query_result

# Basic iteration
log_stream = LogStream.get(name="Production Logs", project_name="My AI Project")
result = log_stream.get_spans(limit=10)

for record in result:
    print(record["id"], record["input"])

# Index access
first_record = result[0]
print(first_record["created_at"])

# Pagination (in-place - extends the current result)
if result.has_next_page:
    result.next_page()
    print(f"Now have {len(result)} records after fetching next page")

# Pagination (with assignment - same object returned)
result = log_stream.get_spans(limit=10)
if result.has_next_page:
    result = result.next_page()
    for record in result:
        print(record["id"])

# Check pagination status
print(f"Total records in this page: {len(result)}")
print(f"Has next page: {result.has_next_page}")

def has_next_page(self) -> bool

def last_row_id(self) -> str | None

def limit(self) -> int

def next_page(self) -> QueryResult

# In-place usage (mutates the result)
result = log_stream.get_spans(limit=10)
if result.has_next_page:
    result.next_page()
    print(f"Now have {len(result)} records")

# Assignment usage (same object, supports chaining)
result = log_stream.get_spans(limit=10)
if result.has_next_page:
    result = result.next_page()
    for record in result:
        print(record["id"])

def next_starting_token(self) -> int | None

def paginated(self) -> bool

def starting_token(self) -> int

def to_list(self) -> list[dict[str, Any]]

result = log_stream.get_spans()
records_list = result.to_list()