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feat: Add dialog entries summarization #496

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@whiterabbit1983 whiterabbit1983 commented Sep 11, 2024

🚀 This description was created by Ellipsis for commit fa5b52d

feat: Add dialog entries summarization and update truncation logic

Summary:

Enhance dialog entries summarization and update truncation logic for improved chat session management.

Key points:

  • Summarization: Implement summarization() using summarize_messages, get_entities, and trim_messages in summarization.py. Add entries_summarization_query and get_toplevel_entries_query in entries_summarization.py.
  • Truncation: Implement truncation() in truncation.py to delete entries based on token count. Add get_extra_entries function in truncation.py.
  • Workflow: Modify TruncationWorkflow in truncation.py to include developer_id. Add run_truncation_task and run_summarization_task in temporal.py.
  • Chat Handling: Update chat.py to handle context overflow and raise PromptTooBigError.
  • Miscellaneous: Change response type in create_or_update_session.py to ResourceUpdatedResponse. Add debug print in litellm.py.

Generated with ❤️ by ellipsis.dev

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❌ Changes requested. Reviewed everything up to c07987a in 45 seconds

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  • Looked at 298 lines of code in 2 files
  • Skipped 0 files when reviewing.
  • Skipped posting 2 drafted comments based on config settings.
1. agents-api/agents_api/models/entry/entries_summarization.py:79
  • Draft comment:
    The docstring mentions returning a pd.DataFrame, but the function actually returns a tuple of a query string and a dictionary. Please update the docstring to reflect the actual return type.
  • Reason this comment was not posted:
    Marked as duplicate.
2. agents-api/agents_api/activities/summarization.py:74
  • Draft comment:
    The loop variable idx is incorrectly used in the UUID conversion. It should be entries[idx - 1]["entry_id"] instead of entries[idx - 1]["entry_id"].
  • Reason this comment was not posted:
    Decided after close inspection that this draft comment was likely wrong and/or not actionable:
    The comment seems to be pointing out a potential off-by-one error, but the code uses idx - 1, which is a typical way to access the previous element in a list. Without additional context or evidence of an error, the comment seems speculative. The code appears to be intentional in its use of idx - 1.
    I might be overlooking a specific context where idx - 1 could lead to an error, such as when idx is 0. However, the code seems to be part of a loop over summarized, which likely has a corresponding structure that ensures idx is never 0 when this line is executed.
    The code should be reviewed in the context of the entire function to ensure that idx is never 0 when this line is executed. If the loop is correctly structured, the comment is unnecessary.
    The comment is speculative and does not provide clear evidence of an error. The code appears to be intentional in its use of idx - 1. The comment should be removed.

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- session_id (UUID): The unique identifier for the session.

Returns:
- pd.DataFrame: A DataFrame containing the queried top-level entries.
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The docstring mentions returning a pd.DataFrame, but the function actually returns a tuple of a query string and a dictionary. Please update the docstring to reflect the actual return type.

get_entities(entries, model=summarization_model_name),
)
trimmed_messages = await trim_messages(summarized, model=summarization_model_name)
ts_delta = (entries[1]["timestamp"] - entries[0]["timestamp"]) / 2
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Ensure entries has at least two elements before calculating ts_delta to avoid potential IndexError.

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❌ Changes requested. Incremental review on df7d6bc in 38 seconds

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  • Looked at 141 lines of code in 3 files
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  • Skipped posting 1 drafted comments based on config settings.
1. agents-api/agents_api/activities/truncation.py:24
  • Draft comment:
    Consider breaking the loop once the token count threshold is reached to avoid unnecessary iterations.
            break
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The get_extra_entries function appends entries to the result list when the token count exceeds the threshold. However, it should break the loop once the threshold is reached to avoid unnecessary iterations.

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def get_extra_entries(messages: list[Entry], token_count_threshold: int) -> list[UUID]:
raise NotImplementedError()
result: list[UUID] = []

if not len(messages):
return messages
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The function get_extra_entries should return an empty list of UUIDs instead of messages when messages is empty.

async def truncation(session_id: str, token_count_threshold: int) -> None:
async def truncation(
developer_id: str, session_id: str, token_count_threshold: int
) -> None:
session_id = UUID(session_id)
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Consider adding error handling for UUID conversion to handle invalid UUID strings gracefully.

