feat: support ZAI token metadata, trigger compaction on idle sessions, add GLM system prompt#4710
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Implements comprehensive GLM (Zhipu AI) model integration: Core Features: - Add GLM model detection and routing in session system - Extract token counts from ZAI's Anthropic-compatible metadata structure - Add ZAI provider to auth menu (zai-coding-plan, GLM-4.7) - Create comprehensive GLM system prompt with strict engineering constraints Technical Changes: - packages/opencode/src/session/index.ts: Extract tokens from metadata when top-level usage is 0 - packages/opencode/src/session/system.ts: Route GLM models to specialized system prompt - packages/opencode/src/session/prompt/glm.txt: New rigorous system prompt with XML-structured constraints - packages/opencode/src/provider/provider.ts: Add zai-coding-plan loader - packages/opencode/src/provider/models.ts: Inject default ZAI provider definition - packages/opencode/src/cli/cmd/auth.ts: Add ZAI to provider priority list (1.5) Refs: Adapted from upstream PR anomalyco#4710 with enhanced system prompt engineering
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Closing this pull request because it has had no updates for more than 60 days. If you plan to continue working on it, feel free to reopen or open a new PR. |
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Summary
Fix token extraction for ZAI/Anthropic API, improve auto-compaction timing for idle sessions, and add dedicated system prompt for GLM-4.6 model.
Changes
Token Extraction Fix (
session/index.ts)metadata.anthropic.usageinstead of the top-levelusageobject, causing the sidebar to show 0 tokens.metadata.anthropic.usagewhen top-level values are missing/zero.inputTokens) and snake_case (input_tokens) field names.Compaction Timing Fix (
session/prompt.ts)hasPendingCompactionguard to prevent infinite loops when a compaction task is already queued.GLM System Prompt (
session/prompt/glm.txt)Added a dedicated system prompt optimized for GLM-4.6's capabilities:
anthropic.txtfor maintainability.Testing