` tool.
- Decide to update an existing memory, using the `update_memory` tool.
- Decide to delete an existing memory, using the `delete_memory` tool.
You can call multiple tools in a single response if needed.
Only add or update memories if it is necessary to capture key information
provided by the user.
<existing_memories>
ID: fe149250-1a0b-408c-bf5d-a0f31daf8617
Memory: User's name is John Doe; likes to hike in the mountains on
weekends (hobby: weekend mountain hiking).
ID: 68fd7cb3-1172-42ad-8a84-2927424057c4
Memory: Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
ID: 12e95a60-9e93-4842-8a62-56520e1251b6
Memory: Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
ID: 3671a5fe-c0ba-428e-b2b6-fae2bb7f88da
Memory: Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
</existing_memories>
DEBUG =========================== user ===========================
DEBUG What are my hobbies?
DEBUG ======================== assistant =========================
DEBUG From my records, you enjoy hiking in the mountains on weekends. Is that
correct? Would you like me to add any other hobbies to remember?
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=618, output=246, total=864,
reasoning=192
DEBUG ************************ METRICS *************************
DEBUG ---------------- OpenAI Response Stream End ----------------
DEBUG ======================== assistant =========================
DEBUG According to your saved info, you enjoy hiking in the mountains on
weekends. Would you like me to add any other hobbies or update this?
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=1127, output=255, total=1382,
reasoning=192
DEBUG * Duration: 2.7828s
DEBUG * Tokens per second: 91.6339 tokens/s
DEBUG ************************ METRICS *************************
DEBUG ------------------- OpenAI Response End --------------------
DEBUG ******************** MemoryManager End *********************
DEBUG Added RunOutput to Team Session
DEBUG Created or updated TeamSession record:
50901507-8b74-40cb-ad39-94bef3be00f9
DEBUG **** Team Run End: beae44ac-5968-4c97-ae55-ef9b63ed1781 ****
┏━ Message ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ What are my hobbies? ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Response (3.4s) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ From my records, you enjoy hiking in the mountains on weekends. Is that ┃
┃ correct? Would you like me to add any other hobbies to remember? ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛John Doe's memories:
[
│ UserMemory(
│ │ memory="User's name is John Doe; likes to hike in the mountains on weekends (hobby: weekend mountain hiking).",
│ │ memory_id='fe149250-1a0b-408c-bf5d-a0f31daf8617',
│ │ topics=['name', 'hobbies'],
│ │ user_id='[email protected]',
│ │ input="Add or update user memory: set user's name to 'John Doe' and note that he likes to hike in the mountains on weekends (hobby: weekend mountain hiking). Consolidate any duplicate existing entries into a single memory.",
│ │ created_at=1771115736,
│ │ updated_at=1771115814,
│ │ feedback=None,
│ │ agent_id=None,
│ │ team_id=None
│ ),
│ UserMemory(
│ │ memory='Duplicate memory — consolidated into memory fe149250-1a0b-408c-bf5d-a0f31daf8617.',
│ │ memory_id='68fd7cb3-1172-42ad-8a84-2927424057c4',
│ │ topics=['duplicate'],
│ │ user_id='[email protected]',
│ │ input="Add or update user memory: set user's name to 'John Doe' and note that he likes to hike in the mountains on weekends (hobby: weekend mountain hiking). Consolidate any duplicate existing entries into a single memory.",
│ │ created_at=1771115739,
│ │ updated_at=1771115814,
│ │ feedback=None,
│ │ agent_id=None,
│ │ team_id=None
│ ),
│ UserMemory(
│ │ memory='Duplicate memory — consolidated into memory fe149250-1a0b-408c-bf5d-a0f31daf8617.',
│ │ memory_id='12e95a60-9e93-4842-8a62-56520e1251b6',
│ │ topics=['duplicate'],
│ │ user_id='[email protected]',
│ │ input="Add or update user memory: set user's name to 'John Doe' and note that he likes to hike in the mountains on weekends (hobby: weekend mountain hiking). Consolidate any duplicate existing entries into a single memory.",
│ │ created_at=1771115736,
│ │ updated_at=1771115814,
│ │ feedback=None,
│ │ agent_id=None,
│ │ team_id=None
│ ),
│ UserMemory(
│ │ memory='Duplicate memory — consolidated into memory fe149250-1a0b-408c-bf5d-a0f31daf8617.',
│ │ memory_id='3671a5fe-c0ba-428e-b2b6-fae2bb7f88da',
│ │ topics=['duplicate'],
│ │ user_id='[email protected]',
│ │ input="Add or update user memory: set user's name to 'John Doe' and note that he likes to hike in the mountains on weekends (hobby: weekend mountain hiking). Consolidate any duplicate existing entries into a single memory.",
│ │ created_at=1771115739,
│ │ updated_at=1771115814,
│ │ feedback=None,
│ │ agent_id=None,
│ │ team_id=None
│ )
]
Status: PASS
Description: Example execution attempt
Result: DEBUG ****** Team ID: 8d8307ea-0a68-42a5-9793-e30777bb5914 *******
DEBUG ***** Session ID: f036d9dc-fef6-40a5-9dcb-c5ca7b460432 *****
DEBUG Creating new TeamSession: f036d9dc-fef6-40a5-9dcb-c5ca7b460432
DEBUG *** Team Run Start: 2c8b7a5e-a35a-48f4-94aa-931229f7b826 ***
DEBUG Processing tools for model
DEBUG Added tool update_user_memory
DEBUG Added tool delegate_task_to_member
DEBUG --------------- OpenAI Response Stream Start ---------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You coordinate a team of specialized AI agents to fulfill the user's
request. Delegate to members when their expertise or tools are needed. For
straightforward requests you can handle directly — including using your
own tools — respond without delegating.
