The Latitude Python SDK provides a convenient way to interact with the Latitude platform from your Python applications.

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Installation

The Latitude SDK is compatible with Python 3.9 or higher. 
pip install latitude-sdk
# or
poetry add latitude-sdk
# or
uv add latitude-sdk

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Authentication and Initialization

Import the SDK and initialize it with your API key. You can generate API keys in your Latitude project settings under “API Access”. 
import os
from latitude_sdk import Latitude

latitude = Latitude(os.getenv("LATITUDE_API_KEY"))
You can also provide additional options during initialization: 
latitude = Latitude(os.getenv("LATITUDE_API_KEY"), LatitudeOptions(
    project_id=12345, # Your Latitude project ID
    version_uuid="optional-version-uuid", # Optional version UUID
)) # Keep your API key secure and avoid committing it directly into your codebase.
Both project_id and version_uuid options can be overridden on a per-method basis when needed.

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Examples

Check out our Examples section for more examples of how to use the Latitude SDK.

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SDK Usage

The Latitude Python SDK is an async library by design. This means you must use it within an async event loop, such as FastAPI or Async Django. Another option is to use the built-in asyncio library. 
import asyncio
from latitude_sdk import Latitude

latitude = Latitude("your-api-key-here")

async def main():
    prompt = await latitude.prompts.get("prompt-path")
    print(prompt)

asyncio.run(main())

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SDK Structure

The Latitude SDK is organized into several namespaces:
  • prompts: Methods for managing and running prompts
  • logs: Methods for pushing logs to Latitude
  • evaluations: Methods for pushing evaluation results to Latitude
  • projects: Methods for managing projects
  • versions: Methods for managing project versions

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Prompt Management

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Get a Prompt

To retrieve a specific prompt by its path: 
prompt = await latitude.prompts.get('prompt-path')

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Get All Prompts

To retrieve all prompts in your project: 
prompts = await latitude.prompts.get_all()

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Get or Create a Prompt

To get an existing prompt or create a new one if it doesn’t exist: 
prompt = await latitude.prompts.get_or_create('prompt-path')
You can also provide the content when creating a new prompt: 
prompt = await latitude.prompts.get_or_create('prompt-path', GetOrCreatePromptOptions(
    prompt='This is the content of my new prompt',
))

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Version Management

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Get All Versions

To retrieve all versions from a project: 
versions = await latitude.versions.get_all()
You can also specify a different project ID: 
versions = await latitude.versions.get_all(GetAllVersionsOptions(
    project_id=123,
))

​
Running Prompts

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Non-Streaming Run

Execute a prompt and get the complete response once generation is finished: 
async def on_finished(result: FinishedResult):
    print('Run completed:', result.uuid)

async def on_error(error: ApiError):
    print('Run error:', error.message)

result = await latitude.prompts.run('prompt-path', RunPromptOptions(
    parameters={
        'productName': 'CloudSync Pro',
        'audience': 'Small Business Owners',
    },
    # Optional: Provide a custom identifier for this run
    custom_identifier='email-campaign-2023',
    # Optional: Provide callbacks for events
    on_finished=on_finished,
    on_error=on_error,
))

print('Conversation UUID:', result.uuid)
print('Conversation messages:', result.conversation)

​
Handling Streaming Responses

For real-time applications (like chatbots), use streaming to get response chunks as they are generated: 
async def on_event(event: StreamEvent):
    # Provider event
    if isinstance(event, dict) and event.get("type") == "text-delta":
        print(event)

    # Latitude event
    elif isinstance(event, ChainEventChainCompleted):
        print("Conversation UUID:", event.uuid)
        print("Conversation messages:", event.messages)

async def on_finished(result: FinishedResult):
    print('Stream completed:', result.uuid)

async def on_error(error: ApiError):
    print('Stream error:', error.message)

await latitude.prompts.run('prompt-path', RunPromptOptions(
    parameters={
        'productName': 'CloudSync Pro',
        'audience': 'Small Business Owners',
    },
    # Enable streaming
    stream=True,
    # Provide callbacks for events
    on_event=on_event,
    on_finished=on_finished,
    on_error=on_error,
))

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Using Tools with Prompts

You can provide tool handlers that the model can call during execution: 
async def get_weather(arguments: Dict[str, Any], details: OnToolCallDetails) -> Dict[str, Any]:
    # `arguments` contains the arguments passed by the model
    # `details` contains context like tool id, name, messages...
    # The result can be anything JSON serializable
    return { "weather": "sunny" }

await latitude.prompts.run('prompt-path', RunPromptOptions(
    parameters={
        'query': 'What is the weather in San Francisco?',
    },
    # Define the tools the model can use
    tools={
        'getWeather': get_weather,
    },
))

