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v2.1.78 (+1,956 tokens)
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README.md
20
README.md
@ -34,7 +34,7 @@ Download it and try it out for free! **https://piebald.ai/**
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> [!important]
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> **NEW (January 23, 2026): We've added all of Claude Code's ~40 system reminders to this list—see [System Reminders](#system-reminders).**
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This repository contains an up-to-date list of all Claude Code's various system prompts and their associated token counts as of **[Claude Code v2.1.77](https://www.npmjs.com/package/@anthropic-ai/claude-code/v/2.1.77) (March 16th, 2026).** It also contains a [**CHANGELOG.md**](./CHANGELOG.md) for the system prompts across 127 versions since v2.0.14. From the team behind [<img src="https://github.com/Piebald-AI/piebald/raw/main/assets/logo.svg" width="15"> **Piebald.**](https://piebald.ai/)
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This repository contains an up-to-date list of all Claude Code's various system prompts and their associated token counts as of **[Claude Code v2.1.78](https://www.npmjs.com/package/@anthropic-ai/claude-code/v/2.1.78) (March 17th, 2026).** It also contains a [**CHANGELOG.md**](./CHANGELOG.md) for the system prompts across 128 versions since v2.0.14. From the team behind [<img src="https://github.com/Piebald-AI/piebald/raw/main/assets/logo.svg" width="15"> **Piebald.**](https://piebald.ai/)
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**This repository is updated within minutes of each Claude Code release. See the [changelog](./CHANGELOG.md), and follow [@PiebaldAI](https://x.com/PiebaldAI) on X for a summary of the system prompt changes in each release.**
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@ -102,6 +102,7 @@ Sub-agents and utilities.
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- [Agent Prompt: Common suffix (response format)](./system-prompts/agent-prompt-common-suffix-response-format.md) (**188** tks) - Appends response format instructions to agent prompts, switching between concise sub-agent reporting and detailed standalone writeups based on a caller flag.
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- [Agent Prompt: Conversation summarization](./system-prompts/agent-prompt-conversation-summarization.md) (**956** tks) - System prompt for creating detailed conversation summaries.
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- [Agent Prompt: Determine which memory files to attach](./system-prompts/agent-prompt-determine-which-memory-files-to-attach.md) (**218** tks) - Agent for determining which memory files to attach for the main agent.
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- [Agent Prompt: Dream memory consolidation](./system-prompts/agent-prompt-dream-memory-consolidation.md) (**706** tks) - Instructs an agent to perform a multi-phase memory consolidation pass — orienting on existing memories, gathering recent signal from logs and transcripts, merging updates into topic files, and pruning the index.
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- [Agent Prompt: Hook condition evaluator](./system-prompts/agent-prompt-hook-condition-evaluator.md) (**78** tks) - System prompt for evaluating hook conditions in Claude Code.
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- [Agent Prompt: Prompt Suggestion Generator v2](./system-prompts/agent-prompt-prompt-suggestion-generator-v2.md) (**296** tks) - V2 instructions for generating prompt suggestions for Claude Code.
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- [Agent Prompt: Quick PR creation](./system-prompts/agent-prompt-quick-pr-creation.md) (**806** tks) - Streamlined prompt for creating a commit and pull request with pre-populated context.
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@ -121,10 +122,10 @@ Sub-agents and utilities.
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The content of various template files embedded in Claude Code.
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- [Data: Agent SDK patterns — Python](./system-prompts/data-agent-sdk-patterns-python.md) (**2495** tks) - Python Agent SDK patterns including custom tools, hooks, subagents, MCP integration, and session resumption.
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- [Data: Agent SDK patterns — TypeScript](./system-prompts/data-agent-sdk-patterns-typescript.md) (**1250** tks) - TypeScript Agent SDK patterns including basic agents, hooks, subagents, and MCP integration.
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- [Data: Agent SDK reference — Python](./system-prompts/data-agent-sdk-reference-python.md) (**3104** tks) - Python Agent SDK reference including installation, quick start, custom tools via MCP, and hooks.
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- [Data: Agent SDK reference — TypeScript](./system-prompts/data-agent-sdk-reference-typescript.md) (**2921** tks) - TypeScript Agent SDK reference including installation, quick start, custom tools, and hooks.
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- [Data: Agent SDK patterns — Python](./system-prompts/data-agent-sdk-patterns-python.md) (**2656** tks) - Python Agent SDK patterns including custom tools, hooks, subagents, MCP integration, and session resumption.
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- [Data: Agent SDK patterns — TypeScript](./system-prompts/data-agent-sdk-patterns-typescript.md) (**1529** tks) - TypeScript Agent SDK patterns including basic agents, hooks, subagents, and MCP integration.
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- [Data: Agent SDK reference — Python](./system-prompts/data-agent-sdk-reference-python.md) (**3450** tks) - Python Agent SDK reference including installation, quick start, custom tools via MCP, and hooks.
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- [Data: Agent SDK reference — TypeScript](./system-prompts/data-agent-sdk-reference-typescript.md) (**3209** tks) - TypeScript Agent SDK reference including installation, quick start, custom tools, and hooks.
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- [Data: Claude API reference — C#](./system-prompts/data-claude-api-reference-c.md) (**4703** tks) - C# SDK reference including installation, client initialization, basic requests, streaming, and tool use.
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- [Data: Claude API reference — Go](./system-prompts/data-claude-api-reference-go.md) (**4341** tks) - Go SDK reference.
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- [Data: Claude API reference — Java](./system-prompts/data-claude-api-reference-java.md) (**4770** tks) - Java SDK reference including installation, client initialization, basic requests, streaming, and beta tool use.
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@ -158,7 +159,7 @@ Parts of the main system prompt.
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- [System Prompt: Analysis instructions for full compact prompt (full conversation)](./system-prompts/system-prompt-analysis-instructions-for-full-compact-prompt-full-conversation.md) (**182** tks) - System prompt for the analysis instructions. Part of the compaction instructions. Full conversation.
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- [System Prompt: Analysis instructions for full compact prompt (minimal and via feature flag)](./system-prompts/system-prompt-analysis-instructions-for-full-compact-prompt-minimal-and-via-feature-flag.md) (**157** tks) - System prompt for the analysis instructions. Part of the compaction instructions. Lean version - experimental.
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- [System Prompt: Analysis instructions for full compact prompt (recent messages)](./system-prompts/system-prompt-analysis-instructions-for-full-compact-prompt-recent-messages.md) (**178** tks) - System prompt for the analysis instructions. Part of the compaction instructions. Recent messages only.
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- [System Prompt: Auto mode](./system-prompts/system-prompt-auto-mode.md) (**188** tks) - Continuous task execution, akin to a background agent.
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- [System Prompt: Auto mode](./system-prompts/system-prompt-auto-mode.md) (**266** tks) - Continuous task execution, akin to a background agent.
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- [System Prompt: Censoring assistance with malicious activities](./system-prompts/system-prompt-censoring-assistance-with-malicious-activities.md) (**98** tks) - Guidelines for assisting with authorized security testing, defensive security, CTF challenges, and educational contexts while censoring requests for malicious activities.
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- [System Prompt: Chrome browser MCP tools](./system-prompts/system-prompt-chrome-browser-mcp-tools.md) (**156** tks) - Instructions for loading Chrome browser MCP tools via MCPSearch before use.
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- [System Prompt: Claude in Chrome browser automation](./system-prompts/system-prompt-claude-in-chrome-browser-automation.md) (**759** tks) - Instructions for using Claude in Chrome browser automation tools effectively.
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@ -177,7 +178,7 @@ Parts of the main system prompt.
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- [System Prompt: Doing tasks (read before modifying)](./system-prompts/system-prompt-doing-tasks-read-before-modifying.md) (**46** tks) - Read and understand existing code before suggesting modifications.
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- [System Prompt: Doing tasks (security)](./system-prompts/system-prompt-doing-tasks-security.md) (**67** tks) - Avoid introducing security vulnerabilities like injection, XSS, etc.
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- [System Prompt: Doing tasks (software engineering focus)](./system-prompts/system-prompt-doing-tasks-software-engineering-focus.md) (**104** tks) - Users primarily request software engineering tasks; interpret instructions in that context.
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- [System Prompt: Executing actions with care](./system-prompts/system-prompt-executing-actions-with-care.md) (**541** tks) - Instructions for executing actions carefully.
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- [System Prompt: Executing actions with care](./system-prompts/system-prompt-executing-actions-with-care.md) (**590** tks) - Instructions for executing actions carefully.
