docs: add monitoring & activity audit sections to observability guide

- guide/observability.md: +3 sections (Activity Monitoring, External Tools, Proxying)
  - Activity Monitoring: JSONL tool_use audit, jq queries, sensitive pattern detection
  - External Tools: ccusage / claude-code-otel / Akto / MLflow / ccboard comparison
  - Proxying: NODE_EXTRA_CA_CERTS, ANTHROPIC_API_URL, mitmproxy, Python proxy
- docs: ccboard Activity module implementation plan (Tab 10, Rust models, SQLite cache)
- docs: Mergify cross-system support evaluation

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Florian BRUNIAUX 2026-02-21 20:29:05 +01:00
parent 6049bd99c2
commit ac50ee7ad8
4 changed files with 684 additions and 2 deletions

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@ -6,6 +6,22 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
## [Unreleased]
### Added
- **guide/observability.md — 3 nouvelles sections monitoring** (+214 lignes)
- **Activity Monitoring** : audit des actions Claude Code via les JSONL de session — quels fichiers lus, commandes exécutées, URLs fetchées. Requêtes `jq` prêtes à l'emploi. Tableau des patterns sensibles (.env, rm -rf, WebFetch externe)
- **External Monitoring Tools** : tableau comparatif ccusage / claude-code-otel / Akto / MLflow / ccboard avec decision guide et exemples d'install
- **Proxying Claude Code** : pourquoi Proxyman/Charles échouent (Node.js ignore les proxies système), 4 solutions : `NODE_EXTRA_CA_CERTS`, `ANTHROPIC_API_URL`, mitmproxy (recommandé), proxy Python minimal
- **docs/resource-evaluations/ccboard-activity-module-plan.md** : plan complet pour le module Activity de ccboard (Tab 10)
- Data models Rust (`ToolCall`, `FileAccess`, `BashCommand`, `NetworkCall`, `Alert`)
- Parser JSONL stream avec détection destructive/sensible
- Schéma SQLite + stratégie de cache lazy (invalidation par mtime)
- Layout TUI avec 5 sous-tabs (Files/Commands/Network/Alerts/Timeline)
- Endpoints Web API (`GET /api/activity/:session_id/...`)
- 7 règles d'alertes avec sévérités
- 5 phases d'implémentation avec checklists
- **machine-readable/reference.yaml** : 6 nouvelles entrées (`activity_monitoring`, `external_monitoring_tools`, `proxying_claude_code`, `ccboard_activity_plan`...)
## [3.28.0] - 2026-02-21
### Added

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@ -0,0 +1,70 @@
# Resource Evaluation: Mergify — Cross-System Support Investigator
**Date**: 2026-02-20
**Evaluator**: Claude (eval-resource skill)
**Score**: 4/5
**Action**: Integrated
---
## Source
- **URL**: https://mergify.com/blog/how-we-turned-claude-into-a-cross-system-support-investigator
- **Author**: Julian Maurin (Mergify)
- **Date**: November 2025
- **Type**: Engineering blog post / production case study
---
## Summary
Mergify built a support ticket investigation system combining Claude Code as orchestrator with 5 custom MCP servers (Datadog, Sentry, PostgreSQL, Linear, GitHub). The system executes parallel queries across all systems and produces a structured report for human review.
Key results (self-reported): triage time reduced from ~15 min → <5 min; 75% first-pass accuracy.
---
## Scoring
| Criterion | Assessment |
|-----------|-----------|
| Relevance to guide | High — fills gap on MCP operational orchestration |
| Novelty vs. existing content | High — "Claude Code as ops runtime" not covered |
| Production evidence | Medium — self-reported metrics, no public repo |
| Technical depth | Medium — architecture clear, code not published |
| Source reliability | Medium — company blog (potential marketing bias) |
**Final score: 4/5**
---
## Integration
- **Where**: `guide/ultimate-guide.md` — §8.4 Server Selection Guide → "Combining Servers" → new subsection "Production Case Study: Multi-System Support Investigator"
- **Angle**: Claude Code as operational orchestrator (ops/support use case, not dev tool)
- **Key addition**: Architecture diagram, parallel fan-out pattern, design decisions, results with caveat
---
## Fact-Check
| Claim | Status | Notes |
|-------|--------|-------|
| Author: Julian Maurin | ✅ | Confirmed via Perplexity deep research |
| Date: November 2025 | ✅ | Confirmed |
| 5 systems: Datadog, Sentry, PostgreSQL, Linear, GitHub | ✅ | Confirmed |
| Triage: 15 min → <5 min | | Self-reported, not independently verified |
| First-pass accuracy: 75% | ⚠️ | Self-reported, same caveat |
| Architecture: MCP + parallel execution | ✅ | Consistent with MCP ecosystem |
Metrics are presented in the guide with "self-reported" caveat.