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Chat with a Prompt

Follow the conversation of a runned prompt: 
messages = [
    {
        'role': 'user',
        'content': 'Hello, how can you help me today?',
    },
]

async def on_finished(result: FinishedResult):
    print('Chat completed:', result.uuid)

async def on_error(error: ApiError):
    print('Chat error:', error.message)

result = await latitude.prompts.chat('conversation-uuid', messages, ChatPromptOptions(
    # Chat options are similar to the run method
    on_finished=on_finished,
    on_error=on_error,
))

print('Conversation UUID:', result.uuid)
print('Conversation messages:', result.conversation)
Messages follow the PromptL format. If you’re using a different method to run your prompts, you’ll need to format your messages accordingly.

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Rendering Prompts

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Prompt Rendering

Render a prompt locally without running it: 
result = await latitude.prompts.render(
    'Your prompt content here with {{ parameters }}',
    RenderPromptOptions(
        parameters={
            'topic': 'Artificial Intelligence',
            'tone': 'Professional',
        },
        # Optional: Specify a provider adapter
        adapter=Adapter.OpenAI,
))

print('Rendered config:', result.config)
print('Rendered messages:', result.messages)

​
Chain Rendering

Render a chain of prompts locally: 
async def on_step(messages: list[MessageLike], config: dict[str, Any]) -> str | MessageLike:
    # Process each step in the chain
    print('Processing step with messages:', messages)
    # Return a string or a message object
    return 'Step response'

result = await latitude.prompts.render_chain(
    Prompt(
        path='prompt-path',
        content='Your prompt content here with {{ parameters }}',
        provider='openai',
    ),
    on_step,
    RenderChainOptions(
        parameters={
            'topic': 'Machine Learning',
            'complexity': 'Advanced',
        },
        # Optional: Specify a provider adapter
        adapter=Adapter.OpenAI,
))

print('Rendered config:', result.config)
print('Rendered messages:', result.messages)

​
Logging

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Creating Logs

Push a log to Latitude manually for a prompt: 
messages = [
    {
        'role': 'user',
        'content': 'Hello, how can you help me today?',
    },
]

log = await latitude.logs.create('prompt-path', messages, CreateLogOptions(
    response='I can help you with anything!',
))

​
Evaluations

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Annotate a log

Push an evaluation result (annotate) to Latitude: 
result = await sdk.evaluations.annotate(
    'conversation-uuid',
    4, # In this case, the score is 4 out of 5
    "evaluation-uuid",
    AnnotateEvaluationOptions(reason="I liked it!"),
)

​
Complete Method Reference

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Initialization

# SDK initialization
class GatewayOptions:
    host: str
    port: int
    ssl: bool

class InternalOptions:
    gateway: Optional[GatewayOptions]
    retries: Optional[int]
    delay: Optional[float]
    timeout: Optional[float]

class LatitudeOptions:
    promptl: Optional[PromptlOptions]
    internal: Optional[InternalOptions]
    project_id: Optional[int]
    version_uuid: Optional[str]
    tools: Optional[dict[str, OnToolCall]]

Latitude(
    api_key: str,
    options: Optional[LatitudeOptions]
)

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Prompts Namespace

# Get a prompt
class GetPromptOptions:
    project_id: Optional[int]
    version_uuid: Optional[str]

class GetPromptResult:
    uuid: str
    path: str
    content: str
    config: dict[str, Any]
    parameters: dict[str, PromptParameter]
    provider: Optional[Providers]

latitude.prompts.get(
    path: str,
    options: Optional[GetPromptOptions]
) -> GetPromptResult

# Get all prompts
class GetAllPromptsOptions:
    project_id: Optional[int]
    version_uuid: Optional[str]

latitude.prompts.get_all(
    options: Optional[GetAllPromptsOptions]
) -> List[GetPromptResult]

# Get or create a prompt
class GetOrCreatePromptOptions:
    project_id: Optional[int]
    version_uuid: Optional[str]
    prompt: Optional[str]

class GetOrCreatePromptResult:
    uuid: str
    path: str
    content: str
    config: dict[str, Any]
    parameters: dict[str, PromptParameter]
    provider: Optional[Providers]

latitude.prompts.get_or_create(
    path: str,
    options: Optional[GetOrCreatePromptOptions]
) -> GetOrCreatePromptResult