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- [System Prompt: Fork usage guidelines](./system-prompts/system-prompt-fork-usage-guidelines.md) (**339** tks) - Instructions for when to fork subagents and rules against reading fork output mid-flight or fabricating fork results.
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- [System Prompt: Git status](./system-prompts/system-prompt-git-status.md) (**97** tks) - System prompt for displaying the current git status at the start of the conversation.
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- [System Prompt: Hooks Configuration](./system-prompts/system-prompt-hooks-configuration.md) (**1493** tks) - System prompt for hooks configuration. Used for above Claude Code config skill.
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@ -189,7 +190,7 @@ Parts of the main system prompt.
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- [System Prompt: Insights suggestions](./system-prompts/system-prompt-insights-suggestions.md) (**748** tks) - Generates actionable suggestions including CLAUDE.md additions, features to try, and usage patterns.
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- [System Prompt: Learning mode (insights)](./system-prompts/system-prompt-learning-mode-insights.md) (**142** tks) - Instructions for providing educational insights when learning mode is active.
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- [System Prompt: Learning mode](./system-prompts/system-prompt-learning-mode.md) (**1042** tks) - Main system prompt for learning mode with human collaboration instructions.
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- [System Prompt: Memory system (private feedback)](./system-prompts/system-prompt-memory-system-private-feedback.md) (**112** tks) - Describes the private feedback memory type for storing user guidance and corrections, with instructions to check for contradictions against team feedback before saving.
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- [System Prompt: Memory description of user feedback](./system-prompts/system-prompt-memory-description-of-user-feedback.md) (**139** tks) - Describes the user feedback memory type that stores guidance about work approaches, emphasizing recording both successes and failures and checking for contradictions with team memories.
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- [System Prompt: One of six rules for using sleep command](./system-prompts/system-prompt-one-of-six-rules-for-using-sleep-command.md) (**23** tks) - One of the six rules for using the sleep command.
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- [System Prompt: Option previewer](./system-prompts/system-prompt-option-previewer.md) (**151** tks) - System prompt for previewing UI options in a side-by-side layout.
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- [System Prompt: Output efficiency](./system-prompts/system-prompt-output-efficiency.md) (**177** tks) - Instructs Claude to be concise and direct in text output, leading with answers over reasoning and limiting responses to essential information.
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@ -202,7 +203,6 @@ Parts of the main system prompt.
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- [System Prompt: Team memory content display](./system-prompts/system-prompt-team-memory-content-display.md) (**52** tks) - Renders shared team memory file contents with path and content for injection into the conversation context.
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- [System Prompt: Teammate Communication](./system-prompts/system-prompt-teammate-communication.md) (**130** tks) - System prompt for teammate communication in swarm.
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- [System Prompt: Tone and style (code references)](./system-prompts/system-prompt-tone-and-style-code-references.md) (**39** tks) - Instruction to include file_path:line_number when referencing code.
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- [System Prompt: Tone and style (concise output — detailed)](./system-prompts/system-prompt-tone-and-style-concise-output-detailed.md) (**89** tks) - Instruction for concise, polished output without filler or inner monologue.
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- [System Prompt: Tone and style (concise output — short)](./system-prompts/system-prompt-tone-and-style-concise-output-short.md) (**16** tks) - Instruction for short and concise responses.
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- [System Prompt: Tool Use Summary Generation](./system-prompts/system-prompt-tool-use-summary-generation.md) (**171** tks) - Prompt for generating summaries of tool usage.
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- [System Prompt: Tool execution denied](./system-prompts/system-prompt-tool-execution-denied.md) (**144** tks) - System prompt for when tool execution is denied.
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@ -350,7 +350,7 @@ Built-in skill prompts for specialized tasks.
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- [Skill: /loop slash command](./system-prompts/skill-loop-slash-command.md) (**1033** tks) - Parses user input into an interval and prompt, converts the interval to a cron expression, and schedules a recurring task.
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- [Skill: /stuck slash command](./system-prompts/skill-stuck-slash-command.md) (**964** tks) - Diagnozse frozen or slow Claude Code sessions.
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- [Skill: Build with Claude API (reference guide)](./system-prompts/skill-build-with-claude-api-reference-guide.md) (**410** tks) - Template for presenting language-specific reference documentation with quick task navigation.
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- [Skill: Build with Claude API](./system-prompts/skill-build-with-claude-api.md) (**5144** tks) - Main routing guide for building LLM-powered applications with Claude, including language detection, surface selection, and architecture overview.
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- [Skill: Build with Claude API](./system-prompts/skill-build-with-claude-api.md) (**5255** tks) - Main routing guide for building LLM-powered applications with Claude, including language detection, surface selection, and architecture overview.
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- [Skill: Create verifier skills](./system-prompts/skill-create-verifier-skills.md) (**2625** tks) - Prompt for creating verifier skills for the Verify agent to automatically verify code changes.
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- [Skill: Debugging](./system-prompts/skill-debugging.md) (**412** tks) - Instructions for debugging an issue that the user is encountering in the Claude Code session.
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- [Skill: Simplify](./system-prompts/skill-simplify.md) (**822** tks) - Instructions for simplifying code.
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66
system-prompts/agent-prompt-dream-memory-consolidation.md
Normal file
66
system-prompts/agent-prompt-dream-memory-consolidation.md
Normal file
@ -0,0 +1,66 @@
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<!--
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name: 'Agent Prompt: Dream memory consolidation'
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description: Instructs an agent to perform a multi-phase memory consolidation pass — orienting on existing memories, gathering recent signal from logs and transcripts, merging updates into topic files, and pruning the index
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ccVersion: 2.1.78
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variables:
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- MEMORY_DIR
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- MEMORY_DIR_CONTEXT
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- TRANSCRIPTS_DIR
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- INDEX_FILE
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- INDEX_MAX_LINES
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- ADDITIONAL_CONTEXT
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-->
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# Dream: Memory Consolidation
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You are performing a dream — a reflective pass over your memory files. Synthesize what you've learned recently into durable, well-organized memories so that future sessions can orient quickly.
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Memory directory: \`${MEMORY_DIR}\`
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${MEMORY_DIR_CONTEXT}
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Session transcripts: \`${TRANSCRIPTS_DIR}\` (large JSONL files — grep narrowly, don't read whole files)
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---
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## Phase 1 — Orient
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- \`ls\` the memory directory to see what already exists
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- Read \`${INDEX_FILE}\` to understand the current index
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- Skim existing topic files so you improve them rather than creating duplicates
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- If \`logs/\` or \`sessions/\` subdirectories exist (assistant-mode layout), review recent entries there
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## Phase 2 — Gather recent signal
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Look for new information worth persisting. Sources in rough priority order:
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1. **Daily logs** (\`logs/YYYY/MM/YYYY-MM-DD.md\`) if present — these are the append-only stream
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2. **Existing memories that drifted** — facts that contradict something you see in the codebase now
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3. **Transcript search** — if you need specific context (e.g., "what was the error message from yesterday's build failure?"), grep the JSONL transcripts for narrow terms:
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\`grep -rn "<narrow term>" ${TRANSCRIPTS_DIR}/ --include="*.jsonl" | tail -50\`
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Don't exhaustively read transcripts. Look only for things you already suspect matter.
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## Phase 3 — Consolidate
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For each thing worth remembering, write or update a memory file at the top level of the memory directory. Use the memory file format and type conventions from your system prompt's auto-memory section — it's the source of truth for what to save, how to structure it, and what NOT to save.
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Focus on:
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- Merging new signal into existing topic files rather than creating near-duplicates
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- Converting relative dates ("yesterday", "last week") to absolute dates so they remain interpretable after time passes
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- Deleting contradicted facts — if today's investigation disproves an old memory, fix it at the source
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## Phase 4 — Prune and index
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Update \`${INDEX_FILE}\` so it stays under ${INDEX_MAX_LINES} lines. It's an **index**, not a dump — link to memory files with one-line descriptions. Never write memory content directly into it.
