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"description": "Jiva is a CLI-first, open source autonomous AI agent and open alternative to Claude. Written in TypeScript with native support for Sarvam-105B and gpt-oss-120b, it autonomously plans and executes tasks from your terminal. Supports MCP servers, a built-in Skills system, and Jiva Personas - a plugin framework fully compatible with Claude Plugins.",
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"body": "…models\n\n1. Conversation metadata for code-mode tasks. ConversationMetadata\n (unified into storage/types.ts — it was previously duplicated with\n a second, drifting copy in conversation-manager.ts, which is now\n just a re-export) gains mcpServers, maxIterations, and harness.\n harness is a fre\n[…]\n byte-for-byte\n identical. Verified end-to-end: replacing one section left the\n others untouched, and the zero-match/multiple-match error paths\n behave the same as the existing exact-match mode.",
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"headline": "Record code-mode task context; skeleton-first guidance for low-token …",
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"body": "…rough\n\nSarvam's standard plan caps requests at 40/min and output at 4096\ntokens. Two fixes, both model-agnostic (not Sarvam-specific):\n\n1. Proactive rate limiting — ModelClientConfig gains\n maxRequestsPerMinute. ModelClient tracks request timestamps in a\n trailing 60s window and waits BEFORE se\n[…]\nreal Sarvam endpoint to observe live\n429 behavior, but the provided test key had no credits\n(insufficient_quota_error) — implemented based on documented behavior\nand standard HTTP conventions instead.",
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"body": "Jiva's CLI config previously lived at a platform-specific location via\nthe conf package's default resolution (~/Library/Preferences/jiva-nodejs\non macOS, %APPDATA%/jiva-nodejs/Config on Windows, ~/.config/jiva-nodejs\non Linux) - a different file entirely from what the local (non-cloud)\nHTTP interfac\n[…]\nas\nauthoritative and migration is skipped on all subsequent runs.\n\nThe CLI prints the migration result on the next jiva invocation\n(console.log); the HTTP interface logs it via logger.warn on startup.",
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"body": "v0.3.49 added hasVision support for reasoning/tool-calling models, but\nthe CLI setup wizard never asked for it — the flag could only be set\nby hand-editing config.json.\n\nAdds src/utils/vision-detection.ts: matches a model name against known\nvision-capable model families (Llama 4 Maverick/Scout, Qwen\n[…]\nand tool-calling model setup flows, defaulting to the\ndetection result and showing the matched reason (e.g. 'Llama 4\nMaverick supports vision'). Also added a Vision: Yes/No line to\njiva config --show.",
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"body": "Covers the three fixes just cherry-picked onto develop: Manager\ndouble system-message crash on strict providers (Qwen3.6), CodeAgent\ngiving up early due to a compaction deadlock, and hasVision support\nfor reasoning/tool-calling models with native vision.",
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"headline": "Bump version to 0.3.49, add release notes",
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"body": "…ations\n\nRoot cause: in-loop context compaction was gated on the response having\ntool calls (`response.toolCalls && response.toolCalls.length > 0`).\nThis created a deadlock — once the model starts returning truly empty\nresponses (no content, no tool calls), that gate can never be true\nagain, so cont\n[…]\nlem on the next attempt. CodeAgent now forces an immediate\n compaction in that case (bypassing the normal token threshold) and\n uses a shorter, more direct recovery nudge instead of the generic one.",
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"body": "…te multimodal model\n\nSome providers (e.g. Groq's llama-4-maverick, Krutrim's vision-enabled\nmodels) offer a single model that handles both reasoning and vision,\nmaking the separate dedicated multimodal-model configuration and its\nimage-captioning detour unnecessary and wasteful for those setups.\n\nA\n[…]\n delegate entirely to\nModelOrchestrator.chat()/chatWithFallback(), so fixing routing at the\norchestrator is sufficient for both to pick up native vision support\nwith no changes needed in either agent.",
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"headline": "Fix Manager double system-message on providers requiring a single lea…",
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"body": "Built-in Benchmarking Suite",
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"headline": "Merge pull request #53 from KarmaloopAI/develop",
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"body": "…onfiguration works with Jiva",
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"headline": "Built-in Benchmarking suite to quickly test out how well your model c…",
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"body": "…gle ADC support\n\n- Fix Groq 400 error when image-only tool results produce empty tool message content\n- Isolate manager synthesis from planning context to prevent JSON bleed-through\n- Add rawHarmonyContent to ModelResponse so Harmony providers see their own tokens in history\n- Parse Vertex AI Harmo\n[…]\nsession-manager\n- Fix model || defaultModel fallback in CLI model client construction\n- Bump default sub-agent maxIterations from 10 to 20\n- Rename JIVA_STORAGE_PROVIDER default from gcp to gcp-bucket",
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"headline": "Fix multimodal empty tool content, Harmony/Vertex AI parsing, and Goo…",
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"headline": "Merge pull request #50 from KarmaloopAI/develop",
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"headline": "v0.3.44 with Code Mode MCP, Skills in non-persona mode, and Sarvam-10…",
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"body": " - Implement TokenUsageSnapshot interface and token tracking infrastructure\n - Add tokenUsage to AgentResponse interface for tracking consumption\n - Update CodeAgent to capture and report token usage from orchestrator\n - Increase MAX_CONSECUTIVE_READS threshold from 5 to 15 to accommodate longer sessions\n - Add workspace directive support in conversation summarization for better context retention\n - Update agent configuration to include token tracking parameters",
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"headline": "feat: Add token tracking and usage monitoring to agent system",
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"headline": "- Evaluator Harness",
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"headline": "Merge pull request #47 from KarmaloopAI/develop",
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"headline": "Fixed security issue with Math.random() usage",
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"body": "- Stop feature enabled\n- Sarvam 105B a first class supported model",
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"headline": "- Conversation aware of it's type e.g. chat versus code",
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"body": "Model client:\n- New src/models/model-client.ts with ModelClientConfig / ModelClient /\n createModelClient — generic OpenAI-compatible client for any provider\n- krutrim.ts now re-exports the new names as deprecated aliases (no breaking change)\n- Fix reasoning_content field: normalise Groq (.reasoning\n[…]\nshown warning that it has no multimodal model\n- Krutrim: sets useHarmonyFormat=true, reasoningEffortStrategy=system_prompt\n- Groq/Sarvam: sets useHarmonyFormat=false, reasoningEffortStrategy=api_param",
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"headline": "refactor: rename KrutrimModel→ModelClient; provider-aware setup wizard",
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{
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{
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