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00a1a22b74
* refactor: carve out extraction panel * refactor: create spec versions for node types * refactor: create a GenericNode and remove custom nodes * feat: add python and typescript sdk * add dograh sdk * fix: fetch draft workflow definition over published one * fix: fix routes of SDKs to use code gen * chore: remove doclink dependency to reduce image size * chore: format files * chore: bump pipecat * feat: let mcp fetch archived workflows on demand * chore: fix tests * feat: add sdk documentation * chore: change banner and add badge
35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
"""Dograh SDK — typed builder for voice-AI workflows.
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Runtime SDK: fetches the spec catalog from the Dograh backend at session
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start and validates every `Workflow.add()` call against it. LLMs don't
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need to import per-node-type classes — the `type` argument is a string
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keyed against the fetched spec catalog.
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from dograh_sdk import DograhClient, Workflow
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with DograhClient(base_url="http://localhost:8000", api_key=...) as client:
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wf = Workflow(client=client, name="loan_qualification")
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start = wf.add(type="startCall", name="greeting", prompt="...")
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qualify = wf.add(type="agentNode", name="qualify", prompt="...")
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wf.edge(start, qualify, label="interested", condition="...")
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client.save_workflow(workflow_id=123, workflow=wf)
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For typed IDE autocomplete, generate per-node dataclasses via the SDK
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codegen (Phase 6) — the runtime and typed SDKs share this same core.
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"""
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from .client import DograhClient
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from .errors import ApiError, DograhSdkError, SpecMismatchError, ValidationError
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from .typed._base import TypedNode
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from .workflow import NodeRef, Workflow
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__all__ = [
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"ApiError",
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"DograhClient",
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"DograhSdkError",
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"NodeRef",
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"SpecMismatchError",
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"TypedNode",
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"ValidationError",
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"Workflow",
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]
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