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- Remove pointers to memories that are now stale, wrong, or superseded
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- Demote verbose entries: keep the gist in the index, move the detail into the topic file
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- Add pointers to newly important memories
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- Resolve contradictions — if two files disagree, fix the wrong one
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---
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Return a brief summary of what you consolidated, updated, or pruned. If nothing changed (memories are already tight), say so.${ADDITIONAL_CONTEXT?`
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## Additional context
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${ADDITIONAL_CONTEXT}`:""}
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@ -1,7 +1,7 @@
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<!--
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name: 'Data: Agent SDK patterns — Python'
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description: Python Agent SDK patterns including custom tools, hooks, subagents, MCP integration, and session resumption
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ccVersion: 2.1.73
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ccVersion: 2.1.78
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-->
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# Agent SDK Patterns — Python
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@ -316,6 +316,28 @@ if sessions:
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---
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## Session Mutations
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\`\`\`python
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from claude_agent_sdk import rename_session, tag_session
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session_id = "your-session-id"
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# Rename a session
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rename_session(session_id=session_id, title="Refactoring auth module")
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# Tag a session for filtering
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tag_session(session_id=session_id, tag="experiment-v2")
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# Clear a tag
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tag_session(session_id=session_id, tag=None)
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# Scope to a specific project directory
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rename_session(session_id=session_id, title="New title", directory="/path/to/project")
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\`\`\`
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---
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## Custom System Prompt
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\`\`\`python
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@ -1,7 +1,7 @@
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<!--
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name: 'Data: Agent SDK patterns — TypeScript'
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description: TypeScript Agent SDK patterns including basic agents, hooks, subagents, and MCP integration
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ccVersion: 2.1.71
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ccVersion: 2.1.78
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-->
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# Agent SDK Patterns — TypeScript
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@ -136,13 +136,19 @@ for await (const message of query({
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## Session History
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\`\`\`typescript
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import { listSessions, getSessionMessages } from "@anthropic-ai/claude-agent-sdk";
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import { listSessions, getSessionMessages, getSessionInfo } from "@anthropic-ai/claude-agent-sdk";
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async function main() {
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// List past sessions
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// List past sessions (supports pagination via limit/offset)
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const sessions = await listSessions();
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for (const session of sessions) {
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console.log(\`Session \${session.sessionId} in \${session.cwd}\`);
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console.log(\`Session \${session.sessionId} in \${session.cwd} (tag: \${session.tag})\`);
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}
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// Get metadata for a single session
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if (sessions.length > 0) {
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const info = await getSessionInfo(sessions[0].sessionId);
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console.log(\`Created: \${info.createdAt}, Tag: \${info.tag}\`);
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}
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// Retrieve messages from the most recent session
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@ -159,6 +165,33 @@ main();
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---
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## Session Mutations
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\`\`\`typescript
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import { renameSession, tagSession, forkSession } from "@anthropic-ai/claude-agent-sdk";
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async function main() {
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const sessionId = "your-session-id";
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// Rename a session
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await renameSession(sessionId, "Refactoring auth module");
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// Tag a session for filtering
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await tagSession(sessionId, "experiment-v2");
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// Clear a tag
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await tagSession(sessionId, null);
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// Fork a conversation to branch from a point
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const { sessionId: forkedId } = await forkSession(sessionId);
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console.log(\`Forked session: \${forkedId}\`);
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}
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main();
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\`\`\`
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---
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## Custom System Prompt
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\`\`\`typescript
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@ -1,7 +1,7 @@
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<!--
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name: 'Data: Agent SDK reference — Python'
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description: Python Agent SDK reference including installation, quick start, custom tools via MCP, and hooks
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ccVersion: 2.1.73
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ccVersion: 2.1.78
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-->
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# Agent SDK — Python
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@ -225,6 +225,18 @@ Typed task message subclasses are available for better type safety when handling
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- \`TaskProgressMessage\` — real-time progress updates with cumulative usage metrics
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- \`TaskNotificationMessage\` — task completion notifications
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\`RateLimitEvent\` is emitted when the rate limit status transitions (e.g., from \`allowed\` to \`allowed_warning\` or \`rejected\`). Use it to warn users or back off gracefully:
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\`\`\`python
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from claude_agent_sdk import query, ClaudeAgentOptions, RateLimitEvent
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async for message in query(prompt="...", options=ClaudeAgentOptions()):
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if isinstance(message, RateLimitEvent):
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print(f"Rate limit status: {message.rate_limit_info.status}")
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if message.rate_limit_info.resets_at:
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print(f"Resets at: {message.rate_limit_info.resets_at}")
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\`\`\`
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---
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## Subagents
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@ -289,6 +301,26 @@ for msg in messages:
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print(msg)
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\`\`\`
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### Session Mutations
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|
||||
Rename or tag sessions (sync functions — no await):
|
||||
|
||||
\`\`\`python
|
||||
from claude_agent_sdk import rename_session, tag_session
|
||||
|
||||
# Rename a session
|
||||
rename_session(session_id="...", title="My refactoring session")
|
||||
|
||||
# Tag a session (tags are Unicode-sanitized automatically)
|
||||
tag_session(session_id="...", tag="experiment")
|
||||
|
||||
# Clear a tag
|
||||
tag_session(session_id="...", tag=None)
|
||||
|
||||
# Optionally scope to a specific project directory
|
||||
