✓ PASS
pydantic-ai 2.61.0
truncation.reasoning-only · anthropic
Requirements
| Id | Level | Status | Evidence |
|---|---|---|---|
| cause-is-truncation | MUST | SATISFIED | finish.value="length" (raw: ModelResponse.finish_reason); truth.finish="length"; error.category="truncation"; structured.returned_as_success=false |
| text-reported | MUST | SATISFIED | text.value=null (absent); truth.text=null |
| usage-reported | SHOULD | NOT_OBSERVABLE | usage.output=64 (raw); truth.usage.output=64 |
What the provider sent
- Finish
- length
- Raw finish
- max_tokens
- Text
null
- Tool calls
[]
- Usage
{ "alternatives": {}, "cached_input": null, "input": 25, "output": 64, "raw": { "input_tokens": 25, "output_tokens": 64, "output_tokens_details": { "thinking_tokens": 64 } }, "reasoning": 64, "total": 89 }- Stream completed
null
- Error
null
Wire excerpt
status: 200
content-type: application/json
body (json):
{
"id": "msg_01Aq9w938a90dw8q",
"type": "message",
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "",
"signature": "EqQBCgIYAhIM1gbcDa9GJwZA2b3hGgxBdjrkzLoky3dl1pkiMOYds..."
}
],
"model": "claude-sonnet-5-5",
"stop_reason": "max_tokens",
"stop_sequence": null,
"stop_details": null,
"usage": {
"input_tokens": 25,
"output_tokens": 64,
"output_tokens_details": {
"thinking_tokens": 64
}
}
}What the library reported
- Outcome
- raised
- Finish
{ "raw": "max_tokens", "source": "ModelResponse.finish_reason", "surface": "raw", "value": "length" }- Text
- Value
null
- Surface
- absent
- Tool calls
[]
- Usage
{ "cached_input": 0, "input": 25, "output": 64, "reasoning": 64, "surface": { "cached_input": "raw", "input": "raw", "output": "raw", "reasoning": "raw", "total": "raw" }, "total": 89 }- 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": 280.19834589213133,
"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": "max_tokens",
"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": 25,
"output": 64,
"reasoning": 64,
"surface": {
"cached_input": "raw",
"input": "raw",
"output": "raw",
"reasoning": "raw",
"total": "raw"
},
"total": 89
}
}Fixture
documented anthropic/truncation.reasoning-only
| Provenance | Value |
|---|---|
| Source | https://platform.claude.com/docs/en/build-with-claude/thinking#controlling-thinking-display |
| Notes | Documented shapes, not a recording. Message envelope and stop fields follow handling-stop-reasons; content blocks follow thinking/streaming and handle-tool-calls. Model changed to claude-sonnet-5-5; IDs and scenario text are filled in. Token counts are illustrative, filled in to include thinking within the requested output limit, not measured. ASSUMED max_tokens envelope with exactly one omitted thinking block and no text. Empty thinking plus signature follows omitted display; signature is the literal streaming placeholder. The docs do not print this complete truncated response. The output_tokens_details.thinking_tokens breakdown follows thinking-steering.md (https://platform.claude.com/docs/en/build-with-claude/thinking-steering-and-cost#pricing); the thinking count of 64 is filled in, not measured. |
Reproduce
wiretruth serve anthropic/truncation.reasoning-onlyPlain-library snippet from the shim manifest.
AnthropicModel(model, provider=AnthropicProvider(base_url=WIRETRUTH_BASE_URL_ANTHROPIC, api_key=WIRETRUTH_API_KEY)); host rootUpstream
No matching upstream report.
History
| Version | Grade |
|---|---|
| 2.61.0 | ✓ PASS |
| 2.56.0 | ✓ PASS |