<team_members>
<member id="03497b7c-c2f5-4b73-8d66-0809d4d06549" name="None">
</member>
</team_members>
<how_to_respond>
You operate in coordinate mode. For requests that need member expertise,
select the best member(s), delegate with clear task descriptions, and
synthesize their outputs into a unified response. For requests you can
handle directly — simple questions, using your own tools, or general
conversation — respond without delegating.
Delegation:
- Match each sub-task to the member whose role and tools are the best fit.
Delegate to multiple members when the request spans different areas of
expertise.
- Write task descriptions that are self-contained: state the goal, provide
relevant context from the conversation, and describe what a good result
looks like.
- Use only the member's ID when delegating — do not prefix it with the
team ID.
After receiving member responses:
- If a response is incomplete or off-target, re-delegate with clearer
instructions or try a different member.
- Synthesize all results into a single coherent response. Resolve
contradictions, fill gaps with your own reasoning, and add structure — do
not simply concatenate member outputs.
</how_to_respond>
You have access to user info and preferences from previous interactions
that you can use to personalize your response:
<memories_from_previous_interactions>
- User's name is John Doe; likes to hike in the mountains on weekends
(hobby: weekend mountain hiking).
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
</memories_from_previous_interactions>
Note: this information is from previous interactions and may be updated in
this conversation. You should always prefer information from this
conversation over the past memories.
<updating_user_memories>
- You have access to the `update_user_memory` tool that you can use to add
new memories, update existing memories, delete memories, or clear all
memories.
- If the user's message includes information that should be captured as a
memory, use the `update_user_memory` tool to update your memory database.
- Memories should include details that could personalize ongoing
interactions with the user.
- Use this tool to add new memories or update existing memories that you
identify in the conversation.
- Use this tool if the user asks to update their memory, delete a memory,
or clear all memories.
- If you use the `update_user_memory` tool, remember to pass on the
response to the user.
</updating_user_memories>
DEBUG =========================== user ===========================
DEBUG My name is John Doe and I like to hike in the mountains on weekends.
DEBUG ======================== assistant =========================
DEBUG Tool Calls:
- ID: 'fc_092029b7427feb3a0069911abb89808195b88071ca8d5f1c40'
Name: 'update_user_memory'
Arguments: 'task: Add/update user memory: name = John Doe; hobby =
likes to hike in the mountains on weekends (weekend mountain hiking).
Ensure duplicate memory entries are consolidated and this information is
stored for personalization.'
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=858, output=272, total=1130,
reasoning=192
DEBUG ************************ METRICS *************************
DEBUG Running: update_user_memory(task=...)
DEBUG ******************* MemoryManager Start ********************
DEBUG Added function add_memory
DEBUG Added function update_memory
DEBUG ------------------ OpenAI Response Start -------------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You are a Memory Manager that is responsible for managing information and
preferences about the user. You will be provided with a criteria for
memories to capture in the <memories_to_capture> section and a list of
existing memories in the <existing_memories> section.
## When to add or update memories
- Your first task is to decide if a memory needs to be added, updated, or
deleted based on the user's message OR if no changes are needed.
- If the user's message meets the criteria in the <memories_to_capture>
section and that information is not already captured in the
<existing_memories> section, you should capture it as a memory.
- If the users messages does not meet the criteria in the
<memories_to_capture> section, no memory updates are needed.
- If the existing memories in the <existing_memories> section capture all
relevant information, no memory updates are needed.
## How to add or update memories
- If you decide to add a new memory, create memories that captures key
information, as if you were storing it for future reference.
- Memories should be a brief, third-person statements that encapsulate the
most important aspect of the user's input, without adding any extraneous
information.
- Example: If the user's message is 'I'm going to the gym', a memory
could be `John Doe goes to the gym regularly`.
- Example: If the user's message is 'My name is John Doe', a memory
could be `User's name is John Doe`.
- Don't make a single memory too long or complex, create multiple memories
if needed to capture all the information.
- Don't repeat the same information in multiple memories. Rather update
existing memories if needed.
- If a user asks for a memory to be updated or forgotten, remove all
reference to the information that should be forgotten. Don't say 'The user
used to like ...`
- When updating a memory, append the existing memory with new information
rather than completely overwriting it.
- When a user's preferences change, update the relevant memories to
reflect the new preferences but also capture what the user's preferences
used to be and what has changed.
## Criteria for creating memories
Use the following criteria to determine if a user's message should be
captured as a memory.
<memories_to_capture>
Memories should capture personal information about the user that is
relevant to the current conversation, such as:
- Personal facts: name, age, occupation, location, interests, and
preferences
- Opinions and preferences: what the user likes, dislikes, enjoys, or
finds frustrating
- Significant life events or experiences shared by the user
- Important context about the user's current situation, challenges, or
goals
- Any other details that offer meaningful insight into the user's
personality, perspective, or needs
</memories_to_capture>
## Updating memories
You will also be provided with a list of existing memories in the
<existing_memories> section. You can:
- Decide to make no changes.
