update instruction

agentlightning/adapter/triplet.py

@@ -505,6 +505,30 @@ class TraceTree:
 
         return rewards
 
+    def span_to_triplet(self, span: Span, agent_name: str) -> Triplet:
+        """Convert a span to a triplet.
+
+        Subclass can override this method to add more fields to the triplet,
+        such as chat messages and tool calls.
+        """
+        prompt_token_ids = span.attributes.get("prompt_token_ids", [])  # type: ignore
+        response_token_ids = span.attributes.get("response_token_ids", [])  # type: ignore
+        response_id = span.attributes.get("gen_ai.response.id", None)  # type: ignore
+
+        logprobs_content = span.attributes.get("logprobs.content", None)  # type: ignore
+        if isinstance(logprobs_content, str):
+            logprobs_content = json.loads(logprobs_content)
+            response: Dict[str, Any] = {"token_ids": response_token_ids, "logprobs": logprobs_content}
+        else:
+            response = {"token_ids": response_token_ids}
+
+        return Triplet(
+            prompt={"token_ids": prompt_token_ids},
+            response=response,
+            reward=None,
+            metadata=dict(response_id=response_id, agent_name=agent_name),
+        )
+
     def to_trajectory(
         self,
         llm_call_match: str = r"openai\.chat\.completion",
@@ -537,23 +561,9 @@ class TraceTree:
             within_llm_call=False if dedup_llm_call else None,
             existing_llm_call_response_ids=set(),
         )
-        id_transitions = [
-            (
-                llm_call.id,
-                Triplet(
-                    prompt={"token_ids": llm_call.span.attributes.get("prompt_token_ids", [])},  # type: ignore
-                    response={"token_ids": llm_call.span.attributes.get("response_token_ids", [])},  # type: ignore
-                    reward=None,
-                    metadata=dict(
-                        response_id=llm_call.span.attributes.get(  # type: ignore
-                            "gen_ai.response.id", None
-                        ),  # it works at least for OpenAI
-                        agent_name=agent_name,
-                    ),
-                ),
-            )
-            for llm_call, agent_name in llm_calls
-        ]
+        id_transitions: List[Tuple[str, Triplet]] = []
+        for llm_call, agent_name in llm_calls:
+            id_transitions.append((llm_call.id, self.span_to_triplet(llm_call.span, agent_name)))
 
         rewards = self.match_rewards(reward_match, [call for call, _ in llm_calls])
         transitions = [

agentlightning/instrumentation/agentops.py

@@ -2,12 +2,13 @@
 
 from __future__ import annotations
 
+import json
 import logging
 import multiprocessing
 import signal
 import socket
 import time
-from typing import Any, Callable
+from typing import Any, Callable, no_type_check
 
 import flask
 import requests
@@ -40,41 +41,58 @@ def _patch_new_agentops():
 
     _original_handle_chat_attributes = handle_chat_attributes  # type: ignore
 
+    @no_type_check
     def _handle_chat_attributes_with_tokens(args=None, kwargs=None, return_value=None, **kws):  # type: ignore
-        attributes = _original_handle_chat_attributes(args=args, kwargs=kwargs, return_value=return_value, **kws)  # type: ignore
-        if return_value is not None and hasattr(return_value, "prompt_token_ids"):  # type: ignore
-            attributes["prompt_token_ids"] = list(return_value.prompt_token_ids)  # type: ignore
-        if return_value is not None and hasattr(return_value, "response_token_ids"):  # type: ignore
-            attributes["response_token_ids"] = list(return_value.response_token_ids[0])  # type: ignore
+        attributes = _original_handle_chat_attributes(args=args, kwargs=kwargs, return_value=return_value, **kws)
+        if return_value is not None and hasattr(return_value, "prompt_token_ids"):
+            attributes["prompt_token_ids"] = list(return_value.prompt_token_ids)
+        if return_value is not None and hasattr(return_value, "response_token_ids"):
+            attributes["response_token_ids"] = list(return_value.response_token_ids[0])
 
         # For LiteLLM Proxy (v0.2) with vLLM return_token_ids, response_token_ids now lives in choices
         if (
-            not attributes.get("response_token_ids")
-            and return_value is not None
-            and hasattr(return_value, "choices")  # type: ignore
-            and return_value.choices  # type: ignore
-            and isinstance(return_value.choices, list)  # type: ignore
+            return_value is not None
+            and hasattr(return_value, "choices")
+            and return_value.choices
+            and isinstance(return_value.choices, list)
         ):
-            first_choice = return_value.choices[0]  # type: ignore
-            if hasattr(first_choice, "token_ids"):  # type: ignore
-                attributes["response_token_ids"] = list(first_choice.token_ids)  # type: ignore
-            # newer versions of OpenAI client SDK
-            elif hasattr(first_choice, "provider_specific_fields") and "token_ids" in first_choice.provider_specific_fields:  # type: ignore
-                attributes["response_token_ids"] = list(first_choice.provider_specific_fields["token_ids"])  # type: ignore
+            first_choice = return_value.choices[0]
+            # Token IDs from "choices[0].token_ids"
+            if "response_token_ids" not in attributes:
+                if hasattr(first_choice, "token_ids"):
+                    attributes["response_token_ids"] = list(first_choice.token_ids)
+                # newer versions of OpenAI client SDK
+                elif (
+                    hasattr(first_choice, "provider_specific_fields")
+                    and "token_ids" in first_choice.provider_specific_fields
+                ):
+                    attributes["response_token_ids"] = list(first_choice.provider_specific_fields["token_ids"])
+
+            # log probability
+            # This is temporarily. We need a unified conventions for classifying and naming logprobs.
+            if hasattr(first_choice, "logprobs"):
+                if first_choice.logprobs.content:
+                    attributes["logprobs.content"] = json.dumps(
+                        [logprob.model_dump() for logprob in first_choice.logprobs.content]
+                    )
+                if first_choice.logprobs.refusal:
+                    attributes["logprobs.refusal"] = json.dumps(
+                        [logprob.model_dump() for logprob in first_choice.logprobs.refusal]
+                    )
 
         # For LiteLLM, response is a openai._legacy_response.LegacyAPIResponse
         if (
             return_value is not None
-            and hasattr(return_value, "http_response")  # type: ignore
-            and return_value.http_response is not None  # type: ignore
-            and hasattr(return_value.http_response, "json")  # type: ignore
+            and hasattr(return_value, "http_response")
+            and return_value.http_response is not None
+            and hasattr(return_value.http_response, "json")
         ):
-            json_data = return_value.http_response.json()  # type: ignore
+            json_data = return_value.http_response.json()
             if isinstance(json_data, dict):
                 if "prompt_token_ids" in json_data:
-                    attributes["prompt_token_ids"] = list(json_data["prompt_token_ids"])  # type: ignore
+                    attributes["prompt_token_ids"] = list(json_data["prompt_token_ids"])
                 if "response_token_ids" in json_data:
-                    attributes["response_token_ids"] = list(json_data["response_token_ids"][0])  # type: ignore
+                    attributes["response_token_ids"] = list(json_data["response_token_ids"][0])
 
         return attributes
 

agentlightning/llm_proxy.py

@@ -528,6 +528,7 @@ class LLMProxy:
         host: str | None = None,
         litellm_config: Dict[str, Any] | None = None,
         num_retries: int = 0,
+        _add_return_token_ids: bool = True,
     ):
         self.store = store
         self.host = host or _get_default_ipv4_address()
@@ -544,6 +545,8 @@ class LLMProxy:
         self._uvicorn_server = None
         self._ready_event = threading.Event()
 
+        self._add_return_token_ids = _add_return_token_ids
+
     def get_store(self) -> Optional[LightningStore]:
         """Get the store used by the proxy.
 
@@ -637,7 +640,7 @@ class LLMProxy:
             logger.info("Adding a new middleware to the FastAPI app.")
             app.add_middleware(RolloutAttemptMiddleware)
 
-        if not initialize_llm_callbacks():
+        if not initialize_llm_callbacks(self._add_return_token_ids):
             # If it's not the first time to initialize the callbacks, also
             # reset LiteLLM's logging worker so its asyncio.Queue binds to the new loop.
             _reset_litellm_logging_worker()
@@ -827,13 +830,17 @@ def set_active_llm_proxy(proxy: LLMProxy) -> None:
     _global_llm_proxy = proxy
 
 
-def initialize_llm_callbacks() -> bool:
+def initialize_llm_callbacks(_add_return_token_ids: bool = True) -> bool:
     """Restore `litellm.callbacks` to a state that is just initialized by agent-lightning.
 
     When litellm is restarted multiple times in the same process, more and more callbacks
     will be appended to `litellm.callbacks`, which may exceed the MAX_CALLBACKS limit.
     This function remembers the initial state of `litellm.callbacks` and always restore to that state.
 
+    Args:
+        _add_return_token_ids: Whether to add the return token ids callback. Internal use only.
+        Ideally the callback should automatically be enabled when the backend supports it.
+
     Returns:
         Whether the callbacks are initialized for the first time.
     """
@@ -845,6 +852,10 @@ def initialize_llm_callbacks() -> bool:
                 AddReturnTokenIds(),
                 LightningOpenTelemetry(),
             ]
+            if _add_return_token_ids
+            else [
+                LightningOpenTelemetry(),
+            ]
         )
         _callbacks_before_litellm_start = [*litellm.callbacks]  # type: ignore
         return True

examples/.gitignore

@@ -9,3 +9,11 @@ unsloth/models/
 unsloth/unsloth_compiled_cache/
 unsloth/unsloth_training_checkpoints/
 apo/pomltrace/
+tinker/logs/
+tinker/crewai_*.html
+!tinker/logs/*_20251026.jsonl
+!tinker/logs/*_20251027.jsonl
+!tinker/logs/*_20251028.jsonl
+!tinker/logs/*_20251029.jsonl
+!tinker/logs/*_20251030.jsonl
+!tinker/logs/*_20251031.jsonl

examples/tinker/agl_tinker/__init__.py

@@ -0,0 +1 @@
+# Copyright (c) Microsoft. All rights reserved.

examples/tinker/agl_tinker/env.py

@@ -0,0 +1,142 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from __future__ import annotations
+
+import logging
+from random import Random
+from typing import Generic, Optional, Sequence, TypeVar
+
+import chz
+import pandas as pd
+from tinker_cookbook.rl.types import (
+    Action,
+    Env,
+    EnvGroupBuilder,
+    Observation,
+    RLDataset,
+    RLDatasetBuilder,
+    StepResult,
+    StopCondition,
+)
+
+from agentlightning import Dataset
+
+T_task = TypeVar("T_task")
+
+logger = logging.getLogger(__name__)
+
+
+class AGLDummyEnv(Env, Generic[T_task]):
+
+    def __init__(self, task: T_task) -> None:
+        self.task = task
+
+    async def initial_observation(self) -> tuple[Observation, StopCondition]:
+        raise NotImplementedError("This method is not implemented for AGLDummyEnv")
+
+    async def step(self, action: Action) -> StepResult:
+        raise NotImplementedError("This method is not implemented for AGLDummyEnv")
+
+
+class AGLDummyEnvGroupBuilder(EnvGroupBuilder, Generic[T_task]):
+
+    def __init__(self, task: T_task, num_envs: int) -> None:
+        self.task = task
+        self.num_envs = num_envs
+
+    async def make_envs(self) -> Sequence[AGLDummyEnv[T_task]]:
+        return [AGLDummyEnv(self.task) for _ in range(self.num_envs)]
+
+
+class AGLDataset(RLDataset, Generic[T_task]):
+    """A dataset that produces batches of AGLDummyEnvGroupBuilder."""
+
+    def __init__(
+        self, dataset: Dataset[T_task], *, batch_size: int, shuffle: bool = True, group_size: int = 4, seed: int = 42
+    ) -> None:
+        self.dataset = dataset
+        self.batch_size = batch_size
+        self.shuffle = shuffle
+        self.group_size = group_size
+
+        if shuffle:
+            self.indices = list(range(len(self.dataset)))
+            Random(seed).shuffle(self.indices)
+        else:
+            self.indices = list(range(len(self.dataset)))
+
+    def get_batch(self, index: int) -> Sequence[AGLDummyEnvGroupBuilder[T_task]]:
+        start_index = index * self.batch_size
+        end_index = min((index + 1) * self.batch_size, len(self.dataset))
+        return [
+            AGLDummyEnvGroupBuilder(self.dataset[self.indices[i]], self.group_size)
+            for i in range(start_index, end_index)
+        ]
+
+    def __len__(self) -> int:
+        return len(self.dataset) // self.batch_size
+
+
+@chz.chz
+class AGLDatasetBuilder(RLDatasetBuilder, Generic[T_task]):
+
+    batch_size: int
+    train_file: Optional[str] = None
+    val_file: Optional[str] = None
+    train_dataset: Optional[Dataset[T_task]] = None
+    val_dataset: Optional[Dataset[T_task]] = None
+    train_val_split: float = 0.7
+    shuffle: bool = True
+    group_size: int = 4
+    seed: int = 42
+
+    def _read_file(self, file: str) -> Dataset[T_task]:
+        """Read a file and return a dataset.
+
+        Supports parquet, csv and jsonl files.
+        """
+        if file.endswith(".parquet"):
+            return pd.read_parquet(file).to_dict(orient="records")  # type: ignore
+        elif file.endswith(".csv"):
+            return pd.read_csv(file).to_dict(orient="records")  # type: ignore
+        elif file.endswith(".jsonl"):
+            return pd.read_json(file, lines=True).to_dict(orient="records")  # type: ignore
+        else:
+            raise ValueError(f"Unsupported file type: {file}")
+
+    async def __call__(self) -> tuple[AGLDataset[T_task], AGLDataset[T_task]]:
+        if self.train_file is not None:
+            train_dataset = self._read_file(self.train_file)
+        elif self.train_dataset is not None:
+            train_dataset = self.train_dataset
+        else:
+            raise ValueError("No train dataset provided")
+
+        if self.val_file is not None:
+            val_dataset = self._read_file(self.val_file)
+        elif self.val_dataset is not None:
+            val_dataset = self.val_dataset
+        else:
+            indices = list(range(len(train_dataset)))
+            Random(self.seed).shuffle(indices)
+            val_indices = sorted(indices[int(len(indices) * self.train_val_split) :])
+            train_indices = sorted(indices[: int(len(indices) * self.train_val_split)])
+            logger.warning(
+                "No validation dataset provided, splitting train dataset into train (%d) and validation (%d)",
+                len(train_indices),
+                len(val_indices),
+            )
+            train_dataset = [train_dataset[i] for i in train_indices]
+            val_dataset = [train_dataset[i] for i in val_indices]
+
+        return (
+            AGLDataset(
+                train_dataset,
+                batch_size=self.batch_size,
+                shuffle=self.shuffle,
+                group_size=self.group_size,
+                seed=self.seed,
+            ),
+            # For validation, always use batch_size=len(val_dataset) and group_size=1 to avoid dropping or repeating any samples
+            AGLDataset(val_dataset, batch_size=len(val_dataset), shuffle=False, group_size=1),
+        )

examples/tinker/agl_tinker/llm.py

@@ -0,0 +1,204 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from __future__ import annotations
+
+import logging
+import uuid
+from typing import Any, Callable, Dict, List, Literal, Type, TypeGuard, TypeVar, cast
+
+import litellm
+import tinker
+from litellm.llms.custom_llm import CustomLLM
+from litellm.types.utils import ChatCompletionMessageToolCall, ChatCompletionTokenLogprob
+from litellm.types.utils import ChoiceLogprobs as LitellmChoiceLogprobs
+from litellm.types.utils import Choices
+from litellm.types.utils import Message as LitellmMessage
+from litellm.types.utils import ModelResponse
+from litellm.utils import custom_llm_setup
+from pydantic import TypeAdapter
+from tinker.types import ModelInput, SampleResponse, SamplingParams
+from tinker_cookbook.renderers import Message as TinkerMessage
+from tinker_cookbook.renderers import Renderer
+from tinker_cookbook.renderers import ToolCall as TinkerToolCall
+from transformers import PreTrainedTokenizer
+
+from agentlightning.llm_proxy import ModelConfig
+
+logger = logging.getLogger(__name__)
+
+T = TypeVar("T")
+
+
+def generate_id(prefix: str) -> str:
+    return prefix + str(uuid.uuid4())
+
+
+class TinkerLLM(CustomLLM):
+    def __init__(
+        self,
+        *,
+        model_name: str,
+        renderer: Renderer,
+        tokenizer: PreTrainedTokenizer,
+        sampling_client: tinker.SamplingClient,
+        max_tokens: int = 2048,
+        temperature: float = 1.0,
+        top_k: int = -1,
+        top_p: float = 1.0,
+        seed: int = 42,
+    ) -> None:
+        self.model_name = model_name
+        self.renderer = renderer
+        self.tokenizer = tokenizer
+        self.sampling_client = sampling_client
+        self.max_tokens = max_tokens
+        self.temperature = temperature
+        self.top_k = top_k
+        self.top_p = top_p
+        self.seed = seed
+
+    def update_sampling_client(self, sampling_client: tinker.SamplingClient) -> None:
+        self.sampling_client = sampling_client
+
+    def _validate_messages(self, messages: Any) -> TypeGuard[List[TinkerMessage]]:
+        TypeAdapter(List[TinkerMessage]).validate_python(messages)
+        # Exception will be raised if validation fails
+        return True
+
+    def _validate_role(self, role: str) -> TypeGuard[Literal["assistant", "user", "system", "tool", "function"]]:
+        if role not in ["assistant", "user", "system", "tool", "function"]:
+            raise ValueError(f"Invalid role: {role}")
+        return True
+
+    def _parse_tool_call(self, tool_call: TinkerToolCall) -> ChatCompletionMessageToolCall:
+        if set(tool_call.keys()) != {"name", "args"}:
+            logger.warning(f"Found unexpected tool call keys: {tool_call.keys()}")
+        return ChatCompletionMessageToolCall(
+            id=generate_id("tinker-tool-call-"),
+            function={
+                "name": tool_call["name"],
+                "arguments": tool_call["args"],
+            },
+            type="function",
+        )
+
+    def _get_optional_params(
+        self,
+        kwargs: Dict[str, Any],
+        keys: List[str],
+        expected_type: Type[T],
+        validate_fn: Callable[[T], bool],
+        default_value: T,
+    ) -> T:
+        optional_params = cast(Dict[str, Any], kwargs.get("optional_params", {}))
+        if not isinstance(optional_params, dict):  # type: ignore
+            raise ValueError(f"Invalid optional params type: {type(optional_params)}")
+        for key in keys:
+            if key in optional_params:
+                value = optional_params[key]
+                if not isinstance(value, expected_type):
+                    raise ValueError(f"Invalid {key} type: {type(value)}")
+                if not validate_fn(value):
+                    raise ValueError(f"Invalid {key}. Did not pass validation: {value}")
+                return value
+        return default_value
+
+    def _prepare_model_input(self, **kwargs: Any) -> ModelInput:
+        messages = kwargs.pop("messages", None)
+        if self._validate_messages(messages):
+            return self.renderer.build_generation_prompt(messages)
+        else:
+            assert False, "This should never happen"
+
+    def _parse_response(self, model_input: ModelInput, response: SampleResponse) -> ModelResponse:
+        choices: List[Choices] = []
+        for seq in response.sequences:
+            if seq.logprobs is not None:
+                token_strings: List[str] = self.tokenizer.batch_decode([token] for token in seq.tokens)  # type: ignore
+                # FIXME: This might not be accurate for some corner cases.
+                # But it's not actually used in most cases.
+                bytes_list: List[List[int]] = [list(token.encode("utf-8")) for token in token_strings]
+                logprobs = LitellmChoiceLogprobs(
+                    content=[
+                        ChatCompletionTokenLogprob(
+                            token=token,
+                            bytes=bytes,
+                            logprob=logprob,
+                            top_logprobs=[],
+                        )
+                        for token, bytes, logprob in zip(token_strings, bytes_list, seq.logprobs)
+                    ]
+                )
+            else:
+                logprobs = None
+
+            parsed_response, parse_success = self.renderer.parse_response(seq.tokens)
+            if parse_success:
+                role = parsed_response["role"]
+                if not self._validate_role(role):
+                    assert False, "This should never happen"
+                content = parsed_response["content"]
+                tool_calls = parsed_response.get("tool_calls", None)
+                if tool_calls:
+                    tool_calls = [self._parse_tool_call(tool_call) for tool_call in tool_calls]
+                choices.append(
+                    Choices(
+                        message=LitellmMessage(role=role, content=content, tool_calls=tool_calls),
+                        finish_reason=seq.stop_reason,
+                        logprobs=logprobs,
+                        token_ids=seq.tokens,
+                    )
+                )
+            else:
+                logger.warning(f"Failed to parse response: {parsed_response}")
+                # Go with the default path
+                choices.append(
+                    Choices(
+                        message=LitellmMessage(role="assistant", content=parsed_response["content"]),
+                        finish_reason=seq.stop_reason,
+                        logprobs=logprobs,
+                        token_ids=seq.tokens,
+                    )
+                )
+        return ModelResponse(
+            id=generate_id("tinker-sampling-"), choices=choices, prompt_token_ids=model_input.to_ints()
+        )
+
+    async def acompletion(self, **kwargs: Any) -> ModelResponse:  # type: ignore
+        max_tokens = self._get_optional_params(
+            kwargs, ["max_completion_tokens", "max_tokens"], int, lambda x: x >= 0, self.max_tokens
+        )
+        temperature = self._get_optional_params(
+            kwargs, ["temperature"], float, lambda x: 0.0 <= x <= 2.0, self.temperature
+        )
+        top_k = self._get_optional_params(kwargs, ["top_k"], int, lambda x: True, self.top_k)
+        top_p = self._get_optional_params(kwargs, ["top_p"], float, lambda x: 0.0 <= x <= 1.0, self.top_p)
+        seed = self._get_optional_params(kwargs, ["seed"], int, lambda _: True, self.seed)
+        model_input = self._prepare_model_input(**kwargs)
+        params = SamplingParams(
+            max_tokens=max_tokens,
+            temperature=temperature,
+            top_k=top_k,
+            top_p=top_p,
+            seed=seed,
+            stop=self.renderer.get_stop_sequences(),
+        )
+        result = await self.sampling_client.sample_async(prompt=model_input, sampling_params=params, num_samples=1)
+        final_response = self._parse_response(model_input, result)
+        return final_response
+
+    def as_model_list(self) -> List[ModelConfig]:
+        return [
+            {
+                "model_name": self.model_name,
+                "litellm_params": {
+                    "model": f"agl-tinker/{self.model_name}",
+                },
+            }
+        ]
+
+    def rewrite_litellm_custom_providers(self) -> TinkerLLM:
+        """Update the custom provider map within LiteLLM."""
+        litellm.custom_provider_map = [{"provider": "agl-tinker", "custom_handler": self}]
+        custom_llm_setup()
+        return self

