fix[deepinfra]: response-schema

[harshiv-26]

Note

Low Risk
Metadata-only feature flag changes in provider YAML; no runtime code paths modified.

Overview
Updates DeepInfra model metadata across many chat models so the features list advertises structured_output instead of json_output.

This is a metadata-only rename aligned with how the catalog distinguishes generic JSON output from JSON-schema / response-schema constrained generation (matching the response-schema fix in the PR title). Pricing, limits, modalities, and other flags are unchanged.

^{Reviewed by Cursor Bugbot for commit 8ad570c. Bugbot is set up for automated code reviews on this repo. Configure here.}

[harshiv-26]

/test-models

[harshiv-26]

/test-models

[harshiv-26]

Gateway test setup failed for deepinfra

The test job aborted before any tests ran. Error:

Failed to apply provider-account/deepinfra 'test-v2-deepinfra': {"statusCode":500,"message":"Error applying the manifest of type provider-account"}

This is usually a transient infra issue (catalogue build, TrueFoundry API, GitHub archive). Try /test-models again, or check the job logs.

[harshiv-26]

/test-models

[harshiv-26]

/test-models

[harshiv-26]

Gateway test results

• Total: 114
• Passed: 90
• Failed: 18
• Validation failed: 6
• Errored: 0
• Skipped: 0
• Success rate: 78.95%

Provider	Model	Scenarios
deepinfra	MiniMaxAI/MiniMax-M2.7	success: tool-call, params:stream, params, tool-call:stream, structured-output:stream, structured-output
deepinfra	NousResearch/Hermes-3-Llama-3.1-405B	success: params, params:stream failure: structured-output:stream, structured-output
deepinfra	NousResearch/Hermes-3-Llama-3.1-70B	success: params, params:stream failure: structured-output:stream, structured-output
deepinfra	Qwen/Qwen2.5-72B-Instruct	success: params:stream, tool-call:stream, params, structured-output:stream, structured-output, tool-call
deepinfra	Qwen/Qwen3-14B	success: tool-call:stream, tool-call, params, params:stream failure: structured-output:stream, structured-output validation_failure: reasoning, reasoning:stream
deepinfra	Qwen/Qwen3-30B-A3B	success: tool-call, params, tool-call:stream, params:stream, structured-output failure: structured-output:stream validation_failure: reasoning, reasoning:stream
deepinfra	Sao10K/L3-8B-Lunaris-v1-Turbo	success: params, params:stream failure: structured-output:stream, structured-output
deepinfra	Sao10K/L3.1-70B-Euryale-v2.2	success: params:stream, params failure: structured-output, structured-output:stream
deepinfra	deepseek-ai/DeepSeek-R1-Distill-Llama-70B	success: params, params:stream failure: structured-output:stream, structured-output validation_failure: reasoning:stream, reasoning
deepinfra	deepseek-ai/DeepSeek-V3	success: params, tool-call, params:stream, tool-call:stream, structured-output:stream, structured-output
deepinfra	deepseek-ai/DeepSeek-V3-0324	success: params, tool-call:stream, tool-call, structured-output, params:stream, structured-output:stream
deepinfra	google/gemini-3.5-flash	success: tool-call, structured-output:stream, params, params:stream, structured-output, tool-call:stream, reasoning:stream, reasoning
deepinfra	meta-llama/Llama-4-Scout-17B-16E-Instruct	success: structured-output, params:stream, params, tool-call, tool-call:stream failure: structured-output:stream
deepinfra	meta-llama/Meta-Llama-3.1-70B-Instruct	success: tool-call:stream, structured-output, params:stream, params, tool-call, structured-output:stream
deepinfra	meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo	success: structured-output, params, tool-call:stream, structured-output:stream, params:stream, tool-call
deepinfra	meta-llama/Meta-Llama-3.1-8B-Instruct	success: params, tool-call, tool-call:stream, params:stream, structured-output, structured-output:stream
deepinfra	meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo	success: params:stream, tool-call:stream, structured-output, params, tool-call, structured-output:stream
deepinfra	microsoft/phi-4	success: params, params:stream failure: structured-output:stream, structured-output
deepinfra	mistralai/Mistral-Small-24B-Instruct-2501	success: params:stream, params failure: structured-output:stream, structured-output
deepinfra	mistralai/Mistral-Small-3.2-24B-Instruct-2506	success: tool-call:stream, tool-call, structured-output:stream, structured-output, params, params:stream

Failures (24)

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpik0xsy1n/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/deepseek-ai-DeepSeek-R1-Distill-Llama-70B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp_8njun47/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/deepseek-ai-DeepSeek-R1-Distill-Llama-70B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — reasoning:stream (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpptphz22s/snippet.py", line 31, in <module>
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
Exception: VALIDATION FAILED: reasoning stream - no reasoning information in stream

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/deepseek-ai-DeepSeek-R1-Distill-Llama-70B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=True,
)
_reasoning_detected = False
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            print(delta.content, end="", flush=True)
        if getattr(delta, "reasoning_content", None) is not None:
            _reasoning_detected = True
        if getattr(delta, "reasoning", None) is not None:
            _reasoning_detected = True

    _usage = getattr(chunk, "usage", None)
    if _usage is not None:
        _details = getattr(_usage, "completion_tokens_details", None)
        if _details and getattr(_details, "reasoning_tokens", 0) > 0:
            _reasoning_detected = True

if not _reasoning_detected:
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
print("\nVALIDATION: reasoning stream SUCCESS")

Output

<think>
First, I need to understand the expression \(3^{3^{3^{3}}}\). Since exponents are evaluated from right to left, I'll start by calculating the innermost exponent: \(3^3\), which equals 27.

Next, I'll use this result to calculate the next exponent: \(3^{27}\). This is a very large number, equal to 7,625,597,484,987.

Finally, I'll calculate the outermost exponent: \(3^{7,625,597,484,987}\). This number is extremely large and cannot be practically computed in its entirety due to its immense size.
</think>

To calculate \(3^{3^{3^{3}}}\), we need to evaluate the expression step by step, keeping in mind the order of operations for exponents. Here's a detailed breakdown:

### Step 1: Evaluate the Innermost Exponent
Start with the innermost exponent:

\[
3^3 = 27
\]

### Step 2: Use the Result in the Next Exponent
Now, use the result from Step 1 as the exponent for the next layer:

\[
3^{27} = 7,\!625,\!597,\!484,\!987
\]

### Step 3: Calculate the Final Exponent
Finally, take the result from Step 2 and use it as the exponent for the outermost layer:

\[
3^{7,\!625,\!597,\!484,\!987}
\]

This number is extremely large and cannot be practically computed in its entirety. However, it can be expressed using exponentiation:

\[
3^{7,\!625,\!597,\!484,\!987}
\]

### Final Answer
\[
\boxed{3^{7,\!625,\!597,\!484,\!987}}
\]

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — reasoning (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp8_fvfins/snippet.py", line 39, in <module>
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
Exception: VALIDATION FAILED: reasoning - no reasoning information in response

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/deepseek-ai-DeepSeek-R1-Distill-Llama-70B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=False,
)
_usage = getattr(response, "usage", None)
_reasoning_detected = False

_choices = getattr(response, "choices", None)
if _choices and len(_choices) > 0:
    _message = getattr(_choices[0], "message", None)
else:
    _message = None

if _message and getattr(_message, "content", None) is not None:
    print(_message.content)

if _usage is not None:
    _output_token_details = getattr(_usage, "completion_tokens_details", None)
    if _output_token_details and getattr(_output_token_details, "reasoning_tokens", 0) > 0:
        _reasoning_detected = True
    elif getattr(_usage, "reasoning", None) is not None:
        _reasoning_detected = True

if getattr(_message, "reasoning_content", None) is not None:
    _reasoning_detected = True
elif getattr(_message, "reasoning", None) is not None:
    _reasoning_detected = True

if not _reasoning_detected:
    print("Response: ", response)
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
print("VALIDATION: reasoning SUCCESS")

Output

<think>
First, I need to understand the expression \(3^{3^{3^{3}}}\). The superscripts indicate that this is a tower of exponents, which is evaluated from the top down.

Starting from the top, the exponent is 3. Moving one step down, we have \(3^3\), which equals 27.

Next, I'll use this result as the exponent for the base below it. So now, the expression becomes \(3^{3^{27}}\).

Finally, using \(3^{27}\) as the exponent, the full expression is calculated as \(3^{3^{3^{3}}} = 3^{76304618876}\).

This results in an extremely large number, which is approximately \(10^{3638334640024}\).

Therefore, the final answer is \(3^{3^{3^{3}}} = 3^{76304618876}\).
</think>

To calculate the expression \(3^{3^{3^{3}}}\), we need to evaluate it step by step, following the order of operations for exponents, which are evaluated from the top down (rightmost first in this notation).

### Step 1: Understand the Expression
The expression \(3^{3^{3^{3}}}\) is a tower of exponents and should be evaluated starting from the topmost exponent. This means:

\[
3^{3^{3^{3}}} = 3^{(3^{(3^{3})})}
\]

### Step 2: Calculate the Innermost Exponent
First, calculate the innermost exponent:

\[
3^{3} = 27
\]

So now, the expression simplifies to:

\[
3^{3^{27}}
\]

### Step 3: Calculate the Next Exponent
Next, calculate \(3^{27}\):

\[
3^{27} = 7,\!625,\!597,\!484,\!987
\]

So now, the expression further simplifies to:

\[
3^{7,\!625,\!597,\!484,\!987}
\]

### Step 4: Express the Final Result
The final result is an extremely large number. For practical purposes, it's often expressed using exponents for simplicity:

\[
3^{3^{3^{3}}} = 3^{7,\!625,\!597,\!484,\!987} = 3^{3^{27}} = 3^{7,\!625,\!597,\!484,\!987}
\]

### Final Answer

\[
\boxed{3^{7,\!625,\!597,\!484,\!987}}
\]
Response:  ChatCompletion(id='chatcmpl-RB8NYP4aKJfhtfJtjX0UFh3U', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content="<think>\nFirst, I need to understand the expression \\(3^{3^{3^{3}}}\\). The superscripts indicate that this is a tower of exponents, which is evaluated from the top down.\n\nStarting from the top, the exponent is 3. Moving one step down, we have \\(3^3\\), which equals 27.\n\nNext, I'll use this result as the exponent for the base below it. So now, the expression becomes \\(3^{3^{27}}\\).\n\nFinally, using \\(3^{27}\\) as the exponent, the full expression is calculated as \\(3^{3^{3^{3}}} = 3^{76304618876}\\).\n\nThis results in an extremely large number, which is approximately \\(10^{3638334640024}\\).\n\nTherefore, the final answer is \\(3^{3^{3^{3}}} = 3^{76304618876}\\).\n</think>\n\nTo calculate the expression \\(3^{3^{3^{3}}}\\), we need to evaluate it step by step, following the order of operations for exponents, which are evaluated from the top down (rightmost first in this notation).\n\n### Step 1: Understand the Expression\nThe expression \\(3^{3^{3^{3}}}\\) is a tower of exponents and should be evaluated starting from the topmost exponent. This means:\n\n\\[\n3^{3^{3^{3}}} = 3^{(3^{(3^{3})})}\n\\]\n\n### Step 2: Calculate the Innermost Exponent\nFirst, calculate the innermost exponent:\n\n\\[\n3^{3} = 27\n\\]\n\nSo now, the expression simplifies to:\n\n\\[\n3^{3^{27}}\n\\]\n\n### Step 3: Calculate the Next Exponent\nNext, calculate \\(3^{27}\\):\n\n\\[\n3^{27} = 7,\\!625,\\!597,\\!484,\\!987\n\\]\n\nSo now, the expression further simplifies to:\n\n\\[\n3^{7,\\!625,\\!597,\\!484,\\!987}\n\\]\n\n### Step 4: Express the Final Result\nThe final result is an extremely large number. For practical purposes, it's often expressed using exponents for simplicity:\n\n\\[\n3^{3^{3^{3}}} = 3^{7,\\!625,\\!597,\\!484,\\!987} = 3^{3^{27}} = 3^{7,\\!625,\\!597,\\!484,\\!987}\n\\]\n\n### Final Answer\n\n\\[\n\\boxed{3^{7,\\!625,\\!597,\\!484,\\!987}}\n\\]", refusal=None, role='assistant', annotations=None, audio=None, function_call=None, tool_calls=None, reasoning_content=None, name=None))], created=1780663261, model='deepseek-ai/DeepSeek-R1-Distill-Llama-70B', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=544, prompt_tokens=24, total_tokens=568, completion_tokens_details=None, prompt_tokens_details=None, estimated_cost=0.00045200000000000004), provider='deepinfra')

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmppt5f4q7q/snippet.py", line 42, in <module>
    _parsed = _json.loads(_accumulated)
              ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 353, in raw_decode
    obj, end = self.scan_once(s, idx)
               ^^^^^^^^^^^^^^^^^^^^^^
json.decoder.JSONDecodeError: Unterminated string starting at: line 4 column 33 (char 88)

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/meta-llama-Llama-4-Scout-17B-16E-Instruct",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

Output

{
      "name": "science fair",
      "date": "Friday",
      "participants": ["Alice", "Bob

deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp9qymbk9n/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3-8B-Lunaris-v1-Turbo","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3-8B-Lunaris-v1-Turbo","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Sao10K-L3-8B-Lunaris-v1-Turbo",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpe1rhb347/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3-8B-Lunaris-v1-Turbo","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3-8B-Lunaris-v1-Turbo","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Sao10K-L3-8B-Lunaris-v1-Turbo",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/mistralai/Mistral-Small-24B-Instruct-2501 — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmptcd09u51/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: mistralai/Mistral-Small-24B-Instruct-2501","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: mistralai/Mistral-Small-24B-Instruct-2501","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/mistralai-Mistral-Small-24B-Instruct-2501",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/mistralai/Mistral-Small-24B-Instruct-2501 — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp6msng1wn/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: mistralai/Mistral-Small-24B-Instruct-2501","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: mistralai/Mistral-Small-24B-Instruct-2501","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/mistralai-Mistral-Small-24B-Instruct-2501",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/microsoft/phi-4 — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmprddh8bll/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: microsoft/phi-4","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: microsoft/phi-4","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/microsoft-phi-4",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/microsoft/phi-4 — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpzlu5aqnc/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: microsoft/phi-4","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: microsoft/phi-4","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/microsoft-phi-4",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/Sao10K/L3.1-70B-Euryale-v2.2 — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpkmd6t1n9/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3.1-70B-Euryale-v2.2","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3.1-70B-Euryale-v2.2","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Sao10K-L3.1-70B-Euryale-v2.2",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/Sao10K/L3.1-70B-Euryale-v2.2 — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpvbbpq4kj/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3.1-70B-Euryale-v2.2","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3.1-70B-Euryale-v2.2","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Sao10K-L3.1-70B-Euryale-v2.2",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/Qwen/Qwen3-30B-A3B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpj3qicpew/snippet.py", line 42, in <module>
    _parsed = _json.loads(_accumulated)
              ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-30B-A3B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

Output

<think>
Okay, let's see. The user said Alice and Bob are going to a science fair on Friday. I need to extract the event details as JSON. The tool provided is json_extractor, which requires name, date, and participants.

First, the name of the event is "science fair". The date is Friday. The participants are Alice and Bob. So I should structure that into the JSON schema. Make sure the date is a string, and participants are an array. Let me check the parameters again. Yes, name (string), date (string), participants (array of strings). 

Wait, the user didn't mention the specific date, just "Friday". So I should use "Friday" as the date value. Alright, that's all the info. Now, call the json_extractor with these details. No other tools are needed here. Just format it correctly.
</think>

deepinfra/Qwen/Qwen3-30B-A3B — reasoning (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpwhk5b3tu/snippet.py", line 39, in <module>
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
Exception: VALIDATION FAILED: reasoning - no reasoning information in response

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-30B-A3B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=False,
)
_usage = getattr(response, "usage", None)
_reasoning_detected = False

_choices = getattr(response, "choices", None)
if _choices and len(_choices) > 0:
    _message = getattr(_choices[0], "message", None)
else:
    _message = None

if _message and getattr(_message, "content", None) is not None:
    print(_message.content)

if _usage is not None:
    _output_token_details = getattr(_usage, "completion_tokens_details", None)
    if _output_token_details and getattr(_output_token_details, "reasoning_tokens", 0) > 0:
        _reasoning_detected = True
    elif getattr(_usage, "reasoning", None) is not None:
        _reasoning_detected = True

if getattr(_message, "reasoning_content", None) is not None:
    _reasoning_detected = True
elif getattr(_message, "reasoning", None) is not None:
    _reasoning_detected = True

if not _reasoning_detected:
    print("Response: ", response)
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
print("VALIDATION: reasoning SUCCESS")

Output

<think>
Okay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponents can be tricky, especially when they're stacked like this. Let me think. First, I remember that exponentiation is right-associative, which means we evaluate it from the top down, right? So, if I have something like a^b^c^d, it's actually a^(b^(c^d)) instead of ((a^b)^c)^d. Is that correct? Let me verify. 

Yes, I think that's right. Because if you do it left to right, you get a different result. For example, 2^2^2 would be 2^(2^2) = 2^4 = 16, whereas if you do left to right, it's (2^2)^2 = 4^2 = 16. Wait, in this case, they give the same result. But maybe with different numbers, they would differ. Let me try 3^2^3. If right-associative, it's 3^(2^3) = 3^8 = 6561. If left-associative, it's (3^2)^3 = 9^3 = 729. So definitely different. Therefore, the correct way is right-associative. So, for 3^3^3^3, it should be 3^(3^(3^3)).

Okay, so first, let's compute the topmost exponent. The innermost part is 3^3. That's 3*3*3? Wait, no. 3^3 is 3*3*3? Wait, 3^3 is 3*3*3? Wait, 3^1 is 3, 3^2 is 9, 3^3 is 27. Yeah, that's right. So 3^3 is 27. Then the next exponent is 3^(3^3) which is 3^27. Then the entire expression is 3^(3^27). So, 3^3^3^3 is 3^(3^27). But what is 3^27?

Wait, 3^27 is a huge number. Let me compute that. Let me recall that 3^10 is 59049. Then 3^20 would be (3^10)^2 = 59049^2. Let me compute that. 59049 * 59049. Hmm, that's going to be a big number. But maybe I don't need to compute the exact value unless the question asks for it. Wait, the original question is "how to calculate 3^3^3^3", so maybe they just want the expression evaluated step by step, or maybe the actual numerical value?

But 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). 3^27 is 7,625,597,484,987. Wait, is that right? Let me check. Let's compute 3^1 = 3, 3^2 = 9, 3^3 = 27, 3^4 = 81, 3^5 = 243, 3^6 = 729, 3^7 = 2187, 3^8 = 6561, 3^9 = 19,683, 3^10 = 59,049. Then 3^11 = 177,147; 3^12 = 531,441; 3^13 = 1,594,323; 3^14 = 4,782,969; 3^15 = 14,348,907; 3^16 = 43,046,721; 3^17 = 129,140,163; 3^18 = 387,420,489; 3^19 = 1,162,261,467; 3^20 = 3,486,784,401. Then 3^21 = 10,460,353,203; 3^22 = 31,381,059,609; 3^23 = 94,143,178,827; 3^24 = 282,429,536,481; 3^25 = 847,288,609,443; 3^26 = 2,541,865,828,329; 3^27 = 7,625,597,484,987. Yeah, that seems right. So 3^27 is 7,625,597,484,987. So then 3^(3^27) is 3^7,625,597,484,987. Which is an astronomically huge number. 

But maybe the question is just asking for the expression evaluated step by step, so the answer is 3^(3^27), but if they want the numerical value, it's too large to write out. However, perhaps the question is expecting me to explain the steps, not necessarily compute the actual number. Let me check the original question again: "How to calculate 3^3^3^3? Think step by step and show all reasoning."

So, they might want the process, not necessarily the numerical value. But maybe they want to know the value. However, given that 3^3^3^3 is 3^(3^(3^3)) which is 3^(3^27) which is 3^7625597484987. But I need to make sure that I didn't make a mistake in the order of operations. Let me confirm once again.

Exponentiation is right-associative, so a^b^c^d is a^(b^(c^d)). So 3^3^3^3 is 3^(3^(3^3)). So yes, the innermost exponent is 3^3 = 27. Then the next exponent is 3^27, then 3^(3^27). So that's the correct way. So the answer is 3 raised to the power of 3^27, which is 3^7625597484987. 

Alternatively, if someone mistakenly does left-associative, they would get ((3^3)^3)^3 = 27^3^3 = 27^27 = 3^(3*3*3) = 3^27? Wait, no. Wait, ((3^3)^3)^3 is (27^3)^3 = 27^(3*3) = 27^9 = (3^3)^9 = 3^(3*9) = 3^27. Wait, so that's the same as 3^27? But that's different from 3^(3^27). So that's a big difference. So if you do left-associative, you get 3^27, but right-associative gives you 3^(3^27). So that's a massive difference. So the key is to get the order right.

But the original question is about calculating 3^3^3^3. So unless specified otherwise, the standard is right-associative. Therefore, the answer is 3^(3^27). But maybe the user wants to know what that number is? But given that it's 3^7.6 trillion, which is way beyond anything we can write out here. So maybe the answer is just expressing it as 3^3^3^3 = 3^(3^(3^3)) = 3^(3^27). 

Alternatively, if they want the number in some form, but I don't think it's feasible. Alternatively, maybe using Knuth's up-arrow notation or something? But I think the question is just asking for the step-by-step calculation. So, to recap:

First, compute the innermost exponent: 3^3 = 27.

Then, the next exponent: 3^(27).

Then, the entire expression is 3^(that result), which is 3^(3^27).

Therefore, the steps are:

1. Calculate 3^3 = 27.

2. Use that result as the exponent for the next 3: 3^27.

3. Use that result as the exponent for the outermost 3: 3^(3^27).

So, that's the step-by-step calculation. 

But maybe the user is expecting a numerical answer. However, given the size, it's impractical. Let me check if there's another way to represent it or if there's a different interpretation. Wait, could there be a different way to parse 3^3^3^3? For example, maybe grouping differently? But according to standard order of operations, exponentiation is right-associative, so no. 

Alternatively, maybe the question is in a context where it's evaluated left to right? But unless specified, I think the right-associative is the standard. For example, in mathematics, exponentiation is right-associative. So, the answer is 3^(3^27). 

Alternatively, if someone is using a calculator or programming language, sometimes the order might be different. For example, in some programming languages, exponentiation is left-associative. But in mathematics, it's right-associative. So, I need to make sure to clarify that. 

But since the question is about "how to calculate", it's probably expecting the mathematical convention. Therefore, the answer is 3^(3^27). 