- Decide to add a new memory, using the `add_memory` tool.
- Decide to update an existing memory, using the `update_memory` tool.
You can call multiple tools in a single response if needed.
Only add or update memories if it is necessary to capture key information
provided by the user.
<existing_memories>
ID: fe149250-1a0b-408c-bf5d-a0f31daf8617
Memory: User's name is John Doe; likes to hike in the mountains on
weekends (hobby: weekend mountain hiking).
ID: 68fd7cb3-1172-42ad-8a84-2927424057c4
Memory: Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
ID: 12e95a60-9e93-4842-8a62-56520e1251b6
Memory: Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
ID: 3671a5fe-c0ba-428e-b2b6-fae2bb7f88da
Memory: Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
</existing_memories>
DEBUG =========================== user ===========================
DEBUG Add/update user memory: name = John Doe; hobby = likes to hike in the
mountains on weekends (weekend mountain hiking). Ensure duplicate memory
entries are consolidated and this information is stored for
personalization.
DEBUG ======================== assistant =========================
DEBUG Confirmed — no changes needed. The user's name and hobby are already
stored in memory (ID: fe149250-1a0b-408c-bf5d-a0f31daf8617) as: "User's
name is John Doe; likes to hike in the mountains on weekends (hobby:
weekend mountain hiking)." Duplicate entries have been consolidated into
that memory. I will use this information for personalization.
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=1105, output=444, total=1549,
reasoning=320
DEBUG * Duration: 3.6953s
DEBUG * Tokens per second: 120.1513 tokens/s
DEBUG ************************ METRICS *************************
DEBUG ------------------- OpenAI Response End --------------------
DEBUG ******************** MemoryManager End *********************
DEBUG =========================== tool ===========================
DEBUG Tool call Id: call_BvtibbUXvU6ZjcJok113qd6K
DEBUG Confirmed — no changes needed. The user's name and hobby are already
stored in memory (ID: fe149250-1a0b-408c-bf5d-a0f31daf8617) as: "User's
name is John Doe; likes to hike in the mountains on weekends (hobby:
weekend mountain hiking)." Duplicate entries have been consolidated into
that memory. I will use this information for personalization.
DEBUG ********************** TOOL METRICS **********************
DEBUG * Duration: 3.7271s
DEBUG ********************** TOOL METRICS **********************
DEBUG Using previous_response_id:
resp_092029b7427feb3a0069911ab99f94819590617e91ca8852ee
DEBUG ======================== assistant =========================
DEBUG Thanks — I’ve confirmed your memory: your name is John Doe and you like to
hike in the mountains on weekends. I’ll use that to personalize future
conversations.
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=1227, output=37, total=1264
DEBUG ************************ METRICS *************************
DEBUG ---------------- OpenAI Response Stream End ----------------
DEBUG Added RunOutput to Team Session
DEBUG Created or updated TeamSession record:
f036d9dc-fef6-40a5-9dcb-c5ca7b460432
DEBUG **** Team Run End: 2c8b7a5e-a35a-48f4-94aa-931229f7b826 ****
┏━ Message ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ My name is John Doe and I like to hike in the mountains on weekends. ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Team Tool Calls ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ • update_user_memory(task=Add/update user memory: name = John Doe; hobby = ┃
┃ likes to hike in the mountains on ┃
┃ weekends (weekend mountain hiking). Ensure duplicate memory entries are ┃
┃ consolidated and this information is ┃
┃ stored for personalization.) ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Response (7.9s) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ Thanks — I’ve confirmed your memory: your name is John Doe and you like to ┃
┃ hike in the mountains on weekends. I’ll use that to personalize future ┃
┃ conversations. ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛DEBUG ****** Team ID: 8d8307ea-0a68-42a5-9793-e30777bb5914 *******
DEBUG ***** Session ID: f036d9dc-fef6-40a5-9dcb-c5ca7b460432 *****
DEBUG *** Team Run Start: abc8a091-1e86-4c3a-bb3a-e77026ae08ee ***
DEBUG Processing tools for model
DEBUG Added tool update_user_memory
DEBUG Added tool delegate_task_to_member
DEBUG --------------- OpenAI Response Stream Start ---------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You coordinate a team of specialized AI agents to fulfill the user's
request. Delegate to members when their expertise or tools are needed. For
straightforward requests you can handle directly — including using your
own tools — respond without delegating.
<team_members>
<member id="03497b7c-c2f5-4b73-8d66-0809d4d06549" name="None">
</member>
</team_members>
<how_to_respond>
You operate in coordinate mode. For requests that need member expertise,
select the best member(s), delegate with clear task descriptions, and
synthesize their outputs into a unified response. For requests you can
handle directly — simple questions, using your own tools, or general
conversation — respond without delegating.
Delegation:
- Match each sub-task to the member whose role and tools are the best fit.
Delegate to multiple members when the request spans different areas of
expertise.
- Write task descriptions that are self-contained: state the goal, provide
relevant context from the conversation, and describe what a good result
looks like.
- Use only the member's ID when delegating — do not prefix it with the
team ID.