examples/tinker/agl_tinker/rollout.py

@@ -0,0 +1,263 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from __future__ import annotations
+
+import asyncio
+import itertools
+import logging
+import random
+from typing import Any, Generic, List, Sequence, TypeVar, cast
+
+from tinker.types import ModelInput
+from tinker_cookbook.completers import TokensWithLogprobs
+from tinker_cookbook.rl.data_processing import remove_constant_reward_groups
+from tinker_cookbook.rl.metric_util import compute_trajectory_metrics
+from tinker_cookbook.rl.types import (
+    Trajectory,
+    TrajectoryGroup,
+    Transition,
+)
+from tinker_cookbook.utils.trace import scope
+
+from agentlightning import LightningStore, Span, TraceToTripletBase
+from agentlightning import Triplet as AGLTriplet
+from agentlightning.types.core import RolloutMode
+
+from .env import AGLDataset, AGLDummyEnv, AGLDummyEnvGroupBuilder
+
+logger = logging.getLogger(__name__)
+
+T_task = TypeVar("T_task")
+
+WAIT_FOR_ROLLOUTS_INTERVAL = 5.0
+
+
+def reconstruct_transitions(
+    spans: List[Span], adapter: TraceToTripletBase, rollout_id: str, identical_credit_assignment: bool = True
+) -> Trajectory:
+    """Reconstruct the transitions from the spans.
+
+    Args:
+        spans: The spans to reconstruct the transitions from.
+        adapter: The adapter to use to reconstruct the transitions.
+        rollout_id: The ID of the rollout.
+        identical_credit_assignment: Whether to assign the reward from later triplets to earlier triplets.
+            See [Agent-lightning's paper](https://arxiv.org/abs/2508.03680) for details.
+
+    Returns:
+        Tinker trajectory.
+    """
+    triplets: List[AGLTriplet] = adapter.adapt(spans)
+    # We need to reconstruct the input and output tokens (+logprobs) from the triplets
+    transitions: list[Transition] = []
+
+    # Initialize to a non-zero reward
+    last_reward: float = 0.0
+
+    for i_triplet, triplet in reversed(list(enumerate(triplets))):
+        if "token_ids" not in triplet.prompt or "token_ids" not in triplet.response:
+            logger.error(f"[Rollout {rollout_id}] Triplet has no token_ids: {triplet}")
+            continue
+        # Getting the input and output tokens from the triplet
+        input_tokens = ModelInput.from_ints(triplet.prompt["token_ids"])
+        output_tokens = triplet.response["token_ids"]
+        # Logprobs sometimes are available too.
+        if "logprobs" not in triplet.response:
+            logger.warning(f"[Rollout {rollout_id}] Triplet has no logprobs: {triplet}")
+            logprobs = None
+        else:
+            logprobs = [prob["logprob"] for prob in triplet.response["logprobs"]]
+            if len(logprobs) != len(output_tokens):
+                logger.warning(
+                    f"[Rollout {rollout_id}] Triplet has {len(logprobs)} logprobs "
+                    f"but {len(output_tokens)} output tokens: {triplet}"
+                )
+                logprobs = None
+        output_tokens_with_logprobs = TokensWithLogprobs(tokens=output_tokens, maybe_logprobs=logprobs)
+
+        if triplet.reward is None:
+            if identical_credit_assignment:
+                # takes from the next non-null reward
+                this_reward = last_reward
+            else:
+                # Assume it to be zero
+                this_reward = 0.0
+        else:
+            this_reward = triplet.reward
+
+        transitions.append(
+            Transition(
+                ob=input_tokens,
+                ac=output_tokens_with_logprobs,
+                reward=this_reward,
+                episode_done=i_triplet + 1 == len(triplets),
+            )
+        )
+
+        if identical_credit_assignment and triplet.reward is not None:
+            last_reward = triplet.reward
+
+    # The final observation is empty input tokens
+    return Trajectory(transitions=transitions[::-1], final_ob=ModelInput.from_ints([]))
+
+
+async def agl_single_rollout(
+    llm_resources_id: str,
+    env: AGLDummyEnv[Any],
+    *,
+    store: LightningStore,
+    adapter: TraceToTripletBase,
+    mode: RolloutMode,
+) -> Trajectory:
+    """Under Agent-lightning, there is no such thing as a "env".
+    The "env" here is a simple wrapper around a task.
+    """
+    rollout = await store.enqueue_rollout(env.task, mode=mode, resources_id=llm_resources_id)
+
+    while True:
+        completed_rollout = await store.get_rollout_by_id(rollout.rollout_id)
+        if completed_rollout is not None and completed_rollout.status in ["succeeded", "failed", "cancelled"]:
+            break
+
+        # Wait until the rollout is completed
+        # This should be a slightly large number to avoid busy-waiting.
+        # Add a small jitter to avoid synchronized waiting.
+        jitter = random.uniform(0.9, 1.1)
+        await asyncio.sleep(WAIT_FOR_ROLLOUTS_INTERVAL * jitter)
+
+    if completed_rollout.status != "succeeded":
+        logger.error(f"[Rollout {rollout.rollout_id}] Failed with status {completed_rollout.status}")
+    else:
+        logger.debug(
+            f"[Rollout {rollout.rollout_id}] Rollout succeeded under "
+            f"{cast(float, completed_rollout.end_time) - completed_rollout.start_time:.2f} seconds"
+        )
+
+    spans = await store.query_spans(rollout.rollout_id, "latest")
+    if not spans:
+        logger.error(f"[Rollout {rollout.rollout_id}] No spans found. Return an empty trajectory.")
+        return Trajectory(transitions=[], final_ob=ModelInput.from_ints([]))
+
+    triplets = adapter.adapt(spans)
+    logger.debug(
+        f"[Rollout {rollout.rollout_id}] Adapted {len(triplets)} triplets from {len(spans)} spans. "
+        f"Rewards are: {[t.reward for t in triplets]}"
+    )
+
+    # Converting triplets to Tinker transitions
+    reconstructed = reconstruct_transitions(spans, adapter, rollout.rollout_id)
+    logger.info(
+        f"[Rollout {rollout.rollout_id}] Reconstructed {len(reconstructed.transitions)} transitions from {len(spans)} spans. "
+        f"Rewards are: {[r.reward for r in reconstructed.transitions]}"
+    )
+    return reconstructed
+
+
+@scope
+async def do_group_of_group_rollouts(
+    env_group_builders_P: Sequence[AGLDummyEnvGroupBuilder[Any]],
+    llm_resources_id: str,
+    i_batch: int,
+    *,
+    store: LightningStore,
+    adapter: TraceToTripletBase,
+    mode: RolloutMode,
+    do_remove_constant_reward_groups: bool = False,
+    concurrency: int = 16,
+) -> List[TrajectoryGroup]:
+    """
+    Run rollouts for multiple env groups with a global concurrency limit that controls
+    how many agl_single_rollout tasks may run at once (across *all* groups).
+
+    Returns a list of TrajectoryGroup objects (one per env_group_builder), optionally
+    filtered to remove groups whose trajectories all have the same reward.
+    """
+    # 1) Build all envs upfront (does not consume concurrency).
+    groups_envs: List[Sequence[AGLDummyEnv[Any]]] = []
+    for i, builder in enumerate(env_group_builders_P):
+        envs = await builder.make_envs()
+        if not envs:
+            logger.warning(
+                f"[Batch {i_batch} {mode}] [Group {i}] Builder produced no envs; "
+                "returning empty group after compute step."
+            )
+        groups_envs.append(envs)
+
+    # 2) Create a global semaphore to cap concurrent single rollouts.
+    sem = asyncio.Semaphore(concurrency)
+
+    # 3) For each env in each group, prepare a task that respects the semaphore.
+    async def run_single_with_limit(env: AGLDummyEnv[Any]) -> Trajectory:
+        async with sem:
+            return await agl_single_rollout(
+                llm_resources_id,
+                env,
+                store=store,
+                adapter=adapter,
+                mode=mode,
+            )
+
+    # We keep tasks organized per group so we can compute group rewards afterward.
+    per_group_tasks: List[List[asyncio.Task[Trajectory]]] = []
+    for group_idx, envs in enumerate(groups_envs):
+        tasks = [asyncio.create_task(run_single_with_limit(env)) for env in envs]
+        per_group_tasks.append(tasks)
+
+    # 4) Await all groups, but still allow interleaving via the shared semaphore.
+    trajectory_groups: List[TrajectoryGroup] = []
+    for group_idx, (builder, tasks) in enumerate(zip(env_group_builders_P, per_group_tasks)):
+        trajectories_G = await asyncio.gather(*tasks)
+        # Compute rewards/metrics for this group.
+        rewards_and_metrics_G = await builder.compute_group_rewards(trajectories_G)
+        rewards_G, metrics_G = zip(*rewards_and_metrics_G, strict=True)
+        tg = TrajectoryGroup(trajectories_G, list(rewards_G), list(metrics_G))
+        trajectory_groups.append(tg)
+        logger.info(
+            f"[Batch {i_batch} {mode}] [Group {group_idx}] Completed {len(trajectories_G)} trajectories; "
+            f"rewards: {[[trans.reward for trans in traj.transitions] for traj in trajectories_G]}"
+        )
+
+    # 5) Optional filtering of constant-reward groups (same behavior as before).
+    if do_remove_constant_reward_groups:
+        before = len(trajectory_groups)
+        trajectory_groups = remove_constant_reward_groups(trajectory_groups)
+        after = len(trajectory_groups)
+        logger.info(
+            f"[Batch {i_batch} {mode}] [Filter] Removed {before - after} constant-reward group(s); {after} remaining."
+        )
+
+    return trajectory_groups
+
+
+def dataset_to_env_group_builders(dataset: AGLDataset[T_task]) -> list[AGLDummyEnvGroupBuilder[T_task]]:
+    """
+    Get the whole dataset as a list of env group builders.
+    """
+    return list(itertools.chain(*[dataset.get_batch(i) for i in range(len(dataset))]))
+
+
+class AGLTestSetEvaluator(Generic[T_task]):
+    """Run an evaluation on a test set."""
+
+    def __init__(self, dataset: AGLDataset[T_task], name: str | None = None):
+        self.env_group_builders_P = dataset_to_env_group_builders(dataset)
+        self.name = name
+
+    async def __call__(
+        self, llm_resources_id: str, store: LightningStore, adapter: TraceToTripletBase, mode: RolloutMode, i_batch: int
+    ) -> dict[str, float]:
+        trajectory_groups_P = await do_group_of_group_rollouts(
+            self.env_group_builders_P,
+            llm_resources_id,
+            i_batch=i_batch,
+            store=store,
+            adapter=adapter,
+            mode=mode,
+            do_remove_constant_reward_groups=False,
+        )
+        taglist_P = [builder.logging_tags() for builder in self.env_group_builders_P]
+        metrics = compute_trajectory_metrics(trajectory_groups_P, taglist_P)
+
+        if self.name is not None:
+            metrics = {f"{self.name}/{k}": v for k, v in metrics.items()}
+        return metrics

examples/tinker/agl_tinker/train.py

@@ -0,0 +1,402 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""RL training main loop with Tinker API.
+
+This script is based on Tinker Cookbook's [`rl_train.py` script](https://github.com/thinking-machines-lab/tinker-cookbook/blob/9b2af83cb62b9c4e8325a0efab71429e5aedf289/tinker_cookbook/rl/train.py),
+with modifications on how the rollout is collected.
+
+Environments are not used at all because Agent-lightning handles "environment" has part of user agent's logic.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import logging
+import os
+import time
+from typing import Any, Literal, Sequence
+
+import chz
+import tinker
+from tinker_cookbook import checkpoint_utils
+from tinker_cookbook.renderers import get_renderer
+from tinker_cookbook.rl.data_processing import (
+    assemble_training_data,
+    compute_advantages,
+)
+from tinker_cookbook.rl.metric_util import compute_trajectory_metrics
+from tinker_cookbook.rl.metrics import incorporate_kl_penalty
+from tinker_cookbook.rl.train import (
+    compute_full_batch_metrics_and_get_sampling_client,
+    print_group,
+    save_checkpoint_and_get_sampling_client,
+    train_step,
+)
+from tinker_cookbook.rl.types import (
+    EnvGroupBuilder,
+    TrajectoryGroup,
+)
+from tinker_cookbook.tokenizer_utils import Tokenizer
+from tinker_cookbook.utils import ml_log
+from tinker_cookbook.utils.misc_utils import timed
+from tinker_cookbook.utils.trace import get_scope_context, scope, trace_init
+
+from agentlightning import LightningStore, LightningStoreClient, LLMProxy, TracerTraceToTriplet, TraceToTripletBase
+
+from .env import AGLDataset, AGLDatasetBuilder
+from .llm import TinkerLLM
+from .rollout import AGLTestSetEvaluator, do_group_of_group_rollouts
+
+logger = logging.getLogger(__name__)
+
+
+@chz.chz
+class Config:
+    learning_rate: float
+    dataset_builder: AGLDatasetBuilder[Any]  # also determines batch size
+    model_name: str
+    renderer_name: str
+    compute_post_kl: bool = False
+    lora_rank: int = 32
+    llm_proxy_port: int = 12306
+
+    kl_penalty_coef: float = 0.0
+    kl_discount_factor: float = 0.0
+
+    # Sampling parameters
+    max_tokens: int = 2048
+    temperature: float = 1.0
+    top_k: int = -1
+    top_p: float = 1.0
+
+    # Agent-lightning parameters (only used in when running standalone)
+    store_address: str = "http://localhost:4747"
+    adapter_agent_match: str | None = None
+
+    # Concurrency parameters (mainly for controlling max queue length)
+    concurrency: int = 16
+
+    # Loss function to use for training: "importance_sampling" or "ppo"
+    loss_fn: Literal["importance_sampling", "ppo"] = "importance_sampling"
+
+    # Number of optimizer steps per training iteration.
+    # Useful for very large batch sizes.
+    num_substeps: int = 1
+
+    wandb_project: str | None = None
+    wandb_name: str | None = None
+
+    log_path: str = chz.field(munger=lambda _, s: os.path.expanduser(s))
+    base_url: str | None = None
+    enable_trace: bool = False
+
+    remove_constant_reward_groups: bool = False
+    eval_every: int = 20
+    save_every: int = 20
+    load_checkpoint_path: str | None = None
+
+
+@scope
+async def prepare_minibatch(
+    env_group_builders_P: Sequence[EnvGroupBuilder],
+    trajectory_groups_P: list[TrajectoryGroup],
+    tokenizer: Tokenizer,
+    service_client: tinker.ServiceClient,
+    model_name: str,
+    kl_penalty_coef: float,
+    kl_discount_factor: float,
+) -> tuple[list[tinker.Datum], dict[str, Any]]:
+    """Converts the trajectories into a minibatch, and provides metrics about the minibatch"""
+
+    # Compute trajectory metrics
+    metrics: dict[str, Any] = {}
+    taglist_P = [env_group_builder.logging_tags() for env_group_builder in env_group_builders_P]
+    metrics.update(compute_trajectory_metrics(trajectory_groups_P, taglist_P))
+
+    # Print one trajectory
+    for traj_group in trajectory_groups_P[:2]:
+        print_group(traj_group, tokenizer)
+
+    # Assemble training data
+    with timed("assemble_training_data", metrics):
+        advantages_P = compute_advantages(trajectory_groups_P)
+        data_D, _metadata_D = assemble_training_data(trajectory_groups_P, advantages_P)
+
+    # Incorporate KL penalty if configured
+    if kl_penalty_coef > 0:
+        with timed("kl_vs_base", metrics):
+            kl_penalty_metrics = await incorporate_kl_penalty(
+                data_D,
+                service_client.create_sampling_client(base_model=model_name),
+                # ^^^ TODO: replace with the model we load, if relevant
+                kl_penalty_coef,
+                kl_discount_factor,
+            )
+        metrics.update(kl_penalty_metrics)
+
+    return data_D, metrics
+
+
+@scope
+async def do_train_step_and_get_sampling_client(
+    cfg: Config,
+    i_batch: int,
+    training_client: tinker.TrainingClient,
+    service_client: tinker.ServiceClient,
+    tokenizer: Tokenizer,
+    env_group_builders_P: Sequence[EnvGroupBuilder],
+    trajectory_groups_P: list[TrajectoryGroup],
+) -> tuple[tinker.SamplingClient, dict[str, Any]]:
+    context = get_scope_context()
+    context.attributes["step"] = i_batch
+
+    metrics: dict[str, Any] = {}
+    data_D, prepare_minibatch_metrics = await prepare_minibatch(
+        env_group_builders_P,
+        trajectory_groups_P,
+        tokenizer,
+        service_client,
+        model_name=cfg.model_name,
+        kl_penalty_coef=cfg.kl_penalty_coef,
+        kl_discount_factor=cfg.kl_discount_factor,
+    )
+    metrics.update(prepare_minibatch_metrics)
+
+    with timed("train", metrics):
+        training_logprobs_D = await train_step(
+            data_D,
+            training_client,
+            cfg.learning_rate,
+            cfg.num_substeps,
+            cfg.loss_fn,
+        )
+
+    sampling_client, full_batch_metrics = await compute_full_batch_metrics_and_get_sampling_client(
+        training_client,
+        # NOTE: saving the checkpoint as the i + 1 step
+        i_batch + 1,
+        data_D,
+        training_logprobs_D,
+        cfg.log_path,
+        cfg.save_every,
+        cfg.compute_post_kl,
+    )
+    metrics.update(full_batch_metrics)
+
+    return sampling_client, metrics
+
+
+@scope
+async def do_sync_training(
+    *,
+    start_batch: int,
+    end_batch: int,
+    num_batches: int,
+    cfg: Config,
+    training_client: tinker.TrainingClient,
+    service_client: tinker.ServiceClient,
+    evaluators: list[AGLTestSetEvaluator[Any]],
+    dataset: AGLDataset[Any],
+    ml_logger: ml_log.Logger,
+    tokenizer: Tokenizer,
+    store: LightningStore,
+    adapter: TraceToTripletBase,
+    llm_proxy: LLMProxy,
+):
+    """Implements fully synchronous on-policy training"""
+
+    # Initial sampling client
+    logger.info(f"Creating sampling client with training client {training_client} and start batch {start_batch}")
+    sampling_client, _ = await save_checkpoint_and_get_sampling_client(
+        training_client, start_batch, cfg.log_path, cfg.save_every
+    )
+    logger.info(f"Creating renderer with name {cfg.renderer_name}")
+    renderer = get_renderer(cfg.renderer_name, tokenizer)
+
+    tinker_llm = TinkerLLM(
+        model_name=cfg.model_name,
+        sampling_client=sampling_client,
+        renderer=renderer,
+        tokenizer=tokenizer,
+        max_tokens=cfg.max_tokens,
+        temperature=cfg.temperature,
+        top_k=cfg.top_k,
+        top_p=cfg.top_p,
+    ).rewrite_litellm_custom_providers()
+
+    logger.info(f"Starting training from batch {start_batch} to {end_batch}")
+    for i_batch in range(start_batch, end_batch):
+        metrics = {
+            "progress/batch": i_batch,
+            "optim/lr": cfg.learning_rate,
+            "progress/done_frac": (i_batch + 1) / num_batches,
+        }
+        logger.info(f"[Batch {i_batch}] Starting training step. Learning rate: {cfg.learning_rate}")
+        t_start = time.time()
+
+        llm_proxy.update_model_list(tinker_llm.as_model_list())
+        llm_proxy.restart()
+
+        logger.info(f"[Batch {i_batch}] LiteLLM model list: {llm_proxy.model_list}")
+        llm_resource = llm_proxy.as_resource()
+        resources_update = await store.add_resources({"main_llm": llm_resource})
+
+        # Run evaluations
+        if cfg.eval_every > 0 and i_batch % cfg.eval_every == 0:
+            logger.info(f"[Batch {i_batch}] Running evaluations")
+            with timed("run_evals", metrics):
+                for evaluator in evaluators:
+                    eval_metrics = await evaluator(resources_update.resources_id, store, adapter, "val", i_batch)
+                    metrics.update({f"test/{k}": v for k, v in eval_metrics.items()})
+
+        # Get batch and sample trajectories
+        logger.info(f"[Batch {i_batch}] Getting batch data from dataset")
+        env_group_builders_P = dataset.get_batch(i_batch)
+        with timed("sample", metrics):
+            logger.info(f"[Batch {i_batch}] Sampling trajectories...")
+            trajectory_groups_P = await do_group_of_group_rollouts(
+                env_group_builders_P,
+                resources_update.resources_id,
+                i_batch,
+                store=store,
+                adapter=adapter,
+                mode="train",
+                do_remove_constant_reward_groups=cfg.remove_constant_reward_groups,
+                concurrency=cfg.concurrency,
+            )
+        logger.info(f"[Batch {i_batch}] Trajectories sampled: {len(trajectory_groups_P)}")
+
+        # Train step
+        logger.info(f"[Batch {i_batch}] Starting training step...")
+        sampling_client, train_step_metrics = await do_train_step_and_get_sampling_client(
+            cfg,
+            i_batch,
+            training_client,
+            service_client,
+            tokenizer,
+            env_group_builders_P,
+            trajectory_groups_P,
+        )
+        # Point Tinker LLM to a new model
+        tinker_llm.update_sampling_client(sampling_client)
+
+        # Log metrics
+        metrics.update(train_step_metrics)
+        metrics["time/total"] = time.time() - t_start
+        ml_logger.log_metrics(metrics, step=i_batch)
+        logger.info(f"[Batch {i_batch}] Sampling and training completed")
+
+    llm_proxy.stop()
+
+
+@scope
+async def main_training_loop(
+    cfg: Config,
+    store: LightningStore,
+    adapter: TraceToTripletBase,
+    llm_proxy: LLMProxy,
+):
+    """Main training loop for MDP RL."""
+    ml_logger = ml_log.setup_logging(
+        log_dir=cfg.log_path,
+        wandb_project=cfg.wandb_project,
+        config=cfg,
+        wandb_name=cfg.wandb_name,
+    )
+    if cfg.enable_trace:
+        # Get and rename the current (main) task
+        current_task = asyncio.current_task()
+        if current_task is not None:
+            current_task.set_name("main")
+        trace_events_path = os.path.join(cfg.log_path, "trace_events.jsonl")
+        logger.info(f"Tracing is enabled. Trace events will be saved to {trace_events_path}")
+        logger.info(
+            f"Run `python tinker_cookbook/utils/trace.py {trace_events_path} trace.json` and visualize in chrome://tracing or https://ui.perfetto.dev/"
+        )
+        trace_init(output_file=trace_events_path)
+
+    logging.getLogger("httpx").setLevel(logging.WARNING)
+    logging.getLogger("pylatexenc").setLevel(logging.WARNING)
+    logging.getLogger("LiteLLM").setLevel(logging.WARNING)
+    logging.getLogger("LiteLLM Router").setLevel(logging.WARNING)
+
+    resume_info = checkpoint_utils.get_last_checkpoint(cfg.log_path)
+    if resume_info:
+        start_batch = resume_info["batch"]
+    else:
+        start_batch = 0
+
+    logger.info(f"Creating service client with base URL {cfg.base_url}")
+    service_client = tinker.ServiceClient(base_url=cfg.base_url)
+    logger.info(f"Creating training client with model name {cfg.model_name} and rank {cfg.lora_rank}")
+    training_client = await service_client.create_lora_training_client_async(cfg.model_name, rank=cfg.lora_rank)
+
+    load_state_path: str | None = resume_info["state_path"] if resume_info else cfg.load_checkpoint_path
+    if load_state_path:
+        future = await training_client.load_state_async(load_state_path)
+        _ = await future.result_async()
+        logger.info(f"Loaded state from {load_state_path}")
+    else:
+        logger.info("No checkpoint found, starting from scratch")
+
+    # Get tokenizer from training client
+    tokenizer = training_client.get_tokenizer()
+    logger.info(f"Tokenizer created: {tokenizer}")
+
+    # Create dataset from thunk
+    dataset, test_dataset = await cfg.dataset_builder()
+    evaluators = [AGLTestSetEvaluator(test_dataset)]
+
+    num_batches = len(dataset)
+    logger.info(f"Will train on {num_batches} batches and test on {len(test_dataset)} batches")
+
+    # Training loop
+    await do_sync_training(
+        start_batch=start_batch,
+        end_batch=num_batches,
+        num_batches=num_batches,
+        cfg=cfg,
+        training_client=training_client,
+        service_client=service_client,
+        evaluators=evaluators,
+        dataset=dataset,
+        ml_logger=ml_logger,
+        tokenizer=tokenizer,
+        store=store,
+        adapter=adapter,
+        llm_proxy=llm_proxy,
+    )
+
+    # Save final checkpoint
+    if start_batch < num_batches:
+        logger.info(f"Saving final checkpoint to {cfg.log_path}/final.pt")
+        _ = await checkpoint_utils.save_checkpoint_async(
+            training_client=training_client,
+            name="final",
+            log_path=cfg.log_path,
+            kind="both",
+            loop_state={"batch": num_batches},
+        )
+    else:
+        logger.info("Training was already complete; nothing to do")
+
+    # Cleanup
+    ml_logger.close()
+    logger.info("Training completed successfully")
+
+
+@scope
+async def main(config: Config) -> None:
+    store = LightningStoreClient(config.store_address)
+    adapter = TracerTraceToTriplet(agent_match=config.adapter_agent_match)
+    llm_proxy = LLMProxy(
+        port=config.llm_proxy_port,
+        model_list=[],
+        store=store,
+    )
+
+    await main_training_loop(config, store, adapter, llm_proxy)
+
+
+if __name__ == "__main__":
+    chz.nested_entrypoint(main)