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❌ Changes requested. Incremental review on f62b092 in 28 seconds

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  • Looked at 110 lines of code in 2 files
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  • Skipped posting 1 drafted comments based on config settings.
1. agents-api/agents_api/routers/sessions/chat.py:108
  • Draft comment:
    The comment about setting a value for streaming response is misleading since the else block raises an error. Consider clarifying or removing it.
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The else block for context overflow handling raises an error if the prompt is too big. However, the comment mentions setting a value for streaming response, which is not implemented. This might cause confusion.

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@@ -97,13 +94,23 @@ async def chat(
)

# Adaptive context handling
jobs = []
job_id = uuid4()
if chat_context.session.context_overflow == "adaptive":
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Consider adding run_summarization_task and run_truncation_task to background_tasks to avoid blocking the chat function.

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❌ Changes requested. Incremental review on 14a1a01 in 25 seconds

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chat_context.session.token_budget is not None
and total_tokens >= chat_context.session.token_budget
):
job_id = uuid4()
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job_id might be undefined if the token budget condition is not met. Consider initializing job_id before the conditional block.

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❌ Changes requested. Incremental review on f8ce313 in 23 seconds

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@@ -21,14 +21,9 @@ async def create_or_update_session(
x_developer_id: Annotated[UUID4, Depends(get_developer_id)],
session_id: UUID,
data: CreateOrUpdateSessionRequest,
) -> ResourceCreatedResponse:
session = create_session_query(
) -> ResourceUpdatedResponse:
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The return type is ResourceUpdatedResponse, but the status code is HTTP_201_CREATED. Consider changing the status code to HTTP_200_OK for updates.

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👍 Looks good to me! Incremental review on 6db5e4c in 1 minute and 3 seconds

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1. agents-api/agents_api/common/protocol/sessions.py:101
  • Draft comment:
    The try-except block for StopIteration is correctly implemented to handle cases where no toolset matches the active agent. This prevents runtime errors and is a good practice.
  • Reason this comment was not posted:
    Confidence changes required: 0%
    The try-except block for StopIteration is correctly implemented to handle cases where no toolset matches the active agent. This is a good practice to prevent runtime errors.

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👍 Looks good to me! Incremental review on 9118d86 in 20 seconds

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1. agents-api/agents_api/routers/sessions/chat.py:73
  • Draft comment:
    The change from tools to tools or None ensures that None is passed instead of an empty list, which is a good practice for handling optional parameters.
  • Reason this comment was not posted:
    Confidence changes required: 0%
    The change from tools to tools or None is a good practice to ensure that the function receives None instead of an empty list, which might be handled differently by the acompletion function. This change is correct and improves the robustness of the code.

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❌ Changes requested. Incremental review on 38421e3 in 33 seconds

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if isinstance(model_response, ModelResponse):
total_tokens = model_response.usage.total_tokens

job_id = uuid4()
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The job_id is being generated twice, once before the if condition and once inside the condition. This is unnecessary. Generate job_id only when needed inside the if condition.

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❌ Changes requested. Incremental review on 981a14d in 16 seconds

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@@ -21,6 +21,8 @@ async def acompletion(
supported_params = get_supported_openai_params(model)
settings = {k: v for k, v in kwargs.items() if k in supported_params}

print("+++>", settings)
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Remove the print statement used for debugging purposes to avoid unnecessary console output in production.

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❌ Changes requested. Incremental review on 19b15e0 in 16 seconds

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@@ -21,6 +21,8 @@ async def acompletion(
supported_params = get_supported_openai_params(model)
settings = {k: v for k, v in kwargs.items() if k in supported_params}

print("+++>", settings)
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Debug print statements should be removed or replaced with proper logging before merging to production code.

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👍 Looks good to me! Incremental review on 151c2fb in 15 seconds

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1. agents-api/agents_api/routers/sessions/chat.py:1
  • Draft comment:
    The use of suppress(KeyError) in the loop is not optimal. Consider checking if 'created_at' exists in m before attempting to delete it to avoid unnecessary exception handling overhead.
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The import statement for 'suppress' is used correctly, but the usage in the code is not optimal.