After receiving member responses:
- If a response is incomplete or off-target, re-delegate with clearer
instructions or try a different member.
- Synthesize all results into a single coherent response. Resolve
contradictions, fill gaps with your own reasoning, and add structure — do
not simply concatenate member outputs.
</how_to_respond>
You have access to user info and preferences from previous interactions
that you can use to personalize your response:
<memories_from_previous_interactions>
- User's name is John Doe; likes to hike in the mountains on weekends
(hobby: weekend mountain hiking).
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
- Duplicate memory — consolidated into memory
fe149250-1a0b-408c-bf5d-a0f31daf8617.
</memories_from_previous_interactions>
Note: this information is from previous interactions and may be updated in
this conversation. You should always prefer information from this
conversation over the past memories.
<updating_user_memories>
- You have access to the `update_user_memory` tool that you can use to add
new memories, update existing memories, delete memories, or clear all
memories.
- If the user's message includes information that should be captured as a
memory, use the `update_user_memory` tool to update your memory database.
- Memories should include details that could personalize ongoing
interactions with the user.
- Use this tool to add new memories or update existing memories that you
identify in the conversation.
- Use this tool if the user asks to update their memory, delete a memory,
or clear all memories.
- If you use the `update_user_memory` tool, remember to pass on the
response to the user.
</updating_user_memories>
DEBUG =========================== user ===========================
DEBUG What are my hobbies?
DEBUG ======================== assistant =========================
DEBUG I have you listed as enjoying weekend mountain hiking (hiking in the
mountains on weekends). Is that right, or would you like to add or change
any hobbies?
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=847, output=235, total=1082,
reasoning=192
DEBUG ************************ METRICS *************************
DEBUG ---------------- OpenAI Response Stream End ----------------
DEBUG Added RunOutput to Team Session
DEBUG Created or updated TeamSession record:
f036d9dc-fef6-40a5-9dcb-c5ca7b460432
DEBUG **** Team Run End: abc8a091-1e86-4c3a-bb3a-e77026ae08ee ****
┏━ Message ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ What are my hobbies? ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Response (2.8s) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ I have you listed as enjoying weekend mountain hiking (hiking in the ┃
┃ mountains on weekends). Is that right, or would you like to add or change ┃
┃ any hobbies? ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
Status: PASS
Description: Example execution attempt
Result: DEBUG ************** Team ID: personal-memory-team ***************
DEBUG ***** Session ID: 67803e49-a0a7-4b23-b8cc-f57e80a357e4 *****
DEBUG Creating new TeamSession: 67803e49-a0a7-4b23-b8cc-f57e80a357e4
DEBUG *** Team Run Start: 0b8d54e0-3923-4999-94c4-0ec20e67a6ac ***
DEBUG Processing tools for model
DEBUG Added tool delegate_task_to_member
DEBUG Starting memory creation in background thread.
DEBUG Managing user memories
DEBUG --------------- OpenAI Response Stream Start ---------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You coordinate a team of specialized AI agents to fulfill the user's
request. Delegate to members when their expertise or tools are needed. For
straightforward requests you can handle directly — including using your
own tools — respond without delegating.
<team_members>
<member id="personal-assistant" name="Personal Assistant">
</member>
</team_members>
<how_to_respond>
You operate in coordinate mode. For requests that need member expertise,
select the best member(s), delegate with clear task descriptions, and
synthesize their outputs into a unified response. For requests you can
handle directly — simple questions, using your own tools, or general
conversation — respond without delegating.
Delegation:
- Match each sub-task to the member whose role and tools are the best fit.
Delegate to multiple members when the request spans different areas of
expertise.
- Write task descriptions that are self-contained: state the goal, provide
relevant context from the conversation, and describe what a good result
looks like.
- Use only the member's ID when delegating — do not prefix it with the
team ID.
After receiving member responses:
- If a response is incomplete or off-target, re-delegate with clearer
instructions or try a different member.
- Synthesize all results into a single coherent response. Resolve
contradictions, fill gaps with your own reasoning, and add structure — do
not simply concatenate member outputs.
</how_to_respond>
You have access to user info and preferences from previous interactions
that you can use to personalize your response:
<memories_from_previous_interactions>
- User's preferred coding language is Python.
- User likes weekend hikes.
</memories_from_previous_interactions>
Note: this information is from previous interactions and may be updated in
this conversation. You should always prefer information from this
conversation over the past memories.
DEBUG =========================== user ===========================
DEBUG ******************* MemoryManager Start ********************
DEBUG My preferred coding language is Python and I like weekend hikes.
DEBUG Added function add_memory
DEBUG Added function update_memory
DEBUG Added function delete_memory
DEBUG ------------------ OpenAI Response Start -------------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You are a Memory Manager that is responsible for managing information and
preferences about the user. You will be provided with a criteria for
memories to capture in the <memories_to_capture> section and a list of
existing memories in the <existing_memories> section.
## When to add or update memories
- Your first task is to decide if a memory needs to be added, updated, or
deleted based on the user's message OR if no changes are needed.
- If the user's message meets the criteria in the <memories_to_capture>
section and that information is not already captured in the
<existing_memories> section, you should capture it as a memory.
- If the users messages does not meet the criteria in the
<memories_to_capture> section, no memory updates are needed.
- If the existing memories in the <existing_memories> section capture all
relevant information, no memory updates are needed.