examples/tinker/config.yaml

@@ -0,0 +1,11 @@
+model_list:
+  - model_name: "test-model"
+    litellm_params:
+      model: "openai/text-embedding-ada-002"
+  - model_name: "my-custom-model"
+    litellm_params:
+      model: "my-custom-llm/my-model"
+
+litellm_settings:
+  custom_provider_map:
+  - {"provider": "my-custom-llm", "custom_handler": custom_llm.my_custom_llm}

examples/tinker/custom_llm.py

@@ -0,0 +1,41 @@
+import litellm
+from litellm import CustomLLM, completion, get_llm_provider
+from litellm.utils import custom_llm_setup
+
+
+class MyCustomLLM(CustomLLM):
+    def completion(self, *args, **kwargs) -> litellm.ModelResponse:
+        return litellm.completion(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "user", "content": "Hello world"}],
+            mock_response="Hi!",
+        )  # type: ignore
+
+    async def acompletion(self, *args, **kwargs) -> litellm.ModelResponse:
+        return litellm.completion(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "user", "content": "Hello world"}],
+            mock_response="Hi!",
+        )  # type: ignore
+
+
+my_custom_llm = MyCustomLLM()
+
+litellm.custom_provider_map = [{"provider": "my-custom-llm", "custom_handler": my_custom_llm}]
+
+custom_llm_setup()
+
+from agentlightning import InMemoryLightningStore
+from agentlightning.llm_proxy import LLMProxy
+
+store = InMemoryLightningStore()
+llm_proxy = LLMProxy(
+    port=4000,
+    store=store,
+    model_list=[{"model_name": "my-custom-model", "litellm_params": {"model": "my-custom-llm/my-model"}}],
+)
+
+llm_proxy.start()
+import time
+
+time.sleep(1000)

examples/tinker/hello.py

@@ -0,0 +1,112 @@
+"""To train a model to admit whoever I call it.
+
+For example, if I say "Hello, 42", the model should say "I'm 42", not "I'm not 42."
+"""
+
+import argparse
+import asyncio
+import multiprocessing
+
+from agl_tinker.env import AGLDatasetBuilder
+from agl_tinker.train import Config
+from agl_tinker.train import main as entrypoint
+from openai import OpenAI
+from rich.console import Console
+
+import agentlightning as agl
+
+console = Console()
+
+
+@agl.rollout
+def hello(task: str, llm: agl.LLM, rollout: agl.Rollout) -> None:
+    openai_client = OpenAI(base_url=llm.endpoint, api_key="dummy")
+    response = openai_client.chat.completions.create(
+        model=llm.model,
+        messages=[{"role": "user", "content": f"Let's play a game. Say you are {task}."}],
+    )
+
+    response_content = response.choices[0].message.content
+    content_lower = response_content.lower() if response_content else ""
+    if ("i am " + task) in content_lower or ("i'm " + task) in content_lower:
+        rew = 1.0
+    elif ("not " + task) in content_lower:
+        rew = -1.0
+    elif ("you're" + task) in content_lower or ("you are" + task) in content_lower:
+        rew = 0.1
+    else:
+        rew = 0.0
+
+    console.print(
+        f"[bold green]Runners ({rollout.rollout_id}, {rollout.mode}):[/bold green] "
+        f"{task} -> {response_content} -> Reward: {rew}"
+    )
+    agl.emit_reward(rew)
+
+
+def run_algo():
+    config = Config(
+        learning_rate=1e-5,
+        dataset_builder=AGLDatasetBuilder(
+            train_dataset=[str(i) for i in range(1000)],
+            val_dataset=[str(i) for i in range(1000, 1024)],
+            batch_size=32,
+            shuffle=True,
+            group_size=4,
+            seed=42,
+        ),
+        renderer_name="qwen3",
+        model_name="Qwen/Qwen3-30B-A3B-Instruct-2507",
+        log_path="logs/hello",
+        max_tokens=32,
+        store_address="http://localhost:4747",
+    )
+    asyncio.run(entrypoint(config))
+
+
+def run_rollout(*, worker_id: int) -> None:
+    """Rollout runner, single-process."""
+    tracer = agl.AgentOpsTracer()
+
+    runner = agl.LitAgentRunner[str](tracer=tracer)
+
+    console.print(f"[bold green]Runners:[/bold green] Rollout runner {worker_id} started.")
+
+    store = agl.LightningStoreClient("http://localhost:4747")
+    with runner.run_context(agent=hello, store=store, worker_id=worker_id):
+        asyncio.run(runner.iter())
+
+
+def spawn_runners(*, n_runners: int) -> None:
+    """Spawn a set of rollout runners.
+
+    Args:
+        store: The LightningStore instance.
+        n_runners: The number of runners to spawn.
+    """
+
+    runners = [
+        multiprocessing.Process(target=run_rollout, kwargs={"worker_id": worker_id}) for worker_id in range(n_runners)
+    ]
+    for runner in runners:
+        runner.start()
+
+    for runner in runners:
+        runner.join()
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Train a hello echo agent with Agent-lightning + Tinker.")
+    parser.add_argument("mode", type=str, choices=["algo", "runner"])
+
+    args = parser.parse_args()
+
+    agl.configure_logger()
+    if args.mode == "algo":
+        run_algo()
+    elif args.mode == "runner":
+        spawn_runners(n_runners=8)
+
+
+if __name__ == "__main__":
+    main()