rename_session(session_id="...", title="New title", directory="/path/to/project")
|
||||
\`\`\`
|
||||
|
||||
---
|
||||
|
||||
## MCP Server Management
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Agent SDK reference — TypeScript'
|
||||
description: TypeScript Agent SDK reference including installation, quick start, custom tools, and hooks
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Agent SDK — TypeScript
|
||||
|
||||
@ -176,6 +176,7 @@ query({ prompt: "...", options: { ... } })
|
||||
| \`betas\` | array | Beta features to enable (e.g., \`["context-1m-2025-08-07"]\`) |
|
||||
| \`settingSources\` | array | Settings to load (e.g., \`["project"]\`). Default: none (no CLAUDE.md files) |
|
||||
| \`env\` | object | Environment variables to set for the session |
|
||||
| \`agentProgressSummaries\` | bool | Enable periodic AI-generated progress summaries on \`task_progress\` events |
|
||||
|
||||
---
|
||||
|
||||
@ -219,7 +220,7 @@ for await (const message of query({
|
||||
|
||||
Task-related system messages are also emitted for subagent operations:
|
||||
- \`task_started\` — emitted when a subagent task is registered
|
||||
- \`task_progress\` — real-time progress updates with cumulative usage metrics, tool counts, and duration
|
||||
- \`task_progress\` — real-time progress updates with cumulative usage metrics, tool counts, and duration (enable \`agentProgressSummaries\` option for periodic AI-generated summaries via the \`summary\` field)
|
||||
- \`task_notification\` — task completion notifications (includes \`tool_use_id\` for correlating with originating tool calls)
|
||||
|
||||
---
|
||||
@ -229,14 +230,19 @@ Task-related system messages are also emitted for subagent operations:
|
||||
Retrieve past session data:
|
||||
|
||||
\`\`\`typescript
|
||||
import { listSessions, getSessionMessages } from "@anthropic-ai/claude-agent-sdk";
|
||||
import { listSessions, getSessionMessages, getSessionInfo } from "@anthropic-ai/claude-agent-sdk";
|
||||
|
||||
// List all past sessions
|
||||
const sessions = await listSessions();
|
||||
// List all past sessions (supports pagination via limit/offset)
|
||||
const sessions = await listSessions({ limit: 20, offset: 0 });
|
||||
for (const session of sessions) {
|
||||
console.log(\`\${session.sessionId}: \${session.cwd}\`);
|
||||
console.log(\`\${session.sessionId}: \${session.cwd} (tag: \${session.tag})\`);
|
||||
}
|
||||
|
||||
// Get metadata for a single session
|
||||
const sessionId = sessions[0]?.sessionId;
|
||||
const info = await getSessionInfo(sessionId);
|
||||
console.log(info.tag, info.createdAt);
|
||||
|
||||
// Get messages from a specific session (supports pagination via limit/offset)
|
||||
const messages = await getSessionMessages(sessionId, { limit: 50, offset: 0 });
|
||||
for (const msg of messages) {
|
||||
@ -244,6 +250,26 @@ for (const msg of messages) {
|
||||
}
|
||||
\`\`\`
|
||||
|
||||
### Session Mutations
|
||||
|
||||
Rename, tag, or fork sessions:
|
||||
|
||||
\`\`\`typescript
|
||||
import { renameSession, tagSession, forkSession } from "@anthropic-ai/claude-agent-sdk";
|
||||
|
||||
// Rename a session
|
||||
await renameSession(sessionId, "My refactoring session");
|
||||
|
||||
// Tag a session
|
||||
await tagSession(sessionId, "experiment");
|
||||
|
||||
// Clear a tag
|
||||
await tagSession(sessionId, null);
|
||||
|
||||
// Fork a session — branch a conversation from a specific point
|
||||
const { sessionId: forkedId } = await forkSession(sessionId);
|
||||
\`\`\`
|
||||
|
||||
---
|
||||
|
||||
## MCP Server Management
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Claude API reference — C#'
|
||||
description: C# SDK reference including installation, client initialization, basic requests, streaming, and tool use
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Claude API — C#
|
||||
|
||||
@ -37,7 +37,7 @@ using Anthropic.Models.Messages;
|
||||
var parameters = new MessageCreateParams
|
||||
{
|
||||
Model = Model.ClaudeOpus4_6,
|
||||
MaxTokens = 1024,
|
||||
MaxTokens = 16000,
|
||||
Messages = [new() { Role = Role.User, Content = "What is the capital of France?" }]
|
||||
};
|
||||
var response = await client.Messages.Create(parameters);
|
||||
@ -61,7 +61,7 @@ using Anthropic.Models.Messages;
|
||||
var parameters = new MessageCreateParams
|
||||
{
|
||||
Model = Model.ClaudeOpus4_6,
|
||||
MaxTokens = 1024,
|
||||
MaxTokens = 64000,
|
||||
Messages = [new() { Role = Role.User, Content = "Write a haiku" }]
|
||||
};
|
||||
|
||||
@ -132,7 +132,7 @@ using Anthropic.Models.Messages;
|
||||
var parameters = new MessageCreateParams
|
||||
{
|
||||
Model = Model.ClaudeSonnet4_6,
|
||||
MaxTokens = 1024,
|
||||
MaxTokens = 16000,
|
||||
Tools = [
|
||||
new Tool {
|
||||
Name = "get_weather",
|
||||
@ -237,7 +237,7 @@ using Anthropic.Models.Beta.Messages;
|
||||
var betaParams = new MessageCreateParams // no Beta prefix — one of only 2 unprefixed
|
||||
{
|
||||
Model = Model.ClaudeOpus4_6,
|
||||
MaxTokens = 1024,
|
||||
MaxTokens = 16000,
|
||||
Betas = ["compact-2026-01-12"],
|
||||
ContextManagement = new BetaContextManagementConfig
|
||||
{
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Claude API reference — cURL'
|
||||
description: Raw API reference for Claude API for use with cURL or else Raw HTTP
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Claude API — cURL / Raw HTTP
|
||||
|
||||
@ -24,7 +24,7 @@ curl https://api.anthropic.com/v1/messages \\
|
||||
-H "anthropic-version: 2023-06-01" \\
|
||||
-d '{
|
||||
"model": "{{OPUS_ID}}",
|
||||
"max_tokens": 1024,
|
||||
"max_tokens": 16000,
|
||||
"messages": [
|
||||
{"role": "user", "content": "What is the capital of France?"}
|
||||
]
|
||||
@ -43,7 +43,7 @@ response=$(curl -s https://api.anthropic.com/v1/messages \\
|
||||
-H "Content-Type: application/json" \\
|
||||
-H "x-api-key: $ANTHROPIC_API_KEY" \\
|
||||
-H "anthropic-version: 2023-06-01" \\
|
||||
-d '{"model":"{{OPUS_ID}}","max_tokens":1024,"messages":[{"role":"user","content":"Hello"}]}')
|
||||
-d '{"model":"{{OPUS_ID}}","max_tokens":16000,"messages":[{"role":"user","content":"Hello"}]}')
|
||||
|
||||
# Print the first text block (-r strips the JSON quotes)
|
||||
echo "$response" | jq -r '.content[0].text'
|
||||
@ -71,7 +71,7 @@ curl https://api.anthropic.com/v1/messages \\
|
||||
-H "anthropic-version: 2023-06-01" \\
|
||||
-d '{
|
||||
"model": "{{OPUS_ID}}",
|
||||
"max_tokens": 1024,
|
||||
"max_tokens": 64000,
|
||||
"stream": true,
|
||||
"messages": [{"role": "user", "content": "Write a haiku"}]
|
||||
}'
|
||||
@ -110,7 +110,7 @@ curl https://api.anthropic.com/v1/messages \\
|
||||
-H "anthropic-version: 2023-06-01" \\
|
||||
-d '{
|
||||
"model": "{{OPUS_ID}}",
|
||||
"max_tokens": 1024,
|
||||
"max_tokens": 16000,
|
||||
"tools": [{
|
||||
"name": "get_weather",
|
||||
"description": "Get current weather for a location",
|
||||
@ -135,7 +135,7 @@ curl https://api.anthropic.com/v1/messages \\
|
||||
-H "anthropic-version: 2023-06-01" \\
|
||||
-d '{
|
||||
"model": "{{OPUS_ID}}",
|
||||
"max_tokens": 1024,
|
||||
"max_tokens": 16000,
|
||||
"tools": [{
|
||||
"name": "get_weather",
|
||||
"description": "Get current weather for a location",
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Claude API reference — Go'
|
||||
description: Go SDK reference
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Claude API — Go
|
||||
|
||||
@ -37,7 +37,7 @@ client := anthropic.NewClient(
|
||||
\`\`\`go
|
||||
response, err := client.Messages.New(context.Background(), anthropic.MessageNewParams{
|
||||
Model: anthropic.ModelClaudeOpus4_6,
|
||||
MaxTokens: 1024,
|
||||
MaxTokens: 16000,
|
||||
Messages: []anthropic.MessageParam{
|
||||
anthropic.NewUserMessage(anthropic.NewTextBlock("What is the capital of France?")),
|
||||
},
|
||||
@ -60,7 +60,7 @@ for _, block := range response.Content {
|
||||
\`\`\`go
|
||||
stream := client.Messages.NewStreaming(context.Background(), anthropic.MessageNewParams{
|
||||
Model: anthropic.ModelClaudeOpus4_6,
|
||||
MaxTokens: 1024,
|
||||
MaxTokens: 64000,
|
||||
Messages: []anthropic.MessageParam{
|
||||
anthropic.NewUserMessage(anthropic.NewTextBlock("Write a haiku")),
|
||||
},
|
||||
@ -139,7 +139,7 @@ runner := client.Beta.Messages.NewToolRunner(
|
||||
anthropic.BetaToolRunnerParams{
|
||||
BetaMessageNewParams: anthropic.BetaMessageNewParams{
|
||||
Model: anthropic.ModelClaudeOpus4_6,
|
||||
MaxTokens: 1024,
|
||||
MaxTokens: 16000,
|
||||
Messages: []anthropic.BetaMessageParam{
|
||||
anthropic.NewBetaUserMessage(anthropic.NewBetaTextBlock("What's the weather in Paris?")),
|
||||
},
|
||||
@ -215,7 +215,7 @@ func main() {
|
||||
for {
|
||||
resp, err := client.Messages.New(context.Background(), anthropic.MessageNewParams{
|
||||
Model: anthropic.ModelClaudeSonnet4_6,
|
||||
MaxTokens: 1024,
|
||||
MaxTokens: 16000,
|
||||
Messages: messages,
|
||||
Tools: tools,
|
||||
})
|
||||
@ -380,7 +380,7 @@ Use \`Beta.Messages.New\` with \`ContextManagement\` on \`BetaMessageNewParams\`
|
||||
\`\`\`go
|
||||
params := anthropic.BetaMessageNewParams{
|
||||
Model: anthropic.ModelClaudeOpus4_6, // also supported: ModelClaudeSonnet4_6
|
||||
MaxTokens: 1024,
|
||||
MaxTokens: 16000,
|
||||
Betas: []anthropic.AnthropicBeta{"compact-2026-01-12"},
|
||||
ContextManagement: anthropic.BetaContextManagementConfigParam{
|
||||
Edits: []anthropic.BetaContextManagementConfigEditUnionParam{
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Claude API reference — Java'
|
||||
description: Java SDK reference including installation, client initialization, basic requests, streaming, and beta tool use
|
||||
ccVersion: 2.1.77
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Claude API — Java
|
||||
|
||||
@ -15,14 +15,14 @@ Maven:
|
||||
<dependency>
|
||||
<groupId>com.anthropic</groupId>
|
||||
<artifactId>anthropic-java</artifactId>
|
||||
<version>2.16.0</version>
|
||||
<version>2.16.1</version>
|
||||
</dependency>
|
||||
\`\`\`
|
||||
|
||||
Gradle:
|
||||
|
||||
\`\`\`groovy
|
||||
implementation("com.anthropic:anthropic-java:2.16.0")
|
||||
implementation("com.anthropic:anthropic-java:2.16.1")
|
||||
\`\`\`
|
||||
|
||||
## Client Initialization
|
||||
@ -51,7 +51,7 @@ import com.anthropic.models.messages.Model;
|
||||
|
||||
MessageCreateParams params = MessageCreateParams.builder()
|
||||
.model(Model.CLAUDE_OPUS_4_6)
|
||||
.maxTokens(1024L)
|
||||
.maxTokens(16000L)
|
||||
.addUserMessage("What is the capital of France?")