## How to add or update memories
- If you decide to add a new memory, create memories that captures key
information, as if you were storing it for future reference.
- Memories should be a brief, third-person statements that encapsulate the
most important aspect of the user's input, without adding any extraneous
information.
- Example: If the user's message is 'I'm going to the gym', a memory
could be `John Doe goes to the gym regularly`.
- Example: If the user's message is 'My name is John Doe', a memory
could be `User's name is John Doe`.
- Don't make a single memory too long or complex, create multiple memories
if needed to capture all the information.
- Don't repeat the same information in multiple memories. Rather update
existing memories if needed.
- If a user asks for a memory to be updated or forgotten, remove all
reference to the information that should be forgotten. Don't say 'The user
used to like ...`
- When updating a memory, append the existing memory with new information
rather than completely overwriting it.
- When a user's preferences change, update the relevant memories to
reflect the new preferences but also capture what the user's preferences
used to be and what has changed.
## Criteria for creating memories
Use the following criteria to determine if a user's message should be
captured as a memory.
<memories_to_capture>
Memories should capture personal information about the user that is
relevant to the current conversation, such as:
- Personal facts: name, age, occupation, location, interests, and
preferences
- Opinions and preferences: what the user likes, dislikes, enjoys, or
finds frustrating
- Significant life events or experiences shared by the user
- Important context about the user's current situation, challenges, or
goals
- Any other details that offer meaningful insight into the user's
personality, perspective, or needs
</memories_to_capture>
## Updating memories
You will also be provided with a list of existing memories in the
<existing_memories> section. You can:
- Decide to make no changes.
- Decide to add a new memory, using the `add_memory` tool.
- Decide to update an existing memory, using the `update_memory` tool.
- Decide to delete an existing memory, using the `delete_memory` tool.
You can call multiple tools in a single response if needed.
Only add or update memories if it is necessary to capture key information
provided by the user.
<existing_memories>
ID: ccf608ea-c538-42ce-b19a-a1da10e85abe
Memory: User's preferred coding language is Python.
ID: 8a504714-afaa-454a-afee-be8837c6d30f
Memory: User likes weekend hikes.
</existing_memories>
DEBUG =========================== user ===========================
DEBUG My preferred coding language is Python and I like weekend hikes.
DEBUG ======================== assistant =========================
DEBUG Got it — no memory changes needed. I already have that your preferred
coding language is Python and you like weekend hikes.
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=972, output=234, total=1206,
reasoning=192
DEBUG * Duration: 2.7880s
DEBUG * Tokens per second: 83.9301 tokens/s
DEBUG ************************ METRICS *************************
DEBUG ------------------- OpenAI Response End --------------------
DEBUG ******************** MemoryManager End *********************
DEBUG ======================== assistant =========================
DEBUG Got it — I’ve noted that your preferred coding language is Python and that
you like weekend hikes.
How I’ll use that:
- I’ll give code examples in Python by default.
- I can tailor suggestions, itineraries, gear lists, training plans, and
local trail recommendations around weekend hikes.
Would you like me to:
- Save/update these preferences now (so I remember them)?
- Show a Python example (e.g., a weekend-hike packing checklist script or
a GPX/route parser)?
- Suggest nearby weekend hikes or a training plan?
Tell me which and any extra details (location, fitness level, typical hike
length, hiking goals).
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=505, output=413, total=918,
reasoning=256
DEBUG ************************ METRICS *************************
DEBUG ---------------- OpenAI Response Stream End ----------------
DEBUG Added RunOutput to Team Session
DEBUG Created or updated TeamSession record:
67803e49-a0a7-4b23-b8cc-f57e80a357e4
DEBUG **** Team Run End: 0b8d54e0-3923-4999-94c4-0ec20e67a6ac ****
┏━ Message ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ My preferred coding language is Python and I like weekend hikes. ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Response (4.0s) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ Got it — I’ve noted that your preferred coding language is Python and that ┃
┃ you like weekend hikes. ┃
┃ ┃
┃ How I’ll use that: ┃
┃ - I’ll give code examples in Python by default. ┃
┃ - I can tailor suggestions, itineraries, gear lists, training plans, and ┃
┃ local trail recommendations around weekend hikes. ┃
┃ ┃
┃ Would you like me to: ┃
┃ - Save/update these preferences now (so I remember them)? ┃
┃ - Show a Python example (e.g., a weekend-hike packing checklist script or a ┃
┃ GPX/route parser)? ┃
┃ - Suggest nearby weekend hikes or a training plan? ┃
┃ ┃
┃ Tell me which and any extra details (location, fitness level, typical hike ┃
┃ length, hiking goals). ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛DEBUG ************** Team ID: personal-memory-team ***************
DEBUG ***** Session ID: 67803e49-a0a7-4b23-b8cc-f57e80a357e4 *****
DEBUG *** Team Run Start: 5526f07f-b3b9-4344-8275-8227b77bd579 ***
DEBUG Processing tools for model
DEBUG Added tool delegate_task_to_member
DEBUG Starting memory creation in background thread.
DEBUG --------------- OpenAI Response Stream Start ---------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You coordinate a team of specialized AI agents to fulfill the user's
request. Delegate to members when their expertise or tools are needed. For
straightforward requests you can handle directly — including using your
own tools — respond without delegating.