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👍 Looks good to me! Incremental review on a8b8e45 in 16 seconds

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1. agents-api/agents_api/routers/sessions/chat.py:73
  • Draft comment:
    Consider using m.pop("id", None) instead of with suppress(KeyError): del m["id"] for better performance and readability. This applies to the deletion of "created_at" as well.
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The code suppresses KeyError when deleting keys from a dictionary. This is a good practice to avoid runtime errors if the key does not exist. However, it would be more efficient to use the dictionary's pop method with a default value, which is more idiomatic and slightly faster.

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👍 Looks good to me! Incremental review on 1847be2 in 13 seconds

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1. agents-api/agents_api/routers/sessions/chat.py:73
  • Draft comment:
    Consider using the pop method with a default value to remove keys from the dictionary. This can make the code cleaner and avoid the need for suppress.
m.pop("created_at", None)
m.pop("id", None)
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The code suppresses KeyError when deleting keys from a dictionary. This is a good practice to avoid runtime errors if the key doesn't exist. However, it would be more efficient to use the dictionary's pop method with a default value to achieve the same result without the need for suppress.

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👍 Looks good to me! Incremental review on 13f528e in 24 seconds

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1. agents-api/agents_api/clients/temporal.py:80
  • Draft comment:
    The change from execute_workflow to start_workflow is correct, but the PR description should mention why this change was made. It seems like a change in the way workflows are initiated, possibly to allow for more asynchronous handling or to avoid blocking. However, the description does not clarify this.
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The change from execute_workflow to start_workflow is correct, but the PR description should mention why this change was made. It seems like a change in the way workflows are initiated, possibly to allow for more asynchronous handling or to avoid blocking. However, the description does not clarify this.

Workflow ID: wflow_I7xmeAPfhb3xj3sa


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👍 Looks good to me! Incremental review on f1f55b3 in 26 seconds

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  • Skipped posting 1 drafted comments based on config settings.
1. agents-api/agents_api/clients/temporal.py:78
  • Draft comment:
    Consider moving the import statement for TruncationWorkflow to the top of the file to follow best practices for import organization. This applies to the import on line 91 as well.
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The import statements for TruncationWorkflow and SummarizationWorkflow should be at the top of the file to follow best practices for import organization. This also applies to other similar imports in the file.

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👍 Looks good to me! Incremental review on a7ec9d5 in 19 seconds

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1. agents-api/agents_api/clients/temporal.py:78
  • Draft comment:
    Consider moving the import statement for TruncationWorkflow to the top of the file for better readability and to follow Python's best practices.
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The import statements for TruncationWorkflow and SummarizationWorkflow should be at the top of the file for better readability and to follow Python's best practices.
2. agents-api/agents_api/clients/temporal.py:91
  • Draft comment:
    Consider moving the import statement for SummarizationWorkflow to the top of the file for better readability and to follow Python's best practices.
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The import statements for TruncationWorkflow and SummarizationWorkflow should be at the top of the file for better readability and to follow Python's best practices.

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❌ Changes requested. Incremental review on 2e9b2a3 in 18 seconds

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async def run_truncation_task(
token_count_threshold: int, developer_id: UUID, session_id: UUID, job_id: UUID
):
from ..workflows.truncation import TruncationWorkflow
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Consider moving the import statement for TruncationWorkflow to the top of the file to avoid repeated imports every time the function is called, which can affect performance. This applies to the import in run_summarization_task as well.

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👍 Looks good to me! Incremental review on 9574110 in 46 seconds

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1. agents-api/agents_api/activities/truncation.py:43
  • Draft comment:
    Ensure that the Entry class accepts id as a parameter. If it expects entry_id, change id=row["entry_id"] to entry_id=row["entry_id"].
  • Reason this comment was not posted:
    Decided after close inspection that this draft comment was likely wrong and/or not actionable:
    The comment is speculative as it asks to ensure something without strong evidence of an issue. The change in the parameter name could be intentional and correct. Without evidence that the Entry class does not accept id, the comment does not meet the criteria for being kept.
    I might be missing the context of the Entry class definition, which could clarify whether id is a valid parameter. However, the comment does not provide evidence of an issue, making it speculative.
    Even if the Entry class definition is not visible, the comment should provide evidence of an issue rather than speculate. Without such evidence, the comment is not useful.
    Delete the comment as it is speculative and does not provide strong evidence of an issue.