---
## Challenge Notes (technical-writer agent)
- Score 4/5 confirmed
- 75% accuracy = 25% still need human follow-up → presented as "assistance", not "automation"
- Source bias noted (Mergify sells CI/CD automation, article serves their brand)
- Real value: "orchestrateur stateful avec MCP adaptateurs" pattern, distinct from all existing guide cases
- Risk of non-integration: moderate — guide will lag on ops/support angle as similar cases multiply

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@ -0,0 +1,382 @@
# ccboard Activity Module — Implementation Plan
**Date**: 2026-02-21
**Status**: Draft
**Target repo**: [ccboard](https://github.com/FlorianBruniaux/ccboard)
**Triggered by**: User question on monitoring Claude Code file/command/network activity
---
## Context
ccboard currently covers session management, cost tracking, and basic stats. The missing layer is *activity auditing*: what files did Claude Code read, what commands did it execute, what URLs did it fetch?
Session JSONL files already contain this data — every `tool_use` block in `type: "assistant"` messages is a complete record of Claude Code's actions. The Activity module parses these and surfaces them in a dedicated Tab 10.
---
## Architecture
### New Files
```
ccboard-core/
├── src/
│ ├── parsers/
│ │ └── activity.rs # Parse tool_use blocks from JSONL
│ └── models/
│ └── activity.rs # Structs: ToolCall, FileAccess, BashCommand, NetworkCall, Alert
ccboard-tui/
└── src/
└── tabs/
└── activity.rs # Tab 10 — TUI rendering
ccboard-web/
└── src/
└── pages/
└── activity.rs # /activity route — Web UI rendering
```
### Modified Files
```
ccboard-core/src/db/schema.rs # Add activity_events table
ccboard-core/src/db/queries.rs # Add activity query functions
ccboard-tui/src/app.rs # Register Tab 10
ccboard-web/src/router.rs # Register /activity route
```
---
## Data Models
```rust
// ccboard-core/src/models/activity.rs
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolCall {
pub id: String,
pub session_id: String,
pub timestamp: DateTime<Utc>,
pub tool_name: String,
pub input: serde_json::Value,
pub duration_ms: Option<u64>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FileAccess {
pub session_id: String,
pub timestamp: DateTime<Utc>,
pub path: String,
pub operation: FileOperation, // Read | Write | Edit | Glob | Grep
pub line_range: Option<(usize, usize)>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum FileOperation {
Read,
Write,
Edit,
Glob,
Grep,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BashCommand {
pub session_id: String,
pub timestamp: DateTime<Utc>,
pub command: String,
pub is_destructive: bool, // Heuristic: rm -rf, git push --force, etc.
pub output_preview: String, // First 200 chars of output
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct NetworkCall {
pub session_id: String,
pub timestamp: DateTime<Utc>,
pub url: String,
pub tool: NetworkTool, // WebFetch | WebSearch | McpCall
pub domain: String, // Extracted from URL
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum NetworkTool {
WebFetch,
WebSearch,
McpCall { server: String },
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Alert {
pub session_id: String,
pub timestamp: DateTime<Utc>,
pub severity: AlertSeverity,
pub category: AlertCategory,
pub detail: String,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AlertSeverity {
Info,
Warning,
Critical,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AlertCategory {
CredentialAccess, // .env, *.pem, id_rsa
DestructiveCommand, // rm -rf, git push --force, DROP TABLE
ExternalExfil, // WebFetch to unknown domain
ScopeViolation, // Write outside project root
ForcePush, // git push --force
}
```
---
## Parser
```rust
// ccboard-core/src/parsers/activity.rs
pub fn parse_tool_calls(session_jsonl: &Path) -> Result<Vec<ToolCall>> {
// 1. Stream-read JSONL (don't load entire file)
// 2. Filter lines where .type == "assistant"
// 3. Extract .message.content[].type == "tool_use" blocks
// 4. Map to ToolCall structs
// 5. Return Vec<ToolCall>
}
pub fn classify_tool_calls(calls: Vec<ToolCall>) -> ActivitySummary {
// Fan out into typed collections
ActivitySummary {
file_accesses: extract_file_accesses(&calls),
bash_commands: extract_bash_commands(&calls),
network_calls: extract_network_calls(&calls),
alerts: generate_alerts(&calls),
}
}
fn is_destructive_command(cmd: &str) -> bool {
let patterns = [
