Installation

from tracia import Tracia

client = Tracia(api_key="tr_your_api_key_here")

import os
from tracia import Tracia

client = Tracia(api_key=os.environ["TRACIA_API_KEY"])

with Tracia(api_key="tr_your_api_key") as client:
    result = client.run_local(
        model="gpt-4o",
        messages=[{"role": "user", "content": "Hello!"}]
    )
    print(result.text)
# Resources cleaned up automatically

async with Tracia(api_key="tr_your_api_key") as client:
    result = await client.arun_local(
        model="gpt-4o",
        messages=[{"role": "user", "content": "Hello!"}]
    )
    print(result.text)

from tracia import Tracia

client = Tracia(api_key="tr_your_api_key")

# Sync
result = client.run_local(model="gpt-4o", messages=[...])
prompts = client.prompts.list()

# Async
result = await client.arun_local(model="gpt-4o", messages=[...])
prompts = await client.prompts.alist()

from tracia import (
    Tracia,
    TraciaSession,
    TraciaError,
    TraciaErrorCode,
    Eval,
    # Streaming
    LocalStream,
    AsyncLocalStream,
    # Core types
    LLMProvider,
    TokenUsage,
    FinishReason,
    # Message types
    LocalPromptMessage,
    ContentPart,
    TextPart,
    ToolCallPart,
    # Tool types
    ToolDefinition,
    ToolCall,
    ToolChoice,
    # Run local types
    RunLocalInput,
    RunLocalResult,
    StreamResult,
    # Span types
    Span,
    ListSpansOptions,
    ListSpansResult,
    EvaluateOptions,
    EvaluateResult,
    # Prompt types
    Prompt,
    PromptListItem,
    PromptMessage,
    CreatePromptOptions,
    UpdatePromptOptions,
    RunOptions,
    RunResult,
)