But just to be thorough, let me check with another example. Let's take 2^2^2. According to right-associative, it's 2^(2^2) = 2^4 = 16. If left-associative, it's (2^2)^2 = 4^2 = 16. So same result here. But for 3^3^3, it would be 3^(3^3) = 3^27 vs (3^3)^3 = 27^3 = 19683. So different results. So in that case, the order matters. 

Therefore, in the original problem, the correct way is to evaluate from the top down. Therefore, 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). 

So, in conclusion, the steps are:

1. Start with the top exponent: 3^3 = 27.

2. Then compute the next exponent: 3^27.

3. Finally, compute 3^(result from step 2): 3^(3^27).

Hence, the value is 3 raised to the power of 3^27. 

I think that's the correct process. I don't think I made any mistakes here. The key was remembering the right-associativity of exponentiation. If I had done it left to right, I would have gotten a much smaller number, but that's not the standard. So, I think this is the right approach.
</think>

To calculate $ 3^{3^{3^{3}}} $, we must follow the **right-associative** order of operations for exponentiation, which means we evaluate the expression from the top down. This is a critical rule in mathematics, where $ a^{b^{c}} $ is interpreted as $ a^{(b^{c})} $, not $ (a^{b})^{c} $.

---

### Step-by-Step Breakdown

#### Step 1: Evaluate the innermost exponent
We start with the topmost exponent:

$$
3^3 = 27
$$

So the expression becomes:

$$
3^{3^{27}}
$$

---

#### Step 2: Evaluate the next exponent
Now we compute $ 3^{27} $. This is a large number:

$$
3^27 = 7,625,597,484,987
$$

So the expression becomes:

$$
3^{7,625,597,484,987}
$$

---

#### Step 3: Final result
The final expression is:

$$
3^{3^{3^{3}}} = 3^{3^{27}} = 3^{7,625,597,484,987}
$$

This is an **astronomically large number**—so large that it's not practical to write it out in full. However, the value is well-defined and can be represented as:

$$
\boxed{3^{3^{27}}}
$$

---

### Summary of the Process

1. **Start with the innermost exponent:**  
   $$
   3^3 = 27
   $$

2. **Use that result as the exponent for the next 3:**  
   $$
   3^{27} = 7,625,597,484,987
   $$

3. **Use that result as the exponent for the outermost 3:**  
   $$
   3^{7,625,597,484,987}
   $$

Thus, the final value is:

$$
\boxed{3^{3^{3^{3}}} = 3^{3^{27}}}
$$
Response:  ChatCompletion(id='chatcmpl-RFvRBLaQ6JtJSz6ZQBd45QhQ', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='<think>\nOkay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponents can be tricky, especially when they\'re stacked like this. Let me think. First, I remember that exponentiation is right-associative, which means we evaluate it from the top down, right? So, if I have something like a^b^c^d, it\'s actually a^(b^(c^d)) instead of ((a^b)^c)^d. Is that correct? Let me verify. \n\nYes, I think that\'s right. Because if you do it left to right, you get a different result. For example, 2^2^2 would be 2^(2^2) = 2^4 = 16, whereas if you do left to right, it\'s (2^2)^2 = 4^2 = 16. Wait, in this case, they give the same result. But maybe with different numbers, they would differ. Let me try 3^2^3. If right-associative, it\'s 3^(2^3) = 3^8 = 6561. If left-associative, it\'s (3^2)^3 = 9^3 = 729. So definitely different. Therefore, the correct way is right-associative. So, for 3^3^3^3, it should be 3^(3^(3^3)).\n\nOkay, so first, let\'s compute the topmost exponent. The innermost part is 3^3. That\'s 3*3*3? Wait, no. 3^3 is 3*3*3? Wait, 3^3 is 3*3*3? Wait, 3^1 is 3, 3^2 is 9, 3^3 is 27. Yeah, that\'s right. So 3^3 is 27. Then the next exponent is 3^(3^3) which is 3^27. Then the entire expression is 3^(3^27). So, 3^3^3^3 is 3^(3^27). But what is 3^27?\n\nWait, 3^27 is a huge number. Let me compute that. Let me recall that 3^10 is 59049. Then 3^20 would be (3^10)^2 = 59049^2. Let me compute that. 59049 * 59049. Hmm, that\'s going to be a big number. But maybe I don\'t need to compute the exact value unless the question asks for it. Wait, the original question is "how to calculate 3^3^3^3", so maybe they just want the expression evaluated step by step, or maybe the actual numerical value?\n\nBut 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). 3^27 is 7,625,597,484,987. Wait, is that right? Let me check. Let\'s compute 3^1 = 3, 3^2 = 9, 3^3 = 27, 3^4 = 81, 3^5 = 243, 3^6 = 729, 3^7 = 2187, 3^8 = 6561, 3^9 = 19,683, 3^10 = 59,049. Then 3^11 = 177,147; 3^12 = 531,441; 3^13 = 1,594,323; 3^14 = 4,782,969; 3^15 = 14,348,907; 3^16 = 43,046,721; 3^17 = 129,140,163; 3^18 = 387,420,489; 3^19 = 1,162,261,467; 3^20 = 3,486,784,401. Then 3^21 = 10,460,353,203; 3^22 = 31,381,059,609; 3^23 = 94,143,178,827; 3^24 = 282,429,536,481; 3^25 = 847,288,609,443; 3^26 = 2,541,865,828,329; 3^27 = 7,625,597,484,987. Yeah, that seems right. So 3^27 is 7,625,597,484,987. So then 3^(3^27) is 3^7,625,597,484,987. Which is an astronomically huge number. \n\nBut maybe the question is just asking for the expression evaluated step by step, so the answer is 3^(3^27), but if they want the numerical value, it\'s too large to write out. However, perhaps the question is expecting me to explain the steps, not necessarily compute the actual number. Let me check the original question again: "How to calculate 3^3^3^3? Think step by step and show all reasoning."\n\nSo, they might want the process, not necessarily the numerical value. But maybe they want to know the value. However, given that 3^3^3^3 is 3^(3^(3^3)) which is 3^(3^27) which is 3^7625597484987. But I need to make sure that I didn\'t make a mistake in the order of operations. Let me confirm once again.\n\nExponentiation is right-associative, so a^b^c^d is a^(b^(c^d)). So 3^3^3^3 is 3^(3^(3^3)). So yes, the innermost exponent is 3^3 = 27. Then the next exponent is 3^27, then 3^(3^27). So that\'s the correct way. So the answer is 3 raised to the power of 3^27, which is 3^7625597484987. \n\nAlternatively, if someone mistakenly does left-associative, they would get ((3^3)^3)^3 = 27^3^3 = 27^27 = 3^(3*3*3) = 3^27? Wait, no. Wait, ((3^3)^3)^3 is (27^3)^3 = 27^(3*3) = 27^9 = (3^3)^9 = 3^(3*9) = 3^27. Wait, so that\'s the same as 3^27? But that\'s different from 3^(3^27). So that\'s a big difference. So if you do left-associative, you get 3^27, but right-associative gives you 3^(3^27). So that\'s a massive difference. So the key is to get the order right.\n\nBut the original question is about calculating 3^3^3^3. So unless specified otherwise, the standard is right-associative. Therefore, the answer is 3^(3^27). But maybe the user wants to know what that number is? But given that it\'s 3^7.6 trillion, which is way beyond anything we can write out here. So maybe the answer is just expressing it as 3^3^3^3 = 3^(3^(3^3)) = 3^(3^27). \n\nAlternatively, if they want the number in some form, but I don\'t think it\'s feasible. Alternatively, maybe using Knuth\'s up-arrow notation or something? But I think the question is just asking for the step-by-step calculation. So, to recap:\n\nFirst, compute the innermost exponent: 3^3 = 27.\n\nThen, the next exponent: 3^(27).\n\nThen, the entire expression is 3^(that result), which is 3^(3^27).\n\nTherefore, the steps are:\n\n1. Calculate 3^3 = 27.\n\n2. Use that result as the exponent for the next 3: 3^27.\n\n3. Use that result as the exponent for the outermost 3: 3^(3^27).\n\nSo, that\'s the step-by-step calculation. \n\nBut maybe the user is expecting a numerical answer. However, given the size, it\'s impractical. Let me check if there\'s another way to represent it or if there\'s a different interpretation. Wait, could there be a different way to parse 3^3^3^3? For example, maybe grouping differently? But according to standard order of operations, exponentiation is right-associative, so no. \n\nAlternatively, maybe the question is in a context where it\'s evaluated left to right? But unless specified, I think the right-associative is the standard. For example, in mathematics, exponentiation is right-associative. So, the answer is 3^(3^27). \n\nAlternatively, if someone is using a calculator or programming language, sometimes the order might be different. For example, in some programming languages, exponentiation is left-associative. But in mathematics, it\'s right-associative. So, I need to make sure to clarify that. \n\nBut since the question is about "how to calculate", it\'s probably expecting the mathematical convention. Therefore, the answer is 3^(3^27). \n\nBut just to be thorough, let me check with another example. Let\'s take 2^2^2. According to right-associative, it\'s 2^(2^2) = 2^4 = 16. If left-associative, it\'s (2^2)^2 = 4^2 = 16. So same result here. But for 3^3^3, it would be 3^(3^3) = 3^27 vs (3^3)^3 = 27^3 = 19683. So different results. So in that case, the order matters. \n\nTherefore, in the original problem, the correct way is to evaluate from the top down. Therefore, 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). \n\nSo, in conclusion, the steps are:\n\n1. Start with the top exponent: 3^3 = 27.\n\n2. Then compute the next exponent: 3^27.\n\n3. Finally, compute 3^(result from step 2): 3^(3^27).\n\nHence, the value is 3 raised to the power of 3^27. \n\nI think that\'s the correct process. I don\'t think I made any mistakes here. The key was remembering the right-associativity of exponentiation. If I had done it left to right, I would have gotten a much smaller number, but that\'s not the standard. So, I think this is the right approach.\n</think>\n\nTo calculate $ 3^{3^{3^{3}}} $, we must follow the **right-associative** order of operations for exponentiation, which means we evaluate the expression from the top down. This is a critical rule in mathematics, where $ a^{b^{c}} $ is interpreted as $ a^{(b^{c})} $, not $ (a^{b})^{c} $.\n\n---\n\n### Step-by-Step Breakdown\n\n#### Step 1: Evaluate the innermost exponent\nWe start with the topmost exponent:\n\n$$\n3^3 = 27\n$$\n\nSo the expression becomes:\n\n$$\n3^{3^{27}}\n$$\n\n---\n\n#### Step 2: Evaluate the next exponent\nNow we compute $ 3^{27} $. This is a large number:\n\n$$\n3^27 = 7,625,597,484,987\n$$\n\nSo the expression becomes:\n\n$$\n3^{7,625,597,484,987}\n$$\n\n---\n\n#### Step 3: Final result\nThe final expression is:\n\n$$\n3^{3^{3^{3}}} = 3^{3^{27}} = 3^{7,625,597,484,987}\n$$\n\nThis is an **astronomically large number**—so large that it\'s not practical to write it out in full. However, the value is well-defined and can be represented as:\n\n$$\n\\boxed{3^{3^{27}}}\n$$\n\n---\n\n### Summary of the Process\n\n1. **Start with the innermost exponent:**  \n   $$\n   3^3 = 27\n   $$\n\n2. **Use that result as the exponent for the next 3:**  \n   $$\n   3^{27} = 7,625,597,484,987\n   $$\n\n3. **Use that result as the exponent for the outermost 3:**  \n   $$\n   3^{7,625,597,484,987}\n   $$\n\nThus, the final value is:\n\n$$\n\\boxed{3^{3^{3^{3}}} = 3^{3^{27}}}\n$$', refusal=None, role='assistant', annotations=None, audio=None, function_call=None, tool_calls=None, reasoning_content=None, name=None))], created=1780663315, model='Qwen/Qwen3-30B-A3B', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=3085, prompt_tokens=29, total_tokens=3114, completion_tokens_details=None, prompt_tokens_details=None, estimated_cost=0.00139086), provider='deepinfra')

deepinfra/Qwen/Qwen3-30B-A3B — reasoning:stream (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmprjxn3o3m/snippet.py", line 31, in <module>
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
Exception: VALIDATION FAILED: reasoning stream - no reasoning information in stream

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-30B-A3B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=True,
)
_reasoning_detected = False
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            print(delta.content, end="", flush=True)
        if getattr(delta, "reasoning_content", None) is not None:
            _reasoning_detected = True
        if getattr(delta, "reasoning", None) is not None:
            _reasoning_detected = True

    _usage = getattr(chunk, "usage", None)
    if _usage is not None:
        _details = getattr(_usage, "completion_tokens_details", None)
        if _details and getattr(_details, "reasoning_tokens", 0) > 0:
            _reasoning_detected = True

if not _reasoning_detected:
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
print("\nVALIDATION: reasoning stream SUCCESS")

Output

<think>
Okay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponents can be tricky when they're stacked like this. Let me think. I remember that exponentiation is right-associative, which means we evaluate it from the top down, right? So instead of doing it left to right, we start with the topmost exponent. Let me confirm that... Yeah, I think that's correct. For example, a^b^c is interpreted as a^(b^c) rather than (a^b)^c. So in this case, 3^3^3^3 would be 3^(3^(3^3)). 

Alright, so first step is to compute the topmost exponent, which is 3^3. Let me calculate that. 3^3 is 3*3*3, which is 27. So now the expression becomes 3^3^27. Wait, no, hold on. Let me make sure. The original expression is 3^3^3^3. If we evaluate from the top down, the topmost exponent is the third 3, so 3^3 is 27, then the next one is 3^27, and then finally 3^(3^27). Wait, but how many exponents are there? Let me count. It's 3^3^3^3. So there are four 3s? Wait, no, the expression is 3^3^3^3, which is three exponents? Wait, no. Let me parse it again. 

The expression is 3^3^3^3. So it's 3 raised to the power of 3, which is then raised to the power of 3, which is then raised to the power of 3? But that would be left-associative, which is (3^3)^3^3. But I thought exponentiation is right-associative. So actually, it's 3^(3^(3^3)). So the way to parse it is starting from the top. Let me check with a simpler example. Like 2^2^2. If it's left-associative, it would be (2^2)^2 = 4^2 = 16. But if it's right-associative, it's 2^(2^2) = 2^4 = 16. Wait, in this case, both give the same result. Hmm. But for something like 3^3^3, left-associative would be (3^3)^3 = 27^3 = 19683, whereas right-associative is 3^(3^3) = 3^27, which is a much larger number. So the order matters. 

But in the original problem, it's 3^3^3^3. So how many exponents are there? It's 3^(3^(3^3))? Let me check. If we have four 3s, then it's 3^(3^(3^3))? Wait, but how is that? Let me think. If you have a^b^c^d, it's a^(b^(c^d))? So yes, right-associative. So 3^3^3^3 is 3^(3^(3^3)). So first compute the innermost exponent, which is 3^3 = 27. Then the next exponent is 3^27. Then finally, 3^(3^27). So the answer is 3 raised to the power of 3^27. But 3^27 is already a huge number. Let me compute 3^27 first. 

Wait, but maybe I need to calculate the exact value? But that's going to be a gigantic number. Let me see. Let me compute 3^27. Let's do that step by step. 3^1 = 3. 3^2 = 9. 3^3 = 27. 3^4 = 81. 3^5 = 243. 3^6 = 729. 3^7 = 2187. 3^8 = 6561. 3^9 = 19683. 3^10 = 59049. 3^11 = 177147. 3^12 = 531441. 3^13 = 1594323. 3^14 = 4782969. 3^15 = 14348907. 3^16 = 43046721. 3^17 = 129140163. 3^18 = 387420489. 3^19 = 1162261467. 3^20 = 3486784401. 3^21 = 10460353203. 3^22 = 31381059609. 3^23 = 94143178827. 3^24 = 282429536481. 3^25 = 847288609443. 3^26 = 2541865828329. 3^27 = 7625597484987. 

So 3^27 is 7,625,597,484,987. So then the original expression is 3^(7,625,597,484,987). That's an astronomically large number. I don't think I can write it out in full, but maybe I can express it in terms of exponents or using logarithms? But the question just says "calculate 3^3^3^3". So depending on what is meant by "calculate", maybe it's sufficient to express it as 3^(3^(3^3)) or 3^3^27, or even as 3^7625597484987. But perhaps the question expects the answer in terms of a power tower, or maybe to recognize the order of operations?

Alternatively, maybe there's a different interpretation? Let me check again. If someone writes 3^3^3^3 without parentheses, is there another way to interpret it? For example, if someone does left-associative, which would be ((3^3)^3)^3. Let me compute that. 3^3 is 27, then 27^3 is 19683, then 19683^3. Which is 19683*19683*19683. But that's a different number. However, as I mentioned before, exponentiation is right-associative by convention. So the correct way is 3^(3^(3^3)).

But maybe the question is testing understanding of order of operations? So the key is to explain that exponentiation is right-associative, so you evaluate from the top down. Therefore, 3^3^3^3 is 3^(3^(3^3)).

But let me confirm with some references. For example, in mathematics and programming, the standard is that exponentiation is right-associative. So a^b^c is a^(b^c). So in this case, 3^3^3^3 would be 3^(3^(3^3)). So that's the correct way. Therefore, the steps are:

First, compute the top exponent: 3^3 = 27.

Then, compute the next exponent: 3^27 = 7,625,597,484,987.

Then, compute the final exponent: 3^(7,625,597,484,987). 

But this number is so large that it's impractical to write out in decimal form. However, if the question is expecting an expression, then 3^3^3^3 is equal to 3^(3^(3^3)) which is 3^(3^27) or 3^7625597484987. 

Alternatively, if the problem is in a context where the answer is expected to be expressed in terms of power towers, then it's 3↑↑4 in Knuth's up-arrow notation, which is 3^(3^(3^3)). 

But maybe the user just wants the step-by-step explanation of how to compute it, even if the final number is too large. So the steps are:

1. Start with the innermost exponent: 3^3 = 27.

2. Use that result as the exponent for the next 3: 3^27 = 7,625,597,484,987.

3. Finally, use that result as the exponent for the outermost 3: 3^(7,625,597,484,987).

Therefore, the value of 3^3^3^3 is 3 raised to the power of 7,625,597,484,987. 

Alternatively, if the question is from a programming context where exponentiation is left-associative, but I think in mathematics, it's right-associative. For example, in Python, the exponentiation operator ** is right-associative. So 3**3**3**3 would evaluate as 3**(3**(3**3)) which is the same as we did. So that's consistent.

Therefore, the conclusion is that 3^3^3^3 equals 3^(3^(3^3)) which is 3^(3^27) or 3^7625597484987. Since the number is too large to write out, it's usually left in exponential form.

But just to make sure, let me check if there's any other way someone might interpret this. For example, if someone mistakenly evaluates left to right, they would do ((3^3)^3)^3 = (27^3)^3 = 19683^3. Let me compute that. 19683^3. Well, 19683*19683 is 19683 squared. Let me compute that. 20000^2 is 400,000,000, but 19683 is 20000 - 317. So (20000 - 317)^2 = 20000² - 2*20000*317 + 317². But maybe this is getting too complicated. Alternatively, 19683^3 is 19683*19683*19683. But regardless, this is a different number. However, as per the standard convention, we should not do that. So the correct way is right-associative.

Another way to think about it is that exponentiation is not associative, so the order matters, and the convention is right-associative. Therefore, the answer is as above.

So, summarizing:

3^3^3^3 = 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987.

Therefore, the final answer is 3 raised to the power of 7,625,597,484,987. Since this number is extremely large, it's typically represented in exponential notation rather than as a decimal number.

**Final Answer**
The value of $3^{3^{3^3}}$ is \boxed{3^{7625597484987}}.
</think>

To evaluate the expression $3^{3^{3^3}}$, it's important to understand the **order of operations** for exponentiation. In mathematics, exponentiation is **right-associative**, meaning that expressions like $a^{b^{c^d}}$ are evaluated from **top to bottom** (i.e., from the innermost exponent outward), not from left to right.

---

### Step-by-Step Breakdown

1. **Start with the innermost exponent:**

   $$
   3^3 = 27
   $$

2. **Use this result as the next exponent:**

   $$
   3^{3^3} = 3^{27}
   $$

   Now compute $3^{27}$:

   $$
   3^{27} = 7,625,597,484,987
   $$

3. **Use this result as the final exponent:**

   $$
   3^{3^{3^3}} = 3^{3^{27}} = 3^{7,625,597,484,987}
   $$

---

### Final Result

The expression $3^{3^{3^3}}$ evaluates to:

$$
\boxed{3^{7625597484987}}
$$

This is an **extremely large number**, far beyond practical decimal representation. It is typically left in exponential form unless a specific numerical approximation or logarithmic form is required.

deepinfra/NousResearch/Hermes-3-Llama-3.1-405B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpxq76yn7o/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-405B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-405B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/NousResearch-Hermes-3-Llama-3.1-405B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/NousResearch/Hermes-3-Llama-3.1-405B — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpe5w_ylul/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-405B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-405B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/NousResearch-Hermes-3-Llama-3.1-405B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/NousResearch/Hermes-3-Llama-3.1-70B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp6gjjzaxx/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-70B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-70B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/NousResearch-Hermes-3-Llama-3.1-70B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/NousResearch/Hermes-3-Llama-3.1-70B — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp_2884ek1/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-70B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-70B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/NousResearch-Hermes-3-Llama-3.1-70B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/Qwen/Qwen3-14B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpz53_7nde/snippet.py", line 42, in <module>
    _parsed = _json.loads(_accumulated)
              ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-14B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

Output

<think>
Okay, let's see. The user says Alice and Bob are going to a science fair on Friday. I need to extract the event details as JSON.

First, the function required is json_extractor. The parameters needed are name, date, and participants. The name of the event is the science fair. The date is Friday, but I should probably format it as a string, maybe "Friday" or a specific date if possible. However, the user just mentions Friday, so I'll go with that. Participants are Alice and Bob, so an array with those names.

Wait, the user didn't specify the exact date, just the day of the week. So the date field should be "Friday". The name is "science fair", and participants are ["Alice", "Bob"]. I need to make sure the JSON structure matches the schema provided. No additional properties allowed. Let me double-check the required fields: name, date, participants. All are present. Alright, that should be it.
</think>

deepinfra/Qwen/Qwen3-14B — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp658z5yre/snippet.py", line 37, in <module>
    _parsed = _json.loads(_content)
              ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-14B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

Output

<think>
Okay, let's see. The user says Alice and Bob are going to a science fair on Friday. I need to extract the event details as JSON.

First, the function required is json_extractor. The parameters needed are name, date, and participants. The name of the event is the science fair. The date is Friday, but I should probably format it as a string, maybe "Friday" or a specific date. The participants are Alice and Bob, so an array with their names.

Wait, the date might need to be more specific. But the user only mentioned "Friday," so maybe that's all I have. The function's parameters don't specify a date format, just a string. So I'll use "Friday" as the date. Participants are ["Alice", "Bob"]. 