"rm -rf", "rm -r ", "git push --force", "git push -f",
"DROP TABLE", "DROP DATABASE", "truncate ", "git reset --hard",
"git clean -f", "pkill", "kill -9",
];
patterns.iter().any(|p| cmd.to_lowercase().contains(p))
}
fn is_sensitive_file(path: &str) -> bool {
let patterns = [".env", ".pem", "id_rsa", "id_ed25519", ".p12",
"secrets.json", "credentials.json", ".npmrc", ".netrc"];
patterns.iter().any(|p| path.contains(p))
}
```
---
## SQLite Schema
```sql
-- Add to ccboard-core/src/db/schema.rs migrations
CREATE TABLE IF NOT EXISTS activity_events (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
timestamp TEXT NOT NULL,
tool_name TEXT NOT NULL,
input_json TEXT NOT NULL, -- Full tool input as JSON
duration_ms INTEGER,
FOREIGN KEY (session_id) REFERENCES sessions(id)
);
CREATE INDEX IF NOT EXISTS idx_activity_session ON activity_events(session_id);
CREATE INDEX IF NOT EXISTS idx_activity_tool ON activity_events(tool_name);
CREATE INDEX IF NOT EXISTS idx_activity_ts ON activity_events(timestamp);
CREATE TABLE IF NOT EXISTS activity_alerts (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
timestamp TEXT NOT NULL,
severity TEXT NOT NULL, -- 'info' | 'warning' | 'critical'
category TEXT NOT NULL,
detail TEXT NOT NULL,
FOREIGN KEY (session_id) REFERENCES sessions(id)
);
```
---
## TUI Tab (Tab 10)
### Layout
```
┌─ Activity ─────────────────────────────────────────────────────────┐
│ Session: my-project / 2026-02-21 14:32 [←][→] navigate sessions │
├─────────────────────────────────────────────────────────────────────┤
│ [Files 47] [Commands 12] [Network 3] [Alerts ⚠ 2] [Timeline] │
├─────────────────────────────────────────────────────────────────────┤
│ │
│ FILES │
│ 14:32:01 READ src/main.rs │
│ 14:32:04 READ src/lib.rs │
│ 14:32:09 EDIT src/main.rs ← lines 45-67 │
│ 14:32:15 WRITE src/new_module.rs │
│ 14:32:20 READ ⚠ .env ← credential access │
│ │
│ [j/k scroll] [Enter: expand] [f: filter] [a: alerts only] │
└─────────────────────────────────────────────────────────────────────┘
```
### Tabs within Activity
| Sub-tab | Key | Content |
|---------|-----|---------|
| Files | `1` | File reads/writes/edits with path, timestamp, line range |
| Commands | `2` | Bash commands, destructive flag, output preview |
| Network | `3` | WebFetch URLs, MCP calls, domain list |
| Alerts | `4` | Auto-flagged events by severity |
| Timeline | `5` | Chronological view of all actions (merged) |
### Keybindings
| Key | Action |
|-----|--------|
| `Tab` / `Shift+Tab` | Switch sub-tabs |
| `j` / `k` | Scroll list |
| `Enter` | Expand item (full command / full path / response preview) |
| `f` | Filter by pattern |
| `a` | Jump to Alerts sub-tab |
| `s` | Jump to session picker |
| `/` | Search within current view |
| `y` | Copy selected item to clipboard |
| `e` | Export current view to JSON |
---
## Web UI Page (/activity)
```
GET /activity → Session picker → redirect to /activity?session=ID
GET /activity?session=ID → Full activity view for session
GET /activity?session=ID&tab=files
GET /activity?session=ID&tab=commands
GET /activity?session=ID&tab=network
GET /activity?session=ID&tab=alerts
GET /activity?session=ID&tab=timeline
GET /api/activity/:session_id → Full ActivitySummary JSON
GET /api/activity/:session_id/files → Vec<FileAccess>
GET /api/activity/:session_id/commands → Vec<BashCommand>
GET /api/activity/:session_id/network → Vec<NetworkCall>
GET /api/activity/:session_id/alerts → Vec<Alert>
GET /api/activity/:session_id/timeline → Vec<ToolCall> sorted by timestamp
```
---
## Alert Detection Rules
| Rule | Condition | Severity |
|------|-----------|----------|
| Credential file access | `Read` path matches `*.env`, `*.pem`, `id_rsa`, `id_ed25519`, `secrets.json` | Warning |
| Destructive bash command | `Bash` input matches `rm -rf`, `git push --force`, `DROP TABLE`, `git reset --hard` | Critical |
| Force push | `Bash` input contains `git push` with `--force` or `-f` flag | Critical |
| External URL fetch | `WebFetch` URL domain not in project's known domains | Info |
| Write outside project root | `Write`/`Edit` path is outside `$PWD` at session start | Warning |
| Large file write | `Write` content size > 100KB | Info |
| Secrets in bash output | `Bash` output preview matches `sk-`, `ghp_`, `AKIA` (AWS key prefix) | Critical |
Alerts are generated at parse time and stored in `activity_alerts`. They do **not** block Claude Code — ccboard is read-only.