examples/tinker/test-results/twenty_questions_gpt4.1_gpt5mini_20251026.jsonl

@@ -0,0 +1,200 @@
+{"index": 179, "id": "640d510f-8ff7-4d6d-bbb7-29f2c07a1047", "answer": "Ghost", "category": "creature", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "no"}, {"question": "Is it found in nature?", "response": "no"}, {"question": "Is it a concept?", "response": "no"}, {"question": "Is it an object?", "response": "no"}, {"question": "Is it a fictional entity?", "response": "yes"}, {"question": "Is it a character from a book, movie, or television?", "response": "yes"}, {"question": "Is the character animated?", "response": "yes"}, {"question": "Is the character from a movie?", "response": "no"}, {"question": "Is the character from a television show?", "response": "yes"}, {"question": "Is the character primarily aimed at children?", "response": "n/a"}, {"question": "Is the character non-human?", "response": "yes"}, {"question": "Is the character an animal?", "response": "no"}, {"question": "Is the character a robot or machine?", "response": "no"}, {"question": "Is the character from a Japanese anime television show?", "response": "no"}, {"question": "Is the character from a science fiction television show?", "response": "n/a"}, {"question": "Is the character from a live-action/animated hybrid television show?", "response": "n/a"}, {"question": "Is the character from an American television show?", "response": "yes"}, {"question": "Is the character from a comedy television show?", "response": "n/a"}, {"question": "Is it SpongeBob SquarePants?", "response": "no"}]}
+{"index": 24, "id": "1d4171ff-760b-4c55-8784-e342b34746cf", "answer": "Sydney Opera House", "category": "place", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something commonly found indoors?", "response": "no"}, {"question": "Is it something naturally occurring?", "response": "no"}, {"question": "Is it something primarily used for entertainment?", "response": "yes"}, {"question": "Is it an object commonly associated with sports?", "response": "no"}, {"question": "Is it an object commonly associated with music?", "response": "yes"}, {"question": "Is it played by blowing air into it?", "response": "n/a"}, {"question": "Is it a string instrument?", "response": "no"}, {"question": "Is it a percussion instrument?", "response": "no"}, {"question": "Is it an electronic instrument?", "response": "no"}, {"question": "Is it a brass instrument?", "response": "no"}, {"question": "Is it a woodwind instrument?", "response": "no"}, {"question": "Is it powered by electricity or batteries?", "response": "yes"}, {"question": "Is it a keyboard instrument?", "response": "no"}, {"question": "Is it a synthesizer?", "response": "no"}, {"question": "Is it a microphone?", "response": "no"}, {"question": "Is it a speaker?", "response": "no"}, {"question": "Is it a drum machine?", "response": "no"}, {"question": "Is it a guitar amplifier?", "response": "no"}, {"question": "Is it an electric violin?", "response": "no"}]}
+{"index": 135, "id": "cbb67117-d37b-44d0-88c9-8380f29108fe", "answer": "Archery", "category": "sport", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "no"}, {"question": "Is it primarily used outdoors?", "response": "yes"}, {"question": "Is it primarily used for transportation?", "response": "no"}, {"question": "Is it primarily used in sports or recreational activities?", "response": "yes"}, {"question": "Is it primarily used with water activities?", "response": "no"}, {"question": "Is it primarily used in a team sport?", "response": "no"}, {"question": "Is it primarily used in individual sports rather than group activities?", "response": "yes"}, {"question": "Is it primarily used in a sport that requires special equipment or gear for safety?", "response": "yes"}, {"question": "Is it primarily used in sports involving aiming or striking a target?", "response": "yes"}, {"question": "Is it primarily used in archery?", "response": "n/a"}, {"question": "Is it primarily used in shooting sports such as firearms or airguns?", "response": "no"}, {"question": "Is it primarily used in golf?", "response": "no"}, {"question": "Is it primarily used in track and field events?", "response": "no"}, {"question": "Is it primarily used in racquet or paddle sports?", "response": "no"}, {"question": "Is it primarily used in winter sports?", "response": "no"}, {"question": "Is it primarily used in martial arts or combat sports?", "response": "no"}, {"question": "Is it primarily used in throwing sports such as javelin or discus?", "response": "no"}, {"question": "Is it a dart?", "response": "no"}]}
+{"index": 28, "id": "90f5d315-7fae-4b87-9a5e-457521de756b", "answer": "Eiffel Tower", "category": "place", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it a physical object you can touch?", "response": "yes"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "no"}, {"question": "Is it primarily used outdoors?", "response": "yes"}, {"question": "Is it a type of vehicle?", "response": "no"}, {"question": "Is it used for sports or recreation?", "response": "yes"}, {"question": "Is it used in a water-related activity?", "response": "no"}, {"question": "Is it used in a competitive team sport?", "response": "no"}, {"question": "Is it used in an individual sport where scoring points is common?", "response": "n/a"}, {"question": "Is it used in golf?", "response": "no"}, {"question": "Is it used in winter sports?", "response": "no"}, {"question": "Is it a type of ball?", "response": "no"}, {"question": "Is it used in camping or hiking activities?", "response": "no"}, {"question": "Is it used in racquet sports?", "response": "no"}, {"question": "Is it used in climbing or mountaineering activities?", "response": "yes"}, {"question": "Is it used for protection or safety while climbing?", "response": "no"}, {"question": "Is it used to help ascend rock faces?", "response": "no"}, {"question": "Is it used as an anchor or to secure ropes while climbing?", "response": "no"}, {"question": "Is it chalk?", "response": "no"}]}
+{"index": 14, "id": "6f9dca9c-ec19-4194-82e9-aaeebd2fbf2f", "answer": "Mother Teresa", "category": "person", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it commonly used by humans?", "response": "n/a"}, {"question": "Is it a physical object?", "response": "no"}, {"question": "Is it a concept?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it related to fiction?", "response": "no"}, {"question": "Is it an instrument?", "response": "no"}, {"question": "Is it a type of food?", "response": "no"}, {"question": "Is it a type of sport?", "response": "no"}, {"question": "Is it something found in nature?", "response": "yes"}, {"question": "Is it a non-living thing produced by a natural process (e.g., rock, mineral, water)?", "response": "no"}, {"question": "Is it classified as a creature (e.g., animal, insect, mythical being)?", "response": "n/a"}, {"question": "Is it weather-related or a phenomenon involving the atmosphere?", "response": "no"}, {"question": "Is it a geological feature (e.g., mountain, valley, cave)?", "response": "no"}, {"question": "Is it a body of water?", "response": "no"}, {"question": "Is it part of a plant?", "response": "n/a"}, {"question": "Is it a celestial object?", "response": "no"}, {"question": "Is it a fossil?", "response": "no"}, {"question": "Is it a natural phenomenon other than weather?", "response": "no"}, {"question": "Is it gravity?", "response": "no"}]}
+{"index": 33, "id": "b7fa74bc-34ca-455e-8777-4e21cd5ebdd2", "answer": "London", "category": "place", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it smaller than a breadbox?", "response": "no"}, {"question": "Is it commonly found in a household?", "response": "no"}, {"question": "Is it primarily used for transportation?", "response": "no"}, {"question": "Is it primarily used outdoors?", "response": "n/a"}, {"question": "Is it primarily used for entertainment?", "response": "no"}, {"question": "Is it primarily used in a workplace or industrial setting?", "response": "no"}, {"question": "Is it an object primarily used for communication?", "response": "no"}, {"question": "Is it a type of building or structure?", "response": "no"}, {"question": "Is it an object associated with technology or machinery?", "response": "no"}, {"question": "Is it a type of food?", "response": "no"}, {"question": "Is it a natural feature or part of nature?", "response": "no"}, {"question": "Is it a concept?", "response": "no"}, {"question": "Is it a sport?", "response": "no"}, {"question": "Is it an instrument?", "response": "no"}, {"question": "Is it a fictional character?", "response": "no"}, {"question": "Is it an object associated with games or sports?", "response": "no"}, {"question": "Is it a flag?", "response": "no"}, {"question": "Is it a vehicle?", "response": "no"}]}
+{"index": 171, "id": "e0510bb0-23aa-499c-b057-da5cf1ef918d", "answer": "Tornado", "category": "nature", "correct": true, "num_tool_calls": 0, "next_question": "", "turn_index": 18, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something man-made?", "response": "no"}, {"question": "Is it something found in nature?", "response": "yes"}, {"question": "Is it non-living (not a plant or fungus)?", "response": "yes"}, {"question": "Is it a type of mineral or rock?", "response": "no"}, {"question": "Is it a body of water?", "response": "no"}, {"question": "Is it found in the sky or atmosphere?", "response": "yes"}, {"question": "Is it related to weather or precipitation?", "response": "yes"}, {"question": "Is it visible as a physical phenomenon, such as rainbows, lightning, or clouds?", "response": "yes"}, {"question": "Is it visible as a solid object, such as hail or snow?", "response": "no"}, {"question": "Is it lightning?", "response": "no"}, {"question": "Is it a cloud?", "response": "no"}, {"question": "Is it a rainbow?", "response": "no"}, {"question": "Is it thunder?", "response": "no"}, {"question": "Is it a type of fog or mist?", "response": "no"}, {"question": "Is it associated with light phenomena such as auroras?", "response": "no"}, {"question": "Is it wind?", "response": "yes"}, {"question": "Is it specifically a tornado?", "response": "yes"}]}
+{"index": 165, "id": "89ace4d7-ca82-4826-ae70-281504fcf648", "answer": "Moon", "category": "nature", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "no"}, {"question": "Is it found in nature?", "response": "yes"}, {"question": "Is it a physical object?", "response": "yes"}, {"question": "Is it something solid?", "response": "yes"}, {"question": "Is it larger than a basketball?", "response": "yes"}, {"question": "Is it naturally occurring outdoors worldwide?", "response": "yes"}, {"question": "Is it a type of landform?", "response": "no"}, {"question": "Is it primarily composed of minerals?", "response": "yes"}, {"question": "Is it primarily composed of a single element (such as gold, silver, quartz)?", "response": "no"}, {"question": "Is it commonly found in or associated with water (such as lakes, rivers, oceans, or rain)?", "response": "yes"}, {"question": "Is it a type of rock or mineral?", "response": "no"}, {"question": "Is it an island?", "response": "no"}, {"question": "Is it a mountain?", "response": "no"}, {"question": "Is it an iceberg?", "response": "no"}, {"question": "Is it a glacier?", "response": "no"}, {"question": "Is it a cave?", "response": "no"}, {"question": "Is it a waterfall?", "response": "no"}, {"question": "Is it a coral?", "response": "no"}, {"question": "Is it a cave?", "response": "no"}]}
+{"index": 27, "id": "4aff485b-7cf6-45ba-b740-ea3204e27218", "answer": "Amazon Rainforest", "category": "place", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something man-made?", "response": "no"}, {"question": "Is it something found in nature?", "response": "yes"}, {"question": "Is it non-living?", "response": "no"}, {"question": "Is it a plant?", "response": "no"}, {"question": "Is it a mineral?", "response": "no"}, {"question": "Is it something classified as a celestial body?", "response": "no"}, {"question": "Is it a body of water?", "response": "no"}, {"question": "Is it something found in the atmosphere?", "response": "no"}, {"question": "Is it a type of landform?", "response": "no"}, {"question": "Is it a type of rock?", "response": "no"}, {"question": "Is it a concept?", "response": "no"}, {"question": "Is it a type of weather phenomenon?", "response": "no"}, {"question": "Is it an element?", "response": "no"}, {"question": "Is it a fossil?", "response": "no"}, {"question": "Is it a chemical compound?", "response": "no"}, {"question": "Is it something that originates from a volcano?", "response": "no"}, {"question": "Is it something formed through geological processes?", "response": "no"}, {"question": "Is it part of the atmosphere, such as a gas or air component?", "response": "no"}, {"question": "Is it mountain?", "response": "no"}]}
+{"index": 77, "id": "1b0531c2-5db6-48d5-84a2-0d9475e6398e", "answer": "Violin", "category": "instrument", "correct": true, "num_tool_calls": 0, "next_question": "", "turn_index": 17, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "no"}, {"question": "Is it primarily used outdoors?", "response": "no"}, {"question": "Is it primarily used for entertainment or recreation?", "response": "yes"}, {"question": "Is it an electronic device?", "response": "no"}, {"question": "Is it a type of game?", "response": "no"}, {"question": "Is it a type of sports equipment?", "response": "no"}, {"question": "Is it something you can wear?", "response": "no"}, {"question": "Is it commonly found in a school or educational setting?", "response": "yes"}, {"question": "Is it something used for writing or drawing?", "response": "no"}, {"question": "Is it made of paper?", "response": "no"}, {"question": "Is it primarily used for measurement or calculation?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "yes"}, {"question": "Is it a string instrument?", "response": "yes"}, {"question": "Is it played with a bow?", "response": "yes"}, {"question": "Is it a violin?", "response": "yes"}]}
+{"index": 96, "id": "45d6473e-440d-46f6-aaed-d5c473010cc9", "answer": "Cheese", "category": "food", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "yes"}, {"question": "Is it primarily used in the kitchen?", "response": "yes"}, {"question": "Is it primarily used for food preparation?", "response": "no"}, {"question": "Is it primarily used for serving or eating food?", "response": "yes"}, {"question": "Is it typically made of glass?", "response": "no"}, {"question": "Is it primarily used for drinking?", "response": "no"}, {"question": "Is it typically made of metal?", "response": "no"}, {"question": "Is it typically made of ceramic?", "response": "no"}, {"question": "Is it typically made of plastic?", "response": "no"}, {"question": "Is it primarily used to hold food?", "response": "no"}, {"question": "Is it typically made of wood?", "response": "no"}, {"question": "Is it used to cut food?", "response": "no"}, {"question": "Is it typically used as an eating utensil?", "response": "no"}, {"question": "Is it used to store leftover food?", "response": "no"}, {"question": "Is it used to serve or present food at the table?", "response": "no"}, {"question": "Is it an appliance?", "response": "no"}, {"question": "Is it a napkin?", "response": "no"}, {"question": "Is it a plate?", "response": "no"}]}
+{"index": 98, "id": "e07fe979-f42d-4546-a9ea-63c84f7cad2e", "answer": "Orange juice", "category": "food", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something man-made?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "yes"}, {"question": "Is it primarily used in the kitchen?", "response": "yes"}, {"question": "Is it primarily used for food preparation rather than serving or storage?", "response": "no"}, {"question": "Is it primarily used to store food or beverages?", "response": "no"}, {"question": "Is it primarily used for consuming (eating or drinking) food or beverages?", "response": "yes"}, {"question": "Is it typically made of glass?", "response": "no"}, {"question": "Is it primarily used for drinking beverages?", "response": "yes"}, {"question": "Is it typically made of ceramic?", "response": "no"}, {"question": "Is it typically made of metal?", "response": "no"}, {"question": "Is it typically made of plastic?", "response": "no"}, {"question": "Is it primarily used for drinking hot beverages?", "response": "no"}, {"question": "Is it primarily used for drinking cold beverages?", "response": "yes"}, {"question": "Is it typically made of paper?", "response": "no"}, {"question": "Is it typically made of wood?", "response": "no"}, {"question": "Is it a cup?", "response": "no"}, {"question": "Is it a straw?", "response": "no"}, {"question": "Is it a bottle?", "response": "no"}, {"question": "Is it a glass?", "response": "no"}]}
+{"index": 97, "id": "f0258eaa-f9c9-4776-a3c2-21dc7f3563a0", "answer": "Bread", "category": "food", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something man-made?", "response": "yes"}, {"question": "Is it commonly found in a home?", "response": "yes"}, {"question": "Is it primarily used in the kitchen?", "response": "yes"}, {"question": "Is it primarily used for preparing food?", "response": "no"}, {"question": "Is it primarily used for eating or drinking?", "response": "yes"}, {"question": "Is it typically made of glass?", "response": "no"}, {"question": "Is it typically made of metal?", "response": "no"}, {"question": "Is it typically made of ceramic?", "response": "no"}, {"question": "Is it primarily made of plastic?", "response": "no"}, {"question": "Is it typically made of wood?", "response": "no"}, {"question": "Is it typically disposable after a single use?", "response": "yes"}, {"question": "Is it primarily used for drinking?", "response": "no"}, {"question": "Is it primarily made of paper?", "response": "no"}, {"question": "Is it primarily used to hold food?", "response": "no"}, {"question": "Is it primarily used for cleaning?", "response": "no"}, {"question": "Is it primarily used for serving food?", "response": "no"}, {"question": "Is it a toothpick?", "response": "no"}, {"question": "Is it a napkin?", "response": "no"}, {"question": "Is it a straw?", "response": "no"}]}
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+{"index": 32, "id": "d12d73ce-526c-46d4-950b-370a2a85accd", "answer": "Rome", "category": "place", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it commonly found indoors?", "response": "no"}, {"question": "Is it primarily used for transportation?", "response": "no"}, {"question": "Is it larger than a car?", "response": "yes"}, {"question": "Is it a type of building or structure?", "response": "no"}, {"question": "Is it powered by electricity or fuel during typical use?", "response": "n/a"}, {"question": "Is it a type of vehicle?", "response": "no"}, {"question": "Is it used for recreation or leisure activities?", "response": "yes"}, {"question": "Is it typically found in a park, playground, or outdoor recreational area?", "response": "no"}, {"question": "Is it a type of sports facility or field?", "response": "no"}, {"question": "Is it associated with water-based recreational activities?", "response": "no"}, {"question": "Is it a type of amusement ride?", "response": "no"}, {"question": "Is it something primarily used in sports stadiums or arenas?", "response": "no"}, {"question": "Is it something you would commonly see at a fair or festival?", "response": "no"}, {"question": "Is it a monument or statue?", "response": "no"}, {"question": "Is it a bridge?", "response": "no"}, {"question": "Is it a dam?", "response": "no"}, {"question": "Is it a stadium?", "response": "no"}, {"question": "Is it a roller coaster?", "response": "no"}]}
+{"index": 151, "id": "f3409eca-8b20-4dc1-9da8-5c5da07b2a4e", "answer": "The Matrix", "category": "fiction", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something man-made?", "response": "yes"}, {"question": "Is it something commonly found in households?", "response": "yes"}, {"question": "Is it primarily used in the kitchen?", "response": "no"}, {"question": "Is it primarily used for entertainment or leisure?", "response": "yes"}, {"question": "Is it primarily an electronic device?", "response": "no"}, {"question": "Is it primarily used for playing games?", "response": "no"}, {"question": "Is it primarily used outdoors?", "response": "no"}, {"question": "Is it typically used for reading or holding printed material?", "response": "no"}, {"question": "Is it primarily used for listening to music or audio?", "response": "no"}, {"question": "Is it primarily used for comfort or relaxation (e.g., furniture, bedding)?", "response": "no"}, {"question": "Is it primarily used for cleaning or maintaining the home?", "response": "no"}, {"question": "Is it primarily used for organizing or storing items?", "response": "no"}, {"question": "Is it an object primarily associated with visual entertainment, such as a television or board game?", "response": "yes"}, {"question": "Is it a board game?", "response": "no"}, {"question": "Is it a card game?", "response": "no"}, {"question": "Is it a puzzle?", "response": "no"}, {"question": "Is it a television?", "response": "no"}, {"question": "Is it a movie?", "response": "yes"}, {"question": "Is it Titanic?", "response": "no"}]}
