melody

Templating rendering and generation parsing for Cohere models.

Dev Setup

  1. Install Rust from rustup.rs.
  2. Install rust-analyzer for IDE support.
  3. make rust-test && make rust-lint to ensure everything is working.

Examples

The examples/ directory contains several example programs demonstrating how to use the Melody parsing library in Rust. You can run them using:

cargo run --example basic

Usage

Parsing

use cohere_melody::parsing::Filter;
use cohere_melody::*;

// Create a filter with options
let options = parsing::FilterOptions::new().cmd3();

let mut filter = parsing::new_filter(options);

// Simulate text
let citation_text = "Hello <co: 1>world</co: 1>!";

// Write text — returns an aggregated result
let result = filter.write_decoded(citation_text);

if let Some(text) = &result.content {
    println!("  Content: {text}");
}
for citation in &result.citations {
    println!(
        "    Citation: {} (indices {}-{})",
        citation.text, citation.start_index, citation.end_index
    );
}

// Flush remaining tokens
let final_result = filter.flush_partials();

Parsing vision generations (unary)

Parse/OCR models emit markdown interleaved with [visual_element]…[/visual_element] blocks. Use the unary helper (full generation text, not streaming):

use cohere_melody::parsing::parse_vision_generation;

let parsed = parse_vision_generation(model_output)?;
for segment in &parsed.segments {
    match segment {
        cohere_melody::parsing::VisionSegment::Text { text } => { /* markdown */ }
        cohere_melody::parsing::VisionSegment::Element { element } => {
            // element.type, bbox, description, html, ...
        }
    }
}

Go: gobindings.ParseVisionGeneration(text). Python: cohere_melody.parse_vision_generation(text).

Templating

use cohere_melody::parsing::Filter;
use cohere_melody::*;

// Assemble inputs into the template (e.g. conversation history)
let options = templating::RenderCmd4Options {
    messages: vec![
        templating::types::Message {
            role: templating::types::Role::System,
            content: vec![templating::types::Content {
                content_type: templating::types::ContentType::Text,
                text: Some("You are a helpful assistant.".to_string()),
                thinking: None,
                image: None,
                document: None,
            }],
            tool_calls: vec![],
            tool_call_id: None,
            citations: vec![],
        },
        templating::types::Message {
            role: templating::types::Role::User,
            content: vec![templating::types::Content {
                content_type: templating::types::ContentType::Text,
                text: Some("Hello Command!.".to_string()),
                thinking: None,
                image: None,
                document: None,
            }],
            tool_calls: vec![],
            tool_call_id: None,
            citations: vec![],
        },
    ],
    ..Default::default()
};

// Render prompt
let prompt = templating::render_cmd4(&options).unwrap();

Releasing

Bump the version in Cargo.toml and push to main. The CI will automatically create a GitHub release, build wheels for all platforms, and publish to PyPI.

Building Python Bindings

Prerequisites (from pyo3)

  1. Recommended install uv
  2. From root directory, run: 
    make python-bindings
  3. Test the bindings: 
    cd rust
uv run python -c "import cohere_melody;"

Debugging

You may run into issues calling the Rust static library from other languages (e.g. Golang via CGO). One effective way to debug these issues is to:

  1. Build the library in debug mode. You can do this by adding these lines to the Cargo.toml file:
[profile.release]
debug = true

and then building the library normally: make rust-build-with-tokenizers.

  1. Create a binary to debug. In Golang, I create a binary from a test:
go test -count=1 ./gobindings/... -c
  1. Use gdb (brew install gdb on macOS).
gdb ./gobindings.test
break melody_render_cmd3
run
  1. When it hits the breakpoint, you can step through the Rust code to see where things might be going wrong.

Project links

Data verified by PyPI on Aug 14, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.13.4)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for cohere-ai from gravatar.com cohere-ai Avatar for walterbm-cohere from gravatar.com walterbm-cohere

GitHub Statistics

Data verified by PyPI on Aug 14, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT

Requires

Python >=3.10

Tags

cohere llm templating parsing

Classifiers

Report project as malware

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0.13.4

85 files

0.13.3

85 files

0.13.2

85 files

This release

0.13.1 This release

85 files

0.13.0

85 files

0.12.0

85 files

0.11.3

85 files

0.11.2

85 files

0.11.1

85 files

0.11.0

85 files

0.10.0

85 files

0.9.0

91 files

0.8.0

91 files

0.7.5

91 files

0.7.4

91 files

0.7.3

91 files

0.7.2

91 files

0.7.1

91 files

0.7.0

91 files

0.6.8

91 files

0.6.7

91 files

0.6.1

111 files

0.5.5

111 files

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