<team_members>
<member id="personal-assistant" name="Personal Assistant">
</member>
</team_members>
<how_to_respond>
You operate in coordinate mode. For requests that need member expertise,
select the best member(s), delegate with clear task descriptions, and
synthesize their outputs into a unified response. For requests you can
handle directly — simple questions, using your own tools, or general
conversation — respond without delegating.
Delegation:
- Match each sub-task to the member whose role and tools are the best fit.
Delegate to multiple members when the request spans different areas of
expertise.
- Write task descriptions that are self-contained: state the goal, provide
relevant context from the conversation, and describe what a good result
looks like.
- Use only the member's ID when delegating — do not prefix it with the
team ID.
After receiving member responses:
- If a response is incomplete or off-target, re-delegate with clearer
instructions or try a different member.
- Synthesize all results into a single coherent response. Resolve
contradictions, fill gaps with your own reasoning, and add structure — do
not simply concatenate member outputs.
</how_to_respond>
You have access to user info and preferences from previous interactions
that you can use to personalize your response:
<memories_from_previous_interactions>
- User's preferred coding language is Python.
- User likes weekend hikes.
</memories_from_previous_interactions>
Note: this information is from previous interactions and may be updated in
this conversation. You should always prefer information from this
conversation over the past memories.
DEBUG =========================== user ===========================
DEBUG What do you know about my preferences?
DEBUG Managing user memories
DEBUG ******************* MemoryManager Start ********************
DEBUG Added function add_memory
DEBUG Added function update_memory
DEBUG Added function delete_memory
DEBUG ------------------ OpenAI Response Start -------------------
DEBUG -------------------- Model: gpt-5-mini ---------------------
DEBUG ========================== system ==========================
DEBUG You are a Memory Manager that is responsible for managing information and
preferences about the user. You will be provided with a criteria for
memories to capture in the <memories_to_capture> section and a list of
existing memories in the <existing_memories> section.
## When to add or update memories
- Your first task is to decide if a memory needs to be added, updated, or
deleted based on the user's message OR if no changes are needed.
- If the user's message meets the criteria in the <memories_to_capture>
section and that information is not already captured in the
<existing_memories> section, you should capture it as a memory.
- If the users messages does not meet the criteria in the
<memories_to_capture> section, no memory updates are needed.
- If the existing memories in the <existing_memories> section capture all
relevant information, no memory updates are needed.
## How to add or update memories
- If you decide to add a new memory, create memories that captures key
information, as if you were storing it for future reference.
- Memories should be a brief, third-person statements that encapsulate the
most important aspect of the user's input, without adding any extraneous
information.
- Example: If the user's message is 'I'm going to the gym', a memory
could be `John Doe goes to the gym regularly`.
- Example: If the user's message is 'My name is John Doe', a memory
could be `User's name is John Doe`.
- Don't make a single memory too long or complex, create multiple memories
if needed to capture all the information.
- Don't repeat the same information in multiple memories. Rather update
existing memories if needed.
- If a user asks for a memory to be updated or forgotten, remove all
reference to the information that should be forgotten. Don't say 'The user
used to like ...`
- When updating a memory, append the existing memory with new information
rather than completely overwriting it.
- When a user's preferences change, update the relevant memories to
reflect the new preferences but also capture what the user's preferences
used to be and what has changed.
## Criteria for creating memories
Use the following criteria to determine if a user's message should be
captured as a memory.
<memories_to_capture>
Memories should capture personal information about the user that is
relevant to the current conversation, such as:
- Personal facts: name, age, occupation, location, interests, and
preferences
- Opinions and preferences: what the user likes, dislikes, enjoys, or
finds frustrating
- Significant life events or experiences shared by the user
- Important context about the user's current situation, challenges, or
goals
- Any other details that offer meaningful insight into the user's
personality, perspective, or needs
</memories_to_capture>
## Updating memories
You will also be provided with a list of existing memories in the
<existing_memories> section. You can:
- Decide to make no changes.
- Decide to add a new memory, using the `add_memory` tool.
- Decide to update an existing memory, using the `update_memory` tool.
- Decide to delete an existing memory, using the `delete_memory` tool.
You can call multiple tools in a single response if needed.
Only add or update memories if it is necessary to capture key information
provided by the user.
<existing_memories>
ID: ccf608ea-c538-42ce-b19a-a1da10e85abe
Memory: User's preferred coding language is Python.
ID: 8a504714-afaa-454a-afee-be8837c6d30f
Memory: User likes weekend hikes.
</existing_memories>
DEBUG =========================== user ===========================
DEBUG What do you know about my preferences?
DEBUG ======================== assistant =========================
DEBUG I currently have these preferences saved for you:
- Preferred coding language: Python
- Enjoys weekend hikes
Would you like to add, update, or remove any preferences?
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=968, output=271, total=1239,
reasoning=192
DEBUG * Duration: 3.3767s
DEBUG * Tokens per second: 80.2564 tokens/s
DEBUG ************************ METRICS *************************
DEBUG ------------------- OpenAI Response End --------------------
DEBUG ******************** MemoryManager End *********************
DEBUG ======================== assistant =========================
DEBUG From our past interactions I currently have two stored preferences about
you:
- Preferred coding language: Python
- You like weekend hikes
How I use those:
- I default to Python when giving code examples or solutions unless you
ask for a different language.