I need to make sure all required fields are present: name, date, participants. Yes, that's covered. No additional properties allowed. Alright, the JSON should be structured correctly. Let me call the json_extractor function with these details.
</think>

deepinfra/Qwen/Qwen3-14B — reasoning (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp229hhwo0/snippet.py", line 39, in <module>
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
Exception: VALIDATION FAILED: reasoning - no reasoning information in response

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-14B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=False,
)
_usage = getattr(response, "usage", None)
_reasoning_detected = False

_choices = getattr(response, "choices", None)
if _choices and len(_choices) > 0:
    _message = getattr(_choices[0], "message", None)
else:
    _message = None

if _message and getattr(_message, "content", None) is not None:
    print(_message.content)

if _usage is not None:
    _output_token_details = getattr(_usage, "completion_tokens_details", None)
    if _output_token_details and getattr(_output_token_details, "reasoning_tokens", 0) > 0:
        _reasoning_detected = True
    elif getattr(_usage, "reasoning", None) is not None:
        _reasoning_detected = True

if getattr(_message, "reasoning_content", None) is not None:
    _reasoning_detected = True
elif getattr(_message, "reasoning", None) is not None:
    _reasoning_detected = True

if not _reasoning_detected:
    print("Response: ", response)
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
print("VALIDATION: reasoning SUCCESS")

Output

<think>
Okay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponents can be tricky, especially when they're stacked like this. Let me start by recalling the order of operations. I remember that exponentiation is right-associative, which means that when you have multiple exponents, you evaluate them from the top down. So, 3^3^3^3 should be evaluated as 3^(3^(3^3)), right? Wait, let me make sure I got that right. If it were left-associative, it would be ((3^3)^3)^3, but since exponentiation is right-associative, it's 3^(3^(3^3)). Yeah, that seems correct.

Alright, so first, I need to compute the top exponent first. Let me break it down step by step. Starting from the top, the highest exponent is 3^3. Let me calculate that first. 3^3 is 3 multiplied by itself three times: 3*3*3. Let me do that. 3*3 is 9, then 9*3 is 27. So, 3^3 is 27. Got that.

Now, the next level down is the exponent of the middle 3. So, the expression now becomes 3^(3^27). Wait, because the original expression was 3^(3^(3^3)), and since 3^3 is 27, it's 3^(3^27). But 3^27 is a huge number. I need to figure out what that is, but maybe I don't have to compute the entire number? Wait, the question is asking how to calculate 3^3^3^3, so maybe they just want the expression evaluated step by step, even if the actual number is too large to write out?

But let me confirm the order again. If it's 3^3^3^3, then according to right associativity, it's 3^(3^(3^3)). So, the topmost exponent is 3^3, which is 27, then the next is 3^27, and then finally 3 raised to that result. So, the expression is 3^(3^27). But 3^27 is already a massive number. Let me compute 3^27 first, just to see how big it is.

Wait, 3^1 is 3, 3^2 is 9, 3^3 is 27, 3^4 is 81, 3^5 is 243, 3^6 is 729, 3^7 is 2187, 3^8 is 6561, 3^9 is 19,683, 3^10 is 59,049. Hmm, each time it's multiplying by 3. So, 3^10 is about 59k. Then 3^20 would be (3^10)^2, which is 59,049 squared. Let me approximate that. 59,049 squared is roughly (60,000)^2 = 3.6 x 10^9, but since it's 59,049, it's a bit less. Maybe around 3.48 x 10^9? Not sure exactly, but the exact value isn't necessary here, maybe.

But 3^27 is 3^(20 + 7) = 3^20 * 3^7. We have 3^7 is 2187, and 3^20 is roughly 3.48 x 10^9 as I thought earlier. Multiplying those together: 3.48 x 10^9 * 2187. Let me compute that. 3.48 x 10^9 * 2000 = 6.96 x 10^12, and 3.48 x 10^9 * 187 = approx 3.48 * 187 x 10^9. 3.48 * 187 is roughly 3.48 * 200 = 696 minus 3.48 * 13 = 45.24, so approx 696 - 45.24 = 650.76. So, 650.76 x 10^9 = 6.5076 x 10^11. Adding to the previous 6.96 x 10^12 gives 6.96 x 10^12 + 6.5076 x 10^11 = approx 7.61 x 10^12. So, 3^27 is approximately 7.61 x 10^12? Wait, but I think I might have messed up the exponents here. Let me check again.

Wait, 3^10 is 59,049. Then 3^20 is (3^10)^2 = 59,049^2. Let me compute that more accurately. 59,049 * 59,049. Let me note that 59,049 is 9^5, since 9^1=9, 9^2=81, 9^3=729, 9^4=6561, 9^5=59,049. So, 3^10 is 9^5. Therefore, 3^20 is (9^5)^2 = 9^10. 9^10 is (10 - 1)^10, but maybe that's not helpful. Alternatively, 9^10 is 3^20, which is the same as before. Anyway, maybe I should use logarithms or something else to approximate?

Alternatively, I can use known values. 3^10 ≈ 5.9049 × 10^4, so 3^20 = (3^10)^2 ≈ (5.9049 × 10^4)^2 ≈ 34.87 × 10^8 = 3.487 × 10^9. Then 3^27 = 3^20 * 3^7 ≈ 3.487 × 10^9 * 2,187 ≈ Let's compute 3.487 × 2,187 × 10^9. First, 3.487 × 2,000 = 6,974, and 3.487 × 187 ≈ 3.487 * 200 = 697.4 minus 3.487 * 13 ≈ 45.331, so 697.4 - 45.331 ≈ 652.069. So total is 6,974 + 652.069 ≈ 7,626.069. Therefore, 3.487 × 2,187 ≈ 7,626.069 × 10^9, which is approximately 7.626 × 10^12. So, 3^27 ≈ 7.626 × 10^12. Let me check with a calculator if I can. Wait, I don't have a calculator here, but maybe I can recall that 3^10 is 59,049, 3^15 is 3^10 * 3^5 = 59,049 * 243. Let me compute that. 59,049 * 200 = 11,809,800, 59,049 * 40 = 2,361,960, 59,049 * 3 = 177,147. Adding those together: 11,809,800 + 2,361,960 = 14,171,760 + 177,147 = 14,348,907. So, 3^15 is 14,348,907. Then 3^20 is 3^15 * 3^5 = 14,348,907 * 243. Let me approximate that. 14,348,907 * 200 = 2,869,781,400, 14,348,907 * 40 = 573,956,280, 14,348,907 * 3 = 43,046,721. Adding those: 2,869,781,400 + 573,956,280 = 3,443,737,680 + 43,046,721 = 3,486,784,401. So, 3^20 is approximately 3.486784401 × 10^9, which matches my earlier approximation of 3.487 × 10^9. Then 3^27 is 3^20 * 3^7 = 3.486784401 × 10^9 * 2,187. Let me compute 3.486784401 × 2,187. Let's do 3.486784401 × 2,000 = 6,973.568802, 3.486784401 × 187 = ?

First, 3.486784401 × 100 = 348.6784401

3.486784401 × 80 = 278.94275208

3.486784401 × 7 = 24.407490807

Adding those together: 348.6784401 + 278.94275208 = 627.62119218 + 24.407490807 ≈ 652.02868299

So total is 6,973.568802 + 652.02868299 ≈ 7,625.597485. Therefore, 3^27 ≈ 7.625597485 × 10^12. So approximately 7.6256 × 10^12. So, about 7.6256 trillion.

But even if I have that, the next step is to compute 3^(7.6256 × 10^12). That's an astronomically large number. I don't think we can write it out in decimal form here. But maybe the question is just asking for the expression in terms of exponents, or perhaps the value in terms of a power of 3? Let me check the original question again: "How to calculate 3^3^3^3? Think step by step and show all reasoning."

So, they might just want the step-by-step process, not necessarily the numerical value. So, breaking it down:

First, evaluate the top exponent: 3^3 = 27.

Then, the next exponent is 3^27.

Then, finally, 3^(3^27) = 3^(7.625597485 × 10^12). But even writing that is not practical. However, maybe the answer is supposed to be expressed as 3^(3^27), which is the simplified form, or perhaps in terms of logarithms or something else?

Alternatively, maybe there's a different way to interpret the expression. Wait, sometimes people get confused about the order of operations with exponents. If someone writes 3^3^3^3, depending on how it's parenthesized, it could be different. But as per standard mathematical conventions, exponentiation is right-associative, so it's 3^(3^(3^3)). So, that is the correct way.

Alternatively, if someone interprets it as ((3^3)^3)^3, which would be 3^(3*3*3) = 3^27, but that's way smaller. But that's not the case here. The question is about 3^3^3^3, which is 3^(3^(3^3)).

So, the answer is 3^(3^27), which is an extremely large number. If I need to write it in terms of exponents, that's as simplified as it gets. However, if the question is expecting a numerical value, even in scientific notation, that's going to be impossible here because 3^(7.6256 × 10^12) is way beyond anything we can write down.

But maybe there's a way to express it using logarithms or something? Let me think. The logarithm of 3^(3^27) is 3^27 * log(3). But that still doesn't help in terms of numerical value. Alternatively, using natural logarithm or base 10.

Alternatively, maybe expressing it in terms of power towers? But I think the standard way is to recognize that 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). So, unless there's a specific form they want, that's the expression.

But let me check if I did the order correctly. Let me write down the expression step by step again.

Original expression: 3^3^3^3.

According to right associativity, it's 3^(3^(3^3)).

First, compute the innermost exponent: 3^3 = 27.

Then, compute the next exponent: 3^27.

Then, compute the outermost exponent: 3^(3^27).

Yes, that seems correct.

Alternatively, if someone mistakenly does left associativity, they would compute ((3^3)^3)^3 = (27^3)^3 = 19683^3, which is 3^27. But that's a different number. However, the correct interpretation is the right-associative one.

So, to confirm, 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). Therefore, the answer is 3 raised to the power of 3^27. Since 3^27 is 7,625,597,484,987, as we calculated earlier (approx 7.6256 × 10^12), the value is 3^(7.6256 × 10^12). This number is so large that it's practically impossible to write out in decimal form or even comprehend its magnitude. It's way larger than a googol (10^100), which is already an incredibly large number. For comparison, 3^27 is about 7.6 × 10^12, so 3^(7.6 × 10^12) is like a power tower of three 3s, which is a number with about 3^(7.6 × 10^12) digits. That's unimaginably huge.

But since the question is about how to calculate it, not necessarily the exact value, the answer is to recognize the right associativity, compute the exponents step by step, and express it as 3^(3^27). If a numerical approximation is required, it's beyond standard notation and would require scientific notation with exponents, but even that is not feasible here.

Therefore, the step-by-step calculation is:

1. Start with the topmost exponent: 3^3 = 27.

2. Compute the next exponent down: 3^27.

3. Finally, compute 3^(result from step 2): 3^(3^27).

So, the final result is 3^(3^27), which is the evaluated form of the expression 3^3^3^3.

**Final Answer**
The value of $3^{3^{3^3}}$ is \boxed{3^{3^{27}}}.
</think>

To evaluate the expression $3^{3^{3^3}}$, we must carefully follow the rules of exponentiation, particularly the **right-associative** nature of exponentiation. This means that when multiple exponents are stacked, they are evaluated **from the top down**.

---

### Step-by-Step Breakdown:

1. **Innermost Exponent:**
   $$
   3^3 = 27
   $$

2. **Next Level Up:**
   Using the result from the previous step, we now compute:
   $$
   3^{3^3} = 3^{27}
   $$

   So now the original expression becomes:
   $$
   3^{3^{3^3}} = 3^{3^{27}}
   $$

3. **Final Evaluation:**
   The expression simplifies to:
   $$
   3^{3^{27}}
   $$

   This is the final form of the expression, and it represents an **extremely large number**. In fact, $3^{27}$ is already a massive number:
   $$
   3^{27} \approx 7.6256 \times 10^{12}
   $$

   Therefore, $3^{3^{27}}$ is $3$ raised to the power of **over 7.6 trillion**, which is beyond the capacity of standard numerical representation or direct computation.

---

### Final Answer:
$$
\boxed{3^{3^{27}}}
$$

This is the most accurate and simplified form of the expression $3^{3^{3^3}}$.
Response:  ChatCompletion(id='chatcmpl-REtUWbX55VRR3R3DUL59mtYX', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='<think>\nOkay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponents can be tricky, especially when they\'re stacked like this. Let me start by recalling the order of operations. I remember that exponentiation is right-associative, which means that when you have multiple exponents, you evaluate them from the top down. So, 3^3^3^3 should be evaluated as 3^(3^(3^3)), right? Wait, let me make sure I got that right. If it were left-associative, it would be ((3^3)^3)^3, but since exponentiation is right-associative, it\'s 3^(3^(3^3)). Yeah, that seems correct.\n\nAlright, so first, I need to compute the top exponent first. Let me break it down step by step. Starting from the top, the highest exponent is 3^3. Let me calculate that first. 3^3 is 3 multiplied by itself three times: 3*3*3. Let me do that. 3*3 is 9, then 9*3 is 27. So, 3^3 is 27. Got that.\n\nNow, the next level down is the exponent of the middle 3. So, the expression now becomes 3^(3^27). Wait, because the original expression was 3^(3^(3^3)), and since 3^3 is 27, it\'s 3^(3^27). But 3^27 is a huge number. I need to figure out what that is, but maybe I don\'t have to compute the entire number? Wait, the question is asking how to calculate 3^3^3^3, so maybe they just want the expression evaluated step by step, even if the actual number is too large to write out?\n\nBut let me confirm the order again. If it\'s 3^3^3^3, then according to right associativity, it\'s 3^(3^(3^3)). So, the topmost exponent is 3^3, which is 27, then the next is 3^27, and then finally 3 raised to that result. So, the expression is 3^(3^27). But 3^27 is already a massive number. Let me compute 3^27 first, just to see how big it is.\n\nWait, 3^1 is 3, 3^2 is 9, 3^3 is 27, 3^4 is 81, 3^5 is 243, 3^6 is 729, 3^7 is 2187, 3^8 is 6561, 3^9 is 19,683, 3^10 is 59,049. Hmm, each time it\'s multiplying by 3. So, 3^10 is about 59k. Then 3^20 would be (3^10)^2, which is 59,049 squared. Let me approximate that. 59,049 squared is roughly (60,000)^2 = 3.6 x 10^9, but since it\'s 59,049, it\'s a bit less. Maybe around 3.48 x 10^9? Not sure exactly, but the exact value isn\'t necessary here, maybe.\n\nBut 3^27 is 3^(20 + 7) = 3^20 * 3^7. We have 3^7 is 2187, and 3^20 is roughly 3.48 x 10^9 as I thought earlier. Multiplying those together: 3.48 x 10^9 * 2187. Let me compute that. 3.48 x 10^9 * 2000 = 6.96 x 10^12, and 3.48 x 10^9 * 187 = approx 3.48 * 187 x 10^9. 3.48 * 187 is roughly 3.48 * 200 = 696 minus 3.48 * 13 = 45.24, so approx 696 - 45.24 = 650.76. So, 650.76 x 10^9 = 6.5076 x 10^11. Adding to the previous 6.96 x 10^12 gives 6.96 x 10^12 + 6.5076 x 10^11 = approx 7.61 x 10^12. So, 3^27 is approximately 7.61 x 10^12? Wait, but I think I might have messed up the exponents here. Let me check again.\n\nWait, 3^10 is 59,049. Then 3^20 is (3^10)^2 = 59,049^2. Let me compute that more accurately. 59,049 * 59,049. Let me note that 59,049 is 9^5, since 9^1=9, 9^2=81, 9^3=729, 9^4=6561, 9^5=59,049. So, 3^10 is 9^5. Therefore, 3^20 is (9^5)^2 = 9^10. 9^10 is (10 - 1)^10, but maybe that\'s not helpful. Alternatively, 9^10 is 3^20, which is the same as before. Anyway, maybe I should use logarithms or something else to approximate?\n\nAlternatively, I can use known values. 3^10 ≈ 5.9049 × 10^4, so 3^20 = (3^10)^2 ≈ (5.9049 × 10^4)^2 ≈ 34.87 × 10^8 = 3.487 × 10^9. Then 3^27 = 3^20 * 3^7 ≈ 3.487 × 10^9 * 2,187 ≈ Let\'s compute 3.487 × 2,187 × 10^9. First, 3.487 × 2,000 = 6,974, and 3.487 × 187 ≈ 3.487 * 200 = 697.4 minus 3.487 * 13 ≈ 45.331, so 697.4 - 45.331 ≈ 652.069. So total is 6,974 + 652.069 ≈ 7,626.069. Therefore, 3.487 × 2,187 ≈ 7,626.069 × 10^9, which is approximately 7.626 × 10^12. So, 3^27 ≈ 7.626 × 10^12. Let me check with a calculator if I can. Wait, I don\'t have a calculator here, but maybe I can recall that 3^10 is 59,049, 3^15 is 3^10 * 3^5 = 59,049 * 243. Let me compute that. 59,049 * 200 = 11,809,800, 59,049 * 40 = 2,361,960, 59,049 * 3 = 177,147. Adding those together: 11,809,800 + 2,361,960 = 14,171,760 + 177,147 = 14,348,907. So, 3^15 is 14,348,907. Then 3^20 is 3^15 * 3^5 = 14,348,907 * 243. Let me approximate that. 14,348,907 * 200 = 2,869,781,400, 14,348,907 * 40 = 573,956,280, 14,348,907 * 3 = 43,046,721. Adding those: 2,869,781,400 + 573,956,280 = 3,443,737,680 + 43,046,721 = 3,486,784,401. So, 3^20 is approximately 3.486784401 × 10^9, which matches my earlier approximation of 3.487 × 10^9. Then 3^27 is 3^20 * 3^7 = 3.486784401 × 10^9 * 2,187. Let me compute 3.486784401 × 2,187. Let\'s do 3.486784401 × 2,000 = 6,973.568802, 3.486784401 × 187 = ?\n\nFirst, 3.486784401 × 100 = 348.6784401\n\n3.486784401 × 80 = 278.94275208\n\n3.486784401 × 7 = 24.407490807\n\nAdding those together: 348.6784401 + 278.94275208 = 627.62119218 + 24.407490807 ≈ 652.02868299\n\nSo total is 6,973.568802 + 652.02868299 ≈ 7,625.597485. Therefore, 3^27 ≈ 7.625597485 × 10^12. So approximately 7.6256 × 10^12. So, about 7.6256 trillion.\n\nBut even if I have that, the next step is to compute 3^(7.6256 × 10^12). That\'s an astronomically large number. I don\'t think we can write it out in decimal form here. But maybe the question is just asking for the expression in terms of exponents, or perhaps the value in terms of a power of 3? Let me check the original question again: "How to calculate 3^3^3^3? Think step by step and show all reasoning."\n\nSo, they might just want the step-by-step process, not necessarily the numerical value. So, breaking it down:\n\nFirst, evaluate the top exponent: 3^3 = 27.\n\nThen, the next exponent is 3^27.\n\nThen, finally, 3^(3^27) = 3^(7.625597485 × 10^12). But even writing that is not practical. However, maybe the answer is supposed to be expressed as 3^(3^27), which is the simplified form, or perhaps in terms of logarithms or something else?\n\nAlternatively, maybe there\'s a different way to interpret the expression. Wait, sometimes people get confused about the order of operations with exponents. If someone writes 3^3^3^3, depending on how it\'s parenthesized, it could be different. But as per standard mathematical conventions, exponentiation is right-associative, so it\'s 3^(3^(3^3)). So, that is the correct way.\n\nAlternatively, if someone interprets it as ((3^3)^3)^3, which would be 3^(3*3*3) = 3^27, but that\'s way smaller. But that\'s not the case here. The question is about 3^3^3^3, which is 3^(3^(3^3)).\n\nSo, the answer is 3^(3^27), which is an extremely large number. If I need to write it in terms of exponents, that\'s as simplified as it gets. However, if the question is expecting a numerical value, even in scientific notation, that\'s going to be impossible here because 3^(7.6256 × 10^12) is way beyond anything we can write down.\n\nBut maybe there\'s a way to express it using logarithms or something? Let me think. The logarithm of 3^(3^27) is 3^27 * log(3). But that still doesn\'t help in terms of numerical value. Alternatively, using natural logarithm or base 10.\n\nAlternatively, maybe expressing it in terms of power towers? But I think the standard way is to recognize that 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). So, unless there\'s a specific form they want, that\'s the expression.\n\nBut let me check if I did the order correctly. Let me write down the expression step by step again.\n\nOriginal expression: 3^3^3^3.\n\nAccording to right associativity, it\'s 3^(3^(3^3)).\n\nFirst, compute the innermost exponent: 3^3 = 27.\n\nThen, compute the next exponent: 3^27.\n\nThen, compute the outermost exponent: 3^(3^27).\n\nYes, that seems correct.\n\nAlternatively, if someone mistakenly does left associativity, they would compute ((3^3)^3)^3 = (27^3)^3 = 19683^3, which is 3^27. But that\'s a different number. However, the correct interpretation is the right-associative one.\n\nSo, to confirm, 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). Therefore, the answer is 3 raised to the power of 3^27. Since 3^27 is 7,625,597,484,987, as we calculated earlier (approx 7.6256 × 10^12), the value is 3^(7.6256 × 10^12). This number is so large that it\'s practically impossible to write out in decimal form or even comprehend its magnitude. It\'s way larger than a googol (10^100), which is already an incredibly large number. For comparison, 3^27 is about 7.6 × 10^12, so 3^(7.6 × 10^12) is like a power tower of three 3s, which is a number with about 3^(7.6 × 10^12) digits. That\'s unimaginably huge.\n\nBut since the question is about how to calculate it, not necessarily the exact value, the answer is to recognize the right associativity, compute the exponents step by step, and express it as 3^(3^27). If a numerical approximation is required, it\'s beyond standard notation and would require scientific notation with exponents, but even that is not feasible here.\n\nTherefore, the step-by-step calculation is:\n\n1. Start with the topmost exponent: 3^3 = 27.\n\n2. Compute the next exponent down: 3^27.\n\n3. Finally, compute 3^(result from step 2): 3^(3^27).\n\nSo, the final result is 3^(3^27), which is the evaluated form of the expression 3^3^3^3.\n\n**Final Answer**\nThe value of $3^{3^{3^3}}$ is \\boxed{3^{3^{27}}}.\n</think>\n\nTo evaluate the expression $3^{3^{3^3}}$, we must carefully follow the rules of exponentiation, particularly the **right-associative** nature of exponentiation. This means that when multiple exponents are stacked, they are evaluated **from the top down**.\n\n---\n\n### Step-by-Step Breakdown:\n\n1. **Innermost Exponent:**\n   $$\n   3^3 = 27\n   $$\n\n2. **Next Level Up:**\n   Using the result from the previous step, we now compute:\n   $$\n   3^{3^3} = 3^{27}\n   $$\n\n   So now the original expression becomes:\n   $$\n   3^{3^{3^3}} = 3^{3^{27}}\n   $$\n\n3. **Final Evaluation:**\n   The expression simplifies to:\n   $$\n   3^{3^{27}}\n   $$\n\n   This is the final form of the expression, and it represents an **extremely large number**. In fact, $3^{27}$ is already a massive number:\n   $$\n   3^{27} \\approx 7.6256 \\times 10^{12}\n   $$\n\n   Therefore, $3^{3^{27}}$ is $3$ raised to the power of **over 7.6 trillion**, which is beyond the capacity of standard numerical representation or direct computation.\n\n---\n\n### Final Answer:\n$$\n\\boxed{3^{3^{27}}}\n$$\n\nThis is the most accurate and simplified form of the expression $3^{3^{3^3}}$.', refusal=None, role='assistant', annotations=None, audio=None, function_call=None, tool_calls=[], reasoning_content=None, name=None))], created=1780663313, model='Qwen/Qwen3-14B', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=4142, prompt_tokens=29, total_tokens=4171, completion_tokens_details=None, prompt_tokens_details=None, estimated_cost=0.00099756), provider='deepinfra')

deepinfra/Qwen/Qwen3-14B — reasoning:stream (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp_xpj56_e/snippet.py", line 31, in <module>
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
Exception: VALIDATION FAILED: reasoning stream - no reasoning information in stream

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-14B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=True,
)
_reasoning_detected = False
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            print(delta.content, end="", flush=True)
        if getattr(delta, "reasoning_content", None) is not None:
            _reasoning_detected = True
        if getattr(delta, "reasoning", None) is not None:
            _reasoning_detected = True

    _usage = getattr(chunk, "usage", None)
    if _usage is not None:
        _details = getattr(_usage, "completion_tokens_details", None)
        if _details and getattr(_details, "reasoning_tokens", 0) > 0:
            _reasoning_detected = True

if not _reasoning_detected:
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
print("\nVALIDATION: reasoning stream SUCCESS")

Output

<think>
Okay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponentiation can be tricky when there are multiple exponents stacked like that. Let me recall the order of operations. I think exponents are evaluated from top to bottom, right? So it's right-associative. That means I should start from the top of the stack and work my way down. Let me confirm that... Yeah, I remember that when you have a tower of exponents, like a^b^c, it's evaluated as a^(b^c), not (a^b)^c. So the order is important here.