|
||||
.build();
|
||||
|
||||
@ -71,7 +71,7 @@ import com.anthropic.models.messages.RawMessageStreamEvent;
|
||||
|
||||
MessageCreateParams params = MessageCreateParams.builder()
|
||||
.model(Model.CLAUDE_OPUS_4_6)
|
||||
.maxTokens(1024L)
|
||||
.maxTokens(64000L)
|
||||
.addUserMessage("Write a haiku")
|
||||
.build();
|
||||
|
||||
@ -142,7 +142,7 @@ static class GetWeather implements Supplier<String> {
|
||||
BetaToolRunner toolRunner = client.beta().messages().toolRunner(
|
||||
MessageCreateParams.builder()
|
||||
.model("{{OPUS_ID}}")
|
||||
.maxTokens(1024L)
|
||||
.maxTokens(16000L)
|
||||
.putAdditionalHeader("anthropic-beta", "structured-outputs-2025-11-13")
|
||||
.addTool(GetWeather.class)
|
||||
.addUserMessage("What's the weather in San Francisco?")
|
||||
@ -209,7 +209,7 @@ Tool tool = Tool.builder()
|
||||
|
||||
MessageCreateParams params = MessageCreateParams.builder()
|
||||
.model(Model.CLAUDE_SONNET_4_6)
|
||||
.maxTokens(1024L)
|
||||
.maxTokens(16000L)
|
||||
.addTool(tool)
|
||||
.addUserMessage("Weather in Paris?")
|
||||
.build();
|
||||
@ -305,7 +305,7 @@ record BookList(List<Book> books) {}
|
||||
|
||||
StructuredMessageCreateParams<BookList> params = MessageCreateParams.builder()
|
||||
.model(Model.CLAUDE_SONNET_4_6)
|
||||
.maxTokens(2048L)
|
||||
.maxTokens(16000L)
|
||||
.outputConfig(BookList.class) // returns a typed builder
|
||||
.addUserMessage("List 3 classic novels")
|
||||
.build();
|
||||
@ -376,7 +376,7 @@ import com.anthropic.models.beta.messages.BetaRequestMcpServerUrlDefinition;
|
||||
|
||||
MessageCreateParams params = MessageCreateParams.builder()
|
||||
.model(Model.CLAUDE_OPUS_4_6)
|
||||
.maxTokens(1024L)
|
||||
.maxTokens(16000L)
|
||||
.addBeta("mcp-client-2025-11-20")
|
||||
.addTool(BetaToolBash20250124.builder().build())
|
||||
.addTool(BetaCodeExecutionTool20260120.builder().build())
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Claude API reference — PHP'
|
||||
description: PHP SDK reference
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Claude API — PHP
|
||||
|
||||
@ -62,7 +62,7 @@ $client = Foundry\\Client::withCredentials(
|
||||
\`\`\`php
|
||||
$message = $client->messages->create(
|
||||
model: '{{OPUS_ID}}',
|
||||
maxTokens: 1024,
|
||||
maxTokens: 16000,
|
||||
messages: [
|
||||
['role' => 'user', 'content' => 'What is the capital of France?'],
|
||||
],
|
||||
@ -102,7 +102,7 @@ use Anthropic\\Messages\\TextDelta;
|
||||
|
||||
$stream = $client->messages->createStream(
|
||||
model: '{{OPUS_ID}}',
|
||||
maxTokens: 1024,
|
||||
maxTokens: 64000,
|
||||
messages: [
|
||||
['role' => 'user', 'content' => 'Write a haiku'],
|
||||
],
|
||||
@ -142,7 +142,7 @@ $messages = [['role' => 'user', 'content' => 'What is the weather in SF?']];
|
||||
|
||||
$response = $client->messages->create(
|
||||
model: '{{OPUS_ID}}',
|
||||
maxTokens: 1024,
|
||||
maxTokens: 16000,
|
||||
tools: $tools,
|
||||
messages: $messages,
|
||||
);
|
||||
@ -169,7 +169,7 @@ while ($response->stopReason === 'tool_use') { // camelCase property
|
||||
|
||||
$response = $client->messages->create(
|
||||
model: '{{OPUS_ID}}',
|
||||
maxTokens: 1024,
|
||||
maxTokens: 16000,
|
||||
tools: $tools,
|
||||
messages: $messages,
|
||||
);
|
||||
@ -231,7 +231,7 @@ use Anthropic\\Beta\\Messages\\BetaRequestMCPServerURLDefinition;
|
||||
|
||||
$response = $client->beta->messages->create(
|
||||
model: '{{OPUS_ID}}',
|
||||
maxTokens: 1024,
|
||||
maxTokens: 16000,
|
||||
mcpServers: [
|
||||
BetaRequestMCPServerURLDefinition::with(
|
||||
name: 'my-server',
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Claude API reference — Python'
|
||||
description: Python SDK reference including installation, client initialization, basic requests, thinking, and multi-turn conversation
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Claude API — Python
|
||||
|
||||
@ -33,7 +33,7 @@ async_client = anthropic.AsyncAnthropic()
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[
|
||||
{"role": "user", "content": "What is the capital of France?"}
|
||||
]
|
||||
@ -52,7 +52,7 @@ for block in response.content:
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
system="You are a helpful coding assistant. Always provide examples in Python.",
|
||||
messages=[{"role": "user", "content": "How do I read a JSON file?"}]
|
||||
)
|
||||
@ -72,7 +72,7 @@ with open("image.png", "rb") as f:
|
||||
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": [
|
||||
@ -95,7 +95,7 @@ response = client.messages.create(
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": [
|
||||
@ -125,7 +125,7 @@ Use top-level \`cache_control\` to automatically cache the last cacheable block
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
cache_control={"type": "ephemeral"}, # auto-caches the last cacheable block
|
||||
system="You are an expert on this large document...",
|
||||
messages=[{"role": "user", "content": "Summarize the key points"}]
|
||||
@ -139,7 +139,7 @@ For fine-grained control, add \`cache_control\` to specific content blocks:
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
system=[{
|
||||
"type": "text",
|
||||
"text": "You are an expert on this large document...",
|
||||
@ -151,7 +151,7 @@ response = client.messages.create(
|
||||
# With explicit TTL (time-to-live)
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
system=[{
|
||||
"type": "text",
|
||||
"text": "You are an expert on this large document...",
|
||||
@ -237,7 +237,7 @@ class ConversationManager:
|
||||
|
||||
response = self.client.messages.create(
|
||||
model=self.model,
|
||||
max_tokens=kwargs.get("max_tokens", 1024),
|
||||
max_tokens=kwargs.get("max_tokens", 16000),
|
||||
system=self.system,
|
||||
messages=self.messages,
|
||||
**kwargs
|
||||
@ -284,7 +284,7 @@ def chat(user_message: str) -> str:
|
||||
response = client.beta.messages.create(
|
||||
betas=["compact-2026-01-12"],
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=4096,
|
||||
max_tokens=16000,
|
||||
messages=messages,
|
||||
context_management={
|
||||
"edits": [{"type": "compact_20260112"}]
|
||||
@ -327,7 +327,7 @@ The \`stop_reason\` field in the response indicates why the model stopped genera
|
||||
# Automatic caching (simplest — caches the last cacheable block)
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
cache_control={"type": "ephemeral"},
|
||||
system=large_document_text, # e.g., 50KB of context
|
||||
messages=[{"role": "user", "content": "Summarize the key points"}]
|
||||
@ -343,14 +343,14 @@ response = client.messages.create(
|
||||
# Default to Opus for most tasks
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}", # $5.00/$25.00 per 1M tokens
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Explain quantum computing"}]
|
||||
)
|
||||
|
||||
# Use Sonnet for high-volume production workloads
|
||||
standard_response = client.messages.create(
|
||||
model="{{SONNET_ID}}", # $3.00/$15.00 per 1M tokens
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Summarize this document"}]
|
||||
)
|
||||
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Claude API reference — Ruby'
|
||||
description: Ruby SDK reference including installation, client initialization, basic requests, streaming, and beta tool runner
|
||||
ccVersion: 2.1.71
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Claude API — Ruby
|
||||
|
||||
@ -32,7 +32,7 @@ client = Anthropic::Client.new(api_key: "your-api-key")
|
||||
\`\`\`ruby
|
||||
message = client.messages.create(
|
||||
model: :"{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{ role: "user", content: "What is the capital of France?" }
|
||||
]
|
||||
@ -52,7 +52,7 @@ end
|
||||
\`\`\`ruby
|
||||
stream = client.messages.stream(
|
||||
model: :"{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 64000,
|
||||
messages: [{ role: "user", content: "Write a haiku" }]
|
||||
)
|
||||
|
||||
@ -84,7 +84,7 @@ end
|
||||
|
||||
client.beta.messages.tool_runner(
|
||||
model: :"{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
tools: [GetWeather.new],
|
||||
messages: [{ role: "user", content: "What's the weather in San Francisco?" }]
|
||||
).each_message do |message|
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Claude API reference — TypeScript'
|
||||
description: TypeScript SDK reference including installation, client initialization, basic requests, thinking, and multi-turn conversation
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Claude API — TypeScript
|
||||
|
||||
@ -30,7 +30,7 @@ const client = new Anthropic({ apiKey: "your-api-key" });
|
||||
\`\`\`typescript
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
messages: [{ role: "user", content: "What is the capital of France?" }],
|
||||
});
|
||||
// response.content is ContentBlock[] — a discriminated union. Narrow by .type
|
||||
@ -49,7 +49,7 @@ for (const block of response.content) {
|
||||
\`\`\`typescript
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
system:
|
||||
"You are a helpful coding assistant. Always provide examples in Python.",
|
||||
messages: [{ role: "user", content: "How do I read a JSON file?" }],
|
||||
@ -65,7 +65,7 @@ const response = await client.messages.create({
|
||||
\`\`\`typescript
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