- I may suggest hiking-related weekend activities, routes, or gear when
relevant.
Notes and options:
- These memories come from earlier conversations and could be incomplete
or out of date. I always prioritize anything you tell me in the current
conversation over stored memories.
- If you want to add, change, or remove any preference, tell me what to
update (for example: "Remember I prefer JavaScript" or "Remove the hiking
preference").
- You can also ask me to list everything I currently remember about you,
or to clear all stored preferences.
Would you like to update or add any preferences now?
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=501, output=558, total=1059,
reasoning=320
DEBUG ************************ METRICS *************************
DEBUG ---------------- OpenAI Response Stream End ----------------
DEBUG Added RunOutput to Team Session
DEBUG Created or updated TeamSession record:
67803e49-a0a7-4b23-b8cc-f57e80a357e4
DEBUG **** Team Run End: 5526f07f-b3b9-4344-8275-8227b77bd579 ****
┏━ Message ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ What do you know about my preferences? ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Response (4.9s) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ From our past interactions I currently have two stored preferences about ┃
┃ you: ┃
┃ - Preferred coding language: Python ┃
┃ - You like weekend hikes ┃
┃ ┃
┃ How I use those: ┃
┃ - I default to Python when giving code examples or solutions unless you ask ┃
┃ for a different language. ┃
┃ - I may suggest hiking-related weekend activities, routes, or gear when ┃
┃ relevant. ┃
┃ ┃
┃ Notes and options: ┃
┃ - These memories come from earlier conversations and could be incomplete or ┃
┃ out of date. I always prioritize anything you tell me in the current ┃
┃ conversation over stored memories. ┃
┃ - If you want to add, change, or remove any preference, tell me what to ┃
┃ update (for example: "Remember I prefer JavaScript" or "Remove the hiking ┃
┃ preference"). ┃
┃ - You can also ask me to list everything I currently remember about you, or ┃
┃ to clear all stored preferences. ┃
┃ ┃
┃ Would you like to update or add any preferences now? ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
Captured memories:
[UserMemory(memory="User's preferred coding language is Python.",
memory_id='ccf608ea-c538-42ce-b19a-a1da10e85abe',
topics=['programming', 'preferences', 'coding_language'],
user_id='[email protected]',
input='My preferred coding language is Python and I like weekend '
'hikes.',
created_at=1771115736,
updated_at=1771115736,
feedback=None,
agent_id=None,
team_id='personal-memory-team'),
UserMemory(memory='User likes weekend hikes.',
memory_id='8a504714-afaa-454a-afee-be8837c6d30f',
topics=['hobbies', 'outdoors', 'preferences'],
user_id='[email protected]',
input='My preferred coding language is Python and I like weekend '
'hikes.',
created_at=1771115736,
updated_at=1771115736,
feedback=None,
agent_id=None,
team_id='personal-memory-team')]
Status: PASS
Description: Example execution attempt
Result: DEBUG ****************** Team ID: learning-team ******************
DEBUG *********** Session ID: learning_team_session_1 ************
DEBUG *** Team Run Start: 7d5a9855-dcf0-428b-80ce-dc459aa71ea1 ***
DEBUG LearningMachine initialized with stores: ['user_profile']
DEBUG Got 1 tools from user_profile
DEBUG Processing tools for model
DEBUG Added tool update_profile
DEBUG Added tool delegate_task_to_member
DEBUG Starting learning extraction in background thread.
DEBUG Learning extraction completed.
DEBUG --------------- OpenAI Response Stream Start ---------------
DEBUG ---------------------- Model: gpt-5.2 ----------------------
DEBUG ========================== system ==========================
DEBUG You coordinate a team of specialized AI agents to fulfill the user's
request. Delegate to members when their expertise or tools are needed. For
straightforward requests you can handle directly — including using your
own tools — respond without delegating.
<team_members>
<member id="researcher" name="Researcher">
Role: Collect user preference details and context.
</member>
<member id="writer" name="Writer">
Role: Write concise recommendations tailored to the user.
</member>
</team_members>
<how_to_respond>
You operate in coordinate mode. For requests that need member expertise,
select the best member(s), delegate with clear task descriptions, and
synthesize their outputs into a unified response. For requests you can
handle directly — simple questions, using your own tools, or general
conversation — respond without delegating.
Delegation:
- Match each sub-task to the member whose role and tools are the best fit.
Delegate to multiple members when the request spans different areas of
expertise.
- Write task descriptions that are self-contained: state the goal, provide
relevant context from the conversation, and describe what a good result
looks like.
- Use only the member's ID when delegating — do not prefix it with the
team ID.
After receiving member responses:
- If a response is incomplete or off-target, re-delegate with clearer
instructions or try a different member.
- Synthesize all results into a single coherent response. Resolve
contradictions, fill gaps with your own reasoning, and add structure — do
not simply concatenate member outputs.
</how_to_respond>
<additional_information>
- Use markdown to format your answers.
</additional_information>
DEBUG =========================== user ===========================
DEBUG My name is Alex, and I prefer concise responses with bullet points.
