91 lines
2 KiB
Python
91 lines
2 KiB
Python
"""
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OpenRAG Python SDK.
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A Python client library for the OpenRAG API.
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Usage:
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from openrag_sdk import OpenRAGClient
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# Using environment variables (OPENRAG_API_KEY, OPENRAG_URL)
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async with OpenRAGClient() as client:
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# Non-streaming chat
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response = await client.chat.create(message="What is RAG?")
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print(response.response)
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# Streaming chat with context manager
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async with client.chat.stream(message="Explain RAG") as stream:
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async for text in stream.text_stream:
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print(text, end="")
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# Search
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results = await client.search.query("document processing")
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# Ingest document
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await client.documents.ingest(file_path="./report.pdf")
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# Get settings
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settings = await client.settings.get()
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"""
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from .client import OpenRAGClient
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from .exceptions import (
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AuthenticationError,
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NotFoundError,
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OpenRAGError,
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RateLimitError,
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ServerError,
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ValidationError,
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)
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from .models import (
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AgentSettings,
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ChatResponse,
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ContentEvent,
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Conversation,
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ConversationDetail,
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ConversationListResponse,
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DeleteDocumentResponse,
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DoneEvent,
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IngestResponse,
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KnowledgeSettings,
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Message,
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SearchFilters,
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SearchResponse,
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SearchResult,
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SettingsResponse,
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Source,
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SourcesEvent,
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StreamEvent,
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)
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__version__ = "0.1.0"
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__all__ = [
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# Main client
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"OpenRAGClient",
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# Exceptions
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"OpenRAGError",
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"AuthenticationError",
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"RateLimitError",
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"NotFoundError",
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"ValidationError",
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"ServerError",
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# Models
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"ChatResponse",
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"ContentEvent",
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"SourcesEvent",
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"DoneEvent",
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"StreamEvent",
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"Source",
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"SearchResponse",
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"SearchResult",
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"SearchFilters",
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"IngestResponse",
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"DeleteDocumentResponse",
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"Conversation",
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"ConversationDetail",
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"ConversationListResponse",
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"Message",
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"SettingsResponse",
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"AgentSettings",
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"KnowledgeSettings",
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]
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