LongCat-Flash-Thinking-2601: Official Chat Template, Tool Calling, and Reasoning-History Configuration
Configure the LongCat-Flash-Thinking-2601 chat template with an explicit reasoning-history field, run one research question with a retrieval tool, and check the trace separately from the answer.
Prepare
Research question, Reasoning history or an explicit empty history, Tool JSON schema, Retrieval result, Trace acceptance rules
Runtime
A service using the model tokenizer; tool schema, retrieval result, and trace logs must be capturable.
LongCat-Flash-Thinking-2601: Official SGLang/vLLM Deployment and MTP Configuration
Follow the official deployment notes to start MTP in SGLang or vLLM, hold concurrency and context constant, and measure first-token latency, generation speed, and tool-call parsing.
Prepare
Backend and version, GPU count and precision, Concurrency and context settings, Fixed test prompts, Latency and parsing logs
Runtime
GPU node, pinned SGLang/vLLM version, model weights, and MTP settings; a benchmark script is required.
LongCat-Flash-Thinking-2601: Heavy Thinking, Environmental Noise, and Agent Benchmarks
The technical report describes Heavy Thinking, search/tool use, and TIR-Agent experiments within custom tasks; it supports understanding the reported direction, not independent replication.
Evidence
Vendor report
Boundary
Does not support production completion or cross-model ranking; prompts, tool latency, and failure traces are not fully public.
LongCat-Flash-Thinking: API Alias Upgrade, Automatic Routing, and Service-Retirement Boundaries
The official Change Log records Flash-Chat API launches, upgrades, and retirement or migration points; it is useful for endpoint support checks, not answer quality.
Evidence
Editorial analysis
Boundary
Does not support quality, latency, or quota comparisons; no fixed request set, region, or repeat sample is provided.
LongCat-Flash-Thinking-2601: Initial Reading and Deployment Observations from the LocalLLaMA Community
A LocalLLaMA discussion covers agent capability and deployment expectations, useful for selecting hypotheses to test; it is not a reproducible benchmark.
Evidence
Personal experience
Boundary
Does not support a generalizable success rate or model rank; controls, fixed client, and complete logs are missing.