Summary
When a custom provider of type: "anthropic" is configured with max_prompt_tokens, the SDK does not appear to enforce that budget. A long-running session keeps accumulating transcript until the request exceeds the model's context window and the provider rejects it with HTTP 400 -- after which the session is permanently unusable.
Configuration
The provider is created on every session create/resume with an explicit prompt budget:
{
"type": "anthropic",
"base_url": "...",
"model_id": "claude-sonnet-5",
"max_output_tokens": 32768,
"max_prompt_tokens": 967232
}
max_prompt_tokens is derived as context_window (1,000,000) - max_output_tokens (32,768) = 967,232.
Expected
The SDK compacts (or otherwise bounds the prompt) before crossing max_prompt_tokens = 967232.
Actual
The transcript grew unbounded to 1,001,142 tokens -- 33,910 past the configured budget, and past the model's 1,000,000 hard limit:
400 invalid_request_error
"prompt is too long: 1001142 tokens > 1000000 maximum"
The session had run ~18 successful turns over ~3 hours, with the serialized request growing steadily (~1.98 MB -> ~2.04 MB) before crossing the limit. Tool count was constant throughout, so the growth is accumulated conversation history rather than tool schemas.
Two additional observations
-
infinite_sessions thresholds also appear inert on this path. background_compaction_threshold / buffer_exhaustion_threshold are sent on every turn but appear to have no effect for the anthropic provider (they do take effect on the Copilot backend path). So neither the threshold-based compaction nor the max_prompt_tokens budget bounded the transcript.
-
The session actively degrades after the first failure. Once over the limit, continued turns keep appending to the transcript -- request size grew from ~2.044 MB to ~2.065 MB across ~30 consecutive failed turns. There is no back-off, trim, or compaction triggered by the 400, so the session can never self-recover; every subsequent turn fails immediately (~1.5s vs. the 38s first failure).
Impact
Every turn in an affected session fails permanently. The only recovery is to start a new session, and nothing in the surfaced error indicates that to the user. Because the failure is a deterministic 400, retry suppression correctly kicks in -- but that just means the session is durably wedged.
Environment
- SDK 1.0.7 / Copilot CLI 1.0.71
- Custom
anthropic provider over an OpenAI-incompatible relay endpoint
- Model
claude-sonnet-5 (1,000,000-token context window)
Ask
Should provider.max_prompt_tokens be enforced on the anthropic provider path (and/or should infinite_sessions compaction apply there)? If enforcement is intentionally backend-only today, it would help to document that clearly, since the field is accepted without warning and silently has no effect.
Summary
When a custom provider of
type: "anthropic"is configured withmax_prompt_tokens, the SDK does not appear to enforce that budget. A long-running session keeps accumulating transcript until the request exceeds the model's context window and the provider rejects it with HTTP 400 -- after which the session is permanently unusable.Configuration
The provider is created on every session create/resume with an explicit prompt budget:
{ "type": "anthropic", "base_url": "...", "model_id": "claude-sonnet-5", "max_output_tokens": 32768, "max_prompt_tokens": 967232 }max_prompt_tokensis derived ascontext_window (1,000,000) - max_output_tokens (32,768) = 967,232.Expected
The SDK compacts (or otherwise bounds the prompt) before crossing
max_prompt_tokens = 967232.Actual
The transcript grew unbounded to 1,001,142 tokens -- 33,910 past the configured budget, and past the model's 1,000,000 hard limit:
The session had run ~18 successful turns over ~3 hours, with the serialized request growing steadily (~1.98 MB -> ~2.04 MB) before crossing the limit. Tool count was constant throughout, so the growth is accumulated conversation history rather than tool schemas.
Two additional observations
infinite_sessionsthresholds also appear inert on this path.background_compaction_threshold/buffer_exhaustion_thresholdare sent on every turn but appear to have no effect for theanthropicprovider (they do take effect on the Copilot backend path). So neither the threshold-based compaction nor themax_prompt_tokensbudget bounded the transcript.The session actively degrades after the first failure. Once over the limit, continued turns keep appending to the transcript -- request size grew from ~2.044 MB to ~2.065 MB across ~30 consecutive failed turns. There is no back-off, trim, or compaction triggered by the 400, so the session can never self-recover; every subsequent turn fails immediately (~1.5s vs. the 38s first failure).
Impact
Every turn in an affected session fails permanently. The only recovery is to start a new session, and nothing in the surfaced error indicates that to the user. Because the failure is a deterministic 400, retry suppression correctly kicks in -- but that just means the session is durably wedged.
Environment
anthropicprovider over an OpenAI-incompatible relay endpointclaude-sonnet-5(1,000,000-token context window)Ask
Should
provider.max_prompt_tokensbe enforced on theanthropicprovider path (and/or shouldinfinite_sessionscompaction apply there)? If enforcement is intentionally backend-only today, it would help to document that clearly, since the field is accepted without warning and silently has no effect.