Comments (1)
🚀 Here's the PR! #66
019e0bc2cb
)Tip
I can email you next time I complete a pull request if you set up your email here!
Actions (click)
- ↻ Restart Sweep
Step 1: 🔎 Searching
I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.
Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.
Step 2: ⌨️ Coding
Modify agents-api/agents_api/models/agent/create_tools.py with contents:
• At the top of the "create_tools.py" file, add a module-level docstring that briefly describes the module's purpose, e.g., "This module contains functions for creating tools in the CozoDB database."
• Add a docstring to the "create_tools_query" function that explains its purpose, parameters, and return type. For example: """ Constructs a datalog query for inserting tool records into the 'agent_functions' relation in the CozoDB.Parameters:
- agent_id (UUID): The unique identifier for the agent.
- functions (list[FunctionDef]): A list of function definitions to be inserted.
- embeddings (list[list[float]]): A list of embeddings corresponding to each function.
Returns:
- pd.DataFrame: A DataFrame containing the results of the query execution.
"""
• Insert an inline comment before the assertion in "create_tools_query" to explain its purpose, e.g., "# Ensure the number of functions matches the number of embeddings."
• Add a comment above the loop that constructs 'functions_input', explaining its purpose, e.g., "# Construct the input records for the datalog query."
• Before the datalog query string, insert a comment explaining its purpose, e.g., "# Datalog query for inserting new tool records into the 'agent_functions' relation."
• Ensure that these comments and docstrings are concise and informative, providing clarity without overwhelming the reader with unnecessary details.--- +++ @@ -1,3 +1,5 @@ +"""This module contains functions for creating tools in the CozoDB database.""" + from uuid import UUID, uuid4 import pandas as pd @@ -11,8 +13,21 @@ functions: list[FunctionDef], embeddings: list[list[float]], ) -> pd.DataFrame: + """ + Constructs a datalog query for inserting tool records into the 'agent_functions' relation in the CozoDB. + + Parameters: + - agent_id (UUID): The unique identifier for the agent. + - functions (list[FunctionDef]): A list of function definitions to be inserted. + - embeddings (list[list[float]]): A list of embeddings corresponding to each function. + + Returns: + - pd.DataFrame: A DataFrame containing the results of the query execution. + """ + # Ensure the number of functions matches the number of embeddings assert len(functions) == len(embeddings) + # Construct the input records for the datalog query functions_input: list[list] = [] for function, embedding in zip(functions, embeddings): @@ -28,6 +43,7 @@ ] ) + # Datalog query for inserting new tool records into the 'agent_functions' relation query = """ input[agent_id, tool_id, name, description, parameters, embedding] <- $records ?[agent_id, tool_id, name, description, parameters, embedding, updated_at] :=
- Running GitHub Actions for
agents-api/agents_api/models/agent/create_tools.py
✓ Edit
Check agents-api/agents_api/models/agent/create_tools.py with contents:Ran GitHub Actions for aed0768df4fb109e25a63755613f059e6c3083c1:
Step 3: 🔁 Code Review
I have finished reviewing the code for completeness. I did not find errors for sweep/add_docstrings_and_comments_to_agentsapi
.
🎉 Latest improvements to Sweep:
- New dashboard launched for real-time tracking of Sweep issues, covering all stages from search to coding.
- Integration of OpenAI's latest Assistant API for more efficient and reliable code planning and editing, improving speed by 3x.
- Use the GitHub issues extension for creating Sweep issues directly from your editor.
💡 To recreate the pull request edit the issue title or description.
Something wrong? Let us know.
This is an automated message generated by Sweep AI.
from julep.
Related Issues (20)
- Adaptive context flag is missing in the SDKs
- `context_overflow` type should be an enum of {truncate, adaptive} instead of str
- Upgrade embedding model from bge-m3 to gte-Qwen2-1.5B-instruct
- Deprecate samantha-1-turbo based model-api and instead default to NousResearch/Hermes-2-Theta-Llama-3-8B
- Create kubernetes manifests for deployment
- Write docs for adaptive context
- Add monitoring stack
- Remove llm-embedder dependency entirely
- Automate building and pushing postman collection
- Upgrade TEI to 1.3
- refactor(agents-api): Break up */routers.py to split routes into individual files
- Turn adaptive context into task
- Train a model gte model for chatml conversations instead
- Make matching docs and doc_ids available inside jinja templates
- Make doc search configurable
- Simplify tools
- Add upsert endpoints for root objects
- Improve streaming endpoints and make them scalable
- Add higher level classes to the sdks
- Create adapters for comfy ui and langgraph
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from julep.