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+{"index": 91, "id": "2d0caf68-3f9a-49fd-b43e-3f062749cabe", "answer": "Salad", "category": "food", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "yes"}, {"question": "Is it primarily used in the kitchen?", "response": "yes"}, {"question": "Is it primarily used for preparing or cooking food?", "response": "no"}, {"question": "Is it primarily used for serving or eating food?", "response": "yes"}, {"question": "Is it typically made of glass?", "response": "no"}, {"question": "Is it typically made of metal?", "response": "no"}, {"question": "Is it typically made of ceramic?", "response": "no"}, {"question": "Is it typically made of plastic?", "response": "no"}, {"question": "Is it primarily made of wood?", "response": "no"}, {"question": "Is it primarily made of paper?", "response": "no"}, {"question": "Is it primarily made of stone?", "response": "no"}, {"question": "Is it used for drinking?", "response": "no"}, {"question": "Is it primarily used for holding food?", "response": "no"}, {"question": "Is it used to cut food?", "response": "no"}, {"question": "Is it commonly found on a dining table during meals?", "response": "yes"}, {"question": "Is it a napkin?", "response": "no"}, {"question": "Is it a placemat?", "response": "no"}, {"question": "Is it a salt shaker?", "response": "no"}]}
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+{"index": 175, "id": "89a5c529-a4f2-4492-b93a-59f412d6b755", "answer": "Map", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something man-made?", "response": "yes"}, {"question": "Is it commonly found in a home?", "response": "no"}, {"question": "Is it primarily used outdoors?", "response": "no"}, {"question": "Is it primarily used for transportation?", "response": "no"}, {"question": "Is it primarily used for entertainment?", "response": "no"}, {"question": "Is it primarily used in a workplace or office environment?", "response": "no"}, {"question": "Is it primarily used for communication?", "response": "no"}, {"question": "Is it primarily used for food or drink preparation or storage?", "response": "no"}, {"question": "Is it primarily used for measurement or calculation?", "response": "no"}, {"question": "Is it primarily used for security or protection?", "response": "no"}, {"question": "Is it primarily used in education or learning environments?", "response": "no"}, {"question": "Is it primarily used for decorative or artistic purposes?", "response": "no"}, {"question": "Is it primarily used in science or medical settings?", "response": "no"}, {"question": "Is it primarily used for religious or spiritual purposes?", "response": "no"}, {"question": "Is it primarily used in sports or physical activities?", "response": "no"}, {"question": "Is it an object?", "response": "yes"}, {"question": "Is it electronic?", "response": "yes"}, {"question": "Is it a computer?", "response": "no"}, {"question": "Is it a smartphone?", "response": "no"}]}
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+{"index": 50, "id": "54168fb4-9488-45c4-aa2a-1c37a078020d", "answer": "Owl", "category": "animal", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "yes"}, {"question": "Is it human?", "response": "no"}, {"question": "Is it an animal?", "response": "yes"}, {"question": "Is it commonly kept as a pet?", "response": "no"}, {"question": "Is it larger than a human?", "response": "no"}, {"question": "Does it primarily live in water?", "response": "no"}, {"question": "Does it have fur?", "response": "no"}, {"question": "Can it fly?", "response": "yes"}, {"question": "Is it active during the day?", "response": "yes"}, {"question": "Is it a bird?", "response": "yes"}, {"question": "Does it primarily eat insects?", "response": "no"}, {"question": "Is it known for its bright or colorful plumage?", "response": "no"}, {"question": "Is it commonly found in urban areas?", "response": "yes"}, {"question": "Is it a type of pigeon?", "response": "no"}, {"question": "Is it associated with making distinctive sounds or calls that are easily recognized?", "response": "yes"}, {"question": "Is it a crow?", "response": "no"}, {"question": "Is it commonly associated with scavenging food from humans or trash?", "response": "no"}, {"question": "Is it a sparrow?", "response": "no"}, {"question": "Is it a dove?", "response": "no"}, {"question": "Is it a magpie?", "response": "no"}]}
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+{"index": 143, "id": "d706e352-a3de-43de-a2d2-b5c855fe5a32", "answer": "Lightsaber", "category": "fiction", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it typically found in the home?", "response": "no"}, {"question": "Is it larger than a car?", "response": "no"}, {"question": "Is it commonly used for transportation?", "response": "no"}, {"question": "Is it primarily used for entertainment or leisure activities?", "response": "no"}, {"question": "Is it primarily used for work or professional purposes?", "response": "no"}, {"question": "Is it electronic or requires electricity to function?", "response": "yes"}, {"question": "Is it commonly used outdoors?", "response": "yes"}, {"question": "Is it used for communication?", "response": "no"}, {"question": "Is it primarily used for safety or security purposes?", "response": "no"}, {"question": "Is it commonly used in sports or outdoor recreation?", "response": "no"}, {"question": "Is it a tool used for construction or maintenance?", "response": "no"}, {"question": "Is it commonly found in public places or facilities?", "response": "no"}, {"question": "Is it portable and designed to be easily carried by one person?", "response": "yes"}, {"question": "Is it commonly used for measurement or checking conditions?", "response": "no"}, {"question": "Is it a type of light or produces illumination?", "response": "yes"}, {"question": "Is it a flashlight?", "response": "no"}, {"question": "Is it a lantern?", "response": "no"}, {"question": "Is it a headlamp?", "response": "no"}]}
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+{"index": 81, "id": "4f7d75b9-ff86-4f8e-99e2-3b94f9e5397d", "answer": "Scissors", "category": "object", "correct": true, "num_tool_calls": 0, "next_question": "", "turn_index": 15, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something man-made?", "response": "yes"}, {"question": "Is it something commonly found in a household?", "response": "yes"}, {"question": "Is it primarily used in the kitchen?", "response": "no"}, {"question": "Is it primarily used for entertainment?", "response": "no"}, {"question": "Is it primarily used for communication?", "response": "no"}, {"question": "Is it primarily used for cleaning?", "response": "no"}, {"question": "Is it primarily used for storage?", "response": "no"}, {"question": "Is it commonly found in a bathroom?", "response": "yes"}, {"question": "Is it typically used for personal hygiene?", "response": "yes"}, {"question": "Is it an electronic device?", "response": "no"}, {"question": "Is it used for grooming hair?", "response": "yes"}, {"question": "Is it made primarily of plastic?", "response": "no"}, {"question": "Is it made primarily of metal?", "response": "yes"}, {"question": "Is it a pair of scissors?", "response": "yes"}]}
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+{"index": 144, "id": "ab39c189-e0a3-4197-aa4d-219fc93f3660", "answer": "Iron Man", "category": "character", "correct": true, "num_tool_calls": 0, "next_question": "", "turn_index": 13, "interactions": [{"question": "Is it a living thing?", "response": "yes"}, {"question": "Is it a human?", "response": "yes"}, {"question": "Is this person real rather than fictional?", "response": "no"}, {"question": "Is this character most commonly associated with movies or television?", "response": "yes"}, {"question": "Is this character animated rather than live-action?", "response": "no"}, {"question": "Is this character primarily from a television series (not a movie)?", "response": "no"}, {"question": "Is this character from a movie released before the year 2000?", "response": "no"}, {"question": "Is this character part of a movie franchise with multiple installments?", "response": "yes"}, {"question": "Is this character a superhero?", "response": "yes"}, {"question": "Is this superhero character from the Marvel Cinematic Universe?", "response": "yes"}, {"question": "Is this character female?", "response": "no"}, {"question": "Has this Marvel superhero been portrayed by Robert Downey Jr.?", "response": "yes"}, {"question": "Is it Iron Man?", "response": "yes"}]}
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+{"index": 141, "id": "5b4c5bdd-a829-4169-9969-34ee234f6978", "answer": "Hiking", "category": "sport", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it commonly found indoors?", "response": "no"}, {"question": "Is it primarily used for transportation?", "response": "no"}, {"question": "Is it primarily used for recreation or leisure activities?", "response": "yes"}, {"question": "Is it a type of sports equipment?", "response": "no"}, {"question": "Is it commonly used outdoors?", "response": "yes"}, {"question": "Is it something that typically requires electricity or batteries to operate?", "response": "no"}, {"question": "Is it something primarily associated with water activities?", "response": "no"}, {"question": "Is it something you can play a game with?", "response": "no"}, {"question": "Is it primarily made of metal?", "response": "n/a"}, {"question": "Is it something typically found in a playground?", "response": "no"}, {"question": "Is it associated with camping or hiking?", "response": "yes"}, {"question": "Is it something used for shelter?", "response": "no"}, {"question": "Is it something used for cooking or preparing food outdoors?", "response": "no"}, {"question": "Is it something used for navigation or finding direction outdoors?", "response": "no"}, {"question": "Is it something used for lighting outdoors?", "response": "no"}, {"question": "Is it something used for sitting or resting outdoors?", "response": "no"}, {"question": "Is it a backpack?", "response": "no"}, {"question": "Is it a tent?", "response": "no"}]}
+{"index": 127, "id": "95ec53b5-0dcb-44bd-b2ca-49adc30bcdeb", "answer": "Running", "category": "sport", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "no"}, {"question": "Is it naturally found outdoors?", "response": "yes"}, {"question": "Is it a mineral or rock?", "response": "no"}, {"question": "Is it a plant or part of a plant?", "response": "no"}, {"question": "Is it a body of water?", "response": "no"}, {"question": "Is it related to weather or atmospheric phenomena?", "response": "no"}, {"question": "Is it something seen in the sky?", "response": "no"}, {"question": "Is it a geological feature found on land, such as a mountain or canyon?", "response": "no"}, {"question": "Is it something that is typically found underground?", "response": "n/a"}, {"question": "Is it a non-living thing commonly associated with the beach?", "response": "no"}, {"question": "Is it a type of soil or sediment?", "response": "no"}, {"question": "Is it formed by a naturally occurring chemical process, such as crystallization or precipitation?", "response": "no"}, {"question": "Is it related to fire or heat?", "response": "no"}, {"question": "Is it a type of natural substance not classified as rock, mineral, plant, or water, such as ice, gas, or metal?", "response": "no"}, {"question": "Is it related to celestial bodies or phenomena beyond Earth's atmosphere?", "response": "no"}, {"question": "Is it a naturally occurring phenomenon rather than a tangible object?", "response": "yes"}, {"question": "Is it related to sound or vibration?", "response": "yes"}, {"question": "Is it an echo?", "response": "no"}, {"question": "Is it thunder?", "response": "no"}]}
+{"index": 46, "id": "5f32522a-eed8-4d37-86a2-44d69f1e533b", "answer": "Panda", "category": "animal", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "yes"}, {"question": "Is it a human?", "response": "no"}, {"question": "Is it an animal?", "response": "yes"}, {"question": "Is it a mammal?", "response": "yes"}, {"question": "Is it commonly kept as a pet?", "response": "no"}, {"question": "Is it larger than a human?", "response": "yes"}, {"question": "Is it primarily found in the wild rather than on farms or in captivity?", "response": "yes"}, {"question": "Is it a carnivore?", "response": "no"}, {"question": "Is it herbivorous?", "response": "yes"}, {"question": "Is it native to Africa?", "response": "no"}, {"question": "Is it found in North America?", "response": "yes"}, {"question": "Is it a type of hoofed animal?", "response": "no"}, {"question": "Does it have antlers or horns?", "response": "no"}, {"question": "Does it live in water or spend significant time in aquatic environments?", "response": "no"}, {"question": "Is it a primate?", "response": "no"}, {"question": "Is it a bear?", "response": "yes"}, {"question": "Is it a grizzly bear?", "response": "no"}, {"question": "Is it an American black bear?", "response": "no"}, {"question": "Is it a polar bear?", "response": "no"}, {"question": "Is it a brown bear?", "response": "no"}]}
+{"index": 198, "id": "c52bcce5-6a98-4fc4-a198-a89f4b3e7721", "answer": "Remote", "category": "object", "correct": true, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "yes"}, {"question": "Is it primarily used in the kitchen?", "response": "no"}, {"question": "Is it primarily used for entertainment or leisure?", "response": "yes"}, {"question": "Is it electronic?", "response": "yes"}, {"question": "Is it small enough to be held in one hand?", "response": "yes"}, {"question": "Is it primarily used for communication?", "response": "no"}, {"question": "Is it primarily used for playing games?", "response": "no"}, {"question": "Is it primarily used for listening to audio or music?", "response": "no"}, {"question": "Is it primarily used for viewing visual media or screens?", "response": "no"}, {"question": "Is it primarily used for lighting or illumination?", "response": "no"}, {"question": "Is it primarily used for measuring or calculating things?", "response": "no"}, {"question": "Is it primarily used for temperature control or regulation?", "response": "no"}, {"question": "Is it primarily used for cleaning or maintaining cleanliness?", "response": "no"}, {"question": "Is it primarily used for personal grooming or care?", "response": "no"}, {"question": "Is it primarily used for timekeeping or telling time?", "response": "no"}, {"question": "Is it primarily used for safety or security purposes?", "response": "no"}, {"question": "Is it primarily used for health or medical purposes?", "response": "no"}, {"question": "Is it a remote control?", "response": "yes"}]}
+{"index": 181, "id": "e529d65a-03e0-4624-a72e-0d77c6c433e2", "answer": "Meteor", "category": "nature", "correct": true, "num_tool_calls": 0, "next_question": "", "turn_index": 17, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something man-made?", "response": "no"}, {"question": "Is it found in nature?", "response": "yes"}, {"question": "Is it a non-living part of the earth, like a mineral, rock, or landform?", "response": "no"}, {"question": "Is it a substance that is essential for life processes, like water or air?", "response": "no"}, {"question": "Is it something produced by a plant or tree, like fruit, seeds, or leaves?", "response": "no"}, {"question": "Is it naturally occurring but not a mineral, plant, or animal (such as a weather phenomenon or a type of energy)?", "response": "yes"}, {"question": "Is it related to weather or atmospheric phenomena?", "response": "yes"}, {"question": "Is it visible to the naked eye?", "response": "yes"}, {"question": "Is it a type of precipitation?", "response": "no"}, {"question": "Is it associated with light or optical phenomena such as rainbows, auroras, or halos?", "response": "yes"}, {"question": "Is it most commonly seen during or after rain?", "response": "no"}, {"question": "Is it most commonly seen at night?", "response": "yes"}, {"question": "Does it appear as moving patterns of colored light in the sky?", "response": "no"}, {"question": "Is it a ring or circle-shaped phenomenon in the sky?", "response": "no"}, {"question": "Is it caused by the reflection or refraction of moonlight?", "response": "no"}, {"question": "Is it a shooting star?", "response": "yes"}]}
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+{"index": 182, "id": "1469c4ce-2b04-49db-856a-8788ecb33359", "answer": "Wallet", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "yes"}, {"question": "Is it typically used in the kitchen?", "response": "no"}, {"question": "Is it typically found in a bedroom?", "response": "no"}, {"question": "Is it commonly found in an office or workspace?", "response": "yes"}, {"question": "Is it primarily used for writing or drawing?", "response": "no"}, {"question": "Is it primarily used with a computer?", "response": "yes"}, {"question": "Is it used for inputting text?", "response": "no"}, {"question": "Is it primarily a display device?", "response": "no"}, {"question": "Is it used for audio output?", "response": "no"}, {"question": "Is it primarily used for navigation or controlling a pointer on a computer?", "response": "no"}, {"question": "Is it primarily used for printing or producing physical copies of documents?", "response": "no"}, {"question": "Is it primarily used for data storage?", "response": "no"}, {"question": "Is it primarily used for communication or connectivity?", "response": "no"}, {"question": "Is it primarily used for temperature control or air movement?", "response": "no"}, {"question": "Is it primarily used for physical security or protection of assets?", "response": "no"}, {"question": "Is it primarily used for visual recording or capturing images?", "response": "no"}, {"question": "Is it primarily used for organizing or storing documents?", "response": "no"}, {"question": "Is it a surge protector?", "response": "no"}]}
+{"index": 62, "id": "a13d36f2-3dbf-4d50-becf-43d4292d8e51", "answer": "Laptop", "category": "object", "correct": true, "num_tool_calls": 0, "next_question": "", "turn_index": 14, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it smaller than a car?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "yes"}, {"question": "Is it primarily used for entertainment?", "response": "no"}, {"question": "Is it primarily used in the kitchen?", "response": "no"}, {"question": "Is it primarily used for cleaning or maintaining a household?", "response": "no"}, {"question": "Is it primarily used in an office or for work-related tasks?", "response": "yes"}, {"question": "Is it electronic?", "response": "yes"}, {"question": "Is it primarily used for communication?", "response": "no"}, {"question": "Is it used for data entry or creating documents?", "response": "yes"}, {"question": "Is it a keyboard?", "response": "no"}, {"question": "Is it a computer?", "response": "yes"}, {"question": "Is it a laptop?", "response": "yes"}]}
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+{"index": 161, "id": "f8f42757-1d95-43b1-af50-91a5dc49837d", "answer": "The Titanic", "category": "fiction", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it something man-made?", "response": "yes"}, {"question": "Is it commonly found in a household?", "response": "no"}, {"question": "Is it primarily used outdoors?", "response": "yes"}, {"question": "Is it primarily used for transportation?", "response": "yes"}, {"question": "Is it powered by an engine or motor?", "response": "yes"}, {"question": "Is it capable of carrying more than five people at once?", "response": "yes"}, {"question": "Is it primarily used for public transportation?", "response": "yes"}, {"question": "Is it a type of bus?", "response": "no"}, {"question": "Is it a train?", "response": "no"}, {"question": "Is it an airplane?", "response": "no"}, {"question": "Is it a type of boat or ship?", "response": "yes"}, {"question": "Is it primarily used to transport vehicles?", "response": "no"}, {"question": "Is it used primarily for passenger travel?", "response": "yes"}, {"question": "Is it a ferry?", "response": "no"}, {"question": "Is it a cruise ship?", "response": "no"}, {"question": "Is it a water taxi?", "response": "no"}, {"question": "Is it a yacht?", "response": "no"}, {"question": "Is it a submarine?", "response": "no"}, {"question": "Is it a hovercraft?", "response": "no"}]}
+{"index": 17, "id": "7aac8b37-8a76-4919-b209-547dedd352a0", "answer": "Rihanna", "category": "person", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "yes"}, {"question": "Is it human?", "response": "yes"}, {"question": "Is this person real?", "response": "yes"}, {"question": "Is this person currently alive?", "response": "yes"}, {"question": "Is this person primarily known for their work in entertainment?", "response": "yes"}, {"question": "Is this person primarily known for their work in music?", "response": "yes"}, {"question": "Is this person primarily known as a singer?", "response": "yes"}, {"question": "Is this person primarily known for performing pop music?", "response": "yes"}, {"question": "Is this person primarily known for being female?", "response": "yes"}, {"question": "Has this singer won a Grammy Award?", "response": "yes"}, {"question": "Is this singer primarily known for being American?", "response": "no"}, {"question": "Is this singer primarily known for performing in English?", "response": "yes"}, {"question": "Is this singer primarily known for being British?", "response": "no"}, {"question": "Is this singer primarily known for being Canadian?", "response": "no"}, {"question": "Is this singer primarily known for being Australian?", "response": "no"}, {"question": "Is this singer primarily known for being from Europe?", "response": "no"}, {"question": "Is this singer primarily known for being from Asia?", "response": "no"}, {"question": "Is this singer primarily known for being from Africa?", "response": "no"}, {"question": "Is it Shakira?", "response": "no"}, {"question": "Is it Dua Lipa?", "response": "no"}]}