---
## Performance Constraints
### Requirements
- Startup time: < 2s for 1000+ sessions (same as current ccboard guarantee)
- JSONL parsing: lazy — only parse when session is selected, not on startup
- SQLite cache: parse once, cache `activity_events` by session_id + mtime. Invalidate on file change.
- Memory: stream JSONL line-by-line, never load full file
### Caching Strategy
```
Session selected
→ Check SQLite: activity_events WHERE session_id = ? AND mtime = file_mtime
→ Cache hit: return from DB (< 10ms)
→ Cache miss: parse JSONL → insert to DB → return (< 500ms for typical session)
```
### Index Strategy
Parse activity index (tool counts, alert counts) at startup alongside session metadata — same lazy-index pattern used for session list. Full detail only on demand.
```
Startup:
For each session: read first/last line only → session metadata
Do NOT parse tool_use blocks
On session select:
Check SQLite cache → parse if stale → display
```
---
## Implementation Phases
### Phase 1: Parser + Models (1-2 days)
- [ ] `activity.rs` models
- [ ] `activity.rs` parser (stream JSONL, extract tool_use)
- [ ] Alert detection rules
- [ ] Unit tests for parser with fixture JSONL files
### Phase 2: SQLite Integration (1 day)
- [ ] Schema migration
- [ ] Cache queries (insert / select / invalidate)
- [ ] Benchmark: 1000 sessions cold start
### Phase 3: TUI Tab (2-3 days)
- [ ] Tab 10 registration in `app.rs`
- [ ] Files sub-tab rendering
- [ ] Commands sub-tab rendering
- [ ] Network sub-tab rendering
- [ ] Alerts sub-tab rendering
- [ ] Timeline sub-tab rendering
- [ ] Keybindings
### Phase 4: Web UI (1-2 days)
- [ ] API endpoints
- [ ] /activity page routing
- [ ] HTML rendering (same style as existing pages)
### Phase 5: Polish (1 day)
- [ ] Export to JSON (`e` key in TUI)
- [ ] Clipboard copy (`y` key)
- [ ] Filter (`f` key)
- [ ] Documentation update in ccboard README
---
## Out of Scope
- **Real-time monitoring** (watching live session as it runs) — future phase
- **Cross-session aggregation** (e.g., "all files read this week") — future phase
- **Alert notifications** (desktop/Slack notifications) — future phase
- **Blocking rules** (ccboard stays read-only, no Claude Code process interaction)
---
## Related
- `guide/observability.md` — Section "Activity Monitoring" and "External Monitoring Tools"
- `guide/data-privacy.md` — What leaves your machine and why
- ccboard README — Architecture and contribution guide

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@ -15,8 +15,11 @@ tags: [observability, guide, performance]
3. [Setting Up Session Logging](#setting-up-session-logging)
4. [Analyzing Session Data](#analyzing-session-data)
5. [Cost Tracking](#cost-tracking)
6. [Patterns & Best Practices](#patterns--best-practices)
7. [Limitations](#limitations)
6. [Activity Monitoring](#activity-monitoring)
7. [External Monitoring Tools](#external-monitoring-tools)
8. [Proxying Claude Code](#proxying-claude-code)
9. [Patterns & Best Practices](#patterns--best-practices)
10. [Limitations](#limitations)
---
@ -461,6 +464,217 @@ claude_budget_check
---
## Activity Monitoring
Cost tracking tells you *how much* you spend. Activity monitoring tells you *what Claude Code actually did*: which files it read, which commands it ran, which URLs it fetched. This is the audit layer.