DEBUG ======================== assistant =========================
DEBUG Tool Calls:
- ID: 'fc_0d7b68195da7f2230069911ace940c81979e7e9de63b40face'
Name: 'update_profile'
Arguments: 'name: Alex, preferred_name: Alex'
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=538, output=23, total=561
DEBUG ************************ METRICS *************************
DEBUG Running: update_profile(name=Alex, preferred_name=Alex)
DEBUG Upserted learning: user_profile_team-learning-user
DEBUG UserProfileStore.save: saved profile for user_id=team-learning-user
DEBUG Profile fields updated: name=Alex, preferred_name=Alex
DEBUG =========================== tool ===========================
DEBUG Tool call Id: call_PYwitXoXlKCH0R7VCWgXpyQq
DEBUG Profile updated: name=Alex, preferred_name=Alex
DEBUG ********************** TOOL METRICS **********************
DEBUG * Duration: 0.0046s
DEBUG ********************** TOOL METRICS **********************
DEBUG Using previous_response_id:
resp_0d7b68195da7f2230069911ace234c8197ad82d9f2a4cfde13
DEBUG ======================== assistant =========================
DEBUG - Noted, Alex.
- I’ll keep responses concise and use bullet points by default.
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=583, output=29, total=612
DEBUG ************************ METRICS *************************
DEBUG ---------------- OpenAI Response Stream End ----------------
DEBUG Added RunOutput to Team Session
DEBUG Created or updated TeamSession record: learning_team_session_1
DEBUG **** Team Run End: 7d5a9855-dcf0-428b-80ce-dc459aa71ea1 ****
┏━ Message ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ My name is Alex, and I prefer concise responses with bullet points. ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Team Tool Calls ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ • update_profile(name=Alex, preferred_name=Alex) ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Response (2.6s) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ ┃
┃ • Noted, Alex. ┃
┃ • I’ll keep responses concise and use bullet points by default. ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛DEBUG ****************** Team ID: learning-team ******************
DEBUG *********** Session ID: learning_team_session_2 ************
DEBUG *** Team Run Start: e639e949-be46-4a7a-9637-9580fc6d56cb ***
DEBUG Got 1 tools from user_profile
DEBUG Processing tools for model
DEBUG Added tool update_profile
DEBUG Added tool delegate_task_to_member
DEBUG Starting learning extraction in background thread.
DEBUG --------------- OpenAI Response Stream Start ---------------
DEBUG Learning extraction completed.
DEBUG ---------------------- Model: gpt-5.2 ----------------------
DEBUG ========================== system ==========================
DEBUG You coordinate a team of specialized AI agents to fulfill the user's
request. Delegate to members when their expertise or tools are needed. For
straightforward requests you can handle directly — including using your
own tools — respond without delegating.
<team_members>
<member id="researcher" name="Researcher">
Role: Collect user preference details and context.
</member>
<member id="writer" name="Writer">
Role: Write concise recommendations tailored to the user.
</member>
</team_members>
<how_to_respond>
You operate in coordinate mode. For requests that need member expertise,
select the best member(s), delegate with clear task descriptions, and
synthesize their outputs into a unified response. For requests you can
handle directly — simple questions, using your own tools, or general
conversation — respond without delegating.
Delegation:
- Match each sub-task to the member whose role and tools are the best fit.
Delegate to multiple members when the request spans different areas of
expertise.
- Write task descriptions that are self-contained: state the goal, provide
relevant context from the conversation, and describe what a good result
looks like.
- Use only the member's ID when delegating — do not prefix it with the
team ID.
After receiving member responses:
- If a response is incomplete or off-target, re-delegate with clearer
instructions or try a different member.
- Synthesize all results into a single coherent response. Resolve
contradictions, fill gaps with your own reasoning, and add structure — do
not simply concatenate member outputs.
</how_to_respond>
<additional_information>
- Use markdown to format your answers.
</additional_information>
DEBUG =========================== user ===========================
DEBUG What do you remember about how I prefer responses?
DEBUG ======================== assistant =========================
DEBUG I don’t have any saved preferences from you yet.
By default, I’m currently set to:
- **Format:** Markdown when useful
- **Style:** concise, information-dense
- **Tone:** warm, direct, not overly flattering
- **Extras:** no emojis unless you ask; I won’t start with filler like
“Great question”
If you tell me what you prefer (length, tone, bullets vs. paragraphs,
etc.), I can remember it going forward.
DEBUG ************************ METRICS *************************
DEBUG * Tokens: input=534, output=101, total=635
DEBUG ************************ METRICS *************************
DEBUG ---------------- OpenAI Response Stream End ----------------
DEBUG Added RunOutput to Team Session
DEBUG Created or updated TeamSession record: learning_team_session_2
DEBUG **** Team Run End: e639e949-be46-4a7a-9637-9580fc6d56cb ****
┏━ Message ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ What do you remember about how I prefer responses? ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━ Response (2.6s) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ I don’t have any saved preferences from you yet. ┃
┃ ┃
┃ By default, I’m currently set to: ┃
┃ ┃
┃ • Format: Markdown when useful ┃
┃ • Style: concise, information-dense ┃
┃ • Tone: warm, direct, not overly flattering ┃
┃ • Extras: no emojis unless you ask; I won’t start with filler like “Great ┃
┃ question” ┃
┃ ┃
┃ If you tell me what you prefer (length, tone, bullets vs. paragraphs, etc.), ┃
┃ I can remember it going forward. ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