@ -90,7 +90,7 @@ const imageData = fs.readFileSync("image.png").toString("base64");
|
||||
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
@ -117,7 +117,7 @@ Use top-level \`cache_control\` to automatically cache the last cacheable block
|
||||
\`\`\`typescript
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
cache_control: { type: "ephemeral" }, // auto-caches the last cacheable block
|
||||
system: "You are an expert on this large document...",
|
||||
messages: [{ role: "user", content: "Summarize the key points" }],
|
||||
@ -131,7 +131,7 @@ For fine-grained control, add \`cache_control\` to specific content blocks:
|
||||
\`\`\`typescript
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
system: [
|
||||
{
|
||||
type: "text",
|
||||
@ -145,7 +145,7 @@ const response = await client.messages.create({
|
||||
// With explicit TTL (time-to-live)
|
||||
const response2 = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
system: [
|
||||
{
|
||||
type: "text",
|
||||
@ -226,7 +226,7 @@ const messages: Anthropic.MessageParam[] = [
|
||||
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
messages: messages,
|
||||
});
|
||||
\`\`\`
|
||||
@ -255,7 +255,7 @@ async function chat(userMessage: string): Promise<string> {
|
||||
const response = await client.beta.messages.create({
|
||||
betas: ["compact-2026-01-12"],
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 4096,
|
||||
max_tokens: 16000,
|
||||
messages,
|
||||
context_management: {
|
||||
edits: [{ type: "compact_20260112" }],
|
||||
@ -302,7 +302,7 @@ The \`stop_reason\` field in the response indicates why the model stopped genera
|
||||
// Automatic caching (simplest — caches the last cacheable block)
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
cache_control: { type: "ephemeral" },
|
||||
system: largeDocumentText, // e.g., 50KB of context
|
||||
messages: [{ role: "user", content: "Summarize the key points" }],
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Files API reference — Python'
|
||||
description: Python Files API reference including file upload, listing, deletion, and usage in messages
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Files API — Python
|
||||
|
||||
@ -42,7 +42,7 @@ print(f"Size: {uploaded.size_bytes} bytes")
|
||||
\`\`\`python
|
||||
response = client.beta.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": [
|
||||
@ -71,7 +71,7 @@ image_file = client.beta.files.upload(
|
||||
|
||||
response = client.beta.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": [
|
||||
@ -148,7 +148,7 @@ questions = [
|
||||
for question in questions:
|
||||
response = client.beta.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": [
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Files API reference — TypeScript'
|
||||
description: TypeScript Files API reference including file upload, listing, deletion, and usage in messages
|
||||
ccVersion: 2.1.63
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Files API — TypeScript
|
||||
|
||||
@ -47,7 +47,7 @@ console.log(\`Size: \${uploaded.size_bytes} bytes\`);
|
||||
\`\`\`typescript
|
||||
const response = await client.beta.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Message Batches API reference — Python'
|
||||
description: Python Batches API reference including batch creation, status polling, and result retrieval at 50% cost
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Message Batches API — Python
|
||||
|
||||
@ -32,7 +32,7 @@ message_batch = client.messages.batches.create(
|
||||
custom_id="request-1",
|
||||
params=MessageCreateParamsNonStreaming(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Summarize climate change impacts"}]
|
||||
)
|
||||
),
|
||||
@ -40,7 +40,7 @@ message_batch = client.messages.batches.create(
|
||||
custom_id="request-2",
|
||||
params=MessageCreateParamsNonStreaming(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Explain quantum computing basics"}]
|
||||
)
|
||||
),
|
||||
@ -123,7 +123,7 @@ message_batch = client.messages.batches.create(
|
||||
custom_id=f"analysis-{i}",
|
||||
params=MessageCreateParamsNonStreaming(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
system=shared_system,
|
||||
messages=[{"role": "user", "content": question}]
|
||||
)
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Streaming reference — Python'
|
||||
description: Python streaming reference including sync/async streaming and handling different content types
|
||||
ccVersion: 2.1.63
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Streaming — Python
|
||||
|
||||
@ -10,7 +10,7 @@ ccVersion: 2.1.63
|
||||
\`\`\`python
|
||||
with client.messages.stream(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=64000,
|
||||
messages=[{"role": "user", "content": "Write a story"}]
|
||||
) as stream:
|
||||
for text in stream.text_stream:
|
||||
@ -22,7 +22,7 @@ with client.messages.stream(
|
||||
\`\`\`python
|
||||
async with async_client.messages.stream(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=64000,
|
||||
messages=[{"role": "user", "content": "Write a story"}]
|
||||
) as stream:
|
||||
async for text in stream.text_stream:
|
||||
@ -40,7 +40,7 @@ Claude may return text, thinking blocks, or tool use. Handle each appropriately:
|
||||
\`\`\`python
|
||||
with client.messages.stream(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=16000,
|
||||
max_tokens=64000,
|
||||
thinking={"type": "adaptive"},
|
||||
messages=[{"role": "user", "content": "Analyze this problem"}]
|
||||
) as stream:
|
||||
@ -67,7 +67,7 @@ The Python tool runner currently returns complete messages. Use streaming for in
|
||||
\`\`\`python
|
||||
with client.messages.stream(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=4096,
|
||||
max_tokens=64000,
|
||||
tools=tools,
|
||||
messages=messages
|
||||
) as stream:
|
||||
@ -85,7 +85,7 @@ with client.messages.stream(
|
||||
\`\`\`python
|
||||
with client.messages.stream(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=64000,
|
||||
messages=[{"role": "user", "content": "Hello"}]
|
||||
) as stream:
|
||||
for text in stream.text_stream:
|
||||
@ -132,7 +132,7 @@ def stream_with_progress(client, **kwargs):
|
||||
try:
|
||||
with client.messages.stream(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=64000,
|
||||
messages=[{"role": "user", "content": "Write a story"}]
|
||||
) as stream:
|
||||
for text in stream.text_stream:
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Streaming reference — TypeScript'
|
||||
description: TypeScript streaming reference including basic streaming and handling different content types
|
||||
ccVersion: 2.1.63
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Streaming — TypeScript
|
||||
|
||||
@ -10,7 +10,7 @@ ccVersion: 2.1.63
|
||||
\`\`\`typescript
|
||||
const stream = client.messages.stream({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 64000,
|
||||
messages: [{ role: "user", content: "Write a story" }],
|
||||
});
|
||||
|
||||
@ -33,7 +33,7 @@ for await (const event of stream) {
|
||||
\`\`\`typescript
|
||||
const stream = client.messages.stream({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 16000,
|
||||
max_tokens: 64000,
|
||||
thinking: { type: "adaptive" },
|
||||
messages: [{ role: "user", content: "Analyze this problem" }],
|
||||
});
|
||||
@ -88,7 +88,7 @@ const getWeather = betaZodTool({
|
||||
|
||||
const runner = client.beta.messages.toolRunner({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 4096,
|
||||
max_tokens: 64000,
|
||||
tools: [getWeather],
|
||||
messages: [
|
||||
{ role: "user", content: "What's the weather in Paris and London?" },
|
||||
@ -123,7 +123,7 @@ for await (const messageStream of runner) {
|
||||
\`\`\`typescript
|
||||
const stream = client.messages.stream({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 64000,
|
||||
messages: [{ role: "user", content: "Hello" }],
|
||||
});
|
||||
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Tool use reference — Python'
|
||||
description: Python tool use reference including tool runner, manual agentic loop, code execution, and structured outputs
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Tool Use — Python
|
||||
|
||||
@ -33,7 +33,7 @@ def get_weather(location: str, unit: str = "celsius") -> str:
|
||||
# The tool runner handles the agentic loop automatically
|
||||
runner = client.beta.messages.tool_runner(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=4096,
|
||||
max_tokens=16000,
|
||||
tools=[get_weather],
|
||||
messages=[{"role": "user", "content": "What's the weather in Paris?"}],
|
||||
)
|
||||
@ -78,7 +78,7 @@ async with stdio_client(StdioServerParameters(command="mcp-server")) as (read, w
|
||||
# tool_runner is sync — returns the runner, not a coroutine
|
||||
runner = client.beta.messages.tool_runner(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Use the available tools"}],
|
||||
tools=[async_mcp_tool(t, mcp_client) for t in tools_result.tools],
|
||||
)
|
||||
@ -96,7 +96,7 @@ from anthropic.lib.tools.mcp import mcp_message
|
||||
prompt = await mcp_client.get_prompt(name="my-prompt")
|
||||
response = await client.beta.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[mcp_message(m) for m in prompt.messages],