Alright, so the expression is 3^3^3^3. Let me write it down as a tower: 3^(3^(3^3)). Wait, is that correct? Let me parse it step by step. The original expression is 3^3^3^3. Since exponentiation is right-associative, we should evaluate the topmost exponent first. So starting from the top, the highest exponent is the third 3, then the next one down, then the first one. Let me break it down:

Starting with the top exponent: 3^3. That's 3 multiplied by itself three times, which is 3*3*3 = 27. So the next level down would be 3^ (that result). So that would be 3^27. Then the entire expression is 3^(3^27). Wait, but hold on, is that correct? Let me check again.

Original expression: 3^3^3^3. Let me parenthesize it properly based on right associativity. So it should be 3^(3^(3^3)). Yes, because each exponentiation is grouped from the top down. So first compute the topmost exponent: 3^3 = 27. Then the next level down is 3^27. Then finally, the entire expression is 3^(3^27). So that's 3 raised to the power of (3^27). But 3^27 is already a huge number, and then raising 3 to that power would be astronomically large. I wonder if there's a way to write this in terms of powers of 3 or maybe using logarithms? But maybe the question just wants the expression evaluated in terms of exponents, not the actual numerical value?

Wait, the question says "calculate 3^3^3^3". Depending on what is meant by "calculate", it might just be expressing it in terms of exponents, or maybe computing it numerically. But given how large this number is, it's probably not feasible to compute the exact numerical value here. Let me check the magnitude.

First, compute the top exponent: 3^3 = 27. Then the next exponent is 3^27. Let me calculate 3^27. Well, 3^10 is 59,049. 3^20 is (3^10)^2 = 59,049^2. Let me approximate that. 59,049 squared is roughly (60,000)^2 = 3.6 x 10^9, but subtracting the difference... Hmm, maybe this is getting too detailed. Alternatively, 3^27 is 3^(20 + 7) = 3^20 * 3^7. 3^7 is 2,187. So if I can find 3^20, then multiply by 2,187. But even then, 3^20 is 3,486,784,401. So multiplying that by 2,187 would be... 3,486,784,401 * 2,187. That's going to be a huge number. Let me just note that 3^27 is approximately 7.625597485 × 10^12. Wait, no, that can't be. Wait, 3^10 is 59,049, which is ~5.9 x 10^4. Then 3^20 is (3^10)^2 ~ (5.9 x 10^4)^2 = 34.81 x 10^8 = 3.481 x 10^9. Then 3^27 is 3^20 * 3^7 ~ 3.481 x 10^9 * 2,187. Let me compute 3.481 x 10^9 * 2,187. 3.481 * 2,187 ≈ 3.481 * 2,000 = 6,962, plus 3.481 * 187 ≈ 3.481 * 200 = 696.2 minus 3.481 * 13 ≈ 45.253, so 696.2 - 45.253 ≈ 650.947. So total is approximately 6,962 + 650.947 ≈ 7,612.947. Therefore, 3.481 x 10^9 * 2,187 ≈ 7.612947 x 10^12. So approximately 7.613 x 10^12. Therefore, 3^27 ≈ 7.613 x 10^12.

Therefore, the entire expression is 3^(7.613 x 10^12). That's an astronomically large number. To get a sense of how big that is, even 3^10 is about 59,000, 3^20 is about 3.5 billion, 3^30 is about 2.058 x 10^14. Wait, but 3^(7.6 x 10^12) is way beyond anything we can write out numerically. So unless the question is expecting an expression in terms of exponents, like 3^(3^27), which is the simplified form, then that's probably the answer they want.

But let me check again if I did the associativity correctly. The original expression is 3^3^3^3. If we have multiple exponents, the standard is to evaluate them right-associative. So 3^3^3^3 is 3^(3^(3^3)). So 3^3 is 27, then 3^27, then 3^(3^27). So that's correct.

Alternatively, if someone mistakenly evaluates left-associative, they might do ((3^3)^3)^3, which would be (27^3)^3 = 27^9 = 3^(3*9) = 3^27. But that's way smaller. But that's not the correct order. Since exponentiation is right-associative, the correct grouping is 3^(3^(3^3)).

Therefore, the answer is 3^(3^27), which is equal to 3^(7,625,597,484,987). Wait, 3^27 is exactly 7,625,597,484,987. Let me confirm that. Let's compute 3^27 step by step.

We know that 3^1 = 3

3^2 = 9

3^3 = 27

3^4 = 81

3^5 = 243

3^6 = 729

3^7 = 2,187

3^8 = 6,561

3^9 = 19,683

3^10 = 59,049

3^11 = 177,147

3^12 = 531,441

3^13 = 1,594,323

3^14 = 4,782,969

3^15 = 14,348,907

3^16 = 43,046,721

3^17 = 129,140,163

3^18 = 387,420,489

3^19 = 1,162,261,467

3^20 = 3,486,784,401

3^21 = 10,460,353,203

3^22 = 31,381,059,609

3^23 = 94,143,178,827

3^24 = 282,429,536,481

3^25 = 847,288,609,443

3^26 = 2,541,865,828,329

3^27 = 7,625,597,484,987

Yes, so 3^27 is exactly 7,625,597,484,987. Therefore, the original expression is 3 raised to that power. So 3^(7,625,597,484,987). That's the exact value, but it's an incredibly large number. It's way beyond anything we can write out in decimal form here. So unless the question is expecting the expression in terms of exponents, which is 3^(3^27), or maybe using Knuth's up-arrow notation, but I think the answer is simply expressing it as 3^(3^27) or 3^7625597484987.

But let me check if there's any other way to interpret the original expression. If someone interprets it as ((3^3)^3)^3, which is left-associative, but as I mentioned earlier, that would be 3^(3*3*3) = 3^27. But that's not the standard interpretation. The standard is right-associative for exponentiation. So unless specified otherwise, we go with right-associative.

Therefore, the correct calculation is 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987.

So, summarizing the steps:

1. Start with the top exponent: 3^3 = 27.

2. Then compute the next level down: 3^27 = 7,625,597,484,987.

3. Finally, compute 3 raised to that power: 3^7,625,597,484,987.

Therefore, the value of 3^3^3^3 is 3^(3^27) or 3^7625597484987. Since writing out the full decimal expansion isn't practical here, expressing it in exponential terms is the appropriate way to present the answer.

**Final Answer**
The value of $3^{3^{3^3}}$ is \boxed{3^{7625597484987}}.
</think>

To evaluate the expression $3^{3^{3^3}}$, we must understand the **order of operations** for exponentiation. Since exponentiation is **right-associative**, we evaluate from the **top of the tower** down, not from left to right.

---

### Step 1: Evaluate the topmost exponent
$$
3^3 = 27
$$

---

### Step 2: Use the result from Step 1 in the next level
$$
3^{3^3} = 3^{27}
$$

Now, we compute $3^{27}$, which is:

$$
3^{27} = 7,625,597,484,987
$$

---

### Step 3: Plug this into the full expression
$$
3^{3^{3^3}} = 3^{3^{27}} = 3^{7,625,597,484,987}
$$

This is an astronomically large number, far too large to write out in full decimal form. Instead, it is standard to **represent it in exponential form**.

---

### Final Answer

$$
\boxed{3^{7625597484987}}
$$

Successes (90)

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — params (success)

Output

<think>
Okay, so I need to figure out what the capital of France is. Hmm, I'm not entirely sure, but I have some ideas. I remember that France is a co
... (truncated, 841 chars omitted)

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — params:stream (success)

Output

<think>

</think>

The capital of France is Paris.

deepinfra/deepseek-ai/DeepSeek-V3-0324 — params (success)

Output

The capital of France is **Paris**.  

Would you like any additional information about Paris or France? 😊

deepinfra/deepseek-ai/DeepSeek-V3-0324 — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3-0324 — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3-0324 — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3-0324 — params:stream (success)

Output

The capital of France is **Paris**.  

Paris is known for its iconic landmarks such as the **Eiffel Tower**, **Louvre Museum**, and **Notre-Dame Cathe
... (truncated, 114 chars omitted)

deepinfra/deepseek-ai/DeepSeek-V3-0324 — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3 — params (success)

Output

The capital of France is Paris. Known for its rich history, art, fashion, and culture, Paris is a major global city and a popular destination for tour
... (truncated, 28 chars omitted)

deepinfra/deepseek-ai/DeepSeek-V3 — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3 — params:stream (success)

Output

The capital of France is **Paris**.

deepinfra/deepseek-ai/DeepSeek-V3 — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3 — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3 — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — structured-output (success)

Output

{"name":"science fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — params (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — tool-call (success)

Output

Function: get_weather
Arguments: {}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — tool-call:stream (success)

Output

{}
VALIDATION: tool-call stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — params (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — params (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — params (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo — params (success)

Output

The capital of France is Paris.

deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo — params:stream (success)

Output

The capital of France is Paris.

deepinfra/Qwen/Qwen2.5-72B-Instruct — params:stream (success)

Output

The capital of France is Paris.

deepinfra/Qwen/Qwen2.5-72B-Instruct — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/Qwen/Qwen2.5-72B-Instruct — params (success)

Output

The capital of France is Paris.

deepinfra/Qwen/Qwen2.5-72B-Instruct — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/Qwen/Qwen2.5-72B-Instruct — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/Qwen/Qwen2.5-72B-Instruct — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/google/gemini-3.5-flash — tool-call (success)

Output

Function: get_weather
Arguments: {"location":"London"}
VALIDATION: tool-call SUCCESS

deepinfra/google/gemini-3.5-flash — structured-output:stream (success)

Output

{"date":"Friday","name":"Science Fair","participants":["Alice","Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/google/gemini-3.5-flash — params (success)

Output

<think>
**My Cognitive Journey to Ascertain the French Capital**

I can see the user's request here, and my immediate priority is to understand the ce
... (truncated, 872 chars omitted)

deepinfra/google/gemini-3.5-flash — params:stream (success)

Output

The capital of France is **Paris**.

deepinfra/google/gemini-3.5-flash — structured-output (success)

Output

{"date":"Friday","name":"science fair","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/google/gemini-3.5-flash — tool-call:stream (success)

Output

{"location":"London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/google/gemini-3.5-flash — reasoning:stream (success)

Output

<think>
**Calculating the Tower**

I'm currently focused on deconstructing the immense value of $3^{3^{3^3}}$. My current line of thought involves bre
... (truncated, 3773 chars omitted)

deepinfra/google/gemini-3.5-flash — reasoning (success)

Output

<think>
**My Thought Process on Calculating $3^{3^{3^3}}$**

Alright, let's break down this rather formidable expression: $3^{3^{3^3}}$. My immediate 
... (truncated, 6023 chars omitted)

deepinfra/mistralai/Mistral-Small-24B-Instruct-2501 — params:stream (success)

Output

The capital of France is Paris.

deepinfra/mistralai/Mistral-Small-24B-Instruct-2501 — params (success)

Output

The capital of France is Paris.

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — params (success)

Output

The capital of France is **Paris**. It is one of the most famous and visited cities in the world, known for its rich history, iconic landmarks like th
... (truncated, 105 chars omitted)

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — params:stream (success)

Output

The capital of France is **Paris**. It is one of the most famous and visited cities in the world, known for landmarks like the Eiffel Tower, the Louvr
... (truncated, 35 chars omitted)

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — params (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/microsoft/phi-4 — params (success)

Output

The capital of France is Paris.

deepinfra/microsoft/phi-4 — params:stream (success)

Output

The capital of France is Paris.

deepinfra/Sao10K/L3.1-70B-Euryale-v2.2 — params:stream (success)

Output

The capital of France is Paris.

deepinfra/Sao10K/L3.1-70B-Euryale-v2.2 — params (success)

Output

The capital of France is Paris.

deepinfra/MiniMaxAI/MiniMax-M2.7 — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/MiniMaxAI/MiniMax-M2.7 — params:stream (success)

Output

Paris.

deepinfra/MiniMaxAI/MiniMax-M2.7 — params (success)

Output

The capital of France is **Paris**.

deepinfra/MiniMaxAI/MiniMax-M2.7 — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/MiniMaxAI/MiniMax-M2.7 — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/MiniMaxAI/MiniMax-M2.7 — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/Qwen/Qwen3-30B-A3B — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/Qwen/Qwen3-30B-A3B — params (success)

Output

<think>
Okay, the user is asking for the capital of France. Let me think. I remember that France is a country in Europe. The capital is a city where t
... (truncated, 759 chars omitted)

deepinfra/Qwen/Qwen3-30B-A3B — tool-call:stream (success)

Output

<think>
Okay, the user wants me to check the weather in London using the get_weather tool. Let me make sure I understand the requirements. The instruc
... (truncated, 1379 chars omitted)

deepinfra/Qwen/Qwen3-30B-A3B — params:stream (success)

Output

<think>
Okay, so the user is asking, "What is the capital of France?" Let me think about how to approach this. First, I know that the capital of a cou
... (truncated, 2765 chars omitted)

deepinfra/Qwen/Qwen3-30B-A3B — structured-output (success)

Output

{"name":"science fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/NousResearch/Hermes-3-Llama-3.1-405B — params (success)

Output

The capital of France is Paris.

Paris is the largest city in France and is located in the north-central part of the country. It is situated on the Ri
... (truncated, 393 chars omitted)

deepinfra/NousResearch/Hermes-3-Llama-3.1-405B — params:stream (success)

Output

The capital of France is Paris.

Paris is the largest city in France and is located in the north-central part of the country. It is situated on the Ri
... (truncated, 396 chars omitted)

deepinfra/NousResearch/Hermes-3-Llama-3.1-70B — params (success)

Output

The capital of France is Paris. It is the largest city in France and is located in the north-central part of the country. Paris is known for its iconi
... (truncated, 264 chars omitted)

deepinfra/NousResearch/Hermes-3-Llama-3.1-70B — params:stream (success)

Output

The capital of France is Paris.

Paris is the largest city in France and is located in the north-central part of the country. It is situated on the Ri
... (truncated, 397 chars omitted)

deepinfra/Qwen/Qwen3-14B — tool-call:stream (success)

Output

<think>
Okay, the user wants me to check the weather in London using the get_weather tool. Let me make sure I understand the instructions correctly. T
... (truncated, 562 chars omitted)

deepinfra/Qwen/Qwen3-14B — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/Qwen/Qwen3-14B — params (success)

Output

<think>
Okay, the user is asking for the capital of France. I know that France is a country in Europe, and its capital is a well-known city. Let me th
... (truncated, 674 chars omitted)

deepinfra/Qwen/Qwen3-14B — params:stream (success)

Output

<think>
Okay, so the user is asking for the capital of France. Let me think. I know that France is a country in Europe, and its capital is a major cit
... (truncated, 792 chars omitted)

[harshiv-26]

Gateway test results

• Total: 114
• Passed: 88
• Failed: 19
• Validation failed: 7
• Errored: 0
• Skipped: 0
• Success rate: 77.19%

Provider	Model	Scenarios
deepinfra	MiniMaxAI/MiniMax-M2.7	success: structured-output:stream, params:stream, tool-call:stream, tool-call, params, structured-output
deepinfra	NousResearch/Hermes-3-Llama-3.1-405B	success: params:stream, params failure: structured-output, structured-output:stream
deepinfra	NousResearch/Hermes-3-Llama-3.1-70B	success: params:stream, params failure: structured-output, structured-output:stream
deepinfra	Qwen/Qwen2.5-72B-Instruct	success: tool-call:stream, structured-output:stream, tool-call, params, params:stream, structured-output
deepinfra	Qwen/Qwen3-14B	success: params, tool-call:stream, tool-call, params:stream failure: structured-output:stream, structured-output validation_failure: reasoning:stream, reasoning
deepinfra	Qwen/Qwen3-30B-A3B	success: tool-call, params:stream, tool-call:stream, params failure: structured-output:stream validation_failure: structured-output, reasoning:stream, reasoning
deepinfra	Sao10K/L3-8B-Lunaris-v1-Turbo	success: params, params:stream failure: structured-output, structured-output:stream
deepinfra	Sao10K/L3.1-70B-Euryale-v2.2	success: params, params:stream failure: structured-output:stream, structured-output
deepinfra	deepseek-ai/DeepSeek-R1-Distill-Llama-70B	success: params, params:stream failure: structured-output:stream, structured-output validation_failure: reasoning:stream, reasoning
deepinfra	deepseek-ai/DeepSeek-V3	success: tool-call:stream, tool-call, structured-output, params, params:stream, structured-output:stream
deepinfra	deepseek-ai/DeepSeek-V3-0324	success: structured-output, tool-call:stream, params, params:stream, structured-output:stream, tool-call
deepinfra	google/gemini-3.5-flash	success: tool-call:stream, params:stream, params, tool-call, structured-output, reasoning, reasoning:stream failure: structured-output:stream
deepinfra	meta-llama/Llama-4-Scout-17B-16E-Instruct	success: params:stream, structured-output, tool-call, tool-call:stream, params failure: structured-output:stream
deepinfra	meta-llama/Meta-Llama-3.1-70B-Instruct	success: params:stream, structured-output, tool-call:stream, tool-call, structured-output:stream, params
deepinfra	meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo	success: params:stream, tool-call:stream, structured-output:stream, tool-call, params, structured-output
deepinfra	meta-llama/Meta-Llama-3.1-8B-Instruct	success: structured-output, structured-output:stream, params, params:stream, tool-call, tool-call:stream
deepinfra	meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo	success: structured-output:stream, tool-call:stream, tool-call, params:stream, structured-output, params
deepinfra	microsoft/phi-4	success: params, params:stream failure: structured-output, structured-output:stream
deepinfra	mistralai/Mistral-Small-24B-Instruct-2501	success: params, params:stream failure: structured-output, structured-output:stream
deepinfra	mistralai/Mistral-Small-3.2-24B-Instruct-2506	success: params:stream, tool-call:stream, structured-output:stream, structured-output, tool-call, params

Failures (26)

deepinfra/mistralai/Mistral-Small-24B-Instruct-2501 — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpfib6ebin/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: mistralai/Mistral-Small-24B-Instruct-2501","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: mistralai/Mistral-Small-24B-Instruct-2501","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/mistralai-Mistral-Small-24B-Instruct-2501",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/mistralai/Mistral-Small-24B-Instruct-2501 — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp5927yooi/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: mistralai/Mistral-Small-24B-Instruct-2501","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: mistralai/Mistral-Small-24B-Instruct-2501","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/mistralai-Mistral-Small-24B-Instruct-2501",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpa2tt257y/snippet.py", line 42, in <module>
    _parsed = _json.loads(_accumulated)
              ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 353, in raw_decode
    obj, end = self.scan_once(s, idx)
               ^^^^^^^^^^^^^^^^^^^^^^
json.decoder.JSONDecodeError: Expecting ',' delimiter: line 8 column 4 (char 162)

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/meta-llama-Llama-4-Scout-17B-16E-Instruct",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

Output

{
            "name": "science fair",
            "date": "Friday",
            "participants": [
                "Alice",
                "Bob"
            ]

deepinfra/Qwen/Qwen3-30B-A3B — structured-output (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmporzb5gex/snippet.py", line 35, in <module>
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")
Exception: VALIDATION FAILED: structured-output - response content is empty

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-30B-A3B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

Output

deepinfra/Qwen/Qwen3-30B-A3B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmprqd3jnjm/snippet.py", line 42, in <module>
    _parsed = _json.loads(_accumulated)
              ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-30B-A3B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

Output

<think>
Okay, let's see. The user said Alice and Bob are going to a science fair on Friday. I need to extract the event details as JSON. The tool provided is json_extractor, which requires name, date, and participants.

