LatchBio Integration

Current Baseline

This skill targets Latch SDK 2.76.8, released July 10, 2026. The package metadata supports Python 3.9–3.12 and declares Python 3.9+.

Treat the installed package and its changelog as authoritative when a guide disagrees with the SDK. Some Latch guides retain older Python ranges or compatibility-specific pre-release pins, especially the Snakemake v2 tutorial. Never combine commands or imports from different tracks without checking their version requirements.

When to Use

Use this skill to:

• Create or maintain Python SDK workflows and task graphs
• Package and register Python, Nextflow, or Snakemake pipelines
• Configure task CPU, memory, storage, GPU, caching, retries, and timeouts
• Work with Latch Data through LPath, LatchFile, LatchDir, or the CLI
• Read or update Latch Registry projects, tables, and records
• Design workflow forms, launch plans, samplesheets, messages, and result links
• Stage and debug workflow images with latch register --staging and latch develop
• Launch and monitor workflows through Python or Latch MCP
• Discover and use ready-to-run Latch workflows

Route to the Right Reference

Read only the references needed for the task:

| Need | Reference | |---|---| | Python workflows, tasks, maps, conditions, caching | references/workflow-creation.md | | LPath, legacy file types, Latch URLs, data CLI | references/data-management.md | | Registry reads, transactions, samplesheets | references/registry.md | | CPU, memory, storage, GPU, dynamic resources | references/resource-configuration.md | | Nextflow and Snakemake packaging | references/nextflow-snakemake.md | | Metadata, forms, launch plans, messages, automations | references/ui-and-automation.md | | Registration, development, execution, monitoring | references/operations-and-debugging.md | | Ready-to-use workflows and latch.verified | references/verified-workflows.md | | Remote MCP setup and tool workflow | references/latch-mcp.md |

Before relying on a symbol, run scripts/inspect_latch_sdk.py against the target SDK version. It performs local imports only and does not authenticate or make network requests.

Installation and Authentication

For a reproducible environment:

bash
uv venv --python 3.12
source .venv/bin/activate
uv pip install "latch==2.76.8"

On Windows, use WSL for the documented Linux workflow tooling.

Authenticate through the supported OAuth flow; do not read, print, copy, or parse ~/.latch/token manually:

bash
latch login
latch workspace

Select a workspace non-interactively when its numeric ID is already known:

bash
latch workspace --id 12345

latch login credentials are for the SDK and CLI. Latch MCP uses a separate OAuth authorization and its credentials cannot be reused for general SDK access.

Fast Path

Create and remotely register the maintained subprocess template:

bash
latch init covid-wf --template subprocess
latch register --yes --open covid-wf

Remote image building is the default. Use --no-remote only when a local Docker daemon is available and a local build is intentional.

Minimal Python Workflow

Keep workflow bodies declarative: invoke tasks and return their promises. Perform computation and side effects inside tasks.

python
from latch import small_task, workflow


@small_task
def reverse_complement(sequence: str) -> str:
    table = str.maketrans("ACGTacgt", "TGCAtgca")
    return sequence.translate(table)[::-1]


@workflow
def reverse_complement_workflow(sequence: str) -> str:
    """Return the reverse complement of a DNA sequence."""
    return reverse_complement(sequence=sequence)

Use @workflow(metadata) when the generated interface needs custom labels, sections, validation rules, samplesheets, or documentation links. Use LatchFile or LatchDir for automatic task input staging and output upload; use LPath for imperative remote path operations.

Recommended Development Lifecycle

1. Inspect compatibility

• Confirm the installed SDK and Python version.
• Identify whether the project is Python, Nextflow, the legacy Snakemake

flag path, or the separately pinned Snakemake v2 tutorial track.

1. Define a typed interface

• Annotate every workflow and task input and output.
• Keep module import time free of network calls, data mutations, and secret

retrieval. Isolate documented exceptions such as workflow_reference, which resolves the active workspace when its decorator is evaluated.

• Use dataclasses and enums for structured parameters.

1. Configure metadata and resources

• Match metadata parameter keys to the workflow signature.
• Start with named task decorators, then use custom_task only when measured

requirements justify it.

1. Validate in the execution image

Fresh Nextflow and Snakemake projects must generate their version-compatible Python entrypoint before staging. In SDK 2.76.8, the staging branch does not generate one from --nf-script or --snakefile.

bash latch register --staging . latch develop .

Re-run staging registration after changing the Dockerfile or dependencies. Edits made inside the development container are not synced back.

1. Register deliberately

bash latch register --yes --open .

Useful controls:

bash latch register --workspace-id 12345 . latch register --mark-as-release . latch register --workflow-module wf.custom_entrypoint .

Duplicate registration exits with status 2; it is not the same as a build failure.

1. Launch only after reviewing cost and parameters

• Prefer the Console or Latch MCP for interactive operation.
• Prefer latch_cli.services.launch.launch_v2 for Python automation.
• Do not use the deprecated latch launch CLI as a new integration pattern.

1. Monitor and verify

• Check terminal status, task logs, result links, and scientific outputs.
• Treat successful orchestration as necessary but not sufficient scientific

validation.

Operational Safety

• Ask for confirmation before launching paid compute, especially GPU or large

batch runs.

• Ask for confirmation before LPath.rmr, latch rmr, Registry deletion, or

overwriting shared destinations.

• Never log secrets, SDK tokens, signed URLs, or secret values.
• Call get_secret() only inside a task, use the returned value only for its

intended service, and never return it as workflow output.

• Do not pass untrusted strings through shell commands. Prefer argument lists

with subprocess.run(..., check=True).

• Pin the SDK and workflow dependencies for releases. Upgrade only after

reviewing the changelog and re-running staging tests.

• Treat generated files as generated: customize the documented extension file

rather than editing output that the CLI will overwrite.

Inspect the Installed SDK

From this skill directory:

bash
uv run --no-project --python 3.12 --with "latch==2.76.8" \
  python scripts/inspect_latch_sdk.py

Use JSON output for automated comparisons:

bash
uv run --no-project --python 3.12 --with "latch==2.76.8" \
  python scripts/inspect_latch_sdk.py --json

Authoritative Sources

• Documentation index: https://wiki.latch.bio/llms.txt
• Workflow and SDK guides: https://wiki.latch.bio/workflows/overview
• SDK API reference: https://wiki.latch.bio/reference/sdk
• PyPI package: https://pypi.org/project/latch/
• SDK 2.76.8 release source: https://github.com/latchbio/latch/tree/0faa9dcd8186444ac008f50adf95d43f0fa30e06
• SDK changelog: https://github.com/latchbio/latch/blob/0faa9dcd8186444ac008f50adf95d43f0fa30e06/CHANGELOG.md
• Latch Console: https://console.latch.bio