|
||||
)
|
||||
\`\`\`
|
||||
@ -109,7 +109,7 @@ from anthropic.lib.tools.mcp import mcp_resource_to_content
|
||||
resource = await mcp_client.read_resource(uri="file:///path/to/doc.txt")
|
||||
response = await client.beta.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": [
|
||||
@ -148,7 +148,7 @@ messages = [{"role": "user", "content": user_input}]
|
||||
while True:
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=4096,
|
||||
max_tokens=16000,
|
||||
tools=tools,
|
||||
messages=messages
|
||||
)
|
||||
@ -195,7 +195,7 @@ final_text = next(b.text for b in response.content if b.type == "text")
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
tools=tools,
|
||||
messages=[{"role": "user", "content": "What's the weather in Paris?"}]
|
||||
)
|
||||
@ -210,7 +210,7 @@ for block in response.content:
|
||||
|
||||
followup = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
tools=tools,
|
||||
messages=[
|
||||
{"role": "user", "content": "What's the weather in Paris?"},
|
||||
@ -247,7 +247,7 @@ for block in response.content:
|
||||
if tool_results:
|
||||
followup = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
tools=tools,
|
||||
messages=[
|
||||
*previous_messages,
|
||||
@ -277,7 +277,7 @@ tool_result = {
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
tools=tools,
|
||||
tool_choice={"type": "tool", "name": "get_weather"}, # Force specific tool
|
||||
messages=[{"role": "user", "content": "What's the weather in Paris?"}]
|
||||
@ -297,7 +297,7 @@ client = anthropic.Anthropic()
|
||||
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=4096,
|
||||
max_tokens=16000,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": "Calculate the mean and standard deviation of [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
|
||||
@ -325,7 +325,7 @@ uploaded = client.beta.files.upload(file=open("sales_data.csv", "rb"))
|
||||
# Code execution is GA; Files API is still beta (pass via extra_headers)
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=4096,
|
||||
max_tokens=16000,
|
||||
extra_headers={"anthropic-beta": "files-api-2025-04-14"},
|
||||
messages=[{
|
||||
"role": "user",
|
||||
@ -370,7 +370,7 @@ for block in response.content:
|
||||
# First request: set up environment
|
||||
response1 = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=4096,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Install tabulate and create data.json with sample data"}],
|
||||
tools=[{"type": "code_execution_20260120", "name": "code_execution"}]
|
||||
)
|
||||
@ -382,7 +382,7 @@ container_id = response1.container.id
|
||||
response2 = client.messages.create(
|
||||
container=container_id,
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=4096,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Read data.json and display as a formatted table"}],
|
||||
tools=[{"type": "code_execution_20260120", "name": "code_execution"}]
|
||||
)
|
||||
@ -422,7 +422,7 @@ client = anthropic.Anthropic()
|
||||
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=2048,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Remember that my preferred language is Python."}],
|
||||
tools=[{"type": "memory_20250818", "name": "memory"}],
|
||||
)
|
||||
@ -448,7 +448,7 @@ memory = MyMemoryTool()
|
||||
# Use with tool runner
|
||||
runner = client.beta.messages.tool_runner(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=2048,
|
||||
max_tokens=16000,
|
||||
tools=[memory],
|
||||
messages=[{"role": "user", "content": "Remember my preferences"}],
|
||||
)
|
||||
@ -483,7 +483,7 @@ client = anthropic.Anthropic()
|
||||
|
||||
response = client.messages.parse(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": "Extract: Jane Doe (jane@co.com) wants Enterprise, interested in API and SDKs, wants a demo."
|
||||
@ -502,7 +502,7 @@ print(contact.interests) # ["API", "SDKs"]
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": "Extract info: John Smith (john@example.com) wants the Enterprise plan."
|
||||
@ -536,7 +536,7 @@ data = json.loads(text)
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Book a flight to Tokyo for 2 passengers on March 15"}],
|
||||
tools=[{
|
||||
"name": "book_flight",
|
||||
@ -561,7 +561,7 @@ response = client.messages.create(
|
||||
\`\`\`python
|
||||
response = client.messages.create(
|
||||
model="{{OPUS_ID}}",
|
||||
max_tokens=1024,
|
||||
max_tokens=16000,
|
||||
messages=[{"role": "user", "content": "Plan a trip to Paris next month"}],
|
||||
output_config={
|
||||
"format": {
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Data: Tool use reference — TypeScript'
|
||||
description: TypeScript tool use reference including tool runner, manual agentic loop, code execution, and structured outputs
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Tool Use — TypeScript
|
||||
|
||||
@ -36,7 +36,7 @@ const getWeather = betaZodTool({
|
||||
// The tool runner handles the agentic loop and returns the final message
|
||||
const finalMessage = await client.beta.messages.toolRunner({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 4096,
|
||||
max_tokens: 16000,
|
||||
tools: [getWeather],
|
||||
messages: [{ role: "user", content: "What's the weather in Paris?" }],
|
||||
});
|
||||
@ -67,7 +67,7 @@ let messages: Anthropic.MessageParam[] = [{ role: "user", content: userInput }];
|
||||
while (true) {
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 4096,
|
||||
max_tokens: 16000,
|
||||
tools: tools,
|
||||
messages: messages,
|
||||
});
|
||||
@ -114,7 +114,7 @@ let messages: Anthropic.MessageParam[] = [{ role: "user", content: userInput }];
|
||||
while (true) {
|
||||
const stream = client.messages.stream({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 4096,
|
||||
max_tokens: 64000,
|
||||
tools,
|
||||
messages,
|
||||
});
|
||||
@ -169,7 +169,7 @@ while (true) {
|
||||
\`\`\`typescript
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
tools: tools,
|
||||
messages: [{ role: "user", content: "What's the weather in Paris?" }],
|
||||
});
|
||||
@ -180,7 +180,7 @@ for (const block of response.content) {
|
||||
|
||||
const followup = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
tools: tools,
|
||||
messages: [
|
||||
{ role: "user", content: "What's the weather in Paris?" },
|
||||
@ -204,7 +204,7 @@ for (const block of response.content) {
|
||||
\`\`\`typescript
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
tools: tools,
|
||||
tool_choice: { type: "tool", name: "get_weather" },
|
||||
messages: [{ role: "user", content: "What's the weather in Paris?" }],
|
||||
@ -223,7 +223,7 @@ Version-suffixed \`type\` literals; \`name\` is fixed per interface. Pass plain
|
||||
// ✓ let inference work — no annotation
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
tools: [
|
||||
{ type: "text_editor_20250728", name: "str_replace_based_edit_tool" },
|
||||
{ type: "bash_20250124", name: "bash" },
|
||||
@ -263,7 +263,7 @@ const client = new Anthropic();
|
||||
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 4096,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
@ -311,7 +311,7 @@ const uploaded = await client.beta.files.upload({
|
||||
const response = await client.messages.create(
|
||||
{
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 4096,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
@ -371,7 +371,7 @@ for (const block of response.content) {
|
||||
// First request: set up environment
|
||||
const response1 = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 4096,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
@ -388,7 +388,7 @@ const containerId = response1.container!.id;
|
||||
const response2 = await client.messages.create({
|
||||
container: containerId,
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 4096,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
@ -408,7 +408,7 @@ const response2 = await client.messages.create({
|
||||
\`\`\`typescript
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 2048,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
@ -442,7 +442,7 @@ const memory = betaMemoryTool(handlers);
|
||||
|
||||
const runner = client.beta.messages.toolRunner({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 2048,
|
||||
max_tokens: 16000,
|
||||
tools: [memory],
|
||||
messages: [{ role: "user", content: "Remember my preferences" }],
|
||||
});
|
||||
@ -479,7 +479,7 @@ const client = new Anthropic();
|
||||
|
||||
const response = await client.messages.parse({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
@ -501,7 +501,7 @@ console.log(response.parsed_output!.name); // "Jane Doe"
|
||||
\`\`\`typescript
|
||||
const response = await client.messages.create({
|
||||
model: "{{OPUS_ID}}",
|
||||
max_tokens: 1024,
|
||||
max_tokens: 16000,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'Skill: Build with Claude API'
|
||||
description: Main routing guide for building LLM-powered applications with Claude, including language detection, surface selection, and architecture overview
|
||||
ccVersion: 2.1.73
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Building LLM-Powered Applications with Claude
|
||||
|
||||
@ -234,7 +234,8 @@ Live documentation URLs are in \`shared/live-sources.md\`.
