elviskahoro/assistant-python icon
public
Published on 4/19/2025
Python

Prompts
Models
Context
anthropic Claude 3.7 Sonnet model icon

Claude 3.7 Sonnet

anthropic

200kinput·8.192koutput
anthropic Claude 3.5 Sonnet model icon

Claude 3.5 Sonnet

anthropic

200kinput·8.192koutput
mistral Codestral model icon

Codestral

mistral

voyage voyage-code-3 model icon

voyage-code-3

voyage

voyage Voyage AI rerank-2 model icon

Voyage AI rerank-2

voyage

together Llama 4 Maverick Instruct (17Bx128E) model icon

Llama 4 Maverick Instruct (17Bx128E)

together

gemini Gemini 2.5 Pro model icon

Gemini 2.5 Pro

gemini

1048kinput·65.536koutput
relace Relace Instant Apply model icon

Relace Instant Apply

relace

xAI Grok 2 model icon

Grok 2

xAI

openai OpenAI GPT-4o model icon

OpenAI GPT-4o

OpenAI

128kinput·16.384koutput
gemini Gemini 2.0 Flash model icon

Gemini 2.0 Flash

gemini

1048kinput·8.192koutput
together Llama 4 Scout Instruct (17Bx16E) model icon

Llama 4 Scout Instruct (17Bx16E)

together

openai Morph Fast Apply model icon

Morph Fast Apply

OpenAI

anthropic Claude 3.5 Haiku model icon

Claude 3.5 Haiku

anthropic

200kinput·8.192koutput
openai o3-mini model icon

o3-mini

OpenAI

200kinput·100koutput
voyage voyage-code-2 model icon

voyage-code-2

voyage

mistral Mistral Embed model icon

Mistral Embed

mistral

openai o1 model icon

o1

OpenAI

200kinput·100koutput
openai OpenAI GPT-4o Mini model icon

OpenAI GPT-4o Mini

OpenAI

128kinput·16.384koutput
ollama qwen2.5-coder 1.5b model icon

qwen2.5-coder 1.5b

ollama

ollama nomic-embed-text latest model icon

nomic-embed-text latest

ollama

lmstudio deepseek-r1 8b model icon

deepseek-r1 8b

lmstudio

sambanova Qwen2.5 Coder-32B-Instruct model icon

Qwen2.5 Coder-32B-Instruct

sambanova

novita llama-3.3-70b-instruct model icon

llama-3.3-70b-instruct

novita

lmstudio qwen2.5-coder 1.5b model icon

qwen2.5-coder 1.5b

lmstudio

ncompass Qwen 2.5 Coder 32b model icon

Qwen 2.5 Coder 32b

ncompass

mistral Mistral Large model icon

Mistral Large

mistral

deepinfra Qwen2.5 Coder 32B Instruct model icon

Qwen2.5 Coder 32B Instruct

deepinfra

ollama deepseek-r1 8b model icon

deepseek-r1 8b

ollama

sambanova DeepSeek R1 model icon

DeepSeek R1

sambanova

deepinfra DeepSeek R1 model icon

DeepSeek R1

deepinfra

anthropic CodeGate Anthropic model icon

CodeGate Anthropic

anthropic

novita deepseek-r1 model icon

deepseek-r1

novita

openai OpenAI text-embedding-3-large model icon

OpenAI text-embedding-3-large

OpenAI

No Rules configured

No Docs configured

Prompts

Learn more
prompt-changelog
Prompt for changelog
You are helping me write product changelog entries in a clean, narrative format. Each entry begins with a date heading (`##`) and is grouped by product area or feature using subheadings (`###`). Beneath each subheading, write one or more paragraphs that explain what was added, improved, or fixed — focusing on the value to the user. Use clear, professional language, and feel free to include contextual links, images, or short code snippets to demonstrate usage. **Do not use bullet points**. Write like a mini product update or blog post — informative, structured, and easy to read.
---
## Template for a New Changelog Entry

```md
## [Month Day, Year]

### [Feature or Area Title]

[Brief paragraph or two that describes the update, the motivation behind it, and the user-facing impact. Link to any relevant documentation or blog posts. Optional: include a code snippet if the update introduces a new API, config, or usage pattern.] ```

```python
# (optional code snippet to show usage)
```

---

## ✅ Full Example

```md ## January 22, 2025
### Chalk's C++ SQL Driver for Spanner now supports inputs (parameterized queries)

Chalk’s C++ driver now supports [Spanner](https://cloud.google.com/spanner) queries that explicitly accept input parameters.  
These resolvers now run faster, with some query latencies dropping from 24ms to 10ms.

### Enhanced visibility into your Chalk deployment

The Chalk query plan viewer now highlights nodes for [Chalk expressions](/docs/expression) and [SQL resolvers](https://docs.chalk.ai/docs/sql-resolvers) using Chalk's C++ driver in orange.  
Differentiate between various node types at a glance to debug Chalk queries in less time.

The Kubernetes resource page in the Chalk dashboard has been enhanced to include data from the Kubernetes events API, increasing visibility into nodes, pods, and more objects to come.  
Expanding the types of events and their granularity provides better insights into jobs. These include events like node removal, pod scheduling, and deployment failures.

The query plan viewer in the Chalk dashboard now supports breadcrumbs to hyperlink to a feature’s parent in the query plan viewer, enabling quicker traversal through a feature’s lineage.

![Colored nodes in Chalk's query plan viewer](/img/changelog-25_01_22-query_plan_viewer.png) ```

Context

Learn more
@diff
Reference all of the changes you've made to your current branch
@codebase
Reference the most relevant snippets from your codebase
@url
Reference the markdown converted contents of a given URL
@folder
Uses the same retrieval mechanism as @Codebase, but only on a single folder
@terminal
Reference the last command you ran in your IDE's terminal and its output
@code
Reference specific functions or classes from throughout your project
@file
Reference any file in your current workspace
@repo-map
Reference the outline of your codebase
@docs
Reference the contents from any documentation site
@currentFile
Reference the currently open file
@open
Reference the contents of all of your open files
@greptile
Query a Greptile index of the current repo/branch
@jira
Reference the conversation in a Jira issue
@problems
Get Problems from the current file
@os
Reference the architecture and platform of your current operating system
@commit
@clipboard
Reference recent clipboard items

No Data configured

MCP Servers

Learn more

Exa

npx -y exa-mcp-server

Memory

npx -y @modelcontextprotocol/server-memory

Browser MCP

npx -y @browsermcp/mcp@latest

Postgres

npx -y @modelcontextprotocol/server-postgres ${{ secrets.elviskahoro/assistant-python/anthropic/postgres-mcp/CONNECTION_STRING }}

GitHub

npx -y @modelcontextprotocol/server-github

Tavily Search

npx -y tavily-mcp@0.1.4

Filesystem

npx -y @modelcontextprotocol/server-filesystem ${{ secrets.elviskahoro/assistant-python/anthropic/filesystem-mcp/PATH }}