Seqera
Scientists and engineers ask about pipeline status, compute environments, and workflow progress all day. Your AI agent connects to Seqera Platform and delivers live answers. Pipeline monitoring becomes conversational, freeing researchers to focus on science instead of dashboards.
Your AI agent connects to Seqera Platform to surface pipeline runs, compute environments, and organizational data in natural language responses.
Seqera
See how research teams use AI agents to stay on top of Seqera pipeline runs, compute resources, and workflow progress without leaving their chat window.
A bioinformatician started a whole-genome analysis before leaving the lab. The next morning, they ask 'Did my pipeline finish?' Your AI Agent checks the Seqera workflow list for their workspace, finds the matching run, and reports completion status with total runtime and output location. No need to VPN in or open the Seqera dashboard.
A researcher is ready to run a resource-heavy proteomics pipeline but is unsure which environment to use. They ask the agent 'What compute environments can I launch on?' The agent lists all active environments from Seqera with cloud provider, region, and current status, helping the researcher choose the right infrastructure without asking IT.
A new team member asks 'What pipelines does our lab have for variant calling?' Your AI Agent searches the Seqera pipeline catalog by keyword, finds matching workflows with descriptions and last-run dates, and provides a clear summary. The researcher discovers existing resources instead of rebuilding workflows from scratch.
Seqera
FAQs
The agent uses Seqera Platform's workflow listing API to retrieve runs filtered by workspace. It can show completion status, runtime, and whether errors occurred. When you ask about a specific run, the agent matches by name or timestamp to find the right workflow entry.
Yes. The agent queries Seqera's compute environment listing endpoint and returns all environments with their type (AWS Batch, Google Life Sciences, etc.), current status, and region. This helps you pick the right infrastructure without opening the Seqera UI.
The agent needs a Seqera Platform access token with read permissions for your organization. Generate one from your Seqera account settings under Tokens. The token grants the agent access to list pipelines, workflows, and compute environments within your permitted workspaces.
No. Tars queries Seqera in real time during conversations. Pipeline metadata like run status and durations are fetched live and used only for the current response. Your genomics data and pipeline outputs remain in your own storage infrastructure.
Yes. As long as your access token has visibility into multiple workspaces, the agent can list workflows, pipelines, and compute environments from any of them. Specify which workspace you want to query, and the agent scopes the request accordingly.
The dashboard requires you to log in, navigate to the right workspace, and find the specific run. The AI agent gives you the same information through a simple question in Slack or any chat interface. It also connects to your other tools like GitHub or Jira for broader context.
The current integration focuses on read operations like listing pipelines, workflows, and compute environments. Pipeline launching requires additional API permissions and is planned for future releases. The agent can still guide you through the launch process.
The agent uses Seqera's pagination and search parameters to filter results. Ask for a specific pipeline by name or keyword, and the agent narrows the results instead of returning everything. It handles large catalogs by focusing on what is relevant to your question.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
.png)
%201.png)
%201.png)