# Run a prompt
class RunPromptOptions:
    project_id: Optional[int]
    version_uuid: Optional[str]
    on_event: Optional[OnEvent]
    on_finished: Optional[OnFinished]
    on_error: Optional[OnError]
    custom_identifier: Optional[str]
    parameters: Optional[dict[str, Any]]
    tools: Optional[dict[str, OnToolCall]]
    stream: Optional[bool]

class RunPromptResult:
    uuid: str
    conversation: List[Message]
    response: ChainResponse

latitude.prompts.run(
    path: str,
    options: Optional[RunPromptOptions]
) -> Optional[RunPromptResult]

# Chat with a prompt
class ChatPromptOptions:
    on_event: Optional[OnEvent]
    on_finished: Optional[OnFinished]
    on_error: Optional[OnError]
    tools: Optional[dict[str, OnToolCall]]
    stream: Optional[bool]

class ChatPromptResult:
    uuid: str
    conversation: List[Message]
    response: ChainResponse

latitude.prompts.chat(
    uuid: str,
    messages: Sequence[MessageLike],
    options: Optional[ChatPromptOptions]
) -> Optional[ChatPromptResult]

# Render a prompt
class RenderPromptOptions:
    parameters: Optional[dict[str, Any]]
    adapter: Optional[Adapter]

class RenderPromptResult:
    messages: List[MessageLike]
    config: dict[str, Any]

latitude.prompts.render(
    prompt: str,
    options: Optional[RenderPromptOptions]
) -> RenderPromptResult

# Render a chain
class RenderChainOptions:
    parameters: Optional[dict[str, Any]]
    adapter: Optional[Adapter]

class RenderChainResult:
    messages: List[MessageLike]
    config: dict[str, Any]

latitude.prompts.render_chain(
    prompt: Prompt,
    on_step: OnStep,
    options: Optional[RenderChainOptions]
) -> RenderChainResult

​
Projects Namespace

# Get all projects
latitude.projects.get_all(
) -> List[Project]

# Create a project
class CreateProjectResult:
    project: Project
    version: Version

latitude.projects.create(
    name: str
) -> CreateProjectResult

# Get all versions for a project
latitude.projects.get_all_versions(
    project_id: int
) -> List[Version]

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Logs Namespace

# Create a log
class CreateLogOptions:
    project_id: Optional[int]
    version_uuid: Optional[str]
    response: Optional[str]

class CreateLogResult:
    id: int
    uuid: str
    source: Optional[LogSources]
    commit_id: int
    resolved_content: str
    content_hash: str
    parameters: dict[str, Any]
    custom_identifier: Optional[str]
    duration: Optional[int]
    created_at: datetime
    updated_at: datetime

latitude.logs.create(
    path: str,
    messages: Sequence[MessageLike],
    options: Optional[CreateLogOptions]
) -> CreateLogResult

​
Evaluations Namespace

class AnnotateEvaluationOptions:
    reason: str

class AnnotateEvaluationResult:
    uuid: str
    version_uuid: str
    score: int
    normalized_score: int
    metadata: dict[str, Any]
    has_passed: bool
    error: Optional[str]
    created_at: datetime
    updated_at: datetime

latitude.evaluations.annotate(
    uuid: str,
    score: int,
    evaluation_uuid: str,
    options: Optional[AnnotateEvaluationOptions]
) -> AnnotateEvaluationResult

​
Versions Namespace

class GetAllVersionsOptions:
    project_id: Optional[int]

latitude.versions.get_all(
    options: Optional[GetAllVersionsOptions]
) -> List[Version]

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Error Handling

The SDK raises ApiError instances when API requests fail. You can catch and handle these errors: 
from latitude_sdk import ApiError

async def handle_errors():
    try:
        prompt = await latitude.prompts.get("non-existent-prompt")
    except ApiError as error:
        print(f"API Error: {error.message}")
        print(f"Error Code: {error.code}")
        print(f"Status: {error.status}")
    except Exception as error:
        print(f"Unexpected error: {error}")

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Logging Features

  • Automatic Logging: All runs through latitude.prompts.run() are automatically logged in Latitude, capturing inputs, outputs, performance metrics, and trace information.
  • Custom Identifiers: Use the optional custom_identifier parameter to tag runs for easier filtering and analysis in the Latitude dashboard.
  • Response Identification: Each response includes identifying information like uuid that can be used to reference the specific run later.

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Further Information