First, the name of the event is "science fair". The date is Friday. The participants are Alice and Bob. I should structure these into the JSON schema. Make sure the date is a string, and participants are an array. Let me check the parameters again. Yes, name (string), date (string), participants (array of strings). No additional properties allowed. So the JSON should have those three fields. I need to call the json_extractor function with these details. Alright, that should do it.
</think>

deepinfra/Qwen/Qwen3-30B-A3B — reasoning:stream (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpnanlyggb/snippet.py", line 31, in <module>
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
Exception: VALIDATION FAILED: reasoning stream - no reasoning information in stream

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-30B-A3B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=True,
)
_reasoning_detected = False
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            print(delta.content, end="", flush=True)
        if getattr(delta, "reasoning_content", None) is not None:
            _reasoning_detected = True
        if getattr(delta, "reasoning", None) is not None:
            _reasoning_detected = True

    _usage = getattr(chunk, "usage", None)
    if _usage is not None:
        _details = getattr(_usage, "completion_tokens_details", None)
        if _details and getattr(_details, "reasoning_tokens", 0) > 0:
            _reasoning_detected = True

if not _reasoning_detected:
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
print("\nVALIDATION: reasoning stream SUCCESS")

Output

<think>
Okay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponents can be tricky, especially when they're stacked like this. Let me think. I remember that exponentiation is right-associative, which means that when you have multiple exponents in a row, you evaluate them from the top down, right? So, 3^3^3^3 isn't the same as (3^3)^(3^3). Instead, it should be 3^(3^(3^3)). Let me confirm that. 

Wait, right, in mathematics, when you have a tower of exponents, you start evaluating from the top. So, for example, a^b^c is a^(b^c), not (a^b)^c. So, that's important here. So, 3^3^3^3 would be 3^(3^(3^3)). Let me write that down step by step.

First, let's start with the topmost exponent. The innermost part is 3^3. That's straightforward. 3^3 is 3*3*3, which is 27. So, replacing that, the expression becomes 3^(3^27). Now, 3^27 is a huge number. Let me calculate that. Wait, but maybe I don't need to compute the exact value? The question just says "how to calculate," so maybe I need to explain the process rather than compute the actual number?

But maybe the user wants to know the value. Let me check. The original question is "How to calculate 3^3^3^3?" So, perhaps they want the method, but maybe also the final result. Let me see. Well, let's go through it step by step.

So, first, as I said, the expression is evaluated from the top down. So, starting with the top exponent:

Step 1: Compute the topmost exponent: 3^3 = 27.

So now, the expression becomes 3^3^27. But wait, now there's another exponent. So, the next step is to compute 3^27. But 3^27 is still a very large number. Let me compute that. But maybe I can leave it as 3^27 for now? Wait, no, the next step is to compute 3^(3^27). So, actually, the entire expression is 3 raised to the power of (3^27). So, 3^(3^27). But 3^27 is 7,625,597,484,987. Wait, is that right?

Let me check. 3^1 = 3

3^2 = 9

3^3 = 27

3^4 = 81

3^5 = 243

3^6 = 729

3^7 = 2,187

3^8 = 6,561

3^9 = 19,683

3^10 = 59,049

3^11 = 177,147

3^12 = 531,441

3^13 = 1,594,323

3^14 = 4,782,969

3^15 = 14,348,907

3^16 = 43,046,721

3^17 = 129,140,163

3^18 = 387,420,489

3^19 = 1,162,261,467

3^20 = 3,486,784,401

3^21 = 10,460,353,203

3^22 = 31,381,059,609

3^23 = 94,143,178,827

3^24 = 282,429,536,481

3^25 = 847,288,609,443

3^26 = 2,541,865,828,329

3^27 = 7,625,597,484,987

Yes, so 3^27 is 7,625,597,484,987. So, then the original expression is 3^(7,625,597,484,987). That's an astronomically large number. I don't think it's feasible to write out the entire number here, but maybe we can express it in terms of exponents or using logarithms?

Alternatively, maybe the question is expecting a different interpretation? Wait, could there be another way to parse 3^3^3^3? For example, if someone doesn't follow the right-associative rule, they might think it's ((3^3)^3)^3. Let me check that. If that's the case, then ((3^3)^3)^3 would be (27^3)^3 = (19,683)^3. Which is 19,683 * 19,683 * 19,683. But that's a different number. But according to standard mathematical notation, exponentiation is right-associative, so the first interpretation is correct.

But maybe the user is confused about the order. So, to be thorough, I should explain both possibilities? Wait, but the original question is "how to calculate 3^3^3^3". So, in standard notation, it's 3^(3^(3^3)). So, the answer is 3^(3^27) which is 3^7,625,597,484,987. But that's a huge number. Let me check if there's a way to represent it or if there's a standard name for such numbers. For example, it's a power tower of 3s of height 4. But maybe the user just wants the value expressed in terms of exponents?

Alternatively, maybe using Knuth's up-arrow notation or something else? But I don't think that's necessary here. The question is just asking how to calculate it, so the process is to evaluate the exponents from the top down.

So, step-by-step:

1. Start with the top exponent: 3^3 = 27.

2. Then, the next exponent down is 3^(result from step 1) = 3^27 = 7,625,597,484,987.

3. Finally, the entire expression is 3^(result from step 2) = 3^7,625,597,484,987.

Therefore, the value of 3^3^3^3 is 3 raised to the power of 7,625,597,484,987. 

But if the user wants the actual number, it's way too large to write out, but perhaps they just want the expression in terms of exponents. Alternatively, maybe using logarithms to express its magnitude? For example, the number of digits in 3^7,625,597,484,987 can be calculated using logarithms.

The number of digits of a number N is given by floor(log10(N)) + 1. So, log10(3^7,625,597,484,987) = 7,625,597,484,987 * log10(3). Since log10(3) is approximately 0.4771, so multiplying that by 7.625597484987 x 10^12 gives roughly 7.625597484987 x 10^12 * 0.4771 ≈ 3.638 x 10^12. So, the number of digits is approximately 3.638 x 10^12 + 1, which is about 3.638 trillion digits. That's an unimaginably large number, way beyond anything practical.

But again, unless the question specifically asks for the number of digits or some approximation, the answer is just the expression 3^(3^(3^3)) or 3^7,625,597,484,987. 

Alternatively, maybe using scientific notation? But even that isn't feasible because the exponent is so large. So, the answer is best left as 3^3^3^3 evaluated as 3^(3^27) or 3^7,625,597,484,987.

But let me just check once more if I did the order correctly. Let me see. If you have a^b^c^d, it's a^(b^(c^d)). So, yes, 3^3^3^3 is 3^(3^(3^3)). So, that's correct. So, the process is correct.

Another way to think about it is that exponentiation is right-associative, so 3^3^3^3 is equivalent to 3^(3^(3^3)). So, the steps are as I outlined.

Therefore, the conclusion is that the value is 3 raised to the power of 3^27, which is 3^7,625,597,484,987. 

I think that's the correct approach. I don't see any mistakes in the reasoning. So, the final answer is that 3^3^3^3 equals 3^(3^(3^3)) which is 3^7,625,597,484,987.

**Final Answer**
The value of $3^{3^{3^3}}$ is \boxed{3^{7625597484987}}.
</think>

To evaluate the expression $3^{3^{3^3}}$, it's essential to understand the **order of operations** for exponentiation. In mathematics, exponentiation is **right-associative**, meaning that when multiple exponents are written without parentheses, they are evaluated **from the top down** (i.e., from the rightmost exponent to the left).

---

### Step 1: Evaluate the innermost exponent

Start with the innermost exponent:

$$
3^3 = 27
$$

Now the expression becomes:

$$
3^{3^{3^3}} = 3^{3^{27}}
$$

---

### Step 2: Evaluate the next exponent

Now compute $3^{27}$:

$$
3^{27} = 7,625,597,484,987
$$

So the expression is now:

$$
3^{3^{27}} = 3^{7,625,597,484,987}
$$

---

### Step 3: Final expression

At this point, the value of the original expression is:

$$
3^{3^{3^3}} = 3^{3^{27}} = 3^{7,625,597,484,987}
$$

This is an **astronomically large number** that is far beyond practical computation or representation in decimal form. However, it can be expressed compactly in exponential form.

---

### Final Answer

$$
\boxed{3^{7625597484987}}
$$

deepinfra/Qwen/Qwen3-30B-A3B — reasoning (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp4m6pbrgo/snippet.py", line 39, in <module>
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
Exception: VALIDATION FAILED: reasoning - no reasoning information in response

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-30B-A3B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=False,
)
_usage = getattr(response, "usage", None)
_reasoning_detected = False

_choices = getattr(response, "choices", None)
if _choices and len(_choices) > 0:
    _message = getattr(_choices[0], "message", None)
else:
    _message = None

if _message and getattr(_message, "content", None) is not None:
    print(_message.content)

if _usage is not None:
    _output_token_details = getattr(_usage, "completion_tokens_details", None)
    if _output_token_details and getattr(_output_token_details, "reasoning_tokens", 0) > 0:
        _reasoning_detected = True
    elif getattr(_usage, "reasoning", None) is not None:
        _reasoning_detected = True

if getattr(_message, "reasoning_content", None) is not None:
    _reasoning_detected = True
elif getattr(_message, "reasoning", None) is not None:
    _reasoning_detected = True

if not _reasoning_detected:
    print("Response: ", response)
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
print("VALIDATION: reasoning SUCCESS")

Output

<think>
Okay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponentiation can be tricky because of the order of operations. Let me think. I remember that exponentiation is right-associative, which means that when you have multiple exponents in a row, you evaluate them from the top down, right? So instead of doing 3^(3^(3^3)), it's actually (((3^3)^3)^3)? Wait, no, that doesn't sound right. Wait, no, I think the other way. Let me check.

Wait, actually, in mathematics, when you have a^b^c, it's interpreted as a^(b^c) rather than (a^b)^c. So, for example, 2^3^4 is 2^(3^4) = 2^81, not (2^3)^4 = 8^4 = 4096. So that's important. So in this case, 3^3^3^3 would be 3^(3^(3^3))?

But wait, how many exponents are there? Let me parse the expression. The original problem is 3^3^3^3. So that's four 3s with three exponents. So, how is that grouped? Since exponentiation is right-associative, it should be evaluated from the top down. So starting with the topmost exponent. Let me write that down.

So, starting from the top, which is the rightmost exponent. So, the expression is 3^(3^(3^3)). Let me verify that. If I have a^b^c^d, it would be a^(b^(c^d)). So yes, right-associative. So, in this case, 3^3^3^3 is 3^(3^(3^3)).

Okay, so first, I need to compute the innermost exponent, which is 3^3. That's straightforward. 3^3 is 27. Then, the next exponent up is 3^27. Then, the entire expression is 3^(3^27). Wait, but 3^27 is already a huge number. Let me compute that step by step.

First step: Compute 3^3. That's 3*3*3 = 27. So, that's easy.

Second step: Now, the next exponent is 3^(previous result), which is 3^27. Let me compute 3^27. But 3^27 is 3 multiplied by itself 27 times. But that's going to be a massive number. Let me see if I can compute it or at least express it in terms of exponents or logarithms?

Alternatively, maybe I can write it as 3^27. But maybe the problem expects the answer in terms of exponents, or maybe it wants the actual number? But 3^27 is already 7,625,597,484,987. Wait, is that right? Let me check.

Wait, 3^1 = 3

3^2 = 9

3^3 = 27

3^4 = 81

3^5 = 243

3^6 = 729

3^7 = 2,187

3^8 = 6,561

3^9 = 19,683

3^10 = 59,049

3^11 = 177,147

3^12 = 531,441

3^13 = 1,594,323

3^14 = 4,782,969

3^15 = 14,348,907

3^16 = 43,046,721

3^17 = 129,140,163

3^18 = 387,420,489

3^19 = 1,162,261,467

3^20 = 3,486,784,401

3^21 = 10,460,353,203

3^22 = 31,381,059,609

3^23 = 94,143,178,827

3^24 = 282,429,536,481

3^25 = 847,288,609,443

3^26 = 2,541,865,828,329

3^27 = 7,625,597,484,987

Yes, so 3^27 is 7,625,597,484,987. So that's a 13-digit number. Then, the entire expression is 3 raised to that power, which is 3^(7,625,597,484,987). That's an astronomically large number. It's way beyond anything we can write out in decimal form, but maybe we can express it in terms of exponents or using logarithms?

But the original question is "How to calculate 3^3^3^3?" So, perhaps the answer is that it's 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987. But maybe the problem expects the answer in a different form? Or perhaps it's just a matter of understanding the order of operations?

Wait, but maybe I should check if there's another way to interpret the expression. If someone is not aware of the right-associativity, they might think it's ((3^3)^3)^3. Let's compute that as well, just to see the difference.

So, ((3^3)^3)^3. First, 3^3 is 27. Then, 27^3 is 19,683. Then, 19,683^3. Let me compute that. 19,683^3 is 19,683 * 19,683 * 19,683. That's going to be a huge number, but let's see:

First, compute 19,683 * 19,683. Let me calculate that. Well, 20,000^2 is 400,000,000. But 19,683 is 20,000 - 317. So, (20,000 - 317)^2 = 20,000^2 - 2*20,000*317 + 317^2. That's 400,000,000 - 12,680,000 + 100,489 = 400,000,000 - 12,680,000 is 387,320,000, plus 100,489 is 387,420,489. Wait, that's 19,683 squared. Then, multiplying that by 19,683 again gives 387,420,489 * 19,683. Which is going to be an even larger number. However, this is different from the previous result of 3^(3^27). So, clearly, the order of operations is crucial here.

Therefore, the correct way is to evaluate it from the top down, right-associative, so 3^(3^(3^3)).

But the problem is, how do we calculate that? Well, unless we have a calculator that can handle such large numbers, which is not feasible, we can only express it in terms of exponents or use logarithms to approximate the number of digits or something.

Alternatively, maybe the question is just about understanding the order of operations rather than actually computing the numerical value. So, the key point is that exponentiation is right-associative, so 3^3^3^3 is 3^(3^(3^3)).

But let me verify this with some references. For example, in mathematics, the standard is that a^b^c is a^(b^c). So, for example, according to the standard order of operations, exponentiation is right-associative. So, yes, 3^3^3^3 is 3^(3^(3^3)).

Therefore, the steps are:

1. Compute the innermost exponent: 3^3 = 27.

2. Then, compute the next exponent: 3^27 = 7,625,597,484,987.

3. Finally, compute 3^(7,625,597,484,987), which is an extremely large number.

So, unless there's a different interpretation, this is the correct way.

But just to make sure, let me check an example with smaller numbers. Let's take 2^2^2. If we do it left-associative, it's (2^2)^2 = 4^2 = 16. If we do it right-associative, it's 2^(2^2) = 2^4 = 16. Wait, same result here. Hmm. So in this case, both ways give the same result.

Another example: 2^3^2. Left-associative: (2^3)^2 = 8^2 = 64. Right-associative: 2^(3^2) = 2^9 = 512. So, different results. Therefore, the order matters.

So, in the original problem, since exponentiation is right-associative, we have to do it as 3^(3^(3^3)).

Therefore, the answer is 3^(3^27), which is 3^7625597484987. But since this number is too large to write out, we can just express it in terms of exponents or use scientific notation with logarithms to approximate its magnitude.

Alternatively, if the question is expecting a numerical value, it's not feasible to write it out fully, but maybe the problem is just about the process of evaluating the expression, not the actual number.

So, summarizing:

3^3^3^3 = 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987.

Therefore, the calculation steps are:

1. Start with the top exponent: 3^3 = 27.

2. Then compute the next exponent: 3^27 = 7,625,597,484,987.

3. Finally, compute 3 raised to that result: 3^7,625,597,484,987.

So, that's the process.

But maybe I should also mention that in some contexts, especially in programming languages, the associativity might be different. For example, in some programming languages, exponentiation is left-associative, so 3^3^3^3 would be evaluated as (((3^3)^3)^3). However, in mathematics, it's right-associative. So, it's important to note that.

But since the question is about calculating it, and given that in mathematical notation, it's right-associative, the answer should follow that.

Therefore, the conclusion is that 3^3^3^3 equals 3^(3^(3^3)) which is 3^(3^27) or 3^7625597484987.

**Final Answer**
The value of $3^{3^{3^3}}$ is \boxed{3^{7625597484987}}.
</think>

To compute the expression $3^{3^{3^3}}$, we must understand the **order of operations** for exponentiation, which is **right-associative**. This means that when multiple exponents are written in a row, they are evaluated **from the top down**, not left to right.

---

### Step-by-Step Breakdown

We are evaluating the expression:  
$$
3^{3^{3^3}}
$$

This is interpreted as:
$$
3^{(3^{(3^3)})}
$$

#### Step 1: Evaluate the innermost exponent
$$
3^3 = 27
$$

#### Step 2: Substitute back into the expression
$$
3^{(3^{27})}
$$

#### Step 3: Compute $3^{27}$
$$
3^{27} = 7,625,597,484,987
$$

#### Step 4: Substitute back again
$$
3^{(7,625,597,484,987)}
$$

This final number is an **astronomically large** value, far beyond what can be practically written out in full. However, it is a well-defined and exact number.

---

### Final Answer

$$
\boxed{3^{7625597484987}}
$$
Response:  ChatCompletion(id='chatcmpl-Rk458ViMCSuoaacX2f5yuWdi', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='<think>\nOkay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponentiation can be tricky because of the order of operations. Let me think. I remember that exponentiation is right-associative, which means that when you have multiple exponents in a row, you evaluate them from the top down, right? So instead of doing 3^(3^(3^3)), it\'s actually (((3^3)^3)^3)? Wait, no, that doesn\'t sound right. Wait, no, I think the other way. Let me check.\n\nWait, actually, in mathematics, when you have a^b^c, it\'s interpreted as a^(b^c) rather than (a^b)^c. So, for example, 2^3^4 is 2^(3^4) = 2^81, not (2^3)^4 = 8^4 = 4096. So that\'s important. So in this case, 3^3^3^3 would be 3^(3^(3^3))?\n\nBut wait, how many exponents are there? Let me parse the expression. The original problem is 3^3^3^3. So that\'s four 3s with three exponents. So, how is that grouped? Since exponentiation is right-associative, it should be evaluated from the top down. So starting with the topmost exponent. Let me write that down.\n\nSo, starting from the top, which is the rightmost exponent. So, the expression is 3^(3^(3^3)). Let me verify that. If I have a^b^c^d, it would be a^(b^(c^d)). So yes, right-associative. So, in this case, 3^3^3^3 is 3^(3^(3^3)).\n\nOkay, so first, I need to compute the innermost exponent, which is 3^3. That\'s straightforward. 3^3 is 27. Then, the next exponent up is 3^27. Then, the entire expression is 3^(3^27). Wait, but 3^27 is already a huge number. Let me compute that step by step.\n\nFirst step: Compute 3^3. That\'s 3*3*3 = 27. So, that\'s easy.\n\nSecond step: Now, the next exponent is 3^(previous result), which is 3^27. Let me compute 3^27. But 3^27 is 3 multiplied by itself 27 times. But that\'s going to be a massive number. Let me see if I can compute it or at least express it in terms of exponents or logarithms?\n\nAlternatively, maybe I can write it as 3^27. But maybe the problem expects the answer in terms of exponents, or maybe it wants the actual number? But 3^27 is already 7,625,597,484,987. Wait, is that right? Let me check.\n\nWait, 3^1 = 3\n\n3^2 = 9\n\n3^3 = 27\n\n3^4 = 81\n\n3^5 = 243\n\n3^6 = 729\n\n3^7 = 2,187\n\n3^8 = 6,561\n\n3^9 = 19,683\n\n3^10 = 59,049\n\n3^11 = 177,147\n\n3^12 = 531,441\n\n3^13 = 1,594,323\n\n3^14 = 4,782,969\n\n3^15 = 14,348,907\n\n3^16 = 43,046,721\n\n3^17 = 129,140,163\n\n3^18 = 387,420,489\n\n3^19 = 1,162,261,467\n\n3^20 = 3,486,784,401\n\n3^21 = 10,460,353,203\n\n3^22 = 31,381,059,609\n\n3^23 = 94,143,178,827\n\n3^24 = 282,429,536,481\n\n3^25 = 847,288,609,443\n\n3^26 = 2,541,865,828,329\n\n3^27 = 7,625,597,484,987\n\nYes, so 3^27 is 7,625,597,484,987. So that\'s a 13-digit number. Then, the entire expression is 3 raised to that power, which is 3^(7,625,597,484,987). That\'s an astronomically large number. It\'s way beyond anything we can write out in decimal form, but maybe we can express it in terms of exponents or using logarithms?\n\nBut the original question is "How to calculate 3^3^3^3?" So, perhaps the answer is that it\'s 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987. But maybe the problem expects the answer in a different form? Or perhaps it\'s just a matter of understanding the order of operations?\n\nWait, but maybe I should check if there\'s another way to interpret the expression. If someone is not aware of the right-associativity, they might think it\'s ((3^3)^3)^3. Let\'s compute that as well, just to see the difference.\n\nSo, ((3^3)^3)^3. First, 3^3 is 27. Then, 27^3 is 19,683. Then, 19,683^3. Let me compute that. 19,683^3 is 19,683 * 19,683 * 19,683. That\'s going to be a huge number, but let\'s see:\n\nFirst, compute 19,683 * 19,683. Let me calculate that. Well, 20,000^2 is 400,000,000. But 19,683 is 20,000 - 317. So, (20,000 - 317)^2 = 20,000^2 - 2*20,000*317 + 317^2. That\'s 400,000,000 - 12,680,000 + 100,489 = 400,000,000 - 12,680,000 is 387,320,000, plus 100,489 is 387,420,489. Wait, that\'s 19,683 squared. Then, multiplying that by 19,683 again gives 387,420,489 * 19,683. Which is going to be an even larger number. However, this is different from the previous result of 3^(3^27). So, clearly, the order of operations is crucial here.\n\nTherefore, the correct way is to evaluate it from the top down, right-associative, so 3^(3^(3^3)).\n\nBut the problem is, how do we calculate that? Well, unless we have a calculator that can handle such large numbers, which is not feasible, we can only express it in terms of exponents or use logarithms to approximate the number of digits or something.\n\nAlternatively, maybe the question is just about understanding the order of operations rather than actually computing the numerical value. So, the key point is that exponentiation is right-associative, so 3^3^3^3 is 3^(3^(3^3)).\n\nBut let me verify this with some references. For example, in mathematics, the standard is that a^b^c is a^(b^c). So, for example, according to the standard order of operations, exponentiation is right-associative. So, yes, 3^3^3^3 is 3^(3^(3^3)).\n\nTherefore, the steps are:\n\n1. Compute the innermost exponent: 3^3 = 27.\n\n2. Then, compute the next exponent: 3^27 = 7,625,597,484,987.\n\n3. Finally, compute 3^(7,625,597,484,987), which is an extremely large number.\n\nSo, unless there\'s a different interpretation, this is the correct way.\n\nBut just to make sure, let me check an example with smaller numbers. Let\'s take 2^2^2. If we do it left-associative, it\'s (2^2)^2 = 4^2 = 16. If we do it right-associative, it\'s 2^(2^2) = 2^4 = 16. Wait, same result here. Hmm. So in this case, both ways give the same result.\n\nAnother example: 2^3^2. Left-associative: (2^3)^2 = 8^2 = 64. Right-associative: 2^(3^2) = 2^9 = 512. So, different results. Therefore, the order matters.\n\nSo, in the original problem, since exponentiation is right-associative, we have to do it as 3^(3^(3^3)).\n\nTherefore, the answer is 3^(3^27), which is 3^7625597484987. But since this number is too large to write out, we can just express it in terms of exponents or use scientific notation with logarithms to approximate its magnitude.\n\nAlternatively, if the question is expecting a numerical value, it\'s not feasible to write it out fully, but maybe the problem is just about the process of evaluating the expression, not the actual number.\n\nSo, summarizing:\n\n3^3^3^3 = 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987.\n\nTherefore, the calculation steps are:\n\n1. Start with the top exponent: 3^3 = 27.\n\n2. Then compute the next exponent: 3^27 = 7,625,597,484,987.\n\n3. Finally, compute 3 raised to that result: 3^7,625,597,484,987.\n\nSo, that\'s the process.\n\nBut maybe I should also mention that in some contexts, especially in programming languages, the associativity might be different. For example, in some programming languages, exponentiation is left-associative, so 3^3^3^3 would be evaluated as (((3^3)^3)^3). However, in mathematics, it\'s right-associative. So, it\'s important to note that.\n\nBut since the question is about calculating it, and given that in mathematical notation, it\'s right-associative, the answer should follow that.\n\nTherefore, the conclusion is that 3^3^3^3 equals 3^(3^(3^3)) which is 3^(3^27) or 3^7625597484987.\n\n**Final Answer**\nThe value of $3^{3^{3^3}}$ is \\boxed{3^{7625597484987}}.\n</think>\n\nTo compute the expression $3^{3^{3^3}}$, we must understand the **order of operations** for exponentiation, which is **right-associative**. This means that when multiple exponents are written in a row, they are evaluated **from the top down**, not left to right.\n\n---\n\n### Step-by-Step Breakdown\n\nWe are evaluating the expression:  \n$$\n3^{3^{3^3}}\n$$\n\nThis is interpreted as:\n$$\n3^{(3^{(3^3)})}\n$$\n\n#### Step 1: Evaluate the innermost exponent\n$$\n3^3 = 27\n$$\n\n#### Step 2: Substitute back into the expression\n$$\n3^{(3^{27})}\n$$\n\n#### Step 3: Compute $3^{27}$\n$$\n3^{27} = 7,625,597,484,987\n$$\n\n#### Step 4: Substitute back again\n$$\n3^{(7,625,597,484,987)}\n$$\n\nThis final number is an **astronomically large** value, far beyond what can be practically written out in full. However, it is a well-defined and exact number.\n\n---\n\n### Final Answer\n\n$$\n\\boxed{3^{7625597484987}}\n$$', refusal=None, role='assistant', annotations=None, audio=None, function_call=None, tool_calls=None, reasoning_content=None, name=None))], created=1780663539, model='Qwen/Qwen3-30B-A3B', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=3017, prompt_tokens=29, total_tokens=3046, completion_tokens_details=None, prompt_tokens_details=None, estimated_cost=0.00136026), provider='deepinfra')