### Session JSONL: The Ground Truth
Every tool call Claude Code makes is recorded in the session JSONL files at `~/.claude/projects/<project>/`. Each entry with `type: "assistant"` contains a `content` array where `type: "tool_use"` blocks document every action.
```bash
# Find your session files
ls ~/.claude/projects/-$(pwd | tr '/' '-')-/
# Inspect tool calls in a session
cat ~/.claude/projects/-your-project-/SESSION_ID.jsonl | \
jq 'select(.type == "assistant") | .message.content[]? | select(.type == "tool_use") | {tool: .name, input: .input}'
```
### What Tool Calls Reveal
| Tool | What It Exposes |
|------|----------------|
| `Read` | Files accessed (path, line range) |
| `Write` / `Edit` | Files modified (path, content delta) |
| `Bash` | Commands executed (full command string) |
| `WebFetch` | URLs fetched (may include data sent in POST) |
| `Task` | Subagent spawns (prompt passed to sub-model) |
| `Glob` / `Grep` | Search patterns and scope |
### Practical Audit Queries
```bash
# All files read in a session
SESSION=~/.claude/projects/-your-project-/SESSION_ID.jsonl
jq 'select(.type == "assistant") | .message.content[]? | select(.type == "tool_use" and .name == "Read") | .input.file_path' "$SESSION"
# All bash commands executed
jq 'select(.type == "assistant") | .message.content[]? | select(.type == "tool_use" and .name == "Bash") | .input.command' "$SESSION"
# All URLs fetched
jq 'select(.type == "assistant") | .message.content[]? | select(.type == "tool_use" and .name == "WebFetch") | .input.url' "$SESSION"
# Count tool usage by type
jq -r 'select(.type == "assistant") | .message.content[]? | select(.type == "tool_use") | .name' "$SESSION" | sort | uniq -c | sort -rn
```
### Sensitive Patterns to Watch
These tool call patterns are worth flagging in automated audits:
| Pattern | Risk | Detection |
|---------|------|-----------|
| `Read` on `.env`, `*.pem`, `id_rsa` | Credential access | `jq '... | select(.input.file_path | test("\\.(env|pem|key)$"))'` |
| `Bash` with `rm -rf`, `git push --force` | Destructive action | `jq '... | select(.input.command | test("rm -rf\|force-push"))'` |
| `WebFetch` on external URLs | Data exfiltration risk | `jq '... | select(.name == "WebFetch") | .input.url'` |
| `Write` on files outside project root | Scope creep | Check paths against working directory |
> **Security context**: Claude Code operates read-write on your filesystem with your user permissions. The JSONL audit trail is your record of what happened. For teams, consider syncing these logs to immutable storage.
---
## External Monitoring Tools
Beyond the hook-based approach above, the community has built purpose-specific tools. This is a factual snapshot as of early 2026.
| Tool | Type | What It Does | Install |
|------|------|-------------|---------|
| **ccusage** | CLI / TUI | Cost tracking from JSONL — the de-facto reference for pricing data. ~10K GitHub stars. | `npm i -g ccusage` |
| **claude-code-otel** | OpenTelemetry exporter | Emits spans to any OTEL collector. Integrates with Prometheus + Grafana dashboards. Enterprise-focused. | `npm i -g claude-code-otel` |
| **Akto** | SaaS / self-hosted | API security guardrails + audit trail. Intercepts at the API level, flags policy violations. | [akto.io](https://akto.io) |
| **MLflow Tracing** | SDK integration | Structured traces (tool usage, latency, inputs/outputs). Requires wrapping calls in Python. | `pip install mlflow` |
| **ccboard** | TUI + Web | Unified dashboard for sessions, costs, stats. Activity/audit tab in development. | `cargo install ccboard` |
### Decision Guide
```
Want cost numbers fast? → ccusage (CLI, 0 config)
Need enterprise audit trail? → claude-code-otel + Grafana or Akto
Already using MLflow for ML? → MLflow tracing integration
Want a persistent TUI/Web UI? → ccboard
```
### ccusage
```bash
npm i -g ccusage
ccusage # Today's usage
ccusage --days 7 # Last 7 days
```
Reads directly from `~/.claude/projects/**/*.jsonl`. No API keys, no data sent externally. Source: [github.com/ryoppippi/ccusage](https://github.com/ryoppippi/ccusage).