examples/tinker/test-results/twenty_questions_qwen235b_notool_gpt5mini_20251026.jsonl

@@ -0,0 +1,211 @@
+{"index": 95, "answer": "Spaghetti", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 15, "answer": "Isaac Newton", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 30, "answer": "Taj Mahal", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 158, "answer": "The Joker", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 128, "answer": "Golf", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 115, "answer": "Music", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 69, "answer": "Watch", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 170, "answer": "Cloud", "category": "nature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 174, "answer": "Treasure", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 45, "answer": "Eagle", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 66, "answer": "Umbrella", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 182, "answer": "Wallet", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 165, "answer": "Moon", "category": "nature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 78, "answer": "Harp", "category": "instrument", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 186, "answer": "Blanket", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 177, "answer": "Wizard", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 56, "answer": "Bear", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 152, "answer": "Star Wars", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 82, "answer": "Smartphone", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 68, "answer": "Lock", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 124, "answer": "Basketball", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 16, "answer": "William Shakespeare", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 148, "answer": "SpongeBob", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 93, "answer": "Watermelon", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 65, "answer": "Camera", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 60, "answer": "Chair", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 84, "answer": "Coffee", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 67, "answer": "Bicycle", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 125, "answer": "Tennis", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 132, "answer": "Chess", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 9, "answer": "Leonardo da Vinci", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 18, "answer": "Gandhi", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 55, "answer": "Rabbit", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 75, "answer": "Airplane", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 150, "answer": "Frozen", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 104, "answer": "Love", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 135, "answer": "Archery", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 137, "answer": "Skateboarding", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 164, "answer": "Volcano", "category": "nature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 76, "answer": "Piano", "category": "instrument", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 79, "answer": "Trombone", "category": "instrument", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 197, "answer": "Mouse", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 38, "answer": "Antarctica", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 24, "answer": "Sydney Opera House", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 122, "answer": "Memory", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 195, "answer": "Credit card", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 29, "answer": "Big Ben", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 19, "answer": "Picasso", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 143, "answer": "Lightsaber", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 86, "answer": "Chocolate", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 114, "answer": "Technology", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 173, "answer": "Alien", "category": "creature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 5, "answer": "Harry Potter", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 126, "answer": "Swimming", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 117, "answer": "War", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 73, "answer": "Clock", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 140, "answer": "Dancing", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 98, "answer": "Orange juice", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 172, "answer": "Robot", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 96, "answer": "Cheese", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 169, "answer": "Ocean", "category": "nature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 97, "answer": "Bread", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 31, "answer": "Niagara Falls", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 12, "answer": "Steve Jobs", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 35, "answer": "The North Pole", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 119, "answer": "Nature", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 42, "answer": "Dolphin", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 189, "answer": "Car", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 90, "answer": "Sandwich", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 136, "answer": "Fishing", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 51, "answer": "Horse", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 127, "answer": "Running", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 162, "answer": "Stranger Things", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 41, "answer": "Tiger", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 118, "answer": "Truth", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 113, "answer": "Art", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 26, "answer": "Sahara Desert", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 139, "answer": "Climbing", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 100, "answer": "Pancake", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 111, "answer": "Power", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 2, "answer": "Cleopatra", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 77, "answer": "Violin", "category": "instrument", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 46, "answer": "Panda", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 187, "answer": "Pen", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 191, "answer": "Printer", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 85, "answer": "Apple", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 161, "answer": "The Titanic", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 36, "answer": "Hawaii", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 190, "answer": "Air Conditioner", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 61, "answer": "Mirror", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 22, "answer": "Mount Everest", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 141, "answer": "Hiking", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 101, "answer": "Taco", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 33, "answer": "London", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 11, "answer": "Marilyn Monroe", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 194, "answer": "Washing machine", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 159, "answer": "Pikachu", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 6, "answer": "Elon Musk", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 27, "answer": "Amazon Rainforest", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 120, "answer": "Dream", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 4, "answer": "Batman", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 32, "answer": "Rome", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 142, "answer": "Billiards", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 145, "answer": "Millennium Falcon", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 109, "answer": "Justice", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 144, "answer": "Iron Man", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 10, "answer": "Barack Obama", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 62, "answer": "Laptop", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 112, "answer": "Honesty", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 146, "answer": "The Simpsons", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 166, "answer": "Sunflower", "category": "nature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 0, "answer": "Taylor Swift", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 198, "answer": "Remote", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 153, "answer": "Avatar", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 70, "answer": "Book", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 123, "answer": "Soccer", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 64, "answer": "Telescope", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 44, "answer": "Giraffe", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 163, "answer": "Rainbow", "category": "nature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 28, "answer": "Eiffel Tower", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 40, "answer": "Elephant", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 108, "answer": "Friendship", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 155, "answer": "Spider-Man", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 156, "answer": "Black Panther", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 25, "answer": "The Great Wall", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 23, "answer": "New York", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 184, "answer": "Microwave", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 147, "answer": "Jurassic Park", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 81, "answer": "Scissors", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 39, "answer": "Hollywood", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 168, "answer": "Lightning", "category": "nature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 47, "answer": "Kangaroo", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 94, "answer": "Popcorn", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 154, "answer": "Game of Thrones", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 43, "answer": "Penguin", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 138, "answer": "Volleyball", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 3, "answer": "Sherlock Holmes", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 105, "answer": "Happiness", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 53, "answer": "Cat", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 133, "answer": "Baseball", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 180, "answer": "Dragon", "category": "creature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 178, "answer": "Unicorn", "category": "creature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 185, "answer": "Toothbrush", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 49, "answer": "Shark", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 80, "answer": "Skateboard", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 34, "answer": "Disneyland", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 7, "answer": "Oprah Winfrey", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 110, "answer": "Peace", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 91, "answer": "Salad", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 83, "answer": "Pizza", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 176, "answer": "Pirate", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 181, "answer": "Meteor", "category": "nature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 89, "answer": "Sushi", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 8, "answer": "Beyonc\u00e9", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 13, "answer": "Michael Jordan", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 59, "answer": "Whale", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 171, "answer": "Tornado", "category": "nature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 131, "answer": "Skiing", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 17, "answer": "Rihanna", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 72, "answer": "Candle", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 175, "answer": "Map", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 134, "answer": "Yoga", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 167, "answer": "Diamond", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 183, "answer": "Headphones", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 63, "answer": "Guitar", "category": "instrument", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 54, "answer": "Snake", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 107, "answer": "Knowledge", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 50, "answer": "Owl", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 196, "answer": "Bed", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 58, "answer": "Fox", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 48, "answer": "Wolf", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 88, "answer": "Hamburger", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 21, "answer": "Tokyo", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 57, "answer": "Octopus", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 160, "answer": "Wonder Woman", "category": "character", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 192, "answer": "Lamp", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 129, "answer": "Boxing", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 37, "answer": "Las Vegas", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 157, "answer": "Hogwarts", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 193, "answer": "Refrigerator", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 1, "answer": "Albert Einstein", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 52, "answer": "Dog", "category": "animal", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 149, "answer": "The Godfather", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 130, "answer": "Surfing", "category": "sport", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 151, "answer": "The Matrix", "category": "fiction", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 103, "answer": "Freedom", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 99, "answer": "Steak", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 116, "answer": "Science", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 87, "answer": "Ice cream", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 74, "answer": "Backpack", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 121, "answer": "Fear", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 199, "answer": "Sunglasses", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 20, "answer": "Paris", "category": "place", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 188, "answer": "Drone", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 71, "answer": "Television", "category": "object", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 106, "answer": "Time", "category": "concept", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 14, "answer": "Mother Teresa", "category": "person", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 92, "answer": "Donut", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 179, "answer": "Ghost", "category": "creature", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 102, "answer": "Banana", "category": "food", "error": "Error code: 400 - {'error': {'message': \"{'error': '/chat/completions: Invalid model name passed in model=Qwen/Qwen3-235B-A22B-Instruct-2507. Call `/v1/models` to view available models for your key.'}\", 'type': 'None', 'param': 'None', 'code': '400'}}", "exception": null}
+{"index": 95, "id": "215f2b47-cb97-4d13-b511-d6f5c434605e", "answer": "Spaghetti", "category": "food", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living organism?", "response": "no"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it an electronic device?", "response": "no"}, {"question": "Is it a kitchen utensil?", "response": "no"}, {"question": "Is it a tool used for cleaning?", "response": "no"}, {"question": "Is it a tool used for writing?", "response": "no"}, {"question": "Is it a piece of furniture?", "response": "no"}, {"question": "Is it a tool used for repairing or fixing things?", "response": "no"}, {"question": "Is it a tool used for measuring?", "response": "no"}, {"question": "Is it a tool used for cutting?", "response": "no"}, {"question": "Is it a tool used for fastening or securing objects?", "response": "no"}, {"question": "Is it a tool used for opening or closing containers?", "response": "no"}, {"question": "Is it a tool used for lighting a fire?", "response": "no"}, {"question": "Is it a tool used for grooming or personal care?", "response": "no"}, {"question": "Is it a tool used for connecting or joining materials together?", "response": "no"}, {"question": "Is it a paperclip?", "response": "no"}, {"question": "Is it a stapler?", "response": "no"}, {"question": "Is it a tool used for hanging or mounting objects on walls?", "response": "no"}, {"question": "Is it a hammer?", "response": "no"}, {"question": "Is it a key?", "response": "no"}]}
+{"index": 15, "id": "84c80d82-8c7a-452e-92f9-fc764d4e04bf", "answer": "Isaac Newton", "category": "person", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it an object?", "response": "no"}, {"question": "Is it a living thing?", "response": "no"}, {"question": "Is it a concept?", "response": "no"}, {"question": "Is it a physical place?", "response": "no"}, {"question": "Is it a fictional character?", "response": "no"}, {"question": "Is it a sports team?", "response": "no"}, {"question": "Is it a sports league?", "response": "no"}, {"question": "Is it a historical event?", "response": "no"}, {"question": "Is it a natural phenomenon?", "response": "no"}, {"question": "Is it a form of entertainment?", "response": "no"}, {"question": "Is it a form of communication?", "response": "no"}, {"question": "Is it a scientific theory?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a form of transportation?", "response": "no"}, {"question": "Is it a holiday?", "response": "no"}, {"question": "Is it a natural disaster?", "response": "no"}, {"question": "Is it a mountain?", "response": "no"}, {"question": "Is it a celestial body?", "response": "no"}, {"question": "Is it a color?", "response": "no"}, {"question": "Is it a letter of the alphabet?", "response": "no"}]}
+{"index": 30, "id": "85f5e4dc-6e02-4db7-90d2-24428a001399", "answer": "Taj Mahal", "category": "place", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living organism?", "response": "no"}, {"question": "Is it a human-made object?", "response": "yes"}, {"question": "Is it a tool used in everyday household tasks?", "response": "no"}, {"question": "Is it an electronic device?", "response": "no"}, {"question": "Is it a piece of furniture?", "response": "no"}, {"question": "Is it a mode of transportation?", "response": "no"}, {"question": "Is it a clothing item?", "response": "no"}, {"question": "Is it a kitchen appliance?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a sports equipment?", "response": "no"}, {"question": "Is it a book?", "response": "no"}, {"question": "Is it a common writing utensil?", "response": "no"}, {"question": "Is it a common household object not typically found in the kitchen or bathroom?", "response": "no"}, {"question": "Is it a common household object found in the bedroom or living room?", "response": "no"}, {"question": "Is it a common household object found in the bathroom?", "response": "no"}, {"question": "Is it a common household object found in an office or study?", "response": "no"}, {"question": "Is it a common household object found in hallways or used for organization?", "response": "no"}, {"question": "Is it a common household object used for illumination?", "response": "no"}, {"question": "Is it a common household object used for timekeeping?", "response": "no"}, {"question": "Is it a mirror?", "response": "no"}]}
+{"index": 158, "id": "edbd2a58-0f15-4ec2-bca7-a32882942489", "answer": "The Joker", "category": "character", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living organism?", "response": "yes"}, {"question": "Is it an animal?", "response": "n/a"}, {"question": "Is it a real animal?", "response": "no"}, {"question": "Is it a fictional creature?", "response": "no"}, {"question": "Is it a mythical being?", "response": "no"}, {"question": "Is it a plant?", "response": "no"}, {"question": "Is it a fungus?", "response": "no"}, {"question": "Is it a microorganism?", "response": "no"}, {"question": "Is it a non-animal living organism?", "response": "no"}, {"question": "Is it a living organism that is not classified under known biological kingdoms?", "response": "no"}, {"question": "Is it a concept?", "response": "no"}, {"question": "Is it a natural phenomenon?", "response": "no"}, {"question": "Is it a virus?", "response": "no"}, {"question": "Is it a natural geological formation?", "response": "no"}, {"question": "Is it a natural biological entity?", "response": "no"}, {"question": "Is it a natural entity that is not biological or geological in nature?", "response": "no"}, {"question": "Is it an abstract entity?", "response": "no"}, {"question": "Is it a fictional character?", "response": "yes"}, {"question": "Is it a character from a fairy tale?", "response": "no"}, {"question": "Is it a superhero?", "response": "no"}]}
+{"index": 128, "id": "08dec2a4-6333-463b-b888-1592230d55d3", "answer": "Golf", "category": "sport", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living organism?", "response": "no"}, {"question": "Is it a man-made object?", "response": "no"}, {"question": "Is it a natural phenomenon?", "response": "no"}, {"question": "Is it a physical place or location?", "response": "no"}, {"question": "Is it an abstract concept?", "response": "no"}, {"question": "Is it a celestial body?", "response": "no"}, {"question": "Is it a force or form of energy?", "response": "no"}, {"question": "Is it a geological formation?", "response": "no"}, {"question": "Is it a body of water?", "response": "no"}, {"question": "Is it a meteorological event?", "response": "no"}, {"question": "Is it a subatomic particle?", "response": "no"}, {"question": "Is it a mathematical constant?", "response": "no"}, {"question": "Is it a naturally occurring chemical element?", "response": "no"}, {"question": "Is it a naturally occurring mineral?", "response": "no"}, {"question": "Is it a naturally occurring organic compound?", "response": "no"}, {"question": "Is it a naturally occurring inorganic compound?", "response": "n/a"}, {"question": "Is it a naturally occurring inorganic substance?", "response": "no"}, {"question": "Is it a naturally occurring inorganic compound?", "response": "no"}, {"question": "Is it a naturally occurring non-compound substance?", "response": "n/a"}, {"question": "Is it gravity?", "response": "no"}]}
+{"index": 115, "id": "af113f90-d1a5-4acf-999a-f269624f60bc", "answer": "Music", "category": "concept", "correct": true, "num_tool_calls": 0, "next_question": "", "turn_index": 9, "interactions": [{"question": "Is it a living organism?", "response": "no"}, {"question": "Is it man-made?", "response": "yes"}, {"question": "Is it an object?", "response": "no"}, {"question": "Is it a mode of transportation?", "response": "no"}, {"question": "Is it a form of entertainment?", "response": "yes"}, {"question": "Is it a type of performance art?", "response": "yes"}, {"question": "Is it a form of dance?", "response": "no"}, {"question": "Is it a form of theater?", "response": "no"}, {"question": "Is it music?", "response": "yes"}]}
+{"index": 69, "id": "eb13eaba-e9f0-4559-bbdc-a5c41532d36e", "answer": "Watch", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living thing?", "response": "no"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it an electronic device?", "response": "yes"}, {"question": "Is it primarily used for communication?", "response": "no"}, {"question": "Is it primarily used for entertainment?", "response": "no"}, {"question": "Is it primarily used for generating or consuming energy?", "response": "no"}, {"question": "Is it primarily used for storing or processing data?", "response": "yes"}, {"question": "Is it a computer?", "response": "yes"}, {"question": "Is it a desktop computer?", "response": "no"}, {"question": "Is it a laptop?", "response": "no"}, {"question": "Is it a tablet?", "response": "no"}, {"question": "Is it a smartphone?", "response": "no"}, {"question": "Is it a wearable computer?", "response": "yes"}, {"question": "Is it a smartwatch?", "response": "no"}, {"question": "Is it a fitness tracker?", "response": "no"}, {"question": "Is it Google Glass?", "response": "no"}, {"question": "Is it a VR headset?", "response": "no"}, {"question": "Is it an Apple Watch?", "response": "no"}, {"question": "Is it a smart ring?", "response": "no"}, {"question": "Is it a smart glasses device?", "response": "no"}]}
+{"index": 170, "id": "132aad0f-f8c3-4ba6-a684-4bd5ff4d11c9", "answer": "Cloud", "category": "nature", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living organism?", "response": "no"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it an electronic device?", "response": "no"}, {"question": "Is it a tool?", "response": "yes"}, {"question": "Is it primarily used in household tasks?", "response": "no"}, {"question": "Is it primarily used in construction or outdoor work?", "response": "no"}, {"question": "Is it a tool used in sports or physical activities?", "response": "no"}, {"question": "Is it a tool used in artistic or creative activities?", "response": "yes"}, {"question": "Is it a paintbrush?", "response": "no"}, {"question": "Is it a writing instrument?", "response": "no"}, {"question": "Is it a sculpting tool?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a tool used in drawing or sketching?", "response": "no"}, {"question": "Is it a sewing needle?", "response": "no"}, {"question": "Is it a chisel?", "response": "no"}, {"question": "Is it a tool used in printing or engraving?", "response": "no"}, {"question": "Is it a tool used in woodworking or carving?", "response": "no"}, {"question": "Is it a tool used in metalworking or jewelry making?", "response": "no"}, {"question": "Is it a tool used in pottery or ceramics?", "response": "no"}, {"question": "Is it a spatula?", "response": "no"}]}
+{"index": 174, "id": "4f9e30b2-2deb-40c8-abce-2bb459634596", "answer": "Treasure", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it an animal?", "response": "no"}, {"question": "Is it a living thing?", "response": "no"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it an electronic device?", "response": "no"}, {"question": "Is it a household object?", "response": "no"}, {"question": "Is it a tool?", "response": "no"}, {"question": "Is it a piece of furniture?", "response": "no"}, {"question": "Is it a piece of clothing?", "response": "no"}, {"question": "Is it a kitchen utensil?", "response": "no"}, {"question": "Is it a type of sports equipment?", "response": "no"}, {"question": "Is it a form of transportation?", "response": "no"}, {"question": "Is it a writing instrument?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a book?", "response": "no"}, {"question": "Is it a piece of jewelry?", "response": "no"}, {"question": "Is it a mirror?", "response": "no"}, {"question": "Is it a clock?", "response": "no"}, {"question": "Is it a key?", "response": "no"}, {"question": "Is it a hammer?", "response": "no"}, {"question": "Is it a chair?", "response": "no"}]}
+{"index": 45, "id": "8fd61c6f-24d7-4b18-8b6a-10cac54eb706", "answer": "Eagle", "category": "animal", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living organism?", "response": "yes"}, {"question": "Is it an animal?", "response": "yes"}, {"question": "Does it live primarily in water?", "response": "no"}, {"question": "Does it have fur?", "response": "no"}, {"question": "Does it have feathers?", "response": "yes"}, {"question": "Is it a bird?", "response": "yes"}, {"question": "Is it a flightless bird?", "response": "no"}, {"question": "Is it a bird commonly found in urban or city environments?", "response": "no"}, {"question": "Is it a bird that migrates long distances?", "response": "yes"}, {"question": "Is it a bird that migrates across continents?", "response": "yes"}, {"question": "Is it a bird that breeds in the Arctic and winters in the Antarctic?", "response": "no"}, {"question": "Is it the Arctic Tern?", "response": "no"}, {"question": "Is it the Barn Swallow?", "response": "no"}, {"question": "Is it the **Bald Eagle**?", "response": "no"}, {"question": "Is it the **Swallow**?", "response": "no"}, {"question": "Is it the **American Robin**?", "response": "no"}, {"question": "Is it the **Peregrine Falcon**?", "response": "no"}, {"question": "Is it the **Bar-tailed Godwit**?", "response": "no"}, {"question": "Is it the **Arctic Tern**?", "response": "no"}, {"question": "Is it the **Swainson's Hawk**?", "response": "no"}]}
+{"index": 66, "id": "2fa619e1-07e8-40e9-97f9-93d080a46297", "answer": "Umbrella", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a living organism?", "response": "no"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it a tool?", "response": "yes"}, {"question": "Is it typically used in a household setting?", "response": "no"}, {"question": "Is it a tool used in construction or building?", "response": "no"}, {"question": "Is it a tool used in sports or physical activities?", "response": "no"}, {"question": "Is it a tool used in artistic or creative activities?", "response": "yes"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a tool used in visual arts, such as drawing or painting?", "response": "no"}, {"question": "Is it a tool used in writing or\u4e66\u6cd5 (calligraphy)?", "response": "no"}, {"question": "Is it a tool used in sculpting or carving?", "response": "no"}, {"question": "Is it a tool used in photography or filmmaking?", "response": "yes"}, {"question": "Is it a camera?", "response": "no"}, {"question": "Is it a tripod?", "response": "no"}, {"question": "Is it a microphone?", "response": "no"}, {"question": "Is it a lighting equipment used in photography or filmmaking?", "response": "yes"}, {"question": "Is it a reflector?", "response": "no"}, {"question": "Is it a softbox?", "response": "no"}, {"question": "Is it a diffuser?", "response": "yes"}, {"question": "Is it a flash?", "response": "no"}]}