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❌ Changes requested. Incremental review on dd517e3 in 35 seconds

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  • Looked at 65 lines of code in 3 files
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1. agents-api/agents_api/activities/summarization.py:53
  • Draft comment:
    The tokenizer field is currently empty. Ensure to set it to the appropriate tokenizer used for calculating token_count.
  • Reason this comment was not posted:
    Marked as duplicate.
2. agents-api/agents_api/activities/summarization.py:41
  • Draft comment:
    Ensure there are at least two entries before calculating ts_delta to avoid potential errors.
  • Reason this comment was not posted:
    Comment was on unchanged code.
3. agents-api/agents_api/routers/sessions/chat.py:87
  • Draft comment:
    Remove unnecessary whitespace on this line for better readability.
  • Reason this comment was not posted:
    Confidence changes required: 10%
    The chat.py file has unnecessary whitespace on line 87. Removing it will improve code readability.
4. agents-api/agents_api/routers/tasks/update_execution.py:37
  • Draft comment:
    Remove unnecessary newline for better readability.
  • Reason this comment was not posted:
    Confidence changes required: 10%
    The update_execution.py file has an unnecessary newline on line 37. Removing it will improve code readability.

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name="entities",
content=entities["content"],
timestamp=entries[0]["timestamp"] + ts_delta,
token_count=sum([len(c) // 3.5 for c in entities["content"]]),
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The token_count calculation using len(c) // 3.5 is an approximation and may not be accurate. Consider using a tokenizer to get the exact token count.

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👍 Looks good to me! Incremental review on 979636b in 38 seconds

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1. agents-api/agents_api/models/entry/entries_summarization.py:99
  • Draft comment:
    The change from new_entry.created_at to new_entry.created_at.isoformat() ensures consistent datetime format in the database, which is a good practice.
  • Reason this comment was not posted:
    Confidence changes required: 0%
    The change from new_entry.created_at to new_entry.created_at.isoformat() is correct for ensuring consistent datetime format in the database.

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👍 Looks good to me! Incremental review on 9df467b in 26 seconds

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  • Looked at 28 lines of code in 1 files
  • Skipped 0 files when reviewing.
  • Skipped posting 1 drafted comments based on config settings.
1. agents-api/agents_api/models/entry/entries_summarization.py:99
  • Draft comment:
    The created_at field is removed from the entries_summarization_query, but it is still present in the get_toplevel_entries_query. Ensure consistency across queries if created_at is not needed.
  • Reason this comment was not posted:
    Decided after close inspection that this draft comment was likely wrong and/or not actionable:
    The comment highlights a potential inconsistency between two queries in the same file. Since the 'created_at' field was removed from one query but not the other, it could indicate a need for consistency. This is a valid point as it directly relates to the changes made in the diff.
    The comment assumes that consistency is required between the two queries without knowing the specific requirements or context of each query. It's possible that the removal of 'created_at' is intentional and context-specific.
    While the removal might be intentional, the comment is still valid as it points out a potential inconsistency that should be reviewed. It's better to ensure that such changes are deliberate and documented.
    The comment should be kept as it highlights a potential inconsistency in the code changes that may require further review.

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❌ Changes requested. Incremental review on fa5b52d in 19 seconds

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  • Looked at 26 lines of code in 1 files
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  • Skipped posting 0 drafted comments based on config settings.

Workflow ID: wflow_2aSNx3ae5YmCpYDL


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name="information",
content=content,
timestamp=entries[-1]["timestamp"] + 0.01,
token_count=sum([len(c) // 3.5 for c in content]),
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The token count calculation using len(c) // 3.5 is a rough estimate and may not be accurate. Consider using a tokenizer to calculate the token count more precisely. Also, ensure the tokenizer field is set appropriately.

@creatorrr creatorrr marked this pull request as draft September 19, 2024 13:48
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