deepinfra/Sao10K/L3.1-70B-Euryale-v2.2 — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpavem_7yk/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3.1-70B-Euryale-v2.2","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3.1-70B-Euryale-v2.2","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Sao10K-L3.1-70B-Euryale-v2.2",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/Sao10K/L3.1-70B-Euryale-v2.2 — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpv7mem8b8/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3.1-70B-Euryale-v2.2","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3.1-70B-Euryale-v2.2","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Sao10K-L3.1-70B-Euryale-v2.2",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpr70z1_ll/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/deepseek-ai-DeepSeek-R1-Distill-Llama-70B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpov13x_m6/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/deepseek-ai-DeepSeek-R1-Distill-Llama-70B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — reasoning:stream (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp12i97fi6/snippet.py", line 31, in <module>
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
Exception: VALIDATION FAILED: reasoning stream - no reasoning information in stream

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/deepseek-ai-DeepSeek-R1-Distill-Llama-70B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=True,
)
_reasoning_detected = False
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            print(delta.content, end="", flush=True)
        if getattr(delta, "reasoning_content", None) is not None:
            _reasoning_detected = True
        if getattr(delta, "reasoning", None) is not None:
            _reasoning_detected = True

    _usage = getattr(chunk, "usage", None)
    if _usage is not None:
        _details = getattr(_usage, "completion_tokens_details", None)
        if _details and getattr(_details, "reasoning_tokens", 0) > 0:
            _reasoning_detected = True

if not _reasoning_detected:
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
print("\nVALIDATION: reasoning stream SUCCESS")

Output

<think>
First, I recognize that the expression \(3^{3^{3^{3}}}\) involves multiple layers of exponents and requires step-by-step evaluation to avoid confusion or misinterpretation.

To begin, I focus on the innermost exponent, which is \(3^3\). Calculating this gives me \(3 \times 3 \times 3 = 27\). This simplifies the original expression to \(3^{3^{27}}\).

Next, I need to evaluate \(3^{27}\). Calculating \(3^{3}\) first, I get \(27\). Therefore, \(3^{27}\) is equivalent to \(3^{3^{3}}\), which we've already determined is \(3^{27}\).

Given that both the base and the exponent in the expression \(3^{3^{27}}\) are the same and equal to 3, this means the expression simplifies to \(3^{3}\). Finally, calculating \(3^{3}\) gives me \(27\).

After carefully evaluating each layer of the exponent step by step, I conclude that \(3^{3^{3^{3}}} = 27\).
</think>

To calculate the expression \(3^{3^{3^{3}}}\), we need to evaluate the exponents from the innermost layer outward. Here's a step-by-step breakdown:

1. **Start with the innermost exponent:**
   \[
   3^3 = 27
   \]
   
2. **Substitute this result back into the expression:**
   \[
   3^{3^{3^{3}}} = 3^{3^{27}}
   \]
   
3. **Evaluate the next exponent:**
   \[
   3^{27} = 3^{3^3}
   \]
   
4. **Again, evaluate the inner exponent:**
   \[
   3^3 = 27
   \]
   
5. **Replace back into the expression:**
   \[
   3^{3^{27}} = 3^{27}
   \]
   
6. **Recognize that both the base and exponent are the same:**
   \[
   3^{3} = 27
   \]
   
7. **Therefore, substituting back gives:**
   \[
   3^{3^{3^{3}}} = 27
   \]

**Final Answer:**
\[
\boxed{27}
\]

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — reasoning (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpiuizszjh/snippet.py", line 39, in <module>
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
Exception: VALIDATION FAILED: reasoning - no reasoning information in response

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/deepseek-ai-DeepSeek-R1-Distill-Llama-70B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=False,
)
_usage = getattr(response, "usage", None)
_reasoning_detected = False

_choices = getattr(response, "choices", None)
if _choices and len(_choices) > 0:
    _message = getattr(_choices[0], "message", None)
else:
    _message = None

if _message and getattr(_message, "content", None) is not None:
    print(_message.content)

if _usage is not None:
    _output_token_details = getattr(_usage, "completion_tokens_details", None)
    if _output_token_details and getattr(_output_token_details, "reasoning_tokens", 0) > 0:
        _reasoning_detected = True
    elif getattr(_usage, "reasoning", None) is not None:
        _reasoning_detected = True

if getattr(_message, "reasoning_content", None) is not None:
    _reasoning_detected = True
elif getattr(_message, "reasoning", None) is not None:
    _reasoning_detected = True

if not _reasoning_detected:
    print("Response: ", response)
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
print("VALIDATION: reasoning SUCCESS")

Output

<think>
Alright, so I need to figure out how to calculate 3^3^3^3. Hmm, I remember that exponents are evaluated from right to left because of the order of operations, but I'm not entirely sure. Let me think step by step.

First, I know that when you have an expression like a^b^c, it's a bit ambiguous without parentheses. I think the general rule is that exponentiation is right-associative, meaning you evaluate it from the top down, starting with the rightmost exponent. So, does that mean 3^3^3^3 is calculated as 3^(3^(3^3))? That seems to make sense because you go right to left.

Let me break it down from the top. Starting with the innermost exponent: 3^3. I know that 3^3 is 3 multiplied by itself three times, which is 27. So, 3^3 equals 27.

Now, moving up one level, we have 3^3^3. Since we've evaluated the innermost exponent already, it's 3^27. Hold on, that's a big number. Let me calculate it. 3^27, well, 3^10 is 59049, so 3^20 is 3^10 squared, which is 59049^2. Hmm, 59049 squared... Wait, that's already 3,486,784,401. Then 3^27 is 3^20 multiplied by 3^7. 3^7 is 2187. So, 3,486,784,401 multiplied by 2187. That's going to be a really large number. Let me see if I can compute that.

But actually, before I go into that, the original expression is 3^3^3^3, so it's 3^(3^(3^3)) which is 3^(3^27). Because 3^3^3 is 3^(3^3) which is 3^27, and then the next exponent is 3^(that result). So the entire expression is 3 raised to the power of 3^27. Wait, no, that can't be right because I think the order is right to left.

Wait, perhaps I got confused. Let me clarify. The expression is 3^3^3^3. If exponentiation is right-associative, it's equivalent to 3^(3^(3^3)). So first, compute the innermost exponent: 3^3=27, then the next exponent is 3^27, and then finally the outermost exponent is 3^(3^27).

But wait, that seems like an enormous number. 3^27 is already 7,625,597,484,987. So 3^(7,625,597,484,987) is just insanely massive. I don't think I can compute that directly, but perhaps there's a way to express it using tetration or something.

Hold on, maybe I misapplied the exponentiation order. Let me double-check. Exponentiation is right-associative, so a^b^c is a^(b^c), not (a^b)^c. So, similarly, 3^3^3^3 would be 3^(3^(3^3)).

So, starting from the right, 3^3=27. Then moving left, the next operation is 3^27, which is 7,625,597,484,987. Then moving further left, it's 3^(7,625,597,484,987). That is an incredibly large number. It's a power tower of four 3s: 3^3^3^3. So, actually, this is equal to 3↑↑3 in Knuth's up-arrow notation, which represents tetration. But I don't know if that's helpful here.

Wait, no. 3↑↑3 is 3^(3^3) which is 3^27, which is just the second exponentiation. But 3↑↑4 would be 3^(3^(3^3)), which is what we have here. So 3↑↑4 is 3^3^3^3.

So it's a very, very large number. It's way beyond typical comprehension. So in terms of actually calculating it, I think it's not feasible to compute it directly. It's more about understanding that exponentiation is right-associative, so you evaluate from the top down.

Alternatively, if we evaluated from left to right, ((3^3)^3)^3, which would be (27^3)^3 = 19683^3, which is way smaller: 19683^3 is 7625597484987, which is just 3^27 again. Wait, no, that's the same as right associative.

Wait, perhaps that's confusing. Let me think.

If we have left associativity, (a^b)^c = a^(b*c) only in specific cases? No, that's not correct. Actually, exponentiation isn't associative. (a^b)^c = a^(b*c), because (a^b)^c = a^(b*c). Whereas a^(b^c) = a^(b^c). These are two different operations unless a=1 or something.

So, going back to the original expression, 3^3^3^3. Since exponentiation is right-associative, it's evaluated as 3^(3^(3^3)), which is 3^(3^27), which is 3^(7625597484987). That's the value of 3^3^3^3.

But I don't think it's practical to compute it in decimal form because it's an astronomically large number with over 3 trillion digits or something.

So in conclusion, 3^3^3^3 is equal to 3 raised to the power of 3^27, which is 3↑↑3 evaluated two levels higher, but actually, it's a tetration operation. However, without getting into higher-order operations, it's just a gigantic number that we can only express in terms of exponents and powers.

Therefore, when someone writes 3^3^3^3, they are referring to 3^(3^(3^3)), which is 3^(3^27) or 3^7625597484987. So, to calculate 3^3^3^3, you have to evaluate the exponents from the rightmost side, leading to this extraordinarily large number.

So, in summary, the way to calculate it is:

1. Compute the innermost exponent: 3^3 = 27
2. Use that result in the next exponent: 3^27 = 7,625,597,484,987
3. Use that result as the exponent for the outermost operation: 3^(7,625,597,484,987)

Even though the final result is too large to write out in decimal form, understanding the order of operations gives us the structure of the exponentiation.

**Final Answer**
The value of 3^3^3^3 is \boxed{3^{3^{3^3}}}.
</think>

To calculate \(3^3^3^3\), we need to evaluate the expression from right to left because exponentiation is right-associative. Here are the steps:

1. Compute the innermost exponent: \(3^3 = 27\).
2. Use that result in the next exponent: \(3^{27} = 7,625,597,484,987\).
3. Use that result as the exponent for the outermost operation: \(3^{7,625,597,484,987}\).

Thus, the value of \(3^3^3^3\) is expressed as \(3^{3^{3^3}}\).

\[
\boxed{3^{3^{3^3}}}
\]
Response:  ChatCompletion(id='chatcmpl-RcEGHlTTm8vMC7X0iQIYGXG1', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content="<think>\nAlright, so I need to figure out how to calculate 3^3^3^3. Hmm, I remember that exponents are evaluated from right to left because of the order of operations, but I'm not entirely sure. Let me think step by step.\n\nFirst, I know that when you have an expression like a^b^c, it's a bit ambiguous without parentheses. I think the general rule is that exponentiation is right-associative, meaning you evaluate it from the top down, starting with the rightmost exponent. So, does that mean 3^3^3^3 is calculated as 3^(3^(3^3))? That seems to make sense because you go right to left.\n\nLet me break it down from the top. Starting with the innermost exponent: 3^3. I know that 3^3 is 3 multiplied by itself three times, which is 27. So, 3^3 equals 27.\n\nNow, moving up one level, we have 3^3^3. Since we've evaluated the innermost exponent already, it's 3^27. Hold on, that's a big number. Let me calculate it. 3^27, well, 3^10 is 59049, so 3^20 is 3^10 squared, which is 59049^2. Hmm, 59049 squared... Wait, that's already 3,486,784,401. Then 3^27 is 3^20 multiplied by 3^7. 3^7 is 2187. So, 3,486,784,401 multiplied by 2187. That's going to be a really large number. Let me see if I can compute that.\n\nBut actually, before I go into that, the original expression is 3^3^3^3, so it's 3^(3^(3^3)) which is 3^(3^27). Because 3^3^3 is 3^(3^3) which is 3^27, and then the next exponent is 3^(that result). So the entire expression is 3 raised to the power of 3^27. Wait, no, that can't be right because I think the order is right to left.\n\nWait, perhaps I got confused. Let me clarify. The expression is 3^3^3^3. If exponentiation is right-associative, it's equivalent to 3^(3^(3^3)). So first, compute the innermost exponent: 3^3=27, then the next exponent is 3^27, and then finally the outermost exponent is 3^(3^27).\n\nBut wait, that seems like an enormous number. 3^27 is already 7,625,597,484,987. So 3^(7,625,597,484,987) is just insanely massive. I don't think I can compute that directly, but perhaps there's a way to express it using tetration or something.\n\nHold on, maybe I misapplied the exponentiation order. Let me double-check. Exponentiation is right-associative, so a^b^c is a^(b^c), not (a^b)^c. So, similarly, 3^3^3^3 would be 3^(3^(3^3)).\n\nSo, starting from the right, 3^3=27. Then moving left, the next operation is 3^27, which is 7,625,597,484,987. Then moving further left, it's 3^(7,625,597,484,987). That is an incredibly large number. It's a power tower of four 3s: 3^3^3^3. So, actually, this is equal to 3↑↑3 in Knuth's up-arrow notation, which represents tetration. But I don't know if that's helpful here.\n\nWait, no. 3↑↑3 is 3^(3^3) which is 3^27, which is just the second exponentiation. But 3↑↑4 would be 3^(3^(3^3)), which is what we have here. So 3↑↑4 is 3^3^3^3.\n\nSo it's a very, very large number. It's way beyond typical comprehension. So in terms of actually calculating it, I think it's not feasible to compute it directly. It's more about understanding that exponentiation is right-associative, so you evaluate from the top down.\n\nAlternatively, if we evaluated from left to right, ((3^3)^3)^3, which would be (27^3)^3 = 19683^3, which is way smaller: 19683^3 is 7625597484987, which is just 3^27 again. Wait, no, that's the same as right associative.\n\nWait, perhaps that's confusing. Let me think.\n\nIf we have left associativity, (a^b)^c = a^(b*c) only in specific cases? No, that's not correct. Actually, exponentiation isn't associative. (a^b)^c = a^(b*c), because (a^b)^c = a^(b*c). Whereas a^(b^c) = a^(b^c). These are two different operations unless a=1 or something.\n\nSo, going back to the original expression, 3^3^3^3. Since exponentiation is right-associative, it's evaluated as 3^(3^(3^3)), which is 3^(3^27), which is 3^(7625597484987). That's the value of 3^3^3^3.\n\nBut I don't think it's practical to compute it in decimal form because it's an astronomically large number with over 3 trillion digits or something.\n\nSo in conclusion, 3^3^3^3 is equal to 3 raised to the power of 3^27, which is 3↑↑3 evaluated two levels higher, but actually, it's a tetration operation. However, without getting into higher-order operations, it's just a gigantic number that we can only express in terms of exponents and powers.\n\nTherefore, when someone writes 3^3^3^3, they are referring to 3^(3^(3^3)), which is 3^(3^27) or 3^7625597484987. So, to calculate 3^3^3^3, you have to evaluate the exponents from the rightmost side, leading to this extraordinarily large number.\n\nSo, in summary, the way to calculate it is:\n\n1. Compute the innermost exponent: 3^3 = 27\n2. Use that result in the next exponent: 3^27 = 7,625,597,484,987\n3. Use that result as the exponent for the outermost operation: 3^(7,625,597,484,987)\n\nEven though the final result is too large to write out in decimal form, understanding the order of operations gives us the structure of the exponentiation.\n\n**Final Answer**\nThe value of 3^3^3^3 is \\boxed{3^{3^{3^3}}}.\n</think>\n\nTo calculate \\(3^3^3^3\\), we need to evaluate the expression from right to left because exponentiation is right-associative. Here are the steps:\n\n1. Compute the innermost exponent: \\(3^3 = 27\\).\n2. Use that result in the next exponent: \\(3^{27} = 7,625,597,484,987\\).\n3. Use that result as the exponent for the outermost operation: \\(3^{7,625,597,484,987}\\).\n\nThus, the value of \\(3^3^3^3\\) is expressed as \\(3^{3^{3^3}}\\).\n\n\\[\n\\boxed{3^{3^{3^3}}}\n\\]", refusal=None, role='assistant', annotations=None, audio=None, function_call=None, tool_calls=None, reasoning_content=None, name=None))], created=1780663507, model='deepseek-ai/DeepSeek-R1-Distill-Llama-70B', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=1691, prompt_tokens=24, total_tokens=1715, completion_tokens_details=None, prompt_tokens_details=None, estimated_cost=0.0013696), provider='deepinfra')

deepinfra/google/gemini-3.5-flash — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp1ldf1_e7/snippet.py", line 42, in <module>
    _parsed = _json.loads(_accumulated)
              ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/google-gemini-3.5-flash",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

Output

<think>
**Extracting Event Information**

I'm currently focused on parsing the user's prompt to identify key event details. My immediate goal is to accurately extract the event's name, like "science fair," and its specified date, such as "Friday."

{"date":"Friday","name":"Science Fair","participants":["Alice","Bob"]}

deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpdvt8ya00/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3-8B-Lunaris-v1-Turbo","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3-8B-Lunaris-v1-Turbo","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Sao10K-L3-8B-Lunaris-v1-Turbo",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp_30g2vri/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3-8B-Lunaris-v1-Turbo","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: Sao10K/L3-8B-Lunaris-v1-Turbo","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Sao10K-L3-8B-Lunaris-v1-Turbo",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/microsoft/phi-4 — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpjmv108x2/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: microsoft/phi-4","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: microsoft/phi-4","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/microsoft-phi-4",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/microsoft/phi-4 — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpu0glaong/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: microsoft/phi-4","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: microsoft/phi-4","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/microsoft-phi-4",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/Qwen/Qwen3-14B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpeqbg0y15/snippet.py", line 42, in <module>
    _parsed = _json.loads(_accumulated)
              ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-14B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

Output

<think>
Okay, let's see. The user says Alice and Bob are going to a science fair on Friday. I need to extract the event details as JSON.

First, the function required is json_extractor. The parameters needed are name, date, and participants. The name of the event is the science fair. The date is Friday, but I should probably format it as a string, maybe "Friday" or a specific date. The participants are Alice and Bob, so an array with their names.

Wait, the date might need to be more specific. But the user only mentions "Friday," so I'll use that. The function's parameters don't specify a date format, so "Friday" should be okay. Participants are an array of strings, so ["Alice", "Bob"]. 

I need to make sure all required fields are present: name, date, participants. Yes, that's covered. No additional properties allowed. Alright, the JSON should be structured correctly.
</think>

deepinfra/Qwen/Qwen3-14B — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpw8rr6s2b/snippet.py", line 37, in <module>
    _parsed = _json.loads(_content)
              ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-14B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

Output

<think>
Okay, let's see. The user says Alice and Bob are going to a science fair on Friday. I need to extract the event details as JSON.

First, the function required is json_extractor. The parameters needed are name, date, and participants. The name of the event is the science fair. The date is Friday, but I should probably format it as a string, maybe "Friday" or a specific date. The participants are Alice and Bob, so an array with their names.

Wait, the date might need to be more specific. But the user only mentions Friday, so maybe just use "Friday" as the date. The participants are Alice and Bob, so the array should have those two names. Let me structure the JSON accordingly. Make sure all required fields are present: name, date, participants. No additional properties. Alright, that should do it.
</think>

deepinfra/Qwen/Qwen3-14B — reasoning:stream (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpsosa2ipg/snippet.py", line 31, in <module>
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
Exception: VALIDATION FAILED: reasoning stream - no reasoning information in stream

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-14B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=True,
)
_reasoning_detected = False
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            print(delta.content, end="", flush=True)
        if getattr(delta, "reasoning_content", None) is not None:
            _reasoning_detected = True
        if getattr(delta, "reasoning", None) is not None:
            _reasoning_detected = True

    _usage = getattr(chunk, "usage", None)
    if _usage is not None:
        _details = getattr(_usage, "completion_tokens_details", None)
        if _details and getattr(_details, "reasoning_tokens", 0) > 0:
            _reasoning_detected = True

if not _reasoning_detected:
    raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
print("\nVALIDATION: reasoning stream SUCCESS")

Output

<think>
Okay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponentiation can be tricky, especially with multiple exponents. Let me start by recalling the order of operations. I remember that exponentiation is right-associative, which means that when you have a tower of exponents like a^b^c, you evaluate it from the top down. So, it's a^(b^c) instead of (a^b)^c. Let me confirm that... Yeah, I think that's right. For example, 2^2^2 would be 2^(2^2) = 2^4 = 16, not (2^2)^2 = 16 either, but in this case both give the same result. Wait, maybe in some cases it doesn't matter, but generally, the right-associative rule is the standard. So, applying that here, 3^3^3^3 should be evaluated as 3^(3^(3^3)), right?

