- Added ZAI GLM-5.2 reasoning-effort mapping, translating minimal to none and xhigh to max.
- Enabled ZAI and zhipu GLM-5.2 completion requests to send reasoning_effort and tool_stream.
- Added provider token clamping so GLM-5.2 completion requests use capped max_tokens.
- Updated catalog policies to route GLM-5.2 max-token and reasoning support through ZAI/zhipu hosts.
- Removed synthetic HF model entries and aligned GLM-5.2 catalog specs with real providers.
Fixes#2833
- Renamed ToolCallSyntax type to Dialect and Grammar interface to DialectDefinition across all packages.
- Moved grammar directory to dialect and updated all import paths in agent, ai, catalog, and coding-agent packages.
- Added renderTranscript and renderThinking methods to DialectDefinition, enabling native dialect-aware conversation serialization.
- Consolidated rendering utilities into new dialect/rendering.ts with shared helpers for ChatML, legacy text, and dialect-specific formatting.
- Updated conversation serialization in agent and coding-agent to use dialect.renderTranscript() for native turn envelope rendering.
- Added Gemini and Gemma syntax routing by model family and owned syntax env values.
- Added Gemini and Gemma in-band parsers for tool_code and token-based tool_call streams.
- Added rendering support for Gemini fenced tool_code/tool_outputs and Gemma tool tokens.
- Fixed parsing edge cases for comments, string escapes, nested args, and truncated blocks.
- Updated default model identifiers across many catalog providers to newer model versions.
- Renamed a couple OpenAI compatibility provider descriptors, including Together and Zhipu coding-plan identifiers.
- Added multiple new OpenAI-compatible specialized provider descriptors for additional model provider families.
- Added `azure` provider registration in the AI registry with API key env mapping.
- Added Azure provider descriptors with default model `gpt-4o` and catalog discovery metadata.
- Enabled Azure-specific OpenAI compatibility for developer roles and strict responses pairing.
- Added Azure models namespace using OpenAI-family IDs with `models.dev` filtering and responses transport.
- Added model-to-syntax mapping in catalog with preferred tool-call syntax API.
- Added `ToolExample` typing and `ToolCallSyntax` exports across tool/grammar interfaces.
- Added syntax-aware tool example rendering through provider-specific grammar invocations.
- Added `exampleSyntax` context flow and example metadata so rendered prompts include examples.
- Added optional Agent and SDK tool-call syntax controls (`toolCallSyntax`, `PI_OWNED_TOOLS`) for owned calls.
- Added in-band grammar scanners and renderers for Anthropic, DeepSeek, GLM, Hermes, Kimi, PI, and Qwen3.
- Added supportsTools propagation and model schema updates to route unsupported models to fallback syntax.
- Replaced stream-markup parsing with syntax-specific in-band scanners and event conversion.
- Added --recover CLI option to rebuild changelog fixes from tagged history.
- Pruned Unreleased bullets that match historical released items across all tags.
- Normalized output by sorting release sections by version and compacting bullet spacing.
Pinned MiniMax-M3 contextWindow to 1,000,000 for the minimax and minimax-cn bundled catalog entries during generation.
Added policy and bundled catalog regression coverage while leaving MiniMax coding-plan providers on upstream limits.
Fixes#2576
Rebasing onto current main landed both the coding-agent and catalog
vLLM entries under the released [15.12.6] section. Per AGENTS.md, new
entries go under [Unreleased] and released sections are immutable, so
the release tooling would otherwise miss them.
Addresses review feedback on #2451.
Read vLLM max_model_len and OpenAI-compatible context_length metadata during model discovery, route providers.vllm.baseUrl into built-in discovery before cached models exist, and avoid sending local placeholder bearer tokens.
Scope the vLLM model cache to the discovery base URL so endpoint changes refetch immediately, and add focused regression coverage for configured and built-in vLLM discovery.
modelFamilyToken's fallback chain checked kimi/qwen/minimax/gpt-oss/
deepseek/mimo but omitted GLM, even though parseGlmModel is already
imported here and GLM is a first-class catalog family. GLM ids fell
through to "", so ctx.models.family() split same-lineage provider
mirrors (zai/glm-5.2 vs zhipu-coding-plan/glm-5.2) by provider instead
of folding them. Add the GLM check plus a cross-mirror regression test.
The mandated fmt pass over this file also wraps the ./classify import,
which the PR's added parseKnownModel pushed to 122 cols (biome lineWidth
is 120 -> would otherwise fail `biome check` in CI).
Addresses review feedback on #2410.
Followed AGENTS.md by importing the catalog model-spec types from @oh-my-pi/pi-catalog/types in the issue #2558 regression. The Context/Tool/TJsonSchema signatures used by streamAnthropic still come from pi-ai.
Replaced the issue #2558 regression's bundled github-copilot model lookup with a minimal ModelSpec resolved through buildModel, so the coverage exercises the Anthropic compat resolver without depending on generated models.json retaining a specific Copilot SKU.
GitHub Copilot's Anthropic-compatible proxy (api.githubcopilot.com/v1/messages) validates tool definitions with additionalProperties: false and rejected every tool-bearing turn with `400 tools.0.custom.eager_input_streaming: Extra inputs are not permitted`. The catalog's Anthropic compat builder defaulted supportsEagerToolInputStreaming to true for all hosts, so convertTools added the flag to every tool sent to Copilot.
Gate the flag on host in buildAnthropicCompat (false for github-copilot, matching the existing supportsLongCacheRetention: official pattern), and stop pushing the legacy fine-grained-tool-streaming-2025-05-14 beta header on the Copilot transport — the proxy doesn't whitelist Anthropic beta features either, so the fallback path would 400 too.
Fixes#2558