|
||||
- Don't truncate inputs when passing files or content to the API. If the content is too long to fit in the context window, notify the user and discuss options (chunking, summarization, etc.) rather than silently truncating.
|
||||
- **Opus 4.6 / Sonnet 4.6 thinking:** Use \`thinking: {type: "adaptive"}\` — do NOT use \`budget_tokens\` (deprecated on both Opus 4.6 and Sonnet 4.6). For older models, \`budget_tokens\` must be less than \`max_tokens\` (minimum 1024). This will throw an error if you get it wrong.
|
||||
- **Opus 4.6 prefill removed:** Assistant message prefills (last-assistant-turn prefills) return a 400 error on Opus 4.6. Use structured outputs (\`output_config.format\`) or system prompt instructions to control response format instead.
|
||||
- **128K output tokens:** Opus 4.6 supports up to 128K \`max_tokens\`, but the SDKs require streaming for large \`max_tokens\` to avoid HTTP timeouts. Use \`.stream()\` with \`.get_final_message()\` / \`.finalMessage()\`.
|
||||
- **\`max_tokens\` defaults:** Don't lowball \`max_tokens\` — hitting the cap truncates output mid-thought and requires a retry. For non-streaming requests, default to \`~16000\` (keeps responses under SDK HTTP timeouts). For streaming requests, default to \`~64000\` (timeouts aren't a concern, so give the model room). Only go lower when you have a hard reason: classification (\`~256\`), cost caps, or deliberately short outputs.
|
||||
- **128K output tokens:** Opus 4.6 supports up to 128K \`max_tokens\`, but the SDKs require streaming for values that large to avoid HTTP timeouts. Use \`.stream()\` with \`.get_final_message()\` / \`.finalMessage()\`.
|
||||
- **Tool call JSON parsing (Opus 4.6):** Opus 4.6 may produce different JSON string escaping in tool call \`input\` fields (e.g., Unicode or forward-slash escaping). Always parse tool inputs with \`json.loads()\` / \`JSON.parse()\` — never do raw string matching on the serialized input.
|
||||
- **Structured outputs (all models):** Use \`output_config: {format: {...}}\` instead of the deprecated \`output_format\` parameter on \`messages.create()\`. This is a general API change, not 4.6-specific.
|
||||
- **Don't reimplement SDK functionality:** The SDK provides high-level helpers — use them instead of building from scratch. Specifically: use \`stream.finalMessage()\` instead of wrapping \`.on()\` events in \`new Promise()\`; use typed exception classes (\`Anthropic.RateLimitError\`, etc.) instead of string-matching error messages; use SDK types (\`Anthropic.MessageParam\`, \`Anthropic.Tool\`, \`Anthropic.Message\`, etc.) instead of redefining equivalent interfaces.
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'System Prompt: Auto mode'
|
||||
description: Continuous task execution, akin to a background agent.
|
||||
ccVersion: 2.1.72
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
## Auto Mode Active
|
||||
|
||||
@ -12,3 +12,4 @@ Auto mode is active. The user chose continuous, autonomous execution. You should
|
||||
3. **Prefer action over planning** — Do not enter plan mode unless the user explicitly asks. When in doubt, start coding.
|
||||
4. **Make reasonable decisions** — Choose the most sensible approach and keep moving. Don't block on ambiguity that you can resolve with a reasonable default.
|
||||
5. **Be thorough** — Complete the full task including tests, linting, and verification without stopping to ask.
|
||||
6. **Never post to public services** — Do not share content to public endpoints (GitHub gists, Mermaid Live, Pastebin, etc.) without explicit written approval from the user for that specific endpoint. The user must review the content first to judge sensitivity. Err on the side of caution — data exfiltration is a serious risk.
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
<!--
|
||||
name: 'System Prompt: Executing actions with care'
|
||||
description: Instructions for executing actions carefully.
|
||||
ccVersion: 2.1.32
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
# Executing actions with care
|
||||
|
||||
@ -11,5 +11,6 @@ Examples of the kind of risky actions that warrant user confirmation:
|
||||
- Destructive operations: deleting files/branches, dropping database tables, killing processes, rm -rf, overwriting uncommitted changes
|
||||
- Hard-to-reverse operations: force-pushing (can also overwrite upstream), git reset --hard, amending published commits, removing or downgrading packages/dependencies, modifying CI/CD pipelines
|
||||
- Actions visible to others or that affect shared state: pushing code, creating/closing/commenting on PRs or issues, sending messages (Slack, email, GitHub), posting to external services, modifying shared infrastructure or permissions
|
||||
- Uploading content to third-party web tools (diagram renderers, pastebins, gists) publishes it - consider whether it could be sensitive before sending, since it may be cached or indexed even if later deleted.
|
||||
|
||||
When you encounter an obstacle, do not use destructive actions as a shortcut to simply make it go away. For instance, try to identify root causes and fix underlying issues rather than bypassing safety checks (e.g. --no-verify). If you discover unexpected state like unfamiliar files, branches, or configuration, investigate before deleting or overwriting, as it may represent the user's in-progress work. For example, typically resolve merge conflicts rather than discarding changes; similarly, if a lock file exists, investigate what process holds it rather than deleting it. In short: only take risky actions carefully, and when in doubt, ask before acting. Follow both the spirit and letter of these instructions - measure twice, cut once.
|
||||
|
||||
@ -0,0 +1,6 @@
|
||||
<!--
|
||||
name: 'System Prompt: Memory description of user feedback'
|
||||
description: Describes the user feedback memory type that stores guidance about work approaches, emphasizing recording both successes and failures and checking for contradictions with team memories
|
||||
ccVersion: 2.1.78
|
||||
-->
|
||||
<description>Guidance the user has given you about how to approach work — both what to avoid and what to keep doing. These are a very important type of memory to read and write as they allow you to remain coherent and responsive to the way you should approach work in the project. Record from failure AND success: if you only save corrections, you will avoid past mistakes but drift away from approaches the user has already validated, and may grow overly cautious. Before saving a private feedback memory, check that it doesn't contradict a team feedback memory — if it does, either don't save it or note the override explicitly.</description>
|
||||
@ -1,6 +0,0 @@
|
||||
<!--
|
||||
name: 'System Prompt: Memory system (private feedback)'
|
||||
description: Describes the private feedback memory type for storing user guidance and corrections, with instructions to check for contradictions against team feedback before saving
|
||||
ccVersion: 2.1.71
|
||||
-->
|
||||
<description>Guidance or correction the user has given you. These are a very important type of memory to read and write as they allow you to remain coherent and responsive to the way you should approach work in the project. Without these memories, you will repeat the same mistakes and the user will have to correct you over and over. Before saving a private feedback memory, check that it doesn't contradict a team feedback memory — if it does, either don't save it or note the override explicitly.</description>
|
||||
@ -1,6 +0,0 @@
|
||||
<!--
|
||||
name: 'System Prompt: Tone and style (concise output — detailed)'
|
||||
description: Instruction for concise, polished output without filler or inner monologue
|
||||
ccVersion: 2.1.53
|
||||
-->
|
||||
Your output to the user should be concise and polished. Avoid using filler words, repetition, or restating what the user has already said. Avoid sharing your thinking or inner monologue in your output — only present the final product of your thoughts to the user. Get to the point quickly, but never omit important information. This does not apply to code or tool calls.
|
||||
Loading…
x
Reference in New Issue
Block a user