### claude-code-otel
Exports Claude Code activity as OpenTelemetry spans:
```bash
npm i -g claude-code-otel
claude-code-otel --collector http://localhost:4318
```
Spans include tool name, duration, token counts. Plug into any OTEL-compatible backend (Jaeger, Tempo, Datadog). Source: [github.com/badger-99/claude-code-otel](https://github.com/badger-99/claude-code-otel).
### ccboard
```bash
cargo install ccboard
ccboard # Launch TUI
ccboard --web # Launch Web UI (localhost:3000)
```
Source: [github.com/FlorianBruniaux/ccboard](https://github.com/FlorianBruniaux/ccboard). An Activity tab covering file access, bash commands, and network calls is planned (see `docs/resource-evaluations/ccboard-activity-module-plan.md`).
---
## Proxying Claude Code
A common question: "Can I run Proxyman/Charles to see what Claude Code sends to Anthropic?"
**Short answer**: Not directly. Here's why, and what works instead.
### Why System Proxies Don't Work
Claude Code is a Node.js process. By default, Node.js ignores system-level proxy settings (`HTTP_PROXY`, `HTTPS_PROXY`) — it uses its own TLS stack and doesn't read macOS/Windows proxy configurations.
Additionally, even if traffic flows through your proxy, the TLS certificate mismatch causes Claude Code to fail (`CERT_UNTRUSTED`).
### Option 1: Trust a MITM Certificate (Proxyman / Charles)
Force Node.js to trust your proxy's CA certificate:
```bash
# Export Proxyman's CA cert (File → Export → Root Certificate)
# Then point Node.js at it:
export NODE_EXTRA_CA_CERTS="/path/to/proxyman-ca.pem"
# Start Claude Code — traffic will now route through Proxyman
claude
```
Same approach works for Charles: `Help → SSL Proxying → Export Charles Root Certificate`.
**Caveats**:
- Some Claude Code versions use certificate pinning for `api.anthropic.com` — this may still fail
- This approach requires a running Proxyman/Charles instance listening on the configured port
### Option 2: Redirect API Traffic with ANTHROPIC_API_URL
Point Claude Code at a local interceptor instead of `api.anthropic.com`:
```bash
export ANTHROPIC_API_URL="http://localhost:8080"
claude
```
Run any HTTP proxy/logger on port 8080 that forwards to `https://api.anthropic.com`. This bypasses TLS entirely for the Claude Code → proxy hop.
**Use cases**: Logging request payloads, injecting headers, rate-limiting locally, replaying requests.
### Option 3: mitmproxy (Recommended)
[mitmproxy](https://mitmproxy.org) is the cleanest open-source solution. It provides a scriptable HTTPS proxy with a web UI and terminal interface.
```bash
# Install
brew install mitmproxy # macOS
# or: pip install mitmproxy
# Start transparent proxy on port 8080
mitmproxy --listen-port 8080
# In a new terminal, point Claude Code at it
export NODE_EXTRA_CA_CERTS="$(python3 -c 'import mitmproxy.certs; print(mitmproxy.certs.Cert.default_ca_path())')"
export HTTPS_PROXY="http://localhost:8080"
claude
```
The mitmproxy web UI (`mitmweb`) at `http://localhost:8081` shows full request/response bodies — including the JSON payloads Claude Code sends to Anthropic.
**What you'll see**: System prompt, user messages, tool definitions, tool results, model parameters.
### Option 4: Minimal Python Logging Proxy
For a zero-dependency approach:
```python
# proxy.py — simple HTTPS logging proxy
from http.server import HTTPServer, BaseHTTPRequestHandler
import urllib.request, json, sys
TARGET = "https://api.anthropic.com"
class LoggingProxy(BaseHTTPRequestHandler):
def do_POST(self):
length = int(self.headers["Content-Length"])
body = self.rfile.read(length)
print(json.dumps(json.loads(body), indent=2)) # Log request
# Forward to Anthropic...
HTTPServer(("localhost", 8080), LoggingProxy).serve_forever()
```
```bash
python3 proxy.py &
export ANTHROPIC_API_URL="http://localhost:8080"
claude
```
> **Privacy note**: Proxied traffic includes everything in the conversation context — file contents Claude has read, your code, any secrets it encountered. Handle proxy logs accordingly.
---
## Patterns & Best Practices
### 1. Weekly Review