* fix(typebox): migrate to v1 with extension compat
Replace AJV-based validation with TypeBox-native validation, keep legacy extension imports working (including @sinclair/typebox/compiler), and restore coercion for serialized/plain JSON schemas.
This change closes#3112.
* fix(typebox): use canonical imports and harden coercion
Switch first-party code to canonical typebox imports while retaining legacy extension aliases in the loader.
Remove obsolete runtime codegen guards, expand serialized JSON-schema coercion coverage, and update related tests and fixtures.
Fixes#3112.
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Co-authored-by: Mario Zechner <badlogicgames@gmail.com>
Replace the deprecated global anthropic-beta header with per-tool
eager_input_streaming: true. Fix empty anthropic-beta header causing
400 errors on models with no beta features.
fixes#3175
Bypass the Anthropic SDK streaming parser entirely. Use
client.messages.create().asResponse() and decode the SSE stream
ourselves with defensive JSON parsing that repairs invalid escape
sequences and control characters inside string literals.
- Switch from SDK .stream() to .asResponse() + pi-owned SSE decoder
- Add repairJson() / parseJsonWithRepair() to json-parse.ts
- Add anthropic-sse-parsing.test.ts regression for malformed tool deltas
- Update github-copilot-anthropic.test.ts mock to match new call path
- Update deprecated claude-3-5-haiku-20241022 refs to claude-haiku-4-5
- Remove stale non-reasoning model test
fixes#3175
* fix(ai): replace stale OpenRouter Llama 4 Maverick test model
- Switch OpenRouter Meta test model from `meta-llama/llama-4-maverick` to `meta-llama/llama-4-scout` in AI tests.
- CI failure body:
- packages/ai/test/context-overflow.test.ts(531,41): error TS2345: Argument of type "meta-llama/llama-4-maverick" is not assignable to parameter of type "...".
- packages/ai/test/total-tokens.test.ts(520,40): error TS2345: Argument of type "meta-llama/llama-4-maverick" is not assignable to parameter of type "...".
* chore(ai): add changelog entry for OpenRouter test model swap
- Add Unreleased Fixed entry for switching OpenRouter Meta test model to llama-4-scout
- Reference PR #3421 attribution
When model.maxTokens is 0 (unset/unknown), omit maxTokens from the
Bedrock ConverseStream inferenceConfig instead of sending 0.
Bedrock's inferenceConfig.maxTokens is optional — when omitted, the
model uses its own internal default. This is optimal for Bedrock's
token quota management:
- At request start, Bedrock reserves input_tokens + max_tokens from
your TPM quota
- For Claude 3.7+ models, output tokens have a 5x burndown rate
- Sending an unnecessarily high maxTokens wastes TPM capacity during
the reservation window, reducing concurrent request throughput
- Omitting it lets Bedrock use the model default (~4096 for Claude),
matching expected output sizes and maximizing quota utilization
Also applies the same conditional pattern to temperature — only
include it in inferenceConfig when explicitly set.
Changes:
- simple-options.ts: Use ?? instead of || so explicit 0 is preserved;
return undefined when model.maxTokens is 0 (unset)
- amazon-bedrock.ts: Spread maxTokens and temperature into
inferenceConfig only when defined
Fixes#3399
BedrockRuntimeClient was constructed without the endpoint option,
causing model.baseUrl to be silently ignored. This meant custom
Bedrock endpoints (VPC endpoints, proxy setups, custom routing)
were never used — requests always went to the default regional
endpoint.
Pass model.baseUrl as the endpoint config when set. When not set
(the default), the SDK falls back to the standard regional endpoint
constructed from the region config, preserving existing behavior.
Fixesopenclaw/openclaw#47899