Let me break it down step by step. Starting from the top of the tower. The topmost exponent is 3^3. Let me compute that first. 3^3 is 3 multiplied by itself three times: 3*3*3. That's 27. So, the next level down would be 3^27. Then, the entire expression is 3^(3^27), which is 3 raised to the power of 3^27. But wait, 3^27 is already a huge number. Let me check if I did that correctly.

So, the original expression is 3^3^3^3. If we follow right-associativity, we start evaluating from the top. So, the top exponent is 3^3, which is 27. Then, moving down one level, the next exponent is 3^27. Then, the base is 3, so the entire expression is 3^(3^27). Therefore, the value is 3 raised to the power of 3^27. 

But maybe I should write that out in steps. Let me try again:

First, compute the topmost exponent: 3^3 = 27.

Then, the next level down is 3^27. Wait, is that correct? Let me think. The original expression is 3^3^3^3. If we parse it as 3^(3^(3^3)), then yes. So, first compute 3^3 (which is 27), then compute 3^27, then compute 3^(that result). So, the entire expression is 3^(3^27). 

But 3^27 is already a massive number. Let me compute 3^27 first. Let me recall that 3^5 is 243, 3^10 is 59049, 3^20 would be (3^10)^2 = 59049^2. Let me compute that. 59049 squared... Well, that's going to be a big number. Maybe I don't need to compute it exactly unless required. But the question is just asking how to calculate 3^3^3^3, not necessarily to compute the exact value, which is astronomically large. However, maybe I need to present it in terms of exponents or in a simplified form?

Alternatively, perhaps the problem expects me to recognize that 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27), and that's the simplest form unless a numerical value is required. However, given that 3^27 is already 7,625,597,484,987, then 3 raised to that power is an extremely large number, way beyond standard notation. 

But let me check if I have the order of operations correct. Suppose someone might think that 3^3^3^3 is ((3^3)^3)^3. Let me compute that. Starting from the left: 3^3 is 27. Then, 27^3 is 19,683. Then, 19,683^3 is... Well, that's a huge number too, but way smaller than 3^(3^27). So, which one is the correct interpretation?

I think the key here is the associativity of exponentiation. In mathematics, exponentiation is right-associative, meaning that a^b^c is interpreted as a^(b^c), not (a^b)^c. Therefore, 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). However, in some contexts, especially in programming or certain calculators, it might be left-associative, but in pure mathematics, it's right-associative. Therefore, the correct way is to evaluate from the top down.

So, step by step:

1. Start with the topmost exponent: 3^3 = 27.

2. Then, the next exponent down is 3^27. So, compute 3^27. Let me verify what 3^27 is. Since 3^10 is 59,049, then 3^20 is (3^10)^2 = 59,049^2. Let me compute that:

59,049 * 59,049. Hmm, that's going to be tedious. Alternatively, I can use logarithms or recognize that 3^27 = 3^(20 + 7) = 3^20 * 3^7. Since 3^7 is 2,187. So, if I can compute 3^20 first.

Alternatively, maybe I can use known values:

3^1 = 3

3^2 = 9

3^3 = 27

3^4 = 81

3^5 = 243

3^6 = 729

3^7 = 2,187

3^8 = 6,561

3^9 = 19,683

3^10 = 59,049

3^11 = 177,147

3^12 = 531,441

3^13 = 1,594,323

3^14 = 4,782,969

3^15 = 14,348,907

3^16 = 43,046,721

3^17 = 129,140,163

3^18 = 387,420,489

3^19 = 1,162,261,467

3^20 = 3,486,784,401

Okay, so 3^20 is 3,486,784,401. Then 3^27 is 3^20 * 3^7 = 3,486,784,401 * 2,187. Let me compute that. 

First, 3,486,784,401 * 2,000 = 6,973,568,802,000

Then, 3,486,784,401 * 187 = ?

Let me compute 3,486,784,401 * 100 = 348,678,440,100

3,486,784,401 * 80 = 278,942,752,080

3,486,784,401 * 7 = 24,407,490,807

Adding those together: 348,678,440,100 + 278,942,752,080 = 627,621,192,180 + 24,407,490,807 = 652,028,682,987

So total 3^27 is 6,973,568,802,000 + 652,028,682,987 = Let me add those:

6,973,568,802,000

+ 652,028,682,987

= 7,625,597,484,987

So, 3^27 is 7,625,597,484,987. Let me check that with another method. For example, I know that 3^10 is 59,049, so 3^20 is (3^10)^2 = 59,049^2. Let me compute 59,049^2:

First, note that (a + b)^2 = a^2 + 2ab + b^2. Let me take a = 59,000 and b = 49.

So, (59,000 + 49)^2 = 59,000^2 + 2*59,000*49 + 49^2.

59,000^2 = (5.9 x 10^4)^2 = 34.81 x 10^8 = 3,481,000,000

Wait, 59,000 * 59,000: 59^2 * 10^6. 59^2 is 3,481, so 3,481 * 10^6 = 3,481,000,000.

Then, 2*59,000*49 = 2*59,000*49 = 118,000*49. Let's compute 100,000*49 = 4,900,000; 18,000*49 = 882,000. So total is 4,900,000 + 882,000 = 5,782,000.

Then, 49^2 = 2,401.

Adding them all together: 3,481,000,000 + 5,782,000 + 2,401 = 3,486,782,401. Wait, but earlier I had 3^20 as 3,486,784,401. There's a discrepancy here. Which one is correct?

Wait, let me check 59,049^2. Maybe my decomposition was wrong. Alternatively, maybe I should use another approach. Let me compute 59,049 * 59,049.

Alternatively, note that 59,049 is 9^5, since 9^5 = 59049. Wait, 9^1=9, 9^2=81, 9^3=729, 9^4=6561, 9^5=59049. Yes. So, 9^5 = 59049. Therefore, (9^5)^2 = 9^10. But 9^10 is (3^2)^10 = 3^20. So, 3^20 = 9^10. Which is 3,486,784,401. But according to my previous calculation using (a + b)^2, I got 3,486,782,401. There's a difference of 2,000,000. Where did I go wrong?

Let me redo the (a + b)^2 calculation. Let me take a = 59,000 and b = 49. Then:

(59,000 + 49)^2 = 59,000^2 + 2*59,000*49 + 49^2.

First term: 59,000^2 = (5.9 x 10^4)^2 = 34.81 x 10^8 = 3,481,000,000. Correct.

Second term: 2*59,000*49. Let me compute 59,000 * 49 first. 59,000 * 49 = 59,000*(50 - 1) = 59,000*50 - 59,000 = 2,950,000 - 59,000 = 2,891,000. Then multiply by 2: 5,782,000. Correct.

Third term: 49^2 = 2,401. Correct.

Adding them together: 3,481,000,000 + 5,782,000 = 3,486,782,000 + 2,401 = 3,486,784,401. Ah! I must have made an arithmetic error earlier. Yes, 3,481,000,000 + 5,782,000 is 3,486,782,000, then adding 2,401 gives 3,486,784,401. Which matches the known value of 3^20. So my initial calculation of 3^27 was correct: 3^20 * 3^7 = 3,486,784,401 * 2,187 = 7,625,597,484,987. Therefore, 3^27 is indeed 7,625,597,484,987.

So, going back to the original problem: 3^3^3^3 = 3^(3^27) = 3^(7,625,597,484,987). That's an astronomically large number. It's 3 raised to the power of approximately 7.625597484987 x 10^12. 

But is there a way to express this number in terms of other exponents or in scientific notation? Well, in terms of magnitude, log10(3^(7.625... x 10^12)) = 7.625... x 10^12 * log10(3). Since log10(3) is approximately 0.4771, multiplying that by 7.625... x 10^12 gives roughly 3.63 x 10^12. So, the number has approximately 3.63 x 10^12 digits. That's 3.63 trillion digits. Obviously, writing it out is impractical.

Therefore, the answer is 3^(3^27), which is 3 raised to the power of 7,625,597,484,987. Unless the question expects a different interpretation, but given the right-associativity of exponentiation, this should be the correct result.

Wait, just to be thorough, let me check if there's any alternative interpretation. For example, if someone parenthesized it differently. If it were ((3^3)^3)^3, that would be (((3^3)^3)^3). Let's compute that for comparison.

Starting with 3^3 = 27.

Then, 27^3 = 19,683.

Then, 19,683^3. Let me compute that. 19,683 * 19,683 = ?

Well, 20,000^2 = 400,000,000. But 19,683 is 317 less than 20,000. So, (20,000 - 317)^2 = 20,000^2 - 2*20,000*317 + 317^2. That's 400,000,000 - 12,680,000 + 100,489 = 400,000,000 - 12,680,000 is 387,320,000 + 100,489 = 387,420,489. Then, multiplying by 19,683 again: 387,420,489 * 19,683. That's going to be an enormous number, but even so, it's way smaller than 3^(3^27). For example, ((3^3)^3)^3 = 3^(3*3*3) = 3^27, which is 7,625,597,484,987. Wait, no! Wait, ((3^3)^3)^3 = 3^(3*3*3)? Wait, no. Wait, exponentiation rules: (a^b)^c = a^(b*c). So, ((3^3)^3)^3 = 3^(3*3*3) = 3^27. Wait, that's the same as 3^27. But earlier, I had 3^(3^27) as the right-associative interpretation. So, that shows that depending on the parentheses, the result can be vastly different. Therefore, the key is the order of operations.

So, if you have 3^3^3^3, the right-associative interpretation gives 3^(3^(3^3)) = 3^(3^27), while the left-associative interpretation gives (((3^3)^3)^3) = 3^27. So, the difference is enormous. Therefore, it's crucial to know which associativity is intended.

In mathematics, the standard is right-associative for exponentiation, so 3^3^3^3 is 3^(3^(3^3)). Therefore, the answer is 3^(3^27). However, to make sure, let me check some references or examples.

For example, in the Wikipedia article on exponentiation, it says that exponentiation is right-associative. So, a^b^c is a^(b^c). Therefore, the original problem is evaluated as 3^(3^(3^3)) = 3^(3^27). Therefore, that is the correct interpretation.

Therefore, the final answer is 3 raised to the power of 3^27, which is 3^7625597484987. Since the question says "calculate" but given the size of the number, it's impossible to write out in decimal form, so expressing it in terms of exponents is the appropriate way.

Alternatively, if the question expects the expression in a specific notation or using Knuth's up-arrow notation, but I think in standard terms, expressing it as 3^(3^27) is sufficient.

Wait, but let me check if 3^3^3^3 is sometimes interpreted differently. For example, in some contexts, especially in computer science or programming languages, the associativity might be different. However, in mathematical notation, it's standard to use right associativity. So, unless specified otherwise, that's the way to go.

Therefore, step-by-step, the calculation is:

1. Evaluate the topmost exponent: 3^3 = 27.

2. Then, the next exponent down: 3^27 = 7,625,597,484,987.

3. Finally, compute 3^(7,625,597,484,987).

Therefore, the result is 3 raised to the power of 7,625,597,484,987.

So, summarizing:

3^3^3^3 = 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987.

Yes, that seems correct. Therefore, unless there's a miscalculation in my steps, this should be the answer.

Just to recap:

- 3^3 = 27

- 3^27 = 7,625,597,484,987

- 3^(7,625,597,484,987) is the final result.

Therefore, the answer is 3^7625597484987.

**Final Answer**
The value of $3^{3^{3^3}}$ is \boxed{3^{7625597484987}}.
</think>

To evaluate the expression $3^{3^{3^3}}$, we must carefully follow the rules of **exponentiation associativity**. In mathematics, exponentiation is **right-associative**, meaning that a tower of exponents like $a^{b^{c}}$ is evaluated from the **top down**, i.e., as $a^{(b^c)}$, not $(a^b)^c$.

---

### Step-by-Step Evaluation

1. **Start with the innermost exponent:**

   $$
   3^3 = 27
   $$

2. **Use that result in the next level of the tower:**

   $$
   3^{3^3} = 3^{27}
   $$

   Now compute $3^{27}$:

   $$
   3^{27} = 7,625,597,484,987
   $$

3. **Now substitute into the full expression:**

   $$
   3^{3^{3^3}} = 3^{3^{27}} = 3^{7,625,597,484,987}
   $$

---

### Final Interpretation

This number is **extremely large**—so large that it cannot be practically written out in decimal form. The value is:

$$
3^{7,625,597,484,987}
$$

This expression represents the result of $3^{3^{3^3}}$ using the standard right-associative interpretation of exponentiation.

---

### Final Answer

$$
\boxed{3^{7625597484987}}
$$

deepinfra/Qwen/Qwen3-14B — reasoning (validation_failure)

Error

Traceback (most recent call last):
  File "/tmp/tmp0iqujhlo/snippet.py", line 39, in <module>
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
Exception: VALIDATION FAILED: reasoning - no reasoning information in response

Code snippet

from openai import OpenAI

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response = client.chat.completions.create(
    model="test-v2-deepinfra/Qwen-Qwen3-14B",
    messages=[
        {"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
    ],
    reasoning_effort="medium",
    stream=False,
)
_usage = getattr(response, "usage", None)
_reasoning_detected = False

_choices = getattr(response, "choices", None)
if _choices and len(_choices) > 0:
    _message = getattr(_choices[0], "message", None)
else:
    _message = None

if _message and getattr(_message, "content", None) is not None:
    print(_message.content)

if _usage is not None:
    _output_token_details = getattr(_usage, "completion_tokens_details", None)
    if _output_token_details and getattr(_output_token_details, "reasoning_tokens", 0) > 0:
        _reasoning_detected = True
    elif getattr(_usage, "reasoning", None) is not None:
        _reasoning_detected = True

if getattr(_message, "reasoning_content", None) is not None:
    _reasoning_detected = True
elif getattr(_message, "reasoning", None) is not None:
    _reasoning_detected = True

if not _reasoning_detected:
    print("Response: ", response)
    raise Exception("VALIDATION FAILED: reasoning - no reasoning information in response")
print("VALIDATION: reasoning SUCCESS")

Output

<think>
Okay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponentiation can be tricky when there are multiple exponents involved. Let me start by recalling the order of operations. I remember that exponentiation is right-associative, which means that when you have a tower of exponents like a^b^c, it's evaluated from the top down. So, 3^3^3^3 would be 3^(3^(3^3)) instead of ((3^3)^3)^3, right?

Wait, let me confirm that. If I have something like 2^2^2, is that 2^(2^2) or (2^2)^2? I think it's the former, 2^(2^2) = 2^4 = 16, whereas (2^2)^2 is 4^2 = 16. Oh, in this case, both give the same result. But if it's 2^3^2, then it's 2^(3^2) = 2^9 = 512, whereas (2^3)^2 = 8^2 = 64. So clearly, the order matters. Therefore, the standard is to evaluate from the top down, right-associative.

So applying that to 3^3^3^3, it should be 3^(3^(3^3)). Let me break that down step by step. First, compute the topmost exponent, which is 3^3. Then use that result as the exponent for the next level down, and so on.

Alright, starting with the top exponent: 3^3. That's straightforward. 3*3*3 is 27. So, 3^3 = 27. Then, moving down one level, the next exponent is 3^27. Wait, so the expression becomes 3^(3^27). But 3^27 is a huge number. Let me check that again. The original expression is 3^3^3^3. If we parse it as 3^(3^(3^3)), then 3^3 is 27, so then it's 3^(3^27). So yes, the exponent on the bottom 3 is 3^27, which is already a massive number.

But the question is asking how to calculate 3^3^3^3. However, given that 3^27 is already 7,625,597,484,987, and then 3 raised to that power is an astronomically large number. It's impractical to compute the exact value here, but maybe the question is just about understanding the order of operations and expressing it in terms of exponents?

Wait, maybe the user just wants the expression evaluated step by step, even if we can't compute the full number? Let me see. Let's go through each step again.

First, the expression is 3^3^3^3. As per right-associativity, we evaluate the top exponent first. So starting from the top:

First exponent: 3^3 = 27.

Then, the next level down: 3^27. So now, the expression becomes 3^(3^27) = 3^(7625597484987).

Therefore, 3^3^3^3 is equal to 3 raised to the power of 7,625,597,484,987. That's the value. But if the question is expecting a numerical value, that's not feasible because it's way too large. Maybe they just want the expression written in terms of exponents, or perhaps the value in terms of a power tower?

Alternatively, maybe there's confusion about the order of operations? Let me check another source or example. For example, in mathematics, when you have a tower of exponents, it's evaluated from the top down. So a^b^c is a^(b^c), not (a^b)^c. So that's consistent with what I thought earlier.

Therefore, the correct way is 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987. So, unless there's a different interpretation, that's the answer. However, perhaps the user is expecting a different grouping? Let me check if someone might misinterpret it as ((3^3)^3)^3, which would be 3^3 = 27, then 27^3 = 19683, then 19683^3. Let me compute that:

First, 3^3 = 27.

Then, (3^3)^3 = 27^3 = 19683.

Then, ((3^3)^3)^3 = 19683^3. Let me calculate that. 19683 * 19683 = ?

Well, 19683 is 3^9, since 3^1=3, 3^2=9, 3^3=27, 3^4=81, 3^5=243, 3^6=729, 3^7=2187, 3^8=6561, 3^9=19683. So 3^9^3 = 3^(9*3) = 3^27. Wait, so ((3^3)^3)^3 = 3^(3*3*3) = 3^27. Which is the same as the exponent in the other interpretation. Wait, but earlier I thought that 3^(3^27) is different from 3^27. So which is it?

Hold on, there seems to be confusion here. If we group it as ((3^3)^3)^3, then it's 3^(3*3*3) = 3^27. But if we group it as 3^(3^(3^3)), then it's 3^(3^27). These are two completely different numbers. So the key is the order of operations.

Therefore, the original problem is 3^3^3^3. Depending on the grouping, it's either 3^(3^(3^3)) or (((3^3)^3)^3). But according to standard mathematical conventions, exponentiation is right-associative, so it should be 3^(3^(3^3)).

But maybe the user is not aware of that and might have a different interpretation. However, given that, I should explain both possibilities but clarify the standard convention.

But the problem says "calculate 3^3^3^3". If we follow the right-associative rule, then it's 3^(3^(3^3)) which is 3^(3^27). However, calculating that number is not feasible here because it's enormous. Therefore, the answer is that expression, but maybe the question expects the value in terms of exponents, not the decimal number.

Alternatively, maybe the user is confused about the notation and wants to know how to compute it step by step, even if it's a huge number. Let me check if there's a way to express it or if there's a standard notation.

Alternatively, maybe the user is from a context where exponentiation is left-associative, but in mathematics, it's right-associative. For example, in programming languages, sometimes exponentiation is left-associative, but in mathematics, it's right-associative.

Therefore, to be thorough, I should explain both interpretations but emphasize the mathematical convention.

But given that the question is about calculation, and given that the right-associative interpretation leads to an extremely large number, perhaps the answer is to recognize the order and write it as 3^(3^27), and note that its exact value is too large to compute here.

Alternatively, if the question is from a math competition or something, maybe there's a trick or a way to express it in terms of another exponent?

Wait, let's see. 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). Now, 3^27 is 7,625,597,484,987, so the expression is 3^7,625,597,484,987. That's a 1 followed by approximately 3.66 billion zeros? Wait, no. Wait, the number of digits in 3^N is roughly N * log10(3). So for N = 7.625... x 10^12, the number of digits would be about 7.625e12 * 0.4771 ≈ 3.63e12 digits. That's 3.63 trillion digits. So, it's impossible to write out here.

Therefore, the answer is that 3^3^3^3 equals 3 raised to the power of 3^27, which is 3^7625597484987. This number is too large to compute explicitly here, but it can be represented in terms of exponents as shown.

Alternatively, maybe the user intended the left-associative interpretation, which would be (((3^3)^3)^3). Let me compute that:

First, 3^3 = 27.

Then, 27^3 = 19,683.

Then, 19,683^3. Let's compute that. 19,683 * 19,683 = ?

Well, 20,000^2 = 400,000,000, but subtracting the difference. However, maybe it's easier to note that 19,683 is 3^9, so (3^9)^3 = 3^(9*3) = 3^27. Therefore, (((3^3)^3)^3) = 3^27, which is 7,625,597,484,987. So that's a 13-digit number, which is manageable.

But this is only if we interpret the expression as left-associative. However, as per standard mathematical conventions, it's right-associative. Therefore, the answer depends on the interpretation.

But given that the user wrote "3^3^3^3" without parentheses, the standard is right-associative. Therefore, the answer is 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987.

But to make sure, let me check an authoritative source or example. For example, according to the standard rules of exponents, a^b^c is a^(b^c). For example, on Wikipedia's Exponentiation page, it says that exponentiation is right-associative. So, that's the case.

Therefore, the correct interpretation is 3^(3^(3^3)).

So, step by step:

1. Start with the topmost exponent: 3^3 = 27.

2. Then, the next level down: 3^27. So now, the expression becomes 3^(3^27).

3. Therefore, the entire expression is 3^(3^27), which is 3 raised to the power of 7,625,597,484,987.

Since calculating the exact decimal value is impractical due to its size, the expression is best left in exponential form.

However, just to confirm once more, if someone were to misinterpret the order of operations, they might compute it as ((3^3)^3)^3, which would be 3^(3*3*3) = 3^27, which is 7,625,597,484,987. But this is a much smaller number and only occurs if the operations are left-associative.

Therefore, the key is to emphasize the order of operations and the right-associative nature of exponentiation.

So, summarizing:

- Right-associative: 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987.

- Left-associative: (((3^3)^3)^3) = 3^27 = 7,625,597,484,987.

But since the former is the standard, that's the answer.

Therefore, the final answer is 3 raised to the power of 3^27, which is 3^7625597484987. Since the problem says "calculate," but given the impossibility of writing the full number, expressing it in terms of exponents is the appropriate response.
</think>

To calculate $3^{3^{3^3}}$, we must carefully follow the rules of exponentiation, which are **right-associative**. This means that expressions like $a^{b^{c}}$ are evaluated from the top down, i.e., $a^{(b^c)}$, not $(a^b)^c$.

