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Run predictions using your HTTP endpoints with DSPy that fit the way your team already works

With DSPy in Aptlystar, you can:

3 operations0 triggersAuth: api-key

About DSPy

DSPy is a framework for programming—rather than prompting—language models.

What teams automate with DSPy

  • Run custom predictions: Connect your DSPy HTTP server and invoke prediction endpoints for a variety of natural language tasks.
  • Chain of Thought and ReAct reasoning: Leverage advanced DSPy modules for step-by-step reasoning, multi-turn dialogs, and action-observation loops.
  • Integrate with your workflows: Automate LLM predictions and reasoning as part of any Aptlystar automation or agent routine.
  • Provide custom endpoints and context: Flexibly call your own DSPy-powered APIs with custom authentication, endpoints, input fields, and context.

How teams use DSPy

Integrate with your DSPy programs over HTTP for LLM-powered predictions. Supports Predict, Chain of Thought, and ReAct agents. DSPy is the framework for programming—not prompting—language models.

What can you do with the DSPy integration?

What can you do with the DSPy integration? DSPy is a framework for programming—rather than prompting—language models. DSPy enables you to build interpretable and modular LLM-powered agents using Python functions, structured modules, and declarative signatures, making it easy to compose, debug, and reliably deploy language model applications. With DSPy in Aptlystar, you can: AptlyStar exposes 3 operations so teams can automate end-to-end processes without maintaining brittle scripts.

Automate & integrate DSPy

Compose DSPy with the rest of your stack using visual workflows and agents.

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Automate on events

React to webhooks and polling triggers the moment something happens.

  • Predict
  • Chain of Thought
  • ReAct Agent
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DSPy create & update records

Insert, upsert, and patch objects so workflows stay synchronized automatically.

  • ReAct Agent
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DSPy manage lifecycle

Archive, delete, merge, and reconcile records with guardrails and approvals.

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    DSPy notify & orchestrate

    Trigger downstream actions, alerts, and hand-offs when something changes.

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      DSPy analyze & report

      Aggregate metrics, export datasets, and feed BI or agent summaries.

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        DSPy automate on events

        React to webhooks and polling triggers the moment something happens.

          Build DSPy agents

          Ship AI workflows that read, decide, and act on DSPy — with guardrails and human approvals where you need them.

          DSPy structured extraction

          Build a workflow that reads raw records from a table, runs a DSPy predict program on your self-hosted server to extract structured fields from each, and writes the typed results back to the table.

          Explore templates

          DSPy evaluation harness

          Create a workflow that runs a DSPy program against a labeled evals table, computes accuracy, F1, and per-class breakdowns, and writes the metrics to a reporting table for tracking over iterations.

          Explore templates

          DSPy A/B program selector

          Create a scheduled workflow that runs two DSPy program endpoints against the same eval set nightly, scores each on accuracy, and writes the head-to-head comparison and recommended winner to a table.

          Explore templates

          DSPy production traffic replay

          Build a workflow that periodically replays sample production traces through a DSPy program, captures divergences, and writes regression analysis to a tracking file.

          Explore templates

          DSPy + LangSmith trace harness

          Create a workflow that runs a DSPy program over an eval set, logs each prediction as a LangSmith trace for evaluation, captures the quality delta against the previous run, and writes the comparison to engineering Slack.

          Explore templates

          DSPy reasoning research agent

          Create a workflow that takes a research question, uses DSPy chain-of-thought to break it into sub-questions, runs DSPy ReAct with web search to gather evidence, and writes a structured, cited answer to a file.

          Explore templates

          Ready to solve your DSPy integration challenges?

          Connect DSPy once, then reuse the same blocks across agents, workflows, and templates.

          Challenges AptlyStar solves

          Keep DSPy in sync with the rest of your stack

          Teams lose hours copying data between DSPy and CRMs, inboxes, and spreadsheets. AptlyStar connects DSPy to 3+ operations so updates flow automatically.

          Learn more

          Scale DSPy automations without custom glue code

          One-off scripts break when APIs change. Use visual workflows, retries, and typed blocks so DSPy automations stay maintainable as you grow.

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          Give AI agents secure, scoped access to DSPy

          Agents need live DSPy context without over-permissioned keys. Connect credentials once, apply guardrails, and let agents act through audited workflow runs.

          Learn more

          Featured DSPy templates

          Ready-to-use workflow templates that include DSPy, just like in the app.

          DSPy structured extraction

          Build a workflow that reads raw records from a table, runs a DSPy predict program on your self-hosted server to extract structured fields from each, and writes the typed results ba...

          Browse templates

          DSPy evaluation harness

          Create a workflow that runs a DSPy program against a labeled evals table, computes accuracy, F1, and per-class breakdowns, and writes the metrics to a reporting table for tracking ...

          Browse templates

          DSPy A/B program selector

          Create a scheduled workflow that runs two DSPy program endpoints against the same eval set nightly, scores each on accuracy, and writes the head-to-head comparison and recommended ...

          Browse templates

          DSPy production traffic replay

          Build a workflow that periodically replays sample production traces through a DSPy program, captures divergences, and writes regression analysis to a tracking file.

          Browse templates

          DSPy + LangSmith trace harness

          Create a workflow that runs a DSPy program over an eval set, logs each prediction as a LangSmith trace for evaluation, captures the quality delta against the previous run, and writ...

          Browse templates

          DSPy ticket classifier

          Build a workflow that runs new support tickets through a DSPy predict signature to classify category, urgency, and sentiment with structured outputs, then routes each ticket to the...

          Browse templates

          DSPy plugs into the whole AptlyStar platform

          Visual workflow builder

          Design multi-step automations with blocks, branches, loops, and human-in-the-loop checkpoints — no boilerplate code.

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          AI agents that act

          Give agents tools, memory, and guardrails so they can plan, call integrations, and finish tasks across your stack.

          Learn more

          Knowledge & observability

          Ground agents in docs and tables, then trace every run with logs, evaluations, and deployment controls.

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          See DSPy working across your stack

          Connect DSPy to agents and workflows in minutes — no credit card required.