Comments (1)
🚀 Here's the PR! #94
4e4d7b66cc
)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/patch_agent.py with contents:
• At the top of the file, add a docstring explaining the purpose of the file. For example: """This module contains functions for patching agent data in the cozodb database. It includes utilities for generating and executing datalog queries."""
• Add a docstring to the "patch_agent_query" function describing its purpose, parameters, and return type. For example: """Patches agent data based on provided updates. Parameters: agent_id (UUID): The unique identifier for the agent. developer_id (UUID): The unique identifier for the developer. default_settings (dict, optional): Default settings to apply to the agent. **update_data: Arbitrary keyword arguments representing data to update. Returns: pd.DataFrame: The result of the query execution."""
• Add a comment before the agent update query construction (line 25) explaining the query's purpose. For example: "# Construct the query for updating agent information in the database."
• Add a comment before the settings update query construction (line 45) explaining the query's purpose. For example: "# Construct the query for updating agent's default settings in the database."
• Add a comment before combining the queries (line 57) to explain why and how the queries are combined. For example: "# Combine agent and settings update queries if default settings are provided."
• Ensure that all added comments and docstrings are concise and do not introduce any changes to the code's logic or functionality.--- +++ @@ -13,6 +13,18 @@ default_settings: dict = {}, **update_data, ) -> pd.DataFrame: + """Patches agent data based on provided updates. + + Parameters: + agent_id (UUID): The unique identifier for the agent. + developer_id (UUID): The unique identifier for the developer. + default_settings (dict, optional): Default settings to apply to the agent. + **update_data: Arbitrary keyword arguments representing data to update. + + Returns: + pd.DataFrame: The result of the query execution. + """ + # Construct the query for updating agent information in the database. # Agent update query agent_update_cols, agent_update_vals = cozo_process_mutate_data( { @@ -35,6 +47,7 @@ }} """ + # Construct the query for updating agent's default settings in the database. # Settings update query settings_cols, settings_vals = cozo_process_mutate_data( { @@ -54,6 +67,7 @@ }} """ + # Combine agent and settings update queries if default settings are provided. # Combine the queries queries = [agent_update_query]
- Running GitHub Actions for
agents-api/agents_api/models/agent/patch_agent.py
✓ Edit
Check agents-api/agents_api/models/agent/patch_agent.py with contents:Ran GitHub Actions for 4cc724afe0bf3c5e02d0428a9e5c4e50abb83a7c:
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_51adf
.
🎉 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)
- (Maybe?) Add a semantic cache
- sessions/chat endpoint returns 500 error status when too many tools have been passed
- make users optional when creating and interacting with sessions HOT 1
- Upgrade text-embedding-inference services to version 1.2 from 1.0
- Improve `deploy/docker-compose.yml` for easy local installations.
- possible bug: Double check if final_settings.remember in BaseSession.backward is correctly being passed by the SDKs
- Typescript SDK is not getting generated
- Simplify ChatResponse schema
- Replace `updated_at` with `updated_at_ms` wherever it is used as a `Validity` in cozo relations
- Multimodal inputs: count image tokens
- Create simple examples using composio integration
- Implement Reciprocal-Rank Fusion or Distribution-Based Fusion for maximum RAG accuracy
- Flesh out CONTRIBUTING.md
- API for Whisper? HOT 1
- Add validation constraints for adaptive context settings
- Need to add configurable retries for model providers
- Tool names for a given agent MUST be enforced to be unique
- Grok-1 Tool Support HOT 1
- Allow developers to set the UUID of root objects and use them for upsert endpoints
- feat(adaptive-context): Process image parts in summarization
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.