examples/tinker/test-results/twenty_questions_qwen30b_notool_gpt5mini_20251026.jsonl

@@ -0,0 +1,17 @@
+{"index": 95, "id": "ecb79aa7-50c6-48cd-9f88-3bd2b33fee65", "answer": "Spaghetti", "category": "food", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it an animal?", "response": "no"}, {"question": "Is it a thing that can be found in a kitchen?", "response": "yes"}, {"question": "Is it a cooking utensil?", "response": "no"}, {"question": "Is it a kitchen appliance?", "response": "no"}, {"question": "Is it a food?", "response": "yes"}, {"question": "Is it a fruit?", "response": "no"}, {"question": "Is it a vegetable?", "response": "no"}, {"question": "Is it a type of grain?", "response": "no"}, {"question": "Is it a type of nut?", "response": "no"}, {"question": "Is it a spice?", "response": "no"}, {"question": "Is it a condiment?", "response": "no"}, {"question": "Is it a common ingredient in salad dressings?", "response": "no"}, {"question": "Is it a dairy product?", "response": "no"}, {"question": "Is it a type of bread?", "response": "no"}, {"question": "Is it a type of bean?", "response": "no"}, {"question": "Is it a type of legume?", "response": "no"}, {"question": "Is it a type of seasoning?", "response": "no"}, {"question": "Is it olive oil?", "response": "no"}]}
+{"index": 15, "id": "66f66c06-5a44-4933-a2f3-8d77c0882520", "answer": "Isaac Newton", "category": "person", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "yes"}, {"question": "Is it a real person rather than a fictional character?", "response": "yes"}, {"question": "Is it a historically significant figure?", "response": "yes"}, {"question": "Is it a person who lived more than 100 years ago?", "response": "yes"}, {"question": "Is it a person who lived more than 500 years ago?", "response": "no"}, {"question": "Is it a person who lived more than 1,000 years ago?", "response": "no"}, {"question": "Is it a person who lived between 500 and 1,000 years ago?", "response": "no"}, {"question": "Is it a person who lived between 400 and 500 years ago?", "response": "no"}, {"question": "Is it a person who lived between 300 and 400 years ago?", "response": "yes"}, {"question": "Is it a person who lived between 300 and 350 years ago?", "response": "yes"}, {"question": "Is it a person who lived between 300 and 325 years ago?", "response": "yes"}, {"question": "Is it a person who lived between 300 and 312 years ago?", "response": "yes"}, {"question": "Is it a person who lived between 300 and 306 years ago?", "response": "yes"}, {"question": "Is it a person who lived between 300 and 303 years ago?", "response": "yes"}, {"question": "Is it a person who lived between 300 and 301 years ago?", "response": "no"}, {"question": "Is it a person who lived between 301 and 303 years ago?", "response": "yes"}, {"question": "Is it a person who lived between 301 and 302 years ago?", "response": "yes"}, {"question": "Is it a person who lived around 301 or 302 years ago?", "response": "no"}, {"question": "Is it Christopher Columbus?", "response": "no"}, {"question": "Is it Leonardo da Vinci?", "response": "no"}]}
+{"index": 30, "id": "f5cd3b71-a715-4b57-8cf6-e36fe9b5cd6f", "answer": "Taj Mahal", "category": "place", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it an object?", "response": "yes"}, {"question": "Is it a tool?", "response": "no"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it a household item?", "response": "no"}, {"question": "Is it a piece of furniture?", "response": "no"}, {"question": "Is it a kitchen appliance?", "response": "no"}, {"question": "Is it a transportation device?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a piece of technology?", "response": "no"}, {"question": "Is it a piece of electronic equipment?", "response": "no"}, {"question": "Is it a piece of wearable technology?", "response": "no"}, {"question": "Is it a type of container?", "response": "no"}, {"question": "Is it a piece of decorative art?", "response": "no"}, {"question": "Is it a piece of equipment used in sports?", "response": "no"}, {"question": "Is it a piece of equipment used in medical settings?", "response": "no"}, {"question": "Is it a type of machine?", "response": "no"}, {"question": "Is it a piece of equipment used in construction?", "response": "no"}, {"question": "Is it a piece of outdoor recreational equipment?", "response": "no"}, {"question": "Is it a key?", "response": "no"}]}
+{"index": 158, "id": "99e2b570-e49a-4490-af10-bdddeed11e9f", "answer": "The Joker", "category": "character", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "yes"}, {"question": "Is it a real person?", "response": "no"}, {"question": "Is it a fictional character from a well-known book or film?", "response": "yes"}, {"question": "Is it a character from a famous fantasy story?", "response": "no"}, {"question": "Is it a character from a famous science fiction story?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction literature?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction television?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction film?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction film that is also a cyborg?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction that is not a cyborg but has enhanced technological abilities?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction that is not a cyborg and does not have enhanced technological abilities, but is instead magical or supernatural in nature?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction that is not a cyborg, does not have enhanced technological abilities, and is not magical or supernatural, but is instead a human with extraordinary leadership or strategic abilities?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction that is a robot or artificial intelligence?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction that is a humanoid alien?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction that is a non-human entity with biological but non-terrestrial origins?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction that is a non-human entity with biological but non-terrestrial origins?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction that is a non-human entity with biological but non-terrestrial origins?", "response": "no"}, {"question": "Is it a character from a famous work of science fiction that is a non-human entity with biological but non-terrestrial origins?", "response": "no"}, {"question": "Is it a character from a famous work of fantasy literature?", "response": "no"}, {"question": "Is it a character from a famous work of fantasy film or television?", "response": "no"}]}
+{"index": 128, "id": "264a18f6-92d4-4d97-ad8d-46a666233832", "answer": "Golf", "category": "sport", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it an animal?", "response": "no"}, {"question": "Is it a real-world object?", "response": "no"}, {"question": "Is it a concept?", "response": "no"}, {"question": "Is it a fictional character?", "response": "no"}, {"question": "Is it a food?", "response": "no"}, {"question": "Is it a sport?", "response": "yes"}, {"question": "Is it a team sport?", "response": "no"}, {"question": "Is it an individual athletic event?", "response": "yes"}, {"question": "Is it swimming?", "response": "no"}, {"question": "Is it gymnastics?", "response": "no"}, {"question": "Is it a track and field event?", "response": "no"}, {"question": "Is it a throwing event?", "response": "no"}, {"question": "Is it a martial arts competition?", "response": "no"}, {"question": "Is it wrestling?", "response": "no"}, {"question": "Is it a combat sport?", "response": "no"}, {"question": "Is it fencing?", "response": "no"}, {"question": "Is it archery?", "response": "no"}, {"question": "Is it boxing?", "response": "no"}]}
+{"index": 115, "id": "7cb18e36-d62a-4ee3-908e-3b62a64aff6c", "answer": "Music", "category": "concept", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it an animal?", "response": "no"}, {"question": "Is it an object?", "response": "no"}, {"question": "Is it a concept?", "response": "yes"}, {"question": "Is it a tangible concept?", "response": "no"}, {"question": "Is it an abstract concept?", "response": "yes"}, {"question": "Is it a fundamental idea in philosophy?", "response": "no"}, {"question": "Is it a concept related to human consciousness?", "response": "yes"}, {"question": "Is it a concept related to self-awareness?", "response": "no"}, {"question": "Is it a concept related to perception or awareness?", "response": "yes"}, {"question": "Is it a concept related to mental awareness?", "response": "yes"}, {"question": "Is it a concept related to attention?", "response": "no"}, {"question": "Is it consciousness?", "response": "no"}, {"question": "Is it attention?", "response": "no"}, {"question": "Is it a mental state that involves awareness of one's surroundings?", "response": "no"}, {"question": "Is it mindfulness?", "response": "no"}, {"question": "Is it awareness?", "response": "no"}, {"question": "Is it a state of being awake?", "response": "no"}, {"question": "Is it cognition?", "response": "no"}]}
+{"index": 69, "id": "36f865ac-e58e-4497-9d93-cce241a2c8c0", "answer": "Watch", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it an object?", "response": "yes"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it a tool?", "response": "yes"}, {"question": "Is it used for cutting?", "response": "no"}, {"question": "Is it a writing instrument?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a kitchen utensil?", "response": "no"}, {"question": "Is it a handheld tool used for driving nails?", "response": "no"}, {"question": "Is it a type of fastener?", "response": "no"}, {"question": "Is it a type of container?", "response": "no"}, {"question": "Is it a type of clothing?", "response": "no"}, {"question": "Is it a type of measuring tool?", "response": "yes"}, {"question": "Is it a measuring tool used for determining distance?", "response": "no"}, {"question": "Is it a measuring tool used for measuring angles?", "response": "no"}, {"question": "Is it a measuring tool used for determining weight?", "response": "no"}, {"question": "Is it a scale?", "response": "no"}, {"question": "Is it a measuring tool used for length?", "response": "no"}, {"question": "Is it a ruler?", "response": "no"}]}
+{"index": 170, "id": "cc9181ed-1690-4947-a863-e49d260e0cf2", "answer": "Cloud", "category": "nature", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "yes"}, {"question": "Is it a fictional character?", "response": "yes"}, {"question": "Is it a character from a well-known book?", "response": "no"}, {"question": "Is it a character from a famous movie?", "response": "yes"}, {"question": "Is it a character from a major Hollywood franchise?", "response": "no"}, {"question": "Is it a character from a Marvel or DC film?", "response": "no"}, {"question": "Is it a character from a Star Wars film?", "response": "no"}, {"question": "Is it a character from a non-Marvel, non-DC, non-Star Wars blockbuster film?", "response": "no"}, {"question": "Is it a character from a famous fantasy film?", "response": "yes"}, {"question": "Is it a character from The Lord of the Rings film trilogy?", "response": "no"}, {"question": "Is it a character from a famous fantasy film produced by DreamWorks?", "response": "no"}, {"question": "Is it a character from a famous fantasy film produced by Walt Disney Pictures?", "response": "no"}, {"question": "Is it a character from a famous fantasy film produced by Pixar?", "response": "no"}, {"question": "Is it a character from a famous fantasy film produced by Universal Pictures?", "response": "no"}, {"question": "Is it a character from a famous fantasy film produced by Columbia Pictures?", "response": "no"}, {"question": "Is it a character from a famous fantasy film produced by Warner Bros.?", "response": "no"}, {"question": "Is it a character from a famous fantasy film produced by a studio other than Disney, DreamWorks, Pixar, Universal, Columbia, Warner Bros., Marvel, DC, or Star Wars?", "response": "yes"}, {"question": "Is it a character from a famous fantasy film produced by a studio that is not a major Hollywood studio and not associated with the major franchises?", "response": "no"}, {"question": "Is it a character from a famous fantasy film produced by a studio known primarily for non-franchise, original content?", "response": "no"}, {"question": "Is it a character from the film *Pan's Labyrinth*?", "response": "no"}]}
+{"index": 174, "id": "43a4ca76-14aa-47a4-8a49-f94226b933c4", "answer": "Treasure", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it an animal?", "response": "no"}, {"question": "Is it an object?", "response": "yes"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it a tool used for cutting?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a household object?", "response": "no"}, {"question": "Is it used for writing or drawing?", "response": "no"}, {"question": "Is it a transport vehicle?", "response": "no"}, {"question": "Is it a device used for communication?", "response": "no"}, {"question": "Is it a piece of electronic equipment?", "response": "no"}, {"question": "Is it a piece of furniture?", "response": "no"}, {"question": "Is it a type of food?", "response": "no"}, {"question": "Is it a type of clothing?", "response": "no"}, {"question": "Is it a type of technology?", "response": "no"}, {"question": "Is it a type of weapon?", "response": "no"}, {"question": "Is it a type of container?", "response": "no"}, {"question": "Is it a key?", "response": "no"}, {"question": "Is it a door?", "response": "no"}]}
+{"index": 45, "id": "355b031a-c5ec-41ca-926d-8343b2944953", "answer": "Eagle", "category": "animal", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it a thing?", "response": "yes"}, {"question": "Is it an animal?", "response": "yes"}, {"question": "Is it a mammal?", "response": "no"}, {"question": "Is it a reptile?", "response": "no"}, {"question": "Is it a bird?", "response": "yes"}, {"question": "Is it a bird that can fly?", "response": "yes"}, {"question": "Is it a bird that is commonly found in urban environments?", "response": "no"}, {"question": "Is it a bird that is native to the Americas?", "response": "yes"}, {"question": "Is it a bird that is native to North America and known for its bright red crest?", "response": "no"}, {"question": "Is it a bird native to North America that is known for its loud, distinctive call?", "response": "yes"}, {"question": "Is it a North American bird known for its loud, territorial call and commonly associated with forests?", "response": "no"}, {"question": "Is it a North American bird known for its loud, territorial call and commonly associated with open fields or grasslands?", "response": "no"}, {"question": "Is it a North American bird known for its loud, territorial call and commonly associated with wetlands?", "response": "no"}, {"question": "Is it a North American bird known for its loud, territorial call and commonly associated with open marshes?", "response": "no"}, {"question": "Is it a North American bird known for its loud, territorial call and commonly associated with wooded areas?", "response": "no"}, {"question": "Is it a North American bird known for its loud, territorial call and commonly associated with dense forests?", "response": "no"}, {"question": "Is it a North American bird known for its loud, territorial call and commonly associated with open woodlands?", "response": "no"}, {"question": "Is it a Northern Cardinal?", "response": "no"}]}
+{"index": 66, "id": "7142ebe4-c53b-4009-b995-cfe208af82a6", "answer": "Umbrella", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it an object?", "response": "yes"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it a tool?", "response": "yes"}, {"question": "Is it a handheld tool?", "response": "yes"}, {"question": "Is it used for cutting?", "response": "no"}, {"question": "Is it a knife?", "response": "no"}, {"question": "Is it a writing instrument?", "response": "no"}, {"question": "Is it a measuring tool?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a container?", "response": "no"}, {"question": "Is it a common household tool used for driving nails?", "response": "no"}, {"question": "Is it a handheld, man-made tool used for gripping or holding objects?", "response": "no"}, {"question": "Is it a handheld, man-made tool used for turning screws?", "response": "no"}, {"question": "Is it a handheld, man-made tool used for tightening or loosening bolts?", "response": "no"}, {"question": "Is it a handheld, man-made tool used for gripping or holding objects?", "response": "no"}, {"question": "Is it a handheld, man-made tool used for shaping or smoothing surfaces?", "response": "no"}, {"question": "Is it a handheld, man-made tool used for lifting or prying objects?", "response": "no"}, {"question": "Is it a wrench?", "response": "no"}]}
+{"index": 182, "id": "f9173612-999a-441f-bb71-29a4ff49ceb2", "answer": "Wallet", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it an animal?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it a thing that can be found in a kitchen?", "response": "no"}, {"question": "Is it a concept?", "response": "no"}, {"question": "Is it a sport?", "response": "no"}, {"question": "Is it a fictional character?", "response": "no"}, {"question": "Is it a natural phenomenon?", "response": "no"}, {"question": "Is it an object?", "response": "yes"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a tool used for cutting?", "response": "no"}, {"question": "Is it a device used for communication?", "response": "no"}, {"question": "Is it a computer?", "response": "no"}, {"question": "Is it a type of fruit?", "response": "no"}, {"question": "Is it a type of clothing?", "response": "no"}, {"question": "Is it a type of plant?", "response": "no"}, {"question": "Is it a type of vehicle?", "response": "no"}, {"question": "Is it a type of energy?", "response": "no"}, {"question": "Is it a type of weather?", "response": "no"}, {"question": "Is it a coin?", "response": "no"}]}
+{"index": 165, "id": "5e69a65d-7c3e-403e-9398-ec80fbd9e27d", "answer": "Moon", "category": "nature", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "yes"}, {"question": "Is it a natural place?", "response": "yes"}, {"question": "Is it a mountain?", "response": "no"}, {"question": "Is it a continent?", "response": "no"}, {"question": "Is it a river?", "response": "no"}, {"question": "Is it a lake?", "response": "no"}, {"question": "Is it a lake larger than 10,000 square kilometers?", "response": "no"}, {"question": "Is it a large freshwater lake?", "response": "no"}, {"question": "Is it a large lake smaller than 10,000 square kilometers?", "response": "no"}, {"question": "Is it a body of water smaller than 10,000 square kilometers?", "response": "no"}, {"question": "Is it a lake smaller than 1,000 square kilometers?", "response": "no"}, {"question": "Is it a lake smaller than 100 square kilometers?", "response": "no"}, {"question": "Is it a lake smaller than 10 square kilometers?", "response": "no"}, {"question": "Is it a body of water smaller than 1 square kilometer?", "response": "no"}, {"question": "Is it a lake smaller than 1 square kilometer?", "response": "no"}, {"question": "Is it a body of water smaller than 0.1 square kilometers?", "response": "no"}, {"question": "Is it a lake smaller than 0.01 square kilometers?", "response": "no"}, {"question": "Is it a body of water smaller than 0.001 square kilometers?", "response": "no"}, {"question": "Is it the Sea of Galilee?", "response": "no"}]}
+{"index": 78, "id": "47314f82-d3a4-4d25-9dae-831c723172dd", "answer": "Harp", "category": "instrument", "correct": true, "num_tool_calls": 0, "next_question": "", "turn_index": 16, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it an animal?", "response": "no"}, {"question": "Is it a thing?", "response": "yes"}, {"question": "Is it a natural object?", "response": "no"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it a tool?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "yes"}, {"question": "Is it a stringed instrument?", "response": "yes"}, {"question": "Is it a guitar?", "response": "no"}, {"question": "Is it a percussion instrument?", "response": "no"}, {"question": "Is it a keyboard instrument?", "response": "no"}, {"question": "Is it a keyboard instrument that uses strings struck by hammers?", "response": "no"}, {"question": "Is it a piano?", "response": "no"}, {"question": "Is it a violin?", "response": "no"}, {"question": "Is it a harp?", "response": "yes"}]}
+{"index": 186, "id": "3ce593f2-2090-4c70-a80c-431445b22dc6", "answer": "Blanket", "category": "object", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it an animal?", "response": "no"}, {"question": "Is it an object?", "response": "yes"}, {"question": "Is it a man-made object?", "response": "yes"}, {"question": "Is it a tool?", "response": "no"}, {"question": "Is it a piece of furniture?", "response": "no"}, {"question": "Is it a technological device?", "response": "no"}, {"question": "Is it a musical instrument?", "response": "no"}, {"question": "Is it a type of kitchen utensil?", "response": "no"}, {"question": "Is it a type of container?", "response": "no"}, {"question": "Is it a type of clothing?", "response": "no"}, {"question": "Is it a type of transportation?", "response": "no"}, {"question": "Is it a type of weapon?", "response": "no"}, {"question": "Is it a type of electronic device?", "response": "no"}, {"question": "Is it a type of household item?", "response": "yes"}, {"question": "Is it a type of kitchen appliance?", "response": "no"}, {"question": "Is it a type of cleaning tool?", "response": "no"}, {"question": "Is it a type of light fixture?", "response": "no"}, {"question": "Is it a chair?", "response": "no"}]}
+{"index": 177, "id": "f7880480-187f-44cb-b4e6-9b55103d7d69", "answer": "Wizard", "category": "character", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "yes"}, {"question": "Is it a historical figure?", "response": "no"}, {"question": "Is it a fictional character?", "response": "yes"}, {"question": "Is it a character from a famous book?", "response": "yes"}, {"question": "Is it a character from a classic novel?", "response": "no"}, {"question": "Is it a character from a 20th-century novel?", "response": "yes"}, {"question": "Is it a character from a well-known 20th-century novel by a British author?", "response": "no"}, {"question": "Is it a character from a 20th-century novel by an American author?", "response": "yes"}, {"question": "Is it a character from a 20th-century American novel by a female author?", "response": "yes"}, {"question": "Is it a character from a 20th-century American novel by a female author who is also a prominent figure in feminist literature?", "response": "yes"}, {"question": "Is it a character from *The Handmaid's Tale*?", "response": "no"}, {"question": "Is it a character from a 20th-century American feminist novel by Margaret Atwood?", "response": "no"}, {"question": "Is it a character from a 20th-century American feminist novel by a female author who wrote a prominent work on gender and power?", "response": "no"}, {"question": "Is it a character from a 20th-century American feminist novel by a female author who wrote *The Feminine Mystique*?", "response": "no"}, {"question": "Is it a character from a 20th-century American feminist novel by a female author who wrote a seminal work on women's societal roles?", "response": "no"}, {"question": "Is it a character from a 20th-century American feminist novel by a female author who wrote a major work on reproductive rights?", "response": "no"}, {"question": "Is it a character from a 20th-century American feminist novel by a female author who wrote a book about the limitations of domestic life?", "response": "no"}, {"question": "Is it a character from a 20th-century American feminist novel by a female author who wrote about the constraints of marriage and motherhood?", "response": "no"}, {"question": "Is it a character from a 20th-century American feminist novel by a female author who wrote about the psychological toll of oppression in domestic roles?", "response": "no"}, {"question": "Is it a character from a 20th-century American feminist novel by a female author who wrote *The Bell Jar*?", "response": "no"}]}
+{"index": 56, "id": "b33a5e2e-c26d-4766-9225-2bcca038a286", "answer": "Bear", "category": "animal", "correct": false, "num_tool_calls": 0, "next_question": "", "turn_index": 20, "interactions": [{"question": "Is it a person?", "response": "no"}, {"question": "Is it a place?", "response": "no"}, {"question": "Is it an animal?", "response": "yes"}, {"question": "Is it a mammal?", "response": "yes"}, {"question": "Is it a domestic animal?", "response": "no"}, {"question": "Is it a wild animal that is larger than a fox?", "response": "yes"}, {"question": "Is it a predator?", "response": "yes"}, {"question": "Is it a big cat?", "response": "no"}, {"question": "Is it a feline predator that lives in Asia?", "response": "no"}, {"question": "Is it a large wild cat native to Africa?", "response": "no"}, {"question": "Is it a large wild feline found in the Americas?", "response": "no"}, {"question": "Is it a large wild carnivore native to the Americas that is not a big cat?", "response": "yes"}, {"question": "Is it a large wild carnivore native to North America?", "response": "yes"}, {"question": "Is it a large wild carnivore native to North America that is not a bear?", "response": "no"}, {"question": "Is it a wolf?", "response": "no"}, {"question": "Is it a jaguar?", "response": "no"}, {"question": "Is it a cougar?", "response": "no"}, {"question": "Is it a puma?", "response": "no"}, {"question": "Is it a wolverine?", "response": "no"}, {"question": "Is it a coyote?", "response": "no"}]}

examples/tinker/tests/__init__.py

@@ -0,0 +1 @@
+# Copyright (c) Microsoft. All rights reserved.

examples/tinker/tests/test_llm.py

@@ -0,0 +1,101 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import logging
+import time
+from typing import cast
+
+import openai
+import tinker
+from agl_tinker.llm import TinkerLLM
+from agl_tinker.rollout import reconstruct_transitions
+from rich.console import Console
+from tinker_cookbook.renderers import Qwen3Renderer
+from transformers import AutoTokenizer, PreTrainedTokenizer
+
+from agentlightning import (
+    AgentOpsTracer,
+    InMemoryLightningStore,
+    LLMProxy,
+    TracerTraceToTriplet,
+    configure_logger,
+    emit_reward,
+)
+
+configure_logger(name="agentlightning")
+configure_logger(name="agl_tinker", level=logging.INFO)
+
+
+async def main():
+    console = Console()
+    model_name = "Qwen/Qwen3-30B-A3B-Instruct-2507"
+
+    tokenizer = cast(PreTrainedTokenizer, AutoTokenizer.from_pretrained(model_name))  # type: ignore
+    renderer = Qwen3Renderer(tokenizer)  # type: ignore
+    service_client = tinker.ServiceClient()
+    sampling_client = service_client.create_sampling_client(base_model=model_name)
+    tinker_llm = TinkerLLM(
+        model_name=model_name, renderer=renderer, tokenizer=tokenizer, sampling_client=sampling_client, max_tokens=20
+    )
+    tinker_llm.rewrite_litellm_custom_providers()
+
+    store = InMemoryLightningStore()
+    rollout = await store.start_rollout("dummy", "train")
+    llm_proxy = LLMProxy(
+        port=4000,
+        store=store,
+        model_list=tinker_llm.as_model_list(),
+        num_retries=0,
+    )
+
+    try:
+        tracer = AgentOpsTracer()
+        tracer.init()
+        tracer.init_worker(0)
+
+        # init tracer before llm_proxy to avoid tracer provider being not active.
+        console.print("Starting LLM proxy...")
+        llm_proxy.start()
+        console.print("LLM proxy started")
+
+        # client = openai.OpenAI(
+        #     base_url=f"http://localhost:4000/rollout/{rollout.rollout_id}/attempt/{rollout.attempt.attempt_id}",
+        #     api_key="dummy",
+        # )
+        client = openai.OpenAI(base_url="http://localhost:4000/v1", api_key="dummy")
+
+        async with tracer.trace_context(
+            name="test_llm", store=store, rollout_id=rollout.rollout_id, attempt_id=rollout.attempt.attempt_id
+        ):
+            response = client.chat.completions.create(
+                model=model_name,
+                messages=[{"role": "user", "content": "Hello world!"}],
+                max_tokens=10,
+                temperature=0.5,
+                top_p=0.9,
+                seed=43,
+            )
+            print(response)
+            emit_reward(8.0)
+
+        print(f"Found {len(tracer.get_last_trace())} spans in the tracer")
+
+        tracer.teardown_worker(0)
+        tracer.teardown()
+
+        for store_span in await store.query_spans(rollout.rollout_id):
+            print(store_span)
+
+        spans = await store.query_spans(rollout.rollout_id)
+        console.print(f"Found {len(spans)} spans")
+        adapter = TracerTraceToTriplet()
+        trajectory = reconstruct_transitions(spans, adapter, rollout.rollout_id)
+        print(trajectory)
+    finally:
+        console.print("Stopping LLM proxy...")
+        llm_proxy.stop()
+        console.print("LLM proxy stopped")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

examples/tinker/tests/test_pingpong.py

@@ -0,0 +1,37 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import logging
+
+from agl_tinker.env import AGLDatasetBuilder
+from agl_tinker.train import Config
+from agl_tinker.train import main as training_loop
+
+from agentlightning import configure_logger
+
+configure_logger(name="agentlightning")
+configure_logger(name="agl_tinker", level=logging.INFO)
+
+
+def main():
+    dataset_builder = AGLDatasetBuilder(
+        train_dataset=[f"Hello {i}" for i in range(30)],
+        batch_size=10,
+        shuffle=True,
+        group_size=4,
+        seed=42,
+    )
+
+    config = Config(
+        learning_rate=1e-4,
+        dataset_builder=dataset_builder,
+        model_name="Qwen/Qwen3-30B-A3B-Instruct-2507",
+        log_path="logs",
+        max_tokens=20,
+    )
+
+    asyncio.run(training_loop(config))
+
+
+if __name__ == "__main__":
+    main()

examples/tinker/tinker_trial.py

@@ -0,0 +1,98 @@
+import tinker
+
+service_client = tinker.ServiceClient()
+print("Available models:")
+for item in service_client.get_server_capabilities().supported_models:
+    print("- " + item.model_name)
+
+base_model = "Qwen/Qwen3-30B-A3B-Base"
+training_client = service_client.create_lora_training_client(base_model=base_model)
+
+# Create some training examples
+examples = [
+    {"input": "banana split", "output": "anana-bay plit-say"},
+    {"input": "quantum physics", "output": "uantum-qay ysics-phay"},
+    {"input": "donut shop", "output": "onut-day op-shay"},
+    {"input": "pickle jar", "output": "ickle-pay ar-jay"},
+    {"input": "space exploration", "output": "ace-spay exploration-way"},
+    {"input": "rubber duck", "output": "ubber-ray uck-day"},
+    {"input": "coding wizard", "output": "oding-cay izard-way"},
+]
+
+# Convert examples into the format expected by the training client
+from tinker import types
+
+# Get the tokenizer from the training client
+tokenizer = training_client.get_tokenizer()
+
+
+def process_example(example: dict, tokenizer) -> types.Datum:
+    # Format the input with Input/Output template
+    # For most real use cases, you'll want to use a renderer / chat template,
+    # (see later docs) but here, we'll keep it simple.
+    prompt = f"English: {example['input']}\nPig Latin:"
+
+    prompt_tokens = tokenizer.encode(prompt, add_special_tokens=True)
+    prompt_weights = [0] * len(prompt_tokens)
+    # Add a space before the output string, and finish with double newline
+    completion_tokens = tokenizer.encode(f" {example['output']}\n\n", add_special_tokens=False)
+    completion_weights = [1] * len(completion_tokens)
+
+    tokens = prompt_tokens + completion_tokens
+    weights = prompt_weights + completion_weights
+
+    input_tokens = tokens[:-1]
+    target_tokens = tokens[1:]  # We're predicting the next token, so targets need to be shifted.
+    weights = weights[1:]
+
+    # A datum is a single training example for the loss function.
+    # It has model_input, which is the input sequence that'll be passed into the LLM,
+    # loss_fn_inputs, which is a dictionary of extra inputs used by the loss function.
+    return types.Datum(
+        model_input=types.ModelInput.from_ints(tokens=input_tokens),
+        loss_fn_inputs=dict(weights=weights, target_tokens=target_tokens),
+    )
+
+
+processed_examples = [process_example(ex, tokenizer) for ex in examples]
+
+# Visualize the first example for debugging purposes
+datum0 = processed_examples[0]
+print(f"{'Input':<20} {'Target':<20} {'Weight':<10}")
+print("-" * 50)
+for i, (inp, tgt, wgt) in enumerate(
+    zip(
+        datum0.model_input.to_ints(),
+        datum0.loss_fn_inputs["target_tokens"].tolist(),
+        datum0.loss_fn_inputs["weights"].tolist(),
+    )
+):
+    print(f"{repr(tokenizer.decode([inp])):<20} {repr(tokenizer.decode([tgt])):<20} {wgt:<10}")
+
+import numpy as np
+
+for _ in range(6):
+    fwdbwd_future = training_client.forward_backward(processed_examples, "cross_entropy")
+    optim_future = training_client.optim_step(types.AdamParams(learning_rate=1e-4))
+
+    # Wait for the results
+    fwdbwd_result = fwdbwd_future.result()
+    optim_result = optim_future.result()
+
+    # fwdbwd_result contains the logprobs of all the tokens we put in. Now we can compute the weighted
+    # average log loss per token.
+    logprobs = np.concatenate([output["logprobs"].tolist() for output in fwdbwd_result.loss_fn_outputs])
+    weights = np.concatenate([example.loss_fn_inputs["weights"].tolist() for example in processed_examples])
+    print(f"Loss per token: {-np.dot(logprobs, weights) / weights.sum():.4f}")
+
+# First, create a sampling client. We need to transfer weights
+sampling_client = training_client.save_weights_and_get_sampling_client(name="pig-latin-model")
+
+# Now, we can sample from the model.
+prompt = types.ModelInput.from_ints(tokenizer.encode("English: coffee break\nPig Latin:"))
+params = types.SamplingParams(max_tokens=20, temperature=0.0, stop=["\n"])  # Greedy sampling
+future = sampling_client.sample(prompt=prompt, sampling_params=params, num_samples=8)
+result = future.result()
+print("Responses:")
+for i, seq in enumerate(result.sequences):
+    print(f"{i}: {repr(tokenizer.decode(seq.tokens))}")

