OpenAI retired the Assistants API on August 26, 2026, without an automatic tool to move old Threads into the Conversation objects that replace them. Teams that relied on managed threads now write that migration and set how much history each turn sends.
Reality
- Evidence30
- Adoption
- Insufficient
- Hype gap+20
- Incentives
- Insufficient
- Confidence35
OpenAI plans to shut down Agent Builder on November 30, 2026, so teams that built on it need another place to run their agent loops. The three OpenAI alternatives differ mainly in who runs that loop and who stores its state.
Reality
- Evidence40
- Adoption
- Insufficient
- Hype gap+5
- Incentives35
- Confidence40
OpenAI's Sign in with ChatGPT lets Plus and Pro users run an app's AI requests on their own plan, up to a weekly cap they set per app. That cap reserves none of the user's quota, so builders still need their own API key for any request the plan cannot cover.
Reality
- Evidence55
- Adoption30
- Hype gap+5
- Incentives30
- Confidence50
OpenAI's GPT-6.1 Sol halves old Sol's cache-read rate to $0.10 per million tokens and requires the Responses API for tool calls. In one worked example the cut saves about 10%, and older agents only get that saving after their tool and reasoning fields are rewritten.
Reality
- Evidence45
- Adoption
- Insufficient
- Hype gap0
- Incentives35
- Confidence50
Spring AI 2.0.1 ignores configured timeouts and kills any streaming turn longer than 60 seconds. The fix sits in 2.1.0-M1, a milestone built on Spring Boot 4.2.0-M2, so leaving the one-minute ceiling behind means running a pre-release stack.
Reality
- Evidence45
- Adoption
- Insufficient
- Hype gap+5
- Incentives
- Insufficient
- Confidence50
One developer's harness logged 9 file reads, 7 processes and 3 policy blocks from a code-review skill that declared no file or process access. Pass/fail scoring loses those attempts, so the harness grades each run from raw traces and canaries checked against the environment.
Reality
- Evidence30
- Adoption
- Insufficient
- Hype gap+10
- Incentives
- Insufficient
- Confidence35
OpenAI's guide names Sunburst for editing precision and Flare for speed, and both run from either API. The editing loop, File ID inputs and the action switch exist on the Responses side alone.
Perspective Coverage
7 publishers
- Builder
- Builder 62%
- Operator
- Operator 24%
- Investor
- Investor 14%
Reality
- Evidence76
- Adoption40
- Hype gap+10
- Incentives55
- Confidence74
OpenAI's guide prices reused input tokens at a discount of up to 90 percent. It also says cached key-value states sit on individual machines, so an unchanged prefix can still miss the cache when routing overflows.
Reality
- Evidence58
- Adoption
- Insufficient
- Hype gap+10
- Incentives75
- Confidence65
Codex batched two view_image calls and put a resize notice between their outputs. OpenAI's Responses API pairs items by call ID wherever they sit. DeepSeek's endpoint wants them adjacent, and returns the same 400 on every later message.
Reality
- Evidence62
- Adoption22
- Hype gap−8
- Incentives32
- Confidence58
The Unified Harness Protocol specifies how an application starts a task on an agent runtime, follows it, cancels it and collects the files, borrowing the shape of OpenAI's Responses API so existing streaming clients need no changes.
Publishers:unifiedharnessprotocol.org
Reality
- Evidence32
- Adoption
- Insufficient
- Hype gap+35
- Incentives62
- Confidence52
The Responses and Messages dialects specify tool declarations, streaming and reasoning knobs. A Java 21 library published to Maven Central at 0.18.0 argues the unspecified half is where retrieval, injection and veto actually live, and offers to host it in your own process.
Reality
- Evidence32
- Adoption10
- Hype gap+33
- Incentives88
- Confidence38
A single-box test on Ollama 0.34.0 shows a turn chained with previous_response_id coming back HTTP 200 and status completed at the same 41 input tokens as the same question sent with no history at all. The request struct has no field for the key.
Reality
- Evidence66
- Adoption26
- Hype gap−8
- Incentives22
- Confidence63
AWS's open harness records $0.0021 per correct AIME answer for gpt-5.6-luna after an 80 percent Bedrock price cut. The figure depends on running luna with reasoning disabled while mini runs at its defaults.
Reality
- Evidence58
- Adoption
- Insufficient
- Hype gap+15
- Incentives80
- Confidence55
OpenAI's create response reference is explicit that a chained request does not inherit earlier instructions, and because the field is optional, the turn that loses your JSON contract or your safety text still succeeds.
Reality
- Evidence58
- Adoption
- Insufficient
- Hype gap+6
- Incentives32
- Confidence54
Once the client-side contract is a URL and a bearer header, nothing in your config records what that key may write. The decision moved to the mint screen, which is the screen easiest to skip.
Reality
- Evidence32
- Adoption20
- Hype gap+15
- Incentives82
- Confidence48
Cross-Region inference for GPT-5.6 on Amazon Bedrock means capacity ceilings are now fixed by changing a profile prefix, not by changing models. The tradeoff is where your data gets processed.
Reality
- Evidence58
- Adoption20
- Hype gap+12
- Incentives86
- Confidence57
Progressive disclosure on a 20-tool agent saved about 30% of input tokens overall, but the per-task split shows cost stops being flat and starts tracking your traffic mix.
Reality
- Evidence63
- Adoption18
- Hype gap−5
- Incentives35
- Confidence58