---

### **Step-by-Step Breakdown:**

1. **Start with the topmost exponent:**
   $$
   3^3 = 27
   $$

2. **Use this result as the exponent in the next level:**
   $$
   3^{3^3} = 3^{27}
   $$

3. **Now, use this result as the exponent in the final expression:**
   $$
   3^{3^{3^3}} = 3^{(3^{27})}
   $$

   Here, $3^{27}$ is a very large number:
   $$
   3^{27} = 7,625,597,484,987
   $$

4. **So, the full expression becomes:**
   $$
   3^{3^{3^3}} = 3^{7,625,597,484,987}
   $$

---

### **Key Observations:**

- The number $3^{7,625,597,484,987}$ is astronomically large. It has approximately **3.66 trillion digits** and is **infeasible to compute or write out explicitly**.
- In mathematical notation, it is most appropriately expressed in its exponential form:
  $$
  3^{3^{3^3}} = 3^{(3^{27})} = 3^{7,625,597,484,987}
  $$

---

### **Final Answer:**

$$
\boxed{3^{7625597484987}}
$$
Response:  ChatCompletion(id='chatcmpl-RCutCh5uWpyDgGkljXWcYiJH', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='<think>\nOkay, so I need to figure out how to calculate 3^3^3^3. Hmm, exponentiation can be tricky when there are multiple exponents involved. Let me start by recalling the order of operations. I remember that exponentiation is right-associative, which means that when you have a tower of exponents like a^b^c, it\'s evaluated from the top down. So, 3^3^3^3 would be 3^(3^(3^3)) instead of ((3^3)^3)^3, right?\n\nWait, let me confirm that. If I have something like 2^2^2, is that 2^(2^2) or (2^2)^2? I think it\'s the former, 2^(2^2) = 2^4 = 16, whereas (2^2)^2 is 4^2 = 16. Oh, in this case, both give the same result. But if it\'s 2^3^2, then it\'s 2^(3^2) = 2^9 = 512, whereas (2^3)^2 = 8^2 = 64. So clearly, the order matters. Therefore, the standard is to evaluate from the top down, right-associative.\n\nSo applying that to 3^3^3^3, it should be 3^(3^(3^3)). Let me break that down step by step. First, compute the topmost exponent, which is 3^3. Then use that result as the exponent for the next level down, and so on.\n\nAlright, starting with the top exponent: 3^3. That\'s straightforward. 3*3*3 is 27. So, 3^3 = 27. Then, moving down one level, the next exponent is 3^27. Wait, so the expression becomes 3^(3^27). But 3^27 is a huge number. Let me check that again. The original expression is 3^3^3^3. If we parse it as 3^(3^(3^3)), then 3^3 is 27, so then it\'s 3^(3^27). So yes, the exponent on the bottom 3 is 3^27, which is already a massive number.\n\nBut the question is asking how to calculate 3^3^3^3. However, given that 3^27 is already 7,625,597,484,987, and then 3 raised to that power is an astronomically large number. It\'s impractical to compute the exact value here, but maybe the question is just about understanding the order of operations and expressing it in terms of exponents?\n\nWait, maybe the user just wants the expression evaluated step by step, even if we can\'t compute the full number? Let me see. Let\'s go through each step again.\n\nFirst, the expression is 3^3^3^3. As per right-associativity, we evaluate the top exponent first. So starting from the top:\n\nFirst exponent: 3^3 = 27.\n\nThen, the next level down: 3^27. So now, the expression becomes 3^(3^27) = 3^(7625597484987).\n\nTherefore, 3^3^3^3 is equal to 3 raised to the power of 7,625,597,484,987. That\'s the value. But if the question is expecting a numerical value, that\'s not feasible because it\'s way too large. Maybe they just want the expression written in terms of exponents, or perhaps the value in terms of a power tower?\n\nAlternatively, maybe there\'s confusion about the order of operations? Let me check another source or example. For example, in mathematics, when you have a tower of exponents, it\'s evaluated from the top down. So a^b^c is a^(b^c), not (a^b)^c. So that\'s consistent with what I thought earlier.\n\nTherefore, the correct way is 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987. So, unless there\'s a different interpretation, that\'s the answer. However, perhaps the user is expecting a different grouping? Let me check if someone might misinterpret it as ((3^3)^3)^3, which would be 3^3 = 27, then 27^3 = 19683, then 19683^3. Let me compute that:\n\nFirst, 3^3 = 27.\n\nThen, (3^3)^3 = 27^3 = 19683.\n\nThen, ((3^3)^3)^3 = 19683^3. Let me calculate that. 19683 * 19683 = ?\n\nWell, 19683 is 3^9, since 3^1=3, 3^2=9, 3^3=27, 3^4=81, 3^5=243, 3^6=729, 3^7=2187, 3^8=6561, 3^9=19683. So 3^9^3 = 3^(9*3) = 3^27. Wait, so ((3^3)^3)^3 = 3^(3*3*3) = 3^27. Which is the same as the exponent in the other interpretation. Wait, but earlier I thought that 3^(3^27) is different from 3^27. So which is it?\n\nHold on, there seems to be confusion here. If we group it as ((3^3)^3)^3, then it\'s 3^(3*3*3) = 3^27. But if we group it as 3^(3^(3^3)), then it\'s 3^(3^27). These are two completely different numbers. So the key is the order of operations.\n\nTherefore, the original problem is 3^3^3^3. Depending on the grouping, it\'s either 3^(3^(3^3)) or (((3^3)^3)^3). But according to standard mathematical conventions, exponentiation is right-associative, so it should be 3^(3^(3^3)).\n\nBut maybe the user is not aware of that and might have a different interpretation. However, given that, I should explain both possibilities but clarify the standard convention.\n\nBut the problem says "calculate 3^3^3^3". If we follow the right-associative rule, then it\'s 3^(3^(3^3)) which is 3^(3^27). However, calculating that number is not feasible here because it\'s enormous. Therefore, the answer is that expression, but maybe the question expects the value in terms of exponents, not the decimal number.\n\nAlternatively, maybe the user is confused about the notation and wants to know how to compute it step by step, even if it\'s a huge number. Let me check if there\'s a way to express it or if there\'s a standard notation.\n\nAlternatively, maybe the user is from a context where exponentiation is left-associative, but in mathematics, it\'s right-associative. For example, in programming languages, sometimes exponentiation is left-associative, but in mathematics, it\'s right-associative.\n\nTherefore, to be thorough, I should explain both interpretations but emphasize the mathematical convention.\n\nBut given that the question is about calculation, and given that the right-associative interpretation leads to an extremely large number, perhaps the answer is to recognize the order and write it as 3^(3^27), and note that its exact value is too large to compute here.\n\nAlternatively, if the question is from a math competition or something, maybe there\'s a trick or a way to express it in terms of another exponent?\n\nWait, let\'s see. 3^3^3^3 is 3^(3^(3^3)) = 3^(3^27). Now, 3^27 is 7,625,597,484,987, so the expression is 3^7,625,597,484,987. That\'s a 1 followed by approximately 3.66 billion zeros? Wait, no. Wait, the number of digits in 3^N is roughly N * log10(3). So for N = 7.625... x 10^12, the number of digits would be about 7.625e12 * 0.4771 ≈ 3.63e12 digits. That\'s 3.63 trillion digits. So, it\'s impossible to write out here.\n\nTherefore, the answer is that 3^3^3^3 equals 3 raised to the power of 3^27, which is 3^7625597484987. This number is too large to compute explicitly here, but it can be represented in terms of exponents as shown.\n\nAlternatively, maybe the user intended the left-associative interpretation, which would be (((3^3)^3)^3). Let me compute that:\n\nFirst, 3^3 = 27.\n\nThen, 27^3 = 19,683.\n\nThen, 19,683^3. Let\'s compute that. 19,683 * 19,683 = ?\n\nWell, 20,000^2 = 400,000,000, but subtracting the difference. However, maybe it\'s easier to note that 19,683 is 3^9, so (3^9)^3 = 3^(9*3) = 3^27. Therefore, (((3^3)^3)^3) = 3^27, which is 7,625,597,484,987. So that\'s a 13-digit number, which is manageable.\n\nBut this is only if we interpret the expression as left-associative. However, as per standard mathematical conventions, it\'s right-associative. Therefore, the answer depends on the interpretation.\n\nBut given that the user wrote "3^3^3^3" without parentheses, the standard is right-associative. Therefore, the answer is 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987.\n\nBut to make sure, let me check an authoritative source or example. For example, according to the standard rules of exponents, a^b^c is a^(b^c). For example, on Wikipedia\'s Exponentiation page, it says that exponentiation is right-associative. So, that\'s the case.\n\nTherefore, the correct interpretation is 3^(3^(3^3)).\n\nSo, step by step:\n\n1. Start with the topmost exponent: 3^3 = 27.\n\n2. Then, the next level down: 3^27. So now, the expression becomes 3^(3^27).\n\n3. Therefore, the entire expression is 3^(3^27), which is 3 raised to the power of 7,625,597,484,987.\n\nSince calculating the exact decimal value is impractical due to its size, the expression is best left in exponential form.\n\nHowever, just to confirm once more, if someone were to misinterpret the order of operations, they might compute it as ((3^3)^3)^3, which would be 3^(3*3*3) = 3^27, which is 7,625,597,484,987. But this is a much smaller number and only occurs if the operations are left-associative.\n\nTherefore, the key is to emphasize the order of operations and the right-associative nature of exponentiation.\n\nSo, summarizing:\n\n- Right-associative: 3^(3^(3^3)) = 3^(3^27) = 3^7625597484987.\n\n- Left-associative: (((3^3)^3)^3) = 3^27 = 7,625,597,484,987.\n\nBut since the former is the standard, that\'s the answer.\n\nTherefore, the final answer is 3 raised to the power of 3^27, which is 3^7625597484987. Since the problem says "calculate," but given the impossibility of writing the full number, expressing it in terms of exponents is the appropriate response.\n</think>\n\nTo calculate $3^{3^{3^3}}$, we must carefully follow the rules of exponentiation, which are **right-associative**. This means that expressions like $a^{b^{c}}$ are evaluated from the top down, i.e., $a^{(b^c)}$, not $(a^b)^c$.\n\n---\n\n### **Step-by-Step Breakdown:**\n\n1. **Start with the topmost exponent:**\n   $$\n   3^3 = 27\n   $$\n\n2. **Use this result as the exponent in the next level:**\n   $$\n   3^{3^3} = 3^{27}\n   $$\n\n3. **Now, use this result as the exponent in the final expression:**\n   $$\n   3^{3^{3^3}} = 3^{(3^{27})}\n   $$\n\n   Here, $3^{27}$ is a very large number:\n   $$\n   3^{27} = 7,625,597,484,987\n   $$\n\n4. **So, the full expression becomes:**\n   $$\n   3^{3^{3^3}} = 3^{7,625,597,484,987}\n   $$\n\n---\n\n### **Key Observations:**\n\n- The number $3^{7,625,597,484,987}$ is astronomically large. It has approximately **3.66 trillion digits** and is **infeasible to compute or write out explicitly**.\n- In mathematical notation, it is most appropriately expressed in its exponential form:\n  $$\n  3^{3^{3^3}} = 3^{(3^{27})} = 3^{7,625,597,484,987}\n  $$\n\n---\n\n### **Final Answer:**\n\n$$\n\\boxed{3^{7625597484987}}\n$$', refusal=None, role='assistant', annotations=None, audio=None, function_call=None, tool_calls=[], reasoning_content=None, name=None))], created=1780663521, model='Qwen/Qwen3-14B', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=3286, prompt_tokens=29, total_tokens=3315, completion_tokens_details=None, prompt_tokens_details=None, estimated_cost=0.00079212), provider='deepinfra')

deepinfra/NousResearch/Hermes-3-Llama-3.1-70B — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpkkvidr5g/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-70B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-70B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/NousResearch-Hermes-3-Llama-3.1-70B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/NousResearch/Hermes-3-Llama-3.1-70B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmprono_7wl/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-70B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-70B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/NousResearch-Hermes-3-Llama-3.1-70B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

deepinfra/NousResearch/Hermes-3-Llama-3.1-405B — structured-output (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmph_f1nly9/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-405B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-405B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/NousResearch-Hermes-3-Llama-3.1-405B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=False,
)
import json as _json

_content = response.choices[0].message.content
print(_content)

if not _content:
    raise Exception("VALIDATION FAILED: structured-output - response content is empty")

_parsed = _json.loads(_content)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output - unexpected keys present: {set(_parsed.keys())}"
    )

print("VALIDATION: structured-output SUCCESS")

deepinfra/NousResearch/Hermes-3-Llama-3.1-405B — structured-output:stream (failure)

Error

Traceback (most recent call last):
  File "/tmp/tmpkx3_ovxm/snippet.py", line 21, in <module>
    response = client.chat.completions.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_utils/_utils.py", line 286, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py", line 1147, in create
    return self._post(
           ^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1259, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.APIStatusError: Error code: 405 - {'status': 'failure', 'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-405B","type":"invalid_request_error","param":"tools","code":null}}', 'error': {'message': 'Invalid response received from deepinfra: {"error":{"message":"Tool calling is not supported for model: NousResearch/Hermes-3-Llama-3.1-405B","type":"invalid_request_error","param":"tools","code":null}}', 'type': 'APIError', 'code': '405'}, 'error_origin_level': 'api_error', 'provider': 'deepinfra'}

Code snippet

from openai import OpenAI
import json

client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")

response_schema = json.loads('''{
  "title": "CalendarEvent",
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "date": { "type": "string" },
    "participants": {
      "type": "array",
      "items": { "type": "string" }
    }
  },
  "required": ["name", "date", "participants"],
  "additionalProperties": false
}''')

response = client.chat.completions.create(
    model="test-v2-deepinfra/NousResearch-Hermes-3-Llama-3.1-405B",
    messages=[
        {"role": "user", "content": "Alice and Bob are going to a science fair on Friday. Extract the event details as JSON."},
    ],
    response_format={"type": "json_schema", "json_schema": {"name": "CalendarEvent", "schema": response_schema}},
    stream=True,
)
import json as _json

_accumulated = ""
for chunk in response:
    if chunk.choices and len(chunk.choices) > 0:
        delta = chunk.choices[0].delta
        if delta.content is not None:
            _accumulated += delta.content
            print(delta.content, end="", flush=True)

if not _accumulated:
    raise Exception("VALIDATION FAILED: structured-output stream - no content received")

_parsed = _json.loads(_accumulated)

if "name" not in _parsed or "date" not in _parsed or "participants" not in _parsed:
    raise Exception("VALIDATION FAILED: structured-output stream - missing expected fields (name, date, participants)")

if not isinstance(_parsed.get("participants"), list):
    raise Exception("VALIDATION FAILED: structured-output stream - 'participants' is not a list, schema not enforced")

if set(_parsed.keys()) != {"name", "date", "participants"}:
    raise Exception(
        f"VALIDATION FAILED: structured-output stream - unexpected keys present: {set(_parsed.keys())}"
    )

print("\nVALIDATION: structured-output stream SUCCESS")

Successes (88)

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — params (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/mistralai/Mistral-Small-24B-Instruct-2501 — params (success)

Output

The capital of France is Paris.

deepinfra/mistralai/Mistral-Small-24B-Instruct-2501 — params:stream (success)

Output

The capital of France is Paris.

deepinfra/deepseek-ai/DeepSeek-V3-0324 — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3-0324 — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3-0324 — params (success)

Output

The capital of France is **Paris**. It is known for its rich history, iconic landmarks like the Eiffel Tower, and vibrant culture. Let me know if you'
... (truncated, 21 chars omitted)

deepinfra/deepseek-ai/DeepSeek-V3-0324 — params:stream (success)

Output

The capital of France is **Paris**.  

Paris is known for its rich history, iconic landmarks like the Eiffel Tower, the Louvre Museum, and Notre-Dame 
... (truncated, 137 chars omitted)

deepinfra/deepseek-ai/DeepSeek-V3-0324 — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3-0324 — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — params (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — structured-output (success)

Output

{"name":"science fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — tool-call (success)

Output

Function: get_weather
Arguments: {}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — tool-call:stream (success)

Output

{}
VALIDATION: tool-call stream SUCCESS

deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct — params (success)

Output

The capital of France is Paris.

deepinfra/Qwen/Qwen2.5-72B-Instruct — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/Qwen/Qwen2.5-72B-Instruct — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/Qwen/Qwen2.5-72B-Instruct — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/Qwen/Qwen2.5-72B-Instruct — params (success)

Output

The capital of France is Paris.

deepinfra/Qwen/Qwen2.5-72B-Instruct — params:stream (success)

Output

The capital of France is Paris.

deepinfra/Qwen/Qwen2.5-72B-Instruct — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/MiniMaxAI/MiniMax-M2.7 — structured-output:stream (success)

Output

{"name": "science fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/MiniMaxAI/MiniMax-M2.7 — params:stream (success)

Output

The capital of France is **Paris**.

deepinfra/MiniMaxAI/MiniMax-M2.7 — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/MiniMaxAI/MiniMax-M2.7 — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/MiniMaxAI/MiniMax-M2.7 — params (success)

Output

The capital of France is **Paris**. It has been the country’s primary political and cultural center since the medieval period.

deepinfra/MiniMaxAI/MiniMax-M2.7 — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3 — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3 — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3 — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/deepseek-ai/DeepSeek-V3 — params (success)

Output

The capital of France is **Paris**.

deepinfra/deepseek-ai/DeepSeek-V3 — params:stream (success)

Output

The capital of France is Paris. It is renowned for its historical landmarks, cultural institutions, and global influence in art, fashion, gastronomy, 
... (truncated, 110 chars omitted)

deepinfra/deepseek-ai/DeepSeek-V3 — structured-output:stream (success)

Output

{"name": "science fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/Qwen/Qwen3-30B-A3B — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/Qwen/Qwen3-30B-A3B — params:stream (success)

Output

<think>
Okay, the user is asking for the capital of France. Let me think. I remember that France is a country in Europe. The capital is the city where
... (truncated, 746 chars omitted)

deepinfra/Qwen/Qwen3-30B-A3B — tool-call:stream (success)

Output

<think>
Okay, the user wants me to check the weather in London using the get_weather tool. Let me make sure I understand the instructions correctly. T
... (truncated, 1238 chars omitted)

deepinfra/Qwen/Qwen3-30B-A3B — params (success)

Output

<think>
Okay, the user is asking for the capital of France. Let me think. I remember that France is a country in Europe. The capital is the city where
... (truncated, 758 chars omitted)

deepinfra/Sao10K/L3.1-70B-Euryale-v2.2 — params (success)

Output

The capital of France is Paris.

deepinfra/Sao10K/L3.1-70B-Euryale-v2.2 — params:stream (success)

Output

The capital of France is Paris.

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — params (success)

Output

<think>

</think>

The capital of France is Paris.

deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B — params:stream (success)

Output

<think>

</think>

The capital of France is Paris.

deepinfra/google/gemini-3.5-flash — tool-call:stream (success)

Output

{"location":"London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/google/gemini-3.5-flash — params:stream (success)

Output

The capital of France is **Paris**.

deepinfra/google/gemini-3.5-flash — params (success)

Output

<think>
**My Cognitive Journey to Ascertain the French Capital**

I can see the user's request here, and my immediate priority is to understand the ce
... (truncated, 872 chars omitted)

deepinfra/google/gemini-3.5-flash — tool-call (success)

Output

Function: get_weather
Arguments: {"location":"London"}
VALIDATION: tool-call SUCCESS

deepinfra/google/gemini-3.5-flash — structured-output (success)

Output

{"date":"Friday","name":"science fair","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/google/gemini-3.5-flash — reasoning (success)

Output

<think>
**Deconstructing the Tower of Powers: My Thought Process for Evaluating $3^{3^{3^3}}$**

When faced with an expression like $3^{3^{3^3}}$, my 
... (truncated, 5960 chars omitted)

deepinfra/google/gemini-3.5-flash — reasoning:stream (success)

Output

<think>
**Exploring Nested Exponents**

I'm currently delving into the intricacies of evaluating stacked exponents, specifically focusing on expressio
... (truncated, 4303 chars omitted)

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct — params (success)

Output

The capital of France is Paris.

deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo — params (success)

Output

The capital of France is Paris.

deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — tool-call:stream (success)

Output

{"location": "London"}location": "London"}</function>
VALIDATION: tool-call stream SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — params:stream (success)

Output

The capital of France is Paris.

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo — params (success)

Output

The capital of France is Paris.

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — params:stream (success)

Output

The capital of France is **Paris**.

Paris is known for its iconic landmarks such as the Eiffel Tower, the Louvre Museum, and Notre-Dame Cathedral, as
... (truncated, 99 chars omitted)

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — tool-call:stream (success)

Output

{"location": "London"}
VALIDATION: tool-call stream SUCCESS

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — structured-output:stream (success)

Output

{"name": "Science Fair", "date": "Friday", "participants": ["Alice", "Bob"]}
VALIDATION: structured-output stream SUCCESS

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — structured-output (success)

Output

{"name":"Science Fair","date":"Friday","participants":["Alice","Bob"]}
VALIDATION: structured-output SUCCESS

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 — params (success)

Output

The capital of France is **Paris**. It is one of the most famous and visited cities in the world, known for its rich history, iconic landmarks like th
... (truncated, 105 chars omitted)

deepinfra/microsoft/phi-4 — params (success)

Output

The capital of France is Paris.

deepinfra/microsoft/phi-4 — params:stream (success)

Output

The capital of France is Paris.

deepinfra/Qwen/Qwen3-14B — params (success)

Output

<think>
Okay, the user is asking for the capital of France. Let me make sure I have the correct answer. I know that France is a country in Europe, and
... (truncated, 934 chars omitted)

deepinfra/Qwen/Qwen3-14B — tool-call:stream (success)

Output

<think>
Okay, the user wants me to check the weather in London using the get_weather tool. Let me make sure I understand the instructions correctly. T
... (truncated, 543 chars omitted)

deepinfra/Qwen/Qwen3-14B — tool-call (success)

Output

Function: get_weather
Arguments: {"location": "London"}
VALIDATION: tool-call SUCCESS

deepinfra/Qwen/Qwen3-14B — params:stream (success)

Output

<think>
Okay, the user is asking for the capital of France. Let me think. I know that Paris is the capital, but I should make sure. Wait, sometimes pe
... (truncated, 625 chars omitted)

deepinfra/NousResearch/Hermes-3-Llama-3.1-70B — params:stream (success)

Output

The capital of France is Paris. It is the largest city in France and is located in the north-central part of the country. Paris is known for its iconi
... (truncated, 302 chars omitted)

deepinfra/NousResearch/Hermes-3-Llama-3.1-70B — params (success)

Output

The capital of France is Paris. It is the largest city in France and is located in the north-central part of the country. Paris is known for its iconi
... (truncated, 390 chars omitted)

deepinfra/NousResearch/Hermes-3-Llama-3.1-405B — params:stream (success)

Output

The capital of France is Paris.

Paris is the largest city in France and is located in the north-central part of the country. It is situated on the Ri
... (truncated, 393 chars omitted)

deepinfra/NousResearch/Hermes-3-Llama-3.1-405B — params (success)

Output

The capital of France is Paris.

Paris is the largest city in France and is located in the north-central part of the country. It is situated on the Ri
... (truncated, 398 chars omitted)