diff --git a/litellm/tracing/types.py b/litellm/tracing/types.py
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+"""
+Agent tracing types.
+
+A trace is one agent run. It's made of spans (agent / llm / tool / chain / framework).
+LLM spans that went through LiteLLM carry a `LiteLLMRequest`: the spend-log row for that
+call, joined on the provider response id.
+
+    Trace
+    ├── summary: TraceSummary
+    ├── agents:  list[AgentNode]      one per distinct agent name (for the agent graph)
+    └── spans:   list[Span]           flat, linked by parent_span_id
+                 └── litellm: LiteLLMRequest | None     (llm spans only)
+
+See `litellm/tracing/README.md` for the full contract with example JSON.
+"""
+
+from typing import Literal
+
+from typing_extensions import TypedDict
+
+SpanType = Literal["agent", "llm", "tool", "chain", "framework"]
+SpanStatus = Literal["ok", "error", "unset"]
+
+
+class LiteLLMRequest(TypedDict):
+    """The LiteLLM side of an LLM span: joined from spend logs by response id."""
+
+    request_id: str
+    model: str
+    model_group: str
+    provider: str
+    key_alias: str
+    team_alias: str
+    spend: float
+    prompt_tokens: int
+    completion_tokens: int
+    cache_read_tokens: int
+    cache_write_tokens: int
+    latency_ms: int
+    ttft_ms: int | None
+    status: str
+
+
+class Span(TypedDict):
+    span_id: str
+    parent_span_id: str | None
+    name: str
+    type: SpanType
+    agent: str  # the agent this span runs inside, e.g. "researcher"
+    start_offset_ms: float  # relative to trace start
+    duration_ms: float
+    status: SpanStatus
+    error: str | None  # exception message when status == "error"
+    input_preview: str
+    model: str | None
+    input_tokens: int
+    output_tokens: int
+    litellm: LiteLLMRequest | None
+
+
+class AgentNode(TypedDict):
+    """One distinct agent in a trace. 200 invocations of `researcher` = one node."""
+
+    name: str
+    parent_agent: str | None
+    invocations: int
+    llm_calls: int
+    tool_calls: int
+    spend: float
+    duration_ms: float
+
+
+class TraceSummary(TypedDict):
+    trace_id: str
+    name: str
+    service: str
+    input_preview: str
+    start_time: str  # ISO 8601
+    duration_ms: float
+    status: SpanStatus
+    span_count: int
+    agent_count: int  # distinct agent names (researcher x200 counts once)
+    agent_invocations: int  # agent spans (researcher x200 counts 200)
+    llm_calls: int
+    tool_calls: int
+    error_count: int  # spans with an error status; > 0 means the run shows as failed
+    input_tokens: int
+    output_tokens: int
+    spend: float
+    models: list[str]
+
+
+class Trace(TypedDict):
+    summary: TraceSummary
+    agents: list[AgentNode]
+    spans: list[Span]
+
+
+class TracePage(TypedDict):
+    data: list[TraceSummary]
+    next_cursor: str | None
+
+
+class SpanDetail(TypedDict):
+    span_id: str
+    input: str
+    output: str
+    attributes: dict[str, str]
+
+
+class TraceScope(TypedDict):
+    """Who is asking. Empty team_ids = all teams (admins only)."""
+
+    team_ids: list[str]
+    api_key_hash: str
+
+
+class SpanRow(TypedDict):
+    """One stored span (ClickHouse `otel_traces` row). Produced by `litellm.tracing.decode`."""
+
+    Timestamp: int  # unix ns
+    TraceId: str
+    SpanId: str
+    ParentSpanId: str
+    TraceState: str
+    SpanName: str
+    SpanKind: str
+    ServiceName: str
+    ResourceAttributes: dict[str, str]
+    ScopeName: str
+    ScopeVersion: str
+    SpanAttributes: dict[str, str]
+    Duration: int  # ns
+    StatusCode: str
+    StatusMessage: str
+    TeamId: str
+    ApiKeyHash: str
+    ObservationType: SpanType
+    AgentName: str
+    LiteLLMRequestId: str
+    Model: str
+    InputTokens: int
+    OutputTokens: int
+    Input: str
+    Output: str
+
+
+class SpendLogRecord(TypedDict):
+    """One LiteLLM request, as written by the `clickhouse` logging callback."""
+
+    request_id: str
+    response_id: str
+    call_type: str
+    api_key: str
+    key_alias: str
+    team_id: str
+    team_alias: str
+    organization_id: str
+    user: str
+    end_user: str
+    model: str
+    model_group: str
+    model_id: str
+    custom_llm_provider: str
+    api_base: str
+    spend: float
+    prompt_tokens: int
+    completion_tokens: int
+    total_tokens: int
+    cache_read_tokens: int
+    cache_write_tokens: int
+    start_time: int  # unix ms
+    end_time: int  # unix ms
+    completion_start_time: int | None
+    status: str
+    error_str: str
+    cache_hit: bool
+    session_id: str
+    trace_id: str  # from an incoming W3C traceparent, if any
+    span_id: str
+    request_tags: list[str]
+    metadata: str
+    messages: str
+    response: str