✓ PASS

pydantic-ai 2.61.0

truncation.reasoning-only · ollama-openai

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Requirements

IdLevelStatusEvidence
cause-is-truncationMUSTSATISFIEDfinish.value="length" (raw: ModelResponse.finish_reason); truth.finish="length"; error.category="truncation"; structured.returned_as_success=false
text-reportedMUSTSATISFIEDtext.value=null (absent); truth.text=""
usage-reportedSHOULDNOT_OBSERVABLEusage.output=64 (raw); truth.usage.output=64

What the provider sent

Finish
length
Raw finish
length
Text
Tool calls
[]
Usage
{
  "alternatives": {},
  "cached_input": 0,
  "input": 54,
  "output": 64,
  "raw": {
    "completion_tokens": 64,
    "prompt_tokens": 54,
    "prompt_tokens_details": {
      "cached_tokens": 0
    },
    "total_tokens": 118
  },
  "reasoning": null,
  "total": 118
}
Stream completed
null
Error
null
Wire excerpt
status: 200
content-type: application/json
body (json):
{
  "id": "chatcmpl-741",
  "object": "chat.completion",
  "created": 1791831679,
  "model": "qwen3.5:0.8b",
  "system_fingerprint": "fp_ollama",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "",
        "reasoning": "Here's my thought process for finding the smallest positive whole number with these constraints:\n\n1.  **Understand the Goal:** I need to find a specific integer $x$ satisfying three conditions simultaneously:\n    *   Condition A (Modulo): $x \\equiv 1 \\pmod{2}$ ("
      },
      "finish_reason": "length"
    }
  ],
  "usage": {
    "prompt_tokens": 54,
    "prompt_tokens_details": {
      "cached_tokens": 0
    },
    "completion_tokens": 64,
    "total_tokens": 118
  }
}

What the library reported

Outcome
raised
Finish
{
  "raw": "length",
  "source": "ModelResponse.finish_reason",
  "surface": "raw",
  "value": "length"
}
Text
Value
null
Surface
absent
Tool calls
[]
Usage
{
  "cached_input": 0,
  "input": 54,
  "output": 64,
  "reasoning": 0,
  "surface": {
    "cached_input": "raw",
    "input": "raw",
    "output": "raw",
    "reasoning": "raw",
    "total": "raw"
  },
  "total": 118
}
Stream
{
  "chunks_seen": null,
  "completed": null,
  "used": false
}
Error
Type
pydantic_ai.exceptions.UnexpectedModelBehavior
Message
Model token limit (64) exceeded before any response was generated. Increase the `max_tokens` model setting, or simplify the prompt to result in a shorter response that will fit within the limit.
Category
truncation
Retry after
null
Stack top
pydantic_ai/_agent_graph.py:2495
Unsupported reason
null
Full observation JSON
{
  "elapsed_ms": 240.34519493579865,
  "error": {
    "category": "truncation",
    "message": "Model token limit (64) exceeded before any response was generated. Increase the `max_tokens` model setting, or simplify the prompt to result in a shorter response that will fit within the limit.",
    "retry_after": null,
    "stack_top": "pydantic_ai/_agent_graph.py:2495",
    "type": "pydantic_ai.exceptions.UnexpectedModelBehavior"
  },
  "finish": {
    "raw": "length",
    "source": "ModelResponse.finish_reason",
    "surface": "raw",
    "value": "length"
  },
  "format": "wiretruth.observation/v1",
  "library": {
    "api": "Agent.run",
    "language": "python",
    "name": "pydantic-ai",
    "version": "2.61.0"
  },
  "notes": [],
  "outcome": "raised",
  "stream": {
    "chunks_seen": null,
    "completed": null,
    "used": false
  },
  "structured": {
    "attempted": false,
    "returned_as_success": false,
    "value": null
  },
  "text": {
    "surface": "absent",
    "value": null
  },
  "tool_calls": [],
  "unsupported_reason": null,
  "usage": {
    "cached_input": 0,
    "input": 54,
    "output": 64,
    "reasoning": 0,
    "surface": {
      "cached_input": "raw",
      "input": "raw",
      "output": "raw",
      "reasoning": "raw",
      "total": "raw"
    },
    "total": 118
  }
}

Fixture

recorded ollama-openai/truncation.reasoning-only

ProvenanceValue
Recorded at2026-10-12T19:01:16Z
Requested modelqwen3.5:0.8b
Returned modelqwen3.5:0.8b
CI runhttps://github.com/kartsan03/wiretruth/actions/runs/38294739276

Reproduce

wiretruth serve ollama-openai/truncation.reasoning-only

Plain-library snippet from the shim manifest.

OllamaModel(model, provider=OllamaProvider(base_url=WIRETRUTH_BASE_URL_OLLAMA_OPENAI, api_key=WIRETRUTH_API_KEY)); /v1 base

Upstream

No matching upstream report.

History

VersionGrade
2.61.0✓ PASS
2.56.0✓ PASS