examples/tinker/twenty_questions.py

@@ -0,0 +1,384 @@
+import json
+import re
+import traceback
+from contextlib import contextmanager
+from typing import Any, List, Literal, Optional, TypedDict, cast
+
+import pandas as pd
+import tinker
+from agl_tinker.llm import TinkerLLM
+from crewai import LLM as CrewLLM
+from crewai import Agent as CrewAgent
+from crewai import BaseLLM
+from crewai import Task as CrewTask
+from crewai.flow import Flow, listen, router, start
+from crewai.tools import BaseTool
+from pydantic import BaseModel, Field
+from rich.console import Console
+from tinker_cookbook.renderers import get_renderer
+from transformers import AutoTokenizer, PreTrainedTokenizer
+
+from agentlightning.llm_proxy import LLMProxy
+from agentlightning.store import InMemoryLightningStore
+
+llm = CrewLLM(model="openai/gpt-4o-mini")
+
+console = Console()
+
+
+class AnswererResponse(BaseModel):
+    # Keep this short; do NOT ask for chain-of-thought
+    brief_reason: Optional[str] = Field(description="1-2 sentences justification (optional, high level only).")
+    yes_or_no: Literal["yes", "no", "n/a"] = Field(
+        description="Whether the correct answer to the player's question is yes, no, or not applicable."
+    )
+    correct: bool = Field(
+        description="Whether the player has correctly guessed the entity, and the game should end now."
+    )
+
+
+PLAYER_QUERY_TEMPLATE = """You are playing 20 Questions as the **Player**.
+Ask one high-information **yes/no** question that most reduces the remaining possibility space.
+If you think you have figured out the secret entity, ask a direct guess in the form: **"Is it <entity>?"**
+
+THIS IS TURN #{turn_index} OF 20. You have {remaining_turns} turns left. The quicker you make a correct guess, the higher your score.
+
+## Important assumptions
+- All answers must belong to one of the following categories: {categories}.
+- All answers are **straightforward, familiar, and commonly known**. They can be at most 3 words long (and only one word long in a majority of cases).
+- Each answer refers to a **single, clear concept** — not a variant, version, or situation-dependent form.
+
+## What you have: Game history (Q/A pairs):
+
+{history}
+
+## Strategy guidelines (concise, practical)
+- **Start broad, then narrow**: prioritize category-level splits first ({categories}), then mid-level properties, then identifiers.
+- **Binary partitioning**: prefer questions that split the remaining set near the middle.
+- **Property over identity**: ask about features/roles/usages before naming brands, species, or specific titles.
+- **Contradiction guard**: if past answers imply a contradiction, ask a short reset/sanity-check question to reconcile.
+- **n/a handling**: if the last answer was **n/a**, pivot wording to a clearer, factual property.
+- **Endgame**: if you have only one turn left, make a direct guess.
+
+## Think first, then answer
+- In a scratchpad, briefly reason about (a) the most informative split now, (b) 1-2 alternates you considered, and (c) why you chose the final question.
+- Write the scratchpad exactly in the required output format below.
+
+## Output format (critical)
+- Return **exactly one line** with this pattern:
+<scratchpad>...</scratchpad> My next question is: ...?
+- Keep the whole output under 150 words. No quotes, no extra fields, no newlines.
+"""
+
+
+ANSWERER_QUERY_TEMPLATE = """You are the **Answerer** in 20 Questions. Answer yes/no questions truthfully about the secret entity; mark correct if guessed exactly.
+
+Your secret entity is: "{answer}".
+
+## The player's current question
+
+{next_question}
+
+## Rules
+
+- Respond only with a structured yes/no evaluation about the entity.
+- Be concise, objective, and consistent with previous answers.
+- Never reveal the entity unless the player guessed correctly.
+- If you don't know the answer, for example, the information is never publicly known, or the question is irrelevant to the entity's nature, answer **"n/a"**.
+
+### Primary-sense rule (important)
+- Answer based on the entity's **primary, literal identity**, not metaphorical associations or what it “can represent.”
+  (Example: a famous building is **not** a "symbol" just because people call it a symbol of love.)
+- Use the multi-meaning rule **only** when the entity's **name itself** has multiple mainstream senses (e.g., “football” the sport vs. the ball). Otherwise, stick to the primary sense.
+
+### Handling unknown or irrelevant questions
+- If the question asks about something **not publicly known**, **not factual**, **ambiguous**, or **irrelevant**, respond **"n/a"**.
+- Use **"n/a"** only when a yes/no would be **misleading or nonsensical**.
+- Examples:
+  - "Does it have parents?" -> *n/a* (not meaningful for a place or object)
+  - "Is it alive?" -> valid for all entities (answer yes/no if possible)
+  - "Is it an animal?" -> *n/a* if the entity is a person, as this can be ambiguous.
+  - "Does it post on social media?" -> *n/a* unless the entity is a living or fictional character known for doing so.
+  - "Is the chair branded by a famous manufacturer?" -> *n/a* for a general object like "chair".
+
+### Handling ambiguous entities
+If the secret entity truly has multiple common meanings:
+- Answer **"yes"** if the question is true for **any** major, well-recognized meaning.
+- Answer **"no"** only if it's false for **all** reasonable interpretations.
+- Do **not** stretch to metaphors or loose associations.
+
+### Handling direct guesses
+If the player's question is a direct guess ("Is it ...?"):
+- Set **correct = true** if the guess is a close match in meaning to the secret entity (e.g., “Is it cell phone?” ≈ “Smartphone”).
+- Otherwise, set **correct = false**.
+"""
+
+
+SEARCH_PROMPT_TEMPLATE = """You are simulating a web search.
+
+Query: "{search_query}"
+
+Return a concise, factual summary (2-4 sentences) of the most relevant information you would find online.
+Avoid speculation, filler, or references to being an AI. Just give the facts."""
+
+
+class SearchToolInput(BaseModel):
+    """Schema for search tool input."""
+
+    search_query: str = Field(
+        ...,
+        description="A short, factual query describing what to search for (e.g., 'capital of France', 'biography of Ada Lovelace').",
+    )
+
+
+class SearchTool(BaseTool):
+    """A mock web search tool powered by an LLM.
+
+    This class mimics a real search engine call by using a lightweight LLM model.
+    It can later be replaced by a real API (like Serper or Bing) without changing its interface.
+    """
+
+    model: BaseLLM
+    name: str = "search"
+    description: str = (
+        "Search the web (mocked). Provide a concise, factual summary of what is known about the given topic."
+    )
+    num_called: int = 0
+
+    def _run(self, search_query: str) -> str:
+        """Perform a mocked search request using an LLM."""
+        self.num_called += 1
+        # Safety: ensure input is not too long or empty
+        search_query = search_query.strip()
+        if not search_query:
+            return "No query provided."
+        if len(search_query) > 500:
+            search_query = search_query[:500] + "..."
+
+        # Use a lightweight CrewAgent to simulate a factual web summary
+        agent = CrewAgent(
+            role="Search engine summarizer",
+            goal=(
+                "Given a user's search query, return a concise, factual summary "
+                "as if retrieved from reliable sources. "
+                "Act like a real search engine summarizer. "
+                "Never disclose that you are a simulator of a search engine."
+            ),
+            backstory=(
+                "You simulate a web search engine, producing factual, neutral summaries. "
+                "Do not fabricate sources or URLs. Focus on core, verifiable facts."
+            ),
+            llm=self.model,
+        )
+
+        prompt = SEARCH_PROMPT_TEMPLATE.format(search_query=search_query)
+        result = agent.kickoff(prompt)
+        return result.raw.strip()
+
+
+class Turn(BaseModel):
+    thinking: Optional[str]
+    question: str
+    response: Literal["yes", "no", "n/a"]
+
+
+class TwentyQuestionsGameState(BaseModel):
+    answer: str = ""
+    category: str = ""
+    correct: bool = False
+    num_tool_calls: int = 0
+    next_question: str = ""
+    thinking_before_next_question: Optional[str] = None
+    turn_index: int = 1
+    interactions: List[Turn] = Field(default_factory=list)
+
+    def render_history(self) -> str:
+        return "\n\n".join(
+            [
+                f"Question #{i}: {turn.question}\nResponse #{i}: {turn.response}"
+                for i, turn in enumerate(self.interactions, start=1)
+            ]
+        )
+
+
+class TwentyQuestionsFlow(Flow[TwentyQuestionsGameState]):
+
+    def __init__(self, *args: Any, **kwargs: Any):
+        self.player_llm = cast(CrewLLM, kwargs.pop("player_llm"))
+        self.answer_llm = cast(CrewLLM, kwargs.pop("answer_llm"))
+        self.search_tool = cast(Optional[SearchTool], kwargs.pop("search_tool", None))
+        self.categories = cast(List[str], kwargs.pop("categories"))
+        super().__init__(*args, **kwargs)
+
+    @start("next_turn")
+    def ask_question(self):
+        agent = CrewAgent(
+            role="Player in a game of 20 questions",
+            goal="Minimize uncertainty and identify the hidden entity within 20 yes/no questions.",
+            backstory="A focused reasoner who uses binary-partition questions to narrow down the remaining possibilities.",
+            tools=[self.search_tool] if self.search_tool else [],
+            llm=self.player_llm,
+            max_iter=10,
+        )
+        query = PLAYER_QUERY_TEMPLATE.format(
+            history=self.state.render_history(),
+            turn_index=self.state.turn_index,
+            remaining_turns=20 - self.state.turn_index + 1,
+            categories=", ".join(self.categories),
+        )
+
+        result = agent.kickoff(query)
+        raw = result.raw.strip()
+        console.print(f"[bold red]Player (Turn {self.state.turn_index}) raw:[/bold red] {raw}")
+
+        thinking = ""
+        question = raw  # fallback: if no match, send whole generation to answerer
+        m = re.match(r"^(?P<thinking>.+?)\s*My next question is:\s*(?P<q>.+?)\s*$", raw)
+        if m:
+            thinking = m.group("thinking").strip()
+            q = m.group("q").strip()
+            if q:
+                question = q
+        else:
+            console.print(
+                f"[bold red]Player (Turn {self.state.turn_index})[/bold red] [bold orange]No thinking match![/bold orange]"
+            )
+
+        if self.search_tool is not None:
+            self.state.num_tool_calls = self.search_tool.num_called
+
+        self.state.thinking_before_next_question = thinking
+        self.state.next_question = question
+        console.print(
+            f"[bold red]Player (Turn {self.state.turn_index}) question:[/bold red] {self.state.next_question}"
+        )
+
+    @listen(ask_question)
+    def answer_question(self):
+        query = ANSWERER_QUERY_TEMPLATE.format(answer=self.state.answer, next_question=self.state.next_question)
+        answerer_response = cast(AnswererResponse, self.answer_llm.call(query))  # type: ignore
+        console.print(f"[bold red]Answerer (Turn {self.state.turn_index}):[/bold red] {answerer_response}")
+        try:
+            turn = Turn(
+                thinking=self.state.thinking_before_next_question,
+                question=self.state.next_question,
+                response=answerer_response.yes_or_no,
+            )
+            correct = answerer_response.correct
+        except Exception as e:
+            console.print(f"[bold red]Answerer Response Format Error: {e}[/bold red]")
+            # Assuming n/a
+            turn = Turn(
+                thinking=self.state.thinking_before_next_question, question=self.state.next_question, response="n/a"
+            )
+            correct = False
+        self.state.interactions.append(turn)
+        self.state.next_question = ""  # Reset the next question
+        self.state.correct = correct
+
+    @router(answer_question)
+    def game_should_continue(self):
+        if self.state.correct:
+            console.print(f"[bold red]Correct! You win![/bold red]")
+            return "game_over"
+        elif self.state.turn_index >= 20:
+            console.print(
+                f"[bold red]You've asked 20 questions and still haven't guessed the entity. You lose![/bold red]"
+            )
+            return "game_over"
+        else:
+            self.state.turn_index += 1
+            console.print(f"[bold purple]Continue with turn #{self.state.turn_index}...[/bold purple]")
+            return "next_turn"
+
+    @listen("game_over")
+    def finish(self):
+        console.print("The flow has reached the finished state.")
+
+
+@contextmanager
+def prepare_llm(model_name: str, port: int):
+    service_client = tinker.ServiceClient()
+    sampling_client = service_client.create_sampling_client(base_model=model_name)
+    tokenizer = cast(PreTrainedTokenizer, AutoTokenizer.from_pretrained(model_name))  # type: ignore
+    tinker_llm = TinkerLLM(
+        model_name=model_name,
+        sampling_client=sampling_client,
+        renderer=get_renderer("qwen3", tokenizer),
+        tokenizer=tokenizer,
+    )
+    tinker_llm.rewrite_litellm_custom_providers()
+
+    store = InMemoryLightningStore()
+    model_list = tinker_llm.as_model_list()
+    model_list.extend(
+        [
+            {"model_name": "gpt-4.1", "litellm_params": {"model": "openai/gpt-4.1"}},
+            {"model_name": "gpt-5-mini", "litellm_params": {"model": "openai/gpt-5-mini"}},
+        ]
+    )
+    console.print("Model list:", model_list)
+
+    llm_proxy = LLMProxy(
+        port=port,
+        store=store,
+        model_list=model_list,
+        num_retries=2,
+        _add_return_token_ids=False,
+    )
+    llm_proxy.start()
+    yield {
+        "player_llm": CrewLLM(
+            model="openai/" + model_name, base_url=f"http://localhost:{port}/v1", api_key="dummy", timeout=60.0
+        ),
+        "answer_llm": CrewLLM(
+            model="openai/gpt-5-mini",
+            base_url=f"http://localhost:{port}/v1",
+            api_key="dummy",
+            reasoning_effort="low",
+            response_format=AnswererResponse,
+            timeout=60.0,
+        ),
+        # "search_tool": SearchTool(
+        #     model=CrewLLM(model="openai/gpt-4.1", base_url=f"http://localhost:4000/v1", api_key="dummy", timeout=60.0)
+        # ),
+    }
+
+    llm_proxy.stop()
+
+
+def main(model_name: str, output_file: str, port: int = 4000):
+    df = pd.read_csv("twenty_questions_nouns.csv")  # type: ignore
+    categories = cast(List[str], df["category"].unique().tolist())  # type: ignore
+
+    with prepare_llm(model_name, port) as llm_config:
+        for index, row in df.sample(n=len(df), random_state=42).iterrows():  # type: ignore
+            flow = TwentyQuestionsFlow(
+                **llm_config,
+                categories=categories,
+            )
+            try:
+                flow.kickoff(
+                    {
+                        "answer": row["answer"],
+                        "category": row["category"],
+                    }
+                )
+                result_json: dict[str, Any] = {"index": index, **flow.state.model_dump()}
+            except Exception as e:
+                result_json = {
+                    "index": index,
+                    "answer": row["answer"],
+                    "category": row["category"],
+                    "error": str(e),
+                    "exception": traceback.print_exc(),
+                }
+            with open(output_file, "a") as f:
+                f.write(json.dumps(result_json) + "\n")
+
+
+if __name__ == "__main__":
+    main(
+        model_name="Qwen/Qwen3-30B-A3B-Instruct-2507",
+        output_file="test-results/twenty_questions_qwen30b_notool_gpt5mini_20251026.jsonl",
+    )

examples/tinker/twenty_questions_235b.py

@@ -0,0 +1,7 @@
+from twenty_questions import main
+
+main(
+    model_name="Qwen/Qwen3-235B-A22B-Instruct-2507",
+    output_file="test-results/twenty_questions_qwen235b_notool_gpt5mini_20251026.jsonl",
+    port=4001,
+)

examples/tinker/twenty_questions_nouns.csv

@@ -0,0 +1,201 @@
+answer,category
+Taylor Swift,person
+Albert Einstein,person
+Cleopatra,person
+Sherlock Holmes,character
+Batman,character
+Harry Potter,character
+Elon Musk,person
+Oprah Winfrey,person
+Beyoncé,person
+Leonardo da Vinci,person
+Barack Obama,person
+Marilyn Monroe,person
+Steve Jobs,person
+Michael Jordan,person
+Mother Teresa,person
+Isaac Newton,person
+William Shakespeare,person
+Rihanna,person
+Gandhi,person
+Picasso,person
+Paris,place
+Tokyo,place
+Mount Everest,place
+New York,place
+Sydney Opera House,place
+The Great Wall,place
+Sahara Desert,place
+Amazon Rainforest,place
+Eiffel Tower,place
+Big Ben,place
+Taj Mahal,place
+Niagara Falls,place
+Rome,place
+London,place
+Disneyland,place
+The North Pole,place
+Hawaii,place
+Las Vegas,place
+Antarctica,place
+Hollywood,place
+Elephant,animal
+Tiger,animal
+Dolphin,animal
+Penguin,animal
+Giraffe,animal
+Eagle,animal
+Panda,animal
+Kangaroo,animal
+Wolf,animal
+Shark,animal
+Owl,animal
+Horse,animal
+Dog,animal
+Cat,animal
+Snake,animal
+Rabbit,animal
+Bear,animal
+Octopus,animal
+Fox,animal
+Whale,animal
+Chair,object
+Mirror,object
+Laptop,object
+Guitar,instrument
+Telescope,object
+Camera,object
+Umbrella,object
+Bicycle,object
+Lock,object
+Watch,object
+Book,object
+Television,object
+Candle,object
+Clock,object
+Backpack,object
+Airplane,object
+Piano,instrument
+Violin,instrument
+Harp,instrument
+Trombone,instrument
+Skateboard,object
+Scissors,object
+Smartphone,object
+Pizza,food
+Coffee,food
+Apple,food
+Chocolate,food
+Ice cream,food
+Hamburger,food
+Sushi,food
+Sandwich,food
+Salad,food
+Donut,food
+Watermelon,food
+Popcorn,food
+Spaghetti,food
+Cheese,food
+Bread,food
+Orange juice,food
+Steak,food
+Pancake,food
+Taco,food
+Banana,food
+Freedom,concept
+Love,concept
+Happiness,concept
+Time,concept
+Knowledge,concept
+Friendship,concept
+Justice,concept
+Peace,concept
+Power,concept
+Honesty,concept
+Art,concept
+Technology,concept
+Music,concept
+Science,concept
+War,concept
+Truth,concept
+Nature,concept
+Dream,concept
+Fear,concept
+Memory,concept
+Soccer,sport
+Basketball,sport
+Tennis,sport
+Swimming,sport
+Running,sport
+Golf,sport
+Boxing,sport
+Surfing,sport
+Skiing,sport
+Chess,sport
+Baseball,sport
+Yoga,sport
+Archery,sport
+Fishing,sport
+Skateboarding,sport
+Volleyball,sport
+Climbing,sport
+Dancing,sport
+Hiking,sport
+Billiards,sport
+Lightsaber,fiction
+Iron Man,character
+Millennium Falcon,fiction
+The Simpsons,fiction
+Jurassic Park,fiction
+SpongeBob,fiction
+The Godfather,fiction
+Frozen,fiction
+The Matrix,fiction
+Star Wars,fiction
+Avatar,fiction
+Game of Thrones,fiction
+Spider-Man,character
+Black Panther,character
+Hogwarts,fiction
+The Joker,character
+Pikachu,character
+Wonder Woman,character
+The Titanic,fiction
+Stranger Things,fiction
+Rainbow,nature
+Volcano,nature
+Moon,nature
+Sunflower,nature
+Diamond,object
+Lightning,nature
+Ocean,nature
+Cloud,nature
+Tornado,nature
+Robot,object
+Alien,creature
+Treasure,object
+Map,object
+Pirate,character
+Wizard,character
+Unicorn,creature
+Ghost,creature
+Dragon,creature
+Meteor,nature
+Wallet,object
+Headphones,object
+Microwave,object
+Toothbrush,object
+Blanket,object
+Pen,object
+Drone,object
+Car,object
+Air Conditioner,object
+Printer,object
+Lamp,object
+Refrigerator,object
+Washing machine,object
+Credit card,object
+Bed,object
+Mouse,object
+Remote